Association of a Common Variant at 10q26 and Benign Prostatic Hyperplasia Aggressiveness in Han Chinese Descent by Xin Gu, Tao Huang, Ding Xu, Liujian Duan, Yang Jiao, Jian Kang, S. Lilly Zheng, Jianfeng Xu, Jielin Sun, Jun Qi

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Natural factors outweigh anthropogenic impact on aquatic phoD-harboring communities along Yangtze River basin by Lin Xu, Qian Mao, Chaonan Li, Bo Tu, Xiangzhen Li

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Gradient diffusion entropy corrected ALNS optimization for vegetation topology interaction networks by Shengwei Wang, Hongquan Chen, Yulin Guo, Wenjing Su, Yurong Xu, Shuohao Cui, Zhiqiang Zhou

“…All types of ecological nodes showed an increasing trend. the number of ecological nodes in cropland, grassland and forest in 2020 was 27, 8 and 19 respectively. The interaction structure is dominated by competition for cropland and forest in the middle and lower reaches. …”
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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…Using a unique Long-Term Monitoring Program for island forest arthropods (2012–2023), wherein we selected the 39 most prevalent species collected using SLAM (Sea Land Air Malaise) traps within a native forest fragment on Terceira Island in the Azores archipelago. …”
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Effects of Land Use Types on Selected Soil Properties in Central Highlands of Ethiopia by Daniel Jaleta Negasa

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Helminth diversity of nutria (Myocastor coypus) across the Morava basin in the Czech Republic by Michal Benovics, Eva Nosková, Anna Klimešová, Lucie Škorpíková, Ema Jaššová, Jakub Drimaj, Jan Slováček, Ondřej Mikulka

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Ecological corridor design for ecoclimatic regulation: Species as eco-engineers by Lirong Wu, Matteo Convertino

“…The REI consists of three parts: patch areas, change in ecosystem Forest Landscape Integrity Index (FLII), and change in species-dependent HS. …”
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Cryptosporidium Infection and Associated Risk Factors among Cattle in the Central Region of Ghana by Kwabena Dankwa, Patrick K. Feglo, Samuel V. Nuvor, Michael Aggrey-Korsah, Mohamed Mutocheluh

“…The prevalence of Cryptosporidium infection was also significantly higher among cattle from the coastal savanna zone (26.9%; 95% CI, 21.0-32.8) compared to those from the semideciduous forest area (p=0.017). Cattle in the forest zone had a lower risk of being infected with the parasite compared to those from the coastal savanna zone (OR 0.408; 95% CI, 0.182-0.915). …”
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Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techn... by Josh Enterkine, Ahmad Hojatimalekshah, Monica Vermillion, Thomas Van Der Weide, Sergio A. Arispe, William J. Price, April Hulet, Nancy F. Glenn

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Vegetation runoff and sediment reduction benefits and influential factor in the Loess Plateau of China: A meta-analysis by Mengrou Jia, Cong Han, Jianzhi Niu, Miao Wang, Linus Zhang, Ronny Berndtsson

“…This meta-analysis synthesizes data from 74 published studies, compiling a total of 1,518 data points derived from three vegetation types: forest, shrubland, and grassland. It analyzes the spatial variability of RRB and SRB, along with their relationships with vegetation, climatic, and geographic factors. …”
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Metabolic conversion of phenol to polyhydroxyalkanoate (PHA) for addressing dual environmental challenges: A review by Izzati Sabri, Mohd Zulkhairi Mohd Yusoff, Nor Azlan Nor Muhammad, Li Sim Ho, Norhayati Ramli

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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…Novel ground-based remote sensing approaches have demonstrated high potential for accurate and detailed mapping and monitoring of forest ecosystems. These methods enable the measurement of various tree parameters important for forest inventory or ecological research, such as diameter at breast height, tree height and volume, and crown parameters. …”
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Rancher viewpoint diversity in human–wildlife coexistence management: The case of jaguar–livestock interaction in the region of Calakmul, Mexico by Elías J. Gordillo‐Chávez, Claudia Villanueva‐García, Enrique Melo‐Guerrero, Mircea G. Hidalgo‐Mihart, Miguel Lizana‐Avia, Fernando Rodríguez‐López, Victor J. Colino‐Rabanal

“…Some favour increased forest cover and silvopastoral ranching, while others prefer reduced forest areas and the absence of jaguars. …”
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Phytophthora: an ancient, historic, biologically and structurally cohesive and evolutionarily successful generic concept in need of preservation by Clive Brasier, Bruno Scanu, David Cooke, Thomas Jung

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Osobowość ekologiczna płci - badania ankietowe by Irena Grochowska

“…Quoting Estes we can say that mature woman (surviving woman) looking at a forest sees a home for herself and other people, whilst others looking at the same forest imagine cutting down trees and making money on it. …”
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Exploring the feasibility of GF1-WFV data in estimating SPAD using spatiotemporal fusion algorithms by Annan Zeng, Jianli Ding, Jinjie Wang, Lijing Han, Haiyan Han, Shuang Zhao, Xiangyu Ge

“…In this study, we evaluated the performance of four fusion algorithms fusing Gaofen-1 WFV and MODIS data while also exploring their fusion accuracy. A random forest regression model was developed using the fused images and measured SPAD (Soil and Plant Analyzer Development) values, enabling large-scale, accurate, and dynamic monitoring of vegetation chlorophyll content. …”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

“…Decision tree, XGBoost, and random forest algorithms, respectively, were applied for the secondary prediction. …”
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PreciPalm: An Intelligent System for Calculating Macronutrient Status and Fertilizer Recommendations for Oil Palm on Mineral Soils Based on a Precision Agriculture Approach by Kudang Boro Seminar, Harry Imantho, null Sudradjat, Sudirman Yahya, Sirojul Munir, Indra Kaliana, Fajar Mei Haryadi, Awalia Noor Baroroh, null Supriyanto, Gani Cahyo Handoyo, Arif Kurnia Wijayanto, Cecep Ijang Wahyudin, null Liyantono, Rhavif Budiman, Achmad Bakir Pasaman, Dwi Rusiawan, null Sulastri

“…The Sentinel-1A and Sentinel-2A imagery data were analyzed and extracted to produce selected features, which are most influencing in the correlation between the imagery data and the leaf macronutrient values obtained from laboratory analysis. The random forest regression (RFR) model is used to produce correlation functions to compute macronutrient values. …”
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How Ornamental Fish Get Their Color by Frank A. Chapman, Richard D. Miles

“…Miles and published by the UF/IFAS School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, addresses how ornamental fish get their colors and provides a list of ingredient sources for diets that can be used to enhance and intensify fish colors. http://edis.ifas.ufl.edu/fa192 …”
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Mapping Your World with Community Analyst: An Easy to Use Tool to Map the Characteristics of U.S. Communities by Robert Swett, Lisa Krimsky

“…This 9-page fact sheet was written by Robert Swett and Lisa Krimsky, and published by the UF Department of School of Forest Resources and Conservation, October 2013. …”
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