Flow simulation algorithm for gas gathering pipelines of natural gas fields by Yuling LYU, Zhenhe JIANG, Xiaowei LI, Jiakai SHI, Huaping CAO

“…MethodsBy integrating production data from a gas field with multiphase flow theory, hydraulic and thermodynamic calculation models were developed for gas gathering pipelines. A simulation algorithm was then proposed to analyze flow conditions, including fluid patterns, liquid holdup, pressure, and temperature at any cross-section of the pipeline. …”
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Modelling district heating demand: A synthetic dataset for two residential neighbourhoodsZenodo by Katia Ritosa, Ina De Jaeger, Dirk Saelens, Staf Roels

“…The extensive artificial datasets developed in this study capture the energy demands of two districts and, with reasonable constraints, emulate monitoring campaigns typically conducted on-site in inhabited houses. …”
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Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds by Pengwei Ren, Yongdong Peng, Liu Yang, Muhammad Zahoor Khan, Yadi Jing, Chao Qi, Zhansheng Liu, Shuer Zhang, Nenzhu Zheng, Meixia Zhang, Xiang Liu, Zhiming Zhu, Mingxia Zhu

“…Using top 60 feature selected SNPs, the random forest classification model successfully identified different breeds of ducks under the study with 96.2% accuracy. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

“…Among the essential study topics, the development of control techniques, such as maximum power point tracking (MPPT), is a thriving and quickly growing discipline. …”
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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…HeliEns combines the strengths of multiple quantum machine learning models, specifically Quantum K-Nearest Neighbors (QKNN), Quantum Naive Bayes (QNB), and Quantum Logistic Regression (QLR), to enhance diagnostic accuracy and reliability. The development of HeliEns involved rigorous data preprocessing steps, including data cleaning, encoding of categorical variables, and feature scaling, to ensure the dataset’s suitability for quantum machine learning algorithms. …”
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Assessment of the Impact of Investments in Fixed Capital on the Economic Growth of the Northern Regions of the Russian Federation by A. Ts. Dolgunova

“…The presence of “northern value appreciation” continues to be a feature of investment processes in the North.…”
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Anatomical characterization of Semi-arid Bignoniaceae using light and scanning electron microscopy by Romisha Sonia, Shabnum Shaheen, Muhammad Waheed, Sana Imran, Shiekh Marifatul Haq, Murad Muhammad, Abeer Hashem, Samiha Al Shehri, Elsayed Fathi Abd-Allah

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Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…The HAR system is primarily intended to assist healthcare providers and elderly care facilities using other technologies such as the Internet of Things (IoT). Standard pattern recognition techniques have developed significantly, but they continue to depend on heuristic and manual feature extraction, which undermines the generalization performance. …”
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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…Information-centric networking (ICN) is one of promising networking architectures to replace IP because its notable feature, in-network caching, is expected to reduce about a one-third of the forever increasing Internet traffic. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Machine learning (ML) is used in developing adaptive intelligent systems that can perform complex tasks beyond human abilities. …”
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Gut mycobiome maturation and its determinants during early childhood: a comparison of ITS2 amplicon and shotgun metagenomic sequencing approaches by Timothy Heisel, Sara Gonia, Abrielle Dillon, Susan L. Hoops, Gabriel A. Al-Ghalith, Daryl Gohl, Sagori Mukhopadhyay, Karen Puopolo, Peter Kennedy, Michael J. Sadowsky, Dan Knights, Dan Knights, Abigail J. Johnson, Jeffrey S. Gerber, Cheryl A. Gale

“…The relatively smaller contribution of fungi to the gut microbiome, as compared to bacteria, has posed technical challenges for the precise characterization of fungal communities (mycobiomes) and limited the ability to longitudinally examine mycobiome development.BackgroundThe aims of this study were to (1) characterize mycobiome maturation and identify clinical determinants of mycobiome compositional variation during the first 2 years of life and (2) compare two sequencing approaches (ITS2 amplicon and whole genome metagenomics) for characterizing mycobiome maturational features. …”
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Metastatic uterine histiocytic sarcoma: A rare presentation as solitary paraspinal mass by Aruba Nawaz Khattak, FCPS, Aymen Shahab, FCPS, Fatima Israr, MBBS, Hira Yaqub, MBBS, Zulfiqar Sheikh, MBBS, Kashif Siddique, FCPS, FRCR

“…On imaging, it has nonspecific features and a broad range of differentials, depending on regional involvement. …”
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Efficient approximate Bayesian inference for quantifying uncertainty in multiscale animal movement models by Majaliwa M. Masolele, J. Grant C. Hopcraft, Colin J. Torney

“…In our simulations, individuals respond to two environmental covariates and we employ all combinations of positive and negative selection coefficients corresponding to attraction to an environmental feature and avoidance of an environmental feature, respectively. …”
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Reusable Respiratory and Skin Protective Devices Will Help Russian NBC Protection Troops to Avoid Pathogenic Biological Agents by Valerii V. Vasilyev, Sergei N. Solovykh, Nikita V. Danyakin., Pavel V. Gorbachev

“…Considering all that the enterprises started a large-scale production of efficient respiratory and skin protective devices for medical staff in Kostroma and other regions of the Russian Federation. Design features of garment with respiratory and skin protective devices have served as a pattern for a promising protective set for Russian NBC Protection Troops that will help them to avoid pathogenic biological agents.…”
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Morphometric analysis of equid cheek teeth using a digital image processor: a case study of the Pleistocene Cedazo local fauna equids, Mexico by Christian Raúl Barrón-Ortiz, Gilfredo de la Riva-Hernández, Raúl Barrón-Corvera

“…In contrast to previous studies, we only analyzed cheek teeth with an equivalent stage of wear and developed a computer program that integrates a digital image processor to analyze the occlusal pattern and also to take measurements of different features of the occlusal surface. …”
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Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

“…The collection tool in this research includes a questionnaire of purchase intention pattern based on customers' experience in designed virtual networks. …”
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Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning by Xiaowei Zhuang, Van Vo, Michael A. Moshi, Ketan Dhede, Nabih Ghani, Shahraiz Akbar, Ching-Lan Chang, Angelia K. Young, Erin Buttery, William Bendik, Hong Zhang, Salman Afzal, Duane Moser, Dietmar Cordes, Cassius Lockett, Daniel Gerrity, Horng-Yuan Kan, Edwin C. Oh

“…We then develop a multivariate independent component analysis (ICA)-based pipeline to transform mutation frequencies into independent sources. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Aim of investigation. To study features of pancreatic involvement in patients with metabolic syndromeMaterial and methods. …”
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