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20161
RELATIVE AND ABSOLUTE RELIABILITY OF ISOMETRIC AND ISOKINETIC SHOULDER MAXIMAL MOMENT AND FLEXION/EXTENSION RATIOS IN GYMNASTS
Published 2018-06-01“…Notwithstanding a small systematic bias (due to testing/learning) from measurement 1 to measurement 2 significant in four parameters, the results supported the reliability of the measurements. …”
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20162
Utilization of valorised wood bark waste as an adsorbent for the uptake of Pb(II) ions
Published 2025-08-01Get full text
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20163
Macrocycle‐based differential sensing: Design strategies and applications
Published 2025-02-01“…Herein, we present a concise overview of the fundamental processes involved in a sensor array, encompassing array construction, signal transduction, and data acquisition and analysis, with an emphasis on the unique advantages provided by macrocyclic receptors in the former two aspects. …”
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20164
1D Convolutional Neural Network-Based Hierarchical Classification of Eye Movements Using Noncontact Electrooculography
Published 2025-01-01“…The primary objective of this research is to implement a hierarchical deep learning model for classifying data collected from a non-contact EOG device into five types of eye movements. …”
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20165
Comparing the functionality of ontology design software with an emphasis on Persian language: Designing an evidence-based medical ontology prototype
Published 2024-06-01“…This article is an applied research with library research and content analysis methods used to collect data. To identify ontology design software, a list of ontology design software was prepared by searching Google and Science Direct document databases, World Wide Web Consortium website, Wikipedia, Mohed’s article and various websites. 151 software were found, some were not restored and removed from the list. …”
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20166
A systematic literature review of digital elevation models and hydrological models integration for advanced flood risk management
Published 2025-12-01“…The SLR scrutinized 21 articles, revealing eight key themes: DEM data sources and characteristics, DEM integration with hydrological models, flood hazard mapping applications, terrain impact assessment, model performance evaluation, machine learning in flood management, ecosystem services and resilience, and policy and governance implications. …”
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20167
Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping
Published 2025-01-01“…Ground truthing plays a crucial role in ensuring the accuracy of supervised remote sensing maps, as it provides the high-quality reference data needed for model training and validation. However, traditional ground truthing methods are labor-intensive, time-consuming and restricted in spatial coverage, posing challenges for large-scale or complex landscapes. …”
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20168
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20169
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20170
The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic
Published 2021-01-01“…In this study, futuristic and emerging innovations are analyzed, improving COVID-19 effects for the general public. Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. …”
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20171
Evaluating the performance of kindergarten teachers according to quality assurance standards in the Kurdistan Region / Iraq
Published 2023-04-01“…Where it was chosen by a stratified random method, and after applying the measures of building the scale, the researchers built a measure of performance standards parameters consisting of (87) paragraphs in the form of declarative phrases, distributed on (10) areas (16) standards, and these areas included each of: Effective education strategy: (9, paragraph), planning and follow-up (8, paragraph), classroom activities management and positive interaction: (8, paragraph), learning methods that respond to children’s needs for their development (8, paragraph), environmental awareness (8, paragraphs), child health and safety (8, paragraphs), professional development and knowledge of specialization: (10, paragraph), enhancing communication with the child: (8, paragraphs), the teacher’s partnership with the family and society (10, paragraphs), evaluation: (10, paragraphs) and it consists of ( 5) Five answer alternatives, which extracted the appropriate psychometric characteristics of the scale items, which included: (discriminatory power, item reliability and item stability), and extracted the psychometric properties of the scale, which included: (apparent honesty and constructive honesty), and stability: (retest method and Cronbach's alpha equation), and to apply the scale in its final form, the researcher chose the sample application from the original population with a percentage (10%), with a number of (732) parameters, which were chosen by a stratified random method, and based on the (SPSS) program (Statistical Portfolio for Social Sciences) to analyze data, the current research reached the most important results according to the objectives of the research as follows: Building criteria Performance of kindergarten teachers in the light of quality assurance in the Kurdistan Region of Iraq - consisting of (87) paragraphs in the form of declarative phrases with appropriate psychometric characteristics, and that the kindergarten teachers in the center of the governorates of the Kurdistan Region of Iraq are characterized by the performance of female teachers in general and at a high level, and in conclusion and in In light of the research results, the researchers reached some recommendations and suggestions. …”
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20172
Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response
Published 2022-01-01“…For this, customers are classified into different clusters using the Machine Learning Algorithm K-Means. The proposed rate design model has been analyzed on synthetic smart meter data of 10 houses, and it is observed that the proposed tariff shows an increase in the monthly revenue by 4.3% for the utility and a variation of -0.4% to 7% of energy charge for different customers. …”
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20173
Distinct effects of global signal regression on brain activity during propofol and sevoflurane anesthesia
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20174
Development of an Augmented Reality-Based Practicum E-Module Integrated with Local Wisdom of Salak Fruit
Published 2024-12-01“…Data were collected from three high schools in Padangsidimpuan using simple random sampling. …”
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20175
Academic formation and permanent education: influences on leadership styles of nurses Formação acadêmica e educação permanente: influências nos estilos de liderança de enfermeiros...
Published 2017-10-01“…Six nurses from the hospital network of Chapecó, Santa Catarina, participated in this study and typified different leadership styles. The data were collected through semi-structured interviews and analyzed according to Thematic Analysis. …”
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20176
MOTIVATIONAL DIRECTION IN THE TRAINING OF FUTURE MUSIC TEACHERS
Published 2022-12-01“…The practical significance of this work lies in the need for research data provided by it for the modernization and expansion of modern pedagogical activities, in particular, in classes of Music. …”
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20177
Digital Literacy and the Livelihood Resilience of Livestock Farmers: Empirical Evidence from the Old Revolutionary Base Areas in Northwest China
Published 2024-10-01“…This study is based on survey data from 1047 livestock farmers in the Ningxia and Gansu provinces of the northwest old revolutionary base area. …”
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20178
Optimizing role assignment for scaling innovations through AI in agricultural frameworks: An effective approach
Published 2025-06-01“…Additionally, the study gives a thorough overview, summary, and analysis of a few papers that are specifically concerned with scaling innovation in the field of agricultural research for development. …”
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20179
Counting the chorus: A bioacoustic indicator of population density
Published 2024-12-01“…Our results revealed significant, strong correlations between call density and distance sampling-based animal density estimates for all species, demonstrating that call density is a reliable indicator of animal density that can be used independently or in combination with traditional monitoring methods. Our analysis uses a fixed amount of manual validation of machine learning classifier output examples, without requiring prohibitively high classifier performance, and is robust to variation in vocal activity rates across time and space, making it both adaptable and scalable. …”
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20180
Factors influencing the pre-hospital management of civilian burn mass casualty incidents in the 21st century: a scoping review
Published 2025-05-01“…A total of 51 documents, containing descriptions, discussions, and/or experiences of the pre-hospital management of burn mass casualty incidents in civilian, non-war settings, were included and analysed using thematic analysis for qualitative data and labelled for themes and factors. …”
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