Multidisciplinary Approach of a Male Case of Imported Malaria, HIV Chronic Infection, and Latent Syphilis by Rebeca Eunice García-Mendiola, Maritza Micheli García-Lucas, Jennifer Morales-Vázquez, Raúl Adrián Cruz-Flores, Miguel Ángel Loyola-Cruz, Clemente Cruz-Cruz, Emilio Mariano Durán-Manuel, Enzo Vásquez-Jiménez, Graciela Castro-Escarpulli, María de Jesús Sánchez-Guzmán, Victor Hugo Gutiérrez-Muñoz, Iliana Alejandra Cortés-Ortíz, Misael González-Ibarra, Juan Carlos Bravata-Alcántara, Jesús Alejandro Pineda-Migranas, Estibeyesbo Said Plascencia-Nieto, Carlos Alberto Jiménez-Zamarripa, Erika Gómez-Zamora, Claudia Camelia Calzada-Mendoza, Juan Manuel Bello-López

“…During the STI diagnostic algorithm, latent syphilis was detected and microscopic observation of blood smears revealed parasitic forms compatible with malaria. …”
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An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach by Soumyabrata Saha, Suparna Dasgupta, Adnan Anam, Rahul Saha, Sudarshan Nath, Surajit Dutta

“…The machine learning algorithms showed high accuracy, precision, recall, and F1-score in detecting suicide patterns on social media data whereas SVM has the highest performance with an accuracy of 0.886.       …”
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Method for Selecting Pulsed Signals by Their Duration in Fading Channels by M. V. Buhaiov, S. V. Zakirov

“…Based on the developed method, algorithms for automatic pulse selection for radio monitoring systems can be implemented. …”
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Percolation and connectivity formation in the dynamics of data citation networks in high energy physics by Sergey O. Kramarov, Oleg R. Popov, Ismail E. Dzhariev, Egor A. Petrov

“…An optimized algorithm for dynamic network separation in the Pajek software environment was applied, in order to detect the emergence of a largest component equivalent to a percolation transition. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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Multi-Trait Phenotypic Analysis and Biomass Estimation of Lettuce Cultivars Based on SFM-MVS by Tiezhu Li, Yixue Zhang, Lian Hu, Yiqiu Zhao, Zongyao Cai, Tingting Yu, Xiaodong Zhang

“…To address the problems of traditional methods that rely on destructive sampling, the poor adaptability of fixed equipment, and the susceptibility of single-view angle measurements to occlusions, a non-destructive and portable device for three-dimensional phenotyping and biomass detection in lettuce was developed. …”
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Two-Stage Systematic Forecasting of Earthquakes by Valery Gitis, Alexander Derendyaev

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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…While in the medical field, manually detecting ocular pathology has significant difficulty. …”
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Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology by Yinhu Gao, Peizhen Wen, Yuan Liu, Yahuang Sun, Hui Qian, Xin Zhang, Huan Peng, Yanli Gao, Cuiyu Li, Zhangyuan Gu, Huajin Zeng, Zhijun Hong, Weijun Wang, Ronglin Yan, Zunqi Hu, Hongbing Fu

“…Traditional endoscopic and pathological diagnostic processes are highly dependent on expert experience, facing problems such as high misdiagnosis rates and significant inter-observer variations. …”
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Influence of Aerobic Exercise Load Intensity on Children’s Mental Health by Sihong Zhao

“…As people have become more aware in recent years, aerobic physical exercise plays an important role in alleviating people’s mental health problems. However, traditionally, it is believed that young children do not have mental health problems. …”
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Overview of smart sensors based on machine learning by Wang Shuaida, Lin Guanying, Wang Nuansheng, Li Yang, Yin Meihua

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Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…In the context of Artificial Neural Networks (ANNs), the Levenberg-Marquardt (LM) algorithm is an extensively utilized optimization method. …”
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Decision Making Support System for the Diagnostics of the Cardiovascular System Pathologies by the X-ray Images of the Chest by A. G. Radzhabov

“…The importance of building algorithms for detecting extrapulmonary pathologies on chest X-ray images is dictated by the great social significance of many diseases of this group (for example, cardiovascular diseases), given the availability of such images, due to the widespread use of minimally invasive and relatively cheap X-ray diagnostic methods. …”
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A Survey on Adversarial Attacks for Malware Analysis by Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham

“…We systematically analyze adversarial generation algorithms from broader domains adapted to malware evasion attacks, proposing a taxonomy of adversarial evasion attacks within malware detection based on target domains(Windows, Android and PDF). …”
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Increasing use of artificial intelligence in genomic medicine for cancer care- the promise and potential pitfalls by Olivia O’Connor, Terri P. McVeigh

“…Artificial intelligence thrives on data, processing and learning from datasets with a degree of accuracy and efficiency that traditional computing algorithms can not achieve. Based on a patient’s genome sequence, AI could allow earlier detection of cancer, inform personalised treatment plans and provide insights into prognostication. …”
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High prevalence of resistance to macrolides and fluoroquinolones in Mycoplasma genitalium isolated from patients in two Russian megalopolises – Moscow and St. Petersburg in 2021– 2... by Edelstein I.A., Gushchin A.E., Gladin D.P., Romanov A.V., Negasheva E.S., Frigo N.V., Kozlov R.S., Potekaev N.N., Kozlova N.S., Borukhovich D.G.

“…Mutations to fluoroquinolones were detected in the parC gene in 47/185 (25%) and 73/345 (21%) samples from St. …”
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Multi-keyword attribute-based searchable encryption scheme supporting re-encryption for cloud storage by ZHANG Kejun, WANG Wenbin, XU Shaofei, YU Xinying, WANG Jun, LI Pengcheng, QIAN Rong

“…A blockchain-based verification algorithm was designed to detect tampering of third-party data. …”
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Multi-keyword attribute-based searchable encryption scheme supporting re-encryption for cloud storage by ZHANG Kejun, WANG Wenbin, XU Shaofei, YU Xinying, WANG Jun, LI Pengcheng, QIAN Rong

“…A blockchain-based verification algorithm was designed to detect tampering of third-party data. …”
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Role of clinical evaluation in the identification of coronary obstructive disorders in patients with stable coronary artery disease. Part I by A. N. Sumin

“…However, in clinical practice, a significant number of patients during CAG fails to detect coronary obstructive disorders, there is the so-called problem of “clean” coronary arteries. …”
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On the Effectiveness of the Minimization Approach to the Query Optimization by N. Mendkovich

“…The paper represents minimization algorithms based on the mathematical transformations, which detect and remove redundant conditions from query restriction to simplify it. …”
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