How fast is the frequency of precipitation extremes doubling in global land regions? by Guillaume Chagnaud, Juliette Blanchet, Guillaume Evin, Benoit Hingray, Thierry Lebel, Geremy Panthou, Théo Vischel

“…Contextualizing the potential future consequences of precipitation intensification in a current temporal frame of reference may help perceive climate change as an ongoing phenomenon, in turn encouraging adaptation planning. Using an ensemble of climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) in a non-stationary extreme value framework, we quantify the time it takes for the frequency of extreme 1-day and 7-day precipitation accumulations –as estimated in the current climate– to double; the frequency double time (FDT) is estimated for a range of event rarities over land regions. …”
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A Novel Stacked Model for Classification of Vocal Cord Paralysis Over Imbalanced Vocal Data by K. Jayashree Hegde, K. Manjula Shenoy, K. Devaraja

“…In this paper, the proposed stacked ensemble model, InceptionV3-EfficientNetB0-ViT-B/16, is employed to classify Vocal Cord Paralysis (VCP) and healthy subjects over an imbalanced dataset in hand using spectrograms as a feature. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…Backpropagation neural network (BP), Stacked Ensemble Learning (SEL), and Gradient Boosting Decision Tree (GBDT) models were employed to develop CHL monitoring models for the maize canopy. …”
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Unfolding cascading impacts of changing South Asia monsoon on a Hindu Kush Himalayas basin by Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Arshad Ansari, Suraj Tiwari, Roma Thakurathi, Rejoice Thomas, Hesham El-Askary

“…These scenarios are projected using an ensemble of five bias-corrected CMIP6 climate models under Shared Socioeconomic Pathways 2-4.5 and SSP 5-8.5 for three-time frames: Near Future (2025–2050), Mid Future (MF) (2051–2075), and Far Future (2076–2100). …”
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Folklore et écriture vernaculaire dans The Autobiography of Miss Jane Pittman by Laurence Cossu-Beaumont

“…Le récit est ancré dans la culture de la Louisiane, une culture complexe où maîtres blancs et esclaves puis métayers noirs traversent des tragédies communes, et écrivent ensemble leur Histoire commune dans une langue vernaculaire qu’ils partagent aussi, ainsi que l’illustre le drame de Tee Bob et Mary Agnes, et surtout le récit à deux voix qu’en font Jane et Jules Raynard (« speculatin » p. 205).…”
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The Global Burden and Trends of Legionella spp. Infection-Associated Diseases from 1990 to 2021: An Observational Study by Yonghong Zhong, Linfeng Shen, Yan Zhou, Yibo Sun, Xiaofang Fu, Huaqiong Huang

“…Methods Age-standardized disability-adjusted life years (ASR-DALYs) and age-standardized death rates (ASDRs) of LSIADs from 1990 to 2021 were accessed from the Global Burden of Disease (GBD) 2021, which utilized the Bayesian hierarchical meta-regression tool and the Cause of Death Ensemble model to estimate these metrics. Trends in disease burden across age, sex, region, and Socio-Demographic Index (SDI) levels were estimated using annual percentage changes (EAPCs) and annual percentage changes (APCs). …”
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Quantifying the Impact of Climate Change and Forest Management on Swedish Forest Ecosystems Using the Dynamic Vegetation Model LPJ‐GUESS by John Bergkvist, Fredrik Lagergren, Md. Rafikul Islam, David Wårlind, Paul A. Miller, Maj‐Lena Finnander Linderson, Mats Lindeskog, Anna Maria Jönsson

“…LPJ‐GUESS was forced with climate data derived from an ensemble of three earth system models to study long‐term implications of a low (SSP1‐2.6), a high (SSP3‐7.0), and a very high (SSP5‐8.5) emissions scenario. …”
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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…Following methodological refinement, it becomes apparent that ensemble learning approaches, exemplified by XGB and LGBM, exhibit markedly superior predictive performance, surpassing conventional models with an accuracy rate exceeding 85%. …”
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La La place des femmes dans les modes de gestion des terres coutumières et communautaires au Cameroun by Natali Kossoumna Libaa, Saïdou Safiatou, Christiane Tobith

“…Les terres communautaires sont une catégorie ou un sous-ensemble faisant partie des terres coutumières. Elles sont possédées collectivement par la communauté qui y exerce sa compétence, détermine les droits relatifs à la terre et aux ressources de ce domaine, réglemente et défend ces derniers. …”
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Identification of tacrolimus-related genes in familial combined hyperlipidemia and development of a diagnostic model using bioinformatics analysis by Yuan Xu, Hongfei He, Haiyang Li

“…Methods: Dataset GSE1010 containing information on patients diagnosed with FCHL was obtained from the Gene Expression Omnibus (GEO), and an ensemble of tacrolimus-related genes (TRGs) was retrieved from the GeneCards, STITCH, and Molecular Signatures Database databases. …”
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Assessing the robustness and implications of econometric estimates of climate sensitivity by Trude Storelvmo, Menghan Yuan, Thomas Leirvik, Kari Alterskjær, Peter C B Phillips, Chris Smith

“…This increases confidence in the new observation-based central estimate and range, which is respectively higher and narrower than the mean and spread of the estimates from the entire ensemble of CMIP6. Many ESM-based estimates tend to produce TCRs lower than the observational range reported here. …”
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Investigation of Randomly Populated Cylindrical, Spherical, and Cubical Arrays for Application in Space, Aerial, and Underwater Collaborative Beamforming by Kristopher R. Buchanan, Roanne Manzano-Roth, Annie Lin, Gabriella Loaiza, Meghan Sills, Jin Li, Sara R. Wheeland, Sounak Chakrabarti, Angelica R. Rodriguez, Gregory H. Huff, Mark Patefield, Anthony Jones

“…Therefore, statistical, ensemble, mean-valued average beampatterns scanned at the meridian elevation plane are analyzed in closed form using a large population of one million elements densely populated amongst geometrical bounds. …”
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Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

“…Model construction involved an ensemble of ML, including random forest (RF), support vector machine (SVM), k-nearest neighbors (KNN), naive Bayes (NB), neural network (NNET), generalized linear model (GLM), and gradient boosting machine (GBM). …”
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Prediction of Groundwater Level Based on the Integration of Electromagnetic Induction, Satellite Data, and Artificial Intelligent by Fei Wang, Lili Han, Lulu Liu, Yang Wei, Xian Guo

“…To this end, this study first constructed the ECa prediction model and the RS_GWL with ensemble machine learning algorithms using environmental variables and field observations (474 ECa reads and 436 groundwater level observations from a mountain–oasis–desert system, respectively). …”
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Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China by Haixia Qi, Shuangliang Ma, Jing Chen, Junping Sun, Lingling Wang, Nan Wang, Weisi Wang, Xiefei Zhi, Hao Yang

“…We then established multi-model ensemble Bayesian model averaging (BMA). The prediction effect for PM2.5 and O3 was ranked as CUACE > CMAQ > NAQP and the prediction effect for SO2, NO2 and CO was CMAQ > NAQP > CUACE. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…Abstract The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. …”
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Compact source for quadripartite deterministically entangled optical fields by Yanhong Liu, Yaoyao Zhou, Liang Wu, Jiliang Qin, Zhihui Yan, Xiaojun Jia

“…Our findings propose that the resultant GHZ and linear cluster states can be potentially applied in quantum-enhanced information science, specifically in quantum secret sharing, controlled quantum teleportation networks, and quantum-entangled atomic ensemble networks.…”
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From Polydeoxyribonucleotides (PDRNs) to Polynucleotides (PNs): Bridging the Gap Between Scientific Definitions, Molecular Insights, and Clinical Applications of Multifunctional Bi... by Cíntia Marques, Alexandre Porcello, Marco Cerrano, Farid Hadjab, Michèle Chemali, Kelly Lourenço, Basste Hadjab, Wassim Raffoul, Lee Ann Applegate, Alexis E. Laurent

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Environmental exposures related to gut microbiota among children with asthma: a pioneer study in Taiwan by Aji Kusumaning Asri, Tsunglin Liu, Hui-Ju Tsai, Jiu-Yao Wang, Chih-Da Wu

“…Air pollution was estimated using an ensemble learning model that combined regression and machine-learning algorithms, while greenspace was quantified using the normalized difference vegetation index (NDVI) and green land-cover data. …”
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بررسی دقت و کارایی مدل‌های بازتحلیل شده هیدرولوژیکی در برآورد میزان تبخیر از مخازن سدها (مطالعه موردی: سد یامچی اردبیل)... by زهرا وهاب زاده آراسته, اتابک فیضی, لیلا ملکانی

“…در مقاله حاضر به بررسی کارایی مدل‌های بازتحلیل شدۀ هیدرولوژیکی SWBM، HTESSEL، HBV-SIMREG، Ensemble و LISFLOOD برای تخمین مقدار تبخیر از مخزن سد یامچی اردبیل پرداخته شد. …”
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