Triboelectric Nanogenerator-Embedded Intelligent Self-Aligning Roller Bearing with the Capability of Self-Sensing, Monitoring, and Fault Diagnosis by Hao Shen, Yufan Lv, Yun Kong, Qinkai Han, Ke Chen, Zhibo Geng, Mingming Dong, Fulei Chu

“…To further demonstrate the effectiveness of the triboelectric signals emitted from the designed I-SAB in terms of self-powered fault diagnosis, a Multi-Scale Discrimination Network (MSDN), based on the ResNet18 architecture, is proposed in order to classify the various fault conditions of the SAB. …”
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Prediction of Grade 4 radiation-induced lymphopenia during chemoradiation therapy for lung cancer patients: Insights from two past trials by Serena Monti, Giuseppe Palma, Ting Xu, Radhe Mohan, Zhongxing Liao, Laura Cella

“…Results: In the MDA-cohort, 55 out of 161 (34%) patients developed G4-RIL, while in the RTOG-cohort 16 out of 227 (7%) developed this condition. The relative volume of healthy lungs receiving at least 5 Gy (V5Gy) and baseline ALC were selected as predictors in an NTCP model, with good discriminative performances (cross validated ROC-AUC: 0.68). …”
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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

“…Abstract Background Acute Kidney Injury (AKI) is a sudden and often reversible condition characterized by rapid kidney function reduction, posing significant risks to coronary artery disease (CAD) patients. …”
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RT-DETR-EVD: An Emergency Vehicle Detection Method Based on Improved RT-DETR by Jun Hu, Jiahao Zheng, Wenwei Wan, Yongqi Zhou, Zhikai Huang

“…Additionally, an Attention-based Intra-scale Feature Interaction Dynamic Position Bias (AIDPB) module is designed, replacing fixed positional encoding with learnable dynamic position bias (DPB), improving feature discrimination in complex scenarios. The experimental results demonstrate that the improved RT-DETR-EVD model achieves superior performance in emergency vehicle detection under the same training conditions. …”
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Exhaustive analysis and simple model of an angular displacement optical fiber sensor by Gorka Zubia, Joseba Zubia, Josu Amorebieta, Gotzon Aldabaldetreku, Gaizka Durana

“…Abstract Accurate tilt-angle measurement is vital in applications ranging from aerospace to civil infrastructure monitoring, especially under harsh conditions where conventional inclinometers may fail. …”
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Value of incorporating newly identified risk factors into risk prediction for chemotherapy‐induced febrile neutropenia by Yanli Li, Leila Family, Lie H. Chen, John H. Page, Zandra Klippel, Lanfang Xu, Chun R. Chao

“…A new model was developed by incorporating the newly identified comorbidities such as rheumatoid conditions and thyroid disorders into the reference model. …”
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Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech by Julianna Olah, Win Lee Edwin Wong, Atta-ul Raheem Rana Chaudhry, Omar Mena, Sunny X. Tang

“…Our study aimed to (1) identify an optimal assessment approach for the online and remote collection of speech, in the context of assessing the psychosis spectrum and evaluate whether a fully automated, speech-based machine learning (ML) pipeline can discriminate among different conditions on the schizophrenia-bipolar spectrum (SSD-BD-SPE), help-seeking comparison subjects (MDD), and healthy controls (HC) at varying layers of analysis and diagnostic complexity. …”
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Restoration of natural somatic sensations to the amputees: finding the right combination of neurostimulation methods by Gurgen Soghoyan, Artur R. Biktimirov, Nikita S. Piliugin, Yury Matvienko, Alexander Y. Kaplan, Alexander Y. Kaplan, Mikhail Y. Sintsov, Mikhail A. Lebedev, Mikhail A. Lebedev

“…Еvoked response potentials (ERPs) were more lateralized and adapted faster for PNS compared to SCS. In the tasks performed with the bionic hand, neurostimulation-induced sensations enabled discrimination of object size. …”
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A bayesian network model for neurocognitive disorders digital screening in Chinese population: development and validation study by Yifan Yu, Shuaijie Zhang, Hongkai Li, Fuzhong Xue

“…The model’s performance was validated through ROC curves, calibration curves, and decision curves analysis. …”
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Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning by Yeongho Choi, Ki Hong Kim, Yoonjic Kim, Dong Hyun Choi, Yoon Ha Joo, Sae Won Choi, Kyoung Jun Song, Sang Do Shin

“…We developed prediction models using convolutional neural networks (CNNs) and long short‐term memory (LSTM) networks. Discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC) and the area under the precision–recall curve (AUPRC). …”
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Workload and salary as determinants of pedagogical graduates’ employment by occupation by L. M. Nurieva, S. G. Kiselev

“…Criticising the low attendance rates of young professionals in schools, analysts often ignore the conditions of employment in educational institutions. …”
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Understanding the Origin of SSR in Series-Compensated DFIG-Based Wind Farms: Analysis Techniques and Tuning by Roberto Moreno-Sanchez, C. Alberto Nunez-Gutierrez, Nancy Visairo-Cruz, Julio Hernandez-Ramirez, Juan Segundo-Ramirez

“…Compared with standard tuning, a better system behavior during a resonance condition is achieved with the proposed tuning methodology. …”
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Metabolomic profiles of the silage digested in ruminal fermentation differentiated by various solvent extraction by Ayu Septi Anggraeni, Anuraga Jayanegara, Anjar Windarsih, Suratno, Ahmad Sofyan, Erika Budiarti Laconi, Nur Rochmah Kumalasari

“…Objective: The aim of this study was to examine the solvent conditions suitable for preparing samples of total mixed ration (TMR) silage and ruminal fluid, with or without chitosan inclusion, to achieve more sensitive, specific, and repeatable analyses. …”
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Risk-stratified monitoring for sulfasalazine toxicity: prognostic model development and validation by Abhishek Abhishek, Christian D Mallen, Guruprasad P Aithal, Christopher P Fox, Georgina Nakafero, Richard Riley, Matthew Grainge, Hywel C Williams, Maarten W Taal, Tim Card, Matthew D Stevenson

“…Model performance was assessed in terms of calibration and discrimination.Results 8936 participants were included in the development cohort (473 events, 23 299 person-years) and 5203 participants were included in the validation cohort (280 events, 12 867 person-years). …”
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Children’s Improvement After Language and Rhythm Training With the Digital Medical Device Poppins for Dyslexia: Single-Arm Intervention Study by Charline Grossard, Melanie Descamps, Hugues Pellerin, François Vonthron, David Cohen

“…We also explored its performance against Mila-Learn, the earlier version based on rhythm training only. …”
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A model predicting the 6-year all cause mortality of patients with advanced schistosomiasis after discharge: Derived from a large population-based cohort study. by Lanyue Pan, Chunmei Wu, Ping Li, Jiaquan Huang, Yizhi Wu, Guo Li

“…External validation also demonstrated superior performance of the ten-variable model with a higher C statistic (0.774; 95% CI, 0.749-0.797). …”
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Proteomic analysis of plasma unravels dynamic pathways and potential biomarkers indicating disease stages following Mtb infection by Zonglei Zhou, Jie Tian, Yuying He, Haiyan Xiong, Weibing Wang

“…Through four-dimensional data-independent acquisition and parallel reaction monitoring, our study linked specific plasma proteomic profiles to various tuberculosis (TB) stages and corroborated relevant pathways under various disease conditions. Of identified core proteins, complement factor H formed a diagnostic classifier that distinguished latent Mtb infection from healthy controls with good performance, and we also identified C4B, MBL2, SAA1, and matrix Gla protein as potential proteomic signatures of active tuberculosis. …”
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CYG $$\nu $$ ν S: detecting solar neutrinos with directional gas time projection chambers by Chiara Lisotti, Ciaran A. J. O’Hare, Elisabetta Baracchini, Victoria U. Bashu, Lindsey J. Bignell, Ferdos Dastgiri, Majd Ghrear, Gregory J. Lane, Lachlan J. McKie, Peter C. McNamara, Samuele Torelli

“…We evaluate the required directional performance and background conditions to observe, discriminate, and perform spectroscopy on neutrino events. …”
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State-of-the-Art on the Impact of Bimodal Acoustic Stimulation on Speech Perception in Noise in Adults: A Systematic Review by Antonio Casarella, Anna Notaro, Carla Laria, Nicola Serra, Elisabetta Genovese, Rita Malesci, Gennaro Auletta, Anna Rita Fetoni

“…Unilateral CIs and BS perform similarly in quiet conditions, but BS significantly improves speech discrimination in noisy environments if loudness between the two devices is appropriately balanced. …”
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

“…Additionally, we demonstrated that the edges which contribute the most to classification performance are the ones connecting primary sensory regions. …”
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