Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence by Xiaoyin Wu, Xiaoyin Wu, Buyu Guo, Buyu Guo, Xingyu Chang, Xingyu Chang, Yuxuan Yang, Yuxuan Yang, Qianqian Liu, Qianqian Liu, Jiahui Liu, Jiahui Liu, Yichen Yang, Yichen Yang, Kang Zhang, Yumei Ma, Songbo Fu, Songbo Fu, Songbo Fu

“…Differentially expressed genes (DEGs) and their functional enrichments were identified. Glycolysis-related genes (GRGs) were selected by combining DEGs, weighted gene co-expression network, and glycolysis candidate genes. …”
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Exploring the Use of an Augmented Reality Device Learning Tool for Multidisciplinary Staff Training on Domestic Abuse and Sexual Violence: Postintervention Qualitative Evaluation by Dilroshini Karunaratne, Jessica Whittock, Amber Moore, Krishna Dasigan, Jasmine Chevolleau, Brent Bartholomew, Nikki Kelly, Charlotte E Cohen

“…A post-intervention evaluation research model was used to explore the feasibility and functionality of the HP as an educational tool. …”
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Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder by Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu

“…Differentially expressed genes between MDD patients and controls were obtained from five datasets (GSE98793, GSE32280, GSE38206, GSE39653, and GSE52790), and 113 machine learning methods were employed to construct MDD diagnostic models. …”
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Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma by Ting Ji, Ting Ji, Juanli Jiang, Juanli Jiang, Xin Wang, Xin Wang, Kai Yang, Kai Yang, Shaojin Wang, Shaojin Wang, Bin Pan, Bin Pan

“…Using the GeneCards ferroptosis gene set (1515 genes), ferroptosis-related differentially expressed genes in macrophages were screened. Eight machine learning algorithms (LASSO, SVM, XGBoost, etc.) were leveraged to identify prognostic genes and build a Cox regression risk model. …”
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Neuronal Mesh Reconstruction from Image Stacks Using Implicit Neural Representations by Xiaoqiang Zhu, Yanhua Zhao, Lihua You

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Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy Labels by Dan Zhang, Yiyuan Ren, Chun Liu, Zhigang Han, Jiayao Wang

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Augmented Graph Convolutional Network for Enhancing Label Reachability by Xiangyi Wang, Fengjun Zhang, Wei Teng, Baoda Liu

“…Furthermore, to capture consistent information across augmented graphs, we incorporate a tailored contrastive loss function, facilitating consistent contextual learning across different augmented graphs. …”
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The novel Vogel's approximation method integrated with a random forest algorithm in the vibration analysis of a two-directional functionally graded taper porous beam: Assessment by Ravikiran Chintalapudi, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…A functionally graded material is a class of composite materials characterized by gradual variations in composition and microstructure, which further induces the respective changes in the material properties. …”
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Scaffolding theory of maturation, cognition, motor performance, and motor skill acquisition: a revised and comprehensive framework for understanding motor–cognitive interactions ac... by Thomas Jürgen Klotzbier, Nadja Schott

“…For example, in aging populations, SMART COMPASS can guide tailored interventions combining cardiovascular training with task-specific motor learning to maintain executive function and reduce fall risk. …”
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Evaluation of eight-style Tai chi on cognitive function in patients with cognitive impairment of cerebral small vessel disease: study protocol for a randomised controlled trial by Bin Chen, Hong-Jia Zhao, Hui Liang, Rui Xia, Xiaoyong Zhong, Xinghui Yan

“…A total of 106 participants will be enrolled and randomised to the 24-week Tai chi exercise intervention group and 24-week health education control group. Global cognitive function and the specific domains of cognition (memory, processing speed, executive function, attention and verbal learning and memory) will be assessed at baseline and 12 and 24 weeks after randomisation. …”
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A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…This method consists of CLAHE, a Gaussian blur filter, a Laplace filter, and the sigmoid function. Using the Hue-Saturation-Value (HSV) color model, CLAHE is applied for contrast enhancement; the Gaussian blur filter removes high-frequency noise, and the Laplace filter enhances edge detection, all targeting the V (Value) channel to refine image details, while the sigmoid function adjusts saturation in the Saturation (S) channel, ensuring natural color balance and improved feature visibility. …”
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A predictive model for functional cure in chronic HBV patients treated with pegylated interferon alpha: a comparative study of multiple algorithms based on clinical data by Ya-mei Ye, Yong Lin, Fang Sun, Wen-yan Yang, Lina Zhou, Chun Lin, Chen Pan

“…The variables baseline log2(HBsAg), gender, age, neutrophil count at week 12, HBsAg decline rate at week 12, and HBcAb at week 12 were closely associated with functional cure and were included in the predictive model. …”
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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Experimental results in both simulated and real-world conditions indicate that our method achieves a 4.5% reduction in normalized wavefront error (NWE) compared to ResNet34, suggesting improved performance over conventional deep learning models. Additionally, by leveraging Walsh function modulation, our approach resolves the multiple-solution problem inherent in phase retrieval techniques. …”
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GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition by Dongcheng Li, Yongqi Xu, Zheming Yuan, Zhijun Dai

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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…In future work, we suggest incorporating large-size datasets that include more diverse patient groups and refining the model with advanced machine-learning models and techniques.…”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Results: By using RELU activation function and leaving out liquid tumors, our results show a remarkable performance of the neural network in classifying cancer and normal samples when applied to pan-cancer data (Validation AUC = 0.9903 and Validation Loss = 0.112). …”
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Impact of Cognitive VR vs. Traditional Training on Emotional Self-Efficacy and Cognitive Function in Patients with Multiple Sclerosis: A Retrospective Study Focusing on Gender Diff... by Maria Grazia Maggio, Alessandra Benenati, Federica Impellizzeri, Amelia Rizzo, Martina Barbera, Antonino Cannavò, Vera Gregoli, Giovanni Morone, Francesco Chirico, Angelo Quartarone, Rocco Salvatore Calabrò

“…Emotional self-efficacy, depression, and anxiety were assessed, alongside cognitive function pre- and post-intervention. Results: Findings indicate that the VR-G showed significant improvements in managing negative emotions, reduced depressive and anxiety symptoms, and enhanced cognitive performance, particularly in verbal learning and working memory. …”
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Cyanobacteria Desertifilum tharense NIOF17/006 as a novel aquafeed additive: effect on the growth, immunity, digestive function, and gene expression of whiteleg shrimp postlarvae by Mohamed Ashour, Ahmed Said Al-Souti, Ahmed Mamoon, Fawzia S. Ali, Mostafa E. Elshobary, Mohamed M. Mabrouk, Ahmed I. A. Mansour, Abdallah Tageldein Mansour, Ehab El-Haroun, Ahmed F. Abdelhamid

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An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…An important metric in this discipline is the Intersection over Union (IoU) loss function, which is common and extensively being used in the boundary analysis. …”
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The Application of Kernel Ridge Regression for the Improvement of a Sensing Interferometric System by Ana Dinora Guzman-Chavez, Everardo Vargas-Rodriguez

“…To sustain the application of the method, four kernel functions were used to estimate the values of the response variable. …”
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