NEONATOLOGIST'S TACTICS IN CASES OF NEWBORN CONGENITAL MALFORMATION by Y. I. Kucherov

“…The article gives a description of the most frequent congenital malformations and an algorithm of managing newborns with this pathology on the maternity hospital stage.…”
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Does Gastroenterology Need Artificial Intelligence? by S. M. Kurbatsky

“…Aim. An outlook of trends and perspectives in gastroenterology in the age of digital healthcare.Key points. …”
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Semi-automated modeling of combined stained glasses by Andrii Petrushevskyi

“…It consists in creating a concept of new computer tools and an algorithm for their use, aimed at improving the quality of stained glass projects and speeding up the workflow. …”
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PERBANDINGAN KLASIFIKASI ALGORITMA C5.0 DENGAN CLASSIFICATION AND REGRESSION TREE (STUDI KASUS: DATA SOSIAL KEPALA KELUARGA MASYARAKAT DESA TELUK BARU KECAMATAN MUARA ANCALONG TAH... by Reni Pratiwi, Memi Nor Hayati, Surya Prangga

“…This research aims to determine the classification results of the C5.0 and CART algorithms and to determine the comparison of the accuracy classification results from these two methods. …”
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Building a Software System Using a Spiral Model to Evaluate the Overall Risk of Projects Using Fuzzy Number Theory by Jamal Sayed Majeed, Ro’a Amer Hussain

“…This research aims presented a practical application for the process of assessing the overall risk of the projects following the risk management in software engineering steps, the life cycle is the most famous in this area is a (Spiral Model), this model represented by the core of the process to building a system based on customers information taken from them in the form of hearings conversations. …”
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Optimal geometrical selection of skin mesh: experimental analysis and numerical optimization by Mehdi Khayami, Aisa Rassoli, Alireza Feizkhah

“…The optimal mesh geometry was then determined using genetic algorithms in Abaqus and MATLAB. A rectangular mesh, measuring 1.939 mm in length and 1.698 mm in width, was identified as the best design with an average stress of 0.0757 MPa. …”
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Wireless routeing scheme for UAV-assisted access networks based on the link path loss by Beza Negash Getu, Ali Alnoman

“…In this work, a group of unmanned aerial vehicles (UAVs) is aimed to function as relay nodes that provide a multi-hop wireless link between ground users. …”
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Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure by Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour

“…The aim of this paper is to present a new approach to address the Fuzzy C Mean algorithm, which is considered one of the most important and famous algorithms that addressed the phenomenon of uncertainty in forming clusters according to the overlap ratios. …”
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Paediatric atopic eczema (atopic dermatitis) in South Africa: A practical algorithm for the management of mild-to-moderate disease in daily clinical practice by Susanna M. Kannenberg, Sarah Karabus, Willem I. Visser, Jamilabibi Aboobaker, Magdalena M. Kriel, Michael Levin, Basil Magigaba, Ahmed Manjra, Rupesh Misra, Pholile Mpofu, Azwitamisi Tshigabe, Thomas Luger

“…Proactive maintenance treatment with low-dose TCI or TCS 2–3 times weekly and the liberal use of emollients is recommended for patients with recurrent flares. Conclusions: This algorithm aims to simplify treatment of paediatric AE, optimising clinical outcomes and reducing disease burden. …”
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Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…The possibility of using a geostatistical algorithm for correcting well data based on multiparameter geophysical data was assessed; the current state of modelling the processes of exploration and development of oil fields with a complex geological structure was analysed.…”
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Diagnostic Evaluation of Foreign Body Aspiration in Children by Ali Onur Erdem, Barlas Etensel, Mesut Yazıcı, Sezen Karaca Özkısacık

“…Aim:The aim of this study was to evaluate the place of clinical symptoms and findings, and radiological imaging in the diagnosis of foreign body aspiration (FBA) in children, and to investigate the validity of existing diagnostic algorithms.Materials and Methods:The medical records of 120 children with a diagnosis of FBA who underwent rigid bronchoscopy were examined. …”
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An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework by Junyan Sun, Xing Li, Zefei Chen

“…Additionally, simulated annealing is introduced to optimize the offspring population after crossover and mutation operations, further enhancing population quality, accelerating convergence, and strengthening local search capabilities. The algorithm results show that, compared to the traditional NSGA-II and the SA-NSGA-II algorithms with random initialization, the LHS-SA-NSGA-II algorithm demonstrates clear advantages in terms of total cost, carbon emissions, and distribution time, confirming its superiority in optimizing cold chain networks. …”
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Optimizing Pharmaceutical Inventory and Investment Strategies During Pandemics: A Dynamic Approach Integrating Environmental Emission Rates and Advanced Optimization Algorithms by Vinita Dwivedi, Mamta Keswani, Uttam Kumar Khedlekar, Lalji Kumar

“…The study addresses a complex replenishment problem involving joint pricing, environmental costs, order costs, preservation technology, and replenishment schedules for non-instantaneous deteriorating items, aiming to maximize retailer's profit. Advanced optimization algorithms, including Ant Colony and Cuckoo Search, determine optimal pricing, investment costs, and replenishment schedules. …”
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Design of high phase-sensitivity BlueP/TMDC heterostructure-based SPR biosensor using improved artificial bee colony algorithm by Chong Yue, Mantong Chen, Yaopu Lang, Qinggang Liu

“…This paper uses an innovative improved artificial bee colony (IABC) algorithm to aid in the fabrication of a highly responsive phase-modulation surface plasmon resonance (SPR) biosensor. …”
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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

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Clinical and situational analysis structured elements of caries intensities in motivation of the algorithm’s rehabilitation of caries pathology beside flying personnel of civil avi... by G. G. Ashurov, M. K. Shokirov, G. E. Mullodzhanov, D. T. Makhmudov, M. R. Gurezov

“…AIM. Study the structured factors of caries intensities in depending of cariesology status’ level besides flying personnel of the civil aviation for the reason’s motivations of the algorithm to rehabilitations of caries pathology.MATERIALS AND METHODS. …”
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Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm by Syahrul Adrianto, Bambang Agus Herlambang, Ramadhan Renaldy

“…To increase the security of customer data, a cryptographic algorithm is used, namely the Advanced Encryption Standard (AES) algorithm with a 256-bit key length to secure data that is considered sensitive and contains high privacy. …”
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Redefining Trauma Triage for Elderly Adults: Development of Age-Specific Guidelines for Improved Patient Outcomes Based on a Machine-Learning Algorithm by Ji Yeon Lim, Yongho Jee, Seong Gyu Choi, Yoon Hee Choi, Sam S. Torbati, Carl T. Berdahl, Sun Hwa Lee

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Methodology for Evaluating the Performance of a New Pulse Oximeter Model and Pulse Oximetry Algorithm in Neonates in a Clinical Trial (Exploratory Study) by T. S. Adylov, E. V. Shestak, V. Yu. Starkov

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Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 by Mequannent Sharew Melaku, Nebebe Demis Baykemagn, Lamrot Yohannes, Adem Tsegaw Zegeye

“…Abstract Tobacco smoking is a significant public health issue in sub-Saharan Africa, with its prevalence shaped by various demographic factors. This study aimed to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 using machine learning algorithms. …”
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