[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (28,051)

Search Parameters:
Keywords = feeding

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 3658 KiB  
Article
The Influence of Wind Speed on Pneumatic Conveying Characteristics of Solid Feed in Horizontal Pipe by Simulation and Experiment
by Chengming Wang, Shihui Jiao, Zhuoyao Wang, Pengfei Guo, Hao Ma, Baojun Li, Weiwei Zhang, Wei Lv, Xingyuan Fu, Shuaihao Wang, Chenkai Dong, Ge Guo and Hongyang Wang
Appl. Sci. 2025, 15(3), 1109; https://doi.org/10.3390/app15031109 (registering DOI) - 23 Jan 2025
Abstract
Pneumatic conveying technology is an efficient, energy-saving and environmentally friendly means of solid feed conveying. In the process of pneumatic conveying, wind speed has a decisive influence on conveying characteristics. Here, computational fluid dynamics coupled with a discrete element method simulation and experiment [...] Read more.
Pneumatic conveying technology is an efficient, energy-saving and environmentally friendly means of solid feed conveying. In the process of pneumatic conveying, wind speed has a decisive influence on conveying characteristics. Here, computational fluid dynamics coupled with a discrete element method simulation and experiment were combined, and the conveying wind speed was used as the experimental variable to study the conveying characteristics of the conveying material in the tube, such as particle distribution state, solid phase mass concentration, coupling force on solid feed, average speed and pressure drop of solid feed in the pipe. The results show that when the conveying wind speed increases from 18 m/s to 20.6 m/s, the solid feed changes from sedimentary flow to suspended flow, the particle accumulation gradually decreases and the conveying efficiency is significantly improved. The particle slug greatly reduces the collision and friction between the internal particles and the pipe and reduces the crushing rate to a certain extent. When the conveying wind speed is about 23.2 m/s, there are almost no trapped particles in the pipeline, which can achieve rapid feed delivery, and conveying efficiency is greatly improved. Therefore, this paper provides a good theoretical basis for improving conveying efficiency and reducing crushing rate in the process of pneumatic conveying. Full article
(This article belongs to the Section Fluid Science and Technology)
Show Figures

Figure 1

Figure 1
<p>Modeling of solid feed and pipeline. (<b>a</b>) Four different particle sizes of solid feed; (<b>b</b>) Pipeline hexahedral meshing.</p>
Full article ">Figure 2
<p>Distribution of solid particles at different wind speeds.</p>
Full article ">Figure 3
<p>Cloud image of particle mass distribution.</p>
Full article ">Figure 4
<p>Change rule of average velocity and pressure drop of solid feed under different wind speeds. (<b>a</b>) Change in average velocity of solid feed with time; (<b>b</b>) Change in pressure drop in tube with conveying wind speed.</p>
Full article ">Figure 5
<p>The relationship between particle coupling force and time.</p>
Full article ">Figure 6
<p>Solid feed with different particle sizes.</p>
Full article ">Figure 7
<p>Pneumatic conveying device diagram. (<b>a</b>,<b>b</b>) Pneumatic conveying device test bench; (<b>c</b>) Sanke frequency converter; (<b>d</b>) High-pressure fan; (<b>e</b>) CHWVN-WD4100YA28 model sensor; (<b>f</b>) HTSUA1333GC-T high-speed camera.</p>
Full article ">Figure 8
<p>The movement of solid feed in the pipe. (<b>a</b>) Suspension state of solid feed under different wind speeds; (<b>b</b>) Four kinds of randomly intercepted accumulation phenomena.</p>
Full article ">Figure 9
<p>Motion process of particle slug under different wind speeds.</p>
Full article ">Figure 10
<p>The positions of the five particles at different times.</p>
Full article ">
27 pages, 31119 KiB  
Article
Hazards in Products from Northern Mediterranean Countries Reported in the Rapid Alert System for Food and Feed (RASFF) in 1997–2021 in the Context of Sustainability
by Marcin Pigłowski, Alberto Nogales and Maria Śmiechowska
Sustainability 2025, 17(3), 889; https://doi.org/10.3390/su17030889 - 22 Jan 2025
Abstract
The European Green Deal attaches great importance to sustainability, including food security, which is also linked to food safety. This is particularly relevant in such a sensitive region as the Mediterranean. The goal of this study was to investigate Rapid Alert System for [...] Read more.
The European Green Deal attaches great importance to sustainability, including food security, which is also linked to food safety. This is particularly relevant in such a sensitive region as the Mediterranean. The goal of this study was to investigate Rapid Alert System for Food and Feed (RASFF) notifications of hazards reported in 1997–2021 (a 25-year period) in products from northern Mediterranean countries considering products and other variables. A two-way joining cluster analysis was used. The most notable hazards in the latter years of the reported period were as follows: ochratoxin A and pesticide residues in fruits and vegetables imported from Turkey and ethylene oxide in various products, as well as Salmonella in chicken, Listeria in cheese, Escherichia coli in cheese and mussels from France, mercury in swordfish from Spain, and Anisakis in seafood from France and Morocco. The increasing number of notifications of ochratoxin A and pathogenic micro-organisms in recent years may be caused by climate change. This also results in the need to use more pesticides and the appearance of related hazards, i.e., residues of such compounds in food products. It is, therefore, vitally important that border posts and control authorities in particular European Union countries are vigilant. Full article
Show Figures

Figure 1

Figure 1
<p>The number of notifications in the RASFF reported on products from Mediterranean countries per year over the period 1997–2021.</p>
Full article ">Figure 2
<p>The findings of cluster analysis for hazard categories and countries of origin on products from northern Mediterranean countries reported in the RASFF in 1997–2021. Explanations for hazard categories: biological contaminants—biological contaminants (other); chemical contaminants—chemical contaminants (other); food additives…—food additives and flavourings; genetically modified—genetically modified food or feed; labelling—labelling absent/incomplete/incorrect; microbial contaminants (other)— microbial contaminants (other); packaging—packaging defective/incorrect; veterinary products—residues of veterinary medicinal products; TSEs—transmissible spongiform encephalopathies. Explanations for countries of origin: B&amp;H—Bosnia and Herzegovina.</p>
Full article ">Figure 3
<p>The findings of cluster analysis for hazard categories and product categories on products from northern Mediterranean countries reported in the RASFF in 1997–2021. Explanations for hazard categories: biological contaminants—biological contaminants (other); chemical contaminants—chemical contaminants (other); food additives…—food additives and flavourings; genetically modified—genetically modified food or feed; labelling—labelling absent/incomplete/incorrect; microbial contaminants (other)— microbial contaminants (other); packaging—packaging defective/incorrect; veterinary products—residues of veterinary medicinal products; TSEs—transmissible spongiform encephalopathies. Explanations for product categories: bivalve molluscs—bivalve molluscs and products thereof; cephalopods—cephalopods and products thereof; cereals and bakery—cereals and bakery products; cocoa, coffee and tea—cocoa and cocoa preparations, coffee, and tea; crustaceans—crustaceans and products thereof; dietetic foods…—dietetic foods, food supplements, and fortified foods; eggs—eggs and egg products; fish—fish and fish products; food additives…—food additives and flavourings; meat—meat and meat products (other than poultry); milk—milk and milk products; molluscs—molluscs and products thereof; nuts and seeds—nuts, nut products, and seeds; poultry meat—poultry meat and poultry meat products; soups, broths…—soups, broths, sauces, and condiments; water—water for human consumption (other); crustaceans (wild-caught)—wild-caught crustaceans and products thereof; fish (wild caught)—wild-caught fish and products thereof (other than crustaceans and molluscs).</p>
Full article ">Figure 4
<p>Imports of fruits and vegetables from Turkey to the European Union in 1999–2021.</p>
Full article ">Figure 5
<p>The network visualization carried out in VOSviewer taking into account the keywords indicated by authors of scientific works containing the words “Mediterranean*” and “food”.</p>
Full article ">Figure 6
<p>The overlay visualization carried out in VOSviewer taking into account the keywords indicated by authors of scientific works containing the words “Mediterranean*” and “food”.</p>
Full article ">
19 pages, 10767 KiB  
Article
Surface Integrity and Machining Mechanism of Al 7050 Induced by Multi-Physical Field Coupling in High-Speed Machining
by Wei Lu, Chenbing Ni, Youqiang Wang, Chengguo Zong, Dejian Liu and Xingbao Huang
Lubricants 2025, 13(2), 47; https://doi.org/10.3390/lubricants13020047 - 22 Jan 2025
Abstract
Improving the surface quality and controlling the microstructure evolution of difficult-to-cut materials are always challenges in high-speed machining (HSM). In this paper, surface topography, defects and roughness are assessed to characterize the surface features of 7050 aluminum alloy (Al 7050) under HSM conditions [...] Read more.
Improving the surface quality and controlling the microstructure evolution of difficult-to-cut materials are always challenges in high-speed machining (HSM). In this paper, surface topography, defects and roughness are assessed to characterize the surface features of 7050 aluminum alloy (Al 7050) under HSM conditions characterized by high temperature, strain and strain rate. Based on multi-physical field coupling, the mechanism of microstructure evolution of Al 7050 is investigated in HSM. The results indicate that the surface morphology and roughness of Al7050 during HSM are optimal at fz = 0.025 mm/z, and the formation of surface defects (adherent chips, cavities, microcracks, material compression and tearing) in HSM is mainly affected by thermo-mechanical coupling. Significant differences are observed in the microstructure of different machined subsurfaces by electron backscatter diffraction (EBSD) technology, and high cutting speeds and high feed rates contributed to recrystallization. The crystallographic texture types on machined subsurface are mainly {110}<112> Brass texture, {001}<100> Cube texture, {123}<634> S texture and {124}<112> R texture, and the crystallographic texture type and intensity are significantly affected by multi-physical field coupling. The elastic–plastic deformation and microstructural evolution of Al7050 alloy during the HSM process are mainly influenced by the coupling effects of multiple physical fields (stress–strain field and thermo-mechanical coupling field). This study reveals the internal mechanism of multi-physical field coupling in HSM and provides valuable enlightenment for the control of microstructure evolution of difficult-to-cut materials in HSM. Full article
(This article belongs to the Special Issue Friction and Wear of Alloys)
Show Figures

Figure 1

Figure 1
<p>HSM experimental equipment.</p>
Full article ">Figure 2
<p>The 3D FE simulation model for HSM.</p>
Full article ">Figure 3
<p>Effect of cutting speed on surface morphology and defects.</p>
Full article ">Figure 4
<p>Effect of feed rate on surface morphology and defects.</p>
Full article ">Figure 5
<p>Effect of cutting parameter on surface roughness: (<b>a</b>) cutting speed, (<b>b</b>) feed rate.</p>
Full article ">Figure 6
<p>Microstructure of the machined subsurface at <span class="html-italic">V<sub>c</sub></span> = 1000 m/min: (<b>a</b>) inverse pole figure (IPF), (<b>b</b>) recrystallization map, (<b>c</b>) misorientation angle distribution, (<b>d</b>) pole figure (PF), (<b>e</b>) ODF maps.</p>
Full article ">Figure 7
<p>Microstructure of the machined subsurface at <span class="html-italic">V<sub>c</sub></span> = 1500 m/min: (<b>a</b>) IPF, (<b>b</b>) recrystallization map, (<b>c</b>) misorientation angle distribution, (<b>d</b>) PF, (<b>e</b>) ODF maps.</p>
Full article ">Figure 8
<p>Microstructure of the machined subsurface at <span class="html-italic">f<sub>z</sub></span> = 0.125 mm/z: (<b>a</b>) IPF, (<b>b</b>) recrystallization map, (<b>c</b>) misorientation angle distribution, (<b>d</b>) PF, (<b>e</b>) ODF maps.</p>
Full article ">Figure 8 Cont.
<p>Microstructure of the machined subsurface at <span class="html-italic">f<sub>z</sub></span> = 0.125 mm/z: (<b>a</b>) IPF, (<b>b</b>) recrystallization map, (<b>c</b>) misorientation angle distribution, (<b>d</b>) PF, (<b>e</b>) ODF maps.</p>
Full article ">Figure 9
<p>Effect of cutting parameter on cutting force in three directions: (<b>a</b>) cutting speed, (<b>b</b>) feed rate.</p>
Full article ">Figure 10
<p>Temperature field cloud maps at different cutting parameters: (<b>a</b>) <span class="html-italic">V<sub>c</sub></span> = 500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>b</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>c</b>) <span class="html-italic">V<sub>c</sub></span> = 1500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>d</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.025 mm/z, (<b>e</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.1 mm/z, (<b>f</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.125 mm/z.</p>
Full article ">Figure 11
<p>Equivalent stress field cloud maps at different cutting parameters: (<b>a</b>) <span class="html-italic">V<sub>c</sub></span> = 500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>b</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>c</b>) <span class="html-italic">V<sub>c</sub></span> = 1500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>d</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.025 mm/z, (<b>e</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.1 mm/z, (<b>f</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.125 mm/z.</p>
Full article ">Figure 12
<p>Equivalent strain field cloud maps at different cutting parameters: (<b>a</b>) <span class="html-italic">V<sub>c</sub></span> = 500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>b</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>c</b>) <span class="html-italic">V<sub>c</sub></span> = 1500 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.075 mm/z, (<b>d</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.025 mm/z, (<b>e</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.1 mm/z, (<b>f</b>) <span class="html-italic">V<sub>c</sub></span> = 1000 m/min, <span class="html-italic">f<sub>z</sub></span> = 0.125 mm/z.</p>
Full article ">Figure 13
<p>Multi-physical field mechanism.</p>
Full article ">
18 pages, 17857 KiB  
Article
Body Weight Estimation of Cattle in Standing and Lying Postures Using Point Clouds Derived from Unmanned Aerial Vehicle-Based LiDAR
by Yaowu Wang, Sander Mücher, Wensheng Wang and Lammert Kooistra
Drones 2025, 9(2), 84; https://doi.org/10.3390/drones9020084 - 22 Jan 2025
Abstract
This study aims to explore body weight estimation for cattle in both standing and lying postures, using 3D data. We apply a Unmanned Aerial Vehicle-based (UAV-based) LiDAR system to collect data during routine resting periods between feedings in the natural husbandry conditions of [...] Read more.
This study aims to explore body weight estimation for cattle in both standing and lying postures, using 3D data. We apply a Unmanned Aerial Vehicle-based (UAV-based) LiDAR system to collect data during routine resting periods between feedings in the natural husbandry conditions of a commercial farm, which ensures minimal interruption to the animals. Ground truth data are obtained by weighing cattle as they voluntarily pass an environmentally embedded scale. We have developed separate models for standing and lying postures and trained them on features extracted from the segmented point clouds of cattle with unique identifiers (UIDs). The models for standing posture achieve high accuracy, with a best-performance model, Random Forest, obtaining an R2 of 0.94, an MAE of 4.72 kg, and an RMSE of 6.33 kg. Multiple linear regression models are trained to estimate body weight for the lying posture, using volume- and posture-wise characteristics. The model used 1 cm as the thickness of the slice-wise volume calculation, achieving an R2 of 0.71, an MAE of 7.71 kg, and an RMSE of 9.56 kg. These results highlight the potential of UAV-based LiDAR data for accurate and non-intrusive estimation of cattle body weight in lying and standing postures, which paves the way for improved management practices in precision livestock farming. Full article
15 pages, 2781 KiB  
Review
Feeding Approach to Optimizing Nutrition in Infants with Congenital Heart Disease
by Belinda Chan, Anne Woodbury, Libbi Hazelwood and Yogen Singh
J. Cardiovasc. Dev. Dis. 2025, 12(2), 38; https://doi.org/10.3390/jcdd12020038 - 22 Jan 2025
Abstract
Congenital heart disease (CHD) affects 1% of live births globally. Infants with CHD often experience growth faltering and malnutrition due to increased metabolic demands, malabsorption, and feeding intolerance, further worsened by surgical interventions and frequent hospitalizations. Malnutrition in this population is linked to [...] Read more.
Congenital heart disease (CHD) affects 1% of live births globally. Infants with CHD often experience growth faltering and malnutrition due to increased metabolic demands, malabsorption, and feeding intolerance, further worsened by surgical interventions and frequent hospitalizations. Malnutrition in this population is linked to higher morbidity, extended hospital stays, and poor neurodevelopmental outcomes. The physiological diversity among CHD types presents significant challenges in developing a universal feeding strategy to optimize nutrition. This narrative review explores the interplay between CHD physiology and nutritional management. CHD types could be categorized into three hemodynamic groups—systemic hypoperfusion, global hypoxia, and pulmonary overcirculation—which help to consider a feeding approach based on such physiology. Nutritional management in these infants could be further tailored based on the disease severity, co-morbidities, and evolving hemodynamic changes. Based on clinical opinions, this review proposes a hemodynamic-focused risk-stratified feeding approach, considering ways that may enhance growth while possibly minimizing complications such as necrotizing enterocolitis (NEC), pulmonary overload, and worsening heart failure. This approach may help individualize nutritional management to address the complex needs of infants with CHD. Further quality improvement studies are needed to assess this approach. Beyond meeting macronutrient needs, micronutrients, including zinc, thiamine, magnesium, vitamin A, and calcium, potentially play a role in cardiovascular health. Given the complexity of nutritional management in these infants, a multidisciplinary team may be needed to optimize care, including cardiologists, neonatologists, pediatricians, dietitians, speech therapists, and pharmacists. With the current knowledge gap and lack of strong evidence, research should focus on nutritional interventions and study their potential impact on infant outcomes with CHDs. Full article
(This article belongs to the Special Issue Heart Diseases in Children)
Show Figures

Figure 1

Figure 1
<p>Doppler flow images of descending aorta with the normal forward flow in diastole (<b>a</b>) and with the abnormal retrograde flow in diastole (<b>b</b>), and of abdominal aorta with the normal forward flow in diastole (<b>c</b>) and with the abnormal retrograde flow in diastole (<b>d</b>).</p>
Full article ">Figure 2
<p>The abdominal ultrasound with color Doppler flow imaging (<b>a</b>) highlights the aorta, celiac artery, and superior mesenteric artery (SMA). Doppler assessment (<b>b</b>) reveals hyperemia within the small vessels surrounding the intestinal walls, consistent with early-stage necrotizing enterocolitis (NEC). Additionally, ascites and echogenic intestines were observed. Perfusion may eventually cease in the necrotic bowel.</p>
Full article ">Figure 3
<p>Lung ultrasound images demonstrate (<b>A</b>) normal lungs, characterized by echogenic horizontal A-lines (indicated by arrows), and (<b>B</b>) lungs with pulmonary edema, identified by multiple echogenic vertical B-lines (indicated by dotted lines).</p>
Full article ">Figure 4
<p>The proposed hemodynamic-focused, risk-stratified feeding flow chart is based on comorbidities, CHD type, and CHD severity.</p>
Full article ">Figure 5
<p>Parental nutrition composition for infants with CHD.</p>
Full article ">
31 pages, 457 KiB  
Review
A Promising Niche: Current State of Knowledge on the Agroecological Contribution of Alternative Livestock Farming Practices
by Pascal Genest-Richard, Caroline Halde, Patrick Mundler and Nicolas Devillers
Agriculture 2025, 15(3), 235; https://doi.org/10.3390/agriculture15030235 - 22 Jan 2025
Abstract
Agroecology is increasingly used to study the evolution of farms and food systems, in which livestock plays a significant part. While large-scale specialized livestock farms are sometimes criticized for their contribution to climate change and nutrient cycle disruption, interest in alternative practices such [...] Read more.
Agroecology is increasingly used to study the evolution of farms and food systems, in which livestock plays a significant part. While large-scale specialized livestock farms are sometimes criticized for their contribution to climate change and nutrient cycle disruption, interest in alternative practices such as raising multiple species, integrating crop and livestock, relying on pasture, and marketing through short supply chains is growing. Through a narrative review, we aimed to determine if the scientific literature allowed for an evaluation of the agroecological contribution of alternative livestock farming practices. Taking advantage of ruminants’ capacity to digest human-inedible plant material such as hay and pasture on marginal land reduces the competition between livestock feed and human food for arable land. Taking advantage of monogastric animals’ capacity to digest food waste or byproducts limits the need for grain feed. Pasturing spreads manure directly on the field and allows for the expression of natural animal behavior. Animals raised on alternative livestock farms, however, grow slower and live longer than those raised on large specialized farms. This causes them to consume more feed and to emit more greenhouse gases per unit of meat produced. Direct or short supply chain marketing fosters geographical and relational proximity, but alternative livestock farms’ contribution to the social equity and responsibility principles of agroecology are not well documented. Policy aimed at promoting practices currently in place on alternative livestock farms is compatible with agroecology but has to be envisioned in parallel with a reduction in animal consumption in order to balance nutrient and carbon cycles. Full article
(This article belongs to the Section Agricultural Systems and Management)
16 pages, 13626 KiB  
Article
Metabolomic Insights into the Potential of Chestnut Biochar as a Functional Feed Ingredient
by Serena Reggi, Sara Frazzini, Simone Pedrazzi, Martina Ghidoli, Maria Claudia Torresani, Marco Puglia, Nicolò Morselli, Marianna Guagliano, Cinzia Cristiani, Salvatore Roberto Pilu, Elisabetta Onelli, Alessandra Moscatelli and Luciana Rossi
Appl. Sci. 2025, 15(3), 1084; https://doi.org/10.3390/app15031084 - 22 Jan 2025
Abstract
Biochar is potentially a functional ingredient in animal nutrition that offers health benefits such as detoxification, while also promoting environmental sustainability through carbon sequestration, emission reduction, and its circular production. However, the heterogeneity of commercially available biochar products requires a detailed assessment of [...] Read more.
Biochar is potentially a functional ingredient in animal nutrition that offers health benefits such as detoxification, while also promoting environmental sustainability through carbon sequestration, emission reduction, and its circular production. However, the heterogeneity of commercially available biochar products requires a detailed assessment of their functional properties for applications in animal feed. This study evaluates chestnut biochar from morphological, chemical, and metabolomic perspectives and assesses its functional properties. Metabolomic analysis of a water extract using QTOF HPLC-MS/MS confirmed the presence of bioactive compounds, such as hydroxybenzoic and succinic acids, highlighting its potential as a functional feed ingredient. The chestnut biochar inhibited the growth of the pathogenic E. coli strains F18+ and F4+, with maximum inhibition rates of 15.8% and 28.6%, respectively, after three hours of incubation. The downregulation of genes associated with quorum sensing (MotA, FliA, FtsE, and HflX, involved in biofilm formation and cellular division) suggests that biochar interferes with several aspects of the pathogenic process. Importantly, biochar was not found to adversely affect beneficial probiotic bacteria, such as Lactiplantibacillus plantarum and Limosilactobacillus reuteri. These findings support the potential of chestnut biochar as a versatile ingredient for sustainable animal nutrition, thus promoting animal welfare while offering environmental benefits. Full article
(This article belongs to the Special Issue Extraction of Functional Ingredients and Their Application)
Show Figures

Figure 1

Figure 1
<p>The chestnut biochar production process and flow chart of the study.</p>
Full article ">Figure 2
<p>Morphological analysis of biochar from chestnut agro-residue biomass by scanning electron microscope (SEM). (<b>A</b>) Image at low magnification; (<b>B</b>–<b>G</b>) Image at high magnification.</p>
Full article ">Figure 3
<p>Growth inhibition of CB extract against <span class="html-italic">E. coli</span>. (<b>a</b>) Growth inhibition of <span class="html-italic">E. coli</span> F4+. (<b>b</b>) Growth inhibition of <span class="html-italic">E. coli</span> F18+. Data are shown as the means and standard deviations. Different superscript letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 among different concentrations within the same time point.</p>
Full article ">Figure 4
<p>Relative expression of the FliA, MotA, FtsE, and Hflx genes. (<b>a</b>) Relative expression of <span class="html-italic">E. coli</span> F4+ at 3 h of coculture with 100 μL/mL di CB extract; (<b>b</b>) Relative expression of <span class="html-italic">E. coli</span> F18+ at 3 h of coculture with 100 μL/mL di CB extract. The symbol * indicates a significant difference <span class="html-italic">p</span> ≤ 0.05, and ** indicates a significant difference <span class="html-italic">p</span> ≤ 0.001, ns indicates not significative.</p>
Full article ">Figure 5
<p>(<b>a</b>) <span class="html-italic">L. reuteri</span> growth with 0, 50, and 100 μL/mL of CB biochar over time; (<b>b</b>) <span class="html-italic">L. plantarum</span> growth with 0, 50, and 100 μL/mL of CB biochar over time. Different superscript letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05 among different concentrations within the same time point.</p>
Full article ">
19 pages, 389 KiB  
Article
Exploring the Behavior and Performance of Large Language Models: Can LLMs Infer Answers to Questions Involving Restricted Information?
by Ángel Cadena-Bautista, Francisco F. López-Ponce, Sergio Luis Ojeda-Trueba, Gerardo Sierra and Gemma Bel-Enguix
Information 2025, 16(2), 77; https://doi.org/10.3390/info16020077 - 22 Jan 2025
Abstract
In this paper various LLMs are tested in a specific domain using a Retrieval-Augmented Generation (RAG) system. The study focuses on the performance and behavior of the models and was conducted in Spanish. A questionnaire based on The Bible, which consists of questions [...] Read more.
In this paper various LLMs are tested in a specific domain using a Retrieval-Augmented Generation (RAG) system. The study focuses on the performance and behavior of the models and was conducted in Spanish. A questionnaire based on The Bible, which consists of questions that vary in complexity of reasoning, was created in order to evaluate the reasoning capabilities of each model. The RAG system matches a question with the most similar passage from The Bible and feeds the pair to each LLM. The evaluation aims to determine whether each model can reason solely with the provided information or if it disregards the instructions given and makes use of its pretrained knowledge. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The RAG system flow of information. The questions and Bible chapters correspond to the input of the system, whereas the LLM’s answer corresponds to the output.</p>
Full article ">Figure 2
<p>Models’ answer segmentation using RAG.</p>
Full article ">Figure 3
<p>Models’ answer segmentation neutral behavior.</p>
Full article ">
22 pages, 5346 KiB  
Article
Antioxidant Synergy in a Mixture of Powder Plant Leaves and Effects on Metabolic Profile, Oxidative Status and Intestinal Morpho-Histochemical Features of Laying Hens
by Angela Gabriella D’Alessandro, Alessio Di Luca, Salvatore Desantis and Giovanni Martemucci
Animals 2025, 15(3), 308; https://doi.org/10.3390/ani15030308 - 22 Jan 2025
Abstract
Phenolic antioxidant intake is encouraged to prevent oxidative damage, and antioxidant synergy is considered an advantage in adding polyphenols from varied plants. This study investigated the antioxidant and synergistic interactions among olive leaf (OL), bay laurel (BL), and rosemary (RL) leaf powder mixture [...] Read more.
Phenolic antioxidant intake is encouraged to prevent oxidative damage, and antioxidant synergy is considered an advantage in adding polyphenols from varied plants. This study investigated the antioxidant and synergistic interactions among olive leaf (OL), bay laurel (BL), and rosemary (RL) leaf powder mixture (LPM: OL + BL + RL), using in vitro chemical tests [TPC, ORAC, TEAC-ABTS, FRAP; combination index (CI)], and in vivo validation on blood oxidative status, metabolic profile, and intestinal histomorphology in laying hens. The in vitro study indicated a whole higher antioxidant capacity for the LPM than respective single/double-leave combinations. The LPM CI value (IC50, 0.60) indicated a synergistic effect compared to the binary combinations. Thus, the LPM was validated in vivo through dietary supplementation on sixty Lohmann Brown hens (30 weeks old), reared in an indoor–outdoor rearing system divided. The hens were allocated into two experimental groups (n. 30): basal control diet group; and diet supplemented group with 6 g/kg feed of LPM) containing OL, BL, and RL (respectively, at 65.7%:18.9%:15.4%), for 60 days. The LPM improved (p < 0.05) the oxidative status (TAS, FRAP; ROMs, TBARs) and vitamin E level, metabolic and immunological profiles, and it induced region-specific changes in the morphology and carbohydrate composition of mucins along intestinal tracts of the animals. These findings could provide a valuable strategy for identifying synergistic combinations in functional feed formulations for laying hens. Full article
(This article belongs to the Section Poultry)
Show Figures

Figure 1

Figure 1
<p>Effect of dietary leaf power mixture (LPM) supplementation on laying hens’ villus height and crypt depth. Data show the mean with error bars representing ± SD and Student’s <span class="html-italic">t</span>-test results. * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 2
<p>Density of goblet cells (GCs) expressed as the number of cells per 100 µm of villus length in duodenum and ileum of control (Con) and leaf power mixture (LPM) supplemented laying hens stained with PAS and HID/AB 2.5 procedure to reveal both neutral and acidic mucins. Data show the mean with error bars representing ± SD and Student’s t-test results. * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 3
<p>Representative pictures showing the different staining intensity with PAS (<b>A</b>,<b>B</b>) and HID/Alcian Blue pH 2.5 (AB2.5) (<b>C</b>,<b>D</b>) staining procedures in the duodenum and ileum villi of laying hens. (<b>A</b>,<b>B</b>) PAS-positive goblet cells exhibit magenta staining; the nuclei are stained with Mayer’s hemalum. (<b>C</b>,<b>D</b>) Goblet cells show HID positivity (brown) in the duodenum and both HID and AB 2.5 positivity (blue) in the ileum; the nuclei are stained with fast red. lp, lamina propria; asterisk, goblet cells. Scale bar: (<b>A</b>–<b>D</b>), 25 µm.</p>
Full article ">Figure 4
<p>Percentage of the intestinal goblet cells of Control and LPM hens producing neutral mucins (PAS, magenta), acidic sulphated glycans (HID, brown), and both non-sulphated and sulphated acidic glycans (HID/AB 2.5, green).</p>
Full article ">
19 pages, 862 KiB  
Article
Effect of Dietary Lactobacillus plantarum Supplementation on the Growth Performance, Intestinal Health, Antioxidant Capacity, and mTOR Signaling Pathway of Juvenile Coho Salmon (Oncorhynchus kisutch)
by Qin Zhang, Lan Li, Rongxin Qin, Liuqing Meng, Dongsheng Liu, Tong Tong, Lixiao Xu, Yongqiang Liu and Weiguang Kong
Int. J. Mol. Sci. 2025, 26(3), 907; https://doi.org/10.3390/ijms26030907 - 22 Jan 2025
Abstract
This study investigates the effect of dietary Lactobacillus plantarum supplementation on juvenile coho salmon (Oncorhynchus kisutch). Four groups of the juveniles (initial weight 103.87 ± 2.65 g) were fed for 10 weeks with four diets containing 0 (control diet), 105 [...] Read more.
This study investigates the effect of dietary Lactobacillus plantarum supplementation on juvenile coho salmon (Oncorhynchus kisutch). Four groups of the juveniles (initial weight 103.87 ± 2.65 g) were fed for 10 weeks with four diets containing 0 (control diet), 105 (T1), 107 (T2), and 109 (T3) cfu/g of L. plantarum. The main results are as follows: Compared with the control diet, the final weight, specific growth rate (SGR), and weight gain rate (WGR) of the juveniles fed the T1, T2, and T3 diet significantly (p < 0.05) increased, while the feed coefficient ratio (FCR) expressed an opposite trend. The activities of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-PX) in the serum of the juveniles fed the T2 diet significantly (p < 0.05) increased, while the malondialdehyde (MDA) expressed an opposite trend. The expression of phosphatidylinositol 4,5-bisphosphate 3-kinase (pi3k), AKT-interacting protein (akt), mechanistic target of rapamycin kinase (mtor), glucose-6-phosphate dehydrogenase (g6pd), sod, cat, and gsh-px genes in the liver of the juveniles fed the T2 diet significantly (p < 0.05) increased. In conclusion, the T2 diet significantly improved the growth performance, antioxidant capacity, and upregulated key mTOR pathway genes in juvenile coho salmon. Full article
(This article belongs to the Special Issue Fish Nutrition, Metabolism and Physiology)
Show Figures

Figure 1

Figure 1
<p>Effect of dietary <span class="html-italic">L. plantarum</span> supplementation on intestinal tissue morphology of juvenile coho salmon. VH means villi height, VW means villi width, and IWT means intestine wall thickness.</p>
Full article ">Figure 2
<p>Effect of dietary <span class="html-italic">L. plantarum</span> supplementation on the expression of phosphatidylinositol 4,5-bisphosphate 3-kinase (<span class="html-italic">pi3k</span>), AKT-interacting protein (<span class="html-italic">akt</span>), mechanistic target of rapamycin kinase (<span class="html-italic">mtor</span>), glucose-6-phosphate dehydrogenase (<span class="html-italic">g6pd</span>), superoxide dismutase (<span class="html-italic">sod</span>), catalase (<span class="html-italic">cat</span>), and glutathione peroxidase (<span class="html-italic">gsh-px</span>) genes in the liver of juvenile coho salmon. All data are mean ± SE (<span class="html-italic">n</span> = 3), and in the same row, the values with different small letter superscripts are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
17 pages, 7170 KiB  
Article
Additively Manufactured Three-Dimensional Microstrip Balun for Wearable Applications
by Allyanna Rice and Asimina Kiourti
Electronics 2025, 14(3), 432; https://doi.org/10.3390/electronics14030432 - 22 Jan 2025
Viewed by 5
Abstract
We present a three-dimensional, additively manufactured microstrip balun design for the balanced feeding of wearable antennas. Extensive research has been performed regarding wearable antennas, but the balun design is often ignored. The balun may be omitted, a commercial off-the-shelf balun may be used, [...] Read more.
We present a three-dimensional, additively manufactured microstrip balun design for the balanced feeding of wearable antennas. Extensive research has been performed regarding wearable antennas, but the balun design is often ignored. The balun may be omitted, a commercial off-the-shelf balun may be used, or a bulky microstrip balun may be implemented; however, these options are either incorrect or add a significant size to the antenna that is not acceptable for wearable applications. We propose a three-dimensional, conformal microstrip balun enabled by additive manufacturing (AM) technology, and demonstrate its performance using the wearable High-Contrast Low-Loss Antenna (HCLA) as an example. First, the electromagnetic properties of potential substrate materials are characterized from 0.5 to 3 GHz. Exponential tapered baluns are designed, simulated, and tested in a back-to-back configuration to verify the measured material properties for the substrates. Then, the baluns are integrated with the HCLA using a conformal configuration. The measurement results from 0.5 to 3 GHz on the phantoms agree with the simulation for both the reflection coefficient and transmission loss. Importantly, the proposed balun allows the antenna to be used in wearable applications, where balun size would have previously hindered its implementation. The flexibility of the proposed design also allows for the integration with other antennas aside from the HCLA. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Perpendicular and (<b>b</b>) conformal orientation for integrating the microstrip-to-parallel-strip-line balun with the HCLA.</p>
Full article ">Figure 2
<p>Flowchart demonstrating the methodology for this research.</p>
Full article ">Figure 3
<p>Measured (<b>a</b>) relative permittivity (ε<sub>r</sub>) and (<b>b</b>) loss tangent (tanδ) of various substrate materials.</p>
Full article ">Figure 4
<p>Simulated layout of the back-to-back tapered balun.</p>
Full article ">Figure 5
<p>Simulated (<b>a</b>) reflection coefficient and (<b>b</b>) transmission coefficient of the back-to-back balun with various substrates.</p>
Full article ">Figure 6
<p>Fabrication process for the back-to-back baluns with 3D-printed substrates.</p>
Full article ">Figure 7
<p>Simulated vs. measured transmission coefficient of the fabricated back-to-back balun with various substrates.</p>
Full article ">Figure 8
<p>Simulated vs. measured reflection coefficient of the fabricated PDMS and Clear back-to-back baluns.</p>
Full article ">Figure 9
<p>Simulated electric field patterns of the HCLA at 3 GHz with the integrated (<b>a</b>) perpendicular and (<b>b</b>) conformal baluns.</p>
Full article ">Figure 10
<p>Simulated reflection and transmission coefficient for the Clear balun integrated with the antenna in the conformal (solid lines) and the perpendicular (dashed lines) orientations.</p>
Full article ">Figure 11
<p>Fabricated HCLA integrated with the Clear resin balun.</p>
Full article ">Figure 12
<p>Experimental setup with the PDMS balun integrated with the HCLA on two-thirds muscle phantom (ground beef).</p>
Full article ">Figure 13
<p>Simulated vs. measured reflection coefficient of the fabricated antenna with the PDMS and Clear baluns.</p>
Full article ">Figure 14
<p>The (<b>a</b>) simulation setup of the HCLA with different airgap heights between the balun substrate, antenna dielectric, and ground beef phantom and (<b>b</b>) the simulated vs. measured reflection coefficient results.</p>
Full article ">Figure 15
<p>Simulated vs. measured transmission coefficient of the fabricated antenna with the PDMS and Clear baluns.</p>
Full article ">Figure 16
<p>Simulated transmission loss of the HCLA to a 2.4 GHz implantable antenna.</p>
Full article ">
15 pages, 2471 KiB  
Article
Harnessing Physics-Informed Neural Networks for Performance Monitoring in SWRO Desalination
by Saloua Helali, Shadiah Albalawi and Nizar Bel Hadj Ali
Water 2025, 17(3), 297; https://doi.org/10.3390/w17030297 - 22 Jan 2025
Viewed by 5
Abstract
Seawater Reverse Osmosis (SWRO) desalination is a critical technology for addressing global water scarcity, yet its performance can be hindered by complex process dynamics and operational inefficiencies. This study investigates the revolutionary potential of Physics-Informed Neural Networks (PINNs) for modeling SWRO desalination processes. [...] Read more.
Seawater Reverse Osmosis (SWRO) desalination is a critical technology for addressing global water scarcity, yet its performance can be hindered by complex process dynamics and operational inefficiencies. This study investigates the revolutionary potential of Physics-Informed Neural Networks (PINNs) for modeling SWRO desalination processes. PINNs are subsets of machine learning algorithms that incorporate physical information to help provide physically meaningful neural network models. The proposed approach is here demonstrated using operating data collected over several months in a Seawater RO plant. PINN-based models are presented to estimate the effects of operating conditions on the permeate TDS and pressure drop. The focus is on the feed water temperature variations and progressive membrane deterioration caused by fouling. Predictive models generated using PINNs showed high performances with a determination coefficient of 0.96 for the permeate TDS model and 0.97 for the pressure drop model. Results show that the use of PINNs significantly enhances the ability to predict membrane fouling and produced water quality, thereby supporting informed decision-making for RO process control. Full article
(This article belongs to the Topic Advances in Crop Simulation Modelling)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the PINN. The diagram shows a physics-informed loss function embedded into a typical data-driven neural network scheme.</p>
Full article ">Figure 2
<p>Schematic of the studied SWRO plant. The process comprises two-pass RO units. The first pass includes a unique stage whereas the second pass is organized in two stages.</p>
Full article ">Figure 3
<p>Variations in the feed water temperature during the monitoring period. Temperature variations are seasonal variations.</p>
Full article ">Figure 4
<p>Variations in the feed water TDS during the monitoring period.</p>
Full article ">Figure 5
<p>Variations in the feed flow rate during the monitoring period.</p>
Full article ">Figure 6
<p>Variations in the feed water pressure during the monitoring period.</p>
Full article ">Figure 7
<p>Evolution of the permeate TDS during the monitoring period. Membrane cleaning events are marked in the figure.</p>
Full article ">Figure 8
<p>Evolution of the pressure drop during the monitoring period.</p>
Full article ">Figure 9
<p>Comparing PINN model prediction with experimental operating data for (<b>a</b>) the permeate TDS and (<b>b</b>) the pressure drop.</p>
Full article ">Figure 10
<p>Comparing PINN model prediction with experimental operating data for the permeate TDS.</p>
Full article ">Figure 11
<p>Comparing PINN model prediction with experimental operating data for pressure drop.</p>
Full article ">Figure 12
<p>Predicted permeate TDS based on the PINN model.</p>
Full article ">
22 pages, 3523 KiB  
Systematic Review
Sexual Dysfunctions in Breastfeeding Females: Systematic Review and Meta-Analysis
by Darya Smetanina, Shouq Alnuaimi, Afra Alkaabi, Meera Alketbi, Elshimaa Hamam, Hanin Alkindi, Mahra Almheiri, Rouda Albasti, Hajar Almansoori, Mahra Alshehhi, Shamsa Al Awar, Yauhen Statsenko and Kornelia Zaręba
J. Clin. Med. 2025, 14(3), 691; https://doi.org/10.3390/jcm14030691 - 22 Jan 2025
Viewed by 46
Abstract
Background: The prevalence of sexual dysfunctions varies from 35.5% to over 80% among postpartum women. Controversy exists regarding the risk factors for female sexual dysfunction (FSD) in the postpartum period. It remains unclear whether breastfeeding types contribute to the development of FSDs differently. [...] Read more.
Background: The prevalence of sexual dysfunctions varies from 35.5% to over 80% among postpartum women. Controversy exists regarding the risk factors for female sexual dysfunction (FSD) in the postpartum period. It remains unclear whether breastfeeding types contribute to the development of FSDs differently. Aims: The primary goal of this meta-analysis was to explore the role of baby feeding practices in developing sexual dysfunctions in women. Methods: We conducted a systematic literature search using the biomedical databases Scopus, CINAHL, Embase, the Web of Science, and PubMed/Medline. We looked for peer-reviewed, original studies written in English, Polish, and Arabic and published between January 2000 and June 2023. We included publications that reported scores in sexuality domains assessed with the Female Sexual Dysfunction Index (FSFI) and any sexuality-related issues during postpartum. The FSFI scores were combined in a meta-analysis using the random-effects inverse-variance model. Other findings were synthesized with a narrative review. Results: Eighteen articles met the eligibility criteria for the systematic review and meta-analysis. Sexual dysfunctions were detected in all the women, irrespective of the feeding type. Better overall sexual functioning was reported among women using complementary feeding than among those who breastfed exclusively or used baby bottles: 22.16, 95% CI [21.68; 22.65]; 21.61, 95% CI [20.27; 22.95]; and 20.18, 95% CI: [20.93; 61.30], respectively. Slightly lower scores were reported in all the FSFI subscales in exclusively breastfeeding women compared to those using the complementary method. Conclusions: Breastfeeding females experience difficulties in sexual life during the postpartum period, irrespective of the feeding type. These findings can help in designing preventive measures for tackling postpartum sexual dysfunctions in women. Full article
Show Figures

Figure 1

Figure 1
<p>PRISMA flowchart and decision-making process for including studies in the analysis.</p>
Full article ">Figure 2
<p>Forest plot showing pooled score in the FSFI Desire domain in women choosing (<b>A</b>) exclusive [<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>].</p>
Full article ">Figure 3
<p>Forest plot presenting pooled score in the FSFI Arousal domain in women choosing (<b>A</b>) exclusive [<a href="#B39-jcm-14-00691" class="html-bibr">39</a>,<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>].</p>
Full article ">Figure 4
<p>Forest plot presenting pooled score in the FSFI Orgasm domain in women choosing (<b>A</b>) exclusive [<a href="#B39-jcm-14-00691" class="html-bibr">39</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>].</p>
Full article ">Figure 5
<p>Forest plot presenting pooled score in the FSFI Lubrication domain in women choosing (<b>A</b>) exclusive [<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>].</p>
Full article ">Figure 6
<p>Forest plot presenting pooled score in the FSFI Pain domain in women choosing (<b>A</b>) exclusive [<a href="#B39-jcm-14-00691" class="html-bibr">39</a>,<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>].</p>
Full article ">Figure 7
<p>Forest plot presenting pooled score in the FSFI Satisfaction domain in women choosing (<b>A</b>) exclusive [<a href="#B39-jcm-14-00691" class="html-bibr">39</a>,<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>] and (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>].</p>
Full article ">Figure 8
<p>Forest plot presenting pooled score in the total FSFI score in women choosing (<b>A</b>) exclusive [<a href="#B40-jcm-14-00691" class="html-bibr">40</a>,<a href="#B41-jcm-14-00691" class="html-bibr">41</a>,<a href="#B42-jcm-14-00691" class="html-bibr">42</a>,<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B44-jcm-14-00691" class="html-bibr">44</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>], (<b>B</b>) complemented breastfeeding [<a href="#B43-jcm-14-00691" class="html-bibr">43</a>,<a href="#B44-jcm-14-00691" class="html-bibr">44</a>,<a href="#B45-jcm-14-00691" class="html-bibr">45</a>], and (<b>C</b>) formula [<a href="#B44-jcm-14-00691" class="html-bibr">44</a>,<a href="#B46-jcm-14-00691" class="html-bibr">46</a>].</p>
Full article ">
20 pages, 4298 KiB  
Article
Design and Field Evaluation of an End Effector for Robotic Strawberry Harvesting
by Ezekyel Ochoa and Changki Mo
Actuators 2025, 14(2), 42; https://doi.org/10.3390/act14020042 - 22 Jan 2025
Viewed by 73
Abstract
As the world’s population continues to rise while the agricultural workforce declines, farmers are increasingly challenged to meet the growing food demand. Strawberries grown in the U.S. are especially threatened by such stipulations, as the cost of labor for such a delicate crop [...] Read more.
As the world’s population continues to rise while the agricultural workforce declines, farmers are increasingly challenged to meet the growing food demand. Strawberries grown in the U.S. are especially threatened by such stipulations, as the cost of labor for such a delicate crop remains the bulk of the total production costs. Autonomous systems within the agricultural sector have enormous potential to catalyze the labor and land expansions required to meet the demands of feeding an increasing population, as well as heavily reducing the amount of food waste experienced in open fields. Our team is working to enhance robotic solutions for strawberry production, aiming to improve field processes and better replicate the efficiency of human workers. We propose a modular configuration that includes a Delta X parallel robot and a pneumatically powered end effector designed for precise strawberry harvesting. Our primary focus is on optimizing the design of the end effector and validating its high-speed actuation capabilities. The prototype of the presented end effector achieved high success rates of 94.74% in simulated environments and 100% in strawberry fields at Farias Farms, even when tasked to harvest in the densely covered conditions of the late growing season. Using an off-the-shelf robotic configuration, the system’s workspace has been validated as adequate for harvesting in a typical two-plant-per-row strawberry field, with the hardware itself being evaluated to harvest each strawberry in 2.8–3.8 s. This capability sets the stage for future enhancements, including the integration of the machine vision processes such that the system will identify and pick each strawberry within 5 s. Full article
(This article belongs to the Special Issue Actuators in Robotic Control—3rd Edition)
Show Figures

Figure 1

Figure 1
<p>Robot architecture of Delta X1 used for strawberry harvesting.</p>
Full article ">Figure 2
<p>Optimized 3D-printed end effector design for strawberry harvesting.</p>
Full article ">Figure 3
<p>Actuation method of the end effector for the simultaneous cutting, pinching, and holding of strawberry stems: (<b>a</b>) retraction and (<b>b</b>) extension.</p>
Full article ">Figure 4
<p>General outline for robotic harvesting procedures.</p>
Full article ">Figure 5
<p>Servo motor-driven fourth axis for the end effector.</p>
Full article ">Figure 6
<p>The kinematic scheme of a delta robot used for analysis: (<b>a</b>) the coordinates (X, Y, and Z) and the dimensions; and (<b>b</b>) the joint angles (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math>) and the end effector position <span class="html-italic">E</span><sub>0</sub> with coordinates x<sub>0</sub>, y<sub>0</sub>, and z<sub>0</sub> [<a href="#B30-actuators-14-00042" class="html-bibr">30</a>].</p>
Full article ">Figure 7
<p>Comparison of simulated (green) and actual (blue) workspace for Delta X1 in MATLAB: (<b>a</b>) XY planar view; (<b>b</b>) YZ planar view; (<b>c</b>) XZ planar view; and (<b>d</b>) 3D view.</p>
Full article ">Figure 8
<p>Simulated validation of the manually determined Delta X1 workspace compared to a typical two-plant-per-row strawberry field: (<b>a</b>) XZ planar view; (<b>b</b>) XY planar view; and (<b>c</b>) 3D view.</p>
Full article ">Figure 9
<p>(<b>a</b>) Simulated validation of end effector hook in Blender, with the original configuration, and (<b>b</b>) magnified view of the stem and the end effector hook.</p>
Full article ">Figure 10
<p>Simulated validation of end effector in Blender with the optimized configuration: (<b>a</b>) hook perpendicular to stem extrusion at 0 degrees; (<b>b</b>) hook parallel to stem extrusion at +90 degrees; and (<b>c</b>) hook positioned parallel to the stem at +45 degree angle.</p>
Full article ">Figure 11
<p>Field testing validation of the end effector in its optimal configuration.</p>
Full article ">Figure 12
<p>(<b>a</b>) Simulated visualization of worst-case scenario harvesting using a delta robot in MATLAB and (<b>b</b>) Simulink plot of moving platform velocities during motion.</p>
Full article ">
16 pages, 2995 KiB  
Article
Taurochenodeoxycholic Acid Improves Growth, Physiology, Intestinal Microbiota, and Muscle Development in Red Swamp Crayfish (Procambarus clarkii)
by Xiaodi Xu, Xiaochuan Zheng, Changyou Song, Xin Liu, Qunlan Zhou, Cunxin Sun, Aimin Wang, Aiming Zhu and Bo Liu
Fishes 2025, 10(2), 38; https://doi.org/10.3390/fishes10020038 - 22 Jan 2025
Viewed by 85
Abstract
Taurochenodeoxycholic acid (TCDCA), one of the bile acids, is thought to be involved in the regulation of muscle nutrient metabolism and gut microbial homeostasis. However, the effect of dietary addition of TCDCA on Procambarus clarkii is unclear. Therefore, in this study, an 8-week [...] Read more.
Taurochenodeoxycholic acid (TCDCA), one of the bile acids, is thought to be involved in the regulation of muscle nutrient metabolism and gut microbial homeostasis. However, the effect of dietary addition of TCDCA on Procambarus clarkii is unclear. Therefore, in this study, an 8-week feeding experiment was conducted to explore the potential regulatory mechanisms of TCDCA on P. clarkii growth, physiology, muscle quality and gut microbes. The results indicated that dietary addition of TCDCA not only improved growth performance (final weight; weight gain; and specific growth rate) but also increased muscle elasticity and protein content. In addition, dietary TCDCA promotes muscle growth and development by increasing myofiber length, which is consistent with the activation of the expression of genes related to protein utilization (TOR and AKT) and muscle proliferation and differentiation (MyHC, MLC1, MEF2A, MEF2B). Importantly, 16s rRNA sequencing demonstrated that dietary TCDCA had no significant effect on gut microbial composition (alpha diversity) but significantly increased microbial abundance at the genus level. Functional prediction analysis of differential microbes revealed that dietary TCDCA may promote metabolism by altering gut microbes, thereby promoting muscle quality. In conclusion, our study demonstrates that the dietary addition of TCDCA promotes P. clarkii growth and muscle quality and protein deposition by altering gut microbes. Full article
Show Figures

Figure 1

Figure 1
<p>The effects of TCDCA on muscle texture and nutrient content of <span class="html-italic">P. clarkii.</span> (<b>A</b>), meat rate; (<b>B</b>), radar map on muscle texture; (<b>C</b>), moisture content; (<b>D</b>), crude protein; (<b>E</b>), ether extract (crude lipid); (<b>F</b>), ash. Data were analyzed by Student’s <span class="html-italic">t</span>-test; * represent <span class="html-italic">p</span> &lt; 0.05, results are indicated as mean ± SEM, <span class="html-italic">n</span> = 9.</p>
Full article ">Figure 2
<p>The effect of TCDCA on the muscle tissue morphology of <span class="html-italic">P. clarkii.</span> (<b>A</b>), H&amp;E staining of muscle fiber; (<b>B</b>), TEM morphology of muscle fiber, red arrows represent the sarcomere length; (<b>C</b>) statistics of sarcomere length, muscle fiber diameter distribution, and myofiber diameter comparison between Con and TCDCA. Data were analyzed by Student’s <span class="html-italic">t</span>-test; * represent <span class="html-italic">p</span> &lt; 0.05, results are indicated as mean ± SEM, <span class="html-italic">n</span> = 9.</p>
Full article ">Figure 3
<p>Effects of TCDCA on the transcription levels of genes related to muscle development in <span class="html-italic">P. clarkii</span>. (<b>A</b>), relative expression of genes related to protein synthesis signaling molecules and transcription factors; (<b>B</b>), relative expression of genes related to myosin and muscle regulatory factors; (<b>C</b>), relative expression of genes related to autophagy factors; (<b>D</b>), relative expression of genes related to ubiquitination factors. Red data mean <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>Intestinal microbes between Con and TCDCA groups in <span class="html-italic">P. clarkia</span>. (<b>A</b>), alpha diversity analysis, ns represent <span class="html-italic">p</span> &gt; 0.05; (<b>B</b>), Principal Component Analysis (PCA); (<b>C</b>), microbial community biomarkers: LEfSe analysis identified the taxa with the most remarkable differences in abundance among the three taxa; (<b>D</b>), microbial comparation analysis between Con and TCDCA groups at the genus level. In (<b>C</b>,<b>D</b>), “c_, o_, f_, g_, s_” are the prefixes of the bacteria.</p>
Full article ">Figure 5
<p>Functional prediction of intestinal microbes under TCDCA. KEGG functional annotation. Red color represents up-regulated functions, and blue color represents down-regulated functions.</p>
Full article ">
Back to TopTop