Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

“…All five machine learning models demonstrated strong discrimination on the validation set (AUC: 0.690–0.858). The eXtreme Gradient Boosting (XGBoost) model was the best performer [AUC: 0.858; sensitivity: 0.877; specificity: 0.981; accuracy: 0.841; positive predictive value: 0.629; negative predictive value: 0.851]. …”
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Towards The Future of Crab Farming: The Application Of AI with Yolox And Yolov9 To Detect Crab Larvae by Furqan Zakiyabarsi, Rezty Amalia Aras, Yabes Dwi Nugroho H, Muhammad Muhaimin Nur, Dimas Aditya Alfarizi, Muhammad Ulil Amri

“…Two models, You Only Look Once eXtreme (YOLOX) and YOLOv9, were evaluated for their performance. …”
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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…Abstract Global climate change has triggered frequent extreme weather events, leading to a significant increase in the frequency and intensity of forest fires. …”
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ECONOMIC WELFARE AND SOCIAL WELL-BEING OF THE POPULATION OF UKRAINE IN THE POSTWAR YEARS by Natalia Riabinina

“…Objective economic welfare is the main component of economic welfare, which is responsible for the level of availability of priority goods and services for the population, and state assistance in this direction is extremely necessary. The effectiveness of state institutions in terms of forecasts and specific assistance and developments of low-income segments of the population is evaluated. …”
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Hörbarkeit der Musik des 20. Jahrhunderts. Dargestellt am Beispiel der Dodekaphonie by Hubert Moßburger

“…Wird das Kriterium der Hörbarkeit als ästhetisches Werturteil benutzt, ist zu bedenken, daß Genauigkeit (Ton-für-Ton-Hören) und intendierte Ungenauigkeit (Gruppenhören) zwei extreme, jedoch gleichwertige Positionen des Hörens darstellen, die unendliche Zwischenstufen erlauben.…”
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A software system for modeling evolution in a population of organisms with vision, interacting with each other in 3D simulator by A. P. Devyaterikov, A. Yu. Palyanov

“…Determining the structure and parameters of the nervous systems of such organisms is an extremely difficult task. Moreover, at the cellular level they change over time, these including changes under the influence of the streams of sensory signals they perceive and the life experience gained, including the consequences of their own actions under certain circumstances. …”
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Study of a Space-Time Monitoring of High-Speed Railway Underline Structure Using Distributed Optical Vibration Sensing Technology by Baye Mbaye Diouf, Ailan Che, Shaokong Feng

“…The vibration monitoring results reveal two elements of the fault effects on the track slab dynamic response: the amplification of the dynamic response when the train is arriving and leaving the monitoring section and also causing extreme resonance when the train is passing increasing the vibration signal largely.…”
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

“…We use five Machine Learning (ML) techniques, including Random Forest (RF), Decision Tree (DT), Extreme Gradient Boosting (XGboost), Support Vector Machine (SVM) and Artificial Neural Network (ANN) to predict 2021 end-of-season sorghum yield in conflict affected Upper Nile and Western Bahr El Gazal states. …”
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Characteristics and prognostic values of abdominal aortic branches calcification in hemodialysis patients by Wen Shi, Xiaotong Xie, Yu Zhao, Yuqiu Liu, Xiaoliang Zhang

“…Background Vascular calcification is highly prevalent and associated with mortality in hemodialysis patients. However, extreme splanchnic arterial calcification in calciphylaxis with poor prognosis raises questions regarding the reliability of previous vascular calcification scoring methods. …”
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Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…To validate the clustering results, supervised classification methods—including K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—are utilized, alongside ensemble models based on RF and XGBoost. …”
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Accelerated pseudo-transient method for elastic, viscoelastic, and coupled hydromechanical problems with applications by Y. Alkhimenkov, Y. Y. Podladchikov

“…To demonstrate the flexibility of the APT method, we apply it to the nonlinear mechanical problem of strain localization using a poro-elasto-viscoplastic rheological model, achieving extremely high resolutions – <span class="inline-formula">10 000²</span> in 2D and <span class="inline-formula">512³</span> in 3D – that, to our knowledge, have not been previously explored for such models. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…This tool leverages the strengths of multiple regression-based and probabilistic machine learning methods, including LASSO (see the list of abbreviations in Appendix B), support vector machine, classification and regression trees, random forest, extreme gradient boosting, Gaussian process regression, and Bayesian ridge regression. …”
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Peculiarities of normative and legal regulation for the activity of higher education institutions with specific conditions which provide training for the National Police of Ukraine by D. V. Shvets

“…It has been determined that this need is due to the fact that a significant number of by-laws are extremely outdated and can not take into account all current trends in higher education institutions with specific training conditions that provide training for bodies and units of the National Police of Ukraine. …”
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Patrons and clients. The specificity of female clientelism in the Polish-Lithuanian Commonwealth at the turn of the seventeenth century. Research postulates. by Bożena Popiołek

“…Although detailed studies have provided us with numerous findings, this remains a wide, extremely complex and rich subject, and researchers constantly stipulate the need for further studies. …”
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Numerical Modeling and Stability Analysis of Surrounding Rock of Yuanjue Cave by Zhigang Meng, Fangzheng Fan, Xuebin Cui, Shu Tao, Yi Cao

“…Yuanjue Cave, located in Big Buddha Bay, Mount Baoding, Dazu Rock Carvings Area, has extremely high historical, artistic, and religious value and is an important grotto cultural relic in China. …”
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Potential of albumin dialysis at terminal liver failure in patients with chronic liver diseases by O. E. Nikiforova, Ye. N. Bessonova, O. M. Lesnyak, O. A. Stroganova

“…Albumin dialysis in the patients with cirrhosis enrolled to the waiting list of liver transplantation, allows to prolong scheduled interim to liver transplantation that is the extremely important factor, allowing to survive to operation and to decrease mortality in patients with terminal liver failure.…”
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Typology of Tomato Cropping Systems and Determinants of Preharvest Losses in Western Cameroon by Roland Wilfried Titti, Anne Stéphanie Etoga, Pierre Germain Ntsoli, Georges Marius Kossi Etame, Asafor Henry Chotangui, Réné Mbonomo Bikomo, Aoudou Yaouba

“…The tomato-based cropping systems were classified into three types: (1) a pure cultivation system that consumes excessive synthetic fertilizers and results in significant losses; (2) a pure cultivation system that consumes high amounts of synthetic fertilizers and moderate amounts of organic fertilizers with moderate losses; and (3) a cultivation system that involves moderate synthetic fertilizer consumption, extremely low organic amendment, and low losses. Preharvest losses can be significantly affected by the unregulated use of synthetic fertilizers. …”
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Transformasi Kota Cerdas dalam Mitigasi Banjir: Pemodelan Curah Hujan DKI Jakarta dengan Pendekatan Spatial Vector Autoregressive (SpVAR) dan Pemetaan Bobot Queen Contiguity by Rinda Lolita Melanwati, Eni Sumarminingsih, Henny Pramoedyo

“…Abstract Climate change and extreme weather pose global challenges, including in Indonesia, leading to increased floods in DKI Jakarta. …”
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Online resources on gene networks containing human and animal data by E. V. Ignatieva, D. A. Afonnikov, N. A.  Kolchanov

“…In this regard, the information on the structural and functional organization of gene networks accumulated in modern databases is extremely valuable. This review characterizes a number of Internetaccessible information resources oriented to humans and animals and containing data on gene networks and their functional modules. …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. These algorithms provide a coherent framework that can serve as a standard for evaluating and comparing models in future research. …”
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