Daily Activity Patterns and Overlap Activity of Medium–Large Mammals in Sülüklü Lake Nature Park, Western Black Sea Region, Türkiye by Fehmi Yildiz, Ali Uzun

“…However, information on these mammals' activity patterns and co‐occurrence, specifically in Türkiye, is limited. …”
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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. …”
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

“…However, practical tools to characterize perioperative factors associated with HIBPV remain limited. This study aimed to develop explainable supervised machine learning (ML) models to classify patients with HIBPV and to identify structural perioperative patterns associated with HIBPV through model interpretation.Materials and Methods This retrospective cohort study analyzed 47,520 noncardiac surgery cases from Beijing Tsinghua Changgung Hospital. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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

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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.…”
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Effect of Solid-state Fermentation by Yeast on the Structural and Functional Properties of Wheat Bran Proteins by Tingting SHI, Yujie LU, Jiawei PEI, Runfang GUO

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Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

“…The methodology employed encompasses a systematic approach, including data preprocessing, feature extraction, and model development. This research employs advanced machine learning techniques, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Naive Bayes algorithms, in conjunction with time-domain and frequency-domain feature extraction methods. …”
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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. …”
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Literary Elite in Processes of Socio-Cultural Modernization of Russia in 1830-1850: Main Identificational Features and Peculiarities of Status and Role Identification by T. F. Arzhanykh

“…A clear correlation between the development of public thought and literature, typical for the 19th century, is mentioned. …”
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Analysis of the spatial distribution of the Siberian silk moth outbreak area based on terrain features in the Siberian mountain southern taiga forests by Svetlana M. Sultson, Andrey A. Goroshko, Denis A. Demidko, Pavel V. Mikhaylov, Olga A. Slinkina, Nadezhda N. Kulakova

“…An assessment was conducted of the area of defoliated forests and the relief features of such an area using the ASTER digital elevation model. …”
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Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

“…Besides, preserving and improvement of historical attractions and identification of the old fabric of Sari city as the center of the social life , utilization of valuable historical buildings and environments, maintaining and developing public services, open and green urban spaces, allocation of valuable urban environments(pathways and historical open spaces), allocation of pathways in the textures passing through the main historical passages and YAHYA holy shrine area and traditional market, in modern pattern combined with the existing structure of the city will play a significant role in enhancing the vitality and quality of the studied streets. …”
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Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. by Injae Seo, Minkyoung Kim, Jong Wook Kim, Beakcheol Jang

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Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

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Uncovering How Information Quality Shapes Diverse User Engagement on Content Community Platforms: Harnessing Deep Learning for Feature Extraction by Yanzi Wang, Min Wang, Zhen Zhu, Haoxiang Ye

“…By utilizing a negative binomial model, our analysis reveals significant differences in antecedents between retweets and likes/comments while also highlighting variations in the impact levels of specific content quality features between likes and comments. These findings suggest contrasting patterns regarding how content quality features influence information production and dissemination on CCPs, underscoring the necessity for platform sponsors to develop adaptive mechanisms aligned with their strategic objectives for incentivizing specific quality features.…”
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Immunophenotypic features of bone marrow tumor cell in Burkitt lymphoma/leukemia: B-lineage acute lymphoblastic leukemia diagnostics opportunities by I. A. Demina, T. Yu. Verzhbitskaya, S. A. Kashpor, S. A. Plyasunova, M. E. Dubrovina, L. G. Fechina, N. V. Myakova, E. V. Samochatova, A. A. Maschan, A. M. Popov

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Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…This study contributes novel insights to pedestrian safety research by leveraging image processing technology, and highlights CNNs’ potential use in detecting concealed pedestrian crash patterns. The results lay the groundwork for future research, and offer promise in supporting safety initiatives and facilitating countermeasures’ development for researchers, planners, engineers, and agencies.…”
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