Three-dimensional linkage analysis with digital PCR for genome integrity and identity of recombinant adeno-associated virus by Tam Duong, Michele Firmo, Chien-Ting Li, Bingnan Gu, Peng Wang

“…Importantly, due to the random partitioning property of a digital PCR system, the 3D linkage analysis of rAAV viral genome requires a proper mathematical model to identify the true linked DNA molecules (full-length/intact DNA) from the population of false/unlinked DNA molecules (fragmented/partial DNA). …”
Get full text

Acupuncture combined with multiple therapies for angina pectoris: a systematic review and network meta-analysis by Xiangyu Kong, You Gu, Zhao Qiu

“…The Cochrane Risk of Bias tool 2.0 (RoB 2.0) was used for risk of bias assessment. A random-effects Bayesian NMA was performed using R (version 4.3.1) and Stata (version 16.0).Results46 RCTs were enrolled, with 3976 patients with angina pectoris. …”
Get full text

STABILITY ANALYSIS OF A SHIPBORNE LARGE APERTURE TELESCOPE TRACKING FRAME by LI YingJie, YANG LiBao, CHEN Tao, LI HongWen

“…Then， the natural frequency of the structure was solved， and a simple response spectrum analysis calculation was proposed instead of the tedious random response analysis to analyze the stability of the equipment under dynamic wind load and wave excitation. …”
Get full text

Responses of Typical Riparian Vegetation to Annual Variation of River Flow in a Semi-Arid Climate Region: Case Study of China’s Xiliao River by Xiangzhao Yan, Wei Yang, Zaohong Pu, Qilong Zhang, Yutong Chen, Jiaqi Chen, Weiqi Xiang, Hongyu Chen, Yuyang Cheng, Yanwei Zhao

“…To identify the main influencing factors of riparian vegetation changes, we extracted the river flow indicators, climate indicators, and riparian vegetation indicators of a Xiliao River typical section from 1985 to 2020 in spring and summer, and established a random forest model to screen the key driving factors of riparian vegetation. …”
Get full text

Feeding Practices among Human Immunodeficiency Virus-Exposed Infants in Ethiopia: Systematic Review and Meta-Analysis by Habtamu Temesgen, Ayenew Negesse, Temesgen Getaneh, Yibelu Bazezew, Dessalegn Haile, Wubetu Woyraw, Melaku Desta, Alehegn Aderaw Alamneh

“…Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument adapted for cross-sectional study design was used for quality assessment. The random effects model was used to estimate the pooled prevalence of infant feeding practices. …”
Get full text

Development and validation of a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection after radical colorectal cancer surgery by He Huang, Yanli Wang, Chengfei Liu, Jingxiang Han, Tian Yao, Linna Gao, Huiyang Gao, Yuhao Chen, Yinglei Cao, Fubin Qiu, Kai Jia

“…Predictive models were constructed using LR, random forest, support vector machine, K-nearest neighbours, naive Bayes and XGBoost. …”
Get full text

Using Recombinase-Aid Amplification Combined with <i>Pyrococcus furiosus</i> Argonaute for Rapid Sex Identification in Flamingo (<i>Phoenicopteridae</i>) by Shenluan Tan, Fanwen Zeng, Wanhuan Zhong, Tanzipeng Chen, Xuanjiao Chen, Li Li, Hengxi Wei, Shouquan Zhang

“…The results showed that optimal RAA-<i>Pf</i>Ago conditions could detect 0.6 ng of genomic DNA and effectively differentiate between males and females. Random sample evaluations revealed that the system had a 100% coincidence rate compared with conventional PCR. …”
Get full text

The impact of dietary patterns on gut microbiota for the primary and secondary prevention of cardiovascular disease: a systematic review by Junwen Yu, Yue Wu, Zheng Zhu, Hongzhou Lu

“…The risk of bias for included studies was assessed using the revised Cochrane risk of bias tool (RoB2) for randomized trials and the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I) for non-randomized studies. …”
Get full text

Effect of Graphene Warm Abduction Orthosis on Hip Joint Development in Children with Spastic Cerebral Palsy by CUI Meiyu, LIU Jianjun, ZHANG Yan, ZENG Fanyong

“…ObjectiveTo observe the effect of graphene warm abduction orthosis on hip joint development in children with spastic cerebral palsy.MethodsA total of 28 children (56 hips) aged 2-10 years with spastic cerebral palsy were randomly divided into two groups by random number table method. …”
Get full text

Neuroimaging predictors of malignant brain oedema after thrombectomy in ischemic stroke: a systematic review and meta-analysis by Linrui Huang, Xindi Song, Jingjing Li, Yanan Wang, Xing Hua, Meng Liu, Ming Liu, Simiao Wu

“…We estimated effect size for the association between predictors and MBE by odds ratios (ORs) or standardized mean differences (SMDs), and pooled results using random-effects modelling.Results We included 19 studies (n = 6007) with 17 neuroimaging factors and 5 models. …”
Get full text

FoxA1 knockdown promotes BMSC osteogenesis in part by activating the ERK1/2 signaling pathway and preventing ovariectomy-induced bone loss by Lijun Li, Renjin Lin, Yang Xu, Lingdi Li, Zhijun Pan, Jian Huang

“…Transplanting genetically engineered MSCs has been acknowledged as a highly promising therapy for osteoporosis. We utilized a random walk-based technique to discern genes associated with ossification. …”
Get full text

Construction and Comparison of Machine Learning-Based Risk Prediction Models for Major Adverse Cardiovascular Events in Perimenopausal Women by Chen A, Chang X, Bian X, Zhang F, Ma S, Chen X

“…In the training set, Random Forest (RF) algorithm, backpropagation neural network (BPNN) and Logistic Regression (LR) were used to construct a MACE risk prediction model for perimenopausal women, and the test set was used to verify the model. …”
Get full text

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…Both CAM and Grad-CAM also perform significantly better than random attribution, supporting the robustness of these XAI methods. …”
Get full text

Nursing professionalism and associated factors in Ethiopia: a systematic review and meta-analysis by Moges Tadesse Abebe, Agerie Mengistie Zeleke, Yeshiwas Ayale Ferede, Yosef Aragaw Gonete, Worku Chekol Tassew

“…The Galbraith plot, I2 statistic and meta-regression were used to determine heterogeneity. We used a random effects model in the presence of heterogeneity. …”
Get full text

The Escalating Magnitude of COVID-19 Infections among the Northeastern Ethiopia Region: A Community-Based Cross-Sectional Study by Zeleke Geto, Saba Gebremichael, Melaku Ashagrie Belete, Alemu Gedefie, Genet Molla, Melkam Tesfaye, Wondmagegn Demsiss, Daniel Gebretsadik

“…A community-based cross-sectional study was conducted from 01 July to 31 August 2020 in the northeastern Ethiopia region. A simple random sampling technique was used to select study participants from the community survey, contact traces from confirmed cases, and infection suspects. …”
Get full text

MINIMIZATION OF RISK OF THE ERRONEOUS DECISION IN THE ASSESSMENT OF THE IMPORTANCE OF STATISTICAL RELATIONS OF TECHNICAL AND ECONOMIC INDICATORS OF THE OBJECTS OF ELECTRIC POWER SY... by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…The novelty consists in the application of fiducial approach; the calculation of critical values are fulfilled with the aid of computer technologies of simulation of possible realizations of the correlation coefficients for the two assumptions, viz. technical and economic indicators of the independent and dependent; simulation is fulfilled with the method of solving the “inverse problem”, which enables the possible implementation of the correlation coefficients for the really dependent and independent samples of random variables at a given sample size; the developed algorithms and programs for calculation made it possible to obtain the critical values of correlation coefficients for independent and dependent samples; in conditions of the sameness of the consequences of erroneous decisions it is proposed to make a decision not based on critical value but based on the boundary values of the correlation coefficients that correspond to the minimum total risk of erroneous decisions; the exemplification of the recommendations application was made on example of technical and economic parameters of boilers of power units of 300 MWt. …”
Get full text

Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining by Yewuhalashet Fissha, Prashanth Ragam, Hajime Ikeda, N. Kushal Kumar, Tsuyoshi Adachi, P.S. Paul, Youhei Kawamura

“…This work compares five machine learning models (XGBoost, Catboost, Bagging, Gradient Boosting, and Random Forest Regression) to choose the most efficient performance model. …”
Get full text

Adsorption of Chromium(VI) onto Freshwater Snail Shell-Derived Biosorbent from Aqueous Solutions: Equilibrium, Kinetics, and Thermodynamics by Xuan Hoa Vu, Lan Huong Nguyen, Huu Tap Van, Dinh Vinh Nguyen, Thu Huong Nguyen, Quang Trung Nguyen, L. T. Ha

“…The Cr(VI) adsorption process was irreversible, spontaneous (−∆G°), exothermic (∆H° is negative), and less random (∆S° is negative). In conclusion, freshwater snail shells have the potential as a renewable adsorbent to remove toxic metals from wastewater.…”
Get full text

Effect of Suspension Massage Exercise Technique on Cervicogenic Insomnia and Vertebrobasilar Artery Hemodynamics by ZHANG Tianyu, LIU Li, DING Yi, SUN Jie, WANG Shurui, LI Zewen, WANG Jinghua, LI Li

“…ObjectiveTo investigate the clinical efficacy of suspension massage exercise technique for cervicogenic insomnia and its effect on vertebrobasilar artery hemodynamics.MethodsA total of fifty-six patients with cervicogenic insomnia admitted to the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine from January 2021 to January 2022 were selected and randomly divided into 28 cases each in observation group and control group using the random number table method. …”
Get full text

An Upper Bound for Locating Strings with High Probability Within Consecutive Bits of Pi by Víctor Manuel Silva-García, Manuel Alejandro Cardona-López, Rolando Flores-Carapia

“…This work has potential applications in Cryptography that use the number <inline-formula><math display="inline"><semantics><mi>π</mi></semantics></math></inline-formula> for random sequence generation, offering insights into the number of bits of <inline-formula><math display="inline"><semantics><mi>π</mi></semantics></math></inline-formula> required to ensure good randomness properties.…”
Get full text