Reviewerly/exHarmony huggingface dataset:
The Effects of Total Quality Management Practices to Employees’ Job Satisfaction

The effects of Total Quality Management (TQM) on employees' job satisfaction has been studied extensively in worldwide. However, the studies about the effects of TQM and job satisfaction can still be explored. The purpose of this research is to study the effect of TQM on job satisfaction. Five hypotheses were developed in this paper. This study is useful to the top management in the public sector as a guide to improve their current employees' capabilities and organization performance. It is also can improve the quality of work, indirectly improve the productivity of employees at their organization. This study was a cross-sectional study. A stratified sampling technique was used in collecting data from 261 employees in Majlis Bandaraya Melaka Bersejarah (MBMB). The results of the study supported only three from five hypotheses. Accordingly, top management commitment and reward and recognition are the most influential factors of TQM practices towards employee' job satisfaction. &nbsp
Preface

Thee Musical Metacreation workshop aims to bring together artists, practitioners and researchers interested in developing software and systems that autonomously (or interactively) recognize, learn, represent, complete, accompany, compose, or interpret music.
PELATIHAN PERAWATAN RUNNING TEXT DI DESA DUWET KECAMATAN TUMPANG

Running text has many benefits, not only can it provide beauty for a promotional media but also become a very effective promotional media and can be used for a business. In Duwet Village, there is a UMK that can produce several superior products, including corn rice (gerit), cassava crackers and bamboo crafts (besek). They need media that can be used for marketing media. With this problem, we propose running text maintenance training. Running text maintenance training for displaying information in Duwet Village is beneficial for the people there. This is due to the unavailability of running text in Duwet Village UMK. With the running text, it is expected to be able to socialize and market superior products when there are guests from outside who visit Duwet Village
Towards an Interpretable Model for Automatic Classification of Endoscopy Images

Deep learning strategies have become the mainstream for computer-assisted diagnosis tools development since they outperform other machine learning techniques. However, these systems can not reach their full potential since the lack of understanding of their operation and questionable generalizability provokes mistrust from the users, limiting their application. In this paper, we generate a Convolutional Neural Network (CNN) using a genetic algorithm for hyperparameter optimization. Our CNN has state-of-the-art classification performance, delivering higher evaluation metrics than other recent papers that use AI models to classify images from the same dataset. We provide visual explanations of the classifications made by our model implementing Grad-CAM and analyze the behavior of our model on misclassifications using this technique.
Application of Short Message Service (SMS) on Cinema Ticket Booking

The objective applications Ticket Booking Theatres Short Message Service (SMS) to facilitate the work of Admin, in serving the customer. When booking tickets buyer has no need to come back and forth because just want to book tickets only. Booking cinema tickets. Data collection methods used in conducting this research is through primary data (interviews, observations) and secondary data (documents).From the results of the design and manufacturing applications can be concluded that the cinema ticketing system can be done via the Short Message Service (SMS).
Correlation between hemolysis index and storage period to potassium levels of Packed Red Cell in Sanglah General Hospital, Bali, Indonesia

Background: The quality of a blood product is determined by collecting, processing, storing, and transporting it. When blood is stored, there will be mechanical and biochemical changes. Mechanical changes consist of morphological changes and hemolysis, while one of the biochemical changes is increased plasma potassium levels. This study aimed to determine the correlation between the hemolysis index and the storage period to potassium levels of the packed red cell (PRC).&#x0D; Methods: This study was a cross-sectional study at Sanglah Hospital. The sample was taken from the tube in the PRC blood bag and then a complete blood count and potassium analysis were performed. Data were analyzed using SPSS version 25 for Windows.&#x0D; Results: From 70 subjects, the median hemolysis index was 0.15% (0-1.69%), the mean storage period was 12.06±4.95 days, and the mean potassium level was 12.06±3.92 mmol/L. The Spearman test results showed a positive weak significant correlation between the hemolysis index and potassium levels (r=0.360; p=0.002). The Pearson test results also showed a positive weak significant correlation between the parameter of the storage period and potassium levels (r=0.357; p=0.002).&#x0D; Conclusion: There was a positive weak significant correlation between the hemolysis index and the storage period to potassium levels of the PRC.
COVID-19 pandemic and the economy: sentiment analysis on Twitter data

In the last decade, social networks have increasingly been used in social sciences to monitor consumer preferences and citizens' opinion formation, as they are able to produce a massive amount of data. In this paper, we aim to collect and analyse data from Twitter posts identifying emerging patterns related to the COVID-19 outbreak and to evaluate the economic sentiment of users during the pandemic. Using the Twitter API, we collected tweets containing the term coronavirus and at least a keyword related to the economy selected from a pre-determined batch, obtaining a database of approximately two million tweets. We show that our Economic Twitter Index (ETI) is able to nowcast the current state of economic sentiment, exhibiting peaks and drops related to real-world events. Finally, we test our index and it shows a positive correlation to standard economic indicators.
Young People’s Media Literacy: Research and Possibilities of the Educational System

The number of risks that young people may face when using the Internet and other information channels is increasing every year. Disinformation, data fraud, information bubble as an effect of social media algorithms, and negative impact on mental health are some reasons why media literacy education has become particularly relevant in recent years. Also, in Latvia, starting from the 2020/2021 school year, a new standard of education has been introduced. The article aims to provide insight into two issues interrelated with young people’s media literacy – its research in Latvia and its possibilities to improve how media literacy is included in the formal education system. The study consists of the analysis of the documents – the regulations of the Cabinet of Ministers, which determine the educational standards in the stages of basic and secondary education, as well as the analysis of media literacy studies conducted among young people in Latvia and published over the last five years. Studies on media literacy among young people in Latvia have some gaps which determine that currently, it is more difficult to predict young people’s exact and current needs in terms of media literacy. Although media literacy is represented in the newest educational standard for basic and secondary education, the main concern is the actual implementation of this standard in work with students, as there is still a lack of official supporting methodological materials and regular and systematic teacher education (including life-long education) in media literacy in Latvia. An article could be helpful for education policy and media policy planners, practitioners, researchers, and organizations/institutions working in the media literacy field.
ANTARA LANGGHAR, BHAQAF, DAN SUMBER MATA AIR

The purpose of this study is to describe about architectural building called bhaqaf in the tradition of Javanese and Madura. This is a qualitative research using ethnographic research design. It conducted based on deep observation towards bhaqaf in both Pamekasan dan Malang districts. This study is also emphasized on: 1) the term of bhaqaf in Madura closes to Arabic term waqf which means stop or place where to stop; 2) architectural building of bhaqaf in Javanese and Madura culture in some cases is placed closely to water source; 3) in the past, bhaqaf often used as rest area some of people who had a long travel; 4) bhaqaf existence, in some way, also involves in Islamic fiqh which closely related to Syafi’iyah concepts of mutanajjis, musta’mal, the water level for people to do wudhu called two qullah; 5) bhaqaf is one of Islamic dakwa infrastructure which specifically become the public service place for Muslim to pray; 6) nowadays, some of bhaqaf building develops into musala.
Geochemistry of the U-Th-REE mineralized Tajo granite, Socorro County, New Mexico

The Proterozoic Tajo granite consists of six outliers along two northwest-trending faults east of Socorro.The area was originally examined for uranium, but fluorite and rare earth elements (REE) were reported as well.REE consist of the 15 lanthanide elements and includes scandium and yttrium.While common in the crust, REE do not often occur in economically viable amounts, and are fundamental to a wide variety of technologies including electric cars, energy-efficient lights, and smart devices.Considering America's heavy reliance on other countries for REE supplies, identifying, analyzing, and categorizing potential REE deposits could serve as a considerable independent, economic, and strategic interest.Some Proterozoic granites, including the Tajo granite in New Mexico, contain uranium and REE, but their economic resource potential is unknown.Preliminary petrographic and geochemical analyses of the Tajo granite indicate that it is medium-to coarse-grained, peraluminas granite, but is relatively low in REE and uranium.Geochemical comparisons of the Tajo granite to other granites found in New Mexico show that Tajo has an unusual composition.It is enriched in Rb, U and Th compared to most Proterozoic granites, and depleted in CaO, Na2O, and Sr. Future studies need to further analyze petrographic and geochemical samples to determine what depleted the REE and characterize petrogenesis.
Interection design and thechnologies developed by brazilian healthtechs

Applications from IoT technologies - The Internet of Things has been used in the market of Brazilian startups that work in the field of health. Such technologies need to offer an efficient and intuitive interface so that the user can make decisions while performing tasks in the digital environment. Based on this assumption, the study aimed to identify the principles of interaction design in the elaboration of interface design for applications that use IoT technologies. To do so, it was sought in the literature review to conceptualize the terms Wearable, IoT, and the theoretical bases of usability criteria, interaction design, and interface design. With an exploratory and descriptive approach, the research presented a documentary survey of the situation of Brazilian healthtechs and how these companies apply IoT technologies in their products and services. To elucidate the theory, the procedure of analysis of the interaction design was used in an application for the treatment of epilepsy by the healthtech Epistemic. As a result, it was found the existence of a group of Brazilian healthtechs that invested in IoT technologies to promote health, well-being, and the fight against COVID-19 through their digital devices. By selecting Epistemic's IoT technology, it was possible to present how the interaction design appropriates the usability criteria to favor the communication process between the system and the user while evaluating the user's experience with the interface from the degree of satisfaction and efficiency in performing tasks.
Unsupervised Object Re-identification via Irregular Sampling

Object re-identification (Re-ID), is a fundamental task in intelligent systems, that aims to find the same object, i.e., person or vehicle under different camera views or scenes. This paper studies the fully unsupervised object re- ID problem which can learn re- ID without any human-annotated labeled data. Recent works show that self-supervised momentum contrastive learning is an effective method for unsupervised object re- ID, but they neglect to optimize one important component - sampling strategy. Here we investigate and analyze the performances of the current sampling strategy in different numbers of positive samples in a mini-batch under the same learning framework and loss function, then we proposed a more effective and robust sampling strategy - Irregular Sampling (IS). Experimental results show that sampling strategy is also an important factor in model performance, and the proposed sampling strategy IS can effectively boost the model performance. Extensive experiments are performed on one vehicle re-ID dataset and two mainstream person re- ID datasets.
Voice Commerce: Exploring Consumer Expectations of Smart Speakers for Shopping

Voice commerce enables customers to purchase products through the application and integration of virtual assistants based on smart speakers. This study aims to explore what consumers expect from voice assistants for shopping. The current study employed a qualitative approach of focus group discussions (FGDs). A total of 27 smart speaker users between 25 and 49 years old participated in the discussions. The current study identified eight significant themes that explicated the consumer expectations from smart speakers when shopping: (1) personalization, (2) convenience, (3) efficiency, (4) hedonism, (5) social agency, (6) limited visual information, (7) controllability, and (8) technical maturity. The first five themes represent positive benefits and expectations from while the latter three themes capture challenges faced in voice shopping via smart speakers. The study provides theoretical and practical implications.<br>
Mini and the Beast

Abstract David Van Koevering offered a barter: he’d take Bob’s instruments on tour in exchange for free equipment. The Synthesizer 10 appealed to him for its convenience and portability—features lacking in Bob’s modular equipment. Keith Emerson pioneered live Moog modular performances (with the Nice at Royal Festival Hall; with Emerson, Lake, &amp; Palmer at the Isle of Wight; and on recordings like “Lucky Man”). Emerson called the Moog “the beast,” for its size and complexity. Gershon Kingsley presented Moog modulars at Carnegie Hall. But Bill Hemsath’s Min A and Mini B prototypes appealed to players as smaller, practical synths for concerts. David Borden was the first to test-drive the Min A with his Mother Mallard ensemble, and Chris Swansen used it at the Daniel Berrigan rally at Cornell. Sun Ra premiered the Mini B at the Red Garter, followed by Dick Hyman at the Eastman School.
Exploring autonomous language learning behaviors through video sharing and online discussions in higher education

This current study explores how video sharing and online discussions promote learning autonomy in English language classes in a public university for the duration of the quarantine established by the Colombian government during the coronavirus pandemic. This study was conducted with 127 engineering and administration undergraduates from a public university in the department of Boyacá. This was a qualitative case study which intended to identify the extent video sharing and online discussions increase learner’s autonomy behaviors in English language learning .The instruments for data collection were student journal, student artifact, including video recordings and online discussions, interviews, and questionnaires. An open coding analysis was utilized and the results revealed that the degree of autonomous behaviors gradually could be fostered by the implementation of video sharing. Results also indicated that students are receptive to online writing discussions and showed how motivation plays a vital role in learning English and the achievement of own learning goals.
Pengembangan Modul Tenses Bahasa Inggris Siswa

The purpose of the research on the development of the English language module is to produce learning products in the form of an English module that is in accordance with the needs and characteristics of class X students at SMK Muhammadiyah Jambi City. This research is a type of R&amp;D (Research &amp; Development) research using the ADDIE development model which consists of 5 stages, consisting of analysis (analysis), design (design), development (development), implementation (implementation) and evaluation (evaluation). The data collection in this study was observation and interviews which were used to conduct a needs analysis, while the questionnaire was used to obtain data on the feasibility of the product. The data analysis technique in this study used descriptive statistical analysis to analyze quantitative data obtained from expert validation questionnaires and product trial questionnaires. To analyze qualitative data using techniques to check the validity of the data, triangulation of sources, triangulation of methods and triangulation of theory. The results of the media expert validation were 48.75 with the "good" criteria, while the material expert validation results were 34 with the "enough" criteria. The results of the small group trial carried out at SMK Muhammadiyah Jambi City with the test subject of 10 students obtained a score of 262 with "good" criteria. In conclusion, the English module for Class X students of SMK Muhammadiyah Jambi City is declared feasible to be tested with a slight revision and can be used as a source of teaching materials for students and teachers.&#x0D; Keywords: English module, R&amp;D Research (Research &amp; Development), Tenses
Research on the Relationship between Training Duration and Grip Strength Change Based on Grey Relational Analysis

With the advent of the information age, modern information technology is progressively influencing the improvement and scientific development of athletes' sports training. The book Sports Training edited by Tian Maijiu points out that strength is the ability of the human body to resist resistance, and it is the basis of physical ability elements such as speed, endurance, agility and flexibility. However, how the grip strength of the athlete changes as the training duration increases is a topic worthy of our study. Regarding the relationship between the two, the coaches usually make subjective judgments based on their own experience; this paper mainly took the maximum grip strength as the research object, and obtained a series of relevant physiological data or indicators by repeatedly testing the maximum grip strength of the testers after a period of grip strength training. Then the data mining algorithm based on Grey Relational Analysis was used to preprocess the data accordingly, thereby extracting useful data on the relationship between training duration and grip strength. Finally, The test data were analyzed and tallied using SPSS 22.0 software, and the following results were finally obtained. The maximum grip strength growth rate was high in the early stage of training (the first 4 weeks); during the test period, the maximum grip strength increased by leaps and bounds, i.e., the maximum growth week occurred, but the individual differences in the appearance time and growth rate were large, showing no significant relationship with gender; the increase in maximal grip strength was characterized by phases during the test period.
Sistem Monitoring Deteksi Dini Kebakaran Hutan Berbasis Multiplatform Di Kabupaten Siak Menggunakan SDLC Prototyping

Forest fires can occur by natural or human factors. The Siak district is one of the areas in Riau Province which has a forest with peat soil, so it has high fertility. However, in recent years, many abandoned peatlands have been dry due to the behavior of locals and extreme weather, which has caused the peatlands prone to fire. This research collaborates with BPBD Siak as a user to deliver an early detection system for forest fires. The system is developed by using the SDLC prototyping model, which emphasizes the active role of the user to be involved. The source of peatland information is from branch sensors and parent sensors which periodically send information regarding the status of monitored land to the cloud server for storage purposes. The cloud server is a source of information for the three platforms that can be leveraged for users to monitor the status of peatlands both in real-time and previous conditions, namely web applications, mobile applications, and LED boards. Based on the performed tests, all components of the system worked well and the three platforms were successful in displaying information on the real-time condition of the monitored peatlands.
A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features

Clustering is a challenging problem in machine learning in which one attempts to group <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> objects into <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> groups based on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</i> features measured on each object. In this article, we examine the case where <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> ⪡ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> is not known. Clustering in such high dimensional, small sample size settings has numerous applications in biology, medicine, the social sciences, clinical trials, and other scientific and experimental fields. Whereas most existing clustering algorithms either require the number of clusters to be known a priori or are sensitive to the choice of tuning parameters, our method does not require the prior specification of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> or any tuning parameters. This represents an important advantage for our method because training data are not available in the applications we consider (i.e., in unsupervised learning problems). Without training data, estimating <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> and other hyperparameters–and thus applying alternative clustering algorithms–can be difficult and lead to inaccurate results. Our method is based on a simple transformation of the Gram matrix and application of the strong law of large numbers to the transformed matrix. If the correlation between features decays as the number of features grows, we show that the transformed feature vectors concentrate tightly around their respective cluster expectations in a low-dimensional space. This result simplifies the detection and visualization of the unknown cluster configuration. We illustrate the algorithm by applying it to 32 benchmarked microarray datasets, each containing thousands of genomic features measured on a relatively small number of tissue samples. Compared to 21 other commonly used clustering methods, we find that the proposed algorithm is faster and twice as accurate in determining the “best” cluster configuration.