Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson’s disease by Jia Fu, Jing Zhao, Xue Zhao, Na Mi, Chao Zhang, Xueying Li, Lei Wu, Lige Han, Yali Zhang, Lifen Yao

“…Subsequent analyses included functional enrichment, immune profiling, drug prediction, and single-cell RNA sequencing. …”
Get full text

NSGA-II-TLBO algorithm for optimizing campus environment art design scheme by Huicong Wang, Meng Zhang, Hongwei Yang

“…The Genetic Learning Test (GLT) data set is used to evaluate the efficiency and effectiveness of genetic algorithms in learning and optimization tasks. …”
Get full text

Automated Recognition of Submerged Body-like Objects in Sonar Images Using Convolutional Neural Networks by Yan Zun Nga, Zuhayr Rymansaib, Alfie Anthony Treloar, Alan Hunter

“…A robust, automated method for detecting human body-shaped objects is required to maximise operational functionality. The use of a convolutional neural network (CNN) for automatic target recognition (ATR) is proposed. …”
Get full text

AN APPROACH TO MANAGING UNIVERSITY STUDENTS’ SELF-STUDY BASED ON INTERDISCIPLINARY E-PROJECTS by Yu. V. Krasavina, O. F. Shikhova

“…The groups of didactic properties and ICT didactic functions are allocated and analysed. Types of educational projects are presented. …”
Get full text

Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…Pathway analysis was conducted to provide the cellular functions involved in CC progression. The study identified a shared 18-miRNA panel for both tissue and discharge, with which the prediction model distinguished HSIL and AIS from normal samples with an accuracy of 90.9%. …”
Get full text

Identification and validation of ANXA3 and SOCS3 as biomarkers for acute myocardial infarction related to sphingolipid metabolism by Ling Sun, Lingyan He, Hai-Hua Pan, Chang-Lin Zhai

“…Single-cell RNA sequencing (scRNA-seq) identified key cell types and their functions. Biomarkers were validated via reverse transcription quantitative polymerase chain reaction (RT-qPCR). …”
Get full text

COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case by Anastasios E. Giannopoulos, Sotirios T. Spantideas, George Levis, Alexandros S. Kalafatelis, Panagiotis Trakadas

“…Central to its architecture are xApps hosted on the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), which optimize network functions in real time. However, the concurrent operation of multiple xApps with conflicting objectives can lead to suboptimal performance. …”
Get full text

The influence of correlated features on neural network attribution methods in geoscience by Evan Krell, Antonios Mamalakis, Scott A. King, Philippe Tissot, Imme Ebert-Uphoff

“…We show that correlation may dramatically increase the variance of the derived attributions, and investigate the cause of the high variance: is it because different trained networks learn highly different functions or because XAI methods become less faithful in the presence of correlation? …”
Get full text

Point Cloud Geometry Scalable Coding Using a Resolution and Quality-Conditioned Latents Probability Estimator by Daniele Mari, Andre F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

“…While scalable coding is a well-known and addressed feature in conventional image and video codecs, this paper focuses on a new and very different problem, notably the development of scalable coding solutions for deep learning-based Point Cloud (PC) coding. The peculiarities of this 3D representation make it hard to implement flexible solutions that do not compromise the other functionalities of the codec. …”
Get full text

Segmentation of Leukoaraiosis on Noncontrast Head CT Using CT‐MRI Paired Data Without Human Annotation by Wi‐Sun Ryu, Jae W. Song, Jae‐Sung Lim, Ju Hyung Lee, Leonard Sunwoo, Dongmin Kim, Dong‐Eog Kim, Hee‐Joon Bae, Myungjae Lee, Beom Joon Kim

“…In an independent clinical cohort (n = 867), LA volume was independently associated with age, vascular risk factors, and 3‐month functional outcomes. Interpretation Our deep learning algorithm offers a reproducible method for LA segmentation on CT, bridging the gap between CT and MRI assessments in patients with ischemic stroke.…”
Get full text

BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality by Haneen Alsuradi, Joseph Hong, Alireza Sarmadi, Robert Volcic, Hanan Salam, S. Farokh Atashzar, Farshad Khorrami, Mohamad Eid

“…A promising control strategy for supernumerary effectors involves utilizing electroencephalography (EEG) through motor imagery (MI) functions. In this work, we investigate whether MI activity associated with a supernumerary effector could be reliably differentiated from that of a natural one, thus addressing the concern of concurrency. …”
Get full text

Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification by M. Venkata Krishna Reddy, L. Raghavendar Raju, Kashi Sai Prasad, Dr. D Anitha Kumari, Vadlamani Veerabhadram, Nagendar Yamsani

“…EAB-CDC is not a standalone model but a functional part applied to the architecture for discriminative feature extraction by sum-pooling and multi-layer attention mechanisms. …”
Get full text

MaxEnt-Based Distribution Modeling of the Invasive Species <i>Phragmites australis</i> Under Climate Change Conditions in Iraq by Nabaz R. Khwarahm

“…<i>Phragmites australis</i> (common reed), a recently introduced invasive species in Iraq, has swiftly established itself as a vigorous perennial plant, significantly impacting the biodiversity and ecosystem functions of Iraqi ecoregions with alarming consequences. …”
Get full text

Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…In terms of materials, metal oxide semiconductors, conductive polymers, carbon-based nanomaterials, and their composites have demonstrated enhanced sensitivity and selectivity through strategies such as doping, surface functionalization, and heterojunction engineering, while also enabling reduced operating temperatures. …”
Get full text

BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

“…Abstract The glucocorticoid receptor (GR) is a critical nuclear receptor that regulates a broad spectrum of physiological functions, including stress adaptation, immune response, and metabolism. …”
Get full text

A New Proposal for Intelligent Continuous Controller of Robotic Finger Prostheses Using Deep Deterministic Policy Gradient Algorithm Through Simulated Assessments by Guilherme de Paula Rúbio, Matheus Carvalho Barbosa Costa, Claysson Bruno Santos Vimieiro

Get full text

From genes to drugs: targeting Alzheimer’s with circadian insights by Zekun Li, Xiaohan Li, Lei Su, Zibo Zhang, Hongmin Guo, Yihao Ge, Fang Dong, Feng Zhang

“…Candidate diagnostic biomarkers for AD were screened by machine learning. ROC and nomograms were constructed to evaluate candidate biomarkers. …”
Get full text

Intellectual Rooms based on AmI and IoT technologies by Radhakrishnan Delhibabu, Pham Tuan Anh, Nataly Zhukova, Alexey Subbotin

“…The objective is to enhance patient care by using machine learning to process data from readily available devices.MethodsWe developed a method for creating Intellectual Rooms that utilize a complex model integrating medical domain knowledge with machine learning for image processing. …”
Get full text

ERBB3-related gene PBX1 is associated with prognosis in patients with HER2-positive breast cancer by Shufen Mo, Haiming Zhong, Weiping Dai, Yuanyuan Li, Bin Qi, Taidong Li, Yongguang Cai

“…Utilizing three distinct machine learning algorithms, we identified three signature genes-PBX1, IGHM, and CXCL13-that exhibited significant diagnostic value within the diagnostic model. …”
Get full text

Detection of Elementary White Mucosal Lesions by an AI System: A Pilot Study by Gaetano La Mantia, Federico Kiswarday, Giuseppe Pizzo, Giovanna Giuliana, Giacomo Oteri, Mario G. C. A. Cimino, Olga Di Fede, Giuseppina Campisi

Get full text