Plasma metabolic profiles in alcohol use disorder: diagnostic role of arginine and emotional implications of N6-acetyl-lysine and succinic acid by Guoxin Cao, Bingqing Chen, Yu Sun, Jiansheng Qiao, Tianhao Liu, Jiawei Hou, Xiaojiao Han, Ying Tang, Yixin Fu, Jiang-Hong Ye, Qingfeng Shen, Rao Fu

“…Orthogonal partial least squares discriminant analysis model and decision tree machine learning model were used to distinguish metabolites specifically associated with AUD. …”
Get full text

Exploration of ductility for refractory high entropy alloys via interpretive machine learning by Shaolong Zheng, Lingwei Yang, Liyang Fang, Chenran Xu, Guanglong Xu, Yifang Ouyang, Xiaoma Tao

“…Integration of the shapley additive explanations (SHAP) model with sample data reveals key relationships between physical parameters and RHEA ductility, providing theoretical insights for developing high-ductility RHEAs. …”
Get full text

Modeling Organizational Justice and Job Satisfaction with the Mediating Role of Organizational Indifference by Ali soboohi, hadi hematian, Abolfazl danaee

“…The statistical population of the study includes 607 employees of the General Directorate of Education of Semnan Province, 242 of whom were selected using the Cochran formula and a multi-stage and stratified proportional sampling method. A standard questionnaire was used to collect data. …”
Get full text

The learning process of physical education lessons in education through virtual education by mahyar yarahmadi, Habib Honari, Meysam Shabaninia

“…In addition to expanding knowledge, the electronic learning system has given people the opportunity to make better and wiser decisions. In recent decades, thanks to the evolution and expansion of technological devices, new classes and virtual environments have been created (Valkanov et al, 2016). …”
Get full text

Examining the effect of knowledge-based leadership on organizational innovation with the mediating role of illusion of control and rationality by davar Dirmina, Gholamhasan Shirdel, Seyyed Javad Iranban

“…A descriptive-applicable research model was used in this study, its method was survey, and the statistical population was 110 managers and experts of Sepah Bank headquarters after the merger. The required sample size was selected by simple random sampling method, consisted of 87 people through Morgan table; data was selected and collected from a researcher-made questionnaire, and Likert scale was used for measurement. …”
Get full text

The Effectiveness of Wisdom Training on Academic Emotions, Academic Motivation and Subjective Vitality in Students by Masoomeh Azizi, Abolghasem Yaghoobi

“…In doing so, 42 students were selected by available sampling method and randomly divided in experimental (21 individual) and control group (21 individual). …”
Get full text

Geochemical Characterization of Soil and Water in an Agricultural Area for the Sustainable Use of Natural Resources by Ana C. González-Valoys, Tamir Chong, Jonatha Arrocha, Javier Lloyd, Jorge Olmos, Fidedigna Vergara, Medin Denvers, Juan Jaén, Samantha Jiménez-Oyola, Francisco Jesús García-Navarro

“…Water samples, including surface water and groundwater, were assessed for Ca, Fe, K, Mg, Mn, Na, N, HCO₃, SO₄, PO₄, NO₃-N, and salinity. …”
Get full text

Patient and physician treatment preferences in relapsed/refractory follicular lymphoma: a discrete choice experiment in the United States, United Kingdom, France, Germany, Brazil,... by John G. Gribben, Emmanuel Bachy, Markqayne Ray, Kathryn Krupsky, Kathleen Beusterien, Lewis Kopenhafer, Sara Beygi, Timothy Best, Graeme Ball, Oliver Will, Madhu Palivela, Anik Patel, Paola Ghione

“…Mean preference weights and relative attribute importance were estimated in each sample, overall and by country, using hierarchical Bayesian models. …”
Get full text

Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

“…Conclusions Deep learning system can use biopsy samples to predict the risk of BCR in PCa, thereby formulating targeted treatment strategies.…”
Get full text

Factors Associated with Loss to Follow-Up in Pediatric Concussion Patients after Initial Visit: A Retrospective Study at a Concussion Clinic by Emilia Núñez-Peña, MD, Ryan P. Kelly, BS, Santiago Campos, MD, Maria C. Diaz, MD, Pamela A. Castillo, MD, Shivangi Kataria, MSAB, Alexia M. Perez, MD, Maria Dolores Beletanga, MD, Alcy R. Torres, MD

“…A “golden window” of 2 appointments was identified, highlighting the need of a strong rapport and engagement in shared decision-making. Future directions include prospective studies implementing strategies targeting adolescents and building a strong patient-provider relationship.…”
Get full text

Sustainable authentication of molasses' botanical origin using infrared spectroscopy: Accuracy and greenness evaluation of spectral techniques by Macarena Rojas-Rioseco, Mecit Öztop, Cristian A. Fuentes, Martin Bravo, Ivan Smajlovic, Margarita Smajlovic, Karol Kołodziejski, Danuta Kruk, Víctor Muñoz, Rosario del P. Castillo

“…However, FT-IR scored the lowest in terms of greenness due to higher energy demands and sample handling in comparison with the other techniques. …”
Get full text

Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

“…Combining a locus of high volunteer-consensus images within the ML learnt feature space and anomaly score, we demonstrated a decision boundary that can effectively isolate images with unusual and potentially scientifically interesting characteristics. …”
Get full text

Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning by Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He

“…Materials and methods This study included a total of 483 participants (141 healthy controls and 342 patients with pPNs) from June 2022 and January 2024. Saliva samples were subjected to sequencing of the V3–V4 region of the 16S rRNA gene to assess microbial diversity and differential abundance. …”
Get full text

Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Methods A secondary data analysis of Ethiopian demographic health servey from 2016 to 2019 was performed. a total of weighted sample of 12,573 women in the reproductive age group was included in this study. …”
Get full text

A score prediction model for predicting the heterogeneity symptom trajectories among lung cancer patients during perioperative period: a longitudinal observational study by Yong Yang, Xueqi Tian, Huiling Zhou, Yichao Wang, Yifeng Gu, Ao Qi, Decai Wang, Zhiying Wang, Yabin Gong, Lijing Jiao, Ling Xu

“…And the calibration curves demonstrated strong concordance between anticipated probability and actual data (mean absolute error: 0.033). Furthermore, the decision curve analysis (DCA) indicated higher net benefit than other four single factors. …”
Get full text

Geospatial mapping and multivariate statistical analysis for assessing groundwater quality in Bou Arada-El Aroussa plain, Northwestern Tunisia by Imed Ben Slimene, Amor Ben Moussa, Stefan Geyer, Ismail Trabelsi

“… This paper presents an integrated study of groundwater quality for irrigation and its spatial distribution in the Bou Arada-El Arroussa plain to guide decision-makers in the development of sustainable groundwater resource management plans. …”
Get full text

Dynamics of multiple resistance mechanisms in plasma DNA during EGFR‐targeted therapies in non‐small cell lung cancer by Dana Wai Yi Tsui, Muhammed Murtaza, Alvin Seng Cheong Wong, Oscar M Rueda, Christopher G Smith, Dineika Chandrananda, Ross A Soo, Hong Liang Lim, Boon Cher Goh, Carlos Caldas, Tim Forshew, Davina Gale, Wei Liu, James Morris, Francesco Marass, Tim Eisen, Tan Min Chin, Nitzan Rosenfeld

“…We performed digital PCR and targeted sequencing on samples from all patients and shallow whole‐genome sequencing on samples from three patients who underwent histological transformation to small‐cell lung cancer. …”
Get full text

Evaluation of the shielding initiative in Wales (EVITE Immunity): protocol for a quasiexperimental study by Stephen Jolles, Ashley Akbari, Andrew Carson-Stevens, Helen Snooks, Alan Watkins, Adrian Edwards, Ann John, Alison Porter, Victoria Williams, Bridie Angela Evans, Ronan Lyons, Bernadette Sewell, Mark Rhys Kingston, Tony Whiffen, Jane Lyons, Rowena Bailey, Catherine A Thornton, Lesley Bethell, Samantha Bufton, Lucy Dixon

“…This study will generate a logic model of the intervention and evaluate the effects and costs of shielding to inform policy development and delivery during future pandemics.Methods and analysis This is a quasiexperimental study undertaken in Wales where records for people who were identified for shielding were already anonymously linked into integrated data systems for public health decision-making. We will: interview policy-makers to understand rationale for shielding advice to inform analysis and interpretation of results; use anonymised individual-level data to select people identified for shielding advice in March 2020 and a matched cohort, from routine electronic health data sources, to compare outcomes; survey a stratified random sample of each group about activities and quality of life at 12 months; use routine and newly collected blood data to assess immunity; interview people who were identified for shielding and their carers and NHS staff who delivered healthcare during shielding, to explore compliance and experiences; collect healthcare resource use data to calculate implementation costs and cost–consequences. …”
Get full text

CSF Tau Is a Biomarker of Hippocampal Injury in Cryptogenic New‐Onset Refractory Status Epilepticus by Yihui Goh, Yoonhyuk Jang, Soo Jean Shin, Soo Hyun Ahn, Su Yee Mon, Yoon Hee Shin, Kon Chu, Sang Kun Lee, Soon‐Tae Lee

“…Methods CSF samples were obtained within 7 days of NORSE onset from an adult cNORSE cohort in a national referral center in South Korea. …”
Get full text

Cytokine profiling identifies circulating IL-2, IL23 and sPD-L1 as prognostic biomarkers for treatment outcomes in non-small cell lung cancer patients undergoing anti-PD1 therapy by Kriti Jain, Anika Goel, Deepa Mehra, Deepak Kumar Rathore, Akshay Binayke, Shyam Aggarwal, Surajit Ganguly, Amit Awasthi, Evanka Madan, Nirmal Kumar Ganguly

“…These biomarkers may facilitate more personalized approaches to immunotherapy and guide clinical decision-making.…”
Get full text