A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This consistent success indicates that the Growth Optimizer is a strong contender for future enhancements aimed at further boosting its efficiency and effectiveness. Its current performance suggests significant potential for improvement, making it a promising focus for ongoing development efforts. …”
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Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods by Shanshan Li, Jiali Wang, Li Zhou, Hui Wang, Xiangyu Wang, Jian Hu, Qingxiu Ai

“…Six common machine learning algorithms, including Support Vector Machine (SVM), Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Tree, and k-Nearest Neighbors, were employed to identify benign and malignant changes in endometrial tissue. …”
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Modelling height to crown base using non-parametric methods for mixed forests in China by Zeyu Zhou, Huiru Zhang, Ram P. Sharma, Xiaohong Zhang, Linyan Feng, Manyi Du, Lianjin Zhang, Huanying Feng, Xuefan Hu, Yang Yu

“…This study simulated the HCB of Spruce fir broadleaved mixed forest in Northeast China using four non-parametric model approaches: generalized additive model, Cubist, boosted regression tree (BRT), and multiple adaptive regression spline. …”
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Simulating High-redshift Galaxies: Enhancing UV Luminosity with Star Formation Efficiency and a Top-heavy IMF by Tae Bong Jeong, Myoungwon Jeon, Hyunmi Song, Volker Bromm

“…Our simulation results indicate that both increasing star formation efficiency and adopting a top-heavy IMF play crucial roles in boosting the UV luminosity of high-redshift galaxies, potentially exceeding the limiting magnitude of JWST surveys in earlier epochs. …”
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Deep application of controlled-release urea increases the yield and saponin content of Panax notoginseng by regulating soil nitrate distribution by Yun-xia Su, Yun-xia Su, Yun-xia Su, Ping Zhao, Li-jie Jia, Li-jie Jia, Li-jie Jia, Yuan-feng Cao, Guan-ze Liu, Guan-ze Liu, Jun-wen Chen, Jun-wen Chen, Sheng-chao Yang, Sheng-chao Yang, Yan-li Zhou, Guang-qiang Long, Guang-qiang Long, Guang-qiang Long

“…Structural equation modeling indicated that soil NO3⁻-N supply in specific microareas directly affected the N uptake and increased total saponin content by increasing root length and surface area, thus boosting yield.ConclusionThis study identifies that the deep application of CRU at a depth of 6 cm has the potential to enhance both yield and quality of P. notoginseng and highlights that the spatial-temporal matching of soil NO₃⁻-N and plant roots was the key to applying CRU to ensure high yield and quality.…”
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The Role of Technical Car Features in Managing and Promoting New Peer-to-Peer Car-Sharing Systems: Insights from Potential Users and Strategic Implications for Service Providers by Katarzyna Turoń, Andrzej Kubik, Piotr Folęga, Andrzej Wilk, Peter Bindzar, Truong M. N. Bui

“…To validate the findings, a Gradient Boosting Regression (GBR) analysis was conducted, confirming the significance of the key factors identified by the SNA, such as fuel efficiency, battery capacity, and safety systems, thus strengthening the reliability of the results. …”
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Soil porosity as a key factor of soil aggregate stability: insights from restricted grazing by Yi Yang, Yi Yang, Yi Yang, Zhongju Meng, Zhongju Meng, Zhongju Meng, Haonian Li, Haonian Li, Haonian Li, Yue Gao, Yue Gao, Yue Gao, Tianyang Li, Tianyang Li, Tianyang Li, Lei Qin

“…The findings obtained from the computations using the boosted regression tree (BRT) demonstrated that, within the study period, soil porosity significantly affects soil aggregate stability compared to other factors. …”
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CD94-driven in vitro expansion of highly functional adaptive NKG2C+ NKG2A- CD57+ NK cells from CMV+ healthy donors by Chiara Giordano, Simona Carlomagno, Simona Carlomagno, Michela Falco, Claudia Cantoni, Claudia Cantoni, Massimo Vitale, Ignazio Caruana, Johannes Dirks, Alberto Serio, Letizia Muccio, Giulia Bartalucci, Alessandra Bo, Franco Locatelli, Franco Locatelli, Cristina Bottino, Cristina Bottino, Simona Sivori, Simona Sivori, Mariella Della Chiesa, Mariella Della Chiesa

“…In light of these features, adaptive NK cells represent suitable candidate to design next-generation therapies, based on their enhanced effector function which could be further boosted by Chimeric Antigen Receptors-engineering, or the combination with cell engagers. …”
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Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques by Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie

“…In this context, the current study proposes a novel approach by developing a thoughtful system for assessing performance and intelligent design utilizing ML models such as Gradient Boosting (GB), Random Forest (RF), Gaussian Process Regression (GPR), and Linear Regression (LR) to predict porosity and compressive strength (CS) of FG. …”
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One-Pot Synthesis and Enhanced Vis-NIR Photocatalytic Activity of NiTiO₃/TiO₂ Templated by Waste Tobacco Stem-Silks by Weidong Yuan, Xiaohong Chen, Yi Zhao, Ying Fang, Han Zhang, Daomei Chen, Jiaqiang Wang

“…Interestingly, NiTiO₃(1.5)/TiO₂(TSS) even exhibited good activity under NIR light (λ = 840~850 nm) without upconversion materials or plasmon-assisted noble metals, which is 2.8 and 2.2 times than TiO₂ prepared without templates and TiO₂(TSS), respectively. The boosting photocatalytic activity has been shown to be attributed to efficient charge separation and transfer across a direct Z-scheme heterojunction between NiTiO₃ and TiO₂ and enhanced light-harvesting ability of special flaky structure reduplicated from tobacco stem-silks. …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

“…We trained models in predicting sepsis by machine learning (ML) methods, including logistic regression, decision tree, random forest (RF), multi-layer perceptron, and light gradient boosting. We evaluated the performance of the five ML models and the evaluation metrics were: area under the ROC curve (AUC), accuracy, F1-score, sensitivity and specificity. …”
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Préférences pour les couleurs chez le macaque de Barbarie ("Macaca sylvanus") by Prune Lagner

“…Un individu pris isolément avait la possibilité de venir chercher de la nourriture posée sur deux boîtes de couleurs différentes. La couleur de la boîte sur laquelle la nourriture est prise en premier est enregistrée pour chaque essai pour un total de 12 essais par individu. …”
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Anatomical and Functional Outcomes of Vitrectomy with/without Intravitreal Methotrexate Infusion for Management of Proliferative Vitreoretinopathy Secondary to Rhegmatogenous Retin... by Samir El Baha, Mahmoud Leila, Ahmed Amr, Mohamed M. A. Lolah

“…Intravitreal infusion has the advantage of blocking the pathology in its nascence and obviates the need for repeated intravitreal injections of the drug.…”
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Comparative performance of microscopy, rapid diagnostic tests, and multiplex real-time PCR for detection of malaria parasites among pregnant women in northwest Ethiopia by Zemenu Tamir, Abebe Animut, Sisay Dugassa, Araya Gebresilassie, Mahlet Belachew, Adugna Abera, Berhanu Erko

“…Pooled multiplex qPCR detected 34 peripheral and 12 placental blood Plasmodium infections from microscopy and RDT negative samples. The pooled assay obviated about half of the reactions and its testing costs. …”
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Impaired creatinine-based estimated glomerular filtration rate in Thai individuals switching to dolutegravir: illustrating the role of cystatin C testing to aid clinical decision m... by Carlo Sacdalan, Curtis Austin, Aswathy Varma, Suteeraporn Pinyakorn, Eugène Kroon, Donn J. Colby, Phillip Chan, Orlanda Goh, Krittaporn Pornpaisakul, Jintana Intasan, Tassanee Luekasemsuk, Merlin L. Robb, Nitiya Chomchey, Nittaya Phanuphak, Jintanat Ananworanich, Sandhya Vasan, Denise Hsu, the SEARCH 010/RV254 study group

“…Conclusions Persistent eGFRcre decrease to < 90 ml/min/1.73 m2 after switch to DTG was common in this Thai population. eGFRcystC was helpful to identify individuals with clinically significant decrease in kidney function and obviate unnecessary ART modifications. Trial registration Clinical Trials Registry Number: ClininicalTrials.gov NCT00796146.…”
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The impact of biofeedback in enhancing chronic pain rehabilitation: A systematic review of mechanisms and outcomes by Andrea Calderone, Vincenza Maura Mazzurco Masi, Rosaria De Luca, Antonio Gangemi, Mirjam Bonanno, Daniela Floridia, Francesco Corallo, Giovanni Morone, Angelo Quartarone, Maria Grazia Maggio, Rocco Salvatore Calabrò

“…The evidence that was examined shows that it is effective in improving how pain is perceived, increasing functional results, and boosting overall quality of life among a variety of patient groups.…”
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Prediction of implant failure risk due to periprosthetic femoral fracture after primary elective total hip arthroplasty: a simplified and validated model based on 154,519 total hip... by M. A. Alagha, Justin Cobb, Alexander D. Liddle, Henrik Malchau, Ola Rolfson, Maziar Mohaddes

“…Results: The Lasso regression excelled in predicting 30-day revisions (area under the receiver operating characteristic curve (AUC) = 0.85), while the Gradient Boosting Machine (GBM) model outperformed other models by a slight margin for all remaining endpoints (AUC range: 0.79 to 0.86). …”
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Inhibition Mechanism of Pleurotus citrinipileatus Sing. Ergothioneine on Pancreatic Lipase Activity by Zhangchen XIA, Xiaohui MENG, Ru FANG, Yanqing MAO, Junwen CHENG, Yanbin WANG, Juan XU, Liang HE

“…This study was beneficial for the deep understanding the hyperlipidemia of PCEGT from molecular mechanism and boosted the future health food processing of Pleurotus citrinipileatus Sing..…”
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Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

“…We analyzed the impact of on-year and off-year phenological characteristics on the accuracy of hazard extraction and developed detection models for P. phyllostachysae hazard levels in on-year and off-year Moso bamboo using Support Vector Machine (SVM), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and one-dimensional Convolutional Neural Network (1D-CNN). …”
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Protective effect of brain and muscle arnt-like protein-1 against ethanol-induced ferroptosis by activating Nrf2 in mice liver and HepG2 cells by Yanan Zhao, Ranran Zhang, Ziheng Chen, Ziyi Wang, Shuang Guan, Jing Lu

“…Upon exposure to alcohol (5 % Lieber-DeCarli liquid alcohol diet for 10 days before binged alcohol with 5 g/kg body weight in vivo, 300 mmol/L for 12 h in vitro, respectively), the content of iron, reactive oxygen species (ROS) and malondialdehyde (MDA) was boosted significantly while glutathione (GSH) was decreased that mainly based on the downregulated protein expression of ferritin heavy chain (FTH), ferroportin (FPN), heme oxygenase1(HO-1) and anti-cystine/glutamate antiporter (SLC7A11), while these changes could be abolished by ferroptosis inhibitor Ferrostatin-1[Fer-1 (5 mg/kg body weight for 10 days in vivo, 10 μmol/L for 2 h in vitro, respectively)]. …”
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