Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems by Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Murilo dos Santos Vianna, Dominik Behrend, Hubert Hueging, Inga Schleip, Paul Mosebach, Almut Haub, Axel Behrendt, Thomas Gaiser

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A Multiscale Approach to Identifying Vernacular Landscape Pattern Characteristics in River Basins: A Case Study of the Liuxi River, Guangzhou by Nanxi Wang, Yan Zha, Zhongxiao Lin

“…Focusing on two scales, “basin” and “vernacular unit”, this study proposes a framework for identifying vernacular landscape patterns. This framework includes scale definition, pattern identification, feature description, and factor analysis. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Therefore, multiple challenges exist regarding CAD (Computer-aided diagnosis) and endoscopy, including a lack of annotated images, a dark background, poor contrast, and an irregular pattern. The objective of this research is to develop a robust deep network, called SNet, that offers a solution to complex classification problems. …”
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Agricultural Mutual Insurance in Asia, Latin America, and the Caribbean: An Integrative Review of the Micro-Level Schemes by Rival Valcin, Tomohiro Uchiyama, Rika Terano, Dario S. Celestin, Bénédique Paul

“…Specifically, the paper calls for Haitian leaders to include farmers as contributors and beneficiaries of the CCRIF SPC.This study develops a business model canvas describing the relevant features that ensure the viability and effectiveness of an AMI scheme. …”
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Inheritance features of productivity traits in pea hybrids F₁ and F₂ by F. A. Davletov, K. P. Gainullina, А. М. Dmitriev, E. V. Badamshina

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Distribution, fishery and some features of biology for Sclerocrangon salebrosa and Argis lar (Caridea, Crangonidae) in the northwestern Okhotsk Sea by D. N. Yuriev, V. S. Lukyanov, A. Yu. Povarov

“…State of the fishery and distribution patterns of S. salebrosa and A. lar in the northwestern Okhotsk Sea are investigated on the data collected by the authors aboaed commercial fishing vessels and in the accounting trawl survey conducted aboard RV Dmitry Peskov in summer of 2019, as well as some features of their biology are considered. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

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STEERABLE TOROIDAL BIFOCAL LENS-ARRAY ANTENNA IN 57–64 GHZ RANGE by Alexander A. Maltsev, Valentin M. Seleznev, Alexander S. Rulkov, Olesya V. Bolkhovskaya

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The PARPscore system using poly (ADP-ribose) polymerase (PARP) family features and tumor immune microenvironment in glioma by Cheng Zhang, Juan Feng, Xia Zhou, Jie Zhang, Chuming Tao, Hongwei Zhou

“…Our findings revealed three distinct PARPs modification patterns, each correlated with unique TME infiltration characteristics and tumor immunophenotypes. …”
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The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for Reaumuria songarica being driven by climate change by Xinyou Wang, Zhengsheng Li, Lijun Zhang, Yanlong Wang, Ying Liu, Yushou Ma

“…Results show that setting parameters to RM (regulation multiplier) = 4 and FC (feature combination) = LQHPT yields a model with good accuracy and high reliability. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…However, achieving real-time processing of VO using a stereo camera on embedded CPUs and GPUs is challenging due to the high computational demands and irregular computational patterns. These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study by Jiho Lee, Nayeon Kim, Ji-Wan Ha, Kyunghun Kang, Eunhee Park, Janghyeok Yoon, Ki-Su Park

“…Several acoustic features emerged as potentially important indicators, with DDA shimmer from the /i/ task and stdevF0 from the /puh-tuh-kuh/ task showing consistent patterns across classification tasks. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…This transformation improves feature extraction by capturing more discriminative patterns, leading to superior performance compared to conventional methods. …”
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Transcriptional features of autoimmune diabetes: differentially expressed genes in CD4+ and CD8+ subpopulations of blood T cells by I. I. Golodnikov, E. S. Podshivalova, V. I. Chechekhin, A. V. Zubritsky, A. A. Matrosova, Y. V. Dvoryanchikov, M. D. Samsonova, E. K. Markelova, Y. A. Medvedeva, T. V. Nikonova, E. V. Bondarenko, S. V. Popov, I. R. Minniakhmetov, M. V. Shestakova

“…However, the molecular mechanisms underlying its unique clinical and pathogenetic features remain insufficiently studied. Identifying differentially expressed genes (DEGs) in LADA compared to T1DM is essential for developing more personalized diagnostic and therapeutic approaches.OBJECTIVE: To identify DEGs in peripheral blood mononuclear cells (PBMCs) of patients with LADA compared to those with T1DM, and to evaluate differences in DEGs between these patient groups and healthy volunteers.MATERIALS AND METHODS: The study included 60 participants (23 T1DM patients with disease duration of up to 1 year, 15 LADA patients with disease duration of up to 5 years, and 22 healthy volunteers). …”
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Spatial Patterns and Perception Differences in Slow-Tourism Behavior: Insights from Popular Citywalk Routes in Chengdu, Wuhan, and Shanghai, China by Han Chenglong, Li Lingling, Li Gang, Lan Li, He Ying, Guo Jianying

“…Differing historical backgrounds create distinct urban cultural features, lifestyles, and tourism resources, which affect the direction of slow-tourism development. …”
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Unraveling Demographic Patterns in Hepatitis B Clinical and Laboratory Profiles: Insights From a Ghanaian Cohort: A Retrospective Study by Napoleon Bellua Sam, Saeed Folorunsho Majeed, Adams Dramani

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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

“…After examining the linguistic patterns of different social media posts, a reduced feature space is generated using appropriate feature engineering, which is further fed as input to the LSTM model to identify a type of mental illness. …”
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Patterns of peasant way of life in Tobolsk province in the second half of the XIXth century (on the materials of N.N. Mataev’s personal archive) by I. S. Ivanchenko

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Landscape Pattern Changes and Ecological Vulnerability Assessment in Mountainous Regions: A Multi-Scale Analysis of Heishui County, Southwest China by Weiqi Gu, Hong Fu, Wen Jin

“…Against the backdrop of intensifying global climate change, the impact of land use pattern changes on ecosystem vulnerability has garnered increasing attention. …”
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Genome-wide identification of GATA family genes in sweet potato (Ipomoea batatas L.) and their expression patterns under abiotic stress by Chong Wang, Mengjiao Lan, Manqiu Xiao, Ying Peng, Ying Peng, Hao Pan, Jiaqi Deng, Wensheng Wu

“…Overall, this experiment conducted a systematic exploration of GATA genes by investigating their evolutionary relationships, structural characteristics, functional properties, and expression patterns, thereby establishing a theoretical foundation for further in-depth research on the features of the GATA gene family.…”
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