Assessing the Effects of Land Use Practices on the Environment in Rugarama North Ntungamo District. by Turyahabwe, Deus

“…There is need for policy making concerning environmental conservation measures through a forestation thus discouraging or reducing deforestation and education of masses should be encouraged relating to the efficient use of land use practices on environment through sensitizing people on dangers of mining and mining related effects.…”
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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

“…Linear models represented by logistic regression (LR), nonlinear models represented by support vector machine (SVM), artificial neural network (ANN) and classification 5.0 decision tree (C5.0 DT), and ensemble models represented by random forest (RF) and categorical boosting (Catboost) were selected. …”
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Quantification of ecosystem services from mangrove silvofishery by E. Sumarga, D. Rosleine, G.B. Hutajulu, R.P. Plaurint, Tsabita ., M. Basyuni, S.H. Larekeng, M.F. Taqiyudin, N.N. Shohihah, H. Ali

“…BACKROUND AND OBJECTIVES: Mangrove silvofishery, a unique system that combine aquaculture with mangrove forests, presents a promising sustainable solution for Indonesia's coastal communities. …”
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Impacts of plant root traits and microbial functional attributes on soil respiration components in the desert-oasis ecotone by Jinlong Wang, Jinlong Wang, Jinlong Wang, Guanghui Lv, Guanghui Lv, Guanghui Lv, Jianjun Yang, Jianjun Yang, Jianjun Yang, Xuemin He, Xuemin He, Xuemin He, Hengfang Wang, Hengfang Wang, Hengfang Wang, Wenjing Li, Wenjing Li, Wenjing Li

“…Concomitantly, the Ra and Rh components exhibited a similar trend throughout the study period, with Rh emerging as the dominant driver of Rs. Utilizing random forest modeling, we unearthed significant associations between microbial taxonomic and functional features and Rs components. …”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…In this regard, the current study presents a novel framework involving four standalone ML models (extra trees (ET), random forest (RF), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost)) and their combination with genetic programming (GP). …”
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Clinical and cost-effectiveness of a guided internet-based Acceptance and Commitment Therapy to improve chronic pain–related disability in green professions (PACT-A): study protoco... by Claudia Buntrock, Harald Baumeister, Yannik Terhorst, Lina Braun, Ingrid Titzler, Johanna Freund, Janika Thielecke, David Ebert

“…Individuals in green professions (agriculturists, horticulturists, foresters) show increased prevalence of chronic pain and other risk factors for mental disorders. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…Feature selection was performed using differential expressed protein analysis, area under curve (AUC) evaluation and least absolute shrinkage and selection operator (LASSO) regression. Random forest was used for multitask model construction based on the key proteins. …”
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Human–nature connectedness and sustainability across lifetimes: A comparative cross‐sectional study in France and Colombia by Gladys Barragan‐Jason, Maxime Cauchoix, Paula A. Diaz‐Valencia, Arielle Syssau‐Vaccarella, Solène Hemet, Camilo Cardozo, Suzanne M. Skevington, Philipp Heeb, Camille Parmesan

“…We also investigated the links between human–nature connectedness, pro‐environmental behaviours, well‐being and two indicators of opportunity to experience nature (i.e. degree of urbanisation and forest cover around the participants' municipality of residence). …”
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Dengue dynamics, predictions, and future increase under changing monsoon climate in India by Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, Anand Karipot, Amir Sapkota, Panini Dasgupta, Kalpana Baliwant, Sujata Saunik, Abhiyant Tiwari, Rajib Chattopadhyay, Revati K. Phalkey

“…Based on these weather-dengue associations, we developed a machine-learning model utilizing the random forest regression algorithm. The dengue model yields a skillful forecast, achieving a statistically significant correlation coefficient of r = 0.77 and a relatively low Normalized Root Mean Squared Error score of 0.52 between actual and predicted dengue mortalities, at a lead time of two months. …”
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Prevalence of pulmonary tuberculosis and associated factors among adults living with HIV/AIDS in Ethiopia, systematic review and meta-analysis by Amlaku Nigusie Yirsaw, Berihun Agegn Mengistie, Eyob Getachew, Gebrehiwot Berie Mekonnen, Adamu Ambachew Shibabaw, Alex Ayenew Chereka, Gemeda Wakgari Kitil, Wubet Tazeb Wondie, Gebeyehu Lakew

“…Potential publication bias and heterogeneity in the results between studies were assessed using Egger’s test, forest plot, and I² statistic, respectively. Results According to this systematic review and meta-analysis, the overall prevalence of pulmonary tuberculosis(PTB) among adults living with human immune virus /aquered immune deficieciency syndrome(HIV/AIDS) in Ethiopia was 15% (95% CI: 8-23%). …”
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Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

“…We developed ML models that predict the upper tertile group for various anxiety symptoms in SAD using Random Forest, extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and categorical boosting (CatBoost) models. …”
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Combination of clinical factors predicts successful glucocorticoid withdrawal in systemic lupus erythematosus (SLE): results from a multicentre, retrospective cohort study by Alessandra Bortoluzzi, Marcello Govoni, Dimitrios T Boumpas, Antonis Fanouriakis, Prodromos Sidiropoulos, George Bertsias, Konstantinos Parperis, Argyro Repa, Ettore Silvagni, Myrto Nikoloudaki, Nestor Avgoustidis, Sofia Pitsigavdaki, Antonio Marangoni, Irini Flouri, Spyridon Katechis

“…Prednisone tapering from 7.5 mg/day to 0 over >6 months improved severe flare-free outcome (HR: 0.57; 0.37 to 0.90). Random survival forests identified DORIS/LLDAS, hydroxychloroquine use and slow GC tapering as top predictors, whose coexistence reduced overall and severe flares by ~25 fold and ~50 fold, respectively. …”
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A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…The four phenological metrics were combined with spectral and textural features to classify the vegetation using the random forest (RF) algorithm. In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. …”
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Effects of Different Vegetation Restoration Measures on the Disintegration Characteristics of Eroded Degraded Land of Pinus massoniana in Red Soil Region by XI Jie, WU Zehua, LIN Qiang, WU Jieling, ZHANG Liu, ZHOU Shiqi, ZHOU Qin, SUN Lili, ZHA Xuan

“…This measure is more effective for soil and water loss control in severely degraded P. massoniana forest in granite red soil area. Soil geometric mean diameter (GMD) is a direct control factor affecting soil disintegration characteristics, and can be used as a preferred index to evaluate soil disintegration characteristics.…”
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Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis by Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie

“…Least absolute shrinkage and selection operator (LASSO) regression was performed on the training sets to screen variables, and the importance of independent variables was ranked via random forest. In addition, various independent variables were used in the construction of models 1 and 2. …”
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A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

“…It states, “We are determined to end poverty and hunger, in all their forms and dimensions, and to ensure that all human beings can fulfil their potential in dignity and equality and in a healthy environment and determined to protect the planet from degradation, including through sustainable consumption and production, sustainably managing its natural resources and taking urgent action on climate change, so that it can support the need of the present and future generations” Goal 15 is to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. …”
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Bacterial profiling of mask waste from terrestrial and marine environment by A. Rakhmawati, B. Octavia, S. Marwati, D. Kristanti

“…The objective of this research was to identify, choose, and analyze the bacteria present in discarded face masks at landfill sites (Piyungan, Yogyakarta and Jatibarang, Semarang), coastal areas (Tanjung Pasir, Tangerang, and Marina, Semarang), as well as mangrove forests (Teluk Naga, Tangerang, and Tirang, Semarang) situated in Java, Indonesia.METHODS: The bacterial isolation was performed using minimal salt medium. …”
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Topic modelling of the wetland condition assessment literature reveals trends, key gaps, and opportunities for combining different assessment techniques by Kaline de Mello, Osmar Luiz, Erica A. Garcia, Anna E. Richards

“…In contrast, topics like ‘biological and ecological integrity’, ‘forested wetlands’, and ‘wetland boundary delineation’ showed declining prominence over time, indicating a potential shift in research focus. …”
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Effect of K-N-Humates on Dry Matter Production and Nutrient Use Efficiency of Maize in Sarawak, Malaysia by Auldry Chaddy Petrus, Osumanu Haruna Ahmed, Ab Majid Nik Muhamad, Hassan Mohammad Nasir, Make Jiwan

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Potencialidad de especies y procedencias de Cedrela para el establecimiento de plantaciones sustentables en diferentes ambientes del Noroeste Argentino by J. GRIGNOLA, M. ACRECHE, J. DI RIENZO, M. GATTO, L. FORNES

“…Los resultados resaltan la importancia de considerar el origen de las semillas al momento de realizar un emprendimiento forestal con estas especies. El material remanente en cada sitio y que logró el mayor desarrollo tiene mucho valor y servirá de fuente para continuar el programa de domesticación con fines productivos y de rescate del material genético con fines de conservación.…”
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