scholarly journals Minimizing the Cleaning Cost in Flash Based Storage Sub-Systems by Proliferating the Valid Data Copying Process

2020 ◽  
Vol 5 (2) ◽  
pp. 561-566
Author(s):  
Hisyamuddin Kasim
Keyword(s):  
Valid Data ◽  
Cleaning Cost

Pengaruh Motivasi Intrinsik Dan Peraturan Pesantren Terhadap Kepuasan Santri Pondok Pesantren Manahijussadat Lebak, Banten

2020 ◽  
Vol 19 (2) ◽  
pp. 319-330
Author(s):  
Muhamad Nasrun Saragih ◽  
EE Junaedi Sastradiharja ◽  
Saifuddin Zuhri
Keyword(s):  
Intrinsic Motivation ◽  
Student Satisfaction ◽  
Hypothesis Test ◽  
Boarding School ◽  
Survey Method ◽  
Class Iii ◽  
Analysis Techniques ◽  
Analysis Technique ◽  
Valid Data ◽  
Correlational Approach

This study aims to test and determine whether empirically through valid data, intrinsic motivation and pesantren regulations have an effect on the satisfaction of students both partially and simultaneously. The method used by researchers is a survey method with a correlational approach to the santri of Manahijusadat Islamic Boarding School in Lebak, Banten. This type of research is quantitative, therefore the data analysis technique used is statistical analysis techniques, namely descriptive statistical techniques and inferential statistics. As for the means of collecting data through a questionnaire to 100 respondents from class III MTs Manahijussadat Islamic Boarding School, interviews and documentation. The results of the research hypothesis test showed that there was a positive and significant influence of intrinsic motivation on student satisfaction with a percentage of 17.8%. Second, there is a positive and significant effect of Islamic boarding school regulations on the satisfaction of students as indicated by the percentage of influence of 25.5%. Third, there is a joint positive and significant effect of intrinsic motivation and pesantren regulations on student satisfaction by 32.6%

KORELASI SENI MENGAJAR GURU DENGAN KEMAMPUAN PEMAHAMAN MATEMATIS SISWA KELAS VIII SEMESTER GENAP DI SMPN 10 PENAJAM PASER UTARATAHUN AJARAN 2015/2016

2018 ◽  
Vol 1 (1) ◽  
pp. 55-60
Author(s):  
Iin Mayang Sari
Keyword(s):  
Random Sampling ◽  
Valid Data ◽  
Cluster Random Sampling

ABSTRAK Berkaitan dengan kemampuan pemahaman matematis siswa, seorang guru diperlukan seni mengajar untuk menjadikan seorang siswa mampu dalam matematika. Penelitian ini bertujuan untuk mengetahui korelasi seni mengajar guru dengan kemampuan pemahaman matematis siswa kelas VIIII semester genap di SMPN 10 Penajam Paser Utara tahun ajaran 2015/2016. Penelitian ini adalah penelitian kuantitatif. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMPN 10 Penajam Paser Utara berjumlah 120 siswa dengan sampel penelitian pada kelas VIII-B dan Kelas VIII-D berjumlah 60 siswa. Pengambilan sampel dilakukan dengan teknik cluster random sampling. Setelah data kuesioner dan tes di uji validitas dan uji reabilitas didapat 29 butir soal kuesioner yang valid dan 5 butir soal tes kemampuan pemahaman matematis yang valid. Data dianalisis menggunakan uji korelasi rank spearman. Berdasarkan hasil analisis data diperoleh kesimpulan bahwa: terdapat korelasi yang signifikan antara seni mengajar guru dengan kemampuan pemahaman matematis siswa kelas VIII semester genap di SMPN 10 Penajam Paser Utara tahun ajaran 2015/2016. Hal ini ditunjukkan dengan keberartian koefisien sebesar Zhitung = 7,4429 sedangkan Ztabel =1,645. Jadi harga Zhitung lebih besar dari Ztabel (7,4429>1,645) pada taraf signifikansi 5%.

scholarly journals Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Dhruvil Shah ◽  
Devarsh Patel ◽  
Jainish Adesara ◽  
Pruthvi Hingu ◽  
Manan Shah
Keyword(s):  
Machine Learning ◽  
Education Sector ◽  
Student Records ◽  
Job Roles ◽  
Student Data ◽  
Disruptive Technologies ◽  
Valid Data ◽  
The Future ◽  
Student Achievements ◽  
The University

AbstractAlthough the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements. Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in the education sector with highly technical and effective methods. In this study, a system is proposed that combines these two radiant technologies and helps resolve problems such as forgeries of educational records and fake degrees. The idea here is that if these technologies can be merged and a system can be developed that uses blockchain to store student data and ML to accurately predict the future job roles for students after graduation, the problems of further counterfeiting and insecurity in the student achievements can be avoided. Further, ML models will be used to train and predict valid data. This system will provide the university with an official decentralized database of student records who have graduated from there. In addition, this system provides employers with a platform where the educational records of the employees can be verified. Students can share their educational information in their e-portfolios on platforms such as LinkedIn, which is a platform for managing professional profiles. This allows students, companies, and other industries to find approval for student data more easily.

scholarly journals Thermal Injuries Caused by Water from Loose Garden Hoses

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110312
Author(s):  
Karolína Uhrová ◽  
Pavel Böhm
Keyword(s):  
Human Skin ◽  
Air Temperature ◽  
Concrete Surface ◽  
Hot Water ◽  
Maximum Temperature ◽  
Water Contact ◽  
Valid Data ◽  
Thermal Injuries

This is a monitoring research, the purpose of which is to point out the danger of scalding with water from loose garden hoses. All the stated data are the result of this research, which occurred during the month of August. To adequately compare the maximum temperature that the water reaches in garden hoses exposed to sunlight, 2 different surfaces were chosen, namely grass and concrete. It has been found that water in garden hoses, which lie in a place exposed to sunlight, is able to reach temperatures at which, in case of contact with human skin, there is a risk of scalding. The results confirmed the assumption that the temperature in the grass will be lower in the hoses than in the concrete surface. At an air temperature of 35°C, the water in the hoses on the grass reached a temperature of up to 47.3°C. On a concrete surface at an air temperature of 28.5°C, the water in the hoses reached 49.8°C. There is a risk of scalding from such hot water contact with the skin, and especially with sensitive baby skin. The aim of this research is to provide valid data on the risk of spilling hyperthermic water in free-lying garden hoses exposed to sunlight. The threat of scalding can occur unknowingly or through negligence, the risk of scalding with such water increases during tropical days significantly.

Gratifications for using social media

2016 ◽  
Vol 34 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Chunmei Gan
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Analysis ◽  
University Students ◽  
Factor Structure ◽  
T Test ◽  
Sina Weibo ◽  
Chinese University ◽  
Valid Data ◽  
Paired T Test

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.

scholarly journals Children’s moderate-to-vigorous physical activity on weekdays versus weekend days: a multi-country analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Keith Brazendale ◽  
◽  
Michael W. Beets ◽  
Bridget Armstrong ◽  
R. Glenn Weaver ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Analytical Models ◽  
Accelerometer Data ◽  
Inclusion Criteria ◽  
Total Wear ◽  
Valid Data ◽  
Country Analysis

Abstract Purpose The Structured Days Hypothesis (SDH) posits that children’s behaviors associated with obesity – such as physical activity – are more favorable on days that contain more ‘structure’ (i.e., a pre-planned, segmented, and adult-supervised environment) such as school weekdays, compared to days with less structure, such as weekend days. The purpose of this study was to compare children’s moderate-to-vigorous physical activity (MVPA) levels on weekdays versus weekend days using a large, multi-country, accelerometer-measured physical activity dataset. Methods Data were received from the International Children’s Accelerometer Database (ICAD) July 2019. The ICAD inclusion criteria for a valid day of wear, only non-intervention data (e.g., baseline intervention data), children with at least 1 weekday and 1 weekend day, and ICAD studies with data collected exclusively during school months, were included for analyses. Mixed effects models accounting for the nested nature of the data (i.e., days within children) assessed MVPA minutes per day (min/day MVPA) differences between weekdays and weekend days by region/country, adjusted for age, sex, and total wear time. Separate meta-analytical models explored differences by age and country/region for sex and child weight-status. Results/findings Valid data from 15 studies representing 5794 children (61% female, 10.7 ± 2.1 yrs., 24% with overweight/obesity) and 35,263 days of valid accelerometer data from 5 distinct countries/regions were used. Boys and girls accumulated 12.6 min/day (95% CI: 9.0, 16.2) and 9.4 min/day (95% CI: 7.2, 11.6) more MVPA on weekdays versus weekend days, respectively. Children from mainland Europe had the largest differences (17.1 min/day more MVPA on weekdays versus weekend days, 95% CI: 15.3, 19.0) compared to the other countries/regions. Children who were classified as overweight/obese or normal weight/underweight accumulated 9.5 min/day (95% CI: 6.9, 12.2) and 10.9 min/day (95% CI: 8.3, 13.5) of additional MVPA on weekdays versus weekend days, respectively. Conclusions Children from multiple countries/regions accumulated significantly more MVPA on weekdays versus weekend days during school months. This finding aligns with the SDH and warrants future intervention studies to prioritize less-structured days, such as weekend days, and to consider providing opportunities for all children to access additional opportunities to be active.

scholarly journals Preanalytical Phase in Haematology

2008 ◽  
Vol 27 (3) ◽  
pp. 348-353 ◽  
Author(s):  
Giuseppe Banfi ◽  
L. Germagnoli
Keyword(s):  
Clinical Decision ◽  
Blood Parasites ◽  
Haematological Parameters ◽  
Pathological Conditions ◽  
Blood Drawing ◽  
Preanalytical Phase ◽  
Valid Data ◽  
Spurious Results ◽  
Instrumental Precision ◽  
Hematological Tests

Preanalytical Phase in Haematology The preanalytical phase is particularly important in haematology, where counts of particles and cells are performed in whole anticoagulated blood. The correct use and concentration of anticoagulant is mandatory to avoid spurious results, which can influence clinical decision. EDTA is the anticoagulant of choice, but it has some limits, especially for preserving stability and shape of platelets. Stability of haematological parameters is high, with the exception of leukocytes and reticulocytes. However, stability (and instrumental precision) should be evaluated together with biological variability and individuality index of various haematological parameters. Hematological tests are also influenced and interfered by high amounts of lipids and chylomicrons. The mixing procedure of the tubes after blood drawing and before analysis is also crucial for obtaining correct and valid data. There are some examples of interferences on automated haematological analysers which are used for diagnosing and screening pathological conditions. Cryoglobulins and erythrocytes parasites can induce spurious results of WBC, RBC and PLT, but the repeatability of these interferences could be used for alerting the pathologist and could reveal the presence of pathological proteins or blood parasites. New parameters have been proposed by modern haematological analysers, directly defined or calculated from traditional measures, but the clinical impact of these new parameters is often dependent on preanalytical variables.

The Interrelation between Recurrent and Capital Costs in a Solar Thermal Process Heat System

1981 ◽  
Vol 103 (3) ◽  
pp. 241-243
Author(s):  
L. L. Lukens ◽  
W. P. Schimmel
Keyword(s):  
Energy Cost ◽  
Solar Collector ◽  
Alternative Energy ◽  
Market Penetration ◽  
Heat Temperature ◽  
Capital Costs ◽  
Heat System ◽  
Process Heat ◽  
Cleaning Cost ◽  
Mirror Reflectance

The effect of operation and maintenance (O&M) costs on energy produced by solar collector systems is crucial to the market penetration of solar process heat as an alternative energy source. In the present paper, a particular O&M operation, regular collector cleaning, is considered in order to determine its effect upon annualized life cycle energy cost. A first-order model of mirror reflectance degradation as a function of time is constructed from experimental data taken at Albuquerque, N.M. This is used as input to a systems optimization model of a line-focus solar collector process heat installation. The energy cost variation is considered as a function of cleaning cost per unit of collector aperture and cleaning interval. Results are presented for a process heat temperature of 177°C.

scholarly journals A Lab Model for Symptom Exaggeration: What do we Need?

2016 ◽  
Vol 8 (1) ◽  
pp. 55-75 ◽  
Author(s):  
Isabella J. M. Niesten ◽  
Harald Merckelbach ◽  
Alfons Van Impelen ◽  
Marko Jelicic ◽  
Angel Manderson ◽  
...  
Keyword(s):  
Cognitive Dissonance ◽  
State Of The Art ◽  
Future Research ◽  
Current Form ◽  
Research Participants ◽  
Current State ◽  
Symptom Exaggeration ◽  
Valid Data ◽  
Theoretical Foundations

This article reflects on the current state of the art in research on individuals who exaggerate their symptoms (i.e., feigning). We argue that the most commonly used approach in this field, namely simply providing research participants with instructions to overreport symptoms, is valuable for validating measures that tap into symptom exaggeration, but is less suitable for addressing the theoretical foundations of feigning. That is, feigning serves to actively mislead others and is done deliberately. These characteristics produce experiences (e.g., feelings of guilt) in individuals who feign that lab research in its current form is unable to accommodate for. Paradigms that take these factors into account may not only yield more ecologically valid data, but may also stimulate a shift from the study of how to detect feigning to more fundamental issues. One such issue is the cognitive dissonance (e.g., feelings of guilt) that – in some cases – accompanies feigning and that may foster internalized fabrications. We present three studies (N's = 78, 60, and 54) in which we tried to abate current issues and discuss their merits for future research.

scholarly journals Extraction of Naturalistic Driving Patterns with Geographic Information Systems

2020 ◽  
Author(s):  
José Balsa-Barreiro ◽  
Pedro M. Valero-Mora ◽  
Mónica Menéndez ◽  
Rashid Mehmood
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Smart Cities ◽  
Spatial Scales ◽  
Geographic Information ◽  
Small Population ◽  
Driving Patterns ◽  
Valid Data ◽  
Naturalistic Driving ◽  
Definition Of

Abstract A better understanding of Driving Patterns and their relationship with geographical driving areas could bring great benefits for smart cities, including the identification of good driving practices for saving fuel and reducing carbon emissions and accidents. The process of extracting driving patterns can be challenging due to issues such as the collection of valid data, clustering of population groups, and definition of similar behaviors. Naturalistic Driving methods provide a solution by allowing the collection of exhaustive datasets in quantitative and qualitative terms. However, exploiting and analyzing these datasets is complex and resource-intensive. Moreover, most of the previous studies, have constrained the great potential of naturalistic driving datasets to very specific situations, events, and/or road sections. In this paper, we propose a novel methodology for extracting driving patterns from naturalistic driving data, even from small population samples. We use Geographic Information Systems (GIS), so we can evaluate drivers’ behavior and reactions to certain events or road sections, and compare across situations using different spatial scales. To that end, we analyze some kinematic parameters such as speeds, acceleration, braking, and other forces that define a driving attitude. Our method favors an adequate mapping of complete datasets enabling us to achieve a comprehensive perspective of driving performance.

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