Search Results (4,283)

Geopolymer, as a promising inorganic binding material, holds potential for use in constructing base layers for highway pavements. This study aims to evaluate the mechanical properties of geopolymer-stabilized macadam (GSM) at both the micro- and macro-scale by a series of tests, demonstrating that high-Ca GSM is a high-quality material for pavement base layers. The results demonstrated that GSM exhibits outstanding mechanical and fatigue properties, significantly surpassing those of cement-stabilized macadam (CSM). Performance improvements were particularly notable with higher binder-to-aggregate ratios. GSM derived from a high-Ca precursor achieved a relatively higher fatigue life and resistance to permanent deformation under cyclic loading, outperforming CSM. Furthermore, relationship models developed from the indirect tensile fatigue test results provide a valuable framework for evaluating GSM’s long-term road performance. Microstructural analyses revealed that geopolymer features a reticulated gel structure and a denser, more continuous internal matrix, which contribute to its superior properties. The interface products of GSM, including C–A–S–H gel and C(N)–A–S–H gel, enhance mechanical interlocking and promote early strength development, accounting for its exceptional mechanical strength and fatigue resistance. These findings offer valuable insights and technical guidance for employing geopolymer as a sustainable and effective alternative to cement-stabilized macadam in base layer construction. Full article

While large language models (LLMs) are vital for retrieving relevant information from extensive knowledge bases, they always face challenges, including high costs and issues of credibility. Here, we developed a question answering system focused on human health risk using Retrieval-Augmented Generation (RAG). We first proposed a framework to generate question–answer pairs, resulting in 300 high-quality pairs across six subfields. Subsequently, we created both a Naive RAG and an Advanced RAG-based Question-Answering (Q&A) system. Performance evaluation of the 300 question–answer pairs in individual research subfields demonstrated that the Advanced RAG outperformed traditional LLMs (including ChatGPT and ChatGLM) and Naive RAG. Finally, we integrated the developed module for a single subfield to launch a multi-knowledge base question answering system. Our study represents a novel application of RAG technology and LLMs to optimize knowledge retrieval methods in human health risk assessment. Full article

Background: Intraoperative ultrasound (ioUS) provides real-time imaging during neurosurgical procedures, with advantages such as portability and cost-effectiveness. Accurate tumor segmentation has the potential to substantially enhance the interpretability of ioUS images; however, its implementation is limited by persistent challenges, including noise, artifacts, and anatomical variability. This study aims to develop a convolutional neural network (CNN) model for glioma segmentation in ioUS images via a multicenter dataset. Methods: We retrospectively collected data from the BraTioUS and ReMIND datasets, including histologically confirmed gliomas with high-quality B-mode images. For each patient, the tumor was manually segmented on the 2D slice with its largest diameter. A CNN was trained using the nnU-Net framework. The dataset was stratified by center and divided into training (70%) and testing (30%) subsets, with external validation performed on two independent cohorts: the RESECT-SEG database and the Imperial College NHS Trust London cohort. Performance was evaluated using metrics such as the Dice similarity coefficient (DSC), average symmetric surface distance (ASSD), and 95th percentile Hausdorff distance (HD95). Results: The training cohort consisted of 197 subjects, 56 of whom were in the hold-out testing set and 53 in the external validation cohort. In the hold-out testing set, the model achieved a median DSC of 0.90, ASSD of 8.51, and HD95 of 29.08. On external validation, the model achieved a DSC of 0.65, ASSD of 14.14, and HD95 of 44.02 on the RESECT-SEG database and a DSC of 0.93, ASSD of 8.58, and HD95 of 28.81 on the Imperial-NHS cohort. Conclusions: This study supports the feasibility of CNN-based glioma segmentation in ioUS across multiple centers. Future work should enhance segmentation detail and explore real-time clinical implementation, potentially expanding ioUS’s role in neurosurgical resection. Full article

Regional development represents a pivotal component in advancing the Chinese path to modernization. The pace of modernization is intrinsically linked to the effectiveness of regional development strategies. In this context, the innovative evaluation of regional development assumes critical importance. Understanding the status and dynamics of regional development offers valuable insights into the progress of Chinese-style modernization. This study, grounded in a scientific interpretation of the concept and distinctive characteristics of Chinese-style modernization, proposes an enhanced regional development evaluation indicator system within this conceptual framework. By employing dynamic comprehensive evaluation and gravitational models, this study examines the regional modernization process in China from 2012 to 2021, exploring development patterns and inter-regional relationships. The findings reveal that regional modernization has evolved into four distinct types of agglomerated areas, with a strong correlation observed between regional development patterns and geographic location. Based on these findings, targeted recommendations for optimizing regional development are provided. Full article

Defatting dehulled hemp seeds is a crucial step prior to protein extraction. However, conventional methods rely on flammable solvents, posing significant health, safety, and environmental concerns. Additionally, hemp protein has poor extractability, challenging functionality, and flavor limitations, restricting its broader application in foods. Accordingly, a two-phase natural deep eutectic solvent (NADES)-assisted extraction was evaluated as a solvent-free alternative for co-extracting protein and oil from full-fat hemp flour. In comparison to the reference hemp protein isolate (R-HPI), produced from hexane-defatted flour following conventional alkaline extraction, NADES-extracted hemp protein isolate (N-HPI) had significantly higher protein extraction yield and purity. N-HPI exhibited enhanced surface charge, lower hydrophobicity, and thus higher solubility at an acidic pH compared to R-HPI. N-HPI had a higher abundance of edestin and lower levels of vicilin-like proteins, which contributed to superior gelation compared to R-HPI. N-HPI, compared to R-HPI, contained lower levels of lipid-derived off-flavor compounds, such as aldehydes, alcohols, and ketones. These findings highlighted, for the first time, the potential of a two-phase NADES-assisted extraction as a sustainable alternate and effective process for producing high-quality, functional hemp protein. The development of such a green process is an impetus for broadening the applications of hemp protein in food systems. Full article

Two different produced and packaged commercial typologies of pomegranate juice were analyzed for their physicochemical, nutritional, and biological properties. The effects of classical pasteurization (PJ) and high-pressure processing (HP), applied during the productive cycle, were evaluated through several advanced analytical methods, such as CIEL*a*b* colorimetry, HPLC-DAD, DI-ESI-MS and MS/MS, and NMR analyses. Moreover, the exerted biological activity of the two pomegranate juices was monitored through Total Phenolic and Total Flavonoid Contents, antiradical, antioxidant and chelating activity. The potential inhibition of key enzymes of degenerative processes (cholinesterases, tyrosinase) and diabetes (amylase, glucosidase), the allelopathy toward Cichorium intybus, Dicondra repens, and Diplotaxis tenuifolia, and the in vivo toxicity on brine shrimp were also evaluated. The two different applied processing techniques analyzed impacted the bioactive compound’s preservation differently, modifying the phytocomplex profile. HP significantly degrades punicalins and punicalagins, better preserving anthocyanins, if compared to PJ’s impact. Sensory qualities, antioxidant activity, enzymatic inhibition, and ecotoxicological potential were differently impacted by the two applied processes. The obtained results can be beneficial for finding the optimal processing conditions that balance microbial safety with nutritional value preservation, contributing to the development of healthy pomegranate juice products. Full article

Background and Objective: Approximately 7.4% of the German population matched the criteria of impeding, chronic non-cancer-related pain in 2014. Guidelines emphasize the importance of a holistic treatment approach. The project RELIEF aims to develop and evaluate a multifaceted case-management intervention to foster the holistic management of chronic pain in general practice. To inform intervention development, this study explored expectations and perceived role models of general practitioners (GP) and patients regarding chronic non-cancer-related pain management in general practice with a focus on patient expectations of GPs and themselves, as well as GP expectations of patients and their anticipation of patient’s expectations. Methods: Data were collected via semi-structured guide-based interviews with general practitioners and patients. Pseudonymized verbatim transcripts were analyzed using an inductive–deductive approach with a structuring qualitative content analysis. The Theoretical Domains Framework served as an analytical framework to explore behavioral aspects associated with expectations and role perceptions. Results:n = 25 interviews were analyzed (GP: n = 10, patient: n = 15). Findings indicate that patients considered themselves as the main actor in the therapy process yet expected guidance and care coordination from their GP. The essential role GPs play in pain management was emphasized. Role models indicated by GPs and some patients represent a care ideal, which was also reflected in discussed expectations. GPs anticipated that patients would place high relevance on pharmacological options. Patients highlighted their preference of non-pharmacological and alternative treatment options. Conclusions: Our findings demonstrate the importance of holistic, individually tailored chronic pain management in general practice. Systematic, multifaceted case management, as planned in the RELIEF project, may contribute to high-quality primary care for affected individuals. Full article

Papaya (Carica papaya L.) is a highly nutritious fruit crop cultivated commercially in the tropical and subtropical regions of the world. Being a shallow rooted fruit crop, it requires frequent application of nutrients. Papaya is highly remunerative due to its high productivity and responds positively to nutrient application. Papaya Ring Spot Virus (PRSV) is a major threat to papaya production, which causes severe yield loss and reduces fruit quality. To combat PRSV and enhance productivity, a nutrient formulation was developed by combining organic, inorganic nutrient sources with biocontrol agents to improve the health and vigor of the plants. Experiments were conducted to standardize the application time and evaluate the efficacy of nutrient formulation in enhancing yield, and to combat papaya ring spot virus (PRSV) incidence in papaya from January 2021 to December 2023 at Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. The results revealed that foliar application of nutrient formulation at monthly intervals from the 3rd to the 7th month after planting (MAP) along with regular application of recommended dose of fertilizers (RDF) at bimonthly intervals from the 3rd MAP significantly increased the yield (37.79% and 30.57% in TNAU Papaya CO 8 and Red Lady, respectively) and reduced PRSV disease incidence (22.49% in TNAU Papaya CO 8 and 16.53% in Red Lady). Metabolomics study indicates that foliar spray of nutrient formulation enhanced the activators and precursors of defense enzymes, viz., peroxidase (PO), polyphenol oxidase (PPO), phenyl ammonia lyase (PAL), catalase (CAT) and nitrate reductase (NRase) in the sprayed plants over unsprayed control. Therefore, the sprayed plants exhibited tolerance to PRSV incidence by maintaining vigor and induced systemic resistance by the defense enzymes. Full article

Background/Objectives: Janus kinase inhibitors open new horizons for small-molecule drugs in treating inflammatory bowel disease, with ritlecitinib demonstrating significant efficacy in clinical trials for ulcerative colitis and Crohn’s disease. Ritlecitinib, a second-generation JAK3 inhibitor, is a novel therapeutic agent for alopecia areata and other autoimmune conditions. Methods: A new stability-indicating UHPLC-DAD-MS/MS method was developed, validated, and applied for a forced degradation study of ritlecitinib under ICH guidelines. Results: The method demonstrated high specificity, sensitivity (LOD: 0.04 µg/mL; LOQ: 0.14 µg/mL), precision (RSD ≤ 0.15%), and accuracy (99.9–100.3%). Forced degradation studies under acidic, basic, oxidative, thermal, and photolytic conditions revealed four novel degradation products. Basic degradation followed second-order kinetics, while oxidative degradation followed zero-order kinetics. Conclusions: The validated method reliably characterized ritlecitinib’s stability and degradation products, providing essential data for optimizing formulation, determining proper storage conditions, anticipating drug–excipient interactions, and ensuring quality control. The eco-friendliness and applicability of the developed forced degradation procedure were evaluated using various green and blue metric tools. Incorporating green analytical principles underscores its potential for sustainable pharmaceutical analysis. Full article

Background: Rapid socio-economic developments confront China with a rising consumption of ultra-processed foods (UPFs) and ultra-processed drinks (UPDs). This study aims to evaluate their potential impact on diet transformation towards sustainability including nutrition, environmental sustainability, and diet-related cost. Methods: Dietary intake was assessed by 24 h recalls in 27,311 participants (age: 40.5 ± 19.7; female, 51.1%) in the China Health and Nutrition Survey 1997–2011. The nutrient quality, environmental sustainability (greenhouse gas emission (GHGE), total water use (TWU), land use (LU), and diet cost were assessed as diet-related sustainability indicators. Foods and drinks were classified according to the degree of processing based on NOVA. Two-level mixed effects models were applied to explore the secular trends of the sustainability indicators being nested within random effect (individual level). Results: UPFs and UPDs are less nutrient-dense, containing more energy, sodium, and added sugar compared to unprocessed or minimally processed foods and drinks (MPFs and MPDs). UPFs and UPDs were higher for GHGE and TWU but lower for LU. Costs of UPDs tripled those of MPDs. In the period of 1997–2011, the percentage of UPFs and UPDs per 2000 kcal increased for both sexes. The increase in UPFs and UPDs was associated with a lower nutrient quality but a higher environmental impact and diet cost. Conclusions: From 1997 to 2011, there was a significant increase in the consumption of UPFs and UPDs in China. This trend had negative impacts on both the nutrient quality and environmental impact; meanwhile, it led to increased diet costs. Policies to reduce the production and consumption of UPFs and UPDs should be reinforced by making alternatives for ultra-processed breakfast cereals, snacks, and alcoholic beverages available and acceptable. Additionally, instead of only focusing on high-UPFD consumers, attention is needed on the currently low-UPFD consumers as their consumption has been growing rapidly in the last decades. Full article

Background: Frailty is a geriatric syndrome of significant public health concern that causes vulnerability to physiologic stressors and an increased risk of mortality and hospitalizations. Dietary intake and quality are contributing factors to the development of frailty. The Mediterranean diet is known to be one of the healthiest eating patterns with promising health impacts for prevention. We evaluated the association between Mediterranean diet patterns and frailty status. Methods: We conducted a cross-sectional study using National Health and Nutrition Examination Survey data from 2007 to 2017. We included 7300 participants aged > 60 years who completed the first day of a 24 h diet recall and had full covariate data. We constructed an alternate Mediterranean diet (aMED) score based on the quantity of specific food-group intake and categorized participants to low-, moderate-, and high-adherence groups (aMED adherence scores of 0–2, 3–4, and 5–9, respectively). Using a modified Fried Frailty phenotype (weakness, low physical activity, exhaustion, slow walking speed, and weight loss), participants were categorized as robust (met no criteria), pre-frail (met one or two criteria), and frail (met three or more criteria). Logistic regression evaluated the association of frailty (prefrail/robust as referent) and aMED adherence. Results: Included participants were mainly female (54.5%) and non-Hispanic White (80.0%). The mean (SD) aMED score was 3.6 (1.6) with 45% of participants falling into moderate aMED adherence (26% low adherence, 30% high adherence). Frailty prevalence among participants was 7.1%, with most participants classified as robust (51.0%) or pre-frail (41.9%). Fully adjusted models showed significantly reduced odds of frailty with moderate-adherence and high-adherence groups (odds ratio (95%CI) of 0.71 (0.55, 0.92) and 0.52 (0.36, 0.75), respectively). Conclusions: Mediterranean diet adherence is associated with decreased odds of frailty in older adults. These findings suggest that adherence to a Mediterranean diet may play a critical role in mitigating frailty and its associated conditions. Future research should include longitudinal and interventional studies that can definitively determine the effect of a Mediterranean diet on frailty and what food components provide the greatest benefit. Full article

The image quality index for whole-body bone scintigraphy has traditionally relied on the total count (Total-C) with a threshold of ≥1.5 million counts (MC). However, Total-C measurements are susceptible to variability owing to urine retention. This study aimed to develop a skeletal count (Skel-C)-based index, focusing exclusively on bone regions, to improve the accuracy of image analysis in bone scintigraphy. To determine the optimal Skel-C-based threshold, Skel-C thresholds were set at 0.9, 1.0, 1.1, and 1.2 MC, and Total-C thresholds were set at 1.75, 2.0, and 2.25 MC. Patients were then categorized based on whether their values were above or below these thresholds. The group including all cases was defined as the Total-C 1.5 high group. Sensitivity and specificity were calculated for each group, and receiver operating characteristic analyses and statistical evaluations were conducted. The specificity of the bone scintigraphy image analysis program in the Skel-C < 0.9 MC group was significantly lower than that in the Skel-C ≥ 0.9 MC and Total-C 1.5 high groups. The decrease in specificity was evident only with Skel-C and was not identified based on Total-C levels. These findings highlight the importance of achieving Skel-C ≥ 0.9 MC and suggest that Total-C alone is insufficient for reliable image assessment. Full article

Object detection in images is a fundamental component of many safety-critical systems, such as autonomous driving, video surveillance systems, and robotics. Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. It poses a serious danger in various fields of activity. Existing defense methods against patch attacks are insufficiently effective, which underlines the need to develop new reliable solutions. In this manuscript, we propose a method which helps to increase the robustness of neural network systems to the input adversarial images. The proposed method consists of a Deep Convolutional Neural Network to reconstruct a benign image from the adversarial one; a Calculating Maximum Error block to highlight the mismatches between input and reconstructed images; a Localizing Anomalous Fragments block to extract the anomalous regions using the Isolation Forest algorithm from histograms of images’ fragments; and a Clustering and Processing block to group and evaluate the extracted anomalous regions. The proposed method, based on anomaly localization, demonstrates high resistance to adversarial patch attacks while maintaining the high quality of object detection. The experimental results show that the proposed method is effective in defending against adversarial patch attacks. Using the YOLOv3 algorithm with the proposed defensive method for pedestrian detection in the INRIAPerson dataset under the adversarial attacks, the mAP50 metric reaches 80.97% compared to 46.79% without a defensive method. The results of the research demonstrate that the proposed method is promising for improvement of object detection systems security. Full article

Children are the future of society, and their well-being is vital for sustainable urban development. Chengdu, as the birthplace of the “Park City” concept, has actively integrated child-friendly principles into its urban model. In 2022, the “Implementation Plan for Building a Child-Friendly City in Chengdu” was launched, aiming to establish Chengdu as a leading national model. Since 2023, the city has leveraged its ecological strengths to promote “child-friendly happiness spaces”, providing children with ample recreational and developmental opportunities within its “Park City” framework. Analyzing urban park construction in Chengdu from a child-friendly perspective is significant not only for promoting children’s growth and urban development but also for providing valuable references for the development of child-friendly urban parks. Guided by the concept of “Tour–Art–Learning”, which focuses on creating outdoor recreational spaces suitable for children, this study establishes a quality assessment framework for urban parks from a child-friendly perspective. Based on survey data collected from Chengdu’s Shaheyuan Park using the Photo Elicitation Interview (PEI) method and Geographic Information Systems (GIS) technology, the analytic hierarchy process–fuzzy comprehensive assessment (AHP-FCE) model is applied to evaluate the park’s Tour–Art–Learning quality. The results show that while the park demonstrates high overall quality, there are deficiencies in cultural aesthetics and learning activity carrying capacity and significant room for improvement in site accessibility. This study systematically evaluates the child friendliness of Shaheyuan Park and proposes strategies for improving its Tour–Art–Learning quality, offering new theoretical perspectives and practical pathways for urban park construction and the development of child-friendly cities. Full article

Lakes are vital freshwater ecosystems that sustain biodiversity, support livelihoods, and drive socio-economic growth globally. However, they face escalating threats from anthropogenic activities, including urbanization, agricultural runoff, and pollution, which are exacerbated by climate change. Phewa Lake in Nepal was selected for this study due to its increasing rates of nutrient enrichment, sedimentation, and pollution. This study evaluated seasonal and spatial water quality variations within the lake by analyzing water samples from 30 sites during the pre-monsoon and post-monsoon seasons. Twenty physicochemical parameters, including the potential of hydrogen (pH), dissolved oxygen (DO), electrical conductivity (EC), and major ions, e.g., calcium (Ca²⁺), magnesium (Mg²⁺), sodium (Na⁺), potassium (K⁺), bicarbonate (HCO₃⁻), chloride (Cl⁻), sulfate (SO₄²⁻), nitrate (NO₃⁻), phosphate (PO₄³⁻), and ammonium (NH₄⁺), were measured. The average pH ranged from 8.06 (pre-monsoon) to 8.24 (post-monsoon), reflecting dilution from monsoon rains and increased carbonate runoff. Furthermore, the DO levels in Phewa Lake averaged 7.46 mg/L (pre-monsoon) and 8.62 mg/L (post-monsoon), with higher values observed post-monsoon due to rainfall-driven oxygenation. Nutrient concentrations were shown to be elevated, with the nitrate concentration reaching 2.31 mg/L during the pre-monsoon period, and the phosphate concentration peaking at 0.15 mg/L in the post-monsoon period, particularly near agricultural runoff zones. The dominant cations in the lake’s hydrochemistry were Ca²⁺ and Mg²⁺, while HCO₃⁻ was the primary anion, reflecting the influence of carbonate weathering. Cluster analysis identified the lake outlet as a high-pollution zone, with the total dissolved solids (TDS) reaching 108–135 mg/L. Additionally, Principal component analysis revealed agricultural runoff and sewage effluents as the main pollution sources. Seasonal dynamics highlighted monsoon-induced dilution and pre-monsoon pollution peaks. These findings underscore the need for targeted pollution control and eutrophication management. By aligning with the sustainable development goals (SDGs) relevant to clean water and climate action, this research provides a replicable framework for sustainable lake management that is applicable to freshwater ecosystems worldwide. Full article