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r open source scripting software comprehensive r archive network  (Schwarzer GmbH)

 
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    Schwarzer GmbH r open source scripting software comprehensive r archive network
    R Open Source Scripting Software Comprehensive R Archive Network, supplied by Schwarzer GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/open-source+script/r+software/pm36336025-43-5-26
    Average 90 stars, based on 1 article reviews
    r open source scripting software comprehensive r archive network - by Bioz Stars, 2026-10
    90/100 stars

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    Software:

    Article Title: A meta-analysis on the prevalence of depression in perimenopausal and postmenopausal women in India.
    Article Snippet: Introduction: The mental health of perimenopausal and postmenopausal women is a relatively understudied area.. This review formally explores the prevalence of depression in perimenopausal and postmenopausal women in India.. Methods: Databases like PubMed, Embase, Cochrane library, Web of Science and Scopus were systematically searched for cross-sectional or cohort studies, providing prevalence of depression in Indian perimenopausal and postmenopausal women.

    Article Title: The effect of non-invasive brain stimulation in reducing anhedonia and apathy in major depressive disorder and schizophrenia: A meta-analysis.
    Article Snippet: Background: Anhedonia and apathy are core symptoms of Major Depressive Disorder (MDD) and schizophrenia, and respectively refer to deficit in reward processing and motivation.. Emerging evidence indicates noninvasive brain stimulation (NIBS) such as transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) may be effective in treating anhedonia and apathy.. Objective: To quantitatively synthesize existing literature on the efficacy of TMS and tDCS in alleviating anhedonia and apathy among individuals with MDD and schizophrenia.

    Article Title: A data synthesis on air-water exchange flux of plasticizers of phthalates and organophosphates in surface water.
    Article Snippet: Funding information This study was supported by the Research Development Fund (RDF 20_02_20), and the Postgraduate Research Scholarship (PGRS2012022) from Xi'an Jiaotong– Liverpool University.. We would like to thank the editor and the referees for the valuable comments.. Abstract Microplastic pollution has become an emerging environmental issue in the past decades.

    Article Title: Global prevalence of Giardia duodenalis in cattle: A systematic review and meta-analysis.
    Article Snippet: Giardia duodenalis is an important intestinal parasite responsible for diarrhea in humans and animals worldwide.. Up to now, G. duodenalis infections in cattle have been reported in many studies around the world.. Hence, the aim of the present study is to report on the distribution of G. duodenalis in cattle at global scale and to evaluate the global prevalence, risk factors and genetic characterization of G. duodenalis infection among cattle worldwide.

    Article Title: Economic impact of predominant ticks and tick-borne diseases on Indian dairy production systems.
    Article Snippet: As per 20th livestock census, India possessing 193.46 million cattle and 109.85 million buffaloes in organized and unorganized sectors.. These animals are suffering from tick infestation almost throughout the year causing both direct and indirect losses.. Repeated use of chemical acaricides for tick management resulted in the establishment of acaricide resistant tick populations, insecticide residues in livestock products and environmental pollution.

    Article Title: The risk of cognitive decline and dementia in older adults diagnosed with COVID-19: A systematic review and meta-analysis.
    Article Snippet: Background: Cognitive impairment can be caused by infections with various pathogens, including SARS-CoV-2.. Research has yet to determine the true incidence and course of cognitive impairment in older adults following COVID-19.. Furthermore, research has theorised that COVID-19 is associated with dementia progression and diagnosis but this association has yet to be fully described.

    other:

    Article Title: Therapeutic efficacy and safety of chamomile for state anxiety, generalized anxiety disorder, insomnia, and sleep quality: A systematic review and meta-analysis of randomized trials and quasi-randomized trials.
    Article Snippet: Faculty of Medicine, University of Medicine of Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam Online Research Club (http://www.onlineresearchclub.org), Nagasaki, Japan Sulaiman Al Rajhi Colleges, College of Medicine, Qassim, Saudi Arabia Kubutambahan II Public Health Center, Singaraja 81172, Indonesia Faculty of Medicine, Mansoura University, Mansoura, Egypt Department of General Medicine, Nishtar Medical University, Multan, Punjab, Pakistan Faculty of Medicine, Alexandria University, Alexandria, Egypt Faculty of Medicine, Damascus University, Damascus, Syria Faculty of Medicine, Vo Truong Toan University, Hau Giang, Vietnam Department of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Leading Graduate School Program, and Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852–8523, Japan Evidence Based Medicine Research Group, Ton Duc Thang University, Ho Chi Minh City 70000, Vietnam Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City 70000, Vietnam Department of Clinical Product Development, Institute of Tropical Medicine (NEKKEN), School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852–8523, Japan

    Article Title: Positive rates of interferon-γ release assay and tuberculin skin test in detection of latent tuberculosis infection: A systematic review and meta-analysis of 200,000 head-to-head comparative tests.
    Article Snippet: Objective: To compare the positive rates of IGRA and TST in detection of LTBI.. Methods: We searched PubMed, Embase, and the Cochrane Library on March 12, 2022.. A random-effects model was used to calculate pooled results.

    Significance Assay:

    Article Title: Global prevalence of Giardia duodenalis in cattle: A systematic review and meta-analysis.
    Article Snippet: Giardia duodenalis is an important intestinal parasite responsible for diarrhea in humans and animals worldwide.. Up to now, G. duodenalis infections in cattle have been reported in many studies around the world.. Hence, the aim of the present study is to report on the distribution of G. duodenalis in cattle at global scale and to evaluate the global prevalence, risk factors and genetic characterization of G. duodenalis infection among cattle worldwide.



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    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and <t>the</t> <t>three-dimensional</t> kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of <t>1-SPM</t> to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.
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    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and <t>the</t> <t>three-dimensional</t> kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of <t>1-SPM</t> to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.
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    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Journal: Heliyon

    Article Title: A new method applied for explaining the landing patterns: Interpretability analysis of machine learning

    doi: 10.1016/j.heliyon.2024.e26052

    Figure Lengend Snippet: Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Article Snippet: For the implementation of SPM, the open-source MATLAB script (paired-samples T-test) of One-Dimensional SPM (SPM 1D) was employed to test the statistical differences, and the significance threshold was set as 0.05 [ , ].

    Techniques: