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18 pages, 1820 KiB  
Article
DicomOS: A Preliminary Study on a Linux-Based Operating System Tailored for Medical Imaging and Enhanced Interoperability in Radiology Workflows
by Tiziana Currieri, Orazio Gambino, Roberto Pirrone and Salvatore Vitabile
Electronics 2025, 14(2), 330; https://doi.org/10.3390/electronics14020330 - 15 Jan 2025
Viewed by 280
Abstract
In this paper, we propose a Linux-based operating system, namely, DicomOS, tailored for medical imaging and enhanced interoperability, addressing user-friendly functionality and the main critical needs in radiology workflows. Traditional operating systems in clinical settings face limitations, such as fragmented software ecosystems and [...] Read more.
In this paper, we propose a Linux-based operating system, namely, DicomOS, tailored for medical imaging and enhanced interoperability, addressing user-friendly functionality and the main critical needs in radiology workflows. Traditional operating systems in clinical settings face limitations, such as fragmented software ecosystems and platform-specific restrictions, which disrupt collaborative workflows and hinder diagnostic efficiency. Built on Ubuntu 22.04 LTS, DicomOS integrates essential DICOM functionalities directly into the OS, providing a unified, cohesive platform for image visualization, annotation, and sharing. Methods include custom configurations and the development of graphical user interfaces (GUIs) and command-line tools, making them accessible to medical professionals and developers. Key applications such as ITK-SNAP and 3D Slicer are seamlessly integrated alongside specialized GUIs that enhance usability without requiring extensive technical expertise. As preliminary work, DicomOS demonstrates the potential to simplify medical imaging workflows, reduce cognitive load, and promote efficient data sharing across diverse clinical settings. However, further evaluations, including structured clinical tests and broader deployment with a distributable ISO image, must validate its effectiveness and scalability in real-world scenarios. The results indicate that DicomOS provides a versatile and adaptable solution, supporting radiologists in routine tasks while facilitating customization for advanced users. As an open-source platform, DicomOS has the potential to evolve alongside medical imaging needs, positioning it as a valuable resource for enhancing workflow integration and clinical collaboration. Full article
(This article belongs to the Section Computer Science & Engineering)
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Figure 1
<p>Screenshot of the DicomOS interface, showing the customized theme, icons, and new graphical user interface applications tailored for clinical use.</p>
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<p>Example process for creating GUI executables in DicomOS, showing Python code execution through a shell script and desktop entry to facilitate easy user access.</p>
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<p>Workflow integration in DicomOS, demonstrating the development of GUI executables for medical professionals and command-line tools for programmers. The two sections are connected by a shared Python script layer, which supports GUI and command-line functionalities. This structure enables DicomOS to cater to the needs of both medical and technical users, providing an intuitive GUI for clinicians while offering direct, customizable access for programmers.</p>
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17 pages, 1877 KiB  
Article
A Comparative Analysis of the Antioxidant Profiles Generated by the RoXstaTM System for Diverse Biological Fluids Highlights the Powerful Protective Role of Human Seminal Plasma
by Robert J. Aitken, Alexandra Wilkins, Natasha Harrison, Mohammad Bahrami, Zamira Gibb, Kaitlin McIntosh, Quan Vuong and Sarah Lambourne
Antioxidants 2025, 14(1), 90; https://doi.org/10.3390/antiox14010090 - 14 Jan 2025
Viewed by 389
Abstract
(1) Background: The RoXstaTM system has been developed as a rapid, effective means of profiling different types of antioxidant activity. The purpose of this study was to examine its performance utilizing a diverse array of biological fluids including semen, blood plasma, serum, [...] Read more.
(1) Background: The RoXstaTM system has been developed as a rapid, effective means of profiling different types of antioxidant activity. The purpose of this study was to examine its performance utilizing a diverse array of biological fluids including semen, blood plasma, serum, urine, saliva, follicular fluid and plant extracts. (2) Methods: The RoXstaTM system was used to assess the ability of different fluids to suppress free radical formation as well as scavenge a variety of toxic oxygen metabolites including free radicals and both hydrogen and organic peroxides. (3) Results: Human semen was shown to have significantly (p < 0.001) more peroxide scavenging power than any other fluid tested (10–14 mM vitamin C equivalent compared with 1–2 mM for blood serum or plasma), while urine was particularly effective in scavenging free radicals and preventing free radical formation (p < 0.001). The powerful antioxidant properties of human semen were shown to reside within the seminal plasma (SP) fraction, rather than the spermatozoa, and to be resistant to snap freezing in liquid nitrogen. Moreover, comparative studies demonstrated that human SP exhibited significantly (p < 0.001) higher levels of antioxidant potential than any other species examined (stallion, bull, dog) and that this intense activity reflected the relative vulnerability of human spermatozoa to peroxide attack. (4) Conclusions: The RoXstaTM system provides valuable information on the antioxidant profile of complex biological fluids, supporting its diagnostic role in conditions associated with oxidative stress. Based on the results secured in this study, human semen is identified as a particularly rich source of antioxidants capable of scavenging both hydrogen and organic peroxides, in keeping with the high susceptibility of human spermatozoa to peroxide-mediated damage. Full article
(This article belongs to the Section Health Outcomes of Antioxidants and Oxidative Stress)
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Figure 1
<p>Impact of sperm presence and freezing on the antioxidant activity of human semen. (<b>A</b>) Organic peroxide scavenging activity. (<b>B</b>) Hydrogen peroxide scavenging activity. (<b>C</b>) Inhibition of ABTS•<sup>+</sup> radical formation. (<b>D</b>) ABTS•<sup>+</sup> radical scavenging activity. All results are expressed as vitamin C equivalents. All columns not connected by the same letter are significantly different. Data presented as means ± S.E.M.; (<span class="html-italic">n</span> = 9).</p>
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<p>Analysis of antioxidant activity in a range of biofluids using the RoXsta<sup>TM</sup> system. (<b>A</b>) Organic peroxide scavenging activity. (<b>B</b>) Hydrogen peroxide scavenging activity. (<b>C</b>) Inhibition of ABTS<sup>•+</sup> radical formation. (<b>D</b>) ABTS<sup>•+</sup> radical scavenging activity. All results are expressed as vitamin C equivalents. All columns not connected by the same letter are significantly different. Data presented as means ± S.E.M.; <span class="html-italic">n</span> = 9.</p>
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<p>Antioxidant activity in the seminal plasma in different species. (<b>A</b>) Organic peroxide scavenging activity. (<b>B</b>) Hydrogen peroxide scavenging activity. (<b>C</b>) Inhibition of ABTS<sup>•+</sup> radical formation. (<b>D</b>) ABTS<sup>•+</sup> radical scavenging activity. All results are expressed as vitamin C equivalents. All columns not connected by the same letter are significantly different. Data presented as means ± S.E.M.; <span class="html-italic">n</span> = 9.</p>
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<p>Dose-dependent impact of cumene hydroperoxide on sperm motility in different species. Both total motility and progressive motility were assessed using a CASA system and two time points were examined: 15–30 min and 2 h. (<b>A</b>) Human spermatozoa after 15–30 min exposure to cumene hydroperoxide. (<b>B</b>) Human spermatozoa after 2 h exposure to cumene hydroperoxide. (<b>C</b>) Bovine spermatozoa after 15–30 min exposure to cumene hydroperoxide. (<b>D</b>) Bovine spermatozoa after 2 h exposure to cumene hydroperoxide. (<b>E</b>) Equine spermatozoa after 15–30 min exposure to cumene hydroperoxide. (<b>F</b>) Equine spermatozoa after 2 h exposure to cumene hydroperoxide. All columns not connected by the same letter are significantly different. Data presented as means ± S.E.M.; <span class="html-italic">n</span> = 3.</p>
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<p>Analysis of the impact of human seminal plasma on the cytotoxic influenceof cumene hydroperoxide on human spermatozoa. A fixed concentration of purified human spermatozoa (10 × 10<sup>6</sup>/mL) was exposed to 0.25 mM cumene hydroperoxide alone or in the presence of human seminal plasma (3.125–12.5%) and the impact on sperm motility assessed using CASA. (<b>A</b>) Total motility. (<b>B</b>) Progressive motility. A 15–30 min exposure to cumene hydroperoxide significantly suppressed both motility (<span class="html-italic">p</span> &lt; 0.05) and progressive motility (<span class="html-italic">p</span> &lt; 0.01); however, this peroxide-mediated impact was negated by the presence of seminal plasma. All columns not connected by the same letter are significantly different. Data presented as means ± S.E.M.; <span class="html-italic">n</span> = 7.</p>
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17 pages, 3620 KiB  
Article
Extending Satellite Predictions of Coral Disease Outbreak Risk to Non-Seasonal Coral Reef Regions
by Momoe Yoshida and Scott F. Heron
Remote Sens. 2025, 17(2), 262; https://doi.org/10.3390/rs17020262 - 13 Jan 2025
Viewed by 275
Abstract
Coral disease outbreaks have increased in frequency and extent worldwide since the 1970s, coinciding with the rapid increase in ocean warming. Summer and winter temperature-based metrics have proven effective in predicting coral disease outbreaks in seasonal coral reef regions. However, their utility is [...] Read more.
Coral disease outbreaks have increased in frequency and extent worldwide since the 1970s, coinciding with the rapid increase in ocean warming. Summer and winter temperature-based metrics have proven effective in predicting coral disease outbreaks in seasonal coral reef regions. However, their utility is unknown in non-seasonal coral reef areas. Here, a new methodology, independent of seasonal patterns, is developed for application in both seasonal and non-seasonal coral reef regions. Percentile-based metric thresholds were defined from seasonal equivalents in the Great Barrier Reef (GBR) and tested in seasonal and non-seasonal coral reef regions of the tropical Pacific Ocean. Between new and existing methodologies, median differences of 0.00 °C (thresholds) and 0.00 °C-weeks (metrics) for Hot Snap and Cold Snap; and 0.01 °C (threshold) and −0.17 °C-weeks (metric) for Winter Condition were observed among reef pixels of the GBR. The new methodology shows strong consistency with the existing tools used for seasonal regions (e.g., R2 = 0.811–0.903; GBR case studies). Comparisons of the new metrics with disease observations were constrained by the limited availability of disease data; however, the comparisons undertaken suggest predictive capability in non-seasonal regions. To establish robust correlations, further direct comparisons of the new metrics with disease data across various non-seasonal regions and timeframes are essential. With ocean warming projected to persist in the coming decades, improving the predictive tools used to assess ecological impacts is necessary to support effective coral reef management. Full article
(This article belongs to the Section Coral Reefs Remote Sensing)
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Graphical abstract

Graphical abstract
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<p>Coral reef regions within the FORE-C project: (<b>1</b>) the Great Barrier Reef (light grey indicates 4412 reef-containing pixels within the coordinate range of [140°E–155°E, 25°S–10°S]); (<b>2</b>) Guam and Northern Mariana Islands; (<b>3</b>) Howland (a) and Jarvis (b) Islands (noting the very sparse nature of reef locations). Locations where 5 km × 5 km pixel SST data are used in subsequent figures are highlighted (light-blue outline); letters (a,b,c) are provided to cross-reference specific pixels. The global map shows these and other FORE-C regions (grey boxes) from north to south as follows: Wake Atoll, the Hawaiian archipelago, and Johnston Atoll; Palmyra Atoll and Kingman Reef; and American Samoa (including Swains Island). The location of Baker Island (0.194°N, 176.477°W) is shown as a single dot in panel (<b>3</b>) just to the south of Howland Island (<b>3</b>a).</p>
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<p>Hot Snap, Cold Snap, and Winter Condition metrics (°C-weeks) for a sample SST time-series extracted from a 5 km × 5 km reef pixel at 153°4′E, 24°22′S for the period from 01 May 2001 to 01 November 2002 (for the panel label, refer to <a href="#remotesensing-17-00262-f001" class="html-fig">Figure 1</a>). The Hot Snap metric (area in red) accumulates when temperature exceeds the summer AV plus one summer SD (red dashed line). The Cold Snap metric (area in blue at left) accumulates when temperature drops below the winter AV minus one winter SD (bottom blue dashed line). The Winter Condition metric (area in purple at right) accumulates (1) within the three winter months (period of accumulation), and/or (2) when temperature is equal to or below the winter AV plus one winter SD (top purple dashed line). As the wintertime values combine with the subsequent summer conditions to predict disease risk [<a href="#B5-remotesensing-17-00262" class="html-bibr">5</a>], the Hot Snap of 3.02 °C-weeks and the Cold Snap of −1.65 °C-weeks predict disease outbreak risk in 2002, while the Winter Condition of −2.48 °C-weeks informs disease prediction for 2003. Red and blue arrows along the time axis indicate the summer reset month (i.e., October for Hot Snap) and the winter reset month (i.e., May for Cold Snap and Winter Condition), respectively; this is when each metric is initialised to 0 °C-weeks each year. The second axis (at right) illustrates the percentile value corresponding to each of the SST thresholds specified in this pixel.</p>
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<p>(<b>a</b>) Variabilities in percentile values corresponding to the five AV- and SD-based thresholds for the 21-year period 1985–2005. Green lines are the median percentiles across reef-containing pixels in the Great Barrier Reef. Boxes indicate the interquartile range (IQR), and whiskers extend to the farthest data point within 1.5 × IQR from the box. Circles indicate outliers beyond the extent of the whiskers. (<b>b</b>) Spatial variations in differences in Hot Snap thresholds (97th percentile—summer AV+SD). Threshold values (°C) were derived from the daily SST between 1985 and 2005 for each pixel. (<b>c</b>) Spatial variations in the difference in Hot Snap for 2001/2002 (percentile-based—summer AV+SD). Histograms in the second and third panels show the distribution of thresholds and metrics, respectively, among 4412 reef-containing pixels (colours correspond to spatial variations).</p>
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<p>SST time-series (2000–2020) at seasonal (top-left; 1a), weakly seasonal (bottom-left; 2), and non-seasonal (right panels; 3a,3b) exemplar pixels (panel labels refer to <a href="#remotesensing-17-00262-f001" class="html-fig">Figure 1</a>). Pale red, pale purple, and light blue lines are the existing AV- and SD-based thresholds (dashed for summer AV+SD, winter AV+SD, and winter AV–SD; solid for winter AV), while red, purple, and blue lines indicate the new percentile-based thresholds (97th, 28th, 16th, and 5th percentiles).</p>
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<p>Time-series at Jarvis Island (2000–2020; panel labels refer to the pixel location in <a href="#remotesensing-17-00262-f001" class="html-fig">Figure 1</a>.3b) of the (<b>a</b>) existing AV- and SD-based and the (<b>b</b>) new percentile-based Hot Snap (red), Cold Snap (blue) and Winter Condition (purple) metrics. Red and blue arrows indicate features referred to in the text.</p>
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<p>Change in the reset timing for the ‘summer’ (<b>left</b>) and ‘winter’ (<b>right</b>) metrics (absolute number of months) between the new percentile-based and existing AV- and SD-based methodologies at reef pixels (shown in <a href="#remotesensing-17-00262-f001" class="html-fig">Figure 1</a>). The colour intensity indicates the percentage of pixels in a region with a certain difference. Analyses were conducted for the baseline period 1985–2005. Numbers of reef-containing pixels within each of the regions were: the Great Barrier Reef, 4412 pixels; the Hawaiian archipelago, 630 pixels; Johnston Atoll, 23 pixels; Guam and Northern Mariana Islands, 155 pixels; American Samoa, 56 pixels; Wake Atoll, 6 pixels; Palmyra Atoll and Kingman Reef, 18 pixels; Howland and Baker Islands, 12 pixels; and Jarvis Island, 2 pixels.</p>
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<p>Time-series of the new percentile-based Hot Snap (red), Cold Snap (blue), and Winter Condition (purple) for (<b>left</b>) Howland Island, 2012–2018; and (<b>right</b>) Piti, Guam, 2012–2014 (for the panel labels, refer to <a href="#remotesensing-17-00262-f001" class="html-fig">Figure 1</a>). Black dots indicate the observed mean prevalence of white syndrome.</p>
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14 pages, 7240 KiB  
Article
Restoration of Genuine Sensation and Proprioception of Individual Fingers Following Transradial Amputation with Targeted Sensory Reinnervation as a Mechanoneural Interface
by Alexander Gardetto, Gernot R. Müller-Putz, Kyle R. Eberlin, Franco Bassetto, Diane J. Atkins, Mara Turri, Gerfried Peternell, Ortrun Neuper and Jennifer Ernst
J. Clin. Med. 2025, 14(2), 417; https://doi.org/10.3390/jcm14020417 - 10 Jan 2025
Viewed by 674
Abstract
Background/Objectives: Tactile gnosis derives from the interplay between the hand’s tactile input and the memory systems of the brain. It is the prerequisite for complex hand functions. Impaired sensation leads to profound disability. Various invasive and non-invasive sensory substitution strategies for providing [...] Read more.
Background/Objectives: Tactile gnosis derives from the interplay between the hand’s tactile input and the memory systems of the brain. It is the prerequisite for complex hand functions. Impaired sensation leads to profound disability. Various invasive and non-invasive sensory substitution strategies for providing feedback from prostheses have been unsuccessful when translated to clinical practice, since they fail to match the feeling to genuine sensation of the somatosensory cortex. Methods: Herein, we describe a novel surgical technique for upper-limb-targeted sensory reinnervation (ulTSR) and report how single digital nerves selectively reinnervate the forearm skin and restore the spatial sensory capacity of single digits of the amputated hand in a case series of seven patients. We explore the interplay of the redirected residual digital nerves and the interpretation of sensory perception after reinnervation of the forearm skin in the somatosensory cortex by evaluating sensory nerve action potentials (SNAPs), somatosensory evoked potentials (SEPs), and amputation-associated pain qualities. Results: Digital nerves were rerouted and reliably reinnervated the forearm skin after hand amputation, leading to somatotopy and limb maps of the thumb and four individual fingers. SNAPs were obtained from the donor digital nerves after stimulating the recipient sensory nerves of the forearm. Matching SEPs were obtained after electrocutaneous stimulation of the reinnervated skin areas of the forearm where the thumb, index, and little fingers are perceived. Pain incidence was significantly reduced or even fully resolved. Conclusions: We propose that ulTSR can lead to higher acceptance of prosthetic hands and substantially reduce the incidence of phantom limb and neuroma pain. In addition, the spatial restoration of lost-hand sensing and the somatotopic reinnervation of the forearm skin may serve as a machine interface, allowing for genuine sensation and embodiment of the prosthetic hand without the need for complex neural coding adjustments. Full article
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Graphical abstract
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<p>(<b>A</b>) Recipient nerves on the forearm; (<b>B</b>) LM (=phantom hand with fingers 1–5) after reinnervation. (<b>C</b>) Drawing of the amputation level and preparation of the median and ulnar nerves. (<b>D</b>) Microsurgical separation of the two fascicles of the median nerve and the two branches of the ulnar nerve. (<b>E</b>) Transposition of the separated two median nerve fascicles and two ulnar branches with performance of ulTSR I-III and TMR below the elbow joint.</p>
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<p>End-to-end re-coaptation and RPNI wrapped around the coaptation site as neuroma prevention.</p>
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<p>Experimental setup for SEP measurement. (<b>Left</b>) EEG cap attached and setup of electrodes at stimulation areas. (<b>Middle</b>) Electrode placement for stimulation of thumb, index, and little finger. (<b>Right</b>) Stimulation setup for thumb, index ,and little finger on the healthy hand.</p>
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<p>(<b>A</b>) Self-drawn LM by the patient is shown on the left forearm stump of patient 4 and on the right forearm of patient 6, both 5 months after undergoing ulTSR. For patient 6, the entire limb map is visible by rotating the forearm into a supinated position. (<b>B</b>) LM drawn by patient 3 on the right forearm 5 months after ulTSR. Perception of the ice pad as a cold sensation on the lateral edge of the LM corresponding to the thumb.</p>
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<p>SEPs obtained from electrocutaneous stimulation applied on thumb, index and little fingers on the healthy hand (first row) and thumb, index and little finger area on the impaired side (second row) from three subjects (first column P01, second column P02 and third column P03). They are displayed after averaging groups of four channels as denoted by the colorcoded boxes on the topographical maps (red: FC5, CP5, C3, T7—blue: FC1, C3, CP1, Cz—purple: FC2, Cz, CP2, C4—brown: FC6, C4, CP6, T8). The topographical maps depict the spatial distribution of the electrical activity across the scalp at the time point of maximum negative SEP magnitude (denoted in textboxes within each subplot). The impaired side of each subject, as well as the number of trials used for averaging are shown on top of each subplot.</p>
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8 pages, 861 KiB  
Proceeding Paper
Predicting the Flexural Modulus of Variable Pitch Angle, Porous Bouligand Structured 3D Printed Polymer
by Praveenkumar S. Patil, Edward D. McCarthy and Parvez Alam
Mater. Proc. 2025, 20(1), 1; https://doi.org/10.3390/materproc2025020001 - 8 Jan 2025
Viewed by 183
Abstract
Our study considered porous Bouligand structured polymer, comprising polymer fibres with porous spaces between them. These are more complicated structures than the non-porous Bouligand, since the addition of porosity into the material creates a secondary variable besides fibre pitch. There is currently no [...] Read more.
Our study considered porous Bouligand structured polymer, comprising polymer fibres with porous spaces between them. These are more complicated structures than the non-porous Bouligand, since the addition of porosity into the material creates a secondary variable besides fibre pitch. There is currently no analytical model available to predict the modulus of such materials. Our paper explores the correlation between porosity, polymer fibre pitch angle, and flexural modulus in porous Bouligand structured polymers. Our structures were digitally manufactured using stereolithography (SLA) additive manufacturing methods, after which they were subjected to three-point bending tests. Our aim was to simply and parametrically develop an analytical model that would capture the influences of both porosity and polymer fibre pitch angle on the flexural modulus of the material. Our model is expressed as Ef=Eporo(aθf3+bθf2+cθf+d), and we derive this by applying non-linear regression to our experimental data. This model predicts the flexural modulus, Ef, of porous Bouligand structured polymer as a function of both porosity and pitch angle. Here, Eporo is defined as the solid material modulus, Esolid, multiplied by porosity, ϕ and is a linear reduction in the modulus as a function of increasing porosity, while θf signifies the polymer fibre pitch angle. This relationship is relatively accurate within the range of 10° ≤ θf ≤ 50°, and for porosity values ranging from 0.2770.356, as supported by our evidence to date. Full article
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Figure 1
<p>SEM micrographs of (<b>a</b>) the cross-section of a fractured plunger (scale bar = 1 mm), (<b>b</b>) the bottom of the fractured plunger of snapping shrimp identifying the inner [i], middle [ii] and outer [iii] layers (scale bar = 200 μm), (<b>c</b>) a closer view of the middle layer showing it to be a laminated porous structure comprising pine-treeshaped matter (scale bar = 20 μm), and (<b>d</b>) a higher magnification of the porous pine-tree structures (scale bar = 3 μm), reproduced from [<a href="#B9-materproc-20-00001" class="html-bibr">9</a>] with the permission of Elsevier, and (<b>e</b>) schematic representation of the porous helicoidal architecture.</p>
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<p>(<b>a</b>) CAD model for designed 3-point bending porous Bouligand structured specimen; (<b>b</b>) Instron 3369 3-point bending test set-up (96 mm span).</p>
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<p>Average bending modulus against pitch angle for porous Bouligand structured polymer coupons with variable fibre spacing.</p>
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<p>Ratio of <math display="inline"><semantics> <msub> <mi>E</mi> <mrow> <mi>e</mi> <mi>x</mi> <mi>p</mi> <mi>e</mi> <mi>r</mi> <mi>i</mi> <mi>m</mi> <mi>e</mi> <mi>n</mi> <mi>t</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>E</mi> <mrow> <mi>p</mi> <mi>o</mi> <mi>r</mi> <mi>o</mi> </mrow> </msub> </semantics></math> against pitch angle for porous Bouligand structured polymer coupons with variable fibre spacing (applying the modified Alam model (Equation (<a href="#FD5-materproc-20-00001" class="html-disp-formula">5</a>)) to determine the elastic modulus).</p>
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14 pages, 6164 KiB  
Article
Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise
by Suhyeon Park, Jongwon Seok and Jungpyo Hong
J. Mar. Sci. Eng. 2025, 13(1), 96; https://doi.org/10.3390/jmse13010096 - 7 Jan 2025
Viewed by 327
Abstract
Snapping Shrimps (SSs) live in warm marine areas. Snapping Shrimps Noise (SSN), loud sounds generated by these underwater creatures, serves as a major source of in performance degradation by decreasing the Signal-to-Noise Ratio (SNR) for underwater acoustic communication and target detection. Thus, we [...] Read more.
Snapping Shrimps (SSs) live in warm marine areas. Snapping Shrimps Noise (SSN), loud sounds generated by these underwater creatures, serves as a major source of in performance degradation by decreasing the Signal-to-Noise Ratio (SNR) for underwater acoustic communication and target detection. Thus, we propose a unified solution for SSN detection and reduction in this paper. First, Signal Presence Probability (SPP) is calculated for SSN detection, and then the SPP is provided to Non-negative Matrix Factorization (NMF) as a weight for SSN reduction. In the proposed method, SPP acts as a key factor for SSN detection and reduction. To verify the effectiveness of the proposed method, the SAVEX-15 dataset, real ocean data containing SSN, is used. As a result of SSN detection, it was confirmed that SPP presented the highest performance in the Receiver Operating Characteristics curve, and we achieved 0.014 higher Area Under the Curve compared to competing methods. In addition, Continuous Wave and Linear Frequency Modulation signals were set as target signals and combined with the SAVEX-15 data for evaluation of noise reduction performance. As a result, the performance of the SPP-weighted NMF (WNMF) presented at least 2 dB higher SNR and SDR while maintaining less LSD compared to the Optimally Modified Log Spectral Amplitude estimator and NMF. Full article
(This article belongs to the Section Ocean Engineering)
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<p>Entire block diagram of the proposed method.</p>
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<p>SAVEX-15 dataset collection environment.</p>
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<p>Hydrophone input samples (10 ms) in the SAVEX-15 dataset, marked in blue, all correspond to SSNs. (<b>a</b>) Time series of a hydrophone input, (<b>b</b>) spectrogram of (<b>a</b>).</p>
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<p>Spectrograms of synthesized noisy hydrophone inputs at SNR 0 dB: (<b>a</b>) CW, (<b>b</b>) LFM.</p>
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<p>Normalized feature contours (<b>a</b>) input signal, (<b>b</b>) input signal power, (<b>c</b>) LP residual, (<b>d</b>) statistical model-based LRs, (<b>e</b>) proposed SPPs (blue: Gaussian, purple: Laplace, brown: Gamma).</p>
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<p>ROC curves of input power, LP analysis [<a href="#B13-jmse-13-00096" class="html-bibr">13</a>], statistical model-based LRs [<a href="#B15-jmse-13-00096" class="html-bibr">15</a>], and proposed SPPs.</p>
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<p>Logarithmic scaled ROC curves of input power, LP analysis [<a href="#B13-jmse-13-00096" class="html-bibr">13</a>], statistical model-based LRs [<a href="#B15-jmse-13-00096" class="html-bibr">15</a>], and proposed SPPs.</p>
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<p>Results of SSN reduction when the target signal is CW (<b>a</b>): Noisy inputs (SNR 0 dB), (<b>b</b>): Transient OM-LSA based SSN reduction, (<b>c</b>): NMF based SSN reduction, (<b>d</b>): Gaussian WNMF based SSN reduction, (<b>e</b>): Laplace WNMF based SSN reduction, (<b>f</b>): Gamma WNMF based SSN reduction.</p>
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<p>Results of SSN reduction when the target signal is LFM (<b>a</b>): Noisy inputs (SNR 0 dB), (<b>b</b>): Transient OM-LSA based SSN reduction, (<b>c</b>): NMF based SSN reduction, (<b>d</b>): Gaussian WNMF based SSN reduction, (<b>e</b>): Laplace WNMF based SSN reduction, (<b>f</b>): Gamma WNMF based SSN reduction.</p>
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19 pages, 8699 KiB  
Article
Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs
by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas and Dimitrios Tzetzis
Biomimetics 2025, 10(1), 1; https://doi.org/10.3390/biomimetics10010001 - 24 Dec 2024
Viewed by 749
Abstract
The current research aims to analyze the shape and structural features of the eggs of the lepidoptera species Melitaea sp. (Lepidoptera, Nympalidae) and develop design solutions through the implementation of a novel strategy of biomimetic design. Scanning electron microscopy (SEM) analysis of the [...] Read more.
The current research aims to analyze the shape and structural features of the eggs of the lepidoptera species Melitaea sp. (Lepidoptera, Nympalidae) and develop design solutions through the implementation of a novel strategy of biomimetic design. Scanning electron microscopy (SEM) analysis of the chorion reveals a medial zone that forms an arachnoid grid resembling a ribbed dome with convex longitudinal ribs and concave transverse ring members. A parametric design algorithm was created with the aid of computer-aided design (CAD) software Rhinoceros 3D and Grasshopper3D in order to abstract and emulate the biological model. A series of physical models were manufactured with variations in geometric parameters like the number of ribs and rings, their thickness, and curvature. Selective laser sintering (SLS) technology and Polyamide12 (nylon) material were utilized for the prototyping process. Quasi-static compression testing was carried out in conjunction with finite element analysis (FEA) to investigate the deformation patterns and stress dispersion of the models. The biomimetic ribbed dome appears to significantly dampen the snap-through behavior that is observed in typical solid and lattice domes, decreasing dynamic stresses developed during the response and preventing catastrophic failure of the structure. Increasing the curvature of the ring segments further reduces the snap-through phenomenon and improves the overall strength. However, excessive curvature has a negative effect on the maximum sustained load. Increasing the number and thickness of the transverse rings and the number of the longitudinal ribs also increases the strength of the dome. However, excessive increase in the rib radius leads to more acute snap-through behavior and an earlier failure. The above results were validated using respective finite element analyses. Full article
(This article belongs to the Special Issue Biomimetic 3D/4D Printing)
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<p>The novel biomimetic design strategy is characterized by by-directional feedback loops between its three stages: the “Research and Analysis” stage, followed by the “Abstraction and Emulation” stage, and concluded with the “Technical Evaluation” stage.</p>
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<p>Imaging of the eggs of <span class="html-italic">Melitaea</span> sp.: (<b>a</b>) the eggs under optical microscopy as seen deposited on a leaf; (<b>b</b>) a single egg under SEM with its three zones—apical, medial, and basal—visible; (<b>c</b>) close-up of the medial zone where the longitudinal ribs and transversal rings form an arachnoid grip pattern.</p>
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<p>Main geometric characteristics of a dome: (<b>a</b>) longitudinal ribs (n) and transverse rings (a); (<b>b</b>) height (H), its span (D), and the total subtended angle (φ).</p>
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<p>Longitudinal cross-section of a ribbed dome with ring member angle φ/α and rib member angle 2θ<sub>0</sub>.</p>
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<p>The interactive algorithm in the Grasshopper environment.</p>
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<p>Top-level workflow diagram of the design algorithm of the biomimetic ribbed dome. Important parameters are seen in light gray boxes.</p>
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<p>Second-level workflow diagram of the algorithmic generation of the biomimetic dome. Dependent parameters are in white and independent ones in light gray boxes.</p>
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<p>Digital models of the biomimetic dome structure: (<b>a</b>) Model 1 (baseline); (<b>b</b>) Model 2; (<b>c</b>) Model 3; (<b>d</b>) Model 4; (<b>e</b>) Model 5; (<b>f</b>) Model 6; (<b>g</b>) Model 7; (<b>h</b>) Model 8; (<b>i</b>) Model 9; (<b>j</b>) Model 10; (<b>k</b>) Model 11.</p>
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<p>Three-dimensionally printed specimens of the biomimetic dome structure: (<b>a</b>) Model 1 (baseline); (<b>b</b>) Model 2; (<b>c</b>) Model 3; (<b>d</b>) Model 4; (<b>e</b>) Model 5; (<b>f</b>) Model 6; (<b>g</b>) Model 7; (<b>h</b>) Model 8; (<b>i</b>) Model 9; (<b>j</b>) Model 10; (<b>k</b>) Model 11.</p>
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<p>Compressive behavior at 0 mm, 1.25 mm, 2.5 mm, and 5 mm of (<b>a</b>) Model 1 (baseline); (<b>b</b>) Model 2; (<b>c</b>) Model 3; (<b>d</b>) Model 4; (<b>e</b>) Model 5; (<b>f</b>) Model 6; (<b>g</b>) Model 7; (<b>h</b>) Model 8; (<b>i</b>) Model 9; (<b>j</b>) Model 10 and (<b>k</b>) Model 11.</p>
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<p>Failure points of the ribbed dome: (<b>a</b>) buckling and fracture of individual rib members; (<b>b</b>) buckling and fracture of individual ring members; (<b>c</b>) line instability, where a whole ring collapses.</p>
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<p>A typical curve of the snap-through response is observed in a solid or regular ribbed dome under compressive load.</p>
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<p>Load–deflection curves of the 3D-printed biomimetic domes when tested under compressive load.</p>
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<p>(<b>a</b>) The stress–strain behavior of the biomimetic lattice structures generated by finite element analysis (FEA), (<b>b</b>) vertical deformation, and (<b>c</b>) stress distribution of the biomimetic structure under compression load were analyzed using the material properties of PA12 within the FE model.</p>
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<p>(<b>a</b>) The stress–strain behavior of the biomimetic lattice structures generated by finite element analysis (FEA), (<b>b</b>) vertical deformation, and (<b>c</b>) stress distribution of the biomimetic structure under compression load were analyzed using the material properties of PA12 within the FE model.</p>
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15 pages, 3307 KiB  
Article
Lack of Vertical Transmission of Grapevine Red Blotch Virus by Spissistilus festinus and Sex-Associated Differences in Horizontal Transmission
by Victoria J. Hoyle, Mackenzi Schultz, Elliot J. McGinnity Schneider, Brandon G. Roy and Marc Fuchs
Insects 2024, 15(12), 1014; https://doi.org/10.3390/insects15121014 - 21 Dec 2024
Viewed by 484
Abstract
Grapevine red blotch is an emerging disease that threatens vineyard productions in North America. Grapevine red blotch virus (GRBV, species Grablovirus vitis, genus Grablovirus, family Geminiviridae), the causal agent of red blotch disease, is transmitted by Spissistilus festinus (Hemiptera: Membracidae) [...] Read more.
Grapevine red blotch is an emerging disease that threatens vineyard productions in North America. Grapevine red blotch virus (GRBV, species Grablovirus vitis, genus Grablovirus, family Geminiviridae), the causal agent of red blotch disease, is transmitted by Spissistilus festinus (Hemiptera: Membracidae) in a circulative, non-propagative mode. To gain new insight into GRBV-S. festinus interactions, we delved into vertical transmission and documented a lack of transovarial transmission. In addition, we investigated S. festinus sex differences in the horizontal transmission of GRBV by creating small arenas with 30 detached trifoliates of common snap bean, an experimental host of GRBV, and a preferred feeding host of S. festinus. Tracking the movement of viruliferous males, females, or a combination of the two sexes over two weeks in replicated experiments demonstrated that male S. festinus dispersed more than females with specimens of both sexes predominantly grouping together on trifoliates spatially surrounding the trifoliate onto which they were released. These behaviors resulted in a greater rate of GRBV transmission by S. festinus males (17%, 20 of 120) than females (4%, 5 of 120) or mixed-sex cohorts (9%, 17 of 180). In arenas with aviruliferous S. festinus and one (single) or four (hotspot) GRBV-infected trifoliates out of 30 total trifoliates, a higher GRBV transmission rate by males was confirmed in both single infection (50%, 30 of 60) and hotspot infection (83%, 50 of 60) arenas than by females in single infection (35%, 21 of 60) and hotspot infection (67%, 40 of 60) arenas. These findings highlighted sex-associated differences in the transmission of GRBV by S. festinus and a positive correlation between the initial virus prevalence and the rate of transmission. Finally, the secondary spread of GRBV resulted primarily from S. festinus dispersal by walking or jumping. Together, these unique GRBV transmission features support the need to characterize dispersal behaviors of S. festinus in vineyard ecosystems. Full article
(This article belongs to the Special Issue Plant–Insect Vector–Pathogen Interactions)
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<p>Schematic representation of the transovarial transmission assays with (1) grapevine red blotch virus (GRBV) inoculation of snap bean plants, (2) <span class="html-italic">Spissistilus festinus</span> from the colony being exposed to GRBV inoculated snap bean plants as associated with three treatments, (3) three treatments and 1–2 week acquisition access period, (4) the mixing and mating of males and females on alfalfa through the emergence of progeny, (5) the release of 1st instar through adult progeny on healthy, detached snap bean trifoliates, (6) testing of plants and insects for GRBV using multiplex PCR and qPCR. Recipient tissues were collected from detached chambers for GRBV testing and replaced at every molt. The artwork was produced using the program BioRender (Toronto, ON, Canada).</p>
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<p>Schematic representation of the <span class="html-italic">Spissistilus festinus</span> dispersal experiments on detached snap bean trifoliates with (1) grapevine rep blotch virus (GRBV) inoculation of snap bean plants, (2) <span class="html-italic">S. festinus</span> from the colony being exposed to GRBV inoculated beans, (3) the acquisition access period, (4) the gut clearing of <span class="html-italic">S. festinus</span> on alfalfa plantlets to test for acquisition, (5) behavior and movement tracking in separate arenas, and (6) testing of plants and insects for GRBV using multiplex PCR. The artwork was produced using the program BioRender (Toronto, ON, Canada).</p>
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<p>Schematic representation of transmission assays with grapevine red blotch virus (GRBV)-infected snap bean trifoliates and aviruliferous male and female <span class="html-italic">Spissistilus festinus</span> with (1) GRBV inoculation of snap bean trifoliates, (2) <span class="html-italic">S. festinus</span> from the colony released in each arena, (3) arenas where <span class="html-italic">S. festinus</span> was placed on a single trifoliate (red circle) with one red trifoliate (single infection) or (4) where <span class="html-italic">S. festinus</span> was placed on a single (red circle) of four red trifoliate (hot spot infection), and (5) testing of plants and insects for GRBV using multiplex PCR. The artwork was produced using the program BioRender (Toronto, ON, Canada).</p>
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<p>The cumulative distribution of <span class="html-italic">Spissistilus festinus</span> across 30 snap bean trifoliates in arenas with 10 males or 10 females, in the morning or afternoon, over two weeks, from four experimental replicates. The counts of <span class="html-italic">S. festinus</span> per trifoliate were derived from the total counts across all four replicates per time point.</p>
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<p>The cumulative distribution of <span class="html-italic">Spissistilus festinus</span> across 30 snap bean trifoliates in arenas with 10 males, 10 females, or mixed males (<span class="html-italic">n</span> = 5) and females (<span class="html-italic">n</span> = 5) over two weeks, from four experimental replicates (1–4). The darker the circle, the closer the column distance to the release point, and the larger the circle, the greater the total number of <span class="html-italic">S. festinus</span> present on that trifoliate over time. The counts of <span class="html-italic">S. festinus</span> per trifoliate were derived from a cumulative average of the morning and afternoon counts.</p>
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<p>The different locations of girdling behaviors observed by male and female <span class="html-italic">Spissistilus festinus</span> in arenas with both sexes present. Male girdling behaviors were often observed around the time of mating (<b>A</b>) and would result in vascular cut-off along the petiole leaf junction (<b>B</b>). Female girdling behaviors were often observed around the time of oviposition and were right above the oviposition sites (<b>C</b>,<b>D</b>). This behavior is characteristic of mothering and could be enacted to encourage proper feeding of nymphs upon emergence (<b>D</b>). Red arrows indicate girdled snap bean tissue.</p>
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<p>Transmission of grapevine red blotch virus (GRBV) from bean trifoliate to bean trifoliate by viruliferous male (<span class="html-italic">n</span> = 10), female (<span class="html-italic">n</span> = 10), or a mix of male (<span class="html-italic">n</span> = 5) and female (<span class="html-italic">n</span> = 5) <span class="html-italic">Spissistilus festinus</span>, over two weeks, across four replicated arenas. <span class="html-italic">S. festinus</span> were deposited on a single trifoliate (dotted circle) located at one edge of each arena. Data show GRBV-infected trifoliates (red dot) and noninfected trifoliates (blue dots), as determined by PCR.</p>
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<p>Transmission of grapevine red blotch virus (GRBV) from snap bean trifoliate to snap bean trifoliate by aviruliferous male (second and fourth row arenas) or female (first and third row arenas) <span class="html-italic">Spissistilus festinus</span>, over two weeks, in arenas with single (first and second row arenas) or four (hotspot) (third and fourth row arenas) GRBV-infected snap bean trifoliates (red triangle). Insects were deposited on a single trifoliate (dotted circle) located at one edge of each arena. Data show GRBV-infected trifoliates (red dot) and noninfected trifoliates (blue dots), as determined by PCR.</p>
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<p>Quantification of grapevine red blotch virus in female and male <span class="html-italic">Spissistilus festinus</span> used in single and hot spot infection assays by qPCR. Data show the ΔΔCt expression fold change values (2<sup>(−ΔΔCt)</sup>). The (x) represents the mean expression fold change. Error bars indicate standard error of the mean. Lowercase lettering indicating insignificant differences between 2<sup>(−ΔΔCt)</sup> values, as determined by Tukey’s honestly significant difference test (<span class="html-italic">p</span> &lt; 0.05), are shown above standard error bars.</p>
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10 pages, 761 KiB  
Article
A Prospective Comparison of Subjective Symptoms and Neurophysiological Findings in the Assessment of Neuropathy in Cancer Patients
by Vera Elisabeth Adreana Kleinveld, Miriam Emmelheinz, Daniel Egle, Magdalena Ritter, Wolfgang N. Löscher, Christian Marth, Corinne Gosewina Cornelia Horlings, Julia Wanschitz and Christine Brunner
Diagnostics 2024, 14(24), 2861; https://doi.org/10.3390/diagnostics14242861 - 19 Dec 2024
Viewed by 463
Abstract
Objectives: Neurotoxic effects causing peripheral nerve damage have been reported for several chemotherapy agents. There is no established and standardized method to assess the presence of chemotherapy-induced peripheral neuropathy (CIPN). We compared patient-reported CIPN symptoms to neurophysiological findings and neurological assessments in patients [...] Read more.
Objectives: Neurotoxic effects causing peripheral nerve damage have been reported for several chemotherapy agents. There is no established and standardized method to assess the presence of chemotherapy-induced peripheral neuropathy (CIPN). We compared patient-reported CIPN symptoms to neurophysiological findings and neurological assessments in patients receiving taxane-based chemotherapy. Methods: Patients scheduled to receive taxane-based chemotherapy for the treatment of gynecologic cancer were included and prospectively followed for up to 9 months after chemotherapy discontinuation, between May 2020 and January 2023. Patient-reported symptoms, using the EORTC-QLQ-CIPN20 questionnaire, and nerve conduction studies (NCSs) were performed at baseline, halfway through the treatment cycle, at the end of the treatment, 3 months after treatment, and 6–9 months after treatment. Results: A total of 149 patients were included. Overall, 47.0% of patients reported symptoms compatible with CIPN at any of the follow-ups. Subjective symptoms did not correlate with nerve conduction studies. SNAP amplitudes at baseline were lower in patients who developed CIPN compared to the group without CIPN. Conclusions: The overall diagnostic accuracy of electrophysiological parameters as a marker for CIPN was low. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>Longitudinal changes in sensory nerve action potentials and sensory nerve conduction velocities in patients with and without CIPN symptoms at baseline and follow-up. CIPN+: patients that reported an EORTC-QLQ-CIPN20 ≥30 at specific follow-up. Data from the follow-up visit with the highest EORTC-QLQ-CIPN20 score were used. Abbreviations: CIPN, chemotherapy-induced polyneuropathy; EORTC-QLQ-CIPN-20, European Organization for Research and Treatment of Cancer Chemotherapy-Induced Peripheral Neuropathy 20; NCV, nerve conduction velocity; SNAP, sensory nerve action potential.</p>
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<p>Longitudinal changes in motor nerve action potentials and distal motor latency in patients with and without CIPN symptoms at specific follow-ups. CIPN+: patients that reported an EORTC-QLQ-CIPN20 score ≥30 at specific follow-up. Abbreviations: CIPN, chemotherapy-induced polyneuropathy; CMAP, compound muscle action potential; DML, distal motor latency; EORTC-QLQ-CIPN-20, European Organization for Research and Treatment of Cancer Chemotherapy-Induced Peripheral Neuropathy 20.</p>
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12 pages, 3140 KiB  
Article
Age-Stage, Two-Sex Life Tables of Megalurothrips usitatus (Bagnall) and Frankliniella intonsa (Trybom) on Different Bean Pods Under Laboratory Conditions: Implications for Their Competitive Interactions
by Mengni Li, Zhengke Peng, Chaosong Guo, Yong Xiao, Fei Yin, Haibin Yuan, Zhenyu Li and Myron P. Zalucki
Insects 2024, 15(12), 1003; https://doi.org/10.3390/insects15121003 - 18 Dec 2024
Viewed by 712
Abstract
As two major pests of cowpea in South China, bean flower thrips [Megalurothrips usitatus (Bagnall)] and flower thrips [Frankliniella intonsa (Trybom)] always occur on the same plant. In this study, the two-sex life table parameters of these two species were investigated [...] Read more.
As two major pests of cowpea in South China, bean flower thrips [Megalurothrips usitatus (Bagnall)] and flower thrips [Frankliniella intonsa (Trybom)] always occur on the same plant. In this study, the two-sex life table parameters of these two species were investigated on three bean pods: cowpea (Vigna unguiculata L. var. Chunqiu Wujiadou), snap bean (Phaseolus vulgaris L. var. Yonglong 3), and green bean (Phaseolus vulgaris L. var. Linghangzhe) using standard cut bean protocols. Longevity of female adult M. usitatus showed no significant difference on cowpea and snap bean, but was shortest on green bean, with the highest fecundity on snap bean, followed by cowpea and green bean. Longevity and fecundity of female adult F. intonsa were both highest on cowpea, followed by snap bean and green bean. On snap bean, the population parameters (R0, GRR, T) of M. usitatus were higher than F. intonsa, whereas r and λ were not different, suggesting that M. usitatus were more competitive on snap bean. On cowpea, the population parameters (R0, GRR, r, λ) of F. intonsa were higher than M. usitatus, suggesting a competitive advantage of F. intonsa on cowpea. To better mimic field conditions, we investigated the survival and fecundity of adult M. usitatus under two distinct scenarios: when they could feed directly on cut surfaces of cowpeas (standard lab protocol), and when they could not. Adult survival of M. usitatus is not significantly influenced by whether or not they fed directly on cut surfaces of cowpeas. However, a notable decrease in fecundity was observed in M. usitatus that fed on surface-covered cut pods. This suggested that direct feeding on cut surfaces of cowpea did have an impact on thrips’ fecundity, offering fresh perspectives for future research into the growth and development of thrips in a laboratory. Our study suggests that experiments involving cut surfaces may be misleading, and further investigations are ongoing to address these concerns. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Age-stage-specific survival rate (sxj) of <span class="html-italic">Megalurothrips usitatus</span> and <span class="html-italic">Frankliniella intonsa</span> on three bean pods: (<b>a</b>) <span class="html-italic">M. usitatus</span> on cowpea, (<b>b</b>) <span class="html-italic">M. usitatus</span> on snap bean, (<b>c</b>) <span class="html-italic">M. usitatus</span> on green bean, (<b>d</b>) <span class="html-italic">F. intonsa</span> on cowpea, (<b>e</b>) <span class="html-italic">F. intonsa</span> on snap bean, and (<b>f</b>) <span class="html-italic">F. intonsa</span> on green bean.</p>
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<p>The age-specific survival rate (<span class="html-italic">l<sub>x</sub></span>) and fecundity (<span class="html-italic">f<sub>x</sub></span><sub>5</sub>, <span class="html-italic">m<sub>x</sub></span>, <span class="html-italic">l<sub>x</sub>m<sub>x</sub></span>) of <span class="html-italic">Megalurothrips usitatus</span> and <span class="html-italic">Frankliniella intonsa</span> on three bean pods: (<b>a</b>) <span class="html-italic">M. usitatus</span> on cowpea, (<b>b</b>) <span class="html-italic">M. usitatus</span> on snap bean, (<b>c</b>) <span class="html-italic">M. usitatus</span> on green bean, (<b>d</b>) <span class="html-italic">F. intonsa</span> on cowpea, (<b>e</b>) <span class="html-italic">F. intonsa</span> on snap bean, and (<b>f</b>) <span class="html-italic">F. intonsa</span> on green bean. Note: <span class="html-italic">f<sub>xj</sub></span> is the age-stage-specific fecundity. Here, <span class="html-italic">j</span> represents the fifth stage (egg, larvae, prepupa, pupa, female) of both species of thrips, the female stage.</p>
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<p>Age-stage-specific life expectancy (<span class="html-italic">e<sub>xj</sub></span>) of <span class="html-italic">Megalurothrips usitatus</span> and <span class="html-italic">Frankliniella intonsa</span> on three bean pods: (<b>a</b>) <span class="html-italic">M. usitatus</span> on cowpea, (<b>b</b>) <span class="html-italic">M. usitatus</span> on snap bean, (<b>c</b>) <span class="html-italic">M. usitatus</span> on green bean, (<b>d</b>) <span class="html-italic">F. intonsa</span> on cowpea, (<b>e</b>) <span class="html-italic">F. intonsa</span> on snap bean, and (<b>f</b>) <span class="html-italic">F. intonsa</span> on green bean.</p>
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<p>Age-stage-specific reproductive value (<span class="html-italic">v<sub>xj</sub></span>) of <span class="html-italic">Megalurothrips usitatus</span> and <span class="html-italic">Frankliniella intonsa</span> on three bean pods: (<b>a</b>) <span class="html-italic">M. usitatus</span> on cowpea, (<b>b</b>) <span class="html-italic">M. usitatus</span> on snap bean, (<b>c</b>) <span class="html-italic">M. usitatus</span> on green bean, (<b>d</b>) <span class="html-italic">F. intonsa</span> on cowpea, (<b>e</b>) <span class="html-italic">F. intonsa</span> on snap bean, and (<b>f</b>) <span class="html-italic">F. intonsa</span> on green bean.</p>
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<p>Survival and fecundity of <span class="html-italic">Megalurothrips usitatus</span> on different treatments of cowpea segments. (<b>a</b>) Kaplan-Meier of <span class="html-italic">M. usitatus</span> on different treated cowpea segments. (<b>b</b>) Fecundity of <span class="html-italic">M. usitatus</span> on different treatments of cowpea segments, MC: middle-covered cowpea segments, BC: both ends-covered cowpea segments. (<b>c1</b>,<b>c2</b>) Fecundity and survival of adult females of <span class="html-italic">M. usitatus</span> on different types of cowpea segments. (<b>c1</b>): MC, (<b>c2</b>): BC. Differences between means ± SEM in (<b>a</b>,<b>b</b>) were analyzed using two-tailed unpaired <span class="html-italic">t</span>-tests; ns, not significant.</p>
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21 pages, 4182 KiB  
Article
Impact of Omega-3 on Endocannabinoid System Expression and Function, Enhancing Cognition and Behavior in Male Mice
by Maitane Serrano, Miquel Saumell-Esnaola, Garazi Ocerin, Gontzal García del Caño, Nagore Puente, Joan Sallés, Fernando Rodríguez de Fonseca, Marta Rodríguez-Arias, Inmaculada Gerrikagoitia and Pedro Grandes
Nutrients 2024, 16(24), 4344; https://doi.org/10.3390/nu16244344 - 17 Dec 2024
Viewed by 810
Abstract
Background/Objectives: Omega-3 long-chain polyunsaturated fatty acids (PUFAs) support brain cell membrane integrity and help mitigate synaptic plasticity deficits. The endocannabinoid system (ECS) is integral to synaptic plasticity and regulates various brain functions. While PUFAs influence the ECS, the effects of omega-3 on [...] Read more.
Background/Objectives: Omega-3 long-chain polyunsaturated fatty acids (PUFAs) support brain cell membrane integrity and help mitigate synaptic plasticity deficits. The endocannabinoid system (ECS) is integral to synaptic plasticity and regulates various brain functions. While PUFAs influence the ECS, the effects of omega-3 on the ECS, cognition, and behavior in a healthy brain remain unclear. Methods and Results: Here, we demonstrate that hippocampal synaptosomes from male mice fed an omega-3-rich diet exhibit increased levels of cannabinoid CB1 receptors (~30%), phospholipase C β1 (PLCβ1, ~30%), monoacylglycerol lipase (MAGL, ~30%), and cannabinoid receptor-interacting protein 1a (Crip1a, ~60%). Conversely, these synaptosomes show decreased levels of diacylglycerol lipase α (DAGLα, ~40%), synaptosomal-associated protein 25kDa (SNAP-25, ~30%), and postsynaptic density protein 95 (PSD-95, ~40%). Omega-3 intake also reduces Gαo and Gαi3 levels, though receptor-stimulated [35S]GTPγS binding remains unaffected. Stimulation of the medial perforant path (MPP) induced long-term potentiation (LTP) in omega-3-fed mice. This LTP was dependent on group I metabotropic glutamate receptors (mGluR), 2 arachidonoylglycerol (2-AG), CB1 receptors, N-type Ca2+ channels, and actin filaments. Behaviorally, omega-3-fed mice displayed reduced exploratory behavior and significantly improved object discrimination in the novel object recognition test (NORT). They also spent more time in open arms and exhibited reduced freezing time in the elevated plus maze (EPM), indicative of reduced anxiety-like behavior. Conclusions: Our findings suggest that omega-3 leverages the ECS to enhance brain function under normal conditions. Full article
(This article belongs to the Special Issue Sensory Nutrition and Health Impact on Metabolic and Brain Disorders)
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<p>Dietary calorie consumption and omega-3 (<span class="html-italic">n</span>-3), EPA, and DHA intake. (<b>A</b>) Calorie intake (kcal/day) during young adulthood (PND 56–71). (<b>B</b>) Total <span class="html-italic">n</span>-3 intake (mg/kg/day). (<b>C</b>) EPA + DHA intake (mg/kg/day). Control group, n = 12; <span class="html-italic">n</span>-3 group, n = 12. Data are presented as mean ± SEM; Mann–Whitney test; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>CB1 and Crip1a protein expression in hippocampal whole homogenates and synaptosomes. (<b>A</b>,<b>B</b>) Representative Western blots of CB1 and Crip1a expression carried out by immunoblotting increasing amounts of total protein from hippocampal whole homogenates (wH) or synaptosomes (Syn). The total protein loading was checked by Coomassie Brilliant Blue gel staining. Protein migration was consistent with their expected molecular mass (CB1, 52.8 kDa; Crip1a, 18.6 kDa). The molecular weights depicted correspond to the signal of the standard markers. (<b>C</b>) CB1 and Crip1a expression in whole homogenates. (<b>D</b>) CB1 and Crip1a expression in synaptosomes. Data are presented as mean ± SEM (see <a href="#nutrients-16-04344-t004" class="html-table">Table 4</a>), with squares representing individual experimental values, using a synaptosomal or whole homogenate fraction obtained from two fractionation procedures and including hippocampal pools from at least six adult mice per fractionation procedure. Statistical analysis: paired ratio <span class="html-italic">t</span>-test; ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Relative expression of Gαi/o subunits, main 2-AG-related enzymes, and synaptic proteins in hippocampal synaptosomes (Syn). (<b>A</b>) Representative Western blots carried out by immunoblotting increasing amounts of hippocampal synaptosomes. The total protein loading was checked by Coomassie Brilliant Blue gel staining. Protein migration was consistent with their expected molecular mass (PLCβ1, 138.3 kDa; DAGLα, 115.3 kDa; DAGLβ, 73.9 kDa; MAGL, 33.3 kDa; Gαo 40.1 kDa; Gαi1, 40.5 kDa; Gαi2, 40.4 kDa; Gαi3, 40.5 kDa; PSD-95, 80.4 kDa; SNAP-25, 23.3 kDa). The molecular weights depicted correspond to the signal of the standard markers. (<b>B</b>) Gαo, Gαi1, Gαi2, and Gαi3 expression in synaptosomes. (<b>C</b>) PLCβ1, DAGLα, DAGLβ, and MAGL expression in synaptosomes. (<b>D</b>) SNAP-25 and PSD-95 expression in synaptosomes. Data are presented as mean ± SEM (see <a href="#nutrients-16-04344-t004" class="html-table">Table 4</a>) with squares representing individual experimental values, using synaptosome membranes obtained from two fractionation procedures and including hippocampal pools from at least six adult mice per fractionation procedure. Statistical analysis: Paired ratio <span class="html-italic">t</span>-test; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>CB1 receptor coupling to Gαi/o proteins in hippocampal synaptosomes from control and omega-3 (<span class="html-italic">n</span>-3) mice. Concentration–response curves for CP 55,940-stimulated [<sup>35</sup>S]GTPγS binding. Curves represent mean ± SEM from triplicate data points of three independent experiments. Emax values are expressed as % specific [<sup>35</sup>S]GTPγS bound of basal. The inset shows the ratio of Emax to CB1 receptor expression values (determined by Western blot).</p>
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<p>Omega-3 (<span class="html-italic">n</span>-3)-enriched diet induces CB1-mediated excitatory synaptic transmission and MPP-LTP. (<b>A</b>) Input–output curves: mean fEPSP areas (mV/ms) plotted against stimulation intensities in hippocampal slices from control (gray squares, n = 8) and <span class="html-italic">n</span>-3 (black circles, n = 14) mice. Data are mean ± SEM, analyzed by unpaired <span class="html-italic">t</span>-test. (<b>B</b>) Time course plot in control mice: WIN-2 (5 μM) (black and white circles) decreases fEPSP, while WIN-2 (5 μM) + AM251 (4 μM) (white circles) has no effect. Data are mean ± SEM; unpaired <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05 vs. baseline. (<b>C</b>) In <span class="html-italic">n</span>-3 mice, WIN-2 (5 μM) (gray squares) increases fEPSP, whereas WIN-2 (5 μM) + AM251 (4 μM) (black squares) shows no effect. Data are mean ± SEM; unpaired <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05 vs. baseline. (<b>D</b>) Summary bar graph for control + WIN-2 (5 μM), <span class="html-italic">n</span>-3 + WIN-2 (5 μM), control + WIN-2 (5 μM) + AM251 (4 μM), and <span class="html-italic">n</span>-3 + WIN-2 (5 μM) + AM251 (4 μM). Numbers within the bars are individual experiments; data are mean ± SEM, analyzed by one-way ANOVA with Dunn’s multiple comparisons test, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001. (<b>E</b>) <b>Top</b>: averaged fEPSP traces showing the effect of LFS (10 min, 10 Hz) over the last 10 min. LFS induces MPP-LTD in control mice (gray line) and MPP-LTP in <span class="html-italic">n</span>-3 mice (gray line). <b>Bottom</b>: LFS triggers MPP-LTD in control (white circles) and MPP-LTP in <span class="html-italic">n</span>-3 (gray squares). Data are mean ± SEM; Student’s <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 vs. baseline. (<b>F</b>) Summary bar graph of MPP-LTD and MPP-LTP. Numbers within the bars are individual experiments; data are mean ± SEM; Student’s <span class="html-italic">t</span>-test, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>MPP-LTP in omega-3 (<span class="html-italic">n</span>-3) mice is mediated by CB1, group I mGluRs, and 2-AG. Hippocampal slices were obtained from n = 14 mice. (<b>A</b>–<b>J</b>) Effects of pharmacological inhibitors on MPP-LTP in <span class="html-italic">n</span>-3 mice, shown with black triangles: (<b>A</b>) AM251 (4 µM): paired <span class="html-italic">t</span>-test, ** <span class="html-italic">p</span> &lt; 0.01 vs. baseline. (<b>B</b>) AMG9810 (3 µM): Wilcoxon test, * <span class="html-italic">p</span> &lt; 0.05 vs. baseline. (<b>C</b>) MPEP (10 µM): paired <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05 vs. baseline. (<b>D</b>) THL (10 µM): paired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>E</b>) RHC 80,287 (100 µM): paired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>F</b>) D-AP5 (50 µM): Wilcoxon test, * <span class="html-italic">p</span> &lt; 0.05 vs. baseline. (<b>G</b>) LAT-A (500 µM): paired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>H</b>) ω-Conotoxin GVIA (1 µM): paired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>I</b>) CPCCoEt (50 µM): paired <span class="html-italic">t</span>-test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>J</b>) LEI401 (10 µM): Wilcoxon test, <span class="html-italic">p</span> &gt; 0.05 vs. baseline. (<b>K</b>) Summary bar graph displaying results for: <span class="html-italic">n</span>-3, <span class="html-italic">n</span>-3 + AM251 (4 µM), <span class="html-italic">n</span>-3 + AMG9810 (3 µM), <span class="html-italic">n</span>-3 + MPEP (10 µM), <span class="html-italic">n</span>-3 + THL (10 µM), <span class="html-italic">n</span>-3 + RHC 80,287 (100 µM), <span class="html-italic">n</span>-3 + D-AP5 (50 µM), <span class="html-italic">n</span>-3 + LAT-A (500 µM), <span class="html-italic">n</span>-3 + ω-Conotoxin GVIA (1 µM), <span class="html-italic">n</span>-3 + CPCCoEt (50 µM), and <span class="html-italic">n</span>-3 + LEI401 (10 µM). Numbers within the bars indicate individual experiments; data are expressed as mean ± SEM. Statistical analysis: Dunn’s test; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Novel object recognition test. (<b>A</b>) Total exploration time (s) spent with objects on the acquisition day (unpaired <span class="html-italic">t</span>-test). (<b>B</b>) Total exploration time (s) spent with objects on the test day (Mann–Whitney test). (<b>C</b>) Discrimination index on the test day (unpaired <span class="html-italic">t</span>-test). Control group, n = 18; <span class="html-italic">n</span>-3 group, n = 12. Black circles and gray squares represent individual values. Data are presented as mean ± SEM; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Anxiety- like behavior analysis using the OF, EPM, and LDB tests. (<b>A</b>) Total time (s) spent in the center zone of the open field (OF) maze (unpaired <span class="html-italic">t</span>-test). (<b>B</b>) Time (s) spent in the center zone before first entry into the safe zone of the OF (Mann–Whitney test). (<b>C</b>) Distance traveled (m) in the OF (unpaired <span class="html-italic">t</span>-test). (<b>D</b>) Percentage of time (%) spent in the open arms of the elevated plus maze (EPM) (unpaired <span class="html-italic">t</span>-test). (<b>E</b>) Freezing time (s) during the EPM test (Mann–Whitney test). (<b>F</b>) Distance traveled (m) in the EPM (unpaired <span class="html-italic">t</span>-test). (<b>G</b>) Total time (s) spent in the light zone of the light/dark box (LDB) (unpaired <span class="html-italic">t</span>-test). (<b>H</b>) Number of entries into the light zone of the LDB (Mann–Whitney test). (<b>I</b>) Distance traveled (m) in the LDB (unpaired <span class="html-italic">t</span>-test). Control group, n = 12; <span class="html-italic">n</span>-3 group, n = 12. Black circles and gray squares represent individual values. Data are presented as mean ± SEM; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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9 pages, 764 KiB  
Article
Motor Competence in Autistic Children with Attention-Deficit Hyperactivity Disorder
by Jadiane Dionisio, Cristina dos Santos Cardoso de Sá, Susana Lúcio, Gabriela Neves de Almeida and Rita Cordovil
Children 2024, 11(12), 1518; https://doi.org/10.3390/children11121518 - 14 Dec 2024
Viewed by 559
Abstract
Background/Objectives: Children with autism exhibit deficits in fundamental motor skills, which are intensified when associated with attention-deficit/hyperactivity disorder (ADHD). Objective: To correlate motor competence in children with autism, autism levels according to the CARS scale, and the association with ADHD. Methods: This cross-sectional [...] Read more.
Background/Objectives: Children with autism exhibit deficits in fundamental motor skills, which are intensified when associated with attention-deficit/hyperactivity disorder (ADHD). Objective: To correlate motor competence in children with autism, autism levels according to the CARS scale, and the association with ADHD. Methods: This cross-sectional study assessed motor competence using the Motor Competence Assessment (MCA), the severity of Autism Spectrum Disorder by Childhood Autism Rating Scale (CARS), and the presence of clinical signs for ADHD using Swanson, Nolan, and Pelham (SNAP-IV) questionnaire. A total of 68 children were recruited; however, 23 were not included due to non-acceptance and/or were excluded because of associated pathologies, high autism severity. Consequently, 45 children (11 with ADHD) between the ages of 5 and 11 (Mean: 8.15; ±1.75) with 83.72% being male. Results: Multiple linear regression revealed a significant inverse correlation between MCA scores and raw CARS data (p = 0.01), indicating that greater autism severity is associated with lower motor competence. The correlation was also observed in CARS classifications, with higher autism severity corresponding to lower motor percentiles (p = 0.05). However, the correlation between the presence of ADHD and motor competence in children with ASD did not reach significance. Overall, a significant correlation was observed (p = 0.006) when analyzing all variables (CARS scores, SNAP scores, and CARS classification). Conclusion: Therefore, it is believed that children with autism exhibit deficits in functional motor skills, with severity impacting motor competence. The findings underscore the need for systematic motor skill assessments in children with autism, emphasizing the importance of monitoring and intervention in this aspect of their development. Full article
(This article belongs to the Special Issue Motor Development in Children and Adolescence)
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<p>Graphical representation of the correlation between MCA percentile and raw scores from the CARS Scale.</p>
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<p>Graphical representation of the correlation between MCA percentile and ASD severity classification, with 1-mild, 2-moderate, 3-severe.</p>
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<p>Graphical representation of the correlation between MCA percentile and the presence of ADHD in children with ASD, with 1-children without ADHD; 2-children with ADHD, 3-children with inattention, and 4-children with hyperactivity.</p>
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15 pages, 16510 KiB  
Article
Mosaicking and Correction Method of Gaofen-3 ScanSAR Images in Coastal Areas with Subswath Overlap Range Constraints
by Jiajun Wang, Guowang Jin, Xin Xiong, Jiahao Li, Hao Ye and He Yang
J. Mar. Sci. Eng. 2024, 12(12), 2277; https://doi.org/10.3390/jmse12122277 - 11 Dec 2024
Viewed by 428
Abstract
The ScanSAR mode image obtained by the Gaofen-3 (GF-3) satellite has an imaging width of up to 130–500 km, which is of great significance in monitoring oceanography, meteorology, water conservancy, and transportation. To address the issues of subswath misalignment and the inability to [...] Read more.
The ScanSAR mode image obtained by the Gaofen-3 (GF-3) satellite has an imaging width of up to 130–500 km, which is of great significance in monitoring oceanography, meteorology, water conservancy, and transportation. To address the issues of subswath misalignment and the inability to correct in the processing of GF-3 ScanSAR images in coastal areas using software such as PIE, ENVI, and SNAP, a method for mosaicking and correcting GF-3 ScanSAR images with subswaths that overlap within specified range constraints is proposed. This method involves correlating the coefficients of each subswath thumbnail image in order to determine the extent of the overlap range. Given that the matching points are constrained to the overlap between subswaths, the normalized cross-correlation (NCC) matching algorithm is utilized to calculate the matching points between subswaths. Subsequently, the random sampling consistency (RANSAC) algorithm is employed to eliminate the mismatching points. Subsequently, the subswaths should be mosaicked together with the stitching translation of subswaths, based on the coordinates of the matching points. The image brightness correction coefficient is calculated based on the average grayscale value of pixels in the overlapping region. This is performed in order to correct the grayscale values of adjacent subswaths and thereby reducing the brightness difference at the junction of subswaths. The entire ScanSAR slant range image is produced. By employing the Range–Doppler model for indirect orthorectification, corrected images with geographic information are generated. The experiment utilized three coastal GF-3 ScanSAR images for mosaicking and correction, and the results were contrasted with those attained through PIE software V7.0 processing. This was conducted to substantiate the efficacy and precision of the methodology for mosaicking and correcting coastal GF-3 ScanSAR images. Full article
(This article belongs to the Special Issue Ocean Observations)
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<p>Workflow of this study.</p>
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<p>Mapping relationship between image-matching windows.</p>
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<p>Mosaic relationship between subswaths.</p>
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<p>Distribution diagrams of image connection points obtained by the method presented in this paper: (<b>a</b>) the distribution diagram of image connection points in image 1; (<b>b</b>) the distribution diagram of image connection points in image 2; (<b>c</b>) the distribution diagram of image connection points in image 3.</p>
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<p>Distribution diagrams of wrong image connection points obtained by the method presented in study [<a href="#B17-jmse-12-02277" class="html-bibr">17</a>]: (<b>a</b>) the distribution diagram of image connection points in image 1; (<b>b</b>) the distribution diagram of image connection points in image 2; (<b>c</b>) the distribution diagram of image connection points in image 3.</p>
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<p>The result of PIE software processing of the mosaicking dislocation: (<b>a</b>) mosaic misalignment in image 1; (<b>b</b>) mosaic misalignment in image 1; (<b>c</b>) mosaic misalignment in image 2; (<b>d</b>) mosaic misalignment in image 2; (<b>e</b>) mosaic misalignment in image 2; (<b>f</b>) mosaic misalignment in image 3.</p>
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<p>Area 1 image-mosaicking results: (<b>a</b>) the results of the method presented in this paper before brightness correction; (<b>b</b>) the results of the method presented in this paper after brightness correction; (<b>c</b>) the results of PIE software, and the differences in image widths are caused by its mosaicking errors; (<b>d</b>) the results of the method presented in study [<a href="#B17-jmse-12-02277" class="html-bibr">17</a>], and the differences in image widths are caused by its mosaicking errors.</p>
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<p>Area 2 image-mosaicking results: (<b>a</b>) the results of the method presented in this paper before brightness correction; (<b>b</b>) the results of the method presented in this paper after brightness correction; (<b>c</b>) the results of PIE software, and the differences in image widths are caused by its mosaicking errors; (<b>d</b>) the results of the method presented in study [<a href="#B17-jmse-12-02277" class="html-bibr">17</a>], and the differences in image widths are caused by its mosaicking errors.</p>
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<p>Area 3 image-mosaicking results: (<b>a</b>) the results of the method presented in this paper before brightness correction; (<b>b</b>) the results of the method presented in this paper after brightness correction; (<b>c</b>) the results of PIE software, and the differences in image widths are caused by its mosaicking errors; (<b>d</b>) the results of the method presented in study [<a href="#B17-jmse-12-02277" class="html-bibr">17</a>], and the differences in image widths are caused by its mosaicking errors.</p>
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<p>Image correction results of the method presented in this paper: (<b>a</b>) image 1 correction result; (<b>b</b>) image 2 correction result; (<b>c</b>) image 3 correction result.</p>
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<p>The corrected subswath image obtained by the RPC correcting.</p>
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<p>Result with incorrect rotations.</p>
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11 pages, 986 KiB  
Article
The Potential for Lifestyle Intervention Among Patients Undergoing Transurethral Resection of Bladder Tumour Based on Patient Needs Including Smoking and Other Risky Lifestyle Factors: A Cross-Sectional Study
by Line Noes Lydom, Susanne Vahr Lauridsen, Ulla Nordström Joensen and Hanne Tønnesen
Int. J. Environ. Res. Public Health 2024, 21(12), 1633; https://doi.org/10.3390/ijerph21121633 - 8 Dec 2024
Viewed by 613
Abstract
Bladder cancer is the tenth most common cancer worldwide, with non-muscle invasive bladder cancer (NMIBC) accounting for 75% of cases. Transurethral resection of bladder tumours (TURBT) is the standard treatment, but it is associated with significant risks of complications and recurrence. Risky lifestyle [...] Read more.
Bladder cancer is the tenth most common cancer worldwide, with non-muscle invasive bladder cancer (NMIBC) accounting for 75% of cases. Transurethral resection of bladder tumours (TURBT) is the standard treatment, but it is associated with significant risks of complications and recurrence. Risky lifestyle factors, including smoking, malnutrition, obesity, risky alcohol use, and physical inactivity (collectively termed SNAP factors), may worsen surgical outcomes and increase cancer recurrence. Prehabilitation programmes targeting these modifiable risk factors could improve patient outcomes. This cross-sectional study assessed 100 TURBT patients at a Danish university hospital to determine the prevalence of SNAP factors and the potential for lifestyle interventions. Data were collected via structured interviews, and intervention scenarios were projected based on efficacy rates of 5–100%. In total, 58% of patients had at least one risky SNAP factor, with smoking (29%) being the most prevalent, followed by physical inactivity (19%) and risky alcohol use (18%). Obesity (7%) and malnutrition (8%) were less common. Seventeen percent had multiple SNAP factors. No significant demographic indicators were associated with the presence of SNAP factors. TURBT patients with NMIBC show a high prevalence of risky lifestyle factors, including smoking and obesity, with over half affected. Systematic screening and targeted interventions could significantly improve patient outcomes and long-term health. Full article
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<p>Patient flow. Abbreviations: SNAP: smoking, obesity, malnutrition, alcohol, and physical inactivity (collectively termed SNAP).</p>
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<p>Frequency of risky SNAP (smoking, malnutrition, obesity, alcohol and low physical activity) factors; (<b>a</b>) represents the prevalence of 0–5 SNAP factors, (<b>b</b>) represents the distribution of the SNAP factors either individually (dark blue) or in combination of two or more SNAP factors (light blue), e.g., for tobacco, 15 patients were smokers exclusively and 14 were smokers in combination with one or more co-existing SNAP factors.</p>
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<p>Hypothetical scenarios of potential results after smoking cessation and other SNAP interventions with different intervention effect scenarios for the study population.</p>
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12 pages, 1797 KiB  
Communication
Rapid Antibacterial Assessments for Plastic and Textile Materials Against Escherichia coli
by Anson M. Y. Luk, Adrian M. H. Luk, Jiachi Amber Chiou, Man-Yi Ho, Chi-Man Ngai and Chi-Wai Kan
Antibiotics 2024, 13(12), 1156; https://doi.org/10.3390/antibiotics13121156 - 2 Dec 2024
Viewed by 775
Abstract
Background: Standard test methods for evaluating the antibacterial performance of plastic (non-porous) and textile (porous) materials are accurate and reliable, but completing a standard assessment generally requires at least several days to a week. Well-trained and experienced technicians are also required to [...] Read more.
Background: Standard test methods for evaluating the antibacterial performance of plastic (non-porous) and textile (porous) materials are accurate and reliable, but completing a standard assessment generally requires at least several days to a week. Well-trained and experienced technicians are also required to conduct the standard tests consistently and analyse the samples and test results systemically. These costs are often not favourable for the performance assurance of antimicrobial products in industrial production, nor for meeting the fast-return demands in research and development of antimicrobial materials nowadays. Methods: In this study, “Rapid Tests” are developed to evaluate the antibacterial activities of plastic and textile materials. Results: The assessment results from Rapid Tests for plastics and textiles are highly correlated to those from the ISO 22196 and the AATCC Test Method 100, respectively, whereas the evaluation operation can be completed within one day. Based on bioluminescence technology, colony-forming units of E. coli from the inoculated specimens are determined via luminometry. Antibacterial efficacy of the treated plastic and textile samples can be examined effectively. Conclusions: By analysing antimicrobial artificial leather samples composed of hydrophilic polyurethane polymer using Rapid Tests for plastics and textiles, the applicability and scope of these tests were remarkedly recognised and verified. Full article
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<p>The photos of face and back sides of artificial leather samples (prepared with polyester textile face coated with polyurethane polymer), after the face sides were inoculated with 15 µL of <span class="html-italic">E. coli</span> solutions in 1:10<sup>6</sup> and 1:10<sup>8</sup> at 0, 2, and 5 min (The more obvious the watermark that appeared on the back side, the higher the permeability of the artificial leather sample).</p>
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