Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…The rapid increase in urban population density driven by urban development has intensified inequity in urban green space distribution. …”
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A sustainability trilogy approach for drought risk prevention: Case study in Indonesia by Ramli Akhmad, Sumarmi Sumarmi, I. Komang Astina, Satti Wagistina

“…Drought presents a major challenge to agriculture and rural livelihoods, particularly in countries like Indonesia, which feature diverse topography and unpredictable rainfall patterns. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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Quantification and Evolution of Online Public Opinion Heat Considering Interactive Behavior and Emotional Conflict by Zhengyi Sun, Deyao Wang, Zhaohui Li

“…Subsequently, we used Hodrick–Prescott filter to separate long-term trends and short-term fluctuations, extract six key quantitative features (number of peaks, time of first peak, maximum amplitude, decay time, peak emotional conflict, and overall duration), and applied K-means clustering algorithm (K-means) to classify events into three propagation patterns, which are extreme burst, normal burst, and long-tail. …”
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Language Feminisation in Sociopolitical Space of Russia and France by L. A. Ulianitckaia

“…The paper reviews dynamics of language feminisation and inclusive writing emergence in the context of social change in Russia and France, identification of common patterns for the languages of the countries, adaptation difficulties of new elaborated spelling and punctuation rules, as well as indentification of sources of resistance to gender reforms in languages considered. …”
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Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

“…A review of current literature deepens the understanding of age-related characteristics, differences, and patterns in gliomagenesis across age groups, which is essential for effective diagnosis and treatment. …”
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THE USE OF THE ELEMENTS OF MORPHOECOLOGICAL ADAPTATIONS OF ORGANISMS TO THE ENVIRONMENT UNDER PALEOGEOGRAPHIC RECONSTRUCTIONS OF BIOTAS OF TETIYSKY DESERT-STEPPE REGION (BUILDING S... by G. M. Abdurakhmanov, I. V. Shokhin, A. A. Teymurov, A. G. Abdurakhmanov, A. A. Gadzhiev, M. G. Daudova, M. Z. Magomedova, Yu. Yu. Ivanushenko

“…The structure of the feet of Tenebrionidae is closely related to their living conditions and patterns of behavior. Convergence in the structure of the feet of phylogenetically distant species is the result of a match in their evolutionary development of the living conditions and behavioral characteristics. …”
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Integration of biomimetic organoid-on-chip and 2D models advances the mechanistic Understanding of STEAP3-mediated regulation in intestinal viral infection by Yi-Wen Chen, Huan-Jung Chiang, Kuan-Ting Liu, Chun-Wei Kao, Shan-Ren Xie, Chao-Ming Su, Yu-Yin Shih

“…These systems often fail to capture key features such as spatial cell–cell interactions, tissue-specific heterogeneity, and microenvironmental complexity that govern virus–host dynamics in vivo. …”
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CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

“…The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017, CIC-UNSW-NB15, CSE-CIC-IDS2018, CIC-BoT-IoT, Distrinet-CIC-IDS2017, and NF-UQ-NIDS. …”
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Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…For melanonychia, relevant AI models typically identify disease patterns through segmentation and/or classification approaches. …”
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NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides by Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao, Juan Feng, Hao Lv

“…While various machine learning and deep learning approaches have been explored, their limitations in feature representation and model integration hinder the effective discovery of novel AIPs. …”
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A Noise-Robust Deep-Learning Framework for Weld-Defect Detection in Magnetic Flux Leakage Systems by Junlin Yang, Senxiang Lu

“…To address the above challenges, this paper introduces a novel noise-robust deep-learning framework to remove the noise component in the original signal and learn its noise-invariant feature representation. This can handle the unseen noise pattern and mitigate the impact of dynamic noises on MFL inspection systems. …”
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Radiology of viral pneumonia by A. A. Speranskaia, L. N. Novikova, O. P. Baranova, M. A. Vasilieva

“…Objective: to evaluate the clinical and radiological features of viral pneumonia caused by influenza A (H1N1) in 2015–2016.Material and methods. …”
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Rainfall Prediction based on Historical Weather Data using Naive Bayes Classification Model in Southeast Sulawesi by Ayustina Samudin, Rizal Adi Saputra, Fabelina Agsaria, Nurendro Hardjo Judanto, Ade Syifa Badarudin

“…Southeast Sulawesi is one of the provinces in Indonesia characterized by diverse topography and climate, making it challenging to accurately identify and predict rainfall patterns. The aim of this study is to enhance our understanding of weather behavior in Southeast Sulawesi and provide a foundation for developing more advanced and region-specific weather prediction methods. …”
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General and Specific Problems of the Formation of Intellectual Operations in Younger Schoolchildren with Learning Difficulties by A.I. Andriashina, L.A. Tishina

“…Understanding these general and specific features is necessary to organize a personalized approach to correction and education of children with impaired development, which determines the relevance of the study. …”
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Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model by Dai Liu, Chengxiang He, Jianlong Ma

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Collaborative Music Learning : Utilizing n-Track Application in Private Music Education by Piter Sembiring, Yudi Sukmayadi, Ayo Sunaryo

“…The findings indicate that n-Track enhances student engagement, supports independent practice, and improves teacher-student interaction efficiency. Key features such as multitrack recording, MIDI sequencing, and real-time feedback facilitate structured musical arrangements and instrumental skill development. …”
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How artificial intelligence reduces human bias in diagnostics? by Artur Luczak

“…Explainable AI techniques enable the identification of which features in data are used by DNNs to make decisions. …”
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Craniofacial Pain: Brainstem Mechanisms by Barry J Sessle

“…These extensive convergent input patterns also appear to be important factors in pain spread and referral, and in central mechanisms underlying neuroplastic changes in V neuronal properties that may occur with injury and inflammation. …”
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Social Work in Cybersecurity by Samah Monammed Albargi

“…The modern cyberspace features complex and highly evolving threats against users and particular vulnerable groups, such as youths and children. …”
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