Modern Bioinformatics Solutions Used for Genetic Data Analysis by Ya. A. Kibirev, A. V. Kuznetsovskiy, S. G. Isupov, I. V. Darmov

“…For each stage bioinformation utilities have been developed, differing  in implemented analysis algorithms. Conclusion. Open source utilities that do not require access to remote resources  for their operation are of greatest interest due to activities specifics of NBC protection corps units.…”
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Parametrical Synthesis of Radio Devices with the Set Quantity of Identical Cascades for Inclusion Variants of Jet Two-port Networks between a Nonlinear Part and Loading by A. A. Golovkov, A. V. Fomin

“…As a matching device, reactive, resistive, complex, or mixed quad-poles were used.Aim. Development of algorithms for parametric synthesis of radio devices with an arbitrary number of identical cascades of the "nonlinear part – matching reactive quadrupole" type according to the criterion of ensuring the specified frequency characteristics. …”
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Radiology AI and sustainability paradox: environmental, economic, and social dimensions by Burak Kocak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo

“…Socially, AI risks perpetuating healthcare disparities through biases in algorithms and unequal access to technology. On the other hand, AI has the potential to improve sustainability in healthcare by reducing low-value imaging, optimizing resource allocation, and improving energy efficiency in radiology departments. …”
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Fitting Quality of NMR Relaxation Data to Differentiate Asphalt Binders by Rebecca M. Herndon, Kevin Lai, Magdy Abdelrahman, Klaus Woelk

“…In this study, <i>T</i>₁ NMR relaxation analyses were used to differentiate between solid asphalt binders and determine the fastest yet still-reliable method of modeling exponential decay data. Algorithms that fit exponential decay relaxation data using one, two, or three independent relaxation times were compared with a 128-coefficient discrete inverse Laplace transformation to determine the best mathematical fit for a comparative analysis. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…Traditional machine learning algorithms frequently experience overfitting when processing high-dimensional time-series data or substantial numbers of outliers, impeding the accurate prediction of various vegetation metrics. …”
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Comprehensive analysis of total knee arthroplasty kinematics and functional recovery: Exploring full-body gait deviations in patients with knee osteoarthritis. by Xavier Gasparutto, Alice Bonnefoy-Mazure, Michael Attias, Katia Turcot, Stéphane Armand, Hermès H Miozzari

“…Patients were clustered by applying K-means algorithms on full-body kinematic features of gait before surgery. …”
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Design and validation of a novel multiple sites signal acquisition and analysis system based on pressure stimulation for human cardiovascular information by Gaiqin Liu, Yuan Li, Longcong Chen, Juan Jiang, Jie Tian, Panpan Feng

“…Furthermore, the results suggest that the system can facilitate in-depth research into the relationships between collected signals and CVDs, provide rich raw data for cardiovascular health assessment and disease prediction models based on machine learning algorithms, and offer a new non-invasive method for early diagnosis, evaluation, and prediction of CVDs.…”
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Audio signal transmission method in network-based audio analytics system by Антон Порошенко, Андрій Коваленко

“…To achieve these goals, the following methods are used: mathematical signal processing, data compression algorithms, optimization of network protocols, and the use of high-speed network connections. …”
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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…While no cure currently exists, recent advancements in preventive drug trials and therapeutic management have increased interest in developing clinical algorithms for early detection and biomarker identification. …”
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Review: Multiobject tracking in livestock − from farm animal management to state-of-the-art methods by M.H. Nidhi, K. Liu, K.J. Flay

“…The use-cases, datasets, and algorithms of MOT applied to livestock were thoroughly examined. …”
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Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks by Ricardo Manzano, Marzia Zaman, Darshana Upadhyay, Nishith Goel, Srinivas Sampalli

“…However, effectively utilizing this data often requires its aggregation on a central server to train algorithms capable of identifying and preventing malicious attacks, such as reconnaissance, DoS (Denial of service), DDoS (Distributed denial of service) within IoT networks. …”
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Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematolo... by Vinod Kumar, Chander prabha, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…A multi-model machine learning approach compares nine algorithms: KNN, AdaBoost (AB), logistic regression (LR), random forest (RF), SVM, naive Bayes (NB), decision tree (DT), gradient boosting (GB), and stochastic gradient descent (SGD). …”
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TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway by Qinghua Yang, Junfei Feng, Hongyuan Xu, Tao Kang, Qingjun Wei, Hua Jiang

“…Six key genes were distinguished through least absolute shrinkage and selection operator (LASSO) algorithms combined with machine learning approaches and receiver operating characteristic (ROC) curve analysis. …”
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Influence of patient motion on definition of typical cephalometric reference points in digital horizontally scanning cephalometric radiography by Kim Martin, Christos Katsaros, Robert Brylka, Ulrich Schwanecke, Ralf Schulze

“…Future advancements in this field may include the integration of artificial intelligence or algorithms for the purpose of motion correction.…”
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Results of clinical developments of early triple negative breast cancer drug treatment: ASCO-2022 by D. A. Andreev, A. A. Zavyalov

“…The results presented in this article once again substantiate the prospects for further determination of algorithms for biomarker-personalized immunotherapy (in particular, pembrolizumab) as part of the combined antitumor treatment of RMZHER–/PR–/HER2– at early stages. …”
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A stepped approach for the management of symptomatic internal derangement of the temporomandibular joint by Candan Efeoglu, Aylin Sipahi Calis, Huseyin Koca, Esra Yuksel

“…However patient selection algorithms, indications for minimally invasive procedures and details of the techniques should be further studied for safe and cost effective management of these cases. …”
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Predicting the occurrence of probable sarcopenia in middle-aged and elderly patients with coronary artery disease: development and validation of a clinical model by Xiaolan Sun, Jia Xu, Feier Chen, Haiyan Lei, Wei Chen, Fang Ding, Xueping Li

“…Abstract The objective of this research was to identify the factors contributing to the decline in handgrip strength among middle-aged and elderly individuals with this condition. In addition, an algorithmic model for the detection of probable sarcopenia will be developed. …”
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Evolutionary Genetic Analysis of the Pyrazinamidase Gene in Seven Global Populations of Mycobacterium tuberculosis by Neha Kumari, Nikhat Khan, Aparup Das

“…Several statistical analyses under different algorithms were conducted and biological/evolutionary inferences were drawn. …”
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Numerical dispersed flow simulation of fire-flake particle dynamics and its learning representation by Jong-Hyun Kim, Jung Lee

“…In this article, not only we propose algorithms that can express these techniques through numerical simulation, but we also extend this solver using artificial intelligence techniques to enable learning representation. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…Technical advancements in computer vision have been overwhelmingly successful, primarily driven by the harnessing of deep learning algorithms. Recently, Vision Transformers (ViTs) have emerged as a viable alternative to conventional neural networks. …”
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