Diagnosis of hypertonicity of the masticatory muscles at a dental appointment by Yu. A. Makedonova, A. A. Vorobev, A. N. Osuko, A. V. Alexandrov, D. Yu. Dyachenko, A. G. Pavlova-Adamovich

“…In view of the variety of clinical symptoms from headaches to the phenomena of oral stomalgia, the diagnosis of hypertension is extremely difficult. Also, there is currently no single algorithm for the management of such patients.Materials and methods. …”
Get full text

Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…To achieve effective disease management, prompt detection of SPLCV is necessary and crucial. Currently, SPLCV is detected using a variety of molecular techniques, including polymerase chain reaction, loop-mediated isothermal amplification, and enzyme-linked immunosorbent assay, which are laborious, expensive, time-intensive, and limited in practicality for use in rapid, in situ diagnostic applications. …”
Get full text

Laparoscopic Surgeries in Pediatric Abdominal Surgical Emergencies by Elena Yu. D’yakonova, Aleksandr Yu. Razumovskii, Abdumanap B. Alkhasov, Alexander A. Baranov, Leyla S. Namazova-Baranova, Aleksandr S. Bekin, Aleksei А. Gusev, Ekaterina A. Romanova

“…The article considers the issues of the development of laparoscopic surgery in pediatrics, the current state of this problem in surgical hospitals, the difficulties associated with transition to minimally invasive surgical interventions, in providing emergency surgical care for children. …”
Get full text

Monitoring Changes to Small-Sized Lakes Using Medium Spatial and Temporal Satellite Imagery in the Badain Jaran Desert from 2015 to 2020 by Qinyu Zhao, Luyan Ji, Yonggang Su, Kai Yu, Yongchao Zhao

“…However, due to the tradeoff between pixel size and swath width, currently no single satellite sensor can provide such a time series. …”
Get full text

Use ATCCfinder to identify commercially available American Type Culture Collection strains based on sequence queries by Samuel I. Koehler, Earl A. Middlebrook, Blake T. Hovde, Erik R. Hanschen

“…Using ATCC-sourced reference genomes ensures consistent quality and analysis methodologies are implemented to accurately represent strain sequences. Currently, ATCC does not provide methods to search for sequence similarity between many query sequences and ATCC genomes. …”
Get full text

Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province by Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang

“…The eXtreme Gradient Boosting (XGBoost) algorithm was employed to assess the influence of key environmental features, including precipitation, temperature, PM10, potential evaporation, vegetation cover, and NDVI, on BD incidence. …”
Get full text

Study on the pore structure evolution and microscopic seepage characteristics of coal under high pressure air blasting by Shaoyang Yan, Fuqiang Gao, Xiaolin Yang, Huaibao Chu, Bo Sun, Chang Wang

“…The vessel axial skeleton algorithm in Avizo software was adopted to extract the connectivity channels between connected pores and fissures, which realizes the 3D visualization of coalbed methane seepage in the spatial topology structure at the microscopic scale. …”
Get full text

Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

“…While the interaction of clinical, psychological, and social factors remains unclear, developing a predictive model system is urgently needed. Currently, few studies have established insomnia risk prediction models. …”
Get full text

Identification of progression-related genes and construction of prognostic model for chronic kidney disease by machine learning by Bingkun Zhou, Hu Zhou, Xiaodong Huang, Shijie Liu

“…Besides routine laboratory indicators and medical history, risk prediction models can predict CKD outcome. However, there is currently a lack of CKD prognostic prediction models based on transcriptomics and machine learning.MethodsUtilizing weighted correlation network analysis (WGCNA) and random forest algorithms in GSE137570, three core gene sets of different sizes were constructed, which were externally validated in GSE66494 and GSE180394, and evaluated for their predictive performance in GSE45980 by receiver operating characteristic (ROC) curves. …”
Get full text

Prediction method of gas content in deep coal seams based on logging parameters: A case study of the Baijiahai region in the Junggar Basin by Yijie Wen, Shu Tao, Fan Yang, Yi Cui, Qinghe Jing, Jie Guo, Shida Chen, Bin Zhang, Jincheng Ye

“…Abstract Currently, regression prediction methods based on logging data is one of the main methods for analyzing gas content of coal seams. …”
Get full text

BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
Get full text

Mathematics teachers’ perceptions of computational thinking and its integration into mathematics education by Muhammad Zuhair Zahid

“…Computational thinking is a problem-solving process involving abstraction, algorithmic thinking, automation, debugging, decomposition, and generalisation. …”
Get full text

Parameter-Free Improved Best-Worst Optimizers and Their Application for Simultaneous Distributed Generation and Shunt Capacitors Allocation in Distribution Networks by Zohaib Hussain Leghari, Saddam Hussain, Ahsanullah Memon, Abdul Hakeem Memon, Ashfaque Ahmed Baloch

“…For the proposed first optimizer, BWO-1, parallel taxonomy has been adopted for the Jaya and Rao-1 combination to obtain dual sets of updated solutions for a given current solution set. For the proposed second optimizer, BWO-2, along with the parallel taxonomy, a subloop of random scaling factors has been introduced in the solution updating mechanism of both standard Jaya and Rao-1 algorithms to generate multiple sets of updated solutions in a single iteration. …”
Get full text

Classification of mammograms: Comparing a graphical to a geometrical approach by Anirban Ghosh, Priya Ranjan, Kumar Dron Shrivastav, Rajiv Janardhanan

“…In this scenario, the large-scale deployment of computer-aided diagnosis using well-trained algorithms could significantly reduce the morbidity and mortality associated with this carcinoma. …”
Get full text

OPTIMAL AIRCRAFT CONTROL SYNTHESIS BASED ON THE EQUATIONS OF NON-LINEAR DYNAMICS by V. F. Dil, V. N. Sizykh

“…The authors define method stages of flying level synthesis which include: selection of aircraft reference movements in accordance with three degrees of freedom, structuring the control algorithms and their parameters, defining the proximity of current and reference movements by means of a quadratic functional and further extremum-minimum movement organization by the gradient method. …”
Get full text

Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes by Tom Peham, Ludwig Schmid, Lucas Berent, Markus Müller, Robert Wille

“…A central ingredient in fault-tolerant quantum algorithms is the initialization of a logical state for a given quantum error-correcting code from a set of noisy qubits. …”
Get full text

Myocardial Infarction with Non-Obstructive Coronary Arteries: Contemporary Diagnostic and Management Approaches by T. H. Hoang, P. V. Lazarev, V. V. Maiskov, A. I. Meray, Zh. D. Kobalava

“…Recently, the mechanisms of MINOCA as well as the performance of diagnostic algorithms and therapeutic strategies have been extensively studied. …”
Get full text

Validation of controllers for photovoltaic inverters using automated tests and hardware-in-the-loop by João V. L. Rosa, Luiz F. R. Menegazzo, Lucas V. Belinaso, Fernanda de M. Carnielutti, Humberto Pinheiro

“…This approach allows control designers to identify potential issues in advance, refine algorithms, and enhance controller performance before the complete hardware certification process of the inverter. …”
Get full text

Future global distribution and climatic suitability of Anopheles stephensi by Andre Luis Acosta, Marcia C. Castro, Gabriel Z. Laporta, Jan E. Conn, Maria Anice M. Sallum

“…Using a robust multi-model framework with eight algorithms and high-resolution climate data, this study assessed and mapped current and future global climate suitability for the species, incorporating demographic data to estimate populations at risk in different scenarios. …”
Get full text

Research Progress on State of Charge Estimation Methods for Power Batteries in New Energy Intelligent Connected Vehicles by Hongzhao Li, Hongsheng Jia, Ping Xiao, Haojie Jiang, Yang Chen

“…To address these challenges, this study systematically classifies existing SOC estimation algorithms, performs comparative analyses of their computational complexity and accuracy, and identifies the inherent limitations within each category. …”
Get full text