Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity by Ethel Siew Ee Tan, Hong Ming Tan, Kah Vui Fong, Sheryl Yu Xuan Tey, Nikita Rane, Chong Wei Ho, Zhao Yuan Tan, Rachel Jing Min Ong, Chloe Teo, Jerall Yu, Maxine Lee, An Rae Teo, Sin Kee Ong, Xin Ying Lim, Jin Lin Kee, Jussi Keppo, Geoffrey Chern-Yee Tan

“…Hence, understanding the relative contributions of population differences, word lists and calculation methods to these associations with depression, is crucial for translating the SRET into a clinical screening tool. MethodsThis study systematically investigated the predictive accuracy of various SRET measures across different samples, including one clinical population matched with healthy controls and two university student populations, exposed to differing word lists. …”
Get full text

Molecular Detection of EMT Markers in Circulating Tumor Cells from Metastatic Non-Small Cell Lung Cancer Patients: Potential Role in Clinical Practice by Annalisa Milano, Francesca Mazzetta, Sabatino Valente, Danilo Ranieri, Laura Leone, Andrea Botticelli, Concetta Elisa Onesti, Salvatore Lauro, Salvatore Raffa, Maria Rosaria Torrisi, Paolo Marchetti

“…The RT-PCR-based approach for the evaluation of CTCsEMT phenotype could be a promising and inexpensive tool to predict the prognosis and the therapeutic response in NSCLC patients.…”
Get full text

eDNA Metabarcoding Analysis of Bony Fish Identification in Coastal Water of Gulf of Maine Using Nested Polymerase Chain Reaction of 12S rRNA Universal Primers by Bo‐Young Lee, Grant A. Milne, Corwin Freedman, Jenifer Miksis‐Olds, Bonnie L. Brown

“…ABSTRACT Ecosystems in coastal waters of Gulf of Maine (GOM) are undergoing environmental challenges in response to climate change and anthropogenic stressors. eDNA metabarcoding, a powerful tool for assessing the fish community structure, was used to identify fish communities in three types of GOM aquatic environments (sand, macroalgae, and eelgrass) in Maine and New Hampshire, USA. …”
Get full text

Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

“…The user-friendly interface of the WebApp makes it an easily accessible tool for professionals and researchers in concrete engineering. …”
Get full text

Eight Years of Norovirus Surveillance in Urban Wastewater: Insights from Next-Generation by Giusy Bonanno Ferraro, David Brandtner, Pamela Mancini, Carolina Veneri, Marcello Iaconelli, Elisabetta Suffredini, Giuseppina La Rosa

“…WBE provides a cost-effective and comprehensive tool for public health surveillance, particularly in regions with limited clinical surveillance. …”
Get full text

A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data by Vasileios Skaramagkas, Ioannis Kyprakis, Georgia S. Karanasiou, Dimitris I. Fotiadis, Manolis Tsiknakis

“…To address these challenges, DL, a branch of machine learning inspired by the human brain, has emerged as a promising tool. DL models can analyze vast and complex datasets, including patient-reported outcomes, medical images, and physiological signals, enabling a deeper understanding of factors influencing an individual's QoL. …”
Get full text

Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance by Sarfaraz Natha, Fareed Ahmed, Mohammad Siraj, Mehwish Lagari, Majid Altamimi, Asghar Ali Chandio

“…These advantages make it an invaluable tool for public safety and security operations, where rapid and accurate responses are needed for maintaining safety.…”
Get full text

Serrated chips morphology and formation mechanism of laser additive manufactured materials for subtractive machining by Meng Liu, Guohe Li, Shanshan Zhao, Yujun Cai, Chunzheng Duan

“…These fluctuations can negatively affect machining accuracy, surface roughness, and tool life. Moreover, the heterogeneous characteristics of laser additive manufactured (AM-ed) materials significantly influences chip morphology. …”
Get full text

Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

“…The overall analysis of the results obtained illustrated that the Housing Asset Repair Optimization tool had reduced downtime while enhancing, at the same time, the accuracy of the prediction of future faults to enable the right-time planning for maintenance activities. …”
Get full text

The Validation of the sickle scan technique used to diagnose sickle cell disease by Magain Mihatano Barihuta, Guelord Inkalaba, Jocelyn Kakumba Mankulu, Olivier Nzingula, Maguy Luvandu Mbenza, Nicole M. Misengabu, M Ndeme, Michel Diyi, Mbembe Bitengeli, Tresor Bayebila Menanzambi, Nsimba Miezi, José Lami Nzunzu, Fridolin Kodondi Kule-koto

“…Purpose This study aimed to validate the rapid "Sickle SCAN" method, manufactured by ZENTECH, as a tool for rapid diagnostic testing. Methods We assessed a single validation criterion: selectivity. …”
Get full text

Releasing time to care: a quality improvement project aimed to increase direct rehabilitation time in a Stroke Rehabilitation Centre by Susan White, Benjamin Jelley, Claire Haddock, Jennifer Blackhouse, Dolores Macchiavello, Jennifer Clark, James Hinder, Amy Joyce, Kate Matchett, Eden Morris, Carys Moss, Chris Rees, Alun Walters

“…To do so, we developed a tool to gather and analyse SSNAP-specific data and use Kanban cards to make weekly actions visible to reduce miscommunication. …”
Get full text

Improved prediction model for ceiling maximum smoke temperature in the uphill tunnel fires using water spray system by Jie Wang, Dan Huang, Yanlong Song, Kaihua Lu

“…This predictive model is a reliable tool for estimating the maximum temperature rise in the upstream and downstream areas of the fire source under various water spray conditions.…”
Get full text

Deep imaging of LepR+ stromal cells in optically cleared murine bone hemisections by Yuehan Ni, Jiamiao Wu, Fengqi Liu, Yating Yi, Xiangjiao Meng, Xiang Gao, Luyi Xiao, Weiwei Zhou, Zexi Chen, Peng Chu, Dan Xing, Ye Yuan, Donghui Ding, Ge Shen, Min Yang, Ronjie Wu, Ling Wang, Luiza Martins Nascentes Melo, Sien Lin, Xiaoguang Cheng, Gang Li, Alpaslan Tasdogan, Jessalyn M. Ubellacker, Hu Zhao, Shentong Fang, Bo Shen

“…This protocol is robust, straightforward to implement, and highly reproducible, offering a valuable tool for tissue architecture and cellular interaction studies.…”
Get full text

Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review by Eliška Sedláčková, Anna Pražanová, Zbyněk Plachý, Nikola Klusoňová, Vaclav Knap, Karel Dušek

“…Integrating AE with other analytical techniques can create a comprehensive tool for continuous battery condition monitoring and predictive maintenance, which is crucial in applications where battery reliability is vital, such as in EVs and energy storage systems. …”
Get full text

Longitudinal relationship between baseline Weight-Adjusted Waist Index and stroke risk over 8 years in Chinese adults aged 45 and older: a prospective cohort study by Xiaoqiang Li, Xiangmao Zhou, Hui Du, Hui Wang, Zhijian Tan, Yaqing Zeng, Zhibin Song, Guifeng Zhang

“…WWI may serve as an effective tool for predicting long-term stroke risk within this population. …”
Get full text

Evaluating [⁶⁸Ga]-Ga PSMA PET/CT for Detecting Prostate Cancer Recurrence Post-High-Intensity Focused Ultrasound and Brachytherapy: A Single-Center Retrospective Study by Andrea Di Giorgio, Marco Rapa, Simona Civollani, Andrea Farolfi, Stefano Fanti

“…PET/CT with PSMA has emerged as a promising tool for detecting residual disease or recurrence post-treatment, offering higher sensitivity and specificity than traditional imaging. …”
Get full text

Computational assessment of measurable residual disease in acute myeloid leukemia using mixture models by Tim R. Mocking, Angèle Kelder, Tom Reuvekamp, Lok Lam Ngai, Philip Rutten, Patrycja Gradowska, Arjan A. van de Loosdrecht, Jacqueline Cloos, Costa Bachas

“…Conclusions We demonstrate that our pipeline provides a powerful tool for fast (~3 s) and objective automated MRD assessment in AML.…”
Get full text

Induced Hypothermia Does Not Harm Hemodynamics after Polytrauma: A Porcine Model by Matthias Weuster, Philipp Mommsen, Roman Pfeifer, Juliane Mohr, Steffen Ruchholtz, Sascha Flohé, Matthias Fröhlich, Claudia Keibl, Andreas Seekamp, Martijn van Griensven, Ingo Witte

“…Nevertheless, therapeutic hypothermia might be a useful tool for intensive care after polytrauma. Future studies should extend therapeutic hypothermia.…”
Get full text

Escape Room Activity to Teach Head and Neck Anatomy by George Holan, Rijul Asri, Abhishek Yadav, Christin Traba, Sophia Chen, Jeremy J. Grachan

“…Discussion While the escape room may not have shown significant improvement in knowledge, integrating this active learning tool does help students identify gaps in their knowledge and requires the utilization of various skills, which can make students better health care professionals.…”
Get full text

Microbial proliferation deteriorates the corrosion inhibition capability, lubricity, and stability of cutting fluid by Yuanyuan Shen, Wenkai Zhang, Lili Wu, Yaohua Dong, Guoqiang Guo, Lihua Dong, Zhangwei Guo

“…The results show that the surface of cutting fluid sampled from the tank of a machining tool tank contained predominantly aerobic bacteria, while the bottom mainly harbored anaerobic and facultative microorganisms, with Yarrowia lipolytica representing the dominant fungus. …”
Get full text