Provision of educational service with the use of distance technologies for disabled persons (case study: the state of Alaska and Nothern regions of the Russian Federation) by V. A. Lipatov

“…In 2008 the subject network of University of the Arctic on distance education and e-learning began to function. The Internet and distance learning creates a new opportunity for disabled persons. …”
Get full text

Extracellular vesicles from mesenchymal stem cells improve neuroinflammation and neurotransmission in hippocampus and cognitive impairment in rats with mild liver damage and minima... by Gergana Mincheva, Victoria Moreno-Manzano, Vicente Felipo, Marta Llansola

“…Methods Male Wistar rats with CCl4-induced mild liver damage were treated with EVs from unmodified MSC or with EVs derived from TGFβ—silenced MSCs and its effects on cognitive function and on neuroinflammation and altered neurotransmission in the hippocampus were analysed. …”
Get full text

Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition by Suman Dutta, Rajkumar U. Zunjare, Anirban Sil, Dwijesh Chandra Mishra, Alka Arora, Nisrita Gain, Gulab Chand, Rashmi Chhabra, Vignesh Muthusamy, Firoz Hossain

“…Here, we aimed to optimize a machine learning-based algorithm to predict the patatin-like phospholipase activity of unknown proteins. …”
Get full text

Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…Lastly, we replace the traditional regression loss with the MPDIoU loss function, enhancing bounding box accuracy and accelerating model convergence. …”
Get full text

MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

“…To fully leverage the complementary properties of RGB and CHM, we present a novel <b>M</b>ultimodal learning-based <b>T</b>ree <b>C</b>rown <b>D</b>etection <b>Net</b>work (MTCDNet). …”
Get full text

Intestinal bacteria translocation promotes β-cell dysfunction in DIO mice by Xiang-Fang Yu, Chetali Gurung, Zhongjia Yu, Wei Xiao, Goher Kerem, Bin Teng, Jian V. Zhang, Zhe Su, Yongjin Zhou, Pei-Gen Ren

“…Our analysis showed deep learning-assisted quantification enhanced the accuracy and objectivity of bacterial tracking. …”
Get full text

Lactylation in cancer: Mechanisms in tumour biology and therapeutic potentials by Yipeng He, Tianbao Song, Jinzhuo Ning, Zefeng Wang, Zhen Yin, Pengcheng Jiang, Qin Yuan, Weimin Yu, Fan Cheng

“…By regulating gene transcription and protein function, lactylation facilitates metabolic reprogramming, enabling tumours to adapt to nutrient limitations and sustain rapid growth. …”
Get full text

Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis. by Shuxiao Ma, Lu Zhou, Yi Liu, Hui Jie, Min Yi, Chenglin Guo, Jiandong Mei, Chuan Li, Lei Zhu, Senyi Deng

“…<h4>Results</h4>Based on the network and machine learning analyses, CBI was developed from the following ten genes: COL6A3, SPI1, HSF1, CD3E, PIK3R4, MZB1, FERMT3, GZMA, PSMB9 and RSF1. …”
Get full text

A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation by Wuxin Wang, Boheng Duan, Weicheng Ni, Jingze Lu, Taikang Yuan, Dawei Li, Juan Zhao, Kaijun Ren

“…We employ a CGAN to non‐iteratively solve the 4DVar cost function and utilize a cycle‐consistent adversarial learning framework for data augmentation. …”
Get full text

Identification of biomarkers related to propionate metabolism in schizophrenia by Weiqi Xie, Zhihong Luo, Jiang Xiao, Xuehua Zhang, Chanjuan Zhang, Ping Yang, Liang Li

“…Research shows propionate metabolism is crucial for neurological function and health. This suggests abnormalities in propionate metabolism may link to SCZ. …”
Get full text

Integrated course on ocular anatomy for ophthalmology clerkship by Li Huang, Xinyu Liu, Yuxian Zou, Xianchai Lin, Zhen Mao

“…Abstract Background Obtaining a full understanding of the anatomical structure of the eyeball and the contents within the eye plays a crucial role in learning eye diseases. However, it can be challenging for beginners to quickly learn, memorize, and apply this anatomical knowledge. …”
Get full text

Foreword

“…This corpus-based study illuminates both the aesthetic and structural dimensions of binomes, offering new insights into their typological classification and linguistic function. In “Persian Learners Mastering Kanji: Strategies, Use, and Efficiency,” Zeinab SHEKARABI and Fatemeh TAJFIROOZ explore kanji learning strategies among Persian-speaking learners of Japanese. …”
Get full text

Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network by Pyae Phyo Kyaw, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…The identification framework is built upon a hybrid PointNet ++ Siamese Network trained with a triplet loss function, ensuring the extraction of discriminative features for accurate cattle identification. …”
Get full text

Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…Serverless computing, or Function-as-a-Service (FaaS), is a cloud computing (CC) model that enables developers to build and run applications without managing traditional server infrastructure. …”
Get full text

Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…Finally, the adoption of an adaptively optimized multitask loss function obviates the necessity for manual allocation of weights. …”
Get full text

Haloperidol versus second-generation antipsychotics on the cognitive performance of individuals with schizophrenia and related disorders: pairwise meta-analysis of randomized contr... by Daniel Prates Baldez, Tais Boeira Biazus, Francisco Diego Rabelo-da-Ponte, Guilherme Pedro Nogaro, Dayane Santos Martins, João Pedro Soledade Signori, Vanessa Gnielka, Ives Cavalcante Passos, Letícia Sanguinetti Czepielewski, Maurício Kunz

“…Compared to SGAs, haloperidol performed worse on cognitive composite (mean difference [MD] −0.13; 95% confidence interval [95%CI] −0.33 to −0.03), processing speed (MD −0.17; 95%CI −0.28 to −0.07), attention (MD −0.14; 95%CI −0.26 to −0.02), motor performance (MD −0.17; 95%CI −0.31 to −0.03), memory and verbal learning (MD −0.21; 95%CI −0.35 to −0.08), and executive function (MD −0.27; 95%CI −0.43 to −0.11). …”
Get full text

Real-world defocus deblurring via score-based diffusion models by Yuhao Li, Haoran Fang, Xiang Lei, Qi Wang, Gang Hu, Jiaqing Dong, Zilong Li, Jiabin Lin, Qiegen Liu, Xianlin Song

“…The method trains a score network by learning the score function of focused images at different noise levels and reconstructs high-quality images through reverse-time stochastic differential equation (SDE). …”
Get full text

A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…Then, the model employs an improved TCN layer and a BiLSTM layer for feature extraction and learning. The TCN layer incorporates batch normalization, an optimized activation function (Leaky ReLU), and a dropout mechanism to enhance its ability to capture multi-scale temporal features. …”
Get full text

Comprehensive behavioural study of senescence-accelerated mouse prone 8 and senescence-accelerated mouse prone 10 by Hiroshi Ueno, Yu Takahashi, Shinji Murakami, Kenta Wani, Tetsuji Miyazaki, Yosuke Matsumoto, Motoi Okamoto, Takeshi Ishihara

“…Rodents, such as mice, have been used to understand age-related changes in brain function, and aging has been studied using senescence-accelerated mouse (SAM) strains. …”
Get full text

Differences in neuronal ciliation rate and ciliary content revealed by systematic imaging-based analysis of hiPSC-derived models across protocols by Walther Haenseler, Melanie Eschment, Melanie Eschment, Beth Evans, Marta Brasili, Marta Brasili, Joana Figueiro-Silva, Fee Roethlisberger, Fee Roethlisberger, Affef Abidi, Affef Abidi, Darcie Jackson, Martin Müller, Martin Müller, Sally A. Cowley, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu

Get full text