Mechanical Description of a Hyper-Redundant Robot Joint Mechanism Used for a Design of a Biomimetic Robotic Fish by M. O. Afolayan, D. S. Yawas, C. O. Folayan, S. Y. Aku

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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

“…Based on evaluation metrics, the Gaussian Process Regression (GPR), CatBoost (CATB), and LightGBM (LGBM) models emerged as the most accurate and reliable, with over 97% of the finite element (FE) samples falling within a 10% error range. While the ML models demonstrate impressive performance, their black-box nature restricts their practical use in design applications. …”
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Metallurgical characterization of experimental Ag-based soldering alloys by Argyro Ntasi, Youssef S. Al Jabbari, Nick Silikas, Sara M. Al Taweel, Spiros Zinelis

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QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…We report the development and testing of software called QuantiFly: an automated tool to quantify Drosophila egg laying. …”
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Evaluation of Diagnostic Performance of Three Commercial Interferon-Gamma Release Assays for <i>Mycobacterium tuberculosis</i> by Richard Kutame, Gifty Boateng, Yaw Adusi-Poku, Felix Sorvor, Lorreta Antwi, Florence Agyemang-Bioh, Bright Ayensu, Vincent Gyau-Boateng, Franklin Asiedu-Bekoe

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Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

“…Our model (ExTr) outperforms selected models on a range of benchmark data, while offering two unique advantages: (1) full transparency (open descriptors and data) in contrast to proprietary black boxes, and (2) reduced computational cost compared to hybrid QM/ML approaches. …”
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Virulence attributes and antimicrobial profile of Pasteurella multocida isolated from pneumonic goats in Northern Tanzania by Irene Mwanga, Alexanda Mzula, Elisa Mwega, Andrew C. Chota, Philemon N. Wambura

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Inventory Information System Design at Kian Jaya Farma Pharmacy by Candra Hastuti, Rizki Nur Iman, Resti Rahayu, Fachrudin Pakaja

“…This system was developed using the waterfall method with Visual Studio Code, PHP and PHP My Admin software, while for system testing using the black box method to determine its functionality. …”
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New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines by Daniel Iong, Yang Chen, Gabor Toth, Shasha Zou, Tuija Pulkkinen, Jiaen Ren, Enrico Camporeale, Tamas Gombosi

“…We also perform a direct comparison between GBMs and neural networks presented in prior publications for forecasting the SYM‐H index by training, validating, and testing them on the same data. We find that the GBMs yield a statistically significant improvement in root mean squared error over the best published black‐box neural network schemes and the Burton equation.…”
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Detection of Salmonella spp., Candida albicans, Aspergillus spp., and Antimicrobial Residues in Raw and Processed Cow Milk from Selected Smallholder Farms of Zimbabwe by Tryness Anastazia Mhone, Gift Matope, Petronella Tapiwa Saidi

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Assessment of Raw Cow Milk Quality in Smallholder Dairy Farms in Pemba Island Zanzibar, Tanzania by S. H. Gwandu, H. E. Nonga, R. H. Mdegela, A. S. Katakweba, T. S. Suleiman, R. Ryoba

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The Revival of Fosfomycin: Susceptibility Assessment of Gram-Negative Bacteria from Hospitalized Patients by Prof Sónia Ferreira, Ricardo Goulart, Prof. Sónia Mendo, Dr António Maio, Prof Tania Caetano

“…Notably, all fosfomycin-resistant KpCarb were KPC+, while those producing NDM-1 remained susceptible. …”
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Hybrid ML-based predictive modeling and GUI development of calcium aluminate cement hydration and strength optimization for advanced and durable construction applications by Muwaffaq Alqurashi

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Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar by Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi

“…The developed models were validated by means of error metrics, residual assessment, and external validation checks which revealed that XGB is the most accurate algorithm having testing $$\:{\text{R}}^{2}$$ of 0.998 followed by BR having $$\:{\text{R}}^{2}$$ values equal to 0.946 while MEP had the lowest testing $$\:{\text{R}}^{2}$$ of 0.893. …”
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A Look-Up Table Assisted BiLSTM Neural Network Based Digital Predistorter for Wireless Communication Infrastructure by Reem Al Najjar, Oualid Hammi

“…The proposed predistorter is experimentally validated using 5G test signals. The results demonstrate the ability of the proposed predistorter to achieve a 5 dB enhancement in the adjacent channel leakage ratio when compared to its single-box counterpart (BiLSTM neural network predistorter) while maintaining the signal-agnostic performance of the BiLSTM predistorter.…”
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One Health Lens on Rabies: Human–Bat Interactions and Genomic Insights of Rabies Virus in Rural Lilongwe, Malawi by Nathan Singano, Henson Kainga, Elisha Chatanga, Joseph Nkhoma, Gilson Njunga, Julius Chulu, Rabecca Tembo, Hirofumi Sawa, Walter Muleya

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<i>Brucella</i> Seropositivity and Associated Risk Factors in Pastoral Livestock System in Northeastern Ethiopia by Berhanu Sibhat, Haileeyesus Adamu, Teferi Benti, Getachew Tuli, Kassahun Asmare, Johanna F. Lindahl, Ulf Magnusson, Tesfaye Sisay Tessema

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Emulsion electrospinning of lemongrass essential Oil-Loaded Ferula haussknechtii gum/ Polyethylene oxide as bioactive coating by Saeedeh Jafari, Abdollah Hematian Sourki, Safoora Pashangeh

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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

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Repellent Activity of TRIG (N-N Diethyl Benzamide) against Man-Biting Mosquitoes by Shandala Msangi, Eliningaya Kweka, Aneth Mahande

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