Use of Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) in Trauma Patients in French Level-1 Trauma Centers: A National Survey by Pauline Glasman, Thomas Clavier, Hervé Quintard, Jonathan Charbit

“…Results: Among the 41 French level-1 trauma centers, 18 (44%) had incorporated REBOA in their algorithm. In 2022, 78% (14/18) of these centers had experienced between 1 and 5 REBOA placements, 11% (2/18) between 6 and 10, and 6% (1/18) 10 or more placements. …”
Get full text

Mathematical Modelling of Acetaminophen Release in HPC/PAAm Hydrogel: Synthesis and Application by Abigail M. Díaz-Guerrero, Claudia A. Castillo-Miranda, Carlos F. Castro-Guerrero, Hernán Peraza-Vázquez, Ana B. Morales-Cepeda, Adrián F. Peña-Delgado

“…In order to describe the release of acetaminophen in HPC/PAAm gel, a genetic programming algorithm was used to accomplish Multigene Symbolic Regression (MSR). …”
Get full text

Accelerated photonic design of coolhouse film for photosynthesis via machine learning by Jinlei Li, Yi Jiang, Bo Li, Yihao Xu, Huanzhi Song, Ning Xu, Peng Wang, Dayang Zhao, Zhe Liu, Sheng Shu, Juyou Wu, Miao Zhong, Yongguang Zhang, Kefeng Zhang, Bin Zhu, Qiang Li, Wei Li, Yongmin Liu, Shanhui Fan, Jia Zhu

“…Here, using a synergistic genetic algorithm and machine learning, we propose and demonstrate a coolhouse film that regulates temperature and water for photosynthesis without requiring additional energy or water. …”
Get full text

Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…Eventually, the walrus optimization algorithm (WOA) is used for hyperparameter tuning to improve the parameters of the SSAE approach and achieve optimal performance. …”
Get full text

Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer by Yuan Zeng, Yuhao Chen, Dandan Zhu, Jun Xu, Xiangting Zhang, Huiya Ying, Xian Song, Ruoru Zhou, Yixiao Wang, Fujun Yu

“…The least absolute shrinkage and selection operator (LASSO) algorithm was applied to reduce the dimensionality of variables in the training set. …”
Get full text

Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.Results Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. …”
Get full text

Numerical simulation of magnetically driven nanomaterial rotating flow configured by convective-radiative cone with chemical reaction by Cyrus Raza Mirza, Muhammad Salman Kausar, Muhammad Nasir, M. Waqas, Nurnadiah Zamri, Iskandar Shernazarov, S.U. Khan, Nidhal Ben Khedher

“…Numerical outcomes for non-dimensional mathematical expressions are reported via bvp4c algorithm in MATLAB. The comprehensive results featuring dimensionless quantities are explored through graphs and arithmetic representations. …”
Get full text

SVR model and OLCI images reveal a declining trend in phycocyanin levels in typical lakes across Northeast China by Changchun Song, Yipei Xu, Chong Fang, Chi Zhang, Zhuohang Xin, Zhihong Liu

“…A novel segmented PC concentration remote sensing inversion model was developed using the support vector regression (SVR) algorithm and Sentinel-3 OLCI data to examine the spatiotemporal variations in PC concentrations across 11 representative lakes in Northeast China. …”
Get full text

Characteristics, Incidence, and Management of Immune Checkpoint Inhibitors Related Cardiovascular Adverse Events in Real-World Practice-A Retrospective Study in Chinese Han Populat... by Wang RH, Chen Y, Lou YL, Lu YL, Xu HM

“…CVAEs were identified through clinical assessment and the Naranjo algorithm. The management and outcomes of CVAEs were monitored over a median follow-up duration of 8 months.Results: Among the included 203 patients, 4.4% (9/203) developed CVAEs, including heart failure (n = 3), arrhythmia (n = 2), myocarditis (n = 2), and pericardial disease (n = 2), with a proportion (6/9) tending to be severe (grade 3 or grade 4). …”
Get full text

Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions by Guangpo Geng, Qian Gu, Hongkui Zhou, Bao Zhang, Zuxin He, Ruolin Zheng

“…In this study, remote sensing data, climate data, and soil moisture data from the winter wheat growth period in northern China from 2003 to 2017 were used to construct a crop yield simulation model based on the Random Forest (RF) algorithm. The effect of drought on winter wheat yield was quantitatively evaluated by calculating the fitting accuracy of the RF model, analyzing the importance of the factors influencing yield simulations, identifying a typical drought event, and determining the yield estimation accuracy as well as the percent yield loss (PYL) under drought conditions. …”
Get full text

Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…This research presents a data-driven structural health monitoring (SHM) approach for pipeline systems that leverages frequency response function (FRF) signals and artificial neural network (ANN) algorithms to accurately identify and classify diverse pipeline fault conditions. …”
Get full text

Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning by Yawen Liu, Haijun Niu, Jianming Zhu, Pengfei Zhao, Hongxia Yin, Heyu Ding, Shusheng Gong, Zhenghan Yang, Han Lv, Zhenchang Wang

“…From this feature pool, a hybrid feature selection algorithm combining the F-score and sequential forward floating selection (SFFS) methods was performed to select features. …”
Get full text

Investigating the effects of previous injury on subsequent training loads, physical fitness, and injuries in youth female basketball players by Yuanqi Huang, Shaonan Wang, Changfei Li, Yukun Wang, Zhanshuang Bai, Zhanshuang Bai, Binghao Lv, Yuheng Gui, Zhongjian Wei

“…Previous injury status was clustered using the K-means clustering algorithm to separate players into high-risk and low-risk groups. …”
Get full text

Assessing Nonlinear Dynamics and Trends in Precipitation by Ensemble Empirical Mode Decomposition (EEMD) and Fractal Approach in Benin Republic (West Africa) by Médard Noukpo Agbazo, Gabin Koto N’Gobi, Eric Alamou, Basile Kounouhewa, Abel Afouda

“…To overcome the detrending issue in the standard MFDFA method, the EEMD algorithm is embedded into the MFDFA. The study period is subdivided into three subperiods: 1951–1970, 1971–1990, and 1991–2010. …”
Get full text

Aircraft hybrid-electric environment for analysis and design (AHEAD) applied on a fixed-wing drone by Manuel A. Rendón, Patrícia H. Hallak, Yipsy Roque Benito, Marcelo Assato, Camila de Oliveira Cunha, Daniel Miranda Esther, Rafael Grande Pancini Delmonte, Denys Pinto Gonçalves

“…The aircraft is modeled in SUAVE and OpenVSP [1], propeller in QBlade [2], ICE in Diesel-RK [3], electrical components in MATLAB®/SIMULINK®, and the method algorithm is programmed in Python. By employing this method, it is possible to analyze the viability of substituting actual propulsion by hybrid.…”
Get full text

Detection of Dengue Virus-Specific IgM and IgG Antibodies through Peptide Sequences of Envelope and NS1 Proteins for Serological Identification by Pradeep Kumar Nagar, Deepali Savargaonkar, Anupkumar R. Anvikar

“…Whole protein sequences of E and NS1 of DENV were obtained from UniProtKB database. On the basis of algorithm prediction from DNASTAR, BCEPRED, and IEDB data resources, twelve peptides of E (EP1 to EP12) and eight peptides of NS1 (NS1-1 to NS1-8) were selected, which were common in all serotypes. …”
Get full text

Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. …”
Get full text

Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

“…A Random Forest Classification algorithm was employed to predict the incidence of different associations of cataracts (1, 2, or 3 types). …”
Get full text

Advancing GIS-based suitability analysis of BtX, PtX, PBtX, and eBtX facilities using the fuzzy analytic hierarchy process by Marcel Dossow, Mengxi Chen, Hartmut Spliethoff, Sebastian Fendt

“…. • Providing a practical, replicable algorithm that can guide users through the process, making it easier to apply in various geographic and project contexts.…”
Get full text

A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

“…We aim to develop a predictive model using a machine learning algorithm for identification of paroxysmal and persistent AF, and investigate the influencing factors. …”
Get full text