Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…This model is then used to predict the monthly-average grid-wise PM2.5 concentrations in more than 800 grids in each of these two cities to study the spatial and temporal patterns in PM2.5 concentrations between 2016 and 2019. …”
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Rapid microcystin-LR detection using antibody-based electrochemical biosensors with a simplified calibration curve approach by Samuel Adjei-Nimoh, Lance-Nicolas Rances, Maha A. Tony, Hossam A. Nabwey, Woo Hyoung Lee

“…The simplified calibration curve was developed and used to predict unknown MC-LR concentrations in several lake water samples with a relative standard deviation (RSD) of 1.0–4.4% and a recovery of 75–112%, indicating the suitability of the developed biosensor and a streamlined calibration curve for rapid MC-LR measurements for different water bodies with similar water quality. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Visual explanations achieved via the Eigen-CAM algorithm were also exploited to evaluate the reliability of the predictions. The model was finally embedded in an end-to-end tool offering a graphical user interface (GUI) to allow an effective interaction between the domain expert and the machine. …”
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Unveiling the Prognostic Power of HRR in ICU-Admitted COPD Patients: A MIMIC-IV Database Study by Wang Y, Chen D, Zhang C, Yang H

“…Receiver Operating Characteristic (ROC) curves were utilized to assess the predictive capability of HRR, and Decision Curve Analysis (DCA) was conducted for clinical evaluation. …”
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Benthic marine invertebrate herbivores diversify their algal diets in winter by R. M. Yoshioka, A. W. E. Galloway, J. B. Schram, L. E. Bell, K. J. Kroeker

“…Understanding how species respond to such changes, such as in their feeding interactions and physiology, is key to predicting their resilience to both seasonal and longer term climate changes. …”
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SLC7A11 is a potential therapeutic target and prognostic biomarker correlated with immune cell infiltration in cervical cancer by Mutangala Muloye Guy, Tingting Bian, Longyun Sun, Yiping Hao, Xinlin Jiao, Wenjing Zhang, Teng Zhang, Baoxia Cui

“…Finally, we explore potential drugs by oncoPredict. Results Our findings suggest that SLC7A11 could serve as a valuable prognostic biomarker in cervical cancer. …”
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Climate drives the long-term ant male production in a tropical community by Adriana Uquillas, Nathaly Bonilla, Stephany Arizala, Yves Basset, Héctor Barrios, David A. Donoso

“…Abstract Forecasting insect responses to environmental variables at local and global spatial scales remains a crucial task in Ecology. However, predicting future responses requires long-term datasets, which are rarely available for insects, especially in the tropics. …”
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A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis by Jefferson Dos Santos Ambrosio, Marco Jose da Silva, Andre Eugenio Lazzaretti

“…Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine learning-based approaches have gained relevance in flow regime classification research in the last few years. …”
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Microbiological hazards associated with the use of water in the post‐harvest handling and processing operations of fresh and frozen fruits, vegetables and herbs (ffFVH). Part 5 (Fr... by EFSA Panel on Biological Hazards (BIOHAZ), Ana Allende, Avelino Alvarez‐Ordóñez, Valeria Bortolaia, Sara Bover‐Cid, Alessandra De Cesare, Wietske Dohmen, Laurent Guillier, Lieve Herman, Liesbeth Jacxsens, Lapo Mughini‐Gras, Maarten Nauta, Jakob Ottoson, Luisa Peixe, Fernando Perez‐Rodriguez, Panagiotis Skandamis, Elisabetta Suffredini, Jen Banach, Bin Zhou, Maria Teresa daSilva Felício, Laura Martino, Winy Messens, Angela Botteon

“…A WMP aims to maintain the fit‐for‐purpose microbiological quality of the process water and consists of: (a) identification of microbial hazards and hazardous events linked to process water; (b) establishment of the relationship between microbiological and physico‐chemical parameters; (c) description of preventive measures; (d) description of intervention measures, including their validation, operational monitoring and verification; and (e) record keeping and trend analysis. A predictive model was used to simulate water management outcomes, highlighting the need for water disinfection treatments to maintain the microbiological quality of the process water and the added value of water replenishment. …”
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Compressive Characteristics and Fracture Simulation of Cerasus Humilis Fruit by Cheng Hao, Dongjin Yang, Liyang Zhao, Jianguo Yang, Tao Wang, Junlin He

“…The finite element model established in this study effectively simulates and predicts the cracking and internal damage behavior of Cerasus humilis fruit under compressive loads. …”
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The association between perceived student gratitude and teacher family role performance: A moderated mediation model by Shaoqing Su, Yifan Ou, Ying Liao

“…Results: Perceived student gratitudesignificantly predicts teacher’ s family role performance. Work-family enrichment serves as a mediator in the relationship between perceived student gratitude and teachers' family role performance. …”
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Endophytic fungi related to the ash dieback causal agent encode signatures of pathogenicity on European ash by Maryam Rafiqi, Chatchai Kosawang, Jessica A. Peers, Lukas Jelonek, Hélène Yvanne, Mark McMullan, Lene R. Nielsen

“…All four Hymenoscyphus genomes are of comparable size (55–62 Mbp) and GC contents (42–44%) and encode for polymorphic secretomes. Surprisingly, 1133 predicted secreted proteins are shared between the ash dieback pathogen H. fraxineus and the three related Hymenoscyphus endophytes. …”
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Factors Correlated to the Renoprotective Effect of Sitagliptin in Patients with Type 2 Diabetes Mellitus: Retrospective Observational Study by Pirawan Khunkit, Konkanok Wattana

“…The important parameters that predict appropriate sitagliptin treatment are known as factors. …”
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Relationship between physical literacy and mental health in adolescents: a moderated mediation model with resilience and physical activity as variables by Zhu Shanshan, Tao Ping, Lin Jiabin, Liu Tianzhuo, Lai Xiaomei, Wang Bolei, Dai Leifu, Tang Jianfeng

“…After controlling for sex and grade variables, resilience mediated the relationship between adolescent physical literacy and mental health, physical activity moderated the relationship between physical literacy and resilience in the mediator model but not between physical literacy and mental health.DiscussionThe present study suggests that could physical literacy predict increased levels of resilience, which could then lead to higher mental health. …”
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Differential detoxification enzyme profiles in C-corn strain and R-rice strain of Spodoptera frugiperda by comparative genomic analysis: insights into host adaptation by Ping-Hong Yao, Syed Husne Mobarak, Mao-Fa Yang, Chao-Xing Hu

“…In contrast, no substantial variation was observed in phase III ABC enzymes. Functional predictions and protein interaction networks suggest a broader expansion of metabolism-related genes in the R strain compared to the C strain. …”
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Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using mult... by Shinji Inaba, Toshi A Furukawa, Osamu Yamaguchi, Masatsugu Sakata, Kazumichi Yamamoto, Tomohiro Kaga, Muhammad Wannous

“…Based on data collected from a predicted sample size of 438 test participants recruited from physicians, nurses, medical and nursing students, and other healthcare professionals, we plan to statistically analyse item parameters and participant performance using multidimensional item response theory. …”
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Impacts of Biochar Application on Inorganic Phosphorus Fractions in Agricultural Soils by Liwen Lin, Yutao Peng, Lin Zhou, Baige Zhang, Qing Chen, Hao Chen

“…Due to the complex processes by which biochar affects soils, more systematic evaluations and predictive methods (e.g., modeling, machine learning) are needed to support sustainable agriculture and environmental practices.…”
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Investigation of Scutellaria Barbata’s immunological mechanism against thyroid cancer using network pharmacology and experimental validation by Gen Ouyang, Yuangui Zhu, Zhehao Ouyang

“…This study combines database predictions with experimental validation to reveal the potential mechanisms of SBH against TC, providing effective strategies for the immunotherapy of TC.…”
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HSP60 inhibits DF-1 apoptosis through its mitochondrial signal peptide by Shengliang Cao, Yanlan Li, Lele Chen, Xiaojing Lei, Xiujuan Feng, Yubao Li

“…The structure of the HSP60 mitochondrial signal peptide (MIT) protein was predicted using Pymol software, which revealed that His amino acid at the 21st position affects its spatial structure. …”
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Fatty acid metabolism-related signature suggests an oncogenic role of TEKT1 in endometrial cancer by Zhikai Xiahou, Hong Xiao, Yafeng Song, Xin Xu

“…Conclusion: A reliable predictive signature based on genes related to fatty acid metabolism in endometrial cancer was conducted, wherein TEKT1 was mainly implicated as the primary gene of interest. …”
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