In silico engineering of fullerene-like Al12N12 nanostructured for the adsorption of PH3, NH3, and COCl2 industrial affili-ate gases by Ededet A. Eno, Eban L. Kechi, Favour A. Nduoma, Henry O. Edet

“…The M06-2X, B97XD, and PBE0 functionals were used for adsorption computational comparison along with the 6-311++G (d, p) basis set. …”
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Effects of the <i>DEFB1-20G>A</i> and <i>DEFB1-52G>A</i> gene polymorphism on the level of beta 1 defensin (DEFB1) in young adults with community-acquired pneumonias by B. T. Zagalaev, N. A. Miromanova, A. M. Miromanov

“…The purpose of the present study was to evaluate the effect of DEFB1-20G&gt;A and the DEFB1- 52G&gt;A gene polymorphisms on the expression of DEFB1 in military-age patients with a history of communityacquired pneumonia. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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Rapid molecular testing or chest X-ray or tuberculin skin testing for household contact assessment of tuberculosis infection: A cluster-randomized trial. by Menonli Adjobimey, Anete Trajman, Mayara Lisboa Bastos, Chantal Valiquette, Diana Gibson, Frimege Djohoun, Olivia Oxlade, Federica Fregonese, Dissou Affolabi, Valentin Kouchade, Elisa Aguiar, Renata Spener-Gomes, Marcelo Cordeiro-Santos, Renato T Stein, Marcelo Scotta, Andrea Benedetti, Dick Menzies

“…<h4>Background</h4>The World Health Organization recommends evaluation of all household contacts (HHC) of index tuberculosis (TB) patients for TB disease (TBD) and TB infection (TBI). …”
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Detection of tuberculosis in HIV-infected and -uninfected African adults using whole blood RNA expression signatures: a case-control study. by Myrsini Kaforou, Victoria J Wright, Tolu Oni, Neil French, Suzanne T Anderson, Nonzwakazi Bangani, Claire M Banwell, Andrew J Brent, Amelia C Crampin, Hazel M Dockrell, Brian Eley, Robert S Heyderman, Martin L Hibberd, Florian Kern, Paul R Langford, Ling Ling, Marc Mendelson, Tom H Ottenhoff, Femia Zgambo, Robert J Wilkinson, Lachlan J Coin, Michael Levin

“…A 27 transcript signature distinguished TB from LTBI and a 44 transcript signature distinguished TB from OD. To evaluate our signatures, we used a novel computational method to calculate a disease risk score (DRS) for each patient. …”
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Using Fuzzy C-Means clustering and PCA in public health: A machine learning approach to combat CVD and obesity by Gamal Saad Mohamed Khamis, Nasser S. Alqahtani, Sultan Munadi Alanazi, Mohammed Muharrab Alruwaili, Mariam Shabram Alenazi, Maneaf A. Alrawaili

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Game on or game over? Gamification from 360-degree perspective, perception, confidence, and challenges in simulation based nursing education: mixed-method study by Mohamed Hashem Kotp, Hasan Ahmed Awad Bassyouny, Mohamed Ahmed Aly, Rasha Kadri Ibrahim, Abdelaziz Hendy, Ahmed Shaaban Attia, Ahmed Khalaf Mekdad, Ahmed Ali Hafez, Sally Mohammed Farghaly Abdelaliem, Nadiah A. Baghdadi, Ahmed Hendy, Hossam Ali Ismail

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User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study by Valentina Cox, Preetika Sharma, Garima Singh Verma, Navneet Gill, Nadia G. Diamond-Smith, Mona Duggal, Vijay Kumar, Rashmi Bagga, Jasmeet Kaur, Pushpendra Singh, Alison M. El Ayadi

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Enable, empower, succeed: a bioinformatics workshop Harnessing open web-based tools for surveillance of bacterial antimicrobial resistance by Luria Leslie Founou, Opeyemi U. Lawal, Armando Djiyou, Erkison Ewomazino Odih, Daniel Gyamfi Amoako, Stephane Fadanka, Mabel Kamweli Aworh, Sindiswa Lukhele, Dusanka Nikolic, Alice Matimba, Raspail Carrel Founou

“…We provide a detailed description of the relevant training approaches used, including workshop structure, the selection and planning, and utilization of freely available web-based tools, and the evaluation methods employed. Our approach aimed to overcome limitations such as inadequate infrastructure, limited access to computational resources, and scarcity of expertise. …”
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Characterization of Post-Production Waste from Winemaking of Selected <i>Vitis vinifera</i> L. Varieties Grown in Temperate Climates and Their Energy Valorization by Magdalena Kapłan, Grzegorz Maj, Kamila E. Klimek, Kamil Buczyński, Anna Borkowska, Radek Sotolář, Richard Danko, Mojmir Baroň

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Multi-Objective Optimization of Distributed Generation Placement in Electric Bus Transit Systems Integrated with Flash Charging Station Using Enhanced Multi-Objective Grey Wolf Opt... by Yuttana Kongjeen, Pongsuk Pilalum, Saksit Deeum, Kittiwong Suthamno, Thongchai Klayklueng, Supapradit Marsong, Ritthichai Ratchapan, Krittidet Buayai, Kaan Kerdchuen, Wutthichai Sa-nga-ngam, Krischonme Bhumkittipich

“…The proposed method also demonstrated superior solution quality with low variance and faster convergence, requiring under 7 h of computation on average. A five-method compromise solution strategy, including TOPSIS and Lp-metric, enabled transparent and robust decision-making. …”
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Asymptomatic sigmoid diverticulum perforation-induced subcutaneous, mediastinal, and retroperitoneal emphysema: A case report and literature review by Daichi Setoguchi, Naoki Iwanaga, Kotaro Nema, Tomoya Hagiwara, Kotaro Hayashida, Koki Yamashita, Tatsuro Hirayama, Masataka Yoshida, Kazuaki Takeda, Shotaro Ide, Masato Tashiro, Takahiro Takazono, Masachika Kitajima, Noriho Sakamoto, Koichi Izumikawa, Katsunori Yanagihara, Keiji Inoue, Hiroshi Mukae

“…Therefore, if retroperitoneal emphysema is combined with mediastinal emphysema, evaluation, including abdominal CT, should be performed to identify the cause of emphysema.…”
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Novel Leech Antimicrobial Peptides, Hirunipins: Real‐Time 3D Monitoring of Antimicrobial and Antibiofilm Mechanisms Using Optical Diffraction Tomography by S. Dinesh Kumar, Jeongwon Park, Naveen Kumar Radhakrishnan, Yam Prasad Aryal, Geon‐Hwi Jeong, In‐Hyeok Pyo, Byambasuren Ganbaatar, Chul Won Lee, Sungtae Yang, Younhee Shin, Sathiyamoorthy Subramaniyam, Yu‐jin Lim, Sung‐Hak Kim, Seongsoo Lee, Song Yub Shin, Sung‐Jin Cho

“…Here, a computational analysis of the leech transcriptome using an advanced AI‐based peptide screening strategy with ODT to identify potential AMPs is employed. …”
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A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment by Weihao Li, Jianhua Chen, Sijuan Chen, Peilin Li, Bing Zhang, Ming Wang, Ming Yang, Jipu Wang, Dejian Zhou, Junsen Yun

“…While significant advancements in computer hardware and artificial intelligence (AI) algorithms have catalyzed substantial progress in AI-based RUL prediction, extant research frequently exhibits a narrow focus on specific algorithms, neglecting a comprehensive and comparative analysis of AI techniques across diverse equipment types and operational scenarios. …”
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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

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Bicuspid Valve Aortopathy: Is It Reasonable to Define a Different Surgical Cutoff Based on Different Aortic Wall Mechanical Properties Compared to Those of the Tricuspid Valve? by Pasquale Totaro, Alessandro Caimi, Giulia Formenton, Martina Musto, Martina Schembri, Simone Morganti, Stefano Pelenghi, Ferdinando Auricchio

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Enhancing underwater acoustic communication networks with RIS: Precise performance analysis over κ − μ shadowed fading distribution by Moloy Kumar Ghosh, Mostafa Zaman Chowdhury

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Ultrasound colonography in visualization of large intestine cancer pathology by N. V. Tumanskaya, A. A. Fedusenko

“…Examining patients with cancer pathology, a radiologist faces to a number of problems, one of which is the evaluation of the pathological process in accordance to the TNM classification. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

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Peripandemic outcomes of infants treated for sentinel congenital heart diseases in England and Wales by Massimo Caputo, Christina Pagel, Sonya Crowe, John Nolan, Deborah A Lawlor, Qi Huang, Rodney CG Franklin, Kate L Brown, Ferran Espuny-Pujol

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