The role of social-psychological factors in the adoption of push-pull technology by small-scale farmers in East Africa: Application of the theory of planned behavior by Denis Waiswa, Beatrice Wambui Muriithi, Alice W. Murage, Dave Mwangi Ireri, Fredah Maina, Frank Chidawanyika, Fahri Yavuz

“…These insights underscore the need for tailored, context-sensitive interventions that integrate behavioral, social, and practical considerations. …”
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Diagnostic value of miR-193a-5p in severe pneumonia and its correlation with prognosis by Xiaoji Su, Lijuan Zhu, Jiajia Zhuo, Shihai Zhang

“…Results Serum levels of miR-193a-5p were markedly elevated in children with severe pneumonia and exhibited a positive correlation with CRP, WBC, neutrophil count, and NLR. miR-193a-5p could effectively distinguish children with severe pneumonia from healthy children, with an AUC, sensitivity, and specificity of 0.862, 70.67%, and 88.67%, respectively. …”
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Conservation networks do not match the ecological requirements of amphibians by Matutini, Florence, Baudry, Jacques, Fortin, Marie-Josee, Pain, Guillaume, Pithon, Josephine

“…Amphibians are among the most threatened taxa as they are highly sensitive to habitat degradation and fragmentation. …”
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Association between Mediterranean diet and metabolic health status among adults was not mediated through serum adropin levels by Maryam Shafiei, Donya Poursalehi, Sobhan Mohammadi, Farnaz Shahdadian, Zahra Hajhashemy, Parisa Rouhani, Elahe Mokhtari, Parvane Saneei

“…Fasting blood samples were drawn to measure serum adropin concentrations, blood glucose, triglycerides, high-density lipoprotein cholesterol, high sensitive C-reactive protein and insulin. Metabolic unhealthy (MU) status was defined as having ≥ 2 cardio-metabolic risk factors. …”
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Co-dynamics of hepatitis B and C viruses under the influence of CTL immunity by A.M. Elaiw, GH.S. Alsaadi, A.A. Raezah, A.D. Hobiny

“…The theoretical findings are further supported and validated through numerical simulations. A sensitivity analysis is conducted to identify the parameter with the greatest influence on model behavior. …”
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Data analysis for performance index of plate heat exchanger filled by ionanofluid-oil: parallel versus counterflow by Ishrat Zahan, Rehena Nasrin, Nusrat Jahan Jakia

“…A comprehensive data analysis is conducted using the surface response method, including ANOVA, sensitivity analysis, and optimization testing. The counter and parallel flow designs achieve approximately 76.23% and 70.07% thermal enhancement at Re = 1, respectively. …”
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Death risk prediction model for patients with non-traumatic intracerebral hemorrhage by Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan

“…The model’s performance was evaluated using ROC curve analysis, calibration curve analysis, clinical decision curve analysis, sensitivity, specificity, accuracy, and F1 score. Conclusively, the SHapley Additive exPlanations (SHAP) method was employed to interpret the model’s predictions. …”
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Assessing the health and economic burden of obesity-related complications in East-Asian populations: implementation of risk equations in the Core Obesity Model for Japan and model... by Ichiro Tatsuno, Mark Lamotte, Laetitia Gerlier, Anamaria-Vera Olivieri, James Baker-Knight

“…Conversely, the 10-year cumulative ACS incidences predicted in a Japanese population were less than half of those in a Western population.Conclusion The Japanese COM adaptation addresses ethnicity-specific patterns of overweight/obesity, with better sensitivity to lower BMIs for several associated complications. …”
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Cobalt (II) phthalocyanine derived Co3O4@HCNFs as highly effective bifunctional electrocatalysts for iodide redox couple reduction (IRR) and oxygen reduction reaction (ORR) by Ziyu Guo, Wenyu Gong, Jianing Guo, Mingxing Wu

“…Developing low-cost electrocatalysts for iodide redox couple reduction (IRR) and oxygen reduction reaction (ORR), applied in dye-sensitized solar cells (DSCs) and Zinc-air batteries (ZABs) is of crucial significance for the fields of energy conversion and energy storage. …”
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Impact of wave–current coupling on the bottom boundary layer in Bohai Bay by Siyu Liu, Siyu Liu, Guangxue Li, Xue Liu, Lulu Qiao, Nan Wang, Shidong Liu, Xiangdong Wang, Di Yu, Lei Zhang

“…The index of intensity of the bottom shear β—defined as the ratio of the wave–current-induced shear stress to the critical shear stress—was identified as a sensitive indicator of variations in the SSC. Significant sediment resuspension occurred in case of the coupling of large wave and current events on the fine-grained seabed, when the value of β exceeded 10 for more than 20 h and the Rouse number persisted below 0.01 for over 30 h. …”
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Serum metalloproteinase-7 as a biomarker of progressive pulmonary fibrosis by Márcia Araújo, Marília Beltrão, Oksana Sokhatska, Natália Melo, Patrícia Caetano Mota, Helder Novais Bastos, André Terras, David Coelho, Luís Delgado, António Morais

“…A cut-off value of 3.53 ng·mL−1 for serum MMP-7 levels had a sensitivity of 61% and a specificity of 74% for predicting PPF in non-IPF ILDs. …”
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Automated skin lesion detection and prevalence estimation in Tamanend's bottlenose dolphins by Colin J. Murphy, Melissa A. Collier, Ann-Marie Jacoby, Eric M. Patterson, Megan M. Wallen, Janet Mann, Shweta Bansal

“…On the other hand, we find that individual-level analyses from the model predictions may be more sensitive to data quality, and thus, some individual scale questions may not be feasible to address if data quality is inconsistent. …”
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Why do acute healthcare staff engage in unprofessional behaviours towards each other and how can these behaviours be reduced? A realist review protocol by Ruth Abrams, Aled Jones, Johanna Westbrook, Jill Maben, Russell Mannion, Judy M Wright, Mark Pearson, Justin Avery Aunger

“…Step 7 of our project will develop pragmatic resources for managers and professionals, tailoring contextually-sensitive strategies to reduce unprofessional behaviours, identifying what works for which groups. …”
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

“…Human activity detection methods are the technical area which studies the classification of actions or movements an individual achieves over the recognition of signals directed by smartphones or wearable sensors or over images or video frames. They are efficient in certifying functions of detection of actions, observing crucial functions, and tracking. …”
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Determination of Pharmaceutical Residues by UPLC-MS/MS Method: Validation and Application on Surface Water and Hospital Wastewater by Bui Van Hoi, Cam-Tu Vu, Lan-Anh Phung-Thi, Thao Thi Nguyen, Phuong Thanh Nguyen, Huong Mai, Phuong-Thu Le, Thanh-Hien Nguyen, Dao Thanh Duong, Hue Nguyen Thi, Dung Le-Van, Dinh Binh Chu

“…Detection limits for surface water and hospital wastewater were 0.005–0.015 µg L−1 and 0.014–0.123 µg L−1, respectively. The sensitivity of the developed method was allowed for determination of target compounds at trace level in environmental water samples. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

“…A critical challenge in modeling chaotic systems lies in their sensitivity to initial conditions; even a slight variation can lead to significant divergence in actual and predicted trajectories over a finite number of time steps. …”
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Multiscale Physics of Atomic Nuclei from First Principles by Z. H. Sun, A. Ekström, C. Forssén, G. Hagen, G. R. Jansen, T. Papenbrock

“…By developing reduced-order models for symmetry-projected states, we perform a global sensitivity analysis and find that the subleading singlet S-wave contact and a pion-nucleon coupling strongly impact nuclear deformation in chiral effective field theory. …”
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Evaluating Urban Heat Island Effects in the Southwestern Plateau of China: A Comparative Analysis of Nine Estimation Methods by Ziyang Ma, Huyan Fu, Jianghai Wen, Zhiru Chen

“…Consequently, heat dissipates more quickly at night, increasing SUHII values. (2) The mean ΔSUHII_AD (absolute difference in SUHII values across methods) was 0.51 ± 0.01 °C during the day and 0.44 ± 0.02 °C at night. (3) In high-altitude plateau cities, for all methods, the correlation of the SUHII with influencing factors was stronger, highlighting their sensitivity to both environmental and anthropogenic influences. …”
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Methods to Compare Predicted and Observed Phosphene Experience in tACS Subjects by Aprinda Indahlastari, Aditya K. Kasinadhuni, Christopher Saar, Kevin Castellano, Bakir Mousa, Munish Chauhan, Thomas H. Mareci, Rosalind J. Sadleir

“…This preliminary study introduces and tests methods to analyze predicted phosphene occurrence using computational head models constructed from tACS recipients against verbal testimonies of phosphene sensations. Predicted current densities in the eyes and the occipital lobe were also verified against previously published threshold values for phosphenes. …”
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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

“…The average reported sensitivity and specific- ity were 0.746 and 0.862, respectively. 27 out of 60 studies used human operators, with the average number of human operators per study being 3.7±2.9. …”
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