bluuebunny/crossref_metadata_2025 huggingface dataset:
BEYAZ PEYNİR MİKROBİYOTASINDA KÜLTÜROMİK VE SHOTGUN METAGENOMİK TEKNOLOJİLERİN DEĞERLENDİRİLMESİ
Authors: CERİT Zeynep , BALOĞLU Mehmet Cengiz , YILMAZ Remziye
Published: April 2021

Omik teknolojiler; DNA, RNA, genler, proteinler ve metabolitlerin araştırılması için kullanılan araçlar ve metotlardan oluşan sistematik yöntemler bütünüdür. Son yıllarda mikroorganizmaların tanımlanmasında ve işlevlerinin belirlenmesinde genomik, transkriptomik, proteomik ve metabolomik alanlarda yapılan çalışmalar artış göstermektedir. Genomik ve transkritptomik çalışmalar kapsamında mikroorganizmaların genom dizilerinin belirlenmesinde ve gen ifade analizlerinde yeni nesil dizileme sistemleri ile biyoinformatik araçlar birlikte kullanılmaktadır. Bu çalışmada, beyaz peynirin taşıdığı toplam mikrobiyel yükün oluşturduğu beyaz peynir mikrobiyotasının belirlenmesinde, kültürden bağımsız bir yöntem olan shotgun metagenomik ile kültüre dayalı bir yöntem olan ve mikroorganizmaların tanımlanmasına olanak sağlayan kültüromik metotları üzerinde durulmuştur. Çalışma ile yakın gelecekte beyaz peynir gibi geleneksel gıda ürünlerinin yeni teknikler değerlendirilerek araştırılması gerekliliğinin önemi vurgulanmıştır. Kültüromik, metagenomik gibi yenilikçi teknikler, geleneksel gıda ürünlerinin mikrobiyota tanımlanması üzerinde daha az belirsizlik ile çalışılmasına olanak sağlayabilmektedir.
Prudence: essential virtue in the field of health
Authors: Donohue MD Miguel Oliveros
Published: April 2021

Prudence is very necessary in daily life and it is often necessary to cultivate it. His teaching has been emphasized since the Greek classics. We wonder if enough is taught at home, at school, during the study of medical sciences and we appeal to Haynes, Pellegrino and Maio in search of virtues, acts and clinical habits that link prudence with ethics and humanism. Prudence is all practical knowledge applicable and suitable for the direction of customs. In Greek it is called “fronesis” and in Latin it is called “prudentia”. Reference is made to the man who foresees, who knows in advance, who acts with cautious knowledge, the foresighted, reflective man.1–3 The Royal Spanish Academy defines it in three ways: Temperance, caution, moderation; Sanity, good judgement; and Cardinal Virtue that allows to distinguish good from bad.4
Hippocampal size did not differ between epileptic and non-epileptic dogs using volumetric and subjective methods
Authors: Lőrincz Borbála A. , Anson Agustina , Handschuh Stephan , Tichy Alexander , Rowan Conor , Lőrincz Balázs B. , Garamvölgyi Rita
Published: April 2021

Hippocampal changes in epilepsy may manifest as hippocampal atrophy/sclerosis. A recent human study suggests that the demonstration of hippocampal volume loss is more reliable using quantitative evaluation methods. The aim of the present study was to obtain volumetric data in both epileptic and healthy dogs, to compare hippocampal volumes in both groups, and to compare subjective and volumetric assessment. Volumetric measurements of the hippocampi, lateral ventricles and hemispheria were performed in 31 epileptic and 15 control dogs. There was a positive association between the body weight and the hemispheric volume, as well as between the hemispheric volume and the ipsilateral hippocampal volume. There was no significant correlation between age and the volume of any measured brain structures. There was no statistically significant difference between the hippocampal volumes of the control group and the epileptic group. A statistically significant difference between the two groups for hippocampus/hemispherium ratio or hippocampal asymmetric ratio was not identified. An extrapolated hippocampal volume based on body weight was not possible in this study population.
PENGEMBANGAN KONTEN PEMBELAJARAN IT PADA MASA COVID 19 BERBASIS TOTAL QUALITY MANAGEMENT
Authors: Minan Ahmad Khoiron , Afifah Eka Nur
Published: April 2021

Penelitian ini memaparkan tetaang pengembangan konten pembelajaran IT berbasis Total quality management yang dilakukan di SD Teladan Yogyakarta. Pada masa Covid 19 lembaga pendidikan dituntut untuk mampu memaksimalkan proses pembelajaran IT, dengan tujuan materi dapat tersampaikan dengan baik, akan tetapi pada kenyataannya banyak lembaga pendidikan yang tidak mampu dalam memaksimalkan teknologi IT dalam proses pembelajaran. Oleh sebab itu perlu adanya pendekatan yang baik dalam proses perencanaan pembelajaran IT, salah satunya adalah dengan Total Quality Management Penelitian ini menggunakan pendektakan kualitatif deskriptif dengan jenis studi kasus. Hasil penelitian menujukan bahwa SD Teladan Yogyakarta melakukan beberapa tahapan dalam pengembangan konten pembelajaran IT yang berbaisis Total quality management, tahpan tersebut antara lain, penentuan standar (input), hasil monitoring dan perbandingan dengan standar (proses), perbaikan penyipangan (output) dan usulan standar baru (outcome).
Comparison of Physical Fitness Index (PFI) between Spinning (indoor cycling) female practitioners and Zumba female practitioners using Modified Harvard’s Step Test: A pilot study
Authors:   Former student and intern, Deccan Education Society’s Brijlal Jindal College of Physiotherapy, Fergusson College Campus, Shivajinagar, Pune 411004, Maharashtra, India., Munagekar Apoorva Uday , Likhite Apoorva ,   Assistant Professor, Deccan Education Society’s Brijlal Jindal College of Physiotherapy, Fergusson College Campus, Shivajinagar Pune 411004, Maharashtra, India.
Published: April 2021

Background: With increase in awareness about the importance of physical fitness, there has been considerable increase in proportion of population indulging in various new emerging forms of exercises such as Zumba and Spinning. Purpose of study: To assess and compare Physical Fitness Index (PFI) between females practicing two newer forms of aerobic exercises Zumba (group 1) and Spinning (group 2) and to understand whether one aerobic activity has better PFI values over other and whether they can be used interchangeably. It will also create awareness regarding both the newer forms of aerobic exercise forms Zumba and Spinning and its effect. Method: Healthy females practicing either Zumba and spinning for one year regularly were chosen. Step board of height 33 cm, metronome, stopwatch used. Modified Harvard Step test was explained and then subjects were asked to do it. Results were calculated and scoring was done. Results and Main findings: The study showed that in (Group 1) Zumba practitioners 92.86% population had excellent PFI, 7.14% population had fair PFI. In (Group 2) Spinning practitioners, 100% subjects showed excellent PFI, Group 2 had evidently greater mean PFI than group 1 but not statistically significant. There was no statistically significant difference in PFI values between the subjects of two groups spinning and Zumba. Conclusion: Majority of the population of both the groups showed Excellent PFI. Both the newer types of aerobic exercise forms can be used interchangeably depending on the age of population. KEY WORDS: Zumba, Spinning, Modified Harvard’s Step test, Physical Fitness Index, Females.
PROFESYONEL FUTBOL KULÜP YÖNETİCİLERİNİN KULÜP YÖNETİMİNE İLİŞKİN AÇIKLAMALARININ İÇERİK ANALİZİ
Authors: TAŞTAN Hacı Şükrü
Published: April 2021

Araştırmanın amacı; profesyonel futbol kulüplerinin sportif ve finansal başarısızlıklarının nedenleri ile ilgili yaptıkları açıklamalarda kullandıkları ifadelerde geçen kavramları ve bu kavramların sıklıklarını analiz etmektir. Türkiye’de profesyonel futbol kulüp ekonomileri borçlu ve zarar veren bir ekonomik durumda olduğu ve uluslararası alanda sportif başarısızlıkları gözlemlenmektedir. Profesyonel futbol kulüplerinin yönetimi ile ilgili kulüp yöneticilerinin görüş ve düşünceleri incelenmiştir. Bu anlamda sorunun kaynağının ne olduğu araştırılmaya çalışılmıştır. Araştırma kongre, forum gibi spor toplantılarına katılan ve açıklama yapan kulüp yöneticileri ve spor otoriterleri üzerinde gerçekleştirilmiştir. Araştırmada nitel araştırma yöntemlerinden içerik analizi yöntemi kullanılmıştır. Profesyonel kulüp yöneticilerinin, düzenlenen ulusal ve uluslararası Kongre, Forum gibi sportif toplantılarda yapılan açıklamalarının içerik analizi ile açıklamalarında en çok geçen kavramlar ve sıklıkları tespit edilmiştir. Araştırma kapsamında 2016-2019 yıllarında gerçekleştirilen 6 uluslararası ve ulusal düzeyde kongre içerikleri incelenmiştir. Araştırmada 14 yöneticinin açıklamaları ele alınmıştır. Araştırma içerisinde kulüp yöneticilerine medya ortamında moderatörlerden sorulan sorular ve alınan cevaplardan yola çıkılarak bulgulara ulaşılmıştır. Sonuç olarak; Çalışmada ulaşılan açıklama içerikleri incelendiğinde katılımcılar, profesyonel futbol kulüplerinin futbol kulüplerinin sportif ve finansal başarısızlıklarının nedenlerini sırasıyla % 26,52 ile kulüp yöneticilerini, % 23,48 ile Kulüplerin ekonomik yönetimlerini, % 16,67 ile altyapı ihtiyacını ve altyapıdan oyuncu yetiştirmeyi, %14,39 ile TFF tarafından yapılması beklene ekonomik tedbirleri ve kulüplerin mali denetimlerini, % 12,12 ile Transferler ile yaşlı ve pahalı transferler, % 5,30 ile sonuncu sırada Devlet desteği görmektedir. Bununda devletin son zamanlarda spora, sporcuya ve tesisleşmeye verdiği önem ve yatırımlardan kaynaklandığı değerlendirilmektedir.
Lab protocol for assessing the spectral dependencies of the cortisol awakening response(CAR) and potentially related outcome measures for morning light exposure v1
Authors: Babilon Sebastian
Published: April 2021

Cortisol secretion has a fundamental role in human circadian regulation. The cortisol awakening response (CAR) can be observed as a daily recurring sharp increase in cortisol concentration within the first hour after awakening and is influenced by environmental light conditions. However, so far, the spectral dependencies of this process are still largely unknown. This research protocol therefore aims at establishing a fundamental methodology that allows for the exploration of the spectral dependencies of the CAR in a consistent and expedient manner. A concomitantly published laboratory report paper presents preliminary results applying this methodology and creates the base for future research on the spectral dependencies of CAR and potentially related outcome measures of emotional state and cognitive functioning.
An Analysis of High School Student's Understanding and Reasoning of Average Concept
Authors: Alaattin Pusmaz Özlem Engin,
Published: April 2021

The aim of this study is to identify high school student's understanding of average concept and the reasoning types they appeal to solve average problems. The case study approach was used in this study and the participants were selected by purposeful sampling. The participants consisted of five 9th grade and four 10th grade students, studying at a high school in Istanbul. In order to identify student's understanding of average, a test consisting of 5 open-ended problems were used and semi-structured interviews were held with each of the students. The data were analyzed by thematic analysis approach. For data analysis, framework proposed by Mokros and Russel (1995) was used to determine student's understanding of average and Lithner's (2008) framework was used to reveal their reasoning types. Results showed that students mostly understood average as mathematical point of balance. Creative mathematically founded reasoning and algorithmic reasoning was used the most. Creative reasoning is effective in reaching the right answer. In solutions where creative reasoning is used, students generally also have the idea of representativeness. The type of problem influences the reasoning process. Inadequacy of student's prior mathematics knowledge hinders both their understanding of the average and their reasoning skills.
100 Days of Muhyiddin’s Government Leadership: A Manifestation of the Continuity of Paternalism Values
Authors: Et. al. Lutfan Jaes,
Published: April 2021

This article attempts to describe Muhyiddin in leading the Pakatan Nasional Government (PN), especially in the era of Covid-19 pandemic management. It is traced through the role of Asian Values which are believed to shape the leadership character in his administration as the 8th Prime Minister of Malaysia. The stance on values and dimensions was referred based on the highlights of past literatures which stated that Asian countries have their own set of unique ideologies. It was then developed through the observation of one hundred (100) days of Muhyiddin’s administration. Content analysis was applied as a research design aimed at identifying and then describing his significant speech text passages. The analysis looks at Paternalistic Leadership in the tendencies of “Work Ethics”, “Society”, “Power Orientation”, and “Family” value dimensions. These four dimensions are often discussed by scholars in underlying the leadership style of Asian leaders. Data encoding was performed using the ATLAS software. The results show that Muhyiddin has indeed applied paternal values in governing. He managed to incorporate these values indirectly in the local wisdom of the community by manipulating those values by adapting to current needs. Muhyiddin does so with the soothing values of paternalism while shaping the development of the country more pragmatically and effectively. In conclusion, the restoration of the local wisdom values has become a factor driving the significant progress of Malaysia’s post-PH Government continuous development.
Fault identification in power cables by using travelling wave-based approach
Authors: Et. al. M.NagaJyothia,
Published: April 2021

Thefaults in the underground cables cause to generatetransients which propagate along the power cable as travelling waves. The velocity of the generated travelling wave and the time taken by a wave to reach the source point from the fault location enables us to calculate the fault distance value.In this paper a double endedtravelling wave based approach is used and a communication channel is designed to calculate the fault distance. A circuit-based model is developed in the EMTP-RV software to find out the fault distance from the source end for all types of faults. Further it is proved that the fault distance is unaffected by the change in ground resistance, various types of faults and the fault inception angle in the proposed method
Enhanced Pv Solar Power System Design with An Mppt Controller as A Function of Temperature
Authors: Et. al. I.Rahula,
Published: April 2021

In order to achieve optimum point tracking (MPPT) for the selection of the highest power consumption, the photovoltaic (PV) system was improved. The output power of the PV effect depends on external solar irradiation and the ambient temperature. In the existing MPPT approaches, most take only radiation fluctuations into account, with limited consideration of the consequences of temperature shifts. But the temperature coefficients (TCs), especially in applications where changes in ambient temperature are relative high, play an important role in the PV system. A correct study for the MPPT method was performed with a PV system which considers the temperature change using a variable universe fuzzy logic control (VUFLC). Taking account of the changing atmosphere temperature in photovoltaic panels, the proposed control method will regulate VUFLC contraction and expansion, removing the effect of temperature fluctuations and improving MPPT efficiency and thus achieving a quick and accurate tracking control. The proposed strategy was tested under different environmental conditions for a PV module and its control efficiency is compared with simulation and experimental results to other MPPT strategies. Compared with fossil fuels, the best alternative is to generate photovoltaic energy every day. In future, because of the above developments the thermal and nuclear power plant will probably withdraw. The cost of development and installation are rising in comparison with other renewable options. The article addresses a better configuration with an MPPT controller for a PV solar power system compared to other strategies dealing with the non-shaded, partial shading of variable sun-irradiance. This helps designers and maintainers build maintenance processes and phases.
Ecofriendly Antimicrobial Dyeing for Cotton Fabric Using Natural Extract of Marigold
Authors: Et. al. Dr. Suneeta,
Published: April 2021

The main drawback with microorganism's development on fabrics is associated with the maintenance of hygiene and fabric deterioration. In this present investigation a trial has been made to produce an attractive and vibrant textile with eco-friendly antimicrobial dyeing by marigold, a natural resource. Tagetes erecta universally recognized as Marigold is a remarkable source of carotenoids and lutein, grown as a lawn plant. Now a day, lutein is exploding into an indubitably predominant active fitting, employed as an element of the Drugs, Nutrients and Textile Industry. The prospective application of marigold as a characteristic of antimicrobial activity has not been accustomed fully. It is due to the lack of knowledge about its ability and resemblance in material manner. In this work, we have concentrated on the analysis, which was led to deliberate the use of distillate isolate of marigold as an antimicrobial. The antimicrobial competence of the extract was evaluated by coloring on cotton textiles. Testing of the dye ability, its wash quickness and light fastness was done. Educations have validated that antimicrobial coatings have not affected by laundering and shown enhanced colouring effect comprising of fastness to washing, perspiration and rubbing than conservatively dyed textiles. It revealed that the essence of Marigold flower is habitually employed for cotton fabrics as an antimicrobial finish. The samples show very encouraging ends up in terms of antimicrobial resistivity.
Energy Efficient Wireless Sink Node for Monitoring of Snow Environment
Authors: Et. al. Rajesh Kumar Garg,
Published: April 2021

Conventionally, sink node is considered to have large hardware and energy resources; however, many times sink node is working in same conditions as source nodes, especially when deployed for monitoring of the snow environment. In this paper, an effort has been made to practically realize a sink node which is energy efficient and cost effective for monitoring applications. To save energy, the Main Power Module is designed to provide controlled powers to sensors and sub-modules. The paper discusses design aspects of the sink node and its long-term field evaluation with environmental sensors, especially the Snow Depth Sensor of MaxBotix. Field performance of Snow Depth Sensor has been enhanced by Euclidean Minimum Distance filter which improved the correlation of data to 0.997. The proposed design helps to achieve energy consumption of 42.72mWh which is significantly lower than the previous work. The reliable working of the sink node in the long-term field evaluation indicates that snow environment can be monitored at less expense of energy by employing proposed sensors and the specially designed sink node.
Epilepsy Identification using EEG signal monitoring
Authors: Et. al. Ganesh Birajadar,
Published: April 2021

Electroencephalogram (EEG) is nothing but measuring electric activity of brain. EEG is non-stationary signal. EEG characterizes human behavior. There are many brain abnormalities that can be identified and treated using EEG behavior analysis. As per researchers study Epilepsy is commonly happening disorder that is getting spread over the time. It is nothing but sudden stroke in brain where patient suffers from unusual activities seizures. Sometimes symptoms are such severe that ignorance leads to death. So it is important to identify its earlier symptoms and treat it in time so as to avoid risk. EEG signals are used for getting features in time as well as frequency domain. These features are further analyzed and classified to identify EEG abnormality.
Students' perceptions of e-learning and its effects on student outcomes amid the Covid 19 outbreak
Authors: Et. al. AHMED Al-GHANIMI ,
Published: April 2021

The worldwide incidence of COVID-19 disease has risen significantly, as COVID-19 was declared a pandemic disease by WHO on March 11, 2020. Iraq declared the emergency condition, followed by the curfew, in response to the COVID-19 crisis. As a result, after the COVID-19 pandemic, educational facilities were closed and distance learning emerged as a new educational tool to ensure the continuity of education in universities.

With the emergence of the (Covid-19) epidemic in the world today, it has become difficult to collect students in one semester, so higher education in Iraq has become dependent on e learning in all its lessons. Therefore, this study was designed to know the student's outcomes after relying on e-learning and comparing it to the traditional method in education  and As well as to see the extent of students' acceptance of e-learning and whether it is considered a successful alternative to traditional education in light of COVID-19.
The Effect of the (Rothkopf) Model on Developing Conciliatory Thinking among Fourth-Grade Literary Students in History
Authors: Et. al. Murad Ahmed Khalaf,
Published: April 2021

After identifying the subjects of the subject to be studied in the course of the experiment by five subjects, and for the purpose of measuring the compromise thinking test for the two sets of subjects studied by the researcher himself, the researcher prepared a compromise thinking test, presented to a group of experts and specialists to verify the truthfulness of the test, to analyze its paragraphs and calculate its persistence, and after analyzing the results of the responses of female sample students and statistically addressing them using appropriate statistical means, he found that the test was all paragraphs of the test.

After the completion of the (11) week-long experiment, the Compromise Thinking Test was applied to the requests of the pilot and officer groups, and after statistical analysis and processing of female students' answers using the T test for two linked samples, a statistically significant difference was found between the average grades of female students in the two research groups. The results also showed that the difference is statistically significant and that this difference in compromise thinking is in favor of the experimental group for the test of remote compromise thinking.
Predict and Measure Air Quality Monitoring System Using Machine Learning
Authors: Et. al. D.Saravanan ,
Published: April 2021

This article looks at how artificial intelligence can help expect the hourly consolidation of air toxinSulphur ozone, element matter (PM2.5), and Sulphur dioxide. As one of the most excellently procedures, AI can efficiently prepare a model on a large amount of data by using large-scale streamlining computations. Even thoughseveral works use AI to predict air quality, most of the earlier studies are limited to long-term data and easilyinstruct regular relapse designs (direct or nonlinear) to expect the hourly air pollution focus. This paper suggestsadvanced analysis to simulate the hourly environmental change focus based on previous days' weather-related data by calculating the expectation for more than 24 hours as an execute multiple tasks learning (MTL) issue. This allows us to choose a suitable model with a variety of regularization strategies. We suggest a useful regularization that maintains the assumption patterns of concurrent hours to be nearby to each other, and we evaluate it to a few common MTL expect completion such as normal Frobenius standard regularization, normal atomicregularization, and '2,1-standard regularization. Our tests revealed that the suggested boundary declining concepts and constant hour-related regularizations outperform open product relapse models and regularizations in terms of execution.
“Effectiveness Of Cfg Pile-Slab Shape On Smooth Soil For Supporting Excessive-Pace Railway Embankment”
Authors: Et. al. Rajni Sharma,
Published: April 2021

Reducing the settlements of smooth foundation efficiently is a crucial problem of excessive-pace railway creation in China. The new CFG pile-slab structure composite foundation is a floor remedy method that is carried out on CFG pile basis and pile-slab structure composite basis. Based on the revel in of constructing Beijing-Shanghai excessive-pace railway in China, the settlement-controlling effect, the settlement distribution legal guidelines and 3 key influence elements for structural shape of latest CFG pile-slab structural foundation are studied by the use of physical model exams and numerical simulations. The research results on this look at imply that the piles and soil bearing capacities of the new CFG pile-slab shape can be positioned into complete play due to the “load dispensing” function of slabs. The settlement decreasing effect of the new CFG pile-slab shape is first rate and can meet the requirements of high-pace railway creation. The affected location of engineering load has a depth over 18.Seventy five m and horizontal period of 7.Five m nearing the embankment slope toe. The parametric observe presents the optimalizing structural form for high-quality agreement-controlling effect. The bodily version test results display precise concordance with the numerical simulation effects. The mixture of bodily version assessments and numerical simulations justifies the usage of this version in geotechnical engineering practices.
A NewSpeed Power Area and Accuracy (SPAA) Aware Cordic Processing Unit By Vedic Mathematics For The Application of Computer Vision
Authors: Et. al. Nitesh Kumar Sharma,
Published: April 2021

we are living in the era of fast processing applications like 3D, 5G, 9D. These types of application need a processing unit which have separate arithmetic unit & separate trigonometric unit which is well known as CORDIC processing unit. As we know Graphics processing unit is the brain of any graphics systems now a days there is Gaming specific systems are available which require ultra-high-speed GPU on those GPU there is separate trigonometric calculation processing unit is there which is called CORDIC. So, in this paper basically we proposed a novel architecture of CORDIC unit which is able to give the output in very less time. In this paper we also try to do the justice with the speed power area and accuracy Metrix.
Yield and quality of carrots when using the Gumiton organo-mineral complex in conditions of radioactive contamination
Authors: Et. al. Ratnikov A. N.,
Published: April 2021

The aim of this work is to assess the impact of Gumiton peat-based organo-mineral complex on the productivity and quality of carrots and the transition of 137Cs from soil to root crops under conditions of radioactive contamination. According to the results of field experiments on gray forest and soddy-podzolic soils of the Kaluga region of Russia, it is shown that leaf treatment with Gumiton of carrot plantings in different phases of crop development increases the yield of root crops by 20-40%, depending on the variety, soil type and agricultural background. Analysis of studies in the growing experiment on soddy-podzolic soil showed that Gumiton treatment increases the yield of carrots by 30%. The rate of decrease of 137Cs content is 1,2-1,25 times. Gumiton is a highly effective preparation for carrots, which increases the productivity and quality of the crop and helps to reduce the intake of 137Cs in root crops in radioactively contaminated areas.
Classifying Multilingual Text in Quality Assurance
Authors: Et.al Sze Pei Tan
Published: April 2021

Machine learning systems play an important role in helping and assisting engineers in their daily activities. Many jobs can now be automated, and one of them is in handling and processing customers’ complaints before they could proceed with failure investigation. In this paper, we discuss a real-life challenge faced by the manufacturing engineers in a life science multinational company. This paper presents a step by step methodology of multilingual translation and multiclassification of Repair Codes. This solution will allow manufacturing engineers to take advantage of machine learning model to reduce the time taken to manually translate row by row and verify the Repair Codes in the file.
Japanese Students’ English Language Learning Experience through Computer Game-Based Student Response Systems
Authors: Et.al Kew, S. N.
Published: April 2021

Technology has been vastly used in learning context for the purpose of enhancing students’ learning performance. The integration of computer in language teaching and learning is growing. In particular, the computer game-based student response systems such as Kahoot! application is implemented by some educators in their teaching classesto improve students’ learning experience. Meanwhile, collaborative learning plays an important role in teaching and learning practice. Thus, this paper aims to examine the use of Kahoot! application integrated with collaborative learning approach influences the learning experiences of Japanese students in English language classroom. An experimental research approach was conducted to study how Kahoot! application is affecting the learning experiences of Japenese students. Student engegement observation checklist and feedback form were used as the research instruments in this study. The population comprised 20 Japanese students who enrolled in English language classroom participated in this experiment. The findings show that Kahoot! integrated with collaborative learning approach made positive impact on students by contributing to better engagement and enhanced learning experience of students. This study can be a reference for instructors who plan to implement game-based student response systems and collaborative learning in English language classroom.
Green Software Process Assessment: The Theoretical Framework
Authors: Et.al SitiRohana Ahmad Ibrahim
Published: April 2021

Many differentdomains such as engineering, education and health apply green development through sustainability concept.The aim is to ensure the product and services are still relevance and applicable for the next generation. Previously, they were three common pillars of sustainability elements which were economic, social, and environmental. The technical and individual elements were added later to evaluate the software system. Yet, effortsare made to achieve green development process by reducing wastes and to preserve the environment.Most studies targeted on greenness of software products and less consideration on green in software processes. In this study, focus is given to ensure and guarantee green in software process activities. This paper presents the background works on existing studies in green software process and related. Further, it presents the theoretical framework that is based on literature findings and will be the groundwork of this study. The theoretical frameworkdefined consists of software process, green context, and assessment method. The elements of sustainability and waste reduction will be identified further.
The Internet of Things Readiness in Public Organization: Descriptive Analysis
Authors: Et.al Norjanah Sulaiman
Published: April 2021

The Internet of Things (IoT) is a system of interrelated computing devices.  IoT involves mechanical and digital machines, objects, animals or people that are indicated with unique identifiers and the ability to transfer data over a network without requiring human-to-human as well as human-to-computer interaction.  Government of Malaysia in 2015 has introduced the National Internet of Things Strategic Road Map as a way to provide the backbone of modern and smart cities as well to sustain the economic growth.  However, the factors influencing IoT readiness in Malaysian organization needs to be further investigated. The purpose of this study is to investigate, identify and propose the readiness factors of IoT implementation.  A survey involving a distribution of questionnaire to 30 respondents to get a descriptive indication coupled with interviews with 5 key expert employees from relevant agencies were executed. As a result, there are five factors being proposed and validated descriptively to influence the readiness of implementing IoT in Malaysia.  These factors are Human Perspective, Technology Perspective, Governance and Management Perspective, Security Perspective and Policy and Law Perspective. For future work, this study suggest to include more participants using power statistics, hypothetical model testing and expand the questionnaire to other organization in order to develop a more comprehensive result ofIoT readiness in Malaysia.
Ambi Detect: An Ambiguous Software Requirements Specification Detection Tool
Authors: Et.al Osman, M.H.
Published: April 2021

Software Requirements Specification (SRS) is considered a highly critical artifact in the software development. All phases in software development are influenced by this artifact. Defects in software requirements may higher the risk of project overschedule that contributes to cost overrun of the project.Researchers have shown that finding defects in the initial software development phase is important becausethe cost of the bug is cheaper if it is fixed early. Hence, our main goal is to provide a platform for requirement engineers to produce better requirement specifications. We propose AmbiDetect, a (prototype) tool toautomatically classify ambiguous software requirements. AmbiDetect combines text mining and machine learning for ambiguous requirement specification detection. The text mining technique is used to extract classification features as well as generating the training set.AmbiDetect usesa machine learning technique to perform the ambiguous requirement specification detection. From an initial user study to validate the tool, the result indicates that the accuracy of detection is reasonably acceptable.Although AmbiDetect is an early experimental tool, we optimist that this tool can be a platform to improve SRS quality.
An Approach for Selecting the Suitable Requirement Elicitation Technique
Authors: Et.al Ibrahim Hassan Hussein
Published: April 2021

Requirements elicitation is an initial phase in software development. In this phase, requirements engineers gather the requirements of the software under development from users, stakeholders and customers. The techniques used for gathering requirements have a big influence on the quality of requirements and the success of project. Many requirements elicitation techniques (RET) such as: interview, prototype and observation can be used for requirements gathering process. However, one technique is not suitable for all different projects. Usually requirement engineers select the RET based on personal preferences and assumptions such as; this is the only technique which they know. However, this subjective decision can result in using inappropriate RET. Using unsuitable RET may decrease the quality of elicited requirements. Even though researchers have proposed many techniques for elicitation, one of the challenging issues is to choose the suitable RET for specific situations. The purpose of this paper is to help requirement engineers to choose suitable RET. To do that firstly, we identify factors that affect in selecting RET. Secondly, an approach to select suitable RET is proposed. Thirdly, a prototype is developed to help requirements engineers and to ease the process of selectingelicitation technique. Lastly, experts evaluate the proposed approach and the prototype.
Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection
Authors: Et.al Ismail, S
Published: April 2021

Crowd-vote has implemented as a part of a university program recommendation system, complementing the aspect of knowledge management.  The recommendation system is developed to support freshmen students’ decision making during program selection and uses for first time of enrolment.  The challenges of decision-making among students is formed by many influential factors like family, agents, universities and others.  Popular decision making models include rational, intuitive, among others. Rational models have series of sequential steps that involve a thinking process, while intuitive models are more on people experiences and recognition of the pattern based on what people believe and think how it will work.  Other models attempt to combine both rational and intuitive aspects of decision. The challenge is foreseen in capturing experts’ opinion as part of students’ decision making, since experts are the good source of knowledge to strengthen the process.  A prototype is developed for this purpose and constructive feedback from experts and students were collected to examine the significant use of crowd-vote using questionnaire survey. The objectives of this paper are to investigate the use of crowd-vote in leveraging decision making, and to evaluate the implementation of crowd-vote in supporting decision making during program selection.  The results from expert opinions and students’ evaluation are discussed.
The Development of Mobile Augmented Reality Application to Facilitate High School Students with Various Learning Strategies in Learning History
Authors: Et.al Azrina, K
Published: April 2021

Augmented Reality is a demanding feature that widely embeds in our mobile devices. With the current mobile networks this feature will be increasingly accessible in many areas such as education. The current situation in learning history is boring and unattractive to high school students. In addition, the current history books as well as additional revision books are very textual and contain less pictures.The aim of this paper is to describe the mapping of the different learning styles that the students have employed onto the AR mobile application in learning history. The mapping should facilitate all learning styles so that learning history becomes more interactive and engaging.
The Correctness of Service in Runtime Adaptation for Context-Aware Mobile Cloud Learning
Authors: Et.al Sufri Muhammad
Published: April 2021

Service-Based Applications (SBAs) have become increasingly pervasive. These applications rely on the third-parties services available on the cloud, and services must be aware of and adapt to their changing contexts in highly dynamic environments. SBAs with context-aware capabilities have provided the users with personalized services based on their user's (intrinsic) and device's (extrinsic) contextual information, as well as the Quality of Services (QoS). The correctness of service substitution in runtime adaptation is substantial for the continuity of user activity on the system. In Mobile Cloud Learning (MCL) environment most works only focus on intrinsic context factors such as learner's profile, learner's location, etc. We then introduce a comprehensive Dynamic Service Adaptation of Context-Aware Mobile Cloud Learning (DACAMoL), which is designed to reason for bothcontextual factors and QoS inservice discovery, ranking, and selection. The framework represents the contextual information, service descriptions, and QoS using a semantic-based approach to improve the correctness of service substitution. In this paper, wepresent a quasi-experiment study to demonstrate the DACAMoL framework with a mobile app called Mudahnya BM. Mudahnya BM is a learning app to learn basic knowledge of Malay language that build using RESTful backend services. The study involved 30 participants and 33 randomized scenarios tested using One-Sample Wilcoxon Signed Rank test. The results show significantly better service substitutions with 32 out of 33educational servicesare correctly adapted (i.e. 95% of the population).
Examining Teachers Acceptance of Exam Building Crowdsourcing Platform through the Utaut Model: The Case of Krumun.Org
Authors: Et.al Khalizul Khalid
Published: April 2021

The 21st-century learning demands for teachers to become a central agent in fostering various skills to students. Concurrently, teachers were also encouraged to utilize ICT in scaling up learning quality. In support of this initiative, this study introduced a crowdsourcing platform called Krumun.org developed specifically for Malaysian teachers. This exam-building crowdsourcing platform enables teachers to create, edit, and share assessment instruments. However, whether teachers will use the platform will depend on their acceptance of this new technology. Therefore, the main objective of the study is to determine teachers' acceptance factors in regards to the use of this crowdsourcing platform through the Unified Theory of Acceptance Use Technology (UTAUT) model. Questionnaires were distributed to 155 teachers who participated in Krumun.org trial launch. Partial least squares (PLS) was employed to analyze the research model through Smart-PLS 3. It is conclusive that performance expectancy (PE), self-efficacy (SE), and facilitating conditions (FC) affect behavioral intention to accept the crowdsourcing platform, Krumun.org. However, there was not enough evidence to support Effort Expectancy. Therefore, to increase the number of teachers utilizing this platform, these three factors should be prioritized. The findings of the study could also be of assistance to any related party that was planning to introduce new technology to teachers.
The Shari’ah Compliance Spa for Wellness and Tourism Context in Malaysia
Authors: Et.al Nor Dalila Marican
Published: April 2021

Spa, Tourism and Wellness are a relatively new trend that has registered an impressive growth rate. The spa market has turned into the fastest growing leisure sector which provide facilities as venue to improve a person’s health and well-being. In Malaysia, Shari’ah compliance spa has increasingly becoming an important marketing strategy which attract customers in the context of wellness industry. This is parallel with the growing demand for products and services that comply with Islamic law with consideration trend nowadays. Thus, there are specific criteria for the spa sector to be complied for a Shari’ah compliance. The Shari’ah compliance elements practiced by Islamic Spa Practices (ISP) include the usages of Halal Products; Gender Segregations in Treatments and Procedures, as well as Physical Construct Elements. The five vital elements of Maqasid Shar’iyyah which were Protection of Religion (Al-Diin); Protection of Life (Al-Hayah); Protection of Mind (Al-‘Aql); Protection of Dignity (Al-Muru’ah); and Protection of Wealth (Al-Mal) considered in delivering the Shari’ah Compliance Spa. To date, there is no much framework that elaborates the Shari’ah compliance spa that includes the ISP practices and Maqasid Shar’iyyah elements. However, an initial framework of Sha’riah compliance spa is developed based on the Muslim-friendly hospital services
Design of 16-Bit SAR ADC Using DTMOS Technique
Authors: Et.al Yarlagadda Archana
Published: April 2021

This paper presents a 16-bit 100MS/s SAR ADC with 1V power supply for biomedical implant systems developed with low power technique i.e., DTMOS logic. It consists of a R-2R DAC, low-power comparator, a digital SAR logic with low-leakage. The designed comparator is a differential architecture that has used to have an excellent, common-mode noise rejection. Comparator was created for proper operation to remain in saturation and could be used with differential amplifier. The comparator is the chief block of power consumption, so we focused mainly much of ability we make to design this module. The ADC is designed using Cadence virtuoso with CMOS 45nm technology. For SFDR, SNR, ENOB and power consumption, the converter utilizes 63.97dB, 51.06 dB, 15.15 and 528.8uw.
Assessing Impact of Liberalization on Financial Performance Sustainability of Indian Pharmaceutical Industry using Structure Conduct Performance Model
Authors: Et.al Dr. Pankaj Talreja
Published: April 2021

The Indian Pharmaceutical Industry is ranked third largest by volume and fourteenth by value. It thus accounts for 10% of world’s production by volume and 1.5% by value according to Department of Pharmaceuticals, Government of India. Recognizing the immense potential for growth of Indian pharmaceutical industry and its direct impact on Indian economy the present paper tries to analyze the market structure of the Indian pharmaceutical firms and assess how the sustainable profitability of firms is affected using structure conduct performance model. The study founds out the sustainable profitability is statistically related to firm size, export and import, raw material expenses, power use and wage intensity but there seems to be insignificant effect of market share and mergers and acquisition on firm’s performance in terms of sustainable profitability.
Reliability and Validity of Compulsive Buying Scale Without Middle Point
Authors: Et.al Santanu Choudhury
Published: April 2021

Objective: The study aims at finding out the affect of reliability and validity for the compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale without middle point.

Methodology: Responses across 5 to 9 point scales are obtained to calculate the reliability and validity of compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale. Cronbach’s alpha is used to measure the internal reliability of the scale. To compare the reliability coefficients among different scale points Feldt test and Hakstian-Whalen test are used. Convergent validity for measuring inter-correlations between scales with different numbers of response categories is used and Fisher’s –r to –z transformation is used to test population correlation coefficient.

Conclusion: From study it is concluded that there is no change in reliability and validity when the middle point is dropped from the compulsive buying scale.
The Influence of Service Quality, Emotional Marketing and Spiritual Marketing On Customer Satisfaction
Authors: Et.al Ida Hindarsah
Published: April 2021

This study aims to determine the effect of service quality, the influence of emotional marketing, the effect of spiritual marketing, on satisfaction, and to know the three variables jointly affect customer satisfaction. This research is a quantitative research. With a questionnaire instrument distributed to 90 customers. Statistical test using classical assumption test, hypothesis testing using regression analysis test multiple test T test, F test and R test the coefficient of determination. The results showed that service quality, emotional marketing and spiritual marketing each had a significant positive effect on customer satisfaction. Then the quality of service, emotional marketing and spiritual marketing simultaneously have an effect on satisfaction
Quantitative Easing In Overcoming the Crisis: Criticism ofQeinthe Monetary System Of Capitalism
Authors: Et.al Aang Kunaifi
Published: April 2021

This study aims to describe the form of Quantitative Easing applied by the Central Bank as well as qualitatively measure its benefits and excesses. To obtain a description and know the benefits and excesses in question, the research approach uses a qualitative approach by conducting a literature study of several facts and quantitative easing studies by Bank Indonesia and the Fed from various literature and media inductively relevant theories. This study's findings show that excesses can be detrimental to society, and countries that are shariah are harmful that should be avoided. This research is expected to encourage further research to determine the correlation of Quantitative Easing policy to the resolution of economic crisis and obtain alternative solutions by implementing the Islamic monetary system.

The impact of the covid-19 pandemic that continues to this day causes economic shock, the slowing flow of goods commodities, decreased production, and decreased purchasing power of the community. Various policy efforts are carried out through fiscal stimulus as well as support through monetary policy in the form of quantitative easing.