Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Machine learning classifiers, including support vector machine, random forest, adaptive boosting, and k-nearest neighbors, were trained using weak supervision and minority oversampling to handle sparse and imbalanced pain labels. …”
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KAP of influenza, streptococcal pneumonia, and herpes zoster among community-dwelling older adults with chronic diseases in Nanjing city: a cross-sectional survey by Zhengkai SHEN, Siyu TIAN, Zhiyong WANG, Wenjing ZHU, Lirong DONG, Jinshui XU

“…MethodsThe study population consisted of 7 074 residents aged 60 years and older with hypertension or type 2 diabetes who were recruited through random cluster sampling from 32 community health centers in three districts of Nanjing city, Jiangsu province. …”
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Time to recovery of neonatal sepsis and its predictors in public hospitals of North Shoa Zone, Central Ethiopia by Befekadu Tesfaye Oyato, Teshome Ketema Sime, Tirunesh Debele, Husen Zakir Abasimel, Fikadu Tolesa Alemu, Samuel Boja Asfaw, Wuletaw Tadesse Mekonnin, Hana Israel Gesisa, Elleni Tesfaye Kebede

“…Methods A retrospective cohort study was conducted among 508 septic neonates admitted to selected public hospitals in the North Shoa Zone between March 1, 2021, and March 1, 2023. A systematic random sampling method was used to select eligible medical records. …”
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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…The proposed approach’s robustness is demonstrated by subjecting it to extensive variations in system parameters and random load fluctuations. In summary, this paper presents an innovative TID + IDN controller optimized using a novel Coatis Optimization Algorithm within a three-area hybrid system operating in a deregulated context. …”
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Meta-analysis and Trial Sequential Analysis for Therapeutic Eefficacy and Safety of Acupotomy and Acupuncture for Cervical Spondylotic Radiculopathy by Renpan ZHANG, Zhongbiao XIU, Jing LIU, Bin CHEN, Hong LIU, Hongjia ZHAO

“…After selected, the included data were analyzed by Review Manager 5.3 software for meta-analysis and TSA V 0.9 software for trial sequential analysis(TSA).If <italic>P</italic>≤0.1 of 2 test or <italic>I</italic>²&gt;50%indicated statistically significant heterogeneity, a random-effect model would be used. Otherwise, we would calculate using a fixed effects model. …”
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The serum hepcidin and the hepcidin/ferritin ratio in NAFLD: a systematic review and meta-analysis by Jingmin Song, Heqing Wang, Xiaolian Gao, Fen Yang, Xinhong Zhu, Guiyuan Qiao, Ting Gan, Junxiu Tao

“…Observational studies comparing serum hepcidin levels and the hepcidin/ferritin ratio between individuals with NAFLD and control groups were included. A random-effects model was employed to calculate effect estimates, and outcomes were reported as standardized mean differences (SMD) with 95% confidence intervals (95% CI). …”
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Response surface methodology for the design of malachite green dye removal by γ-Fe2O3 dispersed on reduced graphene oxide sheets by Liu Zhu, Anam Sana, Muhammad Tariq Qamar, Ali Bahadur, Guocong Liu, Mohammad Aslam, Ammar Zidan, İsmail Seçkin Çardaklı, Shahid Iqbal, Sajid Mahmood, Muhammad Saad, Khalid M. Alotaibi

“…According to a thermodynamic analysis, the MG adsorption process on the rGO/γ-Fe2O3 surface is exothermic, spontaneous, and less random. Moreover, the thermal stability, desorption, regeneration and reusability of rGO/γ-Fe2O3 nanocomposite were also explored. …”
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A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase by Jackson J. Alcázar, Ignacio Sánchez, Cristian Merino, Bruno Monasterio, Gaspar Sajuria, Diego Miranda, Felipe Díaz, Paola R. Campodónico

“…<b>Methods:</b> Using a dataset which was 14 times larger than those employed in prior studies (1350 compounds with 1269 molecular descriptors), we trained a random forest regressor, chosen due to its superior predictive performance and resistance to overfitting. …”
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Development and external validation of a dynamic nomogram for predicting the risk of functional outcome after 90 days in patients with acute intracerebral hemorrhage by Shaojie Li, Hongjian Li, Jiani Chen, Baofang Wu, Jiayin Wang, Chaocan Hong, Changhu Yan, Weizhi Qiu, Yasong Li, Hongzhi Gao

“…This study aimed to develop a practical nomogram for risk prediction of poor prognosis after 90 days in patients with intracerebral hemorrhage.MethodsA retrospective study was conducted on 638 patients with intracerebral hemorrhage in the Second Hospital of Fujian Medical University, China, who were divided into a training set (n = 446) and a test set (n = 192) by random splitting. Then the data on demographics, clinical symptoms, imaging characteristics, and laboratory findings were collected. …”
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Mental health literacy and associated factors among traditional healers of Jimma town, southwest, Ethiopia 2020: a community based, cross-sectional study by Gudeta Mideksa, Elias Tesfaye, Yimenu Yitayih, Yohanes Sime, Kemal Aliye, Abraham Tamirat Gizaw

“…To select the participants from Jimma town, a stratified random sampling method was utilized from August 1 to September 30, 2020. …”
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The associations between single nucleotide polymorphisms and diabetic retinopathy risk: an umbrella review by Shaofen Huang, Yonghui Feng, Ying Sun, Jiazi Liu, Pu Wang, Jingrong Yu, Xin Su, Shasha Han, Shiqi Huang, Haokun Huang, Shiyun Chen, Ying Xu, Fangfang Zeng

“…We evaluated the methodological quality using the Measurement Tool to Assess Systematic Reviews (AMSTAR) 2.0, estimated the summary effect size by using the random effects model and calculated the 95% prediction intervals (PIs). …”
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Clinical Efficacy of Extracorporeal Shock Wave in the Treatment of Knee Osteoarthritis： A Meta-analysis by GU Jinyu, LI Kaiming, ZHANG Qing, LI Linghui, BAI Zixing, WANG Shangquan

“…ObjectiveTo evaluate the efficacy and safety of extracorporeal shock wave therapy for knee osteoarthritis (KOA) by Meta analysis.MethodsThe CNKI database, Wanfang Data, China Science and Technology Journal Database (VIP), CBMdisc, PubMed and Cochrane Library were searched from inception to October 2020 for randomized controlled trials (RCTs) of extracorporeal shock wave therapy for KOA. …”
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Factors Associated with HIV Testing among Male Students Who Have Engaged in Sexual Behaviour in Zhejiang Province, China by Zhongrong Yang, Hui Wang, Qiaoqin Ma, Weiyong Chen, Xiang Zhao, Tingting Jiang, Wanjun Chen, Xin Zhou, Lin Chen

“…Methods. Stratified cluster random sampling analysis was performed, which included general characteristics, sexual attitudes, sexual behaviours, information on HIV testing, and self-risk assessment for HIV infection. …”
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Effect of triple-frequency sono-germination and soaking treatments on techno-functional characteristics of barley by Tabussam Tufail, Huma Bader Ul Ain, Jawad Ashraf, Muhammad Safiullah Virk, Zahoor Ahmed, Mokhtar Dabbour, Tawfiq Alsulami, Suleiman Althawab, Bin Xu

“…The structural configuration of two barley types, ZQ2000 and XMLY22, was determined using Fourier transform infrared (FTIR) spectroscopy, which indicated an increase in α-helix and β-sheet conformation and a decrease in random coil conformation in samples treated with TFUT + GE. …”
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Unburned habitat essential for amphibian breeding persistence following wildfire by Larissa L. Bailey, Richard Henderson, Wendy A. Estes-Zumpf, Charles C. Rhoades, Ellie Miller, Dominique Lujan, Erin Muths

“…We capitalized on existing pre-fire surveys for anuran species and resurveyed a random subset of wetlands across a gradient of soil burn severity to investigate the short-term effects of wildfire on a relict population of wood frogs in the southern Rocky Mountains. …”
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Sustainable development model toward environmentally friendly hospital by F, Aini, A. Irianto, S. Amar

“…The selection of the sample in this study was based on the proportionate cluster random sampling approach, which was analyzed using the structural equation modeling–partial least square method.FINDINGS: There are ten findings for analysis at the West Pasaman regional public hospital. …”
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Prevalence of intestinal parasites and Helicobacter pylori co-infection in people with gastrointestinal symptoms in Africa: a systematic review and meta-analysis by Yenesew Mihret Wondmagegn, Getu Girmay, Gashaw Azanaw Amare, Muluneh Assefa, Mebratu Tamir, Zufan Yiheyis Abriham, Abebaw Setegn

“…The data was extracted using Microsoft Excel 2010 and analyzed using STATA version 11.0 Software. A random-effects model was used to calculate the pooled effect size of outcome variables across studies, with a 95% confidence interval. …”
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Characterization of NOD-like receptor-based molecular heterogeneity in glioma and its association with immune micro-environment and metabolism reprogramming by Chunlin Lu, Huihao Ma, Jie Wang, Fei Sun, Fei Sun, Mingyang Fei, Ying Li, Jing Liu, Bin Dong

“…Single-cell sequencing analysis showed that the NLR gene was mainly active in myeloid cells within GBM. The random forest algorithm identified the crucial role of TRIP6 gene in NLR pathway. …”
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Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete by Xuyong Chen, Xuan Liu, Shukai Cheng, Xiaoya Bian, Xixuan Bai, Xin Zheng, Xiong Xu, Zhifeng Xu

“…On this basis, six machine learning models were employed to predict RAC carbonation depth: Artificial Neural Network, Decision Tree, Support Vector Regression, Random Forest, Extreme Gradient Boosting, and Light Gradient Boosting. …”
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Safety and efficacy of intravenous thrombolysis: a systematic review and meta-analysis of 93,057 minor stroke patients by Mostafa Hossam El Din Moawad, Talal Salem, Anas Alaaeldin, Youssef Elaraby, Peter D. Awad, Amr Ahmed Khalifa, Ahmed El Naggar, Khaled Ashraf Mohamed, Mohamed Elhalal, Mostafa Badr, Ramy Abdelnaby

“…We conducted this meta-analysis using the random effect model to account for the heterogeneity among the studies. …”
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