Unlocking health insights: exploring intention to adopt district health information systems in Bahir Dar City, northwest Ethiopia by Habtamu Alganeh Guadie, Amarech Kindie, Hunegnaw Almaw Derseh, Desta Debalkie Atnafu

“…BackgroundDistrict Health Information System version 2 (DHIS2) is an open-source platform designed for data collection, processing, analysis, and visualization within healthcare systems. …”
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Are simple models for natural ventilation suitable for shelter design? by Anna Conzatti, Daniel Fosas de Pando, Ben Chater, David Coley

“…Many competing airflow models are available to aid designers size windows for natural ventilation, but their complexity in terms of computation and the required expertise needed has limited their application in shelter design. …”
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Evaluation of the marginal fit and fracture resistance of interim restorations fabricated using different techniques: an in vitro study by Mostafa Elashkar, Yehia Aboushady, Merna Ihab, Mohamed T. El Halawani

“…Aim The aim of this in vitro study was to investigate the marginal fit and fracture resistance of manually fabricated, computer-aided design and computer-aided manufacturing (CAD/CAM) milled, and CAD/CAM three-dimensionally (3D) printed 3-unit interim fixed dental prostheses (FDPs). …”
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High-Precision Complex Orchard Passion Fruit Detection Using the PHD-YOLO Model Improved from YOLOv11n by Rongxiang Luo, Rongrui Zhao, Xue Ding, Shuangyun Peng, Fapeng Cai

“…This study introduces a pioneering partial convolution module (ParConv), which employs a channel grouping and independent processing strategy to mitigate computational complexity. …”
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Distribution of runs of homozygosity in Lactuca species and its implications for plant breeding and evolutionary conservation by Qianqian Zhang, Wenjun Lv, Defu Liu, Xueying Xie, Ke Yang, You Tang, Johann Solkner

“…It suggests that Stalk and Oilseed were still in a process of breeding. The comparison between PLINK computation and our developed in-house algorithm shows that PLINK tends to detect longer ROH, whereas our algorithm adopts a more conservative approach, resulting in fewer and shorter ROH segments detected with higher precision more suitable for NGS data. …”
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Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects by Mohsen Dehghanpour Abyaneh, Parviz Narimani, Mohammad Sadegh Javadi, Marzieh Golabchi, Samareh Attarsharghi, Mohammadjafar Hadad

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Identification of Novel Progesterone Receptor (PR) Inhibitors (<i>Homo sapiens</i>) from Metabolites of Biotransformation Fungal: A Bioinformatics Approach by Janaína de Araújo E. Dourado, Samuel Q. Lopes, David Esteban Q. Jimenez, Ryan S. Ramos, Irlon M. Ferreira

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A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations by Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwoździewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oğuz Lafcı, Ritse Mann, Carlos Martín-Isla, Fred Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir

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Estimation of Hydraulic Properties in Permeable Pavement Subjected to Clogging Simulation by Guoyang Lu, Zijian He, Pengfei Liu, Zhihao He, Gaoyang Li, Hao Jiang, Markus Oeser

“…The Aachen Polishing Machine (APM) was selected to perfectly serve as a simulator for clogging process of pavement in the actual service condition. …”
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Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique by Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar

“…The vital role of feature selection (FS) in handling such type of features cannot be ignored in the area of computational learning. The two most commonly used objectives for FS are the maximisation of the accuracy and minimisation of the number of features. …”
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Numerical Study on Two-phase Flow and Phase Change Heat Transfer of Cryogenic Fluid in Type B LNG Mock up Cargo Tank by Wu Sixian, Ju Yonglin, Fu Yunzhun

“…After reasonable simplification, two-phase flow and phase change heat transfer of a cryogenic fluid in the mock up tank were simulated by unsteady three-dimensional computational fluid dynamics(CFD). The volume of fluid model was selected to track the vapor-liquid interface. …”
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A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…Image texture computations employ the Gabor filter and gray-level run lengths to characterize the condition of a concrete surface. …”
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Bayesian inference: more than Bayes’s theorem by Thomas J. Loredo, Robert L. Wolpert

“…Bayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function. …”
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Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm by Jing Chen, Hao Jiang

“…In comparison to other related methods, the proposed method significantly shortens the computation time and enhances the overall optimization efficiency, which offers potential for real-time adjustment and flexibility of RFA design.…”
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Relation of organic and inorganic substances in formation of urolyths by A. K. Poliyenko, V. S. Boshchenko, O. A. Sevostiyanova

“…Crystallomorphological, polarization-optical, X-ray-diffraction, electron-microscopic, chemical, neutron-activation, and computer technologies of study of the urolyth structure have been used. …”
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An Investigation on Three-Point Bending of Foam-Filled Double Tubes and Parameter Optimization Using Response Surface Methodology by Abdolvahed Kami, Javad Shahbazi Karami

“…Finally, RSM was used to compute the best values of the parameters that result in the maximum energy absorption in bending and the lightest weight of the FFD tube. …”
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A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA by Yongjie Yang, Hao Yang, Fandi Meng

“…In the deep learning network architecture, we propose a convolutional neural network (CNN)–multi-head attention (MHA) model. During the training process, the backpropagation (BP) algorithm is used to compute the gradient of the loss function and update the parameters of the entire network, gradually optimizing the model’s performance. …”
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HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography by Parham Dehghani, Matthew J. DiDomizio

“…HFITS consists of two main components: pre-processing of infrared thermograms (obtained from heat transfer experiments), and inverse heat transfer analysis (to deduce heat flux over the planar surface in those experiments). …”
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Simulations of decane-ammonia autoignition in two mixture fractions by Angelos Kylikas, Epaminondas Mastorakos, Epaminondas Mastorakos

“…The results establish a robust computational framework for modeling dual-fuel combustion.…”
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Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks by Pengfei Xiao, Yecai Guo, Peixian Zhuang

“…In the proposed framework, a residual learning is utilized to directly reduce the mapping range from input to output, which speeds up the training process as well as boosts the destriping performance. …”
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