Rapid Assessment Research Articles

Mepacrine Flow Cytometry Assay for the Diagnosis of Platelet δ-granule Defects: Literature Review on Methods-Towards a Shared Detailed Protocol.

Accurate assessment of platelet secretion is essential for the diagnosis of inherited or acquired platelet function disorders and more specifically in identifying δ-storage pool disease. Mepacrine, a fluorescent dye, specifically accumulates in platelet δ-granules. The mepacrine flow cytometry (mepacrine FCM) assay has been used for more than half a century in the clinical laboratory as a diagnostic tool for platelet δ-granule disorders. The assay requires a small volume of blood, can be performed in thrombocytopenic patients, provides rapid assessment of δ-granule content and secretion, and, thus, enables differentiation between storage and release defects. There is however a broad heterogeneity in methods, reagents, and equipment used. Lack of standardization and limited data on analytical and clinical performances have led the 2022 ISTH SSC (International Society on Thrombosis and Haemostasis Scientific and Standardization Committee) Subcommittee on Platelet Physiology expert consensus to rate this assay as simple but of uncertain value. Yet, the data used by experts to formulate the recommendations were not discussed and even not mentioned. Guidance for laboratory studies of platelet secretion assay would be very helpful for clinical laboratories and health authorities especially considering the implications of the new In Vitro Diagnostic Regulation in Europe. The purpose of the present work was to review the reported methodologies for the mepacrine FCM assay and to offer an example of detailed protocol. This would help standardization and pave the way for more rigorous comparative studies.

Risk Factors for Developing Occupational Back Pain in Electronics Industry Workers: A Cross-Sectional Study

Back pain is an occupation-related problem among workforces. This cross-sectional study aimed to identify the prevalence of back pain and the risk factors of occupational back pain among workers in the electronics industry. In total, 354 electronics workers in Thailand participated in the study. Data were collected using the Musculoskeletal Disorders Severity and Frequency Questionnaire, the Job Content Questionnaire, and ergonomics risk assessment via the Rapid Upper Limb Assessment (RULA). Risk factors of back pain were identified by multiple logistic regression analysis, providing adjusted odds ratios (ORadj) and 95% confidence intervals (95% CI). The study found that most workers were operators (92.09%) and had repetitive work (83.62%). A high ergonomics risk was observed in workers who stood during work (68.49%) and operated machines (71.70%). The 1-month prevalence of developing back pain was 20.62% and the significant factors correlated with back pain were low levels of job control and decision-making (ORadj = 2.26; 95% CI [1.26 ,4.05]), lack of exercise (ORadj = 8.30; 95% CI [1.35, 24.28]), repetitive work (ORadj = 2.94; 95% CI [1.19, 7.29]), and high ergonomic risk level (ORadj = 2.81; 95% CI [1.16, 5.07]). These findings suggest that measures should be implemented by empowering electronics workers to make decisions and control their jobs, as well as promoting health through muscle-stretching exercise, to support back pain prevention.

Utility of the TG/HDL-C Ratio in Estimating Pediatric Cardiometabolic Risk in a Community Hospital

Background: The evaluation of metabolic syndrome (MetS) is critical among children and adolescents as it can predict cardiovascular disease in adulthood. The TG/HDL-C ratio has the best predictive accuracy among the different lipid ratios. This study aims to evaluate the prevalence and factors associated with a high TG/HDL-C ratio and the predictive accuracy for pediatric MetS. Methods: This is a cross-sectional study of adolescents aged 9–21 to determine the prevalence of and associations between an elevated TG/HDL-C ratio and MetS. A ROC curve analysis was performed to determine the predictive accuracy of TG/HDL-C with MetS. Results: Of the 604 subjects, 29.8% had elevated TG/HDL-C, MetS was identified in 28.2%, and 54.5% were obese. Among patients with MetS, those with obesity were more likely to have an elevated TG/HDL-C ratio compared to those with a normal BMI (64% vs. 14%, p < 0.05). Gender, obesity, ethnicity, and METS are significantly associated with a high TG/HDL-C ratio. TG/HDL-C has a good discriminatory ability to distinguish patients with MetS from those without (AUC 0.65, p < 0.05). Conclusions: The TG/HDL-C ratio was able to distinguish between children and adolescents with MetS. Hence, the TG/HDL-C ratio may be used in the rapid risk assessment of pediatric MetS, especially in those with obesity.

Dadnet: dual-attention detection network for crack segmentation on tomb murals

Many tomb murals have punctate losses, cracks, and craquelure due to underground subsidence and changes in their physical support. Visual non-destructive detection techniques enable rapid assessment of how much tomb murals are affected by cracking, providing suggestions for their conservation. However, tomb murals are typically created by sketching outlines and then colored. Detailed sketches can easily interfere with crack detection work, requiring the use of deep learning network to better learn crack features and improve detection accuracy. At the same time the limited data of tomb mural presents a challenge to build a deep learning network. To address these issues, this paper introduces a novel dual-attention detection network (DADNet) for crack segmentation of tomb murals. In this work, a customized dataset is first constructed by collecting mural images from the Tang Dynasty tombs. Then the ConvNeXt framework serves as the basis for feature extraction, enhancing the process. Lastly, a dual-attention module utilizing neighborhood attention and biaxial attention is employed to accurately identify the crack regions. Neighborhood attention performs a local self-attention operation around the pixel point, addressing the limitations of self-attention. This approach significantly reduces computational demands as the image size increases. Biaxial attention performs attention calculations in the horizontal and vertical directions. This compensates for the limitation of neighborhood attention in capturing global dependencies. Our DADNet outperformed the competing methods, achieving the highest recorded scores of 78.95% for MIoU and 61.05% for the Jaccard index.

Use of Biomarkers in Nutrition Intervention Studies of Children: A Scoping Review.

Obesity in youth is an increasingly prevalent public health concern worldwide. Lifestyle interventions aim to help participants establish healthy habits and reduce obesity-related disease risk by targeting physical activity and dietary habits. Most studies assess weight loss, but biomarkers may enable more rapid and comprehensive assessment of intervention success. This scoping review aims to synthesize the published literature on which biomarkers are assessed during interventions for pediatric obesity to inform future use. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A literature search of five databases conducted in February 2022 returned 1579 unique and relevant articles published between 2006 and 2021. After screening titles, abstracts, and full text, four reviewers determined that 43 studies met eligibility requirements. Quality screening was conducted, and 97.7% of papers were of fair or good quality. Of the 43 studies, 47% reported measures of adipose-related signaling molecules inclusive of adipokines, 74% included insulin-related biomarkers, 63% reported lipid-related biomarkers, 40% reported proinflammatory cytokine biomarkers, 12% reported measures of skin and/or plasma carotenoids, 40% measured blood pressure, and 21% included liver enzymes. Sixty-seven percent of studies measured biomarkers in whole blood, 40% measured biomarkers in plasma, 56% measured biomarkers in serum, and 2% measured biomarkers in urine. This work summarizes the current use of biomarkers in lifestyle intervention studies enrolling children. These biomarkers could be clinically relevant for pediatric weight management interventions.

Rapid Urban-Scale Building Collapse Assessment Based on Nonlinear Dynamic Analysis and Earthquake Observations

Rapid damage assessment after an earthquake is crucial for allocating and prioritizing emergency actions. Building damage due to an earthquake depends on the seismic hazard and the building’s strength. While it is now possible to promptly access acceleration data as seismic input through online strong motion networks in urban areas, good models are necessary to evaluate the damage in different zones of the affected area. This study aims to present a rapid method for such an urban-scale building collapse evaluation by conducting a nonlinear dynamic analysis of modeled buildings. Based on the Nagato and Kawase model, this study estimates the yield shear strength of 3-story steel buildings, 3-story reinforced concrete buildings, and 1-story masonry buildings in Sarpol-e-Zahab City after the 2017 Mw7.3 earthquake. The damage ratio is calculated through nonlinear dynamic analyses using estimated records from the main earthquake shock in different city zones. The research found that the seismic yield shear strength of steel and reinforced concrete buildings might be weaker than that of the Iranian seismic code’s standard value. Conversely, masonry-building resistance is stronger than the guidelines assumed. The constructed numerical models can be used for the rapid building damage assessment immediately after a damaging earthquake.

Low cost fabrication of continuous flow optofluidic microreactor for efficient dye degradation using graphene QDs@MOF (Ti) photocatalyst

The optofluidic microreactor, a convergence of optics and microfluidics, offers advanced functionalities that can be pivotal in the rapid assessment of nanocatalysts for tackling environmental contamination issues. This article presents an efficient approach for degrading Methylene blue (MB) dye, commonly used in the textile industry, within a cost-effective polydimethylsiloxane (PDMS) based continuous flow optofluidic microreactor. This microreactor combines graphene quantum dots (QDs) and NH2-MIL-125 (MOF(Ti)) as a highly effective photocatalyst coating within its microchannels. By directly incorporating graphene QDs@MOF(Ti) into the microchannels, the photocatalytic medium is brought into close proximity with the flowing MB dye solutions, thereby reducing the necessary interaction time and enhancing purification efficiency. Furthermore, the findings demonstrate an impressive degradation efficiency of ∼99% for MB dye at a flow rate of 50 μL min−1 under visible light irradiation, achieved in a single pass. Additionally, the microfluidic reactor exhibits prolonged stability of the photocatalyst, enabling its reuse without significant efficiency loss. In addition, a comparative analysis highlights the advantages of microreactor-based photocatalysis over traditional methods. These advancements in the features of the graphene QDs@MOF(Ti) nanocomposite substantiate their demonstrated superiority in degradation efficiency.

A replication and development of the Short Cognitive Mediation Beliefs Questionnaire (CMBQ-S).

The Cognitive Mediation Beliefs Questionnaire is a 15-item tool that assesses individuals' emotion beliefs about the cognitive mediation of emotions. It measures two emotion beliefs: stimulus-response generation beliefs and cognitive mediation change beliefs. This study aimed to reduce the number of items and test the validity of a briefer version of the Cognitive Mediation Beliefs Questionnaire. We combined data from 13 unpublished data sets collected between 2019 and 2023 and reached a final sample of 2,872 participants. While this data set is relatively large and diverse (e.g., participants from 53 nationalities), most were from developed countries, and the data were not fully representative across demographic characteristics, such as age and ethnicity. The data were randomly split by 50%/25%/25% (60%/40% female/male) to conduct one exploratory factor analysis and two confirmatory factor analyses. Using an iterative process in the exploratory factor analysis, seven items were deleted for failing to meet item retention criteria, resulting in an eight-item solution across two factors. Across two confirmatory factor analyses with independent samples, the eight-item and the 15-item solutions were tested. The eight-item model was superior in terms of model fit in both samples. These results were in line with our hypothesis in that an eight-item Short Cognitive Mediation Beliefs Questionnaire confirmed the validity of the two-factor structure. The present study offers a valid and efficient measure of emotion beliefs that can be used to make a rapid assessment of beliefs about emotions and to support clinical interventions, particularly cognitive behavioral therapy approaches, where cognitive change is fundamental. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Control Analysis of Building Under Construction from Indoor Mobile Mapping Systems

Abstract. During the execution phase of construction projects, quality defects arise due to various factors such as human intervention, technical aspects, logistical issues and environmental influences. Early detection of these defects is imperative to minimize their impact and prevent possible delays, increased costs and safety hazards. This paper explores the effectiveness of indoor mobile laser scanners for geometric quality control, adhering to established European technical norms and Spanish standards. Our developed approach presents a simple method for rapid assessment, capable of identifying vertical deviations in columns and walls, axis deviation in columns, flatness deviation in horizontal planes and level deviation using LIDAR data from Mobile Mapping Systems. This methodology has been validated through a real-world case study, demonstrating its practical applicability.

Relationship between Physical Activity, Physical Literacy Elements, and Gender among Senior Students

The aim of research is to assess the relationship between physical activity, Physical Literacy (PL) and gender among senior students. The research was conducted in 2022 in Lithuania with five city schools. Research participants were selected using a convenience sampling method: grade 10 to 12 (n=287) students 148 boys and 139 girls. A questionnaire survey was used for data collection: Portuguese Physical Literacy Questionnaire for Adolescents (PPLA-Q) to assess the psychological domain of PL (motivation, self-confidence, emotional and physical regulation); Rapid Assessment of Physical Activity (RAPA) Questionnaire - RAPA1 part, which allows to assess the level of physical activity. After analysing the psychological aspects of PL related to physical activity by gender, the obtained results suggest that boys’ motivation for physical activity, self-confidence, emotional stability, assessment of physical limits score higher compared to the group of girls (p<0.01). PA motivation has a strong positive correlation with self-confidence (p<0.01) and a moderate correlation with physical regulation (p<0.01). Physical regulation has statistically significantly correlated with self-confidence (p<0.01) and better emotional regulation (p<0.01). Statistically significant differences by gender were found with all indicators of the psychological domain: PA motivation, self-confidence, emotional regulation, and physical regulation. Mean ranks of boys were higher in all variables; however, the major differences were found in the areas of self-confidence and physical regulation. PA had a direct correlation with all psychological PL elements (PA motivation, self-confidence, emotional regulation, physical regulation) and an inverse correlation with gender.

Comparison of intravenous nalbuphine and dexmedetomidine in combination with lidocaine aerosol inhalation in awake direct laryngoscopy: a randomized, double-blind, placebo-controlled trial

BackgroundThe airway should be thoroughly and accurately evaluated before anesthesia induction and endotracheal intubation. Awake direct laryngoscopy (ADL) can provide rapid, accurate, and intuitive airway assessment, especially for suspected difficult airways, and sometimes eliminates the need for fiberoptic intubation in some suspicious difficult airway cases. However, an optimal regimen has not been determined.MethodsIn this double-blind, controlled study, prior to ADL, 60 patients scheduled for general anesthesia were randomly allocated to receive 0.75 μg/kg of dexmedetomidine (Dex group, n = 20), 0.15 mg/kg of nalbuphine (Nal group, n = 20), or a placebo (control group, n = 20) intravenously over 10 min. At the same time, all study subjects received nebulized lidocaine for 15 min. The primary outcome was patient tolerance as assessed by a 5-point ADL comfort score, while secondary outcomes included satisfaction, coughing, pain, nausea and vital signs.ResultsPatients undergoing ADL in the Nal group had higher tolerance scores than those in the control and Dex groups [4 (3,4) vs. 3 (2,2.75), P < 0.017, and 4 (3,4) vs. 2 (2,2,75), P < 0.001, respectively] and higher satisfaction [7 (6,8) vs. 4 (3,5.75), P < 0.017, and 7 (6,8) vs. 5.5 (5,6), P < 0.001, respectively]. Additionally, the Nal group had significantly fewer adverse events, such as pain and nausea than the control and Dex groups. The sedation score and peripheral oxygen and saturation were significantly higher in the Nal group than in the Dex group, with no difference between the Nal and control groups (P < 0.001, P = 0.159, respectively).ConclusionsIntravenous nalbuphine in combination with lidocaine aerosol inhalation significantly improved patient tolerance and satisfaction while reducing nausea, coughing, pain, sedation, and SpO2 levels during ADL.

Flow Cytometry for Non-Hodgkin and Hodgkin Lymphomas.

Multiparametric flow cytometry is a powerful diagnostic tool that permits rapid assessment of cellular antigen expression to quickly provide immunophenotypic information suitable for disease classification. This chapter describes a general approach for the identification of abnormal lymphoid populations by flow cytometry, including B, T, NK, and Hodgkin lymphoma cells suitable for the clinical and research environment. Knowledge of the common patterns of antigen expression of normal lymphoid cells is critical to permit identification of abnormal populations at disease presentation and for minimal residual disease assessment. We highlight an overview of procedures for processing and immunophenotyping non-Hodgkin B- and T-cell lymphomas and also describe our strategy for the sensitive and specific diagnosis of classic Hodgkin lymphoma, nodular lymphocyte predominant Hodgkin lymphoma, and T-cell/histiocyte-rich large B-cell lymphoma.

Versatile Dual Reporter to Identify Ribosome Pausing Motifs Alleviated by Translation Elongation Factor P.

Protein synthesis is influenced by the chemical and structural properties of the amino acids incorporated into the polypeptide chain. Motifs containing consecutive prolines can slow the translation speed and cause ribosome stalling. Translation elongation factor P (EF-P) facilitates peptide bond formation in these motifs, thereby alleviating stalled ribosomes and restoring the regular translational speed. Ribosome pausing at various polyproline motifs has been intensively studied using a range of sophisticated techniques, including ribosome profiling, proteomics, and in vivo screening, with reporters incorporated into the chromosome. However, the full spectrum of motifs that cause translational pausing in Escherichia coli has not yet been identified. Here, we describe a plasmid-based dual reporter for rapid assessment of pausing motifs. This reporter contains two coupled genes encoding mScarlet-I and chloramphenicol acetyltransferase to screen motif libraries based on both bacterial fluorescence and survival. In combination with a diprolyl motif library, we used this reporter to reveal motifs of different pausing strengths in an E. coli strain lacking efp. Subsequently, we used the reporter for a high-throughput screen of four motif libraries, with and without prolines at different positions, sorted by fluorescence-associated cell sorting (FACS) and identify new motifs that influence the translational efficiency of the fluorophore. Our study provides an in vivo platform for rapid screening of amino acid motifs that affect translational efficiencies.

Feasibility of Emergency Flood Traffic Road Damage Assessment by Integrating Remote Sensing Images and Social Media Information

In the context of global climate change, the frequency of sudden natural disasters is increasing. Assessing traffic road damage post-disaster is crucial for emergency decision-making and disaster management. Traditional ground observation methods for evaluating traffic road damage are limited by the timeliness and coverage of data updates. Relying solely on these methods does not adequately support rapid assessment and emergency management during extreme natural disasters. Social media, a major source of big data, can effectively address these limitations by providing more timely and comprehensive disaster information. Motivated by this, we utilized multi-source heterogeneous data to assess the damage to traffic roads under extreme conditions and established a new framework for evaluating traffic roads in cities prone to flood disasters caused by rainstorms. The approach involves several steps: First, the surface area affected by precipitation is extracted using a threshold method constrained by confidence intervals derived from microwave remote sensing images. Second, disaster information is collected from the Sina Weibo platform, where social media information is screened and cleaned. A quantification table for road traffic loss assessment was defined, and a social media disaster information classification model combining text convolutional neural networks and attention mechanisms (TextCNN-Attention disaster information classification) was proposed. Finally, traffic road information on social media is matched with basic geographic data, the classification of traffic road disaster risk levels is visualized, and the assessment of traffic road disaster levels is completed based on multi-source heterogeneous data. Using the “7.20” rainstorm event in Henan Province as an example, this research categorizes the disaster’s impact on traffic roads into five levels—particularly severe, severe, moderate, mild, and minimal—as derived from remote sensing image monitoring and social media information analysis. The evaluation framework for flood disaster traffic roads based on multi-source heterogeneous data provides important data support and methodological support for enhancing disaster management capabilities and systems.

Food retailer actions toward the National Strategy on Hunger, Nutrition, and Health to promote nutrition security: Applicability of the Business Impact Assessment-Obesity as a monitoring tool.

The White House National Strategy on Hunger, Nutrition, and Health (National Strategy) encourages actions across government and society to promote nutrition security. Nutrition security includes adequate food, diet quality, and equity, and food retail settings can promote these major concepts. Of all National Strategy whole-of-society calls to action, food retailers can contribute to 15 calls as key actors. However, there is currently no standardized monitoring tool to track food retailers' commitments and actions toward the National Strategy to promote nutrition security. The Business Impact Assessment-Obesity and population-level nutrition (BIA-Obesity), a tool originally developed for corporate accountability monitoring, can be tailored for the National Strategy and nutrition security, given its standardized indicators and process to assess food company policies and commitments across six domains. We discuss the fit of the BIA-Obesity indicators for tracking food retailers' commitments and actions across four pillars of the National Strategy. Existing indicators are appropriate to monitor components of Pillar 1: Improve Food Access and Affordability; Pillar 2: Integrate Nutrition and Health; Pillar 3: Empower All Consumers to Make and Have Access to Healthy Choices; and Pillar 5: Enhance Nutrition and Food Security Research. We suggest expanding current indicators to include equity, local foods, the digital food environment, and food waste reduction to improve alignment of the BIA-Obesity with the National Strategy. Application of the BIA-Obesity as an existing tool can facilitate data cohesion and more rapid assessment of the food retailer landscape to mutually meet nutrition security goals by 2030.

Rapid Assessment of Morphological Asymmetries Using 3D Body Scanner and Bioelectrical Impedance Technologies in Sports: A Case of Comparative Analysis Among Age Groups in Judo

(1) Background: The advancement of technologies has made morphological assessment rapid and reliable. A combination of 3D body scanning (3D-BS) and bioelectrical impedance (BIA) could be essential in monitoring the morphological status of athletes and the general population and their symmetries for coaches, researchers and medical professionals. (2) Methods: The current study presents the use of Inbody-720 BIA and 3D-BS NX-16 for analyzing the asymmetry profile of an athlete in 2 min on a sample of 106 male judo competitors from the following age categories: older boys—U14 (N = 24), younger cadets—U16 (N = 31), cadets—U18 (N = 17), juniors—U21 (N = 19) and seniors (N = 15). Variables observed were arm lean mass, upper arm, elbow, forearm and wrist girth, leg lean mass, thigh length, thigh, knee and calf girth. The paired sample t-test, asymmetry index (AI) and Kruskal–Wallis analysis were used at p ≤ 0.05; (3) Results: Morphological asymmetries were detected in all age categories: seniors—three, U21—four, U18—three, U16—five and U14—four. The most common asymmetrical variable in all categories was the forearm girth, while thigh length, knee girth and upper arm girth presented symmetrical variables in all age categories. AI showed that the size of the asymmetries did not differentiate between the age groups. (4) Conclusions: The current study demonstrated great potential for combining BIA and 3D-BS for rapid asymmetry detection that would allow for monitoring and quick adjustments to the training process in youth to senior age categories.

Rapid assessment of main agronomic indicators in the grain of winter and spring forms of triticale using infrared spectroscopy

Background. Calibration models were developed for rapid assessment of crucial agronomic indicators in the grain of winter and spring triticale from the VIR collection using near-infrared spectroscopy (NIRS). These calibration models will enable users to find the most optimal utilization trends for individual triticale accessions. Materials and methods. Indicators of agronomic value (coloration, moisture, and the content of ash, protein, starch, amylose and fiber) were studied on a set of 32 grain samples collected from winter and spring triticale forms (Triticosecale Wittm. &amp; A. Camus) reproduced in 2021–2022 at the Dagestan Experiment Station, a branch of the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR). Calibration models for the assessment of the said agronomic characters in triticale grain were developed on the platform of the MATRIX-I IR analyzer (Bruker Optics, Germany) and based on the values obtained by classical methods of biochemical analysis adopted at VIR. Results. Reliability of the calibration models was tested on a randomized batch of triticale grain samples: the results of the new calibrations were compared with those of the conventional biochemical analysis. This verification showed that the data obtained through the use of calibration curves were reliable for protein and ash content, while other models required further improvement. Conclusion. Calibration models for measuring protein and ash content developed on the basis of the MATRIX-I IR analyzer can be used to perform rapid assessment of the winter and spring triticale grain. This method makes it possible to accelerate the process of obtaining crop characteristics for a number of basic agronomic characters and preserve valuable breeding material.

The effect of experiential learning on academic achievement of children aged 4–14: A rapid evidence assessment

The effect of experiential learning on academic achievement of children aged 4–14: A rapid evidence assessment

Enhancing Workplace Safety for Disabled Farmers in Thailand: A Quasi-Experimental Study of Ergonomic Interventions in Vermicompost Production

The aim of this study was to improve the working environment for disabled farmers in vermicompost production using participatory action-oriented training (PAOT). Potential hazards were identified through Job Safety Analysis (JSA), and improvements were implemented based on the analysis. The winnowing step was found to have the highest risk, as farmers had to manually separate vermicompost and earthworms by shaking the mixture through a filter. To address this, a vermicompost winnowing machine was developed specifically for disabled farmers, reducing their working time and the risk of muscle injuries. Ergonomic assessments were conducted using Rapid Entire Body Assessment (REBA). The assessments compared the risks associated with the manual process to those when using the newly developed winnowing machine. The results indicated a reduction in musculoskeletal disorder (MSD) risk for all disabled groups. The findings of this study emphasize the importance of considering occupational health and safety for disabled individuals in agriculture. By implementing ergonomic improvements such as redesigned tools and adjusted workstations, the safety and well-being of disabled farmers can be enhanced. This contributes to creating inclusive and productive work environments. In conclusion, through the application of PAOT and ergonomic assessments, this study successfully identified potential hazards and implemented improvements in vermicompost production for disabled farmers. The development of a specialized winnowing machine reduced the risk of musculoskeletal disorders. Promoting occupational health and safety measures is crucial for supporting the participation and well-being of disabled individuals in agricultural work.

Assessment of Emergency Water Sources Using Electrical Resistivity Tomography: A Case Study in the Longmen Shan Fault Zone

The Longmen Shan fold and thrust belt, situated on the eastern margin of the Qinghai–Tibet Plateau, is prone to disasters like earthquakes and debris flows. Thus, applying rapid assessment methods for emergency water sources in disaster-affected areas is crucial for local populations and ensuring an effective response to disasters. In this study, we employed electrical resistivity tomography (ERT) to investigate groundwater resources in post-disaster regions. By integrating the results from ERT profiles with geological and borehole information, we determined the lithology and depth of aquifers. Additionally, we analyzed groundwater recharge and discharge patterns relative to surface water during various precipitation periods and generated a hydrogeological profile for the region. Borehole information confirmed our inferred lithology and aquifer depth, thereby ensuring a reliable water supply during emergencies. This study demonstrates the feasibility of ERT for rapidly identifying water resources in geologically complex environments, providing a scientific foundation for water resource management in disaster-prone regions.