A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…From the resulting intrinsic mode functions (IMFs), statistical time domain features—peak factor, impulse factor, waveform factor, and clearance factor—are extracted to form feature vectors. …”
Get full text

State-and-Evolution Detection Model for Characterizing Farmland Spatial Pattern Variation in Hengyang Using Long Time Series Remote Sensing Product by Yunong Ma, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Xiongwei Guan, Xiangnan Liu, Meiling Liu

“…Finally, spatiotemporal evolution features, namely evolution times, evolution duration, and dominant evolution pattern, were quantified. …”
Get full text

Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…A custom quantum layer was incorporated to boost the model’s feature extraction capabilities, enabling effective differentiation between healthy and OA-affected knees in medical imaging data. …”
Get full text

Clinical features among adult‐onset type 1 diabetes, distribution of subtypes, and differences in probable and definite slowly progressive insulin‐dependent diabetes mellitus: A si... by Hiroko Takaike, Junnosuke Miura, Satoshi Takagi, Shota Mochizuki, Tetsuya Babazono

“…ABSTRACT Aims In Japan, type 1 diabetes (T1D) is classified into three subtypes based on its onset patterns; however, the proportion of each subtype remains unexplored. …”
Get full text

Leisure Activities in Political Perspective by T. V. Vdovenko, N. V. Gants

Get full text

Benefits of Using Design Patterns on Microcontrollers in Implemented IoT Applications by Marek Babiuch, Petr Foltynek

“…It emphasizes a modular and clean design that increases development efficiency and enables easy deployment of new features or integration of new technologies, such as new types of sensors, upgraded development boards, or improved development tools and frameworks. …”
Get full text

SHIFTING PATTERNS IN GLOBAL FLOWS OF TRADE, CAPITAL, MIGRATION AND INFORMATION by MARINA POPA

Get full text

DISTRIBUTION PATTERN FOR HLA SPECIFICITIES IN THE PATIENTS WITH ACUTE MYELOID LEUKEMIA by I. R. Ramilyeva, Zh. K. Burkitbaev, S. A. Abdrakhmanova, A. A. Turganbekova, D. K. Baimukasheva, E. B. Zhiburt

Get full text

Triple-negative breast cancer: Pattern of recurrence and survival outcomes by Shyny Reddy Chintalapani, Stalin Bala, Meher Lakshmi Konatam, Sadashivudu Gundeti, Siva Prasad Kuruva, Monalisa Hui

Get full text

Applying Spectral Clustering to Decode Mobility Patterns in Athens, Greece by Eirini Andrinopoulou, Panagiotis G. Tzouras

Get full text

Pattern Design of Ethnic Clothing Based on Stretchable Nanofiber Fabrics by Xueqing Lu, Jing Wen, Xiaohua Shao

“…Through the influence of image rotation, scale change, noise interference, and other factors, a method for extracting features of ethnic clothing patterns based on image rotation, scale change, and noise interference is proposed. …”
Get full text

From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

Get full text

An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…An agent-based model (ABM) is developed to analyze the dynamic risks and vulnerabilities of population and building agents under different rainfall scenarios, capturing macroscopic emergent patterns from individual behavior rules and analyzing them in both time and space dimensions. …”
Get full text

Active vision of bees in a simple pattern discrimination task by HaDi MaBouDi, Jasmin Richter, Marie-Geneviève Guiraud, Mark Roper, James AR Marshall, Lars Chittka

Get full text

Macroscale-area patterning of three-dimensional DNA-programmable frameworks by Feiyue Teng, Honghu Zhang, Dmytro Nykypanchuk, Ruipeng Li, Lin Yang, Nikhil Tiwale, Zhaoyi Xi, Mingzhao Liu, Mingxin He, Shuai Zhang, Oleg Gang

“…We achieve the selective growth of DNA origami superlattices into customized surface patterns with feature sizes in the tens of microns across macroscale areas using polymer templates patterned by electron-beam lithography. …”
Get full text

Winding printed electrode patterns to customize soft fiber pumps by Yuxuan Qi, Tao Jin, Jieyu Wang, Sicheng Yi, Yue Wang, Songyi Zhong, Tao Yue, Quan Zhang, Yingzhong Tian, Long Li, Yangqiao Lin

Get full text

Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…However, this approach often overlooks the crucial significance of the spatial dependency relationships among trajectory points, posing challenges for comprehensively capturing the intricate features of vessel travel patterns. To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
Get full text

Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
Get full text

Distinct Patterns of Smooth Muscle Phenotypic Modulation in Thoracic and Abdominal Aortic Aneurysms by Chien-Jung Lin, Campbell Keating, Robyn Roth, Yasar Caliskan, Mustafa Nazzal, Vernat Exil, Richard DiPaolo, Divya Ratan Verma, Kishore Harjai, Mohamed Zayed, Chieh-Yu Lin, Robert P. Mecham, Ajay K. Jain

Get full text

Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…First, experiments showed that ensemble machine learning models such as CatBoost and Gradient Boosting addressed static features effectively, while time-dependent patterns proved more challenging to predict. …”
Get full text