Cross-species single-cell transcriptomic atlas of retinal photoreceptors reveals molecular signatures underlying color vision adaptation by Zhibin Li, Chengkai Yan, Yubao Lu, Yaqing Shu, Shilin Wu, Xi Cheng, Yuge Wang, Shishi Shen, Hui Yang, Gang Cao, Jianping Ji, Liangming Zhang, Jian Sun, Dongchang Xiao, Shasha Li, Wei Qiu

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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…This study focuses on the main features and applications of multi-robot SLAM in complex agricultural scenarios. …”
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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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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…This study aims to develop an interpretable machine learning model that uses speech recordings and acoustic features to predict PD.MethodsA dataset of speech recordings from individuals with and without PD was analyzed. …”
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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. The resulting dream-like images contain shapes that reflect elements from the ImageNet dataset on which the above pre-trained models were trained. …”
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Characterizing a complex buildup in the Pearl River Mouth Basin of the northern South China Sea: an interplay of carbonates and igneous rocks by Beichen Chen, Leyi Xu, Baojun Liu, Lili Zhang, Dong Xiao, Ya Gao, Ya Gao, Feng Wu, Xueqi Yang, Yaming Zou, Yongkun Ma, Yinglin Zhang

“…By analyzing the lithofacies of the carbonates and igneous rocks, the morphological features and spatial distribution patterns corresponding to these sedimentary and volcanic facies were identified. …”
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Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors by Akira Minamisawa, Shogo Okada, Ken Inoue, Mami Noguchi

“…We analyzed the effects of different types of sensor data, such as time spent in an individual room according to human motion sensors, location in a facility, and sleep patterns, on dementia detection. We then developed a feature extraction method related to daily activity patterns based on a clustering algorithm and analyzed its effectiveness. …”
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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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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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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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The brain-gut microbiota network (BGMN) is correlated with symptom severity and neurocognition in patients with schizophrenia by Runlin Peng, Wei Wang, Liqin Liang, Rui Han, Yi Li, Haiyuan Wang, Yuran Wang, Wenhao Li, Shixuan Feng, Jing Zhou, Yuanyuan Huang, Fengchun Wu, Kai Wu

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Spatial heterogeneity of cultural ecosystem services in grand canal rural heritage sites: A community gradient framework using participatory mapping by Xin Jiang, Xi Chen, Qinghai Zhang, Yutao Li, Mingrui Wang, Yongjun Li, Xing Xiong, Xiaoning Wu, Xin Li, Yujia Zhong, Yong Lu

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Modelling desert dune fields based on discrete dynamics by Steven R. Bishop, Hiroshi Momiji, Ricardo Carretero-González, Andrew Warren

“…When assessing the success of such a model in capturing physical features we monitor morphology, dune growth, dune migration and spatial patterns within a dune field. …”
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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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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…We first construct a dual-feature interaction encoder that employs SAM to extract image features, which are then refined through trainable multi-scale adapters for learning architectural structures and semantic patterns. …”
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Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

“…Inherited syndromes (e.g., NF-1, TSC) associated with glioma development are linked to specific LGG subtypes occurring in childhood, adolescence, and adulthood. …”
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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…Under the global trend of promoting green development, the electric vehicle (EV) industry has entered a period of rapid growth. …”
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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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