Reviewerly/exHarmony huggingface dataset:
Designing Podcast for the Teaching of Islamic Expressions in English

The use of podcast as a medium of instruction in English classrooms has gained immense interests of L2 researchers and practioners. However, few of the existing studies highligt the use of Podcast to teach Islamic expressions within the context of Indoesian Islamic higher education. To fill this gap, this study aimed at designing Podcast that serves purposes for the teaching of Islamic expressions in English, and documenting the students’ perceptions toward the instructional design. This case study garnered the data from 45 students majoring in the English Department at the State Islamic Institute of (IAIN) Metro, Indonesia. The empirical evidence show that designing the Podcast for the teaching of Islamic expressions in English requires four interplay and systematic steps, namely planning, designing, evaluating, and uploading. The students perceived that their acceptance to the Podcast based learning design was driven by two key factors, namely the moral values embedded in the podcasts addressing Islamic content, and the content delivery fitting the condition of the target audience. This study encapsulates that English teachers pay attention on the content and pedagogical methods when designing a Podcast for the teaching of Islamic expressions in English.
Dispatcher I-queue Optimization in Join Idle Queue Algorithm for Improved Load Balancing in Cloud Computing

Objectives: Modern data centers serving web and mobile applications employ distributed load balancers. The Join Idle Queue (JIQ) algorithm is ideally suited for load balancing in a distributed setup. It attains fast response time by directing service requests to idle servers which can immediately process them. However, JIQ is not optimal in tracking idle servers leaving room for improvement.&#x0D; Methods: We observed that JIQ assigns idle servers non-uniformly to load balancers leaving some load balancers with no access to idle servers. We propose a variant of the JIQ algorithm, Join Idle Queue Dispatcher I-queue Optimization (JIQ-DIO), which increases the probability of load balancers having access to idle servers without additional communication overhead leading to improved response time.&#x0D; Findings: We simulated JIQ-DIO on CloudSim Plus 3.0 and compared it with standard JIQ and its different variants. JIQ-DIO was found to increase the probability of incoming requests being directed to idle servers and lead to more than two-fold improvement in response time across a broad range of parameters.
Design to Build a Mobile Android-Based Mathematics Learning Application for PAUD Kartini

Applications are often also referred to as software, which is a computer program whose instructions can be changed easily. The purpose of this research is to make a Mathematics Learning Application in more interesting way based on Mobile Android. The application is made using SDLC (System Development Life Cycle) method. SDLC is one of the popular information system development methods when the information system was first created. The results of the design of the mathematics learning application at PAUD Kartini include learning numbers, learning addition, learning subtraction, practicing questions, and exit menus. Existing facilities are very helpful in learning.
Somax2 – A Distributed Co-Creative System for Human-Machine Co-Improvisation

Somax2 is a multi-agent interactive system, based on machine-listening, machine learning and generative units, performing live machine co-improvisation with musicians. The system is trained on any musical materials chosen by the user (Audio or MIDI), effectively constructing a generative model, a corpus, from which it draws its musical “knowledge”. Listening to and adapting to a musician, that activates dynamic profiles, Somax2 provides stylistically coherent improvisation in real-time. As part of the REACH project, defining co-creativity as distributed agency between human and machine, Somax2 is indeed a good example of a distributed co-creative system, where multimodal cross-feedback affects collective behavior and increases player’s engagement through emotion and motivation.
The Use of Short Story as A Teaching Vocabulary Resource to The Second Grade of Babul Khaer Islamic Boarding School Bulukumba

The purpose of this study was to investigate the effectiveness of using short stories as a teaching vocabulary resource for second grade students at Babul Khaer Islamic Boarding School Bulukumba. The study employed a quasi-experimental design with a pretest-posttest control group to evaluate the impact of short stories on students' vocabulary acquisition. The participants in this research were 16-member classes of second-grade students (XI. Exact-2 as the experimental class and XI. Social Science-2 as the control class). The study instrument consisted of a test and a questionnaire. This data showed that the pre-test mean score for the experimental class was 47.31 and that it increased to 56.75 on the post-test. The findings revealed that students in the experimental group, who were exposed to short stories, significantly improved their vocabulary compared to the control group. The results suggest that short stories can be a valuable resource for vocabulary instruction in second grade students. Furthermore, the study highlights the potential implications of integrating short stories into the curriculum, including enhanced student engagement, improved critical thinking skills, and enriched cultural understanding. Additional research is needed to further explore the long-term effects of using short stories for vocabulary instruction and its impact on students' overall language development.
Increase the Speed Reading Ability Through Tracker-and-Method at SMA Negeri 2 Jeneponto

This study aims to improve students' speed reading skills by using the tracker- and-pacer method in SMA Negeri 2 Jeneponto, especially in grade XI Science 3. The method used is tracker-and-pacer. The tracker-and-pacer method is a method of speed reading by using a pen or pen when reading. collect data by giving pre-test and post-test. the subjects of this study were students of grade XI science 3 as many as 30 students who took part in this study. based on the results of the study before being given treatment with the pre-test results by speed reading, none of the students managed to enter the good and very good categories. after being given treatment, the results of the post-test students experienced an increase of 6.7 very good, 53.3 good and adequate 40.0. The conclusion of this study is that the use of the tracker-and-pacer method in improving speed reading has increased.
The Implementation of Online English Learning Classroom by The English Teachers at SMP Islam Al- Azhar 24 Makassar

This study intended to investigate (1) what types of online learning are used by the English teachers at SMP Islam Al- Azhar 24 Makassar (2) How do the English teacher use online Learning at Smp Islam Al-Azhar 24 Makassar.This study use Descriptive Qualitative method. The interwiew question consisted of 20 question, there are 10 question about types of online Learning and 10 how do the english teachers in use online learning. The researcher did the interview at the English teachers who teaches in class of Smp Islam Al-Azhar 24 makassar. The Data analysis was carried out by reducing the data, then presenting the data, and after that drawing conclusions and verification.The result have shown that the types of online learning are used by the English teachers are blendid Learning and hybrid online learning. The teachers mostly use various platform of online learning in teaching English through blended or hybrid learning.
People Counting and Tracking System in Real-Time Using Deep Learning Techniques

Abstract: The aim of project is to automatically estimate the number of people at indoor and outdoor places. People counting systems can be used in retail environment such as determining conversion ratio, advertising and promotional evaluation. This system can be used for transportation management system and video surveillance. The number of customers is indispensable data for management and decision making in public places like large-scale markets, shopping centers, airports, stations, museums, laboratories, classrooms, cafeteria etc. In this system, firstly extract the frames from the video, then draw a desired reference line on the input frame, detect the people using MobileNet-SSD object detection model, mark the centroid on the detected person, track the movement of that marked centroid and calculate the direction of centroid movement whether it is moving upwards or downwards. If the centroid movement is downward direction, then increment in counter, else if the centroid movement is upward direction, then increment out counter. People counting is essential for retailers of any size, but it's especially important for small businesses that don’t have the benefit of assaying data from multitudinous locales whenmaking pivotal opinions. When used intelligently, people counting can shape businesses in multitudinous ways other than just furnishing information on nethermost business.
PROTECTION OF SOFTWARE SYSTEMS FROM VIOLATION OF PROGRAM CODE INTEGRITY

Protection of program code from software modification is currently a very relevant area of science, since after the imposition of sanctions on the aggressor countries, the purchase and use of licensed software has decreased and the use of unlicensed softw
Retracted: Value of ddPCR in the Preoperative Diagnosis of Solitary Pulmonary Nodules Based on the Observation of Virtual Reality Images of Smart Medical Treatment

[This retracts the article DOI: 10.1155/2021/9920617.].
Performance Analysis of Image Watermarking for Different Sub-bands Using LWT and Arnold Map

In this paper, blind image watermarking is proposed for grey-scale images using LWT and Arnold maps. A comprehensive analysis of robustness and imperceptibility for different sub-band is analyzed, and a robust sub-band against different attacks is determined for designing a system robust against intentional attacks or combined attacks. The importance of embedding a watermark in several sub-bands has been examined to increase the robustness against various image attacks while retaining a reasonable level of imperceptibility. During the study, robustness is analyzed and watched against the number of attacks such as compression attacks, noisy attacks, de-noising attacks, and geometric attacks. It is moreover seen that higher sub-bands are seen to offer good imperceptibility, and robustness performance depends on the nature of attacks. It has also been noticed that entire attacks affect the watermarked image in a different way. A standard image dataset is used to test the suggested concept, and it is discovered that sub-band 1 performs admirably for strength (robustness) and imperceptibility against different image attacks.
Finance of the Digital Age: Cryptocurrencies

In this era, on the cusp of a new digital age characterized by rapidly accelerating technological advancements and novel challenges to traditional financial paradigms, cryptocurrencies and their inherent innovations hold substantial potential to markedly influence both the global economy and, notably, the financial landscape in Turkey. In this context, this comprehensive investigative study aims to thoroughly scrutinize the universe of cryptocurrencies, initiated with Bitcoin in 2008 and continually expanding with the development of numerous different cryptocurrency units ever since. It specifically aims to discuss the array of advantages, such as accelerating financial transactions, reducing transaction costs, enhancing traceability of financial operations, and diminishing restrictions in international payments, as well as the challenges, including volatility, illicit use, privacy, and regulatory uncertainties. The varied responses of governments and financial regulators to the increasing popularity of these new financial units, and their effects worldwide and specifically in Turkey, constitute a crucial part of this study's extensive examination. For a better understanding of the potential impacts of cryptocurrencies and the underlying blockchain technology, and how they may play a role in future financial systems, it is imperative for users to fully comprehend the benefits and risks offered by these novel technologies, as well as to closely observe technological progressions and societal adaptation processes to these innovative financial tools. In conclusion, this study seeks to provide a roadmap for identifying and analyzing the transformative potential of cryptocurrencies and their underlying technologies in how finance is operated and understood. While technological advancements and the growing popularity of cryptocurrencies present new opportunities and challenges for both the financial world and societies more broadly, understanding and properly guiding this domain is of paramount importance for the prosperity of future generations.
Attending the Classroom Again: Mobile Phones On or Off?

From the end of 2019, when inexplicable signs of the spread of COVID-19 were reported, until mid-2021, university classes were held online. Electronic learning (e-learning) has greatly contributed to the growth and development of e-learning education knowledge of professors and students. According to some experts, the e-learning movement can be divided into before and after the COVID-19 pandemic. One of the important consequences was the widespread use of smartphones in education [1].
Comparative Study on Chatbot Frameworks

Abstract: Chatbots are gaining popularity in different sectors of our day-to-day life from virtual assistants on our mobile devices, and on different social media platforms to customer service agents on different websites, organizations, and institutes. Due to the popularity of chatbots there exist multiple ’frameworks’ of varying characteristics for developing Chatbots. Hence, selecting the right ’framework’ for chatbot development is a problem, and the outcome of a study to better understand these frameworks can mitigate that problem to some extent. Studying every intricate detail of all of the existing chatbot development frameworks in one single study is not feasible. In this, two of the most popular chatbot development frameworks (Microsoft Bot and Rasa) to study, and some topics closely related to chatbot development were taken into consideration for comparison. The goal was to compare these two frameworks and recommend which may be a better solution for chatbot development. Documentations of each framework were taken into account and two identical case study chatbots were implemented using each framework to study these frameworks regarding those related topics.
Development of A Snakes and Ladders Game-Based Nutrition Education Media to Adderss Anemia in Adolescent Females

In 2023, the global prevalence of anemia among female adolescents is projected to reach 32.8%, indicating a persistently high prevalence. The primary cause of anemia is iron deficiency, and its common signs and symptoms include weakness, fatigue, lethargy, tiredness, and a lack of energy which can significantly impact the well-being of individuals. Young women with anemia may experience growth retardation, increased susceptibility to infections, reduced physical fitness, and difficulties in concentration and learning. One strategy to address this issue is the development of a creative nutritional education media that can improve adolescents' knowledge about anemia. Therefore, this study aims to develop a Snakes and Ladders game-based nutritional education media, specifically designed for adolescent females who are at a higher risk of developing anemia. The research follows a research and development approach using the ADDIE model, consisting of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. Both qualitative and quantitative data analyses were employed to analyze the media validity. Quantitatively, the educational media received positive validation scores, with media experts providing an 84,4% rating, material experts rating it at 83,8%, and linguistic experts at 85,2%. The young female respondents in the media trial phase achieved an average knowledge scores of 88% regarding anemia. In conclusion, the nutrition education media based on the popular Snakes and Ladders game is both feasible and effective as an educational tool for anemia education. Further development of the educational media should consider targeting a broader audience, such as pregnant women and nursing mothers&#x0D;
Teachers as Forced Digital Immigrants in Post-Covid-19 Reality: Does Hybrid Identity Facilitate Successful Integration in Fully Digital Online Teaching Environments?

The current study adopted a model from immigration literature in order to equate the transition of teachers to digital teaching environments to geographical immigration.The study focused on teachers' hybrid (digital and traditional) identity as digital immigrants during their "immigration" process and examined the role of innovative school climate and technological training as moderators.Data was collected from 145 secondary school teachers in Israel.The findings indicated that both teachers' digital and hybrid identity significantly predicted their objective and subjective integration process as digital immigrants, particularly when the school's innovative climate and teachers' digital training levels were low.
Financial Development, Human Capital Development and Economic Growth in Sub-Saharan African Countries

Abstract&#x0D; Over the years, there has been a pressing need to improve the state of human capital development and financial development, to pay more attention to it and the benefits it holds in the economy. However, this has not been the case in the Sub-Saharan Africa region, as there has been a major decline in comparison to the other regions of the world. The study examined the relationship between financial developments, human capital development on economic growth in Sub- Saharan African (SSA) countries. The data collected for this research work was obtained from the World Bank, for the 45 Sub-Saharan countries for twenty-four years (1997 to 2020). Descriptive analysis was used to analyze the data set; while panel regression analysis and unit root, testing was also carried out. The results of the study indicates that financial stability and human capital development (education) has significant relationship on the economic growth in Sub-Saharan African countries. The study therefore recommends that the government should attach a higher level of importance to human capital development as well as financial access to ensure economic growth in Sub-Saharan Africa.&#x0D; Keywords: Financial Development, Human Capital Development, Economic Growth, Nigeria&#x0D; JEL classification &#x0D; C33; G10; O47
Current practice of histopathology in Pakistan: difficulties, challenges, and solutions

Histopathology is the gold standard for diagnosis of cancers as well as many non- neoplastic diseases. Pakistan is a country of more than 220 million people and the fifth most populated country of the world. Unfortunately, it has a weak healthcare system in general and poor pathology services in particular. Till date, only 338 histopathologists have passed their fellowship examination in Pakistan; this has led to a very alarming situation considering the marked increase in the prevalence of cancer cases and other diseases which need histopathological interpretation. There are only 18 big histopathological labs in the country, the majority of which are located in major cities which further delays the diagnosis of patients who live in rural areas. Immediate steps are required for better histopathology services in the country. Adoption of digital tools may bridge the gaps of histopathology-practice and ensure consistency across the country.
Model of Premarried Sexual Behavior in Adolescent City of Medan in 2021 Using Logistic Regression

In this study, the problem taken was premarital sexual behavior in adolescents in Medan City in 2021, by looking at the shift in the norms of right and wrong, good and bad, especially in the context of sexual behavior becoming increasingly real. The purpose of this study is to determine a model of premarital sexual behavior in adolescents in Medan City in 2021 by using logistic regression to carry out a prevention by looking at what variable factors have a significant relationship to the level of premarital sexual behavior that occurs in Medan City. In this study, there were 100 samples that had been taken using Cluster Random Sampling with four predictor variables, namely media, attitudes, knowledge and parental roles and the response variable, namely premarital sexual behavior in adolescents. Based on binary logistic regression, the model obtained is with the smallest G test value and each model on multiple variables, it can be seen that the entire value of Cox & Snell and Nagelkerke (R2) < 0.50 in the overall parameter significance test which states that the level of effective contribution given by each predictor variable to the response variable has not enough to be used as a model of premarital sexual behavior in adolescents in Medan City in 2021. This means that there are other variables besides media, knowledge, attitudes and parental roles that can affect the level of premarital sexual behavior in adolescents in Medan City in 2021
Binary Logistic Regression Analysis Using Stepwise Method on Tuberculosis Events

Tuberculosis is an infectious disease caused by the bacteria Mycobacterium tuberculosis. Among all the districts/cities of North Sumatra province, Medan has the highest cases of tuberculosis sufferers with a total of 12,105 cases in 2019. This study aims to determine the factors that significantly influence tuberculosis. The factors analyzed were age, gender, occupation, education, BCG immunization, history of diabetes mellitus and HIV infection. This study uses secondary data for the period January 2019 to December 2020 obtained from the Sentosa Baru Health Center. With the help of SPSS, this study uses a stepwise method with forward selection and backward elimination as the method for analysis. Akaike Information Criterion (AIC) is used to select the best model in the stepwise method. With the AIC criteria obtained, the best model is forward selection because the AIC value is lower at 28,527 compared to backward elimination at 41,664. Of the 7 variables studied, there are 3 factors that have a significant effect, namely age, history of diabetes mellitus, and HIV infection so that the model g(x) = 2.802 1.056 X1 0.614 X6 2.477 X7.