Reviewerly/exHarmony huggingface dataset:
Proceeding The 1st Almuslim International Conference on Science, Technology, and science

welcome all participants of the 1st Almuslim InternationalConference on Science, Technology, and Society (AICSTS). This conference is held at our beloved campus of Almuslim University (Umuslim), Bireuen, from November 7th to November 8th, 2015. Almuslim University, the home of 7 faculties, is one of the major private universities in Aceh. We are assured that the 416 scientific participants will contribute to productive discussions and exchanges of scientific experiences that will bring about success to this conference. Participants from 9 countries, Indonesia,Malaysia, Thailand, Philippines, United States, India, Taiwan, England, and Qatar, have optimally markedan international scope to the conference.
Energy Optimized Workflow Scheduling in IaaS Cloud: A Flower Pollination based Approach

The energy consumption of cloud data centers is a critical concern that could affect both the environment and the availability of energy resources. For this, the global community and industries are taking measures to address this issue that is caused by the high electricity consumption of servers, Heating, Ventilation, and Air Conditioning (HVAC) in the data centers. With this context, this paper presents a novel approach for scheduling energy-efficient workflows (EEWS) in cloud computing using the MaxUtil model. The proposed approach incorporates the flower pollination algorithm (FPA), a popular meta-heuristic algorithm inspired by nature. The primary objectives of the proposed scheduling scheme are to minimize energy consumption and workflow processing time (makespan). The proposed algorithm involves two key phases: (i) assigning tasks to available virtual machines (VMs) and (ii) scheduling the tasks based on optimal criteria. As per our knowledge, this is the first study that focuses on optimizing energy consumption and makespan in cloud computing workflow scheduling using FPA. The proposed approch employs an effective representation of pollen and dynamic fitness function with multi-objective. The advantage of FPA lies in its speed of convergence and providing feasible solutions. Extensive studies have been conducted across five different scientific workflows from various fields. The proposed algorithm outperforms traditional workflow scheduling algorithms based on particle swarm optimization (PSO), gravitational search algorithms (GSA) and genetic algorithm (GA). The proposed algorithm outperforms GA, PSO, and GSA in the majority of cases, according to simulation findings. In addition, a well-known statistical test known as variance analysis (ANOVA) is used to validate the experimental results of the suggested algorithm. Based on the result’s of ANOVA test, the article claims that the suggested algorithm is superior to existing methods.
Blockchain Based Real-Time Contact Tracing – A Secure Way to Mitigate Highly Infectious Diseases

Contact tracing is an effective, data driven infectious disease control strategy that involves identifying cases of active virus carriers and their contacts in restricting further disease transmission. Despite the effectiveness of this strategy, there are serious concerns regarding the privacy and security of data that are collected in this process as individuals give up control over those data. This study aims to provide some building blocks for developing a secured blockchain-based mobile application for contract tracing to strengthen the infectious disease mitigation approach. It also attempts to understand the contrasting perspective of different stakeholders involved in the data collection process through stakeholder survey and their willingness to share/store identity and health-related data in a blockchain-based app. Finally, we suggest a framework in developing an app to automate contract tracing in a private, secure, maintainable environment. This study helps create a strategic roadmap for developing a secured contact tracing platform to mitigate highly communicable diseases.
Analysis of financial fraud cases based on Fraud Triangle Theory

In recent years, the frequent occurrence of financial fraud in listed companies has caused a huge impact on enterprises and investors.In this paper, Beijing Blue Mountain Technology Co., LTD. (hereinafter referred to as "Blue Mountain Technology") as an example, through the fraud triangle theory, from the pressure, opportunity, excuse three aspects of in-depth analysis of the financial fraud of Blue Mountain Technology motivation, and put forward targeted preventive measures.
Prospective Empirical Study on the Determinants of Bitcoin Price Formation (Case Study on Morocco)

Despite being illegal in Morocco, bitcoin has gained great popularity in Morocco. However, in recent months, the Moroccan monetary authorities have set up two commissions to deal with crypto assets. The purpose of these commissions was to monitor international financial trends (in particular crypto assets). The current work will put forward a prospective study on the determinants that forms the price of bitcoin in Morocco, provided that the Moroccan monetary authorities would decide the legalization of the use of crypto assets. In an ARDL approach, an econometric model is applied to variables that reflect, not only all the factors related to the traditional currency, but also to variables that reflect specific factors to bitcoin over an eight-years period. This prospective study has highlighted that the frequency of bitcoin search on Google Trend, the number of bitcoins in circulation and the exchange rate between the Dollar and the Moroccan Dirham represent the main indicators that explain the formation of the price of bitcoin in the national territory.
Constraint Guided Autoencoders to Enforce a Predefined Threshold on Anomaly Scores: An Application in Machine Condition Monitoring

Anomaly detection (AD) is an important task in a broad range of domains. A popular choice for AD are Deep Support Vector Data Description models. When learning such models, normal data is mapped close to and anomalous data is mapped far from a center, in some latent space, enabling the construction of a sphere to separate both types of data. Empirically it was observed: (i) that the center and radius of such sphere largely depends on the training data and model initialization which leads to difficulties when selecting a threshold, and (ii) that the center and radius of this sphere strongly impacts the model AD performance on unseen data. In this work, a more robust AD solution is proposed that (i) defines a sphere with a fixed radius and margin in some latent space and (ii) enforces the encoder, which maps the input to a latent space, to encode the normal data in a small sphere and the anomalous data outside a larger sphere, with the same center. Experimental results indicate that the proposed algorithm attains higher performance compared to alternatives and that the difference in size of the two spheres has a minor impact on the performance.
Computers in the Classrooms of an Authoritarian Country: The Case of Soviet Latvia (1980s–1991)

Our study focuses on the time when the subject ‘Informatics and basics of computing techniques’ was introduced in Soviet secondary schools’ curriculum during Gorbachev’s perestroika in 1985. The sources of our research were reflections on computing and informatics studies in the Soviet press, as well as interviews with early informatics teachers and students. The story of the entering of the computer into the classroom of one Soviet republic - Latvia - reveals the introduction of major innovation in everyday school life: how the need for innovation is explained and justified in the authoritarian country, and how it is accepted by educational consumers and innovation subjects - students, teachers and society in general; what changes in the socialization process of schooling accompany innovation: how innovation processes accumulate unintentionally transmitted values, belief systems and relational norms, and how innovation can generate social agreements “not to see” what is in hidden in plain sight - a hidden curriculum, the inevitable companion to schooling.
THE EVALUATION OF VIRTUAL TUTORING IN AN ENGLISH DEGREE BEFORE AND DURING COVID-19

This research presents results of the evaluation of virtual tutoring before and during COVID-19 at the higher level.The objective of this research is to document the points of view of the tutors and tutees of the Bachelor's program in English virtual mode through a SWOT study to evaluate the tutoring program in the Bachelor's Degree in English (LI) virtual modality.The research questions are: How are virtual tutoring being delivered?, What are the strengths of virtual tutoring?, and What are the weaknesses of virtual tutoring?, Has virtual tutoring improved during the COVID-19 pandemic?A mixed methodology was contemplated.In the qualitative part, the current situation of virtual tutoring is described and interpreted, and the points of view of tutors, tutees and the coordination of Tutoring are reflected.In addition, the quantitative information was obtained through the application of questionnaires applied with Google forms and data analyzed with the SSPSS program.The opinion of ten virtual tutors before the pandemic and 7 virtual tutors during the pandemic, and 27 students with an initial, intermediate, and final school trajectory, and two tutors within the tutoring coordination (PAT) at the School of Languages were considered.The research considers two moments, the first before the Covid-19 pandemic in 2019 and the second during the pandemic considers the entire year of 2020 and the first half of 2021.Finally, reflections and suggestions are presented for the improvement of virtual tutoring.
Profiling radar signals based of pulse-to-pulse frequency agility

It is well known that the application of radar is becoming more and more popular with the development of signal technology progress. Therefore, this paper presents a first-stage process for radar signals analysis involving four different radar signals based on pulse-to-pulse frequency Agility. The radar signals include a normal radar signal (NRS), frequency hopping radar signal (FHRS), 2-frequency shift keying radar signal (2FSKRS), and a combination of frequency hopping radar signal (FHRS) and 2-frequency shift keying radar signal (2FSKRS). The process of modeling and generating the radar signals is presented and thereafter, results on the outcome of this process and their implications are discussed. It is observed from the obtained results of an accurate depiction of key parameters of pulse width (PW) of 1 µs and frequency of 10 MHz of the radar signals among others, that the developed models of the radar signals are feasible for further analysis using robust model signal processing tools such as time-frequency analysis can be used. Hence, these models can be used in practical radar signal analysis such as electronic intelligence (ELINT) and electronic warfare support (ES).
The Effect of Self-Confidence Towards Public Speaking on Students of Islamic Education Study Program, Universitas Muhammadiyah Purwokerto

Students of the Islamic Religious Education Study Program should have good public speaking skills because students will become PAI teachers. Public speaking is the ability to speak in public using language that can be understood by listeners. Public speaking can be influenced by self-confidence, so students must have high self-confidence because it is intended that the ability to speak in front of many people goes well without feeling embarrassed, feeling awkward, and much more. This study aims to examine the effect of self-confidence on public speaking for students of UMP Islamic Education Study Program. This study used a simple random sampling technique as many as 181 students in the UMP Islamic Education Study Program. The data collection method uses a public speaking scale with a reliability of 0.941. Confidence scale with reliability of 0.902. The analytical technique used is simple linear regression analysis with SPSS version 25 program. The results of the study show that the F value is 626,992 with a t value of 25,040, the significance value (p) = 0.000 (p &lt; 0.05), meaning that the proposed hypothesis can be accepted. with an Rsquare value of 0.778. This shows that self-confidence has an influence of 77.8% and 22.5% is influenced by other factors outside the study.
Analysis of the Level of Satisfaction of Darwinbox Application Users at PT Nippon Indosari Corpindo Tbk Using the End User Computing Satisfaction (EUCS) Method

The Darwinbox Personnel Information System is one of the developments in information technology in the staffing system that is utilized by PT Nippon Indosari Corpindo Tbk to assist the work of its employees in facilitating and assisting in carrying out attendance, applying for leave, changing personal money used for office purposes (reimbursement). The purpose of this study was to determine user satisfaction with the Darwinbox application at PT Nippon Indosari Corpindo Tbk and measurements were carried out using the End User Computing Satisfaction (EUCS) method. This research was conducted at PT Nippon Indosari Corpindo Tbk on 96 respondents. The results of the calculation of the T hypothesis test obtained the value of the Content variable (X1) sig. 0.000, Format (X3) value sig. 0.000, Ease Of Use (X4) sig. 0.000 where the sig. value of 0.05 can be concluded that the independent variable (X) has no partial effect on the dependent variable (Y). Simultaneously Content, Accuracy, Format, Ease Of Use and Timeliness have a significant effect on user satisfaction and have a very strong relationship with user satisfaction with a percentage value of 82.4%.&#x0D;
Future of Database System Architectures

Over the past two decades, we have experienced major technology disruptions on multiple fronts, none bigger than the emergence of cloud computing, which has led to fundamental changes in how database software is architected. We are seeing several new trends that are similarly shaping the future of data management.
Mixed Methods Machine Learning

Machine learning is ubiquitous: many of our everyday interactions, both online and offline, are backed by machine learning. Typically, machine learned systems start as an idea from the business or engineering team for a service or an app that helps the customer achieve a goal. The app is built iteratively, starting with the minimum lovable version, and undergoes several rounds of improvements to become more sophisticated. Success is measured with an online A/B test on live traffic, on the assumption that if customers engage with the app, it is serving their needs.
Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA)

HILDA brings together researchers and practitioners to exchange ideas and results on human-data interaction. It explores how data management and analysis can be made more effective when taking into account the people who design and build these processes as well as those who are impacted by their results. Following last year, we plan to continue to focus on this year's workshop on early-stage research that is promising and exciting. A core part of this plan is that every paper gets a mentor. The theme for this edition of the workshop is commodifying human-in-the-loop data analytics, i.e., making systems ready for end-user consumption. However, the workshop is not limited to this theme and other topics are also of interest. In this summary, we describe the workshop, its main focus areas and our review and mentorship plan.
Online Marketing of Herbal Medicines and Supplements (Case Study of Farah Shop, Banjarmasin)

The business of selling medicines and herbal supplements at Farah Shop was pioneered in mid-2017 by Farah Putriana as the official distributor for several brands such as HDI, DXN, Herbalife, and so on. Products sold include cough medicine, slimming medicine, honey, and so on. Farah's shop is located at Jalan Sultan Adam, Taekwondo complex Permai line III no. 7 Surgi Mufti Village, North Banjarmasin with telephone number 081254545594. The management of recording the purchase and sale of drugs and herbal supplements uses a semi-computer system by recording on a spreadsheet application, some business problems at Farah's shop such as the slow preparation of profit reports from the sale of medicinal and herbal supplement products, difficulties in obtaining final inventory reports of medicinal and herbal supplements, marketing of medicinal and herbal supplement products is still limited because prospective buyers must come in person or ask product questions to the admin using the Whatsup application, with With the rapid development of the internet at this time, the owner of Farah Shop considers it necessary to make better use of this technology by creating an online application where prospective buyers can view and choose the medicine or herbal supplement that they will buy directly. This will increase sales from the Farah Shop business. Another problem is that making reports on the total sales and purchases of medicines and herbal supplements which are carried out every month is constrained by time and effort due to the absence of a good computer system. Difficulties in seeing the final stock of drugs or supplements so that orders from buyers are often not fulfilled, research will make applications using MySQL and PHP databases with a general description of providing online sales services, which can serve buyers who come directly to Farah's shop or who will buy directly via the internet online. The application made can store buying and selling data of drugs and herbal supplements in the database. The application can quickly generate reports on the remaining stock of medicines and herbal supplements, as well as generate reports on the purchase and sale of medicines and herbal supplements at the Farah Banjarmasin Shop which can be viewed daily, weekly and monthly
Study of TEC Depletion during Low Solar Activity Periods of 23rd and 24th Solar Cycle at Crest of Indian EIA Region

The Total Electron Content (TEC) depletion near the equatorial ionization anomaly crest region in the Indian ionospheric sector has been analyzed during the year March 2005 to February 2006, and May 2016 to August 2017, low solar activity periods of 23 rd and 24 th solar cycle respectively.TEC data from March 2005 to February 2006 is recorded by GPS Ionospheric Scintillation and TEC Monitor (GISTM) GSV4004A and data from May 2016 to August 2017 is obtained from a multifrequency multi-constellation Global Navigation Satellite System (GNSS) receiver installed at Bhopal (23.2 °N, 77.4 °E & MLAT 14.8 °N).TEC depletions have long been recognized as one of the most prominent concerns of space weather as they produce intense scintillation in trans-ionospheric satellite radio signals.All the TEC depletion in the present study occurred in pre-midnight hours and they are more frequent in equinox months during both solar cycles.Among all the events, the severe depletion in TEC was observed on magnetically disturbed day i.e. on 25 October 2016 which may be due to the occurrence of plasma bubble.From ~2 to ~43 TECU and ~5 to ~20 TECU depletions has been detected for the satellite passes along the line of sight of the signal for low solar activity period of 24 th and 23 rd solar cycle respectively.TEC depletions also show good correspondence with the occurrence of scintillation patches.Rate of change of TEC Index (ROTI) measurements are used to predict the presence of scintillation causing irregularities and its values show the strength of irregularity.Losses of lock were also detected during the encounter of the irregularity when the depletion in TEC is greater than 5 TECU.Results are discussed in terms of possible source mechanism responsible for the occurrence of plasma density depletion.
Analyzing Emotional Contagion in Commit Messages of Open-Source Software Repositories

For more than a decade scientist have focused on the emotions of software developers in order to understand emotion's impact on their productivity, creativity, and quality of work. In modern time, there is a sharp rise in open-source software collaborations and software development models that are globally distributed. A crucial aspect of these collaborations is the affect of emotional contagion. Emotional contagion is a phenomenon of transfer of one's affective state to another. In this research study, we follow through previously established research and build on it how emotional contagion happens in large opensource software development. We further establish how emotional contagion happens during different time and how it affects the overall development process.
Edge Computing: Data Sharing and Intelligence

"The paper introduces certain timely and secure computing approaches that affect data intelligence related to methods and tools for real-time information processing. Timely solutions are achieved using local premises rather than supporting centralized servers or clouds. Computing within the network partly occurs near the physical endpoints, and this is where the edge computing paradigm comes in to help. The proposed method of the cloud optimization suggests splitting and sharing data between network data centers and local computing power. Provision of distinct paths between edge and main cloud for each smart device is achieved using separate blockchain which register and store the logical links of hierarchical data. Methods for cryptographic key splitting between the edge and the main cloud, as well as strong authentication ensuring the shared data confidentiality, integrity, availability, and consistency are also given.
Cryptocurrency Digital Assets: Evidence of the Emergence of Cryptocurrency Securities Markets as an Investment Asset Class, 2018-2023

This study seeks to understand the value of digital assets as investments. The study compared the returns of the FAANG stocks and the S&amp;P 500 TR Index to Bitcoin and the CRIX index. The results found no significant difference between the returns of the FANG stocks and Bitcoin on a risk-adjusted basis. However, the study found a significant difference between the S&amp;P 500 TR Index as compared to Bitcoin and the CRIX index on a risk-adjusted basis. The period of the study, 2018-2023, reflects the relevant time band measured by the number of published studies and academic articles. The authors conclude that while Bitcoin may be an investment of choice for a risk-seeking investment style, better assets of choice exist for a risk-averse investor building a diversified portfolio.