Development of an automated quality control and assay performance management system for biochemical genetics laboratory by P. Tanpaiboon, D. Salazar, M. Pan, L. Xu, R. Sharma

“…Comprehensive off-the-shelf QC management systems optimized for such highly complex assays and platforms are relatively scarce. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…E calculated by DTS was chosen as the target value for prediction. Different machine learning algorithms were selected, optimizing parameters to achieve the best performance for each algorithm. …”
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EPI-DOM approach for comprehensive assessment of integral animal welfare by Rosario Martínez-Yáñez, Patricia Mora-Medina, Pedro J. Albertos-Alpuche

“…Future research should focus on validating and refining EPI-DOM across different species and production environments to optimize welfare and management strategies.…”
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Impact of high-speed rail on intercity technology transfer and its mediating pathways by JIAO Jingjuan, ZHANG Yaolong, DU Delin

“…[Conclusion] HSR exerts a significant impact on intercity technology transfer, with its effects exhibiting heterogeneity in terms of distances, regions, and cities. Different regions should optimize urban transportation infrastructure, train schedules, and the transport network to enhance urban accessibility, thereby maximizing the role of HSR in facilitating intercity technology transfer.…”
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Influence of edible flower inclusion on the nutritional and flavor changes of fermented pear wine by Mingjing Yang, Jintao Wang, Li Li, Qirui Xiong, Xiaofei Li, Xuhong Zhou

“…Additionally, we further analyzed the volatile and non-volatile components of P and PR at different fermentation stages. A significant difference was observed between the non-volatile and volatile metabolites, with pear rose wine (PRW) demonstrating superior characteristics compared with pear wine (PW). …”
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Acute effect of three functional fitness training designs with equalized load on inexperienced and experienced athletes by Alejandro Oliver-López, Adrián García-Valverde, Rafael Sabido

“…These results underscore the importance of individualizing workout selection to expertise level to optimize performance. Future research should explore longitudinal adaptation to different workout types across diverse populations.…”
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Digital economy, consumption structure and rural economic transformation: a case study of China by Yang Liu, Wenjuan Chen, Xu Zhang, Wenmei Liao, Wenmei Liao, Wenmei Liao

“…This study deepens the understanding of the motivation for rural economic transformation and the effects, mechanisms, and regional differences of the digital economy empowering rural economic transformation. …”
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Melt analysis of mismatch amplification mutation assays (Melt-MAMA): a functional study of a cost-effective SNP genotyping assay in bacterial models. by Dawn N Birdsell, Talima Pearson, Erin P Price, Heidie M Hornstra, Roxanne D Nera, Nathan Stone, Jeffrey Gruendike, Emily L Kaufman, Amanda H Pettus, Audriana N Hurbon, Jordan L Buchhagen, N Jane Harms, Gvantsa Chanturia, Miklos Gyuranecz, David M Wagner, Paul S Keim

“…We examined the performance of 185 Melt-MAMAs across eight different pathogens using various optimization parameters. …”
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Defining a Novel Meaning of the New Organic Architecture by Jia-Rey Chang

“…In “Out of Control”, Kevin Kelly has further made several explicit points to support his views, that Industry will inevitably adopt bio-inspired methods: It takes less material to do the same job better. …”
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Human resource time commitments and associated costs of Community Caregiver outreach team operations in South Africa. by Rachel Mukora, Ryan R Thompson, Piotr Hippner, Resignation Pelusa, Martha Mothibi, Richard Lessells, Alison D Grant, Katherine Fielding, Kavindhran Velen, Salome Charalambous, David W Dowdy, Hojoon Sohn

“…Our objective was to assess the workloads and operational costs for CCG teams operating in different settings in South Africa.<h4>Methods</h4>Between March and October 2018, we collected standardized self-reported activity time forms from 11 CCG pairs working at two public health clinics in Ekurhuleni district, South Africa. …”
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Evaluation of clopidogrel impact on canine platelet function using flow cytometry and thromboelastography platelet mapping by Eunchae Yoon, Chaewon Shin, Hyeona Bae, Kyu-Woan Cho, Dong-In Jung, Jinho Park, Dongbin Lee, DoHyeon Yu

“…BackgroundClopidogrel is frequently used in veterinary medicine to therapeutically decrease platelet function, although some different dosages have been published. Therefore, we assessed the antiplatelet effects of the recommended dosage (1 mg/kg PO q24h) on canine platelet function.MethodsFive dogs were administered either clopidogrel or placebo, with a 14-day washout period. …”
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Comorbidities of overweight and obesity associated risk factor in Saudi Arabia: a population-based analysis by Arwa M. Alshangiti, Mohammed S. Aldossary, Abdulaziz I. Abou-Hussein, Wejdan J. Aloufi, Mervat M. El Dalatony, Shaker A. Alomary

“…Methods This study analyzed data from the 2019 Kingdom of Saudi Arabia World Health Survey (KSAWHS), implemented by the Ministry of Health using a nationally representative sample. …”
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Progress and prospect of blue food research: Analysis based on “Web of Science” literature by ZHANG Yu, LIU Jiaming, ZHU He, ZHANG Jinhe, TIAN Qing, WANG Mengfan

“…[Conclusion] By analyzing the progress of blue food research and constructing a framework for blue food studies from a geographical perspective, this paper suggests that future efforts should focus on the study of blue food consumption in different scenarios and groups, spatial and temporal differentiation of blue food production and consumption, multi-scale assessment and mechanism analysis of the environmental effects of blue food, the stability of blue food system and the response to future changes, and the multi-objective optimization of blue food consumption structure, so as to promote the theoretical improvement and practical innovation of blue food research in China.…”
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The Impact of Cloud Versus Local Infrastructure on Automatic IoT-Driven Hydroponic Systems by Cosmina-Mihaela Rosca, Adrian Stancu, Marian Popescu

“…This research aims to fill a gap in the specialized literature through a detailed analysis of the configuration, implementation methods, and all implications of the two approaches from the perspective of the seven indicators. …”
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Influence of heat treatments on the tensile properties and thermal expansion behavior of Fe-Ni wire by CHEN Bao-an, ZHANG Qiang, WANG Rui-hong, HAN Yu, DING Yi, ZHU Zhi-xiang, CHEN Xin, YANG Chang-long, ZHANG Hong-yu

“…Although Fe-Ni wires have numerous potential applications, the effect of heat treatments on the microstructures and properties of Fe-Ni wires is currently unclear. In this study, different high-temperature annealing and low-temperature aging treatments (i.e., ① annealing at 950℃ for 3 h+quenching, ② annealing at 950℃ for 3 h+quenching+aging at 500℃ for 2 h, and ③ aging at 500℃ for 2 h) were applied to cold-drawn Fe-36.24% Ni alloy wires to comparatively investigate their influences on the microstructural evolution, tensile strength, and thermal expansion coefficient, with the aid of microstructural characterization methods, such as X-ray diffraction, optical microscopy, atomic force microscopy, and transmission electron microscopy, as well as property measurements, such as room-temperature tensile testing and thermal expansion coefficient. …”
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Validation of the metabolic power model during three intermittent running-based exercises with emphasis on aerobic and anaerobic energy supply by Joana Brochhagen, Joana Brochhagen, Matthias W. Hoppe

“…The aim of this study was to validate the metabolic power model against the established 3-component model to allow direct comparison of variables including energy expenditure and supplies during intermittent running-based exercises.MethodsTwelve male athletes (24 ± 3 years) performed three different running-based exercises consisting of continuous shuttle runs and repeated accelerations and sprints with change of direction. …”
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Dynamic analysis of pathogenic distribution and drug resistance mechanism in neonatal suppurative meningitis: a retrospective study by Lu He, Muchun Yu, Zhihong Sun, Congcong Zhao, Huiqing Sun

“…Methods We retrospectively analyzed newborns diagnosed with suppurative meningitis having positive cerebrospinal fluid cultures between January 2017 and December 2022. …”
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Motor skill experience modulates attentional processing regardless of open- or closed-skill types: an ERP study by Mohamed Aly, Turki Alzahrani, Mohammed Fakehy, Mohamed Abass, Sheref Mohamed

“…BackgroundAttentional engagement, the ability to maintain focus on relevant tasks, plays a crucial role in optimizing human performance. Studies have shown that athletes exhibit superior attentional engagement compared to non-athletes; however, it remains unclear if these benefits persist in non-sport-related tasks or differ across types of sports expertise, such as open-skill versus closed-skill sports.MethodsNinety-three young adults, divided into open-skill athletes (n = 31), closed-skill athletes (n = 31), and a control group (n = 31), completed an auditory oddball task while the P3 component of event-related potentials was measured to assess attentional processing. …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…The proposed model achieved an impressive accuracy of 99.54% on the IQ-OTH/NCCD dataset and 98.41% on the Chest CT dataset, outperforming state-of-the-art CNN-based and ViT-based methods. With only 18.1 million parameters, the model provides a lightweight yet powerful solution for early lung cancer detection, potentially improving clinical outcomes and increasing patient survival rates.…”
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Methodological Validation of Machine Learning Models for Non-Technical Loss Detection in Electric Power Systems: A Case Study in an Ecuadorian Electricity Distributor by Carlos Arias-Marín, Antonio Barragán-Escandón, Marco Toledo-Orozco, Xavier Serrano-Guerrero

“…Following the process, several popular classification models were trained. Hyperparameter optimization was performed by using grid search, and the models were validated by using cross-validation techniques, finding that the ensemble methods Categorical Boosting (CGB), Light Gradient Boosting Machine (LGB) and Extreme Gradient Boosting (EGB) are the most suitable for identifying losses, achieving high performance and reasonable computational cost. …”
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