Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. …”
Get full text

Online Reviews Meet Visual Attention: A Study on Consumer Patterns in Advertising, Analyzing Customer Satisfaction, Visual Engagement, and Purchase Intention by Aura Lydia Riswanto, Sujin Ha, Sangho Lee, Mahnwoo Kwon

Get full text

Technical note: Impact of tissue section thickness on accuracy of cell classification with a deep learning network by Ida Skovgaard Christiansen, Rasmus Hartvig, Thomas Hartvig Lindkær Jensen

Get full text

Intrauterine growth patterns in rural Ethiopia compared with WHO and INTERGROWTH-21st growth standards: A community-based longitudinal study. by Meselech Roro, Wakgari Deressa, Bernt Lindtjørn

“…Adequate intrauterine growth (IUG) is a basic feature of a healthy pregnancy. The aim of our study was to assess IUG patterns in a rural and drought-affected population in the Rift Valley area of the Adami Tullu district in Oromia, Ethiopia.…”
Get full text

Circadian Regulator-Mediated Molecular Subtypes Depict the Features of Tumor Microenvironment and Indicate Prognosis in Head and Neck Squamous Cell Carcinoma by Ling Aye, Zhanying Wang, Fanghua Chen, Yujun Xiong, Jiaying Zhou, Feizhen Wu, Li Hu, Dehui Wang

“…Moreover, HNSCC tissues displayed three circadian regulator patterns with distinct clinical outcomes, transcriptomic characteristics, and microenvironment features. …”
Get full text

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations by Yi Gao, Jianwen Liang, Mu Tian, Wenjiang Deng, Lei Wang, Siyuan Tao, Tian Mou

“…This study aims to explore the correlations between the nuclear features of healthy tissue cells and RNA expression patterns. …”
Get full text

UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation by Ibtissam Bakkouri, Siham Bakkouri

“…However, accurately segmenting blood vessels in fundus images is challenging due to factors such as significant variability in vessel scale and appearance, occlusions, complex backgrounds, variations in image quality, and the intricate branching patterns of retinal vessels. To overcome these challenges, the Unified Gated Swin Transformer with Multi-Feature Full Fusion (UGS-M3F) model has been developed as a powerful deep learning framework tailored for retinal vessel segmentation. …”
Get full text

Ukrainian Folk Ornaments in Modern Knitting by Liudmyla Melnyk, Olena Kyzymchuk, Liudmyla Zubkova

“… National arts and crafts are not only the skills of an individual nation but an ethnic phenomenon that has unique features and serves as a source of information on national history and culture. …”
Get full text

Clinical features of anti-SAE1 antibody-positive myositis and interstitial lung disease: a multicenter, retrospective study in Taiwan by Chao-Yang Hsiao, Chao-Yang Hsiao, Shu-Chi Tseng, Chung-Yuan Hsu, Li-Chung Chiu, Li-Jen Su, Tien-Ming Chan

Get full text

Sodium-dependent phosphate transporter NaPi2b as a candidate for targeted therapy: features of structure, function, and expression by R. G. Kiyamova, R. A. Vlasenkova, L. F. Bulatova

“…The tumor-specific conformation of the large extracellular domain of the NaPi2b transporter, mutations, and features of expression of the transporter gene in normal and pathological conditions show that NaPi2b is a promising target for the development of highly selective targeted drugs against it for the treatment of cancer and metabolic disorders.…”
Get full text

Ecologically Safe Directions of the Low Rank Coal Bioconversion by Chernysh Y., Plyatsuk L., Ablieieva I., Yakhnenko E., Roubik H., Miakaieva H., Bataltsev E., Danilov D.

“…This paper deals with theoretical research of the biochemical features of low rank coals (LRC) treatment. The biochemical bases of the organic component degradation of LRC and the biochemical principles of bioleaching of sulfur compounds and metals from LRC are presented. …”
Get full text

Advanced Deep Learning Framework for Predicting the Remaining Useful Life of Nissan Leaf Generation 01 Lithium-Ion Battery Modules by Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

“…The focus of this work is on feature engineering and uncovering hidden patterns in the data. …”
Get full text

Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images by Surayuth Pintawong, Shanop Shuangshoti, Tikamporn Jitpasutham, Somruethai Shuangshoti, Kulachet Wiwatwarayos, Thananop Kobchaisawat, Thanarat H. Chalidabhongse

“…Using dual in situ hybridization (DISH) results as the gold standard for HER2 status, we developed our system using handcrafted features—including color intensity, local binary patterns, and Haralick features—combined with tree-based classifiers. …”
Get full text

Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation by Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

“…The experimental results show that FSSDA greatly reduces the user burden and further facilitates the development of myoelectric pattern recognition techniques.…”
Get full text

A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification by Le Wang, Yuelin Gao, Jiahang Li, Xiaofeng Wang

“…Feature selection is an essential step in the preprocessing of data in pattern recognition and data mining. …”
Get full text

Clinicopathological features of two ultra-rare cases of malignant perivascular epithelioid cell tumors (PEComas) involving the uterus with recent updates by Bharat Rekhi, Santosh Menon

“…Herein, we present the clinicopathological features of two such cases, including their diagnostic implications with recent updates. …”
Get full text

Prevalence and Antimicrobial-Resistant Features of Shigella Species in East Africa from 2015–2022: A Systematic Review and Meta-Analysis by Basha Ayele, Getenet Beyene, Mekdelawit Alemayehu, Aman Dekebo, Zeleke Mekonnen, Gashaw Nigussie

Get full text

High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

Get full text

Romanian Banks – Romanian SMEs: A Mutual Business Relationship by Ion POPA, Camelia Elena CIOLAC, Sebastian CEPTUREANU, Eduard CEPTUREANU

“…At first, we identify the features that characterize the successful SMEs that managed to develop business relationships with the Romanian Banks and we build an econometric model to express this dependency. …”
Get full text

Atypical ductal hyperplasia diagnosed by US-guided core needle biopsy: clinical, pathological and US features associated with upgrading to malignancy by Jun Kang Li, Yong Jie Xu, Rui Lan Niu, Nai Qin Fu, Zhi Ying Jin, Shi Yu Li, Yu Chen Liu, Zhi Li Wang

“…Predictors included in the model were age, the pathological pattern of ADH with intraductal papilloma or ADH alone, Ki-67 positivity, and imaging-pathological discordance. …”
Get full text