Effects of green manuring on chemical characteristics and microecology of tobacco-growing soil in central henan by Wei Liu, Xiaolong Chen, Yuanyuan Zhao, Hongzhi Shi

“…Compared to the CK treatment, the HM treatment boosted alkaline phosphatase and catalase activities by 20.54% and 61.98%, respectively, and increased the soil microbial biomass carbon and nitrogen content by 99.59% and 61.07%, respectively. …”
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Empire Seen from Within. Cinema Objects, Spaces and Edifices in the Limelight in Colonial India and Ceylon (1899-1950) by Vilasnee Tampoe-Hautin

“…I will linger on those cross-cultural encounters of the most serendipitous kind between objects, ideas and individuals converging to bring reels on wheels to the edge of Empire: a WW1 British Army tent, a projector, a rifle and a gramophone hoisted onto a bullock cart, travelling through the jungles of colonial Ceylon, reminiscent of Leonard Woolf’s uncelebrated novels… Finally, although beyond the scope of this volume, the question has at least to be raised of the restoration of these devices, capable of producing images whose rich nuances remain to date unequalled by digital technology. …”
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Innovative Role of Magnesium Oxide Nanoparticles and Surfactant in Optimizing Interfacial Tension for Enhanced Oil Recovery by Youssef E. Kandiel, Gamal Attia, Farouk Metwalli, Rafik Khalaf, Omar Mahmoud

“…Changes in Zeta Potential (from −2.54 to 3.45 mV) and pH (from 8.4 to 10.8) indicated improved MgO nanoparticle dispersion and stability, further boosting oil displacement efficiency under experimental conditions. …”
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The effect of thymus vulgaris extract and probiotic on growth performance, blood parameters, intestinal morphology, and litter quality of broiler chickens fed low-protein diets by Ali Golshahi, Mahmoud Shams Shargh, Behrouz Dastar, Enayat Rahmatnejad

“…Low-CP diets increased feed intake (FI) and feed conversion ratio (FCR) during the grower period (P > 0.05). Additives boosted FI and body weight gain (BWG) during the starter period, with probiotics having a stronger effect (P < 0.05). …”
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EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module by Fufang Li, Weixiang Zhang, Yi Shang

“…EMNet tackles two main challenges in few-shot learning: how to make an effective important feature extraction and enhancement in images, and improving generalization to new categories. The ESCA module boosts the precision in extracting crucial local features, enhancing classification accuracy. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Based on this knowledge, ensemble learning technique, partially developed for fitting problems, can be regarded as a solution. Light gradient boosting machine (LightGBM) is proved as one representative of the state-of-the-art ensemble learning, thus adopted as a potential solver to predict three target reservoir characters. …”
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A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data by M. Atzeni, G. Cappon, J. K. Quint, F. Kelly, B. Barratt, M. Vettoretti

“…The framework employs (i) k-means clustering to uncover potentially distinct patient sub-types, (ii) supervised ML techniques (Logistic Regression, Random Forest, and eXtreme Gradient Boosting) to train and test predictive models for each patient sub-type and (iii) an explainable artificial intelligence technique (SHAP) to interpret the final models. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

“…Methods We used 165,214 qPCR amplification curves from two studies to train and test two eXtreme Gradient Boosting (XGBoost) models. Previous manual analyses of the amplification curves by experts in qPCR analysis were used as the gold standard. …”
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Correction of CAMS PM₁₀ Reanalysis Improves AI-Based Dust Event Forecast by Ron Sarafian, Sagi Nathan, Dori Nissenbaum, Salman Khan, Yinon Rudich

“…A correction model that links pixel-wise errors with atmospheric and meteorological variables was taught using gradient-boosting algorithms. This model is then utilized to predict CAMS error in previously unobserved pixels across the Eastern Mediterranean, generating CAMS error fields. …”
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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). The best-performing model was fine-tuned and evaluated through split-set validation.Results We analyzed 1,235 critically ill patients with AP, of which 667 cases (54%) experienced AKI during hospitalization. …”
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Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial by Chuan-Ching Tsai, Jin Yong Kim, Qiyuan Chen, Brigid Rowell, X Jessie Yang, Raed Kontar, Megan Whitaker, Corey Lester

“…Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice. …”
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Regulation of NK cell development, maturation, and antitumor responses by the nuclear receptor NR2F6 by Johannes Woelk, Florian Hornsteiner, Stephanie Aschauer-Wallner, Patrizia Stoitzner, Gottfried Baier, Natascha Hermann-Kleiter

“…The therapeutic targeting of NR2F6 may be a promising strategy for boosting NKp46-dependent NK-cell-mediated tumor surveillance and metastasis.…”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…The most accurate CVM evaluation was observed for CS1, boasting a sensitivity of 0.87, a specificity of 0.97, and a DOR of 213. …”
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Engineering Soil Quality and Water Productivity Through Optimal Phosphogypsum Application Rates by Anrong Luo, Jun Li, Yanan Xiao, Zijian He, Jiaping Liang

“…Specifically, phosphogypsum enhanced yield through three pathways: (1) improving soil physical properties, which influenced soil nutrients and then improved enzyme activities; (2) directly affecting soil nutrients, which impacted enzyme activities and increased yield; and (3) directly boosting enzyme activities, leading to increased yield. …”
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A GIS-Based Estimation of Bioenergy Potential from Cereal and Legume Straw Biomasses in Alentejo, Portugal by Abel Rodrigues, Alexandre B. Gonçalves, Benvindo Maçãs, António Cordeiro, Paulo Brito

“…By contributing to the reduction of the large cereal dependence and the carbon emissions of the country, the proposed strategy would contribute to increasing the decentralized bioenergy production for applications in buildings and local facilities, significantly boosting the socio-economic dynamics of rural areas involved.…”
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IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description» by Hagmann, Dominik, Reiner, Franziska

“…This site moreover functions as a crucial reference point for early Christianity in the Southeast Alpine region and boasts a rich array of features: at least five early Christian churches, burials, auxiliary structures, and notable landmarks like the Gothic pilgrimage church of St. …”
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Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling by Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis

“…., linear regression (LR), automatic relevance determination (ARD), support vector regression (SVR), Gaussian process regression (GPR), eXtreme gradient boosting (XGBoost), and long short-term memory (LSTM)), XGBoost and SVR showed a dominant performance in the hypoglycaemic region and were selected as the constituent basis models of the ensemble model. …”
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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

“…Such a holistic framework, hence, further boosts classification and segmentation results by generating understandable outcomes for more rigorous benchmarking of detecting colorectal cancer and with higher reality towards clinical application feasibility.…”
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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

“…Multiple logistic regression, LASSO regression, random forest, Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) models were used to screen for feature factors significantly correlated with aCCI. …”
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Research on machine vision online monitoring system for egg production and quality in cage environment by Zhenlong Wu, Hengyuan Zhang, Cheng Fang

“…In the domain of egg production, the application of automation technologies is essential for boosting productivity and quality. This study introduces an online monitoring system designed for egg quality assessment within caged environments, incorporating a robotic patrol system for egg localization and a fixed video stream for quality analysis. …”
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