Extreme Weather Patterns in Ethiopia: Analyzing Extreme Temperature and Precipitation Variability by Endris Ali Mohammed, Xiefei Zhi, Kemal Adem Abdela

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Graphitic Carbon Nitride Nanomaterials-Based Electrochemical Sensing Interfaces for Monitoring Heavy Metal Ions in Aqueous Environments by Cheng Yin, Yao Liu, Tingting Hu, Xing Chen

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Dynamically Cyclic Fe2+/Fe3+ Active Sites as Electron and Proton-Feeding Centers Boosting CO2 Photoreduction Powered by Benzyl Alcohol Oxidation by Ben Lei, Gaofeng Zhou, Zhongyou Gong, Chao Liu, Ying Zhou, Vitaliy P. Guro, Yanjuan Sun, Jianping Sheng, Fan Dong

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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. Eventually, comparative analysis with 10 advanced existing algorithms on the CEC2017 and CEC2022 benchmark suites demonstrates that DSCPSO achieves competitive performance across over 70% of the functions, validating the algorithm’s effectiveness and superiority. …”
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Jumping Characteristics of Broiler Breeder Hens at Different Perching Platform Heights by Xiaoliu Xue, Baoming Li, Qin Tong, Yang Wang, Peng Yin

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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

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Exploring the infection strategy of Colletotrichum fructicola in pecan and two effectors Cf-ID1 and Cf-ID2 were characterized using unique molecular identifier-RNA sequencing techn... by Long-Jiao Hu, Long-Jiao Hu, Ji-Ping Xuan, Ji-Ping Xuan, Yang Li, Yang Li, Min Zhai, Min Zhai, Guo-Ming Wang, Guo-Ming Wang, Li-Na Deng, Zheng-Hai Mo, Zheng-Hai Mo

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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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Harnessing the microbial interactions from Apocynum venetum phyllosphere for natural product discovery by Wei Huang, Xingzhi Jiao, Lingqi Hua, Qianjin Kang, Lili Zhang, Xiaoxia Luo, Linquan Bai

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Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

“…Vernacular cultural resources, though not formally recognized as institutionalized heritage, hold intrinsic developmental capacity. …”
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Rho-GTPases subfamily: cellular defectors orchestrating viral infection by Beibei Zhang, Shuli Li, Juntao Ding, Jingxia Guo, Zhenghai Ma, Hong Duan

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Modeling human population patterns on tree density by M. Yousefpoor, T. Rostamie Shahraji, A. Eslam Bonyad, M. Salahi

“…Due to the existence of an effective relationship between the components of the tree density and human population in the forest, policy-makers and planners of natural resources could benefit management patterns appropriate to above components to achieve sustainable management.…”
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INTERACTION BETWEEN DENTO-MAXILLOFACIAL ANOMALIES AND GENERAL-SOMATIC HUMAN CONDITION (LITERATURE REVIEW) by L.V. Smaglyuk, H.V. Voronkova, A.Ye. Karasiunok, A.V. Liakhovska, V.I. Smaglyuk

“…The peculiarities of their structure and relations are subordinated to their functioning as part of a single integral mechanism. …”
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Spatial distribution patterns and driving factors of ecosystem services and ecological vulnerability in ecologically fragile areas: a case study of the Zhang-Cheng area by Ye Wang, Ye Wang, Zhong-cai Xue, Zhong-cai Xue, An-qi Ju, Yue Yang, Yue Yang, Wei Ren, Cai-wu Wu, Cai-wu Wu

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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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A new future for dog breeding by Helle Friis Proschowsky, Maja Louise Arendt, Brenda N Bonnett, Camilla S Bruun, Irena Czycholl, Merete Fredholm, Dan O’Neill, James A Serpell, Peter Sandøe

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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The innovation of the SEAttention module lies in replacing the original activation function with the Mish activation function, which can dynamically adjust the weights of different channels to enhance performance. …”
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Integrating voltammetry and substrate-enhanced luminescence for noninvasive glucose sensing by Gabriel López-Peña, Ana Pallarés Vilar, Aida Jaafar, Silvia Simón-Fuente, Antonio Arranz, Maria Ribagorda, Miguel Manso-Silván, Emma Martín Rodríguez

“…This study presents a novel noninvasive and enzyme-free dual sensor based on porous silicon (PSi) for the detection of D-glucose through tear fluid analysis. …”
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Natural Toolbox–Chemical Engineering Aspect and High‐Value Applications of Janus Cellulose Nanomaterials by Yu Zhao, Shengjie Wang, Zongchen Wei, Shiming Qiu, Guofu Zhou, Jr‐Hau He, Xuezhu Xu

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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This work provides real-time validation on the RTDS platform by the use of S-transform, Ensemble Empirical Mode Decomposition (EEMD), and SVM, for quick and reliable detection of AC/DC faults. Next for classification, features extracted through intrinsic mode function decomposed by EMD and EEMD and classified distinctly using support vector machine techniques. …”
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