Identifying predictors of response to oral non-steroidal anti-inflammatory drugs and paracetamol in osteoarthritis: a hypothesis-driven protocol for an OA Trial Bank individual par... by Michael Doherty, Jie Wei, Yilin Xiong, Marienke van Middelkoop, Weiya Zhang, Monica S M Persson

“…To our knowledge, this has not been undertaken for oral non-steroidal anti-inflammatory drugs (NSAIDs), including paracetamol, in OA. In this IPD meta-analysis, we aim to identify RCTs with specific mechanistic features related to OA pain, such as joint inflammation. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…Machine learning algorithms were utilized combined with different audio feature sets to analyze these recordings in conjunction with PHQ-4 questionnaire scores. …”
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Childhood trauma and recent stressors in predicting subclinical psychotic symptoms among Chinese university students in southwest China: a machine learning analysis within a gender... by Jay Pan, Samuele Cortese, Gang Wang, Tao Hu, Steve Lukito, Miguel Garcia-Argibay, Wanjie Tang, Siqi Wu, Zeyuan Sun, Qiaolan Liu, Shuang Xue, Zijian Deng, Qijun Zhao, Kadan Anoop, Natali Bozhilova, Aldo Conti, Chunhan Jin, Changjian Qiu, Katya Rubia

“…We examined the relationship between SPS and individual stressors using χ2 tests, multicollinearity analysis and Pearson heatmaps. Feature engineering, t-distributed stochastic neighborhood embedding (t-SNE) and Shapley Additive Explanation values helped identify the most important predictors. …”
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Quantification analysis of the expression of tumor-associated proteins in serum samples from patients with ovarian cancer and those with other tumor location. Possibilities of thei... by T. S. Bobrova, Yu. V. Chuyev, K. I. Zhordania

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Spectral Components of Honey Bee Sound Signals Recorded Inside and Outside the Beehive: An Explainable Machine Learning Approach to Diurnal Pattern Recognition by Piotr Książek, Urszula Libal, Aleksandra Król-Nowak

“…Extra Trees and Convolutional Neural Network (CNN) classifiers were trained to identify diurnal activity patterns. Analysis focused on feature importance, particularly spectral characteristics. …”
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Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel by Lucas Agobert, Laurent Gerbaud, Benoit Delinchant

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Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms i... by Yue Chen, Weili Kou, Wenna Miao, Xiong Yin, Jiayue Gao, Weiyu Zhuang

“…The performance of four classifiers (RF, SVM, KNN, CART) in burn detection was evaluated through a comparative analysis of their spectral–spatial discrimination capabilities. …”
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Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

“…In recent years, the detection and analysis of near-fault pulse-like ground motions have become increasingly crucial due to their potential to cause significant structural damage during seismic events. …”
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The Evolution of Machine Learning in Vibration and Acoustics: A Decade of Innovation (2015–2024) by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…The increasing demands for the reliability of modern industrial equipment and structures necessitate advanced techniques for design, monitoring, and analysis. This review article presents the latest research advancements in the application of machine learning techniques to vibration and acoustic signal analysis from 2015 to 2024. …”
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Atypical presentation in patients with 17 α-hydroxylase deficiency caused by a deletion in the CYP17A1 gene: short stature by Semih Bolu, Recep Eröz, Mehmet Tekin, Mustafa Doğan

“…STR fragment analysis and multiplex ligation dependent probe amplification (MLPA) analysis was also performed to detect mutations associated with congenital adrenal hyperplasia (CAH) in the CYP17A1 gene. …”
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Intelligent Diagnosis of Rolling Element Bearings Under Various Operating Conditions Using an Enhanced Envelope Technique and Transfer Learning by Ali Davoodabadi, Mehdi Behzad, Hesam Addin Arghand, Somaye Mohammadi, Len Gelman

“…The main innovation is applying Transfer Learning (TL) with fine-tuning to improve model accuracy in identifying REB conditions by leveraging features learned from diverse datasets. An innovative algorithm is also introduced to identify resonance regions for optimal filter selection in envelope analysis, improving fault-related feature extraction and reducing noise. …”
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Complete plastome and mitogenome assembly of endangered tree Karpatiosorbus bristoliensis reveals phylogenetic architecture for Sorbus sensu lato (Rosaceae) by Qiang Li, Ran Wei

“…Simple sequence repeat (SSR) analysis detected 48–52 SSRs per species, predominantly mononucleotide repeats. …”
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Novel ATOH7 mutation and structural characterization in families with optic nerve hypoplasia by Muhammad Ikram Ullah, Rubina Dad, Zaira Rehman, Muhammad Shakil, Abdullah Alsrhani, Ayman Ali Mohammed Alameen, Heba Bassiony Ghanem, Emad Manni, Muhammad Umer Khan, Muhammad Atif

“…AIM: To detect and segregate causative mutations in congenital families with optic nerve hypoplasia (ONH). …”
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Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility... by Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

“…The current digital care pathway for epilepsy (DCPE) lacks the integration of data-driven seizure detection, which could potentially enhance epilepsy treatment and management. …”
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Ultrasound and genetic findings in a case series of fetuses presenting vertebral defects by Wanqin Xie, Lin Zhou, Ai Hu, Jing Chen, Jialun Pang, Hui Xi, Yingchun Luo, Jiancheng Hu, Shuting Yang, Xiaoyang Gao, Hanzhe Kuang, Wanglan Tang, Rui Liu, Silong Wang, Ying Peng

“…Chromosome microarray analysis (CMA) as a first-line diagnostic test was performed. …”
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Problems in the formation and implementation of the methodology for investigating homicides related to domestic violence by R. L. Stepaniuk, V. O. Husieva, V. V. Kikinchuk

“…Characteristics of the practical implementation of the methodology for investigating homicides committed in connection with domestic violence have been provided. A systematic analysis of the elements of the mechanism of domestic homicide and domestic violence, the activities of law enforcement agencies to prevent, detect and investigate this type of homicide, as well as scientific recommendations concerning the methodological and forensic support of pre-trial investigation in criminal proceedings on homicide has been carried out. …”
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Accuracy of Surface Water Maps Derived from Radar Satellite Imagery Compared to Multispectral Satellite Imagery by Katelyn Kirby, Colin D. Rennie, Riley Poot, Sean Ferguson, Julien Cousineau, Ioan Nistor

“…In flooded conditions, dual polarization produced the best results, and for the detection of ice, cross-polarization produced the best results. …”
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A practical method to predict the critical zone of coastal cliffs at high risk of failure considering the effects of fluid–structure interaction by Ali Khosravifardshirazi, Akbar A. Javadi, Ali Johari, Mohammad Akrami

“…Abstract Coastal cliffs are vital geological features that support unique ecosystems but are increasingly threatened by rising sea levels and intensified storm activity, which amplify the impact of wave action on coastal dynamics. …”
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Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings by Baoxiang Wang, Guoqing Liu, Jihai Dai, Chuancang Ding

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Harnessing Fast Fourier Transform for Rapid Community Travel Distance and Step Estimation in Children with Duchenne Muscular Dystrophy by Erik K. Henricson, Albara Ah Ramli

“…The proposed FFT-based step frequency detection approach, combined with regression-derived stride length estimation, enables precise measurement of temporospatial gait features across various walking and running speeds. …”
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