Surgical treatment of massive rotator cuff tears (literature review) by D. V. Menshova

“…Despite the large number of methods for the treatment of massive rotator cuff tears, there are no clear algorithms for managing patients and choosing one or another surgical tactics. …”
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Aspects of intensive therapy of diabetic ketoacidosis in pediatric practice (literature review) by Yu. V. Bykov, А. А. Muravyeva

“…Successful treatment of DKA in pediatric practice relies on clear understanding of the pathophysiological mechanisms of this complication and knowledge of the doses of the pharmaceutical drugs and volumes of infusion solutions to be used.…”
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Mapping Cell Identity from scRNA-seq: A primer on computational methods by Daniele Traversa, Matteo Chiara

“…However, depending on the underlying algorithmic approach and associated computational requirements, each method might have a specific range of application, with implications that are not always clear to the end user. …”
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Whose Bias is it, Anyway? The Need for a Four-Eyes Principle in AI-Driven Competion Law Proceedings by Jerome De Cooman

“…The argument is that although the use of algorithms increases procedural fairness by removing noise and cognitive biases from the decision-making process, the overall impact on procedural fairness remains far from clear given that the introduction of AI systems in public administration might perniciously generates new type of biases or harmful behaviours. …”
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Cranioplasty: Materials and Methods Review by A. V. Yarikov, A. P. Fraerman, V. A. Leonov, O. A. Perlmutter, S. E. Tikhomirov, A. V. Yaksargin, P. V. Smirnov

“…Currently, there are no clear established algorithms or timing for cranioplasty. …”
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Blind Remote Sensing Image Deblurring Based on Local Maximum High-Frequency Coefficient Prior and Graph Regularization by Zhidan Cai, Ming Fang, Zhe Li, Jinyi Ming, Huimin Wang

“…Comparative experiments demonstrate that, relative to several leading blind image deblurring algorithms, our approach demonstrates unparalleled efficacy in enhancing peak signal-to-noise ratio and structural similarity index measurements.…”
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Central Vascular Access Devices: Current Standards and Future Implications by Benito Baldauf, Roberto Cemin, Jana Hummel, Hendrik Bonnemeier, Ojan Assadian

“…Conclusions: The review underscores the need for clear, concise algorithms adaptable to various healthcare settings and the scalability of infection prevention systems to ensure resilience.…”
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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…Then, a multi-objective optimisation approach based on NSGA-II genetic algorithms is used for the evaluation of a range of passive energy retrofit strategies, with the aim of identifying the most effective. …”
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SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis by Geetika Munjal, Paarth Bhardwaj, Vaibhav Bhargava, Shivendra Singh, Nimish Nagpal

“…The Inception v3 model is used for classification, supported by gradient‐weighted class activation mapping and local interpretable model‐agnostic explanations algorithms, which provide clear visual explanations for model outputs. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…This suggests that there is no clear pattern for the machine learning models to accurately flag the comments, indicating that Albanian is linguistically challenging to analyze.…”
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Potential impact of coronaviruses upon cardiovascular system under COVID-19 pandemic by L.O. Tkachenko, O.A. Yepanchintseva, B.M. Todurov

“…The issues of routing, surgical and therapeutic treatment of patients with cardiovascular diseases, especially emergencies (acute myocardial infarction, decompensation of heart failure on the background of valvular heart disease) have become difficult. There are no clear algorithms and recommendations for the treatment of such patients in a pandemic and differ in different countries. …”
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MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification by Lei Cheng, Qian Huang, Zhengqun Zhu, Yanan Li, Shuguang Ge, Longzhen Zhang, Ping Gong

“…Conclusions Experimental results show that MoAGL-SA outperforms several popular algorithms on datasets for breast invasive carcinoma, kidney renal papillary cell carcinoma, and kidney renal clear cell carcinoma. …”
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Instruments for assessing healthcare professionals’ knowledge, attitudes and practices regarding deprescribing: a scoping review protocol by Luciane Cruz Lopes, Jardel Corrêa de Oliveira, Luis Phillipe Nagem Lopes, Mariana Del Grossi Moura, Ana Carolina Figueiredo Modesto, Laís Lessa Neiva Pantuzza

“…Studies focusing on deprescribing algorithms will be excluded. Studies in any healthcare setting will be included. …”
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Transformations in academic work and faculty perceptions of artificial intelligence in higher education by Jorge Buele, Leonel Llerena-Aguirre

“…Additionally, ethical debates are emerging around algorithmic transparency, data privacy, and institutional responsibility. …”
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Integrating machine learning for the sustainable development of smart cities by Manel Mrabet, Maha Sliti

“…It emphasizes the importance of high-quality data, clear models, and the right use of machine learning tools.…”
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Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER)... by Xu Zheng, Longqiang Shu, Shanyi Lin, Hanqiang Jin, Xiaoyu Wang, Ting Yuan

“…The primary objective was to select prognostic variables and develop optimal ensemble learning algorithms for survival prediction and analyzing chemotherapy benefit in high-grade chondrosarcoma. …”
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Machine learning and company failure prediction: Evidence from South Africa by Nicolene Wesson, Dewald Mienie, Anthea Myatt

“…Main findings: Two machine learning algorithms outperformed the traditional method in some years. …”
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Identification of Food/Nonfood Visual Stimuli from Event-Related Brain Potentials by Selen Güney, Sema Arslan, Adil Deniz Duru, Dilek Göksel Duru

“…Although food consumption is one of the most basic human behaviors, the factors underlying nutritional preferences are not yet clear. The use of classification algorithms can clarify the understanding of these factors. …”
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Analysis of the Utilization of Machine Learning to Map Flood Susceptibility by Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca

“…Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a clear roadmap for the deployment of ML‐based FSM frameworks. …”
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LA TRANSFORMADA DE LAPLACE EN LA SOLUCIÓN DE ECUACIONES DIFERENCIALES CON ALGORITMO DE CÁLCULO EN MATHCAD by JUAN ANTONIO MARTIN ALFONSO, CARLOS MANUEL MATA RODRÍGUEZ

“…In the present text is described an algorithmic procedure to find the solution of differential equations with initial conditions, applying the transformed of Laplace.…”
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