Computational simulation of heat transfer and nanofluid flow for two-sided lid-driven square cavity under the influence of magnetic field by Sharma Madhu, Sharma Bhupendra K., Kumar Anup, Almohsen Bandar, Laroze David, Urbanowicz Kamil

“…A pressure-based solver with a Semi-Implicit Method for Pressure-Linked Equations algorithm is used to simulate the governing equations of the model. …”
Get full text

Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design by Fatai Olatunde Adunola, Victor Nnamdi Omeke, Ashraf Adam Ahmad, Asharimantun Reuben Bunu, Alfred John Nkohon, Emmanual Obiajulu

“…The methodology includes modelling and simulating a wireless sensor network using Simulink, implementing a network that incorporates 4 separated sensor nodes that transmits to a gateway with a time lag of 6 min between each node, implementing a thresholding algorithm for energy efficiency, the network is programmed to transmit for 5 min every 4 h for a total period of 24 h. …”
Get full text

Impacts of productive safety net program (PSNP) on soil and water conservation in Southern Tigray region, Ethiopia by Abadi Teferi Alemaw, Hadush Redae Kahisu, Teka Michael, Goitom Lijaine Gebre, Hailekiros Nigus Adhana, Alem Mezgebo Hailu, Sintayehu Gulilat Zelelew

“…The Nearest neighbor (4) matching estimator was selected as the best matching algorithm which has a large matched size, good balancing test, and low pseudo R2. 204 respondents from treated and 130 from control group matched respondents were used to come up with the final result. …”
Get full text

U-net based approach for pectoralis muscle segmentation in digital mammography by Francesca Angelone, Alfonso Maria Ponsiglione, Roberto Grassi, Francesco Amato, Mario Sansone

“…This study aims to propose an automatic breast segmentation algorithm that combines traditional methods with Deep Learning methods limited only to the border region between the muscle and the breast. …”
Get full text

Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study by Shan Huang, Yanping Bai, Ruozhou Qi, Hongda Yu, Xingwu Duan

“…Relapse predictors were identified using the Boruta algorithm combined with multivariate Cox regression. …”
Get full text

Temporal multimorbidity patterns and cluster identification: a longitudinal analysis of administrative data by Jennifer K. Ferris, Brandon Wagar, Alex Choi, Jonathan Simkin, Hind Sbihi, Kari Harder, Kate Smolina

“…We applied a community detection algorithm to identify multimorbidity disease clusters. …”
Get full text

The method for approximate continuous Skyline query based on privacy protection in road network by Song Li, Xiaolong Yang, Liping Zhang, Guanglu Sun

“…It also uses an associated filtering algorithm. These tools help to swiftly process continuous queries. …”
Get full text

A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy by Omneya Attallah

“…This research introduces a novel computer-aided diagnosis (CAD) framework aimed at improving breast cancer detection via thermal imaging. …”
Get full text

An efficient enhanced stacked auto encoder assisted optimized deep neural network for forecasting Dry Eye Disease by Steffi Rajan, Suresh Ponnan

“…The current study introduces the ESAE-ODNN, an improved stacked autoencoder-aided optimised deep neural network, as a new way to predict DED using feature selection (FS), feature extraction (FE), and classification. …”
Get full text

The characteristic of lethality as an indicator of combinad infections by V. V. Nechaev, A. K. Ivanov, I. P. Fedunyak, V. B. Musatov, M. N. Pogromskaja, A. B. Bubochkin, L. N. Pozhidaeva, A. A. Sacra

“…For this purpose it is necessary to carry out registration of HIV infection not only in the AIDS centers, but also regional in the form of the uniform register SI (HIV+TB+HIC or HIB) for the purpose of complex impact on epidemic process.…”
Get full text

Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

“…A multi-objective evolutionary algorithm calculates Pareto optimal solutions for site selection, allowing for a balanced consideration of conflicting EMS siting objectives. …”
Get full text

Automated descriptive cell type naming in flow and mass cytometry with CytoPheno by Amanda R. Tursi, Celine S. Lages, Kenneth Quayle, Zachary T. Koenig, Rashi Loni, Shruti Eswar, José Cobeña-Reyes, Sherry Thornton, Tamara Tilburgs, Sandra Andorf

“…Overall, CytoPheno can aid researchers in timely and unbiased phenotyping of post-clustered cytometry data.…”
Get full text

THE ANALYSIS OF FACTORS INFLUENCING THE TERMS OF HOSPITAL ADMISSION IN PATIENTS WITH ACUTE CORONARY SYNDROM (ACCORDING TO THE LIS STUDY DATA – LYUBERTSY STUDY ON MORTALITY RATE IN... by M. L. Ginzburg, N. P. Kutishenko, S. Yu. Martsevich, A. V. Fokina, E. V. Daniels, A. V. Zaharova

“…Very high and high cardiovascular risk patients underestimate severity of possible complications of their disease and necessity for emergency call, they are also not familiar with the first aid algorithm in emergency cases. To reduce prehospital delay hospital and out-patient clinic doctors have to regularly inform high-risk patients and their relatives about the ACS symptoms and methods of the first aid.…”
Get full text

Enhanced Pedestrian Navigation with Wearable IMU: Forward–Backward Navigation and RTS Smoothing Techniques by Yilei Shen, Yiqing Yao, Chenxi Yang, Xiang Xu

“…Zero-Velocity Update (ZUPT)-aided Strapdown Inertial Navigation System (SINS) based on foot-mounted wearable Inertial Measurement Units (IMUs) has shown great performance in pedestrian navigation systems. …”
Get full text

Pathology in a digital realm: food for thought! by Palzum Sherpa

“…Digital Pathology, as defined by Digital Pathology Association is an image-based environment that enables the acquisition, management, and interpretation of information generated from a digitalized glass slide.1 The advent of fast and affordable whole slide scanners has aided in this paradigm shift from traditional to virtual microscopy. …”
Get full text

NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…This work provides a reliable computer-aided diagnostic tool for radiologists and shows strong potential for clinical application, particularly in resource-limited healthcare settings.…”
Get full text

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

“…Various machine learning algorithms were trained and evaluated on datasets containing different parameters obtained using the Pentacam device. …”
Get full text

Hybrid Attention-Enhanced Xception and Dynamic Chaotic Whale Optimization for Brain Tumor Diagnosis by Aliyu Tetengi Ibrahim, Ibrahim Hayatu Hassan, Mohammed Abdullahi, Armand Florentin Donfack Kana, Amina Hassan Abubakar, Mohammed Tukur Mohammed, Lubna A. Gabralla, Mohamad Khoiru Rusydi, Haruna Chiroma

“…In medical diagnostics, brain tumor classification remains essential, as accurate and efficient models aid medical professionals in early detection and treatment planning. …”
Get full text

Genetic Diversity in the Capsid Protein-Coding Region of HIV-1 Circulating in Benguela, Angola: Implications for Primary Resistance to the Novel Capsid Inhibitor Lenacapavir by Gonçalo Queirós, Lesya Yefimenko, Filomena M. Pereira, João Piedade

“…In 2023, the HIV-1 pandemic claimed around 630,000 lives worldwide due to AIDS-related complications. Its burden is significantly heavier in Sub-Saharan Africa, where an increased HIV-1 genetic diversity is common, which increases the risk of resistance to antiretroviral (ARV) drugs. …”
Get full text

Land-cover classification in Addo Elephant National Park: Analyzing the impact of variables, classifiers, and object-based approach by Mohammad Safaei, Jane Southworth, Cerian Gibbes, Hannah V. Herrero, Mashoukur Rahaman, Bewuket B. Tefera, Jason K. Blackburn

“…The land-cover classification process using ML algorithms involved experimentation with various predictor variables, including spectral bands, spectral indices, time-series data, and textural information. …”
Get full text