Pretreatment attrition after rifampicin-resistant tuberculosis diagnosis with Xpert MTB/RIF or ultra in high TB burden countries: a systematic review and meta-analysis by Tom Decroo, Palmer Masumbe Netongo, Tinne Gils, Christelle Geneviève Jouego

“…The pooled proportion of pretreatment attrition and reasons were assessed using random-effects meta-analysis. Forest plots were generated using R software.Results Thirty eligible studies from 21 countries were identified after full-text screening and included in the meta-analysis. …”
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Association of hypertension and plant-based dietary patterns on cognitive impairment: a nationwide cohort study in China by Fang Liang, Jialin Fu, Gabrielle Turner-McGrievy, Yechuang Wang, Kai Ding, Jing Zeng, Justin B Moore, Rui Li

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Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model by Shoukat Ali Shah, Songtao Ai, Hanxiao Yuan

“…The study introduces a novel quad-meta (QM) ensemble model that integrates outputs from four machine learning models – extreme gradient boosting (XGB), random forest (RF), gradient boosting machine (GBM), and decision tree (DT) – through meta-learning to improve the prediction accuracy for water levels under complex environmental conditions. …”
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LOCALIZACIÓN DE NUEVOS ASENTAMIENTOS HUMANOS Y SECTORES PRODUCTIVOS EN LA MESETA PATAGÓNICA ARGENTINA by Luis Alberto Bertani, María de los Ángeles Tesoniero, Lorena Conejeros Bilbao

“…They have a sandy texture and their effective depth varies between 0.73 m and 1.40 m. which makes them suitable for crops such as olive, vine, forestation, fodder, etc.…”
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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

“…To refine predictor selection, we applied a random forest algorithm. The top 10 variables, including admission to the surgical department, EGFR, hemoglobin, and others, were incorporated into a logistic regression-based prediction model. …”
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Quality of life disparities among Mexican people with systemic lupus erythematosus. by Ana Laura Hernández-Ledesma, Domingo Martínez, Elizabeth Fajardo-Brigido, Talía V Román-López, Karen J Nuñez-Reza, Andrea Y Tapia-Atilano, Sandra V Vera Del Valle, Donají Domínguez-Zúñiga, Lizbet Tinajero-Nieto, Angélica Peña-Ayala, Estefania Torres-Valdez, Gabriel Frontana-Vázquez, María Gutiérrez-Arcelus, Florencia Rosetti, Sarael Alcauter, Miguel E Rentería, Alejandra E Ruiz-Contreras, Deshiré Alpízar-Rodríguez, Alejandra Medina-Rivera

“…Data was analyzed as a cross-sectional study. A random forest model was implemented to assess potential predictive variables. …”
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A scoping review on the association between early childhood caries and life on land: The Sustainable Development Goal 15. by Morẹ Nikẹ Oluwátóyìn Foláyana, Robert J Schroth, Duangporn Duangthip, Ola B Al-Batayneh, Jorma I Virtanen, Ivy Guofang Sun, Arheiam Arheiam, Carlos A Feldens, Maha El Tantawi

“…<h4>Background</h4>The Sustainable Development Goal 15 (SDG15) deals with protecting, restoring, and promoting the sustainable use of terrestrial ecosystems, sustainably managing forests, halting and reversing land degradation, combating desertification and halting biodiversity loss. …”
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Amazon Journeys and Poetic Re-Discoveries in Jan Conn’s 'Jaguar Rain' and Malu de Martino’s 'Margaret Mee e a Flor da Lua' by Magali Sperling Beck, Anelise R. Corseuil

“…Originally from Britain, Mee lived in Brazil for more than thirty years, embarking on fifteen expeditions to the Amazon region between 1956 and 1988, painting while travelling in dugout canoes deep in the forest and becoming a fervent activist for the protection of the environment. …”
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Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

“…Among these studies, 33% have indicated that artificial neural network algorithms and random forest show the best performance. The criteria used to evaluate the models in the retrieved studies are diverse. …”
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Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR) by Yifan Li, JinFeng Ma, Wenhua Cheng

“…Results Among the 582 patients studied, machine learning models exhibited higher c-index values than the nomogram. Random Survival Forests (RSF) demonstrated the highest c-index (0.968), followed by Extreme Gradient Boosting (XG boosting, 0.945), Decision Survival Tree (DST, 0.924), the nomogram (0.808), and 8th TNM staging (0.757). …”
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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

“…To classify the WSD into its four classes (healthy, low infestation degree, medium infestation degree, and high infestation degree), two types of ML algorithms were tested; classical machine learning methods, namely, support vector machine (SVM) and k-nearest neighbors (KNN), and ensemble learning methods such as random forest (RF) and light gradient boosting machine (LightGBM). …”
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Eco-anthropologie et primatologie pour la conservation de la biodiversité : un projet collaboratif dans le Parc National de Moukalaba-Doudou, Gabon by Naoki Matsuura, Yuji Takenoshita, Juichi Yamagiwa

“…As the outcome of cooperation between primatologists and an ecological anthropologist, this article discusses possibilities for synthesizing the two academic domains and realizing biodiversity conservation in African tropical forests based on a collaborative project in and around the Moukalaba-Doudou National Park in Gabon.Primatologists describe in detail their relationships with local people which allow them to conduct effective field research. …”
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Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer by Huiying Qiao, Rong Lv, Yongkui Pang, Zhibing Yao, Xi Zhou, Wei Zhu, Wenqing Zhou

“…TME-related green and black modules were selected by WGCNA to further screen hub genes. Random forest and univariate and multivariate Cox regressions were applied to screen hub genes (MYO1G, TBC1D10C, SELPLG, and LRRC15) and construct a nomogram to predict the survival of BRCA patients. …”
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Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

“…Considering the imbalance of the flare data set, three ensemble learning models (Balanced Random Forest (BRF), RUSBoost (RBC), and NGBoost (NGB)) were utilized, which have gained popularity in statistical machine learning theory in recent years, combined with imbalanced data sampling techniques, to classify and predict the labels representing flare eruptions in the test set. …”
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Physiological characteristics of IRR 400 series rubber clones (Hevea brasiliensis Muell. Arg.) under drought stress [version 4; peer review: 1 approved, 2 approved with reservation... by Mohammad Basyuni, Yaya Hasanah, Syarifah Aini Pasaribu, Edison Purba

“…Rubber plantations have many uses, such as foreign exchange sources, job sources, forest revitalization, and a source of alternative wood for building materials and furniture. …”
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The interphase period “germination–heading” of 8x and 6x triticale with different dominant Vrn genes by P. I. Stepochkin, A. I. Stasyuk

“…The results of studying the interphase period “germination–heading” of spring octaploid and hexaploid forms of triticale created for use in research and breeding programs under the conditions of forest-steppe of Western Siberia are given in this article. …”
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Utilizing deep learning-based causal inference to explore vancomycin’s impact on continuous kidney replacement therapy necessity in blood culture-positive intensive care unit patie... by Min Woo Kang, Yoonjin Kang

“…A total of 1,318 patients were included in the analysis, with 41 requiring CKRT. The Random Forest and Light Gradient Boosting Machine exhibited the best performance, with Area Under Curve of Receiver Operating Characteristic Curve values of 0.905 and 0.886, respectively. …”
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Ethnocultural Landscape of Medieval Mausoleums in the Volga-Urals by Ivanov V.A.

“…Unlike the brick ones, the stone mausoleums-keshene of Husein-bek, Tura Khan, Small Keshene were built according to the traditions of Bulgarian architecture in the forest-steppe regions of the Dema River valley, a territory inhabited in the 14th century, by carriers of the Chiyalik culture. …”
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The efficiency of short-term crop rotations with different sunflower saturation by Zinaida Dehtiarova, Mykola Shevchenko, Yurii Dehtiarov, Victor Budyonny

“…The economic and energy efficiency of crop rotations saturated with sunflower under the conditions of the Left-Bank ForestSteppe region of Ukraine was calculated using technological maps and prices as of 2024. …”
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Human settlements and productive sectors locations in The argentine patagonian plateau by Luis Alberto Bertani, María de los Ángeles Tesoniero, Lorena Alicia Conejeros Bilbao

“…They have a sandy texture and their effective depth varies between 0.73 m and 1.40 m. which makes them suitable for crops such as olive, vine, forestation, fodder, etc.…”
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