The Effect of Knowledge, Education, Income, and Marriage Age on Iron Deficiency Anemia in Pregnant Women in Taiz City-Yemen by Lamia A. S. Ali, Hermanto Tri Joewono, Widati Fatmaningrum, Riyadh A. S. Thabit, Hebah H. M. Almothana, Fardous G. Alsoufi, Aya Ali Abdullah, Tasnim Mohammed Al-Qadhi, Suha Ali Al Hajj, Samar A. A. Ahmed, Sarah A. D. Alselwi, Habib Thabet, Haitham T. S. Mohammed, Linda Andriani

“…From 3rd November 2023, until 30th January 2024. A simple random selection procedure is used to choose six of Taiz City's 10 primary healthcare facilities.101 pregnant women between the ages of 18 and 42 took part in the study. …”
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An oral microbiota-based deep neural network model for risk stratification and prognosis prediction in gastric cancer by Xue-Feng Gao, Can-Gui Zhang, Kun Huang, Xiao-Lin Zhao, Ying-Qiao Liu, Zi-Kai Wang, Rong-Rong Ren, Geng-Hui Mai, Ke-Ren Yang, Ye Chen

“…The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.Results GC patients with <3 years of survival showed a higher abundance of Aggregatibacter and diminished abundances of Filifactor and Moryella than those who survived ≥3 years. …”
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Short-term Effects of Sling Exercise Combined with Massage on the Treatment of Neck Type Cervical Spondylopathy by LI Jianfei, ZHAO Hong, CHEN Qian, LI Li, ZHANG Deqi

“…Objective: To observe the effects of sling exercise combined with massage in patients with neck type cervical spondylopathy (NTCS) by using surface electromyography (sEMG), and to explore the short-term effects on neck pain, neck disabilities and muscle fatigue.MethodsA total of ninety-three patients with neck type cervical spondylopathy who met the inclusion criteria were divided into three groups according to the random number table: massage group, sling exercise group and sling exercise combined with massage group, with 31 cases in each group. …”
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Safety profile of sacituzumab govitecan in patients with breast cancer: A systematic review and meta-analysis by Maria Inez Dacoregio, Isabella Michelon, Caio Ernesto do Rego Castro, Francisco Cezar Aquino de Moraes, Guilherme Rossato de Almeida, Lis Victória Ravani, Maysa Vilbert, Ricardo Lima Barros Costa

“…All analyses were performed in R software (v.4.2.2) using random effects models. Heterogeneity was assessed using I2 test. …”
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Peripheral versus central cannulation of VA-ECMO for primary graft dysfunction after heart transplantation: A systematic review and meta-analysis by Eduard Ródenas-Alesina, MD, Aleix Olivella, MD, Ani Orchanian-Cheff, MiST, Farid Foroutan, PhD, Yasbanoo Moayedi, MD, MSc, Vivek Rao, MD, PhD, Filio Billia, MD, PhD, Heather J. Ross, MD, MHSc, Ana Carolina Alba, MD, PhD, Natasha Aleksova, MD, MSc

“…Results: Overall, we included 16 studies comprising 874 patients from 33 centers. Using a random-effects model, peripheral cannulation was associated with a nonsignificant reduction in short-term mortality (odds ratios [OR] = 0.73, 95% confidence interval [CI] = 0.41-1.28, I2 = 55.8%) and a significant reduction in 1-year mortality (OR = 0.60, 95%CI = 0.37-0.97, I2 = 35.9%). …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Based on these rankings, predictive models were constructed using Logistic Regression (LR), Random Forest (RF), eXtreme Gradient Boosting (xGBoost), Naive Bayes (NB), Support Vector Machine (SVM), and Decision Tree (DT) algorithms. …”
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Individual and Combined Effects of Diabetes and Glaucoma on Total Macular Thickness and Ganglion Cell Complex Thickness: A Cross-sectional Analysis by Dhruven Shah, Rita Dhamankar, Vijay Shetty, Suhas S Haldipurkar, Prakash Chipade, Shabnam Tanwar, Prachi Sankhe, Devendra Venkatramani, Paresh Mhatre, Maninder Singh Setia

“…We compared retinal nerve fiber layer (RNFL) thickness, ganglion cell complex (GCC) thickness, foveal loss of volume (FLV), and global loss of volume (GLV) among the groups. We used random effects multivariate analysis to adjust for potential confounders. …”
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Soil salinization prediction through feature selection and machine learning at the irrigation district scale by Junbo Xie, Junbo Xie, Cong Shi, Yang Liu, Yang Liu, Qi Wang, Qi Wang, Zhibo Zhong, Zhibo Zhong, Zhibo Zhong, Shuai He, Shuai He, Shuai He, Xingpeng Wang

“…Moreover, the inversion accuracy of soil salinization monitoring models built using different feature combinations was compared across five machine learning algorithms: Support Vector Machine (SVM), XGBoost, Decision Tree (DT), Random Forest (RF), and AdaBoost.ResultsThe results revealed that: (1) The AdaBoost and DT algorithms demonstrated high efficacy and precision in the prediction of soil salinity, with AdaBoost outperforming other algorithms in the validation set (R2 value of 0.892, MAE of 1.558, RMSE of 2.043), and DT showing the best performance in the training set (R2 value of 0.917, MAE of 0.838, RMSE of 1.182). (2) Feature combination 3, consisting of Salinity Index 5, Salinity Index 1, and Salinity Index 8, not only effectively extracted soil salinity information but also significantly improved the accuracy and efficiency of model estimations, effectively reflecting the actual situation of soil salinization in the irrigation area.DiscussionThis research provides robust methodological support for using remote sensing technology for soil salinity monitoring and management.…”
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An autonomous navigation method for orchard mobile robots based on octree 3D point cloud optimization by Hailong Li, Hailong Li, Hailong Li, Kai Huang, Kai Huang, Yuanhao Sun, Yuanhao Sun, Xiaohui Lei, Xiaohui Lei, Quanchun Yuan, Quanchun Yuan, Jinqi Zhang, Xiaolan Lv, Xiaolan Lv

“…According to the sparsity and density of the point cloud, the 3D orchard map is adaptively divided and the key information of the orchard is retained. 2) In terms of path planning, by using octree nodes as the unit nodes for RRT* random tree expansion, an improved RRT* algorithm based on octree is proposed. …”
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Validation of biomarkers and clinical scores for the detection of uterine leiomyosarcoma: a case-control study with an update of pLMS by Marcus Vollmer, Günter Köhler, Julia Caroline Radosa, Marek Zygmunt, Julia Zimmermann, Martina Köller, Christine Seitz, Helena Bralo, Marc Philipp Radosa, Askin Cangül Kaya, Johann Krichbaum, Erich-Franz Solomayer, Lars Kaderali, Zaher Alwafai

“…Missing values were imputed by random forest imputation to create the updated scoring system ‘pLMS2’ using penalized logistic regression based on the pooled data sets of 384 uLMS and 1485 LM. …”
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Dietary fiber source and stage of gestation impact water balance, fecal physicochemical properties, serum electrolytes, and markers of gut motility in sows by Thomas A. Crome, Kyle D. Vahlenkamp, Rachel M. Self, Mark A. Giesemann, Amy L. Petry

“…Thirty-six sows, with an initial body weight of 186 ± 4.6 kg, balanced by parity, were assigned randomly to a 2×2 factorial arrangement of treatments from day 28 to 109 of gestation. …”
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Development of an Integrated Model of Planning and Management in Free Zones with an Emphasis on Environmental Pressures by Mohammad Javad Amiri, Vahid Moghaddamzadeh, Gholamreza Nabi Bidhendi

“…Analysis was conducted across both public and private organizations within the zone, including the Free Zone Organization, Natural Resources and Environment Department, Housing Foundation, and Water and Sewage Department, among others. A random sampling technique was employed to select 166 individuals from the cities of Jolfa, Nordoz, Qolibeyglo, and Khoda Afarin. …”
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Vertical distribution and variability of soil organic carbon and CaCO3 in deep Colluvisols modeled by hyperspectral imaging by Jessica Reyes-Rojas, Julien Guigue, Daniel Žížala, Vít Penížek, Tomáš Hrdlička, Petra Vokurková, Aleš Vaněk, Tereza Zádorová

“…A variety of nonlinear machine learning techniques such as cubist regression tree (Cubist), random forest (RF), support vector machine regression (SVMR) and one linear technique partial least square regression (PLSR) were compared to determine the most suitable model for the prediction of SOC and CaCO3 content in each profile. …”
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The incidence of outpatient care within 24 months from SARS-CoV-2 infection in the general population: a multicenter population-based cohort study by Federico Banchelli, Carlo Gagliotti, Angela De Paoli, Rossella Buttazzi, Elena Narne, Enrico Ricchizzi, Silvia Pierobon, Ugo Fedeli, Gisella Pitter, Elisa Fabbri, Michele Tonon, Elisa Gentilotti, Maurizia Rolli, Evelina Tacconelli, Maria Luisa Moro, Francesca Russo, Elena Berti

“…Analyses were carried out separately in the two regions and results were pooled using random effects meta-analysis. Results There were 27,140 subjects in E-R and 22,876 in Veneto who were included in the analysis. …”
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Rehabilitation Efficacy of Core Stability Training Combined with All-Round Intensive Exercise Training on Children with Spastic Cerebral Palsy by WANG Jing, YUE Ling, WANG Zexi, CHEN Zhihong, SUN Suzhen, MA Guilin, BAI Bing, CHEN Cuiying

“…ObjectiveTo investigate the rehabilitation effect of core stability training combined with all-round intensive exercise training on children with spastic cerebral palsy.MethodsA total of 144 children with spastic cerebral palsy treated in Children's Hospital of Hebei Province from September 2018 to August 2020 were divided into core stability group, intensive exercise group and combined group according to the experimental principle of 1∶1∶1 by stratified random method, with 48 cases in each group, and were provided with core stability training, all-round intensive exercise training, and core stability training + all-round intensive exercise training, respectively. …”
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Latitudinal patterns of tree β-diversity and relevant ecological processes vary across spatial extents in forests of southeastern China by Maochou Liu, Wenxiang Wu, Ke Wang, Xinshuai Ren, Xueqin Zhang, Lei Wang, Jing Geng, Bo Yang

“…We also used a null model to simulate randomly assembled communities and quantify the deviation (β-deviation) between observed and expected β-diversity. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

“…The model employed a super learner algorithm that combine three base algorithms of elastic net, random forest and support vector machine. The model performance was evaluated through five independent unseen tests with nested 5-fold cross-validation. …”
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Effect of Soft Rehabilitation Robot Gloves on Upper Limb and Hand Function of Stroke Patients：A Meta-Analysis by YU Tingting, SHEN Yuwei, WAN Guomeng, LI Jianan

“…If <italic>P</italic>≥0.10 and <italic>I</italic>²≤50%, there was no heterogeneity or small heterogeneity among the studies, and a fixed effects model would be used, if <italic>P</italic>&lt;0.1 and <italic>I</italic>²&gt;50%, a random effects model would be used.ResultsA total of 13 RCTs with 653 patients were included. …”
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Meta Analysis on Rehabilitation Effect of Proprioception Training on Ankle Sprainof Athletes by Yuxiao CHEN, Jiaojiao LIU, Changsong Yi, Mengguang CHAI, Qing WANG, Lei JIANG

“…Objective:To explore the effects of proprioception training on the incidence of athletes' ankle sprains, dynamic neuromuscular control, postural stability and joint position perception.Methods:Data were searched from the databases of PubMed, Cochrane Library, EMbase, China National Knowledge Infrastructure(CNKI), Wanfang Database(Wangfang Data), Chinese Journal Full-text Database(VIP), China Biomedical Literature Database(CBMdisc).Athletes were included in the randomized controlled trials(RCTs)who were treated with proprioception training to improve the function of athlete's ankle joint.The retrieval time for each database was from the establishment of the database to December 31, 2019, and the references of related documents were traced.Two researchers independently searchered the literature, extracted data, and evaluated the quality of the literature.RevMan5.3 software was used to analyze the data.According to the systematic review manual provided by the Cochrane Collaboration Network, the continuous variables use mean difference(<italic>MD</italic>)and 95%confidence interval(<italic>CI</italic>)as indicators, and binary variables use risk ratio(RR)and 95%<italic>CI</italic> as indicators.The statistical heterogeneity was judged comprehensively by chi-square test(χ²test)and the Heterogeneity test(<italic>I</italic>²test).If <italic>P</italic>≥0.1 and <italic>I</italic>²≤50%, a fixed effects model would be used.In contrast, if <italic>P</italic>&lt;0.1 or <italic>I</italic>²&gt;50%, a random effects model would be used.Results:A total of 11 RCTs and 1 776 athletes were included.The results of Meta analysis showed that compared with the control group, the incidence of ankle sprains in the experimental group was significantly reduced after proprioceptive training[<italic>RR</italic>=0.61, 95%<italic>CI</italic>(0.41, 0.90), <italic>P</italic>=0.01]; compared with the control group, the posterolateral and posterior medical maximum extension distances of the experimental group increased significantly after proprioception training[<italic>MD</italic>=4.44, 95%<italic>CI</italic>(3.66, 5.23), <italic>P</italic>&lt;0.00 001;<italic>MD</italic>=4.21, 95%<italic>CI</italic>(3.18, 5.24), <italic>P</italic>&lt;0.00 001]and the difference was statistically significant;but there was no significant difference in the improvement effect of the anterior maximum extension distance, and the difference was not statistically significant(<italic>P</italic>&gt;0.05).The postural sway of the affected ankle joint in the experimental group was significantly lower than that in the control group;the athletes in the experimental group had better position perception ability in the ankle joint plantar flexion, dorsiflexion, middle and lateral directions than the control group.Conclusion:Proprioceptive training can effectively reduce the incidence of athletes' ankle sprains, improve dynamic neuromuscular control, improve postural stability, and enhance ankle joint position perception, which is worthy of clinical application.However, the absolute effect is not yet clear, so large samples and high-quality randomized controlled trials are still needed to further verify the efficacy of proprioception training, so as to provide more reliable evidence-based evidence for clinical rehabilitation.…”
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Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses by Sijun Li, Lanfeng Sun, Hongmi Huang, Xing Wei, Yuling Lu, Kai Qian, Yuan Wu

“…The optimal machine learning model was revealed to be the random forest (RF) model. G protein guanine nucleotide-binding protein alpha subunit q (GNAQ) was linked to sodium valproate resistance. …”
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