Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…We evaluated four popular classifiers (K-Nearest Neighbor (K-NN), Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and FeedForward Neural Network (FFNN)) on benchmark datasets CICIDS2017 and Edge-IIoTset, conducting both binary and multi-class classifications. …”
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Effect of Yijinjing Training on Balance Function and Plantar Pressure of Stroke Patients by LUO Kailiang, JIN Xueming, MA Shujie, XUE Xin, LIU Xinhao, MA Xinran, HU Jun

“…ObjectiveTo observe the effect of Yijinjing training on static balance function and plantar pressure of stroke patient under the condition of eyes opened or closed.MethodsA total of 48 stroke patients who were treated in the Second Rehabilitation Hospital of Shanghai from January to August 2021, which were randomly divided into the control group and the observation group according to the random number table method, with 24 cases in each groups. …”
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Estimation of daily groundwater evapotranspiration from diurnal variations of lysimeter experiments data in an arid zone by Peng Yao, Fengzhi Shi, Yuehui Wang, Ningze Dai, Chengyi Zhao

“…Principal component analysis and a random forest model were used to assess meteorological influences. …”
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Validation of In-field Calibration for Low-Cost Sensors Measuring Ambient Particulate Matter in Kolkata, India by Siddharth Nobell, Arnab Majumdar, Shovon Mukherjee, Sukumar Chakraborty, Sanjoy Chatterjee, Soumitra Bose, Anindita Dutta, Sandhya Sethuraman, Daniel M. Westervelt, Shairik Sengupta, Rakhi Basu, V. Faye McNeill

“…Data from the co-locations were used to calibrate the LCS network using random forest regression and multiple linear regression approaches. …”
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Nanoparticle-mediated gene delivery techniques in plant systems by Kuber Shivashakarappa, Sureshbabu Marriboina, Korsi Dumenyo, Ali Taheri, Zeinab Yadegari

“…Apart from species constraints, these methods have unique advantages and limitations, including random gene integration, low gene transfer efficiency, tissue damage, united gene alterations, time-consuming and labor-intensive plant regeneration protocols. …”
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Laparoscopic Versus Robotic Ventral Hernia Repair With Intraperitoneal Mesh: A Systematic Review and Meta-Analysis Comparing the Perioperative Outcomes Randomised Controlled Trials by Anurag Singh, Wei H. Toh, Nada Elzahed, Goldie Khera, Mirza K. Baig, Andrei Mihailescu, Muhammad S. Sajid

“…ObjectiveThe objective of this meta-analysis is to compare the perioperative surgical outcomes and cost-effectiveness of robotic ventral hernia repair (RVHR) versus laparoscopic ventral hernia repair (LVHR) with intraperitoneal mesh.MethodsRandomised control trials (RCTs) reporting perioperative outcomes and costs in patients undergoing RVHR versus LVHR were selected from medical electronic databases and meta-analysis was conducted in accordance with the guidelines of the Cochrane Collaboration using statistical software RevMan version 5.ResultsFour RCTs on 337 patients reporting perioperative outcomes and cost comparison were included. In the random effect model analysis, the duration of operation was shorter, and cost was lower in the LVHR group but with significant statistical heterogeneity [standardized mean difference (SMD) −48.07, 95%, CI (−78.06, −18.07), Z = 3.14, P = 0.002], [SMD 0.82, 95%, CI (−1.48, −0.16), Z = 2.45, P = 0.01]. …”
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Wehrl entropy and entanglement complexity of quantum spin systems by Chen Xu, Yiqi Yu, Peng Zhang

“…. $2^{-N/2}\sum_{s_1,s_2,{\ldots},s_N = \uparrow,\downarrow}$ $|s_1,s_2,{\ldots},s_N\rangle \textrm{e}^{-\textrm{i}\phi_{s_1,s_2,{\ldots},s_N}}$ , with $\phi_{s_1,s_2,{\ldots},s_N}$ being random angles) are substantially larger than that of the very regular entangled states (e.g. the Greenberger–Horne–Zeilinger state). …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…To address this, our study evaluated the performance of three ML algorithms (random forest regression, RFR; XGBoost regression, XGBR; categorical boosting regression, CatBoost) combined with feature selection techniques and a deep convolutional neural network (DCNN) using multispectral imagery obtained from UAV for the AGB estimation of rubber plantations. …”
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A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes by Sijun Li, Qingdong Zhu, Aichun Huang, Yanqun Lan, Xiaoying Wei, Huawei He, Xiayan Meng, Weiwen Li, Yanrong Lin, Shixiong Yang

“…Comparing the performance of the random forest (RF), support vector machine (SVM), generalized linear model (GLM), and eXtreme Gradient Boosting (XGB), we constructed the ptimal machine learning model. …”
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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…With the provision of additional information such as demographic characteristics or laboratory data, support vector machine (SVM), random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XGBoost) were used to build models of AKI prediction and compared to the predictive performance of the classic model using logistic regression (LR). …”
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Factors Associated with Anemia among Children Aged 6–23 Months Attending Growth Monitoring at Tsitsika Health Center, Wag-Himra Zone, Northeast Ethiopia by Haile Woldie, Yigzaw Kebede, Amare Tariku

“…Institution based cross-sectional study was carried out from March to May, 2014, at Tsitsika Health Center in Wag-Himra Zone, Northeast Ethiopia. Systematic random sampling technique was employed. Automated hemoglobin machine was used to determine the hemoglobin level. …”
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Health extension workers job satisfaction and associated factors in Ethiopia: a systematic review and meta-analysis by Amlaku Nigusie Yirsaw, Gebeyehu Lakew, Eyob Getachew, Mulugeta Desalegn Kasaye, Ermias Bekele Enyew, Demis Getachew, Abiyu Abadi Tareke

“…The overall effect across all studies was calculated using a random-effect model. Potential publication bias and heterogeneity in the results between studies were assessed using Egger's test, forest plot, and I2 statistic, respectively. …”
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Investigating the Effect of Fasting on the Mental Health of Nursing Students by Mina Shirvani, Mostafa Roshanzadeh, Maryam Rabiey Faradonbeh, Razieh Mirzaeian

“…Ninety nursing students of Borujen Faculty of Medical Sciences were selected by available methods and assigned to two intervention and control groups by a simple random method. The intervention in this study included at least 23 days of fasting during Ramadan. …”
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Effect of acupuncture on primary hypothyroidism and irregular menstruation in infertile women: a randomised controlled study by Eman Sedky Abdullah, Abeer Mohamed ElDeeb, Eman Ahmed Sultan, Hassan Omar Ghareib, Salwa Mostafa EL-Badry

“…They were divided at random into two equal groups. For four months, a control group was given thyroxine tablets once daily with a low-calorie diet (1200 kcal/day). …”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…Results revealed that fertilization, particularly with mineral phosphorus, disrupts soil stability, substantially increases short-term Cd mobility in vulnerable regions. Random Forest analysis identified elevated dissolved organic matter and pH changes as key drivers of Cd remobilization. …”
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Evaluation of the Management of Patients with Detectable Viral Load after the Implementation of Routine Viral Load Monitoring in an Urban HIV Clinic in Uganda by Nsumba Steven Mark, Musomba Rachel, Arvind Kaimal, Mubiru Frank, Tibakabikoba Harriet, Lwanga Isaac, Mohammed Lamorde, Castelnuovo Barbara

“…We performed data extraction on a random sample of 100 patients with VL test >1,000 copies/ml between January and August 2015. …”
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Investigating the Association Between Family Socioeconomic Profile and Diabetes Control in Children: A Cross‐Sectional Study From Sudan by Hiba Ali Elzaki Hajomer, Osama Ahmed Elkhidir, Rooa Mohammed, Suodad Elhassan, Aya Abdelrahim, Yousra Ibrahim Abdallah Mohammed

“…We included 138 diabetic children (T1D and T2D) aged 2–18 years using systematic random sampling. Descriptive statistics, economic indicator and inferential statistics were applied using SPSS version 20. …”
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Best organic farming expansion scenarios for pest control: a modeling approach by Delattre, Thomas, Memah, Mohamed-Mahmoud, Franck, Pierre, Valsesia, Pierre, Lavigne, Claire

“…Scenarios were 1) conversion of Isolated conventional fields first (IP), 2) conversion of conventional fields within Groups of conventional fields first (GP), and 3) Random conversion of conventional field (RD). We coupled a neutral spatially explicit landscape model to a predator-prey model to simulate pest dynamics in interaction with natural enemy predators. …”
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Comparative effective dose of ciprofol and propofol in suppressing cardiovascular responses to tracheal intubation by Min Liao, Xiao-Ru Wu, Jia-Ning Hu, Xing-Zhou Lin, Tang‑yuan‑meng Zhao, Hu Sun

“…Fifty-three adult patients scheduled for tracheal intubation under general anesthesia were enrolled and randomly assigned to receive either ciprofol (Group C) or propofol (Group P), according to a random number table. …”
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Antimicrobial resistance, virulence gene profiling, and genetic diversity of multidrug-resistant Pseudomonas aeruginosa isolates in Mazandaran, Iran by Ghazaleh Elahi, Hamid Reza Goli, Morvarid Shafiei, Vajihe Sadat Nikbin, Mehrdad Gholami

“…The genetic diversity among the strains was evaluated using the random amplification of polymorphic DNA (RAPD) technique. …”
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