Reviewerly/exHarmony huggingface dataset:
Pengaruh Media Sosial terhadap Pergeseran Bahasa Indonesia pada Mahasiswa Farmasi Universitas Nahdlatul Ulama Sunan Giri

Advances in technology and information flow have made Indonesian people more open to global knowledge. It is undeniable that the development of the media also plays an active role in changing one's lifestyle, both electronic, print and online media. Judging from today's modern era, social media is not just a medium of communication, but has become part of human lifestyle, especially young people or students. One of the impacts of the advancement of technology with the existence of social media is a shift in language. Language shift is a linguistic phenomenon that sometimes refers to the extinction of a language. Social media is an online media where users can easily participate, share and create content including blogs, social networks and wikis, which are the most frequently used forms of social media by people around the world. 16 Social media is a website-based feature that can form networks. and enable people to interact within a community. On social media, we can carry out various forms of exchange, collaboration, and getting to know each other in the form of visual and audiovisual writing. Examples include Twitter, Facebook, blog, Forsquare, and others. Some of the problems found, researchers need to conduct research and the problem that is used in this study is how social media influences the shift in Indonesian among Pharmacy students at Nahdlatul Ulama Sunan Giri University. Social Media as a space for interaction can cause a shift in language, where the average pharmacy student at Nahdlatul Ulama Sunan Giri University or other students must understand this better and there is an increase in the knowledge of pharmacy students at Nahdlatul Ulama Sunan Giri University, especially regarding the influence of social media on language shift in pharmacy students at Nahdlatul Ulama University Sunan Giri.
COMPUTER SYSTEMS TO AID IN WOUND HEALING: SCOPE REVIEW

Objective: To investigate studies that present computational systems to aid healing and systems which refer to the use of low-level laser.Method: Scope review that aimed to answer the question: Which computer systems help in wound healing? A subquestion was: Which of the computer systems refer to the use of low-level laser? Results: From the search, applying the eligibility criteria, 49 articles made up the final sample. The systems served multiple purposes in support of wound healing; the majority presented the health professional as a user of the system; medicine was the most mentioned professional area despite nursing being involved in the management of care for people with wounds. Innovation in care using the computer system was frequently reported, demonstrating the importance of this type of tool for clinical practice. There was a high frequency of the mobile platform, showing that this is a current trend. Conclusion:Computer systems have been used as tools to support patients and especially professionals in wound healing. Regarding the systems aimed at the low intensity laser, there was a shortage of computer systems for this purpose, with a study.
An exploration of the academic trajectory of korean tourism researchers

국내외 관광 교육 및 연구 역사가 60여년에 달함에도 불구하고, 관광학의 학문적 발전과 정체성에 대한 논란이 여전하고 특히 관광학 연구 분야의 편향성에 대한 비판이 지속되고 있다. 이 연구는 이러한 편향성을 야기한 행위자로써 관광 연구자들의 학문적 궤적을 탐색하여, 관광 연구의 편향성을 이해하는 새로운 관점을 제공하려고 하였다. 이를 위해 국내 4년제 대학에 재직중인 관광 분야 교원들(n=708)을 대상으로 하여, 이들의 인구통계학적 특징과, 전공분야, 임용시기 및 학문적 배경 등 학문적 궤적을 분석하였다. 또한 임용시기별로 이들의 특징을 비교 분석하여 국내 관광 연구의 전개 상황과 관광 연구자들의 학문적 배경과의 연관성을 분석하였다. 연구결과 국내 관광 분야 교원들은 남성 교원(65.1%)이 여성 교원(34.9%)보다 많았으며, 평균 연령은 53.5세로 장년층 연구자가 많았고, 수도권보다는 지방에, 그리고 국공립대보다는 사립대에 소속된 교원들이 더 많았다. 학사학위 과정에서 관광 관련 학과를 졸업한 교원은 ⅓에 미치지 못하며, 학사과정보다는 석사과정, 석사과정 보다는 박사과정에서 관광학을 전공한 교원의 비중이 더 큰 것으로 나타났다. 특히 국내 관광교원의 전공 학문은, 관광학을 제외하면, 경영학의 비중이 10% 수준으로 가장 큰 것으로 나타났고, 관광학을 전공한 교원의 세부 전공분야는 관광경영/경제(62.9%)와 관광사업/레저사업(8.6%)로 경영학과 연관성이 매우 큰 것으로 나타났다. 이 연구의 결과는 국내 관광 연구논문들이 경영학적 기반에 경도되어 있는 현상을 일부 설명할 수 있다. 마지막으로 이 연구의 결과를 바탕으로 관광학 연구와 교육을 위한 시사점과 연구의 한계점을 제시하였다. With more than 60 years of history of tourism education and research, there have been ongoing controversies around the identity issues of tourism studies and the concentration phenomenon of research topics among tourism academics. This study aimed to explore the trajectory of the tourism researchers who had caused the concentration phenomenon of research topics, and thereby to provide a different perspective to understand this phenomenon. For this study, information on the tourism researchers working at four-year universities in Korea were collected using data from database of Korean Researcher Information (KRI). From the data, the demographic characteristics and academic background information of the tourism researchers including the major study fields, appointment period to the affiliated universities and specialized research areas were analyzed. In addition, while comparing the researchers’ characteristics by their appointment periods, it examined the relatedness of the tourism researchers’ background to the concentration phenomenon. Among the total 708 tourism researchers, male (65.1%) researchers outnumbered female (34.9%) researchers, and the senior researchers (50s∼60s) were more than juniors (30s∼40s) with the mean age of 53.5. While the researchers with tourism related degrees in their universities were less than ⅓, more researchers majored tourism areas in their master degrees than undergraduate degrees, and further much more in their doctoral degrees. Interestingly, focusing on the researchers’ doctoral degrees, the business management-related degrees (over 10%) were the biggest except for the tourism-related degrees. Based on these results, it can be partly explained why the tourism research papers in Korea tends to be written from the business management perspectives. Lastly, the implications and limitations of the study are presented based on the research findings.
Statistical Aspects of Deep Learning

Most of the methodology for Deep Learning (DL) has been built by computer scientists, and they have done an amazing job—DL is changing the world in powerful ways. But computer scientists look at the world differently from statisticians, and I think there is value in both perspectives. This talk describes some of the many contributions statistics can make to DL techniques.
How to make a teaching video for communication skills training? Conclusions of a research experience

Online training in communication skills is a challenge. We have designed and developed a course on "Communication skills for dealing with respiratory infections in children" aimed at paediatricians, nurses and pharmacists as part of a clinical trial related to the optimization of antibiotic prescription. It focuses on three communication strategies with the family: semiological interview, negotiation and closing of the consultation, aimed at managing beliefs about the need for antibiotics. The videos are part of the course. Design, recording and editing is a complex process that requires a systematic approach to theoretical content. Systematic to create a teaching video: Development of teaching content Definition of the objectives Writing the script Description of scenes Selection of actors (professional/s and patient/s). Rehearsal. Script adaptations with the opinion of experts and the product manager (shots, light, sound). Recording. Initial image editing Generation of subtitles and captions: shared document between the teaching team and the editor of the videos in which the details and timing are included. Final edition. The elaboration of videos requires teachers a very detailed practical development of the contents of the course. The design enhances the teaching skills themselves. The level of satisfaction of the students has been widely expressed in the comments in webinars at the end of each module. The usertesting and also the satisfaction surveys corroborate that the course is enjoyable due to the videos (>80%) and motivates to continue with the training (>80%). Online training in communication has a limitation that is the management of skills in the work context. Videos can help to learn theoretical concepts "in practice" when they are edited with comments and subtitles that emphasize words, phrases or situations.
The criminal confrontation of the cryptocurrency (Bitcoin) and its illegal use

Cryptocurrency trading is shrouded in confusion in terms of criminal confrontation and proof, and it requires the involvement of criminal law to comply with the principles that govern the law. Accordingly, there is a need for solidarity on the international level to define the legal method in order not to misuse cryptocurrency, and in particular Bitcoin. While legal accuracy in this confrontation is desirable, it depends on the balance between the security imperatives to confront terrorism resulting from the misuse of cryptocurrencies and the requirements to protect human rights. Thus, it comes as a major challenge in criminal law to confront the consequences of dealing in cryptocurrency (Bitcoin) for crimes that may lead to security risks, public order in the state of law, and human rights challenges which are often committed by an exceptional intelligent criminal, and the creation of standards that must be adhered to confront such crimes.
Classification of Tourism Reviews from Bengali Texts using Multinomial Naïve Bayes

People utilize social media to express their opinions on a variety of topics. It’s true for traveling as well. People share their experiences to advise others about a destination. As a consequence, these reviews are helpful to a lot of tourists all around the world. The main issue is that tourists are unable to select their ideal travel destination by reading each review online. Additionally, tourism reviews may assist a travel agency to provide better services, but it takes a lot of time and effort. It is important to investigate the enormous amount of tourism review data that is generated online every day to assess public sentiment and support business intelligence. Although the field of sentiment classification has evolved significantly in languages with a lot of resources, it is still in its infancy for resource constraint languages, like Bengali. To eradicate the scarcity, a dataset of 6000 reviews is compiled and annotated from different social media sites. Also, A Machine Learning based model is developed with different feature extraction techniques to classify the reviews from Bengali text data into two basic sentiment classes- positive and negative. After the performance evaluation, the highest accuracy of 89.50% is achieved using Multinomial Naïve Bayes and Tf-Idf vectorizer along with word Bigram features. Undoubtedly, this approach can assist future tourists to select the right travel destination and the travel agency to improve their services.
A comparative study on verbal affixes and auxiliary verbs as functional heads in Japanese and Korean

It is true that languages differ, but they can only be different as the universal principles and parameters allow. Professor Hiroshi Aoyagi is interested in linguistic curiosities and the universality of language. He and his research team in Japan are investigating the possibility that proto-Korean and proto-Japonic languages branched off from a common source thousands of years ago. Japanese and Korean have grammatical similarities but the typological relationship between the two is yet to be determined. Aoyagi is seeking to substantiate the hypothesis of a common origin for the two languages and, in doing so, will contribute to the typology of the three major languages in the Far East: Japanese, Korean and Ryukyuan. In his 1999 book, Shiro Hattori stated that Korean may have a kinship relation with Japanese (next to Ryukyuan) and the two languages must have split more than 4,000 years ago. Aoyagi believes that this conjecture, if tenable, accounts for the presence of double causatives, the absence of the benefactive auxiliary verbs and the absence of exclusive/adversity use of the passive morphemes in Korean and Ryukyuan. His studies involve an explanation of the core morpho-syntactic characteristics of the Japanese and Korean languages. A similarity between Japanese and Korean is that they are both head-final agglutinative languages. Aoyagi will conduct a comparative study of how functional morphemes are combined in Japanese and Korean. In his work, he is using the principles and parameters approach proposed by Noam Chomsky; namely Universal Grammar (UG).
Achieving the Millennium Development Goals in Sub-Saharan Africa: A Macroeconomic Monitoring Framework

This paper presents a macroeconomic approach to monitoring progress toward achieving the Millennium Development Goals (MDGs) in Sub-Saharan Africa. At the heart of our framework is a macro model which captures key linkages between foreign aid, public investment (disaggregated into education, infrastructure and health), the supply side and poverty. The model is then linked through cross-country regressions to indicators of malnutrition, infant mortality, life expectancy and access to safe water. A composite MDG Indicator is also calculated. The functioning of our framework is illustrated by simulating the impact of an increase in foreign aid to Niger at the MDG horizon of 2015, under alternative assumptions about the degree of efficiency of public investment. Our approach can serve as the building block for Strategy Papers for Human Development (SPAHD), a more encompassing concept than the current Poverty Reduction Strategy Papers.
Korean Text to Gloss: Self-Supervised Learning approach

Natural Language Processing (NLP) has grown tremendously in recent years. Typically, bilingual, and multilingual translation models have been deployed widely in machine translation and gained vast attention from the research community. On the contrary, few studies have focused on translating between spoken and sign languages, especially non-English languages. Prior works on Sign Language Translation (SLT) have shown that a mid-level sign gloss representation enhances translation performance. Therefore, this study presents a new large-scale Korean sign language dataset, the Museum-Commentary Korean Sign Gloss (MCKSG) dataset, including 3828 pairs of Korean sentences and their corresponding sign glosses used in Museum-Commentary contexts. In addition, we propose a translation framework based on self-supervised learning, where the pretext task is a text-to-text from a Korean sentence to its back-translation versions, then the pre-trained network will be fine-tuned on the MCKSG dataset. Using self-supervised learning help to overcome the drawback of a shortage of sign language data. Through experimental results, our proposed model outperforms a baseline BERT model by 6.22%.
Perancangan dan Integrasi Smart Touch Presenter Kit-Portable Interactive Surface dalam pembelajaran Hybrid Learning System

The health crisis caused by the covid-19 virus outbreak has given birth to online learning in all parts of the world until the covid-19 pandemic ends, so that in this condition the government urges the government to innovate and adapt related to the use of available technology to support the learning process. All elements in learning such as teachers, lecturers and students are required to carry out a large-scale transmission that has never been done before from conventional learning (offline) to online-based learning. Some of the obstacles that often occur are caused by inadequate IT learning support infrastructure so that there is a range of learning losses. For this reason, learning IT devices that are cheap, ergonomic and fulfill all aspects of learning are carried out to solve the problems in this research, thus this paper proposes a device, namely smart projection low-cost interactive surface (SP-LCIS) as one of the solutions for supporting devices in implementation of Hybrid Learning System learning. In this research observation conducted at SMKN 3 Jember it was found that 99% of the devices run very well and provide added value in learning and 1% feel that they increase their preparation time, such as having to learn how to operate them effectively.
Implementasi Particle Swarm Optimization untuk Optimasi Fuzzy-Social Force Model pada Sistem Navigasi Robot Omnidirectional

Particle Swarm Optimization (PSO) is a swarm-based optimization method that is easy to implement and requires only a few parameters to set. This study aims to implement PSO to optimize the Fuzzy-Social Force Model (FSFM). FSFM combines the Social Force Model (SFM) as a navigation algorithm and the Fuzzy Inference Rule (FIS) to produce adaptive gain on SFM to create a mobile robot navigation system that is more responsive to obstacles. The PSO implementation optimizes fuzzy rules to be more optimal when the mobile robot navigates into social spaces. From the experimental test results on the VREP simulation software, cognitive parameter c1 = 1 and social parameter c2 = 2 produced the best navigation performance compared to other test parameter values.
Optimasi K-Means dengan Algoritma Genetika untuk Target Pemanfaat Air Bersih Provinsi Riau

Clean water is an important thing in human life. Several actions have been taken by the government to meet the clean water needs of the Riau province. One of them is the Community Based Drinking Water and Sanitation Provision program. Before carrying out activities related to the provision of clean water to the community, the targets to be achieved for the provision of clean water in the future will be determined. This study aims to klaster clean water beneficiary targets using the k-means algorithm with an optimization of the centroid value using a genetic algorithm. Average silhouette number is used to get the optimal number of klasters, which is two klasters. The results of klaster validity were measured using the Davies Bouldin Index (DBI) method where klasterization without optimization resulted in a DBI of 2.164763 and the results of klasterization by carrying out genetic optimization on the centroid value resulted in a DBI value of 2.06894.
Analisis Penerapan Augmented Reality Sebagai Strategi Pemasaran: Uji Black Box dan Korelasi

Traditional marketing no longer ensures greater revenue. Businesses in the advertising industry are also feeling the effects of this circumstance. People with a lot of mobility have less time to go shopping and visit stores. The demand for seeing product designs continues to rise, yet many people are unable to attend in person, resulting in greater time spent at work. Entrepreneurs must alter their marketing strategy to address these issues utilizing technology that is simple to use and available at all times. The goal of this research is to design an Augmented Reality (AR) application that can be used on a smartphone and can process sales via the internet. Black Box, light intensity, and the proper distance are used to create and test applications for functioning so that product photos seem at their best. The existence of the app also generates a strong correlation between customer interest of product and desire to purchase it. This is demonstrated by a correlation test with a value of 0.673191. It is envisaged that the designed application can aid advertising enterprises in enhancing marketing and sales.
THE UTILIZATION OF GEO VISUALIZA THE UTILIZATION OF GEO VISUALIZATION TO DETERMINE THE FINAL WASTE DISPOSAL LOCATIONS IN BANYUMAS REGENCY

ABSTRACT&#x0D; &#x0D; The increasing population in Banyumas Regency has consequently impacted on the increasing amount of waste to manage. The old final waste disposal places are no longer capable to hold the amount of waste produced by the people of Banyumas Regency. Thus, Banyumas Regency has recently been in the emergency state dealing with its waste management. Banyumas Regency requires new final waste disposal locations since the old ones are no longer feasible. Thus, it is required to find new final waste disposal locations. This research employed a descriptive method with a spatial approach. The geographic information system (GIS) was performed to determine the final waste disposal locations by using the weighing and scoring method followed with the overlay maps. Those maps included the administrative map, river map, land-use map, waste-risk area map, flood-prone-area, landslide-prone area, earthquake-prone-area, fault map, slope map, rainfall map, and population density map. The results of this research show that the alternative final waste disposal locations in Banyumas Regency are best located in Kalibagor district covering the areas of Srowot, Kalisorga Wetan, Petir, and Pajerukan Village; while in Purwojati district covering the area of Purwojati and Karangtalun Kidul Village.&#x0D; &#x0D; Keywords: spatial analysis, Final Waste Disposal, waste
Computer-aided Diagnosis of Various Diseases Using Ultrasonography Images

This paper is an exhaustive survey of computer-aided diagnosis (CAD) system-based automatic detection of several diseases from ultrasound images. CAD plays a vital role in the automatic and early detection of diseases. Health monitoring, medical database management, and picture archiving systems became very feasible with CAD, assisting radiologists in making decisions over any imaging modality. Imaging modalities mainly rely on machine learning and deep learning algorithms for early and accurate disease detection. CAD approaches are described in this paper in terms of their significant tools; digital image processing (DIP), machine learning (ML), and deep learning (DL). Ultrasonography (USG) already has many advantages over other imaging modalities; therefore, CAD analysis of USG assists radiologists in studying it more clearly, leading to USG application over various body parts. So, in this paper, we have included a review of those major diseases whose detection supports "ML algorithm" based diagnosis from USG images. ML algorithm follows feature extraction, selection, and classification in the required class. The literature survey of these diseases is grouped into the carotid region, transabdominal & pelvic region, musculoskeletal region, and thyroid region. These regions also differ in the types of transducers employed for scanning. Based on the literature survey, we have concluded that texture-based extracted features passed to support vector machine (SVM) classifier results in good classification accuracy. However, the emerging deep learning-based disease classification trend signifies more preciseness and automation for feature extraction and classification. Still, classification accuracy depends on the number of images used for training the model. This motivated us to highlight some of the significant shortcomings of automated disease diagnosis techniques. Research challenges in CAD-based automatic diagnosis system design and limitations in imaging through USG modality are mentioned as separate topics in this paper, indicating future scope or improvement in this field. The success rate of machine learning approaches in USG-based automatic disease detection motivated this review paper to describe different parameters behind machine learning and deep learning algorithms towards improving USG diagnostic performance.
Translation Technology in Hong Kong

This chapter describes the development of translation technology in Hong Kong, which mainly focuses on research and teaching in tertiary institutes. The former covers a wide range of topics and is conducted by scholars particularly from the disciplines of translation, computational linguistics and computer science and engineering. The latter includes programmes and courses offered in various universities. In addition, a few representative applications are also mentioned.