Impact of Pulmonary Hypertension and Patent Ductus Arteriosus in Preterm Infants with Presumed Pulmonary Hypoplasia by Sol Kim, Yumi Seo, Moon-Yeon Oh, Min Soo Kim, Sook Kyung Yum

“…Multivariable logistic regression analysis was performed to assess the association of PPH and pulmonary hypertension or delayed PDA closure with in-hospital outcomes. …”
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Effectiveness of Virtual Simulations Versus Mannequins and Real Persons in Medical and Nursing Education: Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trial... by Nan Jiang, Yuelun Zhang, Siyu Liang, Xiaohong Lyu, Shi Chen, Xiaoming Huang, Hui Pan

“…All pooled estimates were based on random-effects models and assessed by trial sequential analyses. …”
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Trait dissociation in borderline personality disorder: influence on immediate therapy outcomes, follow-up assessments, and self-harm patterns by Ana Macchia, David Mikusky, Cedric Sachser, Annabel Sandra Mueller-Stierlin, Sandra Nickel, Niklas Sanhüter, Birgit Abler

“…To analyse the influence of dissociation on treatment outcomes, we employed linear mixed models.Results: Psychopathology (SCL-90, BDI-II and BSL) exhibited significant reductions at post-treatment and follow-up assessments when compared to baseline measurements. …”
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The prevalence and prognostic significance of Sarcopenia and Adipopenia in Pleural Mesothelioma by Andrew C. Kidd, Gordon W. Cowell, Geoffrey A. Martin, Jenny Ferguson, Dean A. Fennell, Matt Evison, Kevin G. Blyth

“…Overall survival associations were evaluated using Kaplan–Meier methodology ± Cox proportional hazards models. Results: T4 and L3 measurements were possible in 111/111 and 91/111 (82 %). …”
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Robust molecular subgrouping and reference-free aneuploidy detection in medulloblastoma using low-depth whole genome bisulfite sequencing by Dean Thompson, Jemma Castle, Martin Sill, Stefan M. Pfister, Simon Bailey, Debbie Hicks, Steven C. Clifford, Edward C. Schwalbe

“…Low-pass WGBS performs equivalently to array-based methods at comparable cost. …”
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Leukopenia and thrombocytopenia in dengue patients: a cross-sectional study from a tertiary hospitals in Koshi Province, Nepal by Birendra Prasad Gupta, Surendra Uranw, Vivek Prasad Gupta, Elisha Deuba, Ajay Kumar Sah, Santosh Chaudhary, Chandramani Wagle

“…Data on demographics, clinical features, leukocytes count, and platelet counts were collected using Case Report Form (CRF). …”
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Effect of the organoselenium compound 974zh on the TLR2 and TLR4 gene expression in blood and spleen cells of experimental animals when co-administered with Yersinia pestis EV by A. B. Pyatidesyatnikova, V. I. Dubrovina, O. V. Yurieva, K. M. Korytov, T. I. Ivanova, V. A. Potapov, M. V. Musalov, S. V. Balakhonov

“…When assessing innate immunity using the example of blood and spleen cells of animal models, features of the TLR2 and TLR4 gene expression were revealed in response to the introduction of the Y. pestis EV vaccine strain against the background of immunomodulation with the 974zh. …”
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A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems by Fernando Hermosillo-Reynoso, Deni Torres-Roman

“…Since multi-view learning leverages complementary information from multiple feature sets to improve model performance, a tensor-based data fusion layer for neural networks, called Multi-View Data Tensor Fusion (MV-DTF), is used. …”
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Identification of FDFT1 and PGRMC1 as New Biomarkers in Nonalcoholic Steatohepatitis (NASH)-Related Hepatocellular Carcinoma by Deep Learning by Liu Q, Yang Y, Wang Y, Wei S, Yang L, Liu T, Yu Z, Feng Y, Yao P, Zhu Q

“…Therefore, DL, “limma package”, weighted gene co-expression network analysis (WGCNA), and Protein–Protein Interaction Networks (PPI) were used to screen feature genes. Real-time quantitative PCR was used to validate the expression of feature genes in the NAFLD mice model. …”
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Fault Detection and Identification for Nonlinear Process Based on Inertia-Based KEPCA and a New Combined Monitoring Index by Loubna El Fattahi, El Hassan Sbai

“…Second, it constructs the model. Before data reduction, KEPCA transforms input data into high-dimensional feature space based on a nonlinear kernel function and automatically determines the number of principal components (PCs) based on the computation of the inertia. …”
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Numerical Simulation Study on the Dynamic Processes and Evolution Laws of Multiple Granular Flows in a Gully by LEI Ming, ZHANG Liang, YE Chen, WANG Xiekang

“…Secondly, we perform numerical simulations of two laboratory physical model experiments on granular flow with different granule sizes reported in the literature. …”
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Artificial intelligence system for predicting hand-foot skin reaction induced by vascular endothelial growth factor receptor inhibitors by Taro Yamanaka, Jumpei Ukita, Dongyi Xue, Chihiro Kondoh, Seiwa Honda, Maiko Noguchi, Yoshiko Yonejima, Kiyomi Nonogaki, Kohji Takemura, Rika Kizawa, Takeshi Yamaguchi, Yuko Tanabe, Koichi Suyama, Keisuke Ogaki, Yuji Miura

“…At a high-specificity cutoff, the ensemble AI had a positive predictive value of 0.824, suggesting potential clinical utility for identifying high-risk patients. Feature importance analysis revealed heavier weight, good performance status, lack of prior VEGFR inhibitor exposure, and baseline skin toxicity as risk factors. …”
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Flexural Strength of Cold-Formed Steel Unstiffened and Edge-Stiffened Hexagonal Perforated Channel Sections by G. Beulah Gnana Ananthi, Dinesh Lakshmanan Chandramohan, Dhananjoy Mandal, Asraf Uzzaman

“…To accommodate building services, these members often feature perforations—typically circular and unstiffened—produced by punching. …”
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Research on Iterative Learning Method for Lower Limb Exoskeleton Rehabilitation Robot Based on RBF Neural Network by Jing Li, Huimin Jiang, Moyao Gao, Shuang Li, Zhanli Wang, Zaixiang Pang, Yang Zhang, Yang Jiao

“…We propose a novel control strategy integrating iterative learning with RBF neural network-based sliding mode control, featuring a single hidden-layer pre-feedback architecture. …”
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Design of a ROS2-Based Hybrid Aerial-Ground Robot for Autonomous Inspection Applications by Mutaz Ryalat, Ghaith Al-Refai, Natheer Almtireen, Hisham ElMoaqet

“…This study presents the design, modelling, and experimental validation of a lightweight hybrid aerial-ground robot developed for extended-duration inspection and monitoring tasks. …”
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From gut to joint: the protective impact of Eubacterium rectale on rheumatoid arthritis by Xiaoyang Liu, Xiaoyang Liu, Xiaoyang Liu, Ruihe Wu, Ruihe Wu, Ruihe Wu, Yuxin Fan, Yuxin Fan, Yuxin Fan, Kaili Qin, Kaili Qin, Kaili Qin, Baochen Li, Baochen Li, Baochen Li, Xiaofeng Li, Xiaofeng Li, Xiaofeng Li, Chong Gao, Caihong Wang, Caihong Wang, Caihong Wang

“…Furthermore, E. rectale was used to treat the arthritis model mice by gavage treatment, and we evaluated joint inflammation and immune cell profile in mice. …”
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Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…The key innovation lies in integrating these non-linear regression models with robust data preprocessing steps, including dimensionality reduction via Principal Component Analysis (PCA), categorical feature encoding through Leave-One-Out (LOO), and outlier detection using Isolation Forest. …”
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Discovery and in vitro characterization of a human anti-CD36 scFv by Cecilia Mata-Cruz, Cecilia Mata-Cruz, Sandra L. Guerrero-Rodríguez, Keyla Gómez-Castellano, Gregorio Carballo-Uicab, Juan Carlos Almagro, Juan Carlos Almagro, S. Mayra Pérez-Tapia, S. Mayra Pérez-Tapia, S. Mayra Pérez-Tapia, Marco A. Velasco-Velázquez

“…The phenotypic changes induced by CD36 ligands were assessed in vitro by: i) oil red staining, ii) tumorsphere assays, and iii) RT-qPCR.ResultsWe identified an anti-CD36 scFv, called D11, that competes with a commercial anti-CD36 antibody with proven efficacy in disease models. D11 binds to CD36 expressed in the membrane of the cellular models employed and reduces the uptake of CD36 ligands. …”
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Establishing a pediatric solid tumor PDX biobank for precision oncology research by Larissa Akemi Kido, Milena Rodrigues Marusco, Ellen Aparecida da Silva, Laís Do Carmo, Ana Beatriz Teodoro Borges, Felipe Luz Torres Silva, Juliana Silveira Ruas, Dieila Giomo de Lima, Larissa de Abreu Fernandes, Camila Maia Martin Daiggi, Izilda Aparecida Cardinalli, Mayara Ferreira Euzébio, Patricia Yoshioka Jotta, Mariana Maschietto, Priscila Pini Zenatti

“…Developing advanced preclinical models and targeted therapies is essential for reducing cancer-related deaths in children with solid tumors. …”
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LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

“…However, datasets for low-resolution face detection are scarce, leading to poor detection performance of the models. This paper aims to solve Retinaface’s weak face recognition capability in low-resolution scenarios and its potential inaccuracies in face bounding box localization when faces are at extreme angles or partially occluded. …”
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