ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns by Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan

“…To address emerging challenges, including multi‐factor experimental designs, multi‐treatment conditions, and multi‐omics data, we present a comprehensive upgrade with four key components: (1) A microbial co‐occurrence network pipeline integrating network computation (Pearson/Spearman/SparCC correlations), visualization, topological characterization of network and node properties, multi‐network comparison with statistical testing, network stability (robustness) analysis, and module identification and analysis; (2) Network mining functions for multi‐factor, multi‐treatment, and spatiotemporal‐scale analysis, including Facet.Network() and module.compare.m.ts(); (3) Transkingdom network construction using microbiota, multi‐omics, and other relevant data, with diverse visualization layouts such as MatCorPlot2() and cor_link3(); and (4) Transkingdom and multi‐omics network analysis, including corBionetwork.st() and visualization algorithms tailored for complex network exploration, including model_maptree2(), model_Gephi.3(), and cir.squ(). …”
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Impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India from 1995 to 2023 by Muniaraj Mayilsamy, Rajagopal Parthasarathy, Rajamannar Veeramanoharan, Paramasivan Rajaiah

“…Methods The annual malaria data provided by the National Center for Vector Borne Diseases Control, and meteorological data provided by the India Meteorological Department, Pune, and Statista, were used to make temporal trend analysis, scatter plot analysis, clustered scatter plot analysis, and Spearman & Pearson correlation coefficient to determine the impact of climatic factors on the occurrence of malaria in hyper, high, moderate and low endemic States in India. …”
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Clinical values of serum interleukin-17A and interleukin-23 in predicting the occurrence and progression of IgA vasculitis nephritis by Peng Li, Wang Li, Liu Wei-jia, Pan Chun-qin, Liu Jie

“…ObjectiveTo explore the clinical values of serum interleukin 17A （IL-17A） and IL-23 in predicting the occurrence and progression of immunoglobulin A vasculitis （IgAV） complicated with nephritis.MethodsFrom January 2018 to October 2021， 71 IgAV patients were selected along with 50 age/gender-matched healthy volunteers as normal control group. …”
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Clinical value of serum uric acid and homocysteine levels in predicting the occurrence of atrial fibrillation in patients with type 2 diabetes mellitus by Dong Li, Jinlong Deng, Lixian Ma

“…The predictive efficacy of serum UA and Hcy on the occurrence of AF in patients with T2DM was analyzed by using the receiver operating characteristic (ROC). …”
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Sustainable Renewable Biofuel Production Toward Pyrolysis of Fibers Biowaste Agave Americana L. and Thermodynamics Mechanisms Kinetic Parameters Triplet Assessment by Imen Lalaymia, Ahmed Belaadi, Hassan Alshahrani, Djamel Ghernaout, Herbert Mukalazi

“…However, deviations at higher conversions suggest the occurrence of multi-step processes, including diffusion and char formation.…”
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Selection of Monitoring points for the Number and Infectivity of the Main Vectors of West Nile Virus in the Volgograd Region by N. V. Boroday, A. V. Nesgovorova, V. F. Fomina, A. K. Mendygalieva, A. A. Baturin, D. N. Nikitin, E. V. Putinceva

“…Conclusion. High numbers and occurrence of the Cx. pipiens L. mosquitoes were observed at a personal plot within the city andon the bank of water body, Cx. modestus Fic. …”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…CooccurrenceAffinity is a practical and efficient R package with user-friendly functions for end-to-end analysis and plotting of co-occurrence data in various formats, making it possible to compute the recently developed metric of alpha MLE as well as its median and confidence intervals introduced in this paper. …”
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Modeling tolerant hardwood sapling density and occurrence probability in the Acadian forests of New Brunswick, Canada: Results 14 years after harvesting by Mohammed Henneb, Gaetan Pelletier, Mathieu Fortin, Nelson Thiffault, Marie-Andrée Giroux

“…Forty-three permanent sample plots were established in 2002 and measured before harvesting in 2004. …”
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Correlation and Prediction Analysis of Cyanobacteria with Water Environment Data by Sang-Leen Yun

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Quantitative analysis of rill erosion and contributing factors in the Oued Aghrouz catchment, Morocco by Afenzar Miloud, Achiban Hamid, Abahrour Mohamed, El bakkari Mohamed

“…However, research on rill erosion, both at the plot level and across broader spatial scales, remains relatively scarce. …”
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Integrated assessment of fluoride occurrence and groundwater usability: a critical concern for drinking water sustainability and irrigation in semi-arid region of West Bengal, Indi... by Kousik Das, Mijanur Mondal, Naba Kumar Mondal, Uttiya Dey, Abhijit Mukherjee, David Anand Aind, Soumyajit Sarkar, Subroto Vyas, Pankaj Kumar

“…Abstract Occurrence of fluoride (F−) at elevated levels in groundwater (GW) has become a major concern as it is associated with serious health issues like dental-skeletal fluorosis, severe neurological disorders, and abnormal enzymatic activities. …”
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Chitosan reduces naturally occurring plant pathogenic fungi and increases nematophagous fungus Purpureocillium in soil under field conditions by Raquel Lopez-Nuñez, Jorge Prieto-Rubio, Jorge Prieto-Rubio, Inmaculada Bautista, Antonio L. Lidón-Cerezuela, Miguel Valverde-Urrea, Federico Lopez-Moya, Luis V. Lopez-Llorca

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Enhancing landslide-scale rainfall threshold predictive modeling for rainfall-induced red-bed soft rock landslide occurrence using a stock-taking approach by Qi Li, Zidan Liu, Ziyu Tao

“…The magnitudes of both types of landslide occurrences are closely related to the MRR intensity. …”
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Soil Burn Severity Assessment Using Sentinel-2 and Radiometric Measurements by Rafael Llorens, José Antonio Sobrino, Cristina Fernández, José M. Fernández-Alonso, José Antonio Vega

“…All the spectral indices that achieve the separability index algorithm (SI) were validated using specificity, sensitivity, accuracy (ACC), balanced accuracy (BACC), F1-score (F1), and Cohen’s kappa index (k), with 503 field plots. The results displayed the highest overall accuracy results using the Iron Oxide ratio (IOR) index: ACC = 0.71, BACC = 0.76, F1 = 0.63 and k = 0.50, respectively. …”
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Microbial metacommunity of salt marshes rebuilds along an elevational gradient after initial disturbance by Dennis Alexander Tebbe, Joanne Yong, Mike Smykala, Lucie Kuczynski, Manuel Lanza Guedán, Kertu Lõhmus, Daniela Pieck, Anja Poehlein, Hendrik Schäfer, Martin Könneke, Stefanie D. Moorthi, Bert Engelen

“…The islands contained originally bare and transplanted plots at three different elevations, corresponding to the typical salt marsh zonation. …”
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Contribution on Modeling of Bagged Denim Fabric Behavior After Mixed Washing Using PCA and Regression Techniques by Abir Ben Fraj, Boubaker Jaouachi

“…Furthermore, the most influential factors of this treatment on the bagging ability of denim fabric were discussed using the main effect plots. This method shows that the quantity of pumice stone, the quantity of enzyme and the fabric are the most influencing factors. …”
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<p align="center"><strong>Impact of organic-inorganic nutrients combination on the occurrence of rice sheath mite, <em>Steneotarsonemus spinki</em> Smiley (Acari:Tarsonemidae) in W... by Krishna Karmakar, Pranab Debnath

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Rail Track with Rail Compression by V. N. Sukhodoev

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Influence of Biostimulants and Microbiological Preparations on the Yield and the Occurrence of Diseases and the European Corn Borer (<i>Ostrinia nubilalis</i> Hbn, Lepidoptera, Cra... by Elżbieta Wojciechowicz-Żytko, Edward Kunicki, Jacek Nawrocki

“…The aim of this work was to determine the influence of chosen biostimulants and microbiological preparations on the yield of sweet corn and the occurrence of <i>Ostrinia nubilalis</i> Hbn, and diseases. …”
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Spatiotemporal evolution characteristics and driving mechanisms of wildfires in China under the context of climate change and human activities by Guozhuang Zhang, Leyi Zhang, Xia Li, Xiaohua Feng, Yaru Wang, Jingchao Guo, Peizhe Li, Xindong Wei

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