Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot Study by Luis Perotti, Oskar Stamm, Hannah Strohm, Jürgen Jenne, Marc Fournelle, Nils Lahmann, Ursula Müller-Werdan

“…Muscle activation and thickness were continuously tracked using a semi-automated algorithm. The preferential activation ratio (PAR) was calculated to measure muscle activation, and statistical comparisons between groups were made using ANOVA. …”
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An exploratory network analysis to investigate schizotypy’s structure using the ‘Multidimensional Schizotypy Scale’ and ‘Oxford-Liverpool Inventory’ in a healthy cohort by Pierfrancesco Sarti, Werner Surbeck, Giacomo Cecere, Noemi Dannecker, Rahel Horisberger, Nils Kallen, Wolfgang Omlor, Anna Steiner, Dario Palpella, Marius Brandenberg, Victoria Edkins, Nicolas Langer, Johanna M. C. Blom, Philipp Homan

“…EGA was conducted to identify dimensional structures within each scale, utilising the graphical lasso algorithm for network estimation and the Walktrap community detection method for clustering. …”
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Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma by Yu Mori, Hainan Ren, Naoko Mori, Munenori Watanuki, Shin Hitachi, Mika Watanabe, Shunji Mugikura, Kei Takase

“…A support vector machine algorithm with 3-fold cross-validation was used to construct and validate the models. …”
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Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach by Phan Thanh Phuc, Phung-Anh Nguyen, Nam Nhat Nguyen, Min-Huei Hsu, Nguyen Quoc Khanh Le, Quoc-Viet Tran, Chih-Wei Huang, Hsuan-Chia Yang, Cheng-Yu Chen, Thi Anh Hoa Le, Minh Khoi Le, Hoang Bac Nguyen, Christine Y Lu, Jason C Hsu

“…For model development and validation, 1,300,829 visits were used, while an additional 636,863 visits were reserved for external testing. …”
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The Role of Immunohistochemistry as a Surrogate Marker in Molecular Subtyping and Classification of Bladder Cancer by Tatiana Cano Barbadilla, Martina Álvarez Pérez, Juan Daniel Prieto Cuadra, Mª Teresa Dawid de Vera, Fernando Alberca-del Arco, Isabel García Muñoz, Rocío Santos-Pérez de la Blanca, Bernardo Herrera-Imbroda, Elisa Matas-Rico, Mª Isabel Hierro Martín

“…Further research is required to determine the optimal combination of markers, establish a consensus diagnostic algorithm, and validate IHC through large-scale trials. …”
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Changes in sarcopenia and incident cardiovascular disease in prospective cohorts by Qingyue Zeng, Lijun Zhao, Qian Zhong, Zhenmei An, Shuangqing Li

“…Sarcopenia status was assessed using the 2019 Asian Working Group for Sarcopenia (AWGS) algorithm and categorized as non-sarcopenia, possible sarcopenia, or sarcopenia. …”
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Deceptive Cyber-Resilience in PV Grids: Digital Twin-Assisted Optimization Against Cyber-Physical Attacks by Bo Li, Xin Jin, Tingjie Ba, Tingzhe Pan, En Wang, Zhiming Gu

“…A non-dominated sorting genetic algorithm (NSGA-III) is employed to achieve Pareto-optimal solutions, ensuring high system resilience while minimizing computational burdens. …”
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Risk of Invasive Escherichia coli (E. coli) Disease After Elective Urologic Procedures Among Older Adults in the United States by Maureen P. Neary, Maryaline Catillon, Nina Ahmad, Marjolaine Gauthier-Loiselle, Jeroen Geurtsen, Alice Qu, Corinne Willame, Martin Cloutier, Antoine C. El Khoury, Elie Saade

“…Sensitivity analyses within 90 days and using broader claims-based algorithm for IED were performed. Results Overall, 141,418 patients had urologic procedures with antibiotic prophylaxis, 200,062 had them without antibiotic prophylaxis, and 424,254 had no procedures. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Precision and F-measure are 99.99% and 99.89%, respectively, outperforming current models like CNN, DNN, LSTM, and GAN-DRL, while efficiently reducing false positives and false negatives.…”
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Chest CT-based analysis of radiomic and volumetric differences in epicardial adipose tissue in HFrEF patients with and without AF by Xiu-ying Song, Yu-lan Ma, Jia-min Han, Qian Xie, Hong-xia Zhang, Yu-hua Ma, Jian-feng Hu, Ai-rong Yang

“…Feature selection was performed using the Boruta algorithm embedded in a five-fold cross-validation framework. …”
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Target Recognition Method Based on Graph Structure Perception of Invariant Features for SAR Images by Jingyi CAO, Yang ZHANG, Ya’nan YOU, Yamin WANG, Feng YANG, Weijia REN, Jun LIU

“…The t-Distributed Stochastic Neighbor Embedding (t-SNE) method is used to qualitatively evaluate the algorithm’s classification ability, while metrics like accuracy, recall, and F1 score are used to quantitatively analyze key units and overall network performance. …”
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iSeqSearch: incremental protein search for iBlast/iMMSeqs2/iDiamond by Hyunwoo Yoo, Mohammadsaleh Refahi, Robi Polikar, Bahrad A. Sokhansanj, James R. Brown, Gail L. Rosen

“…Methods One recently introduced incremental search method is iBlast, which wraps the BLAST sequence search method with an algorithm to reuse previously processed data and thereby increase search efficiency. …”
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Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

“…The validation and test results obtained for each of the soil attributes for both the algorithms were most comparable with the DL-MLP algorithm depicting the attributes’ most intricate spatial organization details, compared to the 1D-CNN model. …”
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Comparative characteristics of the main phenotypes of systemic sclerosis by R. U. Shayakhmetova, L. P. Ananyeva, M. N. Starovoitova, O. V. Desinova, O. A. Koneva, O. B. Ovsyannikova, L. A. Garzanova, M. V. Cherkasova, R. T. Alekperov

“…Further study of anti-U1RNP-positive SS will be able to create a management algorithm and to more clearly define the risks and prognosis of the disease for this group of patients.…”
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Single-Cell Analysis Reveals Aspirin Restores Intervertebral Disc Integrity via Ferroptosis Regulation by Niu H, Qi H, Zhang P, Meng H, Liu N, Zhang D

“…The CDKN1A⁺aNPC subtype increased progressively with disease severity, while the matrix-supporting ABI3BP⁺mNPC and SOD3⁺mNPC subtypes significantly decreased in advanced degeneration. …”
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Imbalance between skeletal muscle and intermuscular fat predicts treatment failure in Crohn’s disease: an imaging biomarker for risk stratification by Ziman Xiong, Yufan Wang, Yuchen Jiang, Yaqi Shen, Zhen Li

“…Automated CTE segmentation algorithm quantified skeletal muscle and IMAT volumes at baseline. …”
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Effects of Increasing Temperature on Bacterial Community Diversity in Mixed Stands of <i>Artemisia argyi</i> and <i>Solidago canadensis</i> in Eastern China by Haochen Yu, Guangqian Ren, Zhiyun Huang, Shanshan Qi, Biying Zhao, Xue Fan, Zhaoqi Zhu, Zhicong Dai, Daolin Du

“…The random forests algorithm identified 14 taxa as biomarkers and a model was established to correlate <i>S. canadensis</i> invasion community soil microbiota with progressive warming. …”
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Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

“…Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power management, (ii) integration into the electrical grid, (iii) flexible allocation of power resources. While deep learning algorithms have shown promise in energy applications, single algorithms often struggle with unstable predictions and limited generalizability for predicting photovoltaic (PV) output. …”
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Analysis of ignition and flame geometric characteristics of lubricating oil leaking from automotive engine onto hot surfaces. by Lei Bai, Changchun Liu, Liubing Wang

“…For a 0.1 ml droplet, Dmax occurs earliest (tmax = 1.98 s), while for a 0.5 ml droplet, Dmax appears the latest (tmax = 3.22 s). …”
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The Optimization of Stand Structure Can Significantly Alleviate the Flammability of Forest Ecosystems by Yan Zhang, Xiangwen Deng, Xiaoyong He, Xiaolong Zhang, Zhihong Huang, Liang Chen, Shuai Ouyang, Wenhua Xiang

“…Rutaceae and Cucurbitaceae plants exhibited relatively high flammability, while Arecaceae plants demonstrated characteristics of low flammability. …”
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