Showing 9,221 - 9,240 results of 17,304 for search '"random"', query time: 0.10s Refine Results
  1. 9221

    Effect of Individualized Rehabilitation on Primary Knee Osteoarthritis by Qian PEI, Xu JIANG, Qiang HUANG, Xianfeng GUO

    Published 2019-06-01
    “…Objective:To observe the clinical effect of individualized rehabilitation on patients with primary knee osteoarthritis.Methods:Eighty patients with primary knee osteoarthritis were selected from July 2017 to June 2018. According to the random number table method, the patients were divided into observation group and control group, with forty cases in each group. …”
    Get full text
    Article
  2. 9222

    A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

    Published 2025-01-01
    “…ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random Polarity Suppression (RPS) optimized for event-based sensors and tailored to leverage the unique attributes of event data. …”
    Get full text
    Article
  3. 9223

    A national study of clinical discussions about cannabis use among Veteran patients prescribed opioids by Tauheed Zaman, Dawn M. Bravata, Amy Byers, Erin Krebs, Samuel Leonard, Charles Austin, Friedhelm Sandbrink, Deborah S. Hasin, Salomeh Keyhani

    Published 2024-03-01
    “…Chart review was conducted on a random sample of 1,946 patients. Main measures The presence of a cannabis term in the chart suggesting documented cannabis use or cannabis-related discussions. …”
    Get full text
    Article
  4. 9224
  5. 9225

    Perbedaan Daya Hambat Bakteri dari Propolis Cair yang Ada di Pasaran Terhadap Escherichia Coli dan Staphylococcus Aureus Secara In Vitro by Bangun Azhari Yusuf, Aziz Djamal, Asterina

    Published 2015-09-01
    “…Propolis to be tested for this study is random liquid propolis in the market. Research was conducted in January 2013 in the laboratory of Microbiology Faculty of Medicine, University of Andalas. …”
    Get full text
    Article
  6. 9226

    Development of a prognostic gene signature and exploration of P4HA1 in the modulation of cuproptosis in colorectal cancer by RenJie Jiang, LinLin Ruan, Taohui Ding, Hongtao Wan, Yanglin Chen, XiaoJian Zhu, Zhijiang Huang, Dengke Yao, Ming Li, Bo Yi, Dan Liu

    Published 2024-12-01
    “…Key genes were further refined through LASSO regression and random forest approaches, culminating in the development of a prognostic model comprising six critical genes. …”
    Get full text
    Article
  7. 9227

    Cross-sectional Study of EMG and EMG Rise During Fast and Slow Hamstring Exercises by Kasper Krommes, Markus Due Jakobsen, Thomas Bandholm, Lars Louis Andersen, Mette Zebis, Anthony Shield, Per Hölmich, Kristian Thorborg

    Published 2021-08-01
    “… # Methods Out of 28 participants enrolled, the final sample included 23 recreationally active male participants who attended a session for determining RM (repetition maximum) to establish loading (8 and 16RM for Hamstring Catches, and 8, 16 and 24RM for Leg Curl) and to familiarize themselves with the three different exercises (Nordic Hamstring, Leg Curl and Hamstring Catch), and a testing session >4 days after during which EMG data were collected during 3 repetitions of each exercise performed in a random order. # Results The Nordic Hamstring evoked higher RER (1091.8 nEMG/s) than Hamstring Catches (mean difference: 421 nEMG/s, p<0.0001) and Leg Curl (mean difference: 705 nEMG/s, p<0.001), and at the earliest numerical timepoint from onset of muscle contraction (the Nordic Hamstring: 6 ms; Hamstring Catches: 36-41 ms; Leg Curl: 12-14 ms). …”
    Get full text
    Article
  8. 9228

    Tracking Persistent Symptoms in Scotland (TraPSS): a longitudinal prospective cohort study of COVID-19 recovery after mild acute infection by Jane Ormerod, Nicholas F Sculthorpe, Marie McLaughlin, Luke Cerexhe, Eilidh Macdonald, Antonio Dello Iacono, Nilihan E M Sanal-Hayes, Joanne Ingram, Rachel Meach, David Carless, Lawrence D Hayes

    Published 2025-01-01
    “…To understand the complexity of Long-COVID, the importance of symptom surveillance and prospective longitudinal studies is evident.Methods A 9-month longitudinal prospective cohort study was conducted within Scotland (n=287), using a mobile app to determine the proportion of recovered individuals and those with persistent symptoms and common symptoms, and associations with gender and age.Results 3.1% of participants experienced symptoms at month 9, meeting the criteria for Long-COVID, as defined by the National Institute for Health and Care Excellence terminology. The random effects model revealed a significant time (month) effect for infection recovery (p&lt;0.001, estimate=0.07). …”
    Get full text
    Article
  9. 9229

    Effect of Respiratory Training combined with Core Stability Training for Children with Spastic Cerebral Palsy by Binong HU, Kai ZHANG, Fang QI, Chunhua WANG, Wenyin ZHOU, Kun AI, Hong ZHANG

    Published 2020-12-01
    “…Objective:To observe the effect of respiratory training combined with core stability training on motor function, balance function and daily life ability of children with spastic cerebral palsy.Methods:A total of 74 children with spastic cerebral palsy who were treated in the deparment of child rehabilitation of Xiangya fraternity rehabilitation hospital from March to December 2019, which were divided into the control group and the observation group according to the random number table, with 37 cases in each group.In the course of treatment, two cases dropped in each group, and finally 35 cases were included in each group.The control group was given core stability training on the basis of routine rehabilitation training.The routine rehabilitation training mainly included stretching training, joint range of motion training and occupational therapy, 10 minutes each time.Core stability training mainly included bypass training, sitting up training, suspension system training and Bobath ball training, 40 minutes per time.On the basis of routine rehabilitation training in the control group, the core stability training time of the observation group reduced from 40 minutes to 20 minutes each time, and then received respiratory training, 20 minutes each time.Respiratory training mainly includes abdominal respiratory training(7 min per time), chest expanding exercise training(3 min per time), respiratory aid method training(4 min per time), and anti blocking respiratory training(6 min per time).All the above items were trained twice a day, five times a week, continuous treatment for three months.Before and after treatment for three months, D and E functional domains of gross motor function measure scale-88(GMFM-88)was used to assess the gross motor function such as standing, walking, running and jumping; the Berg balance scale(BBS)was used to assess the balance function;and the Barthel index(BI)was used to assess the daily life activity ability.Results:Before treatment, there were no significant difference in the D and E functional domains scores of GMFM-88, BBS scores and BI scores between the two groups, with no statistically significant differences(<italic>P</italic>&gt;0.05).Compared with before treatment, the D and E functional domains of scores GMFM-88, BBS scores, BI scores of the both groups after treatment for three months were significantly improved, with statistically significant differences(<italic>P</italic>&lt;0.05).Compared with the control group, the D and E functional domains of scoresGMFM-88, BBS scores, BI scores in the observation group were significantly higher than those of the control group, with statistically significant differences(<italic>P</italic>&lt;0.05).Conclusion:Respiratory training combined with core stability training can significantly improve the gross motor function, balance function and daily life ability of children with spastic cerebral palsy, which is worthy of clinical promotion.…”
    Get full text
    Article
  10. 9230

    Mapping Habitat Structures of Endangered Open Grassland Species (<i>E. aurinia</i>) Using a Biotope Classification Based on Very High-Resolution Imagery by Steffen Dietenberger, Marlin M. Mueller, Andreas Henkel, Clémence Dubois, Christian Thiel, Sören Hese

    Published 2025-01-01
    “…By employing various modeling techniques, including Generalized Additive Models (GAM), Generalized Linear Models (GLM), and Random Forest (RF), we assessed the influence of different modeling parameters and pseudo-absence (PA) data generation on model performance. …”
    Get full text
    Article
  11. 9231

    Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

    Published 2025-01-01
    “…In this research, different models, named Linear Regression (LR), Support Vector Machine (SVR), KNN Regressor, Decision Forest Regressor, XGBoost Regressor, Neural Network (NN), Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Random Forest Regressor, Categorical Boosting (CatBoost), Deep Autoregressive (DeepAR), and Facebook Prophet, are trained and tested under both identical features and a training–testing ratio. …”
    Get full text
    Article
  12. 9232

    Short-term Outcomes of Pancreatoduodenectomy in Patients with Liver Cirrhosis: A Systematic Review and Meta-analysis by Shahab Hajibandeh, MRCS, Shahin Hajibandeh, FRCS, Alwin Puthiyakunnel Saji, Ayman Ashabi, MRCS, Christopher Brown, FRCS, Nicholas G Mowbray, FRCS, Matthew Mortimer, FRCS, Guy Shingler, FRCS, Amir Kambal, FRCS, Bilal Al-Sarireh, FRCS, PhD

    Published 2024-09-01
    “…Short-term outcomes of pancreatoduodenectomy between patients with and without LC were compared using random effects modeling and the certainty of the evidence was assessed using the GRADE system. …”
    Get full text
    Article
  13. 9233

    Effect of Spine Nerves Muscle Stimulation Combined with Scalp Acupuncture on Shoulder-hand Syndrome after Early Stroke by Huazhong YANG, Yongsheng ZHOU, Haipeng JIA, Qingjun YANG, Lingjuan RAO

    Published 2019-06-01
    “…Objective:To observe the effect of spine nerves muscle stimulation technique(SNMS)combined with scalp acupuncture on early stroke patients with shoulder-hand syndrome(SHS).Methods:A total of 44 patients with shoulder-hand syndrome after early stroke were divided into control group and observation group according to the random number table method, with 22 cases in each group. …”
    Get full text
    Article
  14. 9234

    Retinal thickness and vascular density changes in Keratoconus: A systematic review and meta-analysis by Hadi Vahedi, Mirsaeed Abdollahi, Reza Moshfeghinia, Shima Emami, Navid Sobhi, Rana Sorkhabi, Ali Jafarizadeh

    Published 2025-01-01
    “…We analyzed the data using STATA software 17 and the random effects model with the restricted maximum likelihood (REML) or maximum likelihood (ML) method to pool the standardized mean difference (SMD) and the weighted mean difference (WMD) of retinal thickness and vascular density compared to non-KC eyes. …”
    Get full text
    Article
  15. 9235

    Evaluation of the impact of acidic medications and fluoride-containing mouthwash on the enamel surface using quantitative light-induced fluorescence, microhardness, and scanning el... by Saanya Bhasin, Simran Singh, Manuel Sebastian Thomas, Karuna Yarmunja Mahabala, Ramya Shenoy

    Published 2025-01-01
    “…For the evaluation of surface morphology by scanning electron microscopy (SEM), two random samples used for QLF from each group were taken. …”
    Get full text
    Article
  16. 9236

    High internal phase emulsion as a fat replacer: Effect on physico-chemical properties, microstructure and protein digestibility of processed meat during reheating by Lilan Xu, Yuanqi Lv, Yan Zhao, Yao Yao, Na Wu, Shuping Chen, Yonggang Tu

    Published 2025-01-01
    “…Moreover, the replacement of HIPE significantly increased the protein digestibility and surface hydrophobicity, decreased the free sulfhydryl content and also caused the decreases in the amount of α-helix concomitant with increases in β-sheet, random coil and β-turn contents. When reheated to the core temperatures of 75-85 ℃, the hardness, T22 and A22 and protein digestibility were not significantly affected by 50 % fat substitution. …”
    Get full text
    Article
  17. 9237

    Association between Axial Length to Corneal Curvature Radius Ratio and Myopia in Adult Patients by Yanyun Fan, Yikeng Huang, Xionggao Huang

    Published 2024-01-01
    “…In total, 187 eyes (right eye) of 187 myopic patients aged 18–35 years were selected by random sampling. Based on the results of spherical equivalent (SE, (D)) obtained by postdilation optometry, all subjects were divided into three groups: mild myopia (≤−0.50D and >−3.00D, 42 eyes), moderate myopia (≤−3.00D and >−6.00D, 80 eyes), and high myopia (≤−6.00D, 65 eyes). …”
    Get full text
    Article
  18. 9238

    A new risk assessment model of venous thromboembolism by considering fuzzy population by Xin Wang, Yu-Qing Yang, Xin-Yu Hong, Si-Hua Liu, Jian-Chu Li, Ting Chen, Ju-Hong Shi

    Published 2024-12-01
    “…Sensitivity and specificity of our method was compared with five ML models (support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), logistic regression (LR), and XGBoost) and the Padua model. …”
    Get full text
    Article
  19. 9239

    Effective dietary interventions during pregnancy: a systematic review and meta-analysis of behavior change techniques to promote healthy eating by Hannah O’Connor, Nina Meloncelli, Shelley A. Wilkinson, Anna Mae Scott, Lisa Vincze, Alita Rushton, Samantha Dawson, Jenna Hollis, Bree Whiteoak, Sarah Gauci, Susan de Jersey

    Published 2025-02-01
    “…BCTs were coded by two authors using Michie et al.’s BCT taxonomy V1. A random effect model assessed intervention effects on indices of dietary quality and food groups (fruit, vegetables, grains and cereals, meat, and dairy) in relation to the use of BCTs and intervention features. …”
    Get full text
    Article
  20. 9240

    MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

    Published 2024-12-01
    “…This performance surpassed some of the state-of-the-art models like 3D-ResNet-BiLSTM and MS-3D-ResNet-BiLSTM, and other traditional ML methods like Random Forest (RF), XGBoost, and LightGBM. These findings highlight the methodology’s capability to handle multiple RS data types and its role in improving yield predictions, which can be helpful for sustainable agriculture.…”
    Get full text
    Article