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Статті в журналах з теми "Sced48"

Автор: Grafiati

Опубліковано: 25 липня 2024

Оновлено: 31 липня 2025

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1

Tanious, René, and Rumen Manolov. "Visual Analysis of Single-Case Experimental Designs Data: Beyond Time-Series Graphs." Single Case in the Social Sciences 2, no. 1 (2025): 43–64. https://doi.org/10.15763/issn.1936-9298.2025.2.1.43-64.

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Visual analysis is a primary method for analyzing data obtained from single-case experimental designs (SCEDs). Traditionally, visual analysis of SCED data involves the inspection of time-series data depicting the dependent variable under the different experimental conditions over time. While various guidelines and visual aids have been developed to improve transparency, standardization, and ultimately the rigor of visually analyzing SCED time-series data, reliability issues still pertain. In addition, the scope of information that can be gathered by visually analyzing the raw time-series data

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2

Haq, Mohamed K., and Assoc Prof Dr Valliappan Raju. "History of Sustainable Community Economic Development: A Descriptive Research." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (2021): 112. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(112).

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Sustainable Community Economic Development (SCED) has gradually been changing overtime from production philosophy to the welfare ideology of assuring better future for a resilient community. SCED's contribution in poverty alleviation, employment generation, sustainable community design, disaster control and resilience, biodiversity protection and so on. The study conducted a descriptive literature review of the history of this concept in global and Bangladesh perspective. Peer review publications in English language were considered that were indexed in reputed database like Scopus and Web of S

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3

Moeyaert, Mariola, Rumen Manolov, and Emily Rodabaugh. "Meta-Analysis of Single-Case Research via Multilevel Models: Fundamental Concepts and Methodological Considerations." Behavior Modification 44, no. 2 (2018): 265–95. http://dx.doi.org/10.1177/0145445518806867.

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Multilevel modeling is an approach that can be used to summarize single-case experimental design (SCED) data. Multilevel models were developed to analyze hierarchical structured data with units at a lower level nested within higher level units. SCEDs use time series data collected from multiple cases (or subjects) within a study that allow researchers to investigate intervention effectiveness at the individual level and also to investigate how these individual intervention effects change over time. There is an increased interest in the field regarding how SCEDs can be used to establish an evid

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4

Natesan Batley, Prathiba, and Larry Vernon Hedges. "Accurate models vs. accurate estimates: A simulation study of Bayesian single-case experimental designs." Behavior Research Methods 53, no. 4 (2021): 1782–98. http://dx.doi.org/10.3758/s13428-020-01522-0.

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AbstractAlthough statistical practices to evaluate intervention effects in single-case experimental design (SCEDs) have gained prominence in recent times, models are yet to incorporate and investigate all their analytic complexities. Most of these statistical models incorporate slopes and autocorrelations, both of which contribute to trend in the data. The question that arises is whether in SCED data that show trend, there is indeterminacy between estimating slope and autocorrelation, because both contribute to trend, and the data have a limited number of observations. Using Monte Carlo simula

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5

Tanious, René, Tamal Kumar De, Bart Michiels, Wim Van den Noortgate, and Patrick Onghena. "Assessing Consistency in Single-Case A-B-A-B Phase Designs." Behavior Modification 44, no. 4 (2019): 518–51. http://dx.doi.org/10.1177/0145445519837726.

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Previous research has introduced several effect size measures (ESMs) to quantify data aspects of single-case experimental designs (SCEDs): level, trend, variability, overlap, and immediacy. In the current article, we extend the existing literature by introducing two methods for quantifying consistency in single-case A-B-A-B phase designs. The first method assesses the consistency of data patterns across phases implementing the same condition, called CONsistency of DAta Patterns (CONDAP). The second measure assesses the consistency of the five other data aspects when changing from baseline to e

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6

Tanious, René, and Patrick Onghena. "Applied hybrid single-case experiments published between 2016 and 2020: A systematic review." Methodological Innovations 15, no. 1 (2022): 73–85. http://dx.doi.org/10.1177/20597991221077910.

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Single-case experimental designs (SCEDs) are frequently used research designs in psychology, (special) education, and related fields. Hybrid designs are formed by combining two or more of the basic SCED forms (i.e. phase designs, alternation designs, multiple baseline designs, and changing criterion designs). Hybrid designs have the potential to tackle complex research questions and increase internal validity, but relatively little is known about their use in actual research practice. Therefore, we systematically reviewed SCED hybrid designs published between 2016 and 2020. The systematic revi

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7

Natesan, Prathiba. "Fitting Bayesian Models for Single-Case Experimental Designs." Methodology 15, no. 4 (2019): 147–56. http://dx.doi.org/10.1027/1614-2241/a000180.

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Abstract. Single-case experimental designs (SCEDs) are interrupted time-series designs that have recently gained recognition as being able to provide a strong basis for establishing intervention effect. Typically, SCED data are short time series and autocorrelated, which renders maximum likelihood and parametric analyses inadequate for data analysis, respectively. Although Bayesian methods overcome these challenges, most practitioners do not use Bayesian estimation because of: (a) its steep learning curve, (b) lack of Bayesian training, and (c) lack of knowledge of Bayesian software solutions.

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8

Köklü, Elif, and Funda Yirmibeşoğlu. "Investigation of Fear of Crime in City Centers through the Example of Be&scedil;ikta&scedil; Sinanpa&scedil;a Neighborhood." Current Urban Studies 05, no. 03 (2017): 356–78. http://dx.doi.org/10.4236/cus.2017.53020.

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9

Abderrahmani, Abdesselam, Brahim Gasbaoui, and Abdelfatah Nasri. "Security-constrained economic dispatch of power systems with line outage using firefly algorithm." STUDIES IN ENGINEERING AND EXACT SCIENCES 5, no. 2 (2024): e7322. http://dx.doi.org/10.54021/seesv5n2-149.

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The Security-constrained Economic Dispatch (SCED) problem is the problem of finding the optimal generation dispatch for a power system that minimizes the operating cost while ensuring the security of the system. The security of the system is defined as the ability of the system to withstand disturbances without violating any operational constraints. Line outage is a common disturbance that can affect the security of a power system. The Firefly Algorithm, inspired by the flashing behavior of fireflies in nature, is a metaheuristic optimization technique known for its effectiveness in solving co

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10

Southey, Benjamin, Dirk Spits, Damien Austin, Mark Connick, and Emma Beckman. "Determining the Effects of a 6-Week Training Intervention on Reactive Strength: A Single-Case Experimental Design Approach." Journal of Functional Morphology and Kinesiology 10, no. 2 (2025): 191. https://doi.org/10.3390/jfmk10020191.

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Objectives: Single-case experimental designs (SCEDs) provide a robust way to observe adaptations to training in highly specific populations. Furthermore, they provide unique insights into inter-participant variance in responses to interventions, which traditional randomized control trials cannot obtain. However, there is limited sports science literature that has applied this methodology to assess the effectiveness of training interventions. Thus, the aim of this study was to determine the individual and combined changes to reactive strength following a 6-week strength and plyometric training

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11

Rishad, M. K., and V. P. Singh. "Modelling of Bracing Systems for Seismic Behaviour of High Rise Steel Building." DESIGN, CONSTRUCTION, MAINTENANCE 3 (July 7, 2023): 86–91. http://dx.doi.org/10.37394/232022.2023.3.8.

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This study mainly emphasised on compare the seismic behaviour of high-rise steel building with different types of bracing systems. Non-linear static analysis were performed to observe the structural performance on high rise steel building of heights 10,15,20,25,30 and 35 storeys. For this study, four types bracing systems were used: V-Braced frames (VBF), Chevron Braced frames (CBF), X-Braced frames and Self-centring energy dissipating braced frames (SCEDBF). The performance of different types of bracing system has been evaluated by changing the parameters like height of building and different

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12

Miočević, Milica, Mariola Moeyaert, Axel Mayer, and Amanda K. Montoya. "Causal Mediation Analysis in Single Case Experimental Designs: Introduction to the Special Issue." Evaluation & the Health Professions 45, no. 1 (2022): 3–7. http://dx.doi.org/10.1177/01632787211073194.

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This special issue of Evaluation and the Health Professions is dedicated to methods for causal mediation analysis in Single Case Experimental Designs (SCEDs). Mediation analysis is used to identify intermediate variables that transmit the effect of the independent variable on the outcome. Until recently, mediation analysis was mostly confined to between-subjects designs and panel studies with few exceptions. Consequently, most of the developments in causal mediation analysis have also been restricted to such designs. In applied health research, SCEDs have been used to evaluate total effects of

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13

Norman-Nott, Nell, Chelsey Wilks, Negin Hesam-Shariati, et al. "Efficacy of the iDBT-Pain skills training intervention to reduce emotional dysregulation and pain intensity in people with chronic pain: protocol for a single-case experimental design with multiple baselines." BMJ Open 11, no. 4 (2021): e041745. http://dx.doi.org/10.1136/bmjopen-2020-041745.

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IntroductionDifficulties in emotional regulation are key to the development and maintenance of chronic pain. Recent evidence shows internet-delivered dialectic behaviour therapy (iDBT) skills training can reduce emotional dysregulation and pain intensity. However, further studies are needed to provide more definitive evidence regarding the efficacy of iDBT skills training in the chronic pain population.Methods and analysisA single-case experimental design (SCED) with multiple baselines will be used to examine the efficacy of a 4-week iDBT-Pain skills training intervention (iDBT-Pain interventi

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14

Pavlou, Soultana (Tania), and Maro Vlachopoulou. "SCEDRA: an information system framework for e-SC operations." International Journal of Business Information Systems 3, no. 4 (2008): 431. http://dx.doi.org/10.1504/ijbis.2008.018042.

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15

Al-Juboory, H. H., and A. K. Al-Kubaisei. "Morphologically and Molecularly Identification of the Fungus that Causes White Mold Disease on Eggplant and Cucumber." IOP Conference Series: Earth and Environmental Science 1252, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1755-1315/1252/1/012008.

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Abstract This study aimed to isolate the causal agent of white mold on eggplant caused by the fungus Sclerotinia sclerotiorum, and it was examined microscopically and molecularly. The pathogenicity of 16 isolates of the pathogenic fungus was evaluated from soil and plant residues, eggplant and cucumber plants (ScE1– ScE8) and (ScC1 – ScC8), respectively, from fields in different areas of Baghdad governorate of Baghdad (Abi Ghraib/Zidan, Al-Yusufiyah, Mada’in/Tuwaitha and Jadiriyah / University of Baghdad). The results of testing the pathogenicity of isolates of the pathogenic fungus showed tha

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16

Somer, Emma, Christian Gische, and Milica Miočević. "Methods for Modeling Autocorrelation and Handling Missing Data in Mediation Analysis in Single Case Experimental Designs (SCEDs)." Evaluation & the Health Professions 45, no. 1 (2022): 36–53. http://dx.doi.org/10.1177/01632787211071136.

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Single-Case Experimental Designs (SCEDs) are increasingly recognized as a valuable alternative to group designs. Mediation analysis is useful in SCEDs contexts because it informs researchers about the underlying mechanism through which an intervention influences the outcome. However, methods for conducting mediation analysis in SCEDs have only recently been proposed. Furthermore, repeated measures of a target behavior present the challenges of autocorrelation and missing data. This paper aims to extend methods for estimating indirect effects in piecewise regression analysis in SCEDs by (1) eva

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17

Hafner, K., and R. W. Clayton. "The Southern California Earthquake Data Center (SCEDC)." Seismological Research Letters 72, no. 6 (2001): 705–11. http://dx.doi.org/10.1785/gssrl.72.6.705.

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18

McCoy, Airlie J., Robert A. Nicholls, and Thomas R. Schneider. "SCEDS: protein fragments for molecular replacement inPhaser." Acta Crystallographica Section D Biological Crystallography 69, no. 11 (2013): 2216–25. http://dx.doi.org/10.1107/s0907444913021811.

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A method is described for generating protein fragments suitable for use as molecular-replacement (MR) template models. The template model for a protein suspected to undergo a conformational change is perturbed along combinations of low-frequency normal modes of the elastic network model. The unperturbed structure is then compared with each perturbed structure in turn and the structurally invariant regions are identified by analysing the difference distance matrix. These fragments are scored with SCEDS, which is a combined measure of the sphericity of the fragments, the continuity of the fragme

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19

Stapleton, Melanie R., Malcolm J. Horsburgh, Emma J. Hayhurst, et al. "Characterization of IsaA and SceD, Two Putative Lytic Transglycosylases of Staphylococcus aureus." Journal of Bacteriology 189, no. 20 (2007): 7316–25. http://dx.doi.org/10.1128/jb.00734-07.

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ABSTRACT Bacterial cell wall peptidoglycan is a dynamic structure requiring hydrolysis to allow cell wall growth and division. Staphylococcus aureus has many known and putative peptidoglycan hydrolases, including two likely lytic transglycosylases. These two proteins, IsaA and SceD, were both found to have autolytic activity. Regulatory studies showed that the isaA and sceD genes are partially mutually compensatory and that the production of SceD is upregulated in an isaA mutant. The expression of sceD is also greatly upregulated by the presence of NaCl. Several regulators of isaA and sceD exp

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20

Tanious, René, and Patrick Onghena. "Randomized Single-Case Experimental Designs in Healthcare Research: What, Why, and How?" Healthcare 7, no. 4 (2019): 143. http://dx.doi.org/10.3390/healthcare7040143.

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Health problems are often idiosyncratic in nature and therefore require individualized diagnosis and treatment. In this paper, we show how single-case experimental designs (SCEDs) can meet the requirement to find and evaluate individually tailored treatments. We give a basic introduction to the methodology of SCEDs and provide an overview of the available design options. For each design, we show how an element of randomization can be incorporated to increase the internal and statistical conclusion validity and how the obtained data can be analyzed using visual tools, effect size measures, and

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21

Haq, Mohamed K. "Historical Evolution of Sustainable Community Economic Development in Business and Economics." GATR Journal of Business and Economics Review 6, no. 3 (2021): 171–80. http://dx.doi.org/10.35609/jber.2021.6.3(1).

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Objective - Sustainable Community Economic Development (SCED) has gradually changed overtime from production philosophy to the welfare ideology of assuring a better future for a resilient community in business and economics. SCED contributesto poverty alleviation, employment generation, sustainable community design, disaster control and resilience, biodiversity protection, and much more.The objective of this study is to conduct a literature review of this concept fromthe global and Bangladeshi perspective. Methodology - Peer reviewed publications in English language were considered indexed on

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22

Xie, Qin, Zhen Zhou, Canjun Li, and Shaoping Meng. "Parametric Analysis and Direct Displacement-Based Design Method of Self-Centering Energy-Dissipative Steel-Braced Frames." International Journal of Structural Stability and Dynamics 17, no. 08 (2017): 1750087. http://dx.doi.org/10.1142/s0219455417500870.

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The self-centering energy-dissipative (SCED) brace is a novel bracing element that can substantially reduce the residual deformation and enhance the reparability of structures. In this paper, nonlinear dynamic analyses have been conducted on a 4- and a 12-story steel-braced frame with SCED braces to study the effect of four important design parameters on the seismic performance of the SCED frames and recommendations are given for selection of the parameters. The parameters considered include the response modification coefficient [Formula: see text], the stiffness ratio of the brace [Formula: s

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23

Turgut, Mehmet. "Şerefeddin Sabuncuoğlu (1385–1468) on Pediatric Skull Fractures." Pediatric Neurosurgery 44, no. 4 (2008): 264–68. http://dx.doi.org/10.1159/000131674.

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24

Guo, Hui, Xiaoyan Wang, Zecheng Guo, and Siyong Chen. "Assessing Snow Phenology and Its Environmental Driving Factors in Northeast China." Remote Sensing 14, no. 2 (2022): 262. http://dx.doi.org/10.3390/rs14020262.

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Snow cover is an important water source and even an Essential Climate Variable (ECV) as defined by the World Meteorological Organization (WMO). Assessing snow phenology and its driving factors in Northeast China will help with comprehensively understanding the role of snow cover in regional water cycle and climate change. This study presents spatiotemporal variations in snow phenology and the relative importance of potential drivers, including climate, geography, and the normalized difference vegetation index (NDVI), based on the MODIS snow products across Northeast China from 2001 to 2018. Th

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25

Peltier, Corey J., Kimberly J. Vannest, and Josh J. Marbach. "A Meta-Analysis of Schema Instruction Implemented in Single-Case Experimental Designs." Journal of Special Education 52, no. 2 (2018): 89–100. http://dx.doi.org/10.1177/0022466918763173.

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Identifying mathematical interventions that practitioners can implement to improve the mathematical problem solving (PS) of students is a need for the field. Literature on the PS performance of students with disabilities has grown; recently, schema instruction (SI) has been suggested as an evidence-based practice. The purpose of this study was to meta-analyze single-case experimental designs (SCEDs) that implemented SI with students identified with disabilities. A total of 16 studies, with 61 students identified with disabilities met the inclusion criteria. Tau U was used to report interventio

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26

Zhang, Yuanchao, Man S. Kim, Erin R. Reichenberger, Ben Stear, and Deanne M. Taylor. "Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis." PLOS Computational Biology 16, no. 4 (2020): e1007794. http://dx.doi.org/10.1371/journal.pcbi.1007794.

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27

Zaleski, Rosemary, Hua Qian, and Chris Money. "Specific Consumer Exposure Determinants (SCEDs) for Fuel and Lubricant Scenarios." ISEE Conference Abstracts 2013, no. 1 (2013): 3469. http://dx.doi.org/10.1289/isee.2013.o-3-31-05.

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28

Tanious, René, and Rumen Manolov. "Violin plots as visual tools in the meta-analysis of Single-Case Experimental Designs." Methodology 18, no. 3 (2022): 221–38. http://dx.doi.org/10.5964/meth.9209.

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Despite the existence of sophisticated statistical methods, systematic reviews regularly indicate that single-case experimental designs (SCEDs) are predominantly analyzed through visual tools. For the quantitative aggregation of results, different meta-analytical techniques are available, but specific visual tools for the meta-analysis of SCEDs are lacking. The present article therefore describes the use of violin plots as visual tools to represent the raw data. We first describe the underlying rationale of violin plots and their main characteristics. We then show how the violin plots can comp

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29

Fan, Xiao-Wei, Long-He Xu, and Zhong-Xian Li. "Behaviors Comparisons and Prediction of Pre-Pressed Spring Self-Centering Energy Dissipation Braces." International Journal of Structural Stability and Dynamics 18, no. 08 (2018): 1840006. http://dx.doi.org/10.1142/s0219455418400060.

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The pre-pressed spring self-centering energy dissipation (PS-SCED) brace that combines the friction energy dissipation mechanism with a self-centering member comprising combination disc springs is developed and experimentally studied. The configuration of the proposed bracing system is presented and a Bouc–Wen model-based restoring force model is proposed to predict its hysteretic behavior. Two large scale PS-SCED braces with different length and different types of disc springs are designed, fabricated, and tested under low cyclic reversed loadings, and results demonstrate that the PS-SCED bra

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30

Zulfiani, Zulfiani, Iwan Permana Suwarna, and Sujiyo Miranto. "SCIENCE EDUCATION ADAPTIVE LEARNING SYSTEM AS A COMPUTER-BASED SCIENCE LEARNING WITH LEARNING STYLE VARIATIONS." Journal of Baltic Science Education 17, no. 4 (2018): 711–27. http://dx.doi.org/10.33225/jbse/18.17.711.

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Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers’ limitation in serving all students’ learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL) as a computer-based science learning media by accommodating students’ learning style variations. The research method used is a mixed method at junior high schools in Tangerang Selatan. The final product of the research is a special learning media appro

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31

Zulfiani, I. P. Suwarna, and S. Miranto. "ScEd-ALS as ubiquitous learning in science." Journal of Physics: Conference Series 1836, no. 1 (2021): 012067. http://dx.doi.org/10.1088/1742-6596/1836/1/012067.

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Darling, Michael Gyan, Seth Kofi Owusu, Mordecai Botchwey, and Daniel Asenso. "The Dark Side of Artificial Intelligence in Education: A Critical Analysis of its Impact on Learners Aged 12-14 Years." Journal of Artificial Intelligence, Machine Learning and Neural Network, no. 46 (October 25, 2024): 47–62. http://dx.doi.org/10.55529/jaimlnn.46.47.62.

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This research explores the connections between Teacher-Led Instruction (TLI), Peer Collaboration (PC), and Artificial Intelligence Assistance (AIA) in influencing Student Cognitive and Social-Emotional Development (SCED). Through exploratory and confirmatory factor analyses, the study found that TLI and PC are important positive predictors of SCED, highlighting the crucial role of collaborative and teacher-led approaches in promoting overall student development. Contrastingly, there is a negative association between AIA and SCED, underscoring the potential disadvantages of excessive dependence

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33

AL-TAHIR, O., and M. AL-ABDULSALAM. "Wheat (Triticum aestivum L. cv. Yecora rojo) Performance as Affected by Scedmg Rates and NItrogen FertIlizatIon." Journal of King Abdulaziz University-Meteorology, Environment and Arid Land Agriculture Sciences 6, no. 1 (1995): 31–39. http://dx.doi.org/10.4197/met.6-1.4.

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34

Chen, Junbai, Cheng Fang, Wei Wang, and Yongqing Liu. "Variable-friction self-centering energy-dissipation braces (VF-SCEDBs) with NiTi SMA cables for seismic resilience." Journal of Constructional Steel Research 175 (December 2020): 106318. http://dx.doi.org/10.1016/j.jcsr.2020.106318.

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35

Qian, Hua, Rosemary Zaleski, and Chris Money. "Approach for developing Specific Consumer Exposure Determinants (SCEDs) for Fuel and Lubricant Scenarios." ISEE Conference Abstracts 2013, no. 1 (2013): 3470. http://dx.doi.org/10.1289/isee.2013.p-1-22-02.

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36

Głowacka-Rutkowska, Aleksandra, Magdalena Ulatowska, Joanna Empel, Magdalena Kowalczyk, Jakub Boreczek, and Małgorzata Łobocka. "A Kayvirus Distant Homolog of Staphylococcal Virulence Determinants and VISA Biomarker Is a Phage Lytic Enzyme." Viruses 12, no. 3 (2020): 292. http://dx.doi.org/10.3390/v12030292.

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Staphylococcal bacteriophages of the Kayvirus genus are candidates for therapeutic applications. One of their proteins, Tgl, is slightly similar to two staphylococcal virulence factors, secreted autolysins of lytic transglycosylase motifs IsaA and SceD. We show that Tgl is a lytic enzyme secreted by the bacterial transport system and localizes to cell peripheries like IsaA and SceD. It causes lysis of E. coli cells expressing the cloned tgl gene, but could be overproduced when depleted of signal peptide. S. aureus cells producing Tgl lysed in the presence of nisin, which mimics the action of p

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Shi, Yan, Zhanhong Zhang, Hongguo Qin, Xiangyu Zhao, and Xiong Yang. "Lateral Seismic Response and Self-Centering Performance of a Long-Span Railway Continuous Beam-Arch Bridge." Shock and Vibration 2020 (August 5, 2020): 1–15. http://dx.doi.org/10.1155/2020/4547532.

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Based on the seismic isolation design concept of functional separation, a seismic isolation system with bearings and braces combination for railway bridge was proposed. The sliding bearings afford the vertical loads, and the self-centering energy dissipation brace (SCED) and buckling restrained brace (BRB) control the horizontal displacement of the beam, so the functional separation was achieved under the combined action. Taking a long-span railway continuous beam-arch bridge as an example, the corresponding analysis model was established to study lateral seismic response and the girder’s disp

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Flores, BenJeMar-Hope, and Hwachang Song. "Security-constrained Economic Dispatch (SCED) Considering Load Level Uncertainty." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 22, no. 2 (2022): 128–34. http://dx.doi.org/10.5391/ijfis.2022.22.2.128.

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39

Mantica, P. F., J. D. Robertson, E. M. Baum, and W. B. Walters. "Level structure of the odd mass Pr isotopes. III. Levels ofPr88147populated in the beta decay of 56-sCe147." Physical Review C 48, no. 4 (1993): 1579–93. http://dx.doi.org/10.1103/physrevc.48.1579.

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40

Ferguson, Robert J., Lauren Terhorst, Benjamin Gibbons, et al. "Using Single-Case Experimental Design and Patient-Reported Outcome Measures to Evaluate the Treatment of Cancer-Related Cognitive Impairment in Clinical Practice." Cancers 15, no. 18 (2023): 4643. http://dx.doi.org/10.3390/cancers15184643.

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Cancer-related cognitive impairment (CRCI) affects a large proportion of cancer survivors and has significant negative effects on survivor function and quality of life (QOL). Treatments for CRCI are being developed and evaluated. Memory and attention adaptation training (MAAT) is a cognitive-behavioral therapy (CBT) demonstrated to improve CRCI symptoms and QOL in previous research. The aim of this article is to describe a single-case experimental design (SCED) approach to evaluate interventions for CRCI in clinical practice with patient-reported outcome measures (PROs). We illustrate the use

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41

Wang, Wanying, and Baolin Sun. "VraCP regulates cell wall metabolism and antibiotic resistance in vancomycin-intermediate Staphylococcus aureus strain Mu50." Journal of Antimicrobial Chemotherapy 76, no. 7 (2021): 1712–23. http://dx.doi.org/10.1093/jac/dkab113.

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Abstract Objectives Vancomycin-intermediate Staphylococcus aureus (VISA) is increasingly being reported. Previous studies have shown that vraC and vraP may be involved in vancomycin resistance, although the molecular mechanism remains elusive. Methods The vraC (SAV0577), vraP (SAV0578) and vraCP mutants were constructed in Mu50 by allelic replacement. Some common VISA phenotypes were assessed in mutants, such as, susceptibility to the cell wall-associated antibiotics, cell wall thickness, autolysis activity and growth rate. RT-qPCR was performed to reveal the differential genes associated with

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42

Zulfiani, Z., Iwan Permana Suwarna, and Sujiyo Miranto. "Improving Students’ Academic Achievement Using the ScEd-ALS Android-Based." International Journal of Instruction 14, no. 2 (2021): 735–56. http://dx.doi.org/10.29333/iji.2021.14241a.

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Cimoli, Mario, João Basilio Pereima, and Gabriel Porcile. "Introduction to the special issue SCED: Complexity and economic development." Structural Change and Economic Dynamics 38 (September 2016): 1–2. http://dx.doi.org/10.1016/j.strueco.2016.04.004.

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Bischi, Gian Italo, Akio Matsumoto, and Edgar J. Sanchez Carrera. "Foreword to the SCED special issue on “Nonlinear Social Dynamics”." Structural Change and Economic Dynamics 52 (March 2020): 236–37. http://dx.doi.org/10.1016/j.strueco.2019.11.003.

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Sariowan, H., R. L. Cruz, and G. C. Polyzos. "SCED: a generalized scheduling policy for guaranteeing quality-of-service." IEEE/ACM Transactions on Networking 7, no. 5 (1999): 669–84. http://dx.doi.org/10.1109/90.803382.

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46

Sreejith, Sekharan, and Sishaj P. Simon. "Security Constrained Unit Commitment Incorporating Interline Power Flow Controller." Periodica Polytechnica Electrical Engineering and Computer Science 61, no. 1 (2017): 22. http://dx.doi.org/10.3311/ppee.9460.

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Security-constrained unit commitment (SCUC) problem is solved using Artificial Bee Colony (ABC) algorithm incorporating Interline Power Flow Controller (IPFC). The objective of the SCUC problem is to obtain the minimum operating cost simultaneously maintaining the system security. The SCUC problem involves unit commitment as the main problem and security-constrained Economic Dispatch (SCED) as the sub problem. The solution of the SCUC problem is also investigated during contingency with a single line outage. Binary coded artificial bee colony (BABC) is used for solving the UC problem (master p

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Yu, Ellen, Aparna Bhaskaran, Shang-Lin Chen, Zachary E. Ross, Egill Hauksson, and Robert W. Clayton. "Southern California Earthquake Data Now Available in the AWS Cloud." Seismological Research Letters 92, no. 5 (2021): 3238–47. http://dx.doi.org/10.1785/0220210039.

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Abstract The Southern California Earthquake Data Center is hosting its earthquake catalog and seismic waveform archive in the Amazon Web Services (AWS) Open Dataset Program (s3://scedc-pds; us-west-2 region). The cloud dataset’s high data availability and scalability facilitate research that uses large volumes of data and computationally intensive processing. We describe the data archive and our rationale for the formats and data organization. We provide two simple examples to show how storing the data in AWS Simple Storage Service can benefit the analysis of large datasets. We share usage sta

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Ke, C. Q., X. C. Li, H. Xie, X. Liu, and C. Kou. "Variability in snow cover phenology in China from 1952 to 2010." Hydrology and Earth System Sciences Discussions 12, no. 4 (2015): 4471–506. http://dx.doi.org/10.5194/hessd-12-4471-2015.

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Abstract. Daily snow observation data from 672 stations, particularly the 352 stations with over ten annual mean snow cover days (SCD), during 1952–2010 in China, are used in this study. We first examine spatiotemporal variations and trends of SCD, snow cover onset date (SCOD), and snow cover end date (SCED). We then investigate SCD relationships with number of days with temperature below 0 °C (TBZD), mean air temperature (MAT), and Arctic Oscillation (AO) index, the latter two being constrained to the snow season of each snow year. The results indicate that the heavy-snow years for the entire

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49

Xu, Jingyi, Yao Tang, Jiahui Xu, et al. "Impact of Snow Cover Phenology on the Vegetation Green-Up Date on the Tibetan Plateau." Remote Sensing 14, no. 16 (2022): 3909. http://dx.doi.org/10.3390/rs14163909.

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Variations in snow cover resulting from global warming inevitably affect alpine vegetation growth on the Tibetan Plateau (TP), but our knowledge of such influences is still limited. Here, we investigated the relationship between snow cover and alpine vegetation during 2003–2020 on the TP using the satellite-derived vegetation green-up date (GUD) and metrics of snow cover phenology, namely the snow cover onset date (SCOD), snow cover end date (SCED), snow cover duration (SCD), and snowmelt onset date (SMOD). In this study, we first analyzed the spatiotemporal changes in the GUD and the snow cov

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Ren, Chong, Lijuan Zhang, and Bin Fu. "Unraveling Effect of Snow Cover on Spring Vegetation Phenology across Different Vegetation Types in Northeast China." Remote Sensing 15, no. 19 (2023): 4783. http://dx.doi.org/10.3390/rs15194783.

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Snow cover has significantly changed due to global warming in recent decades, causing large changes in the vegetation ecosystem. However, the impact of snow cover changes on the spring phenology of different vegetation types in Northeast China remains unclear. In this study, we investigated the response of the start of the growing season (SOS) to different snow cover indicators using partial correlation analysis and stepwise regression analysis in Northeast China from 1982 to 2015 based on multiple remote sensing datasets. Furthermore, we revealed the underlying mechanisms using a structural e

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