Reviewerly/exHarmony huggingface dataset:
Ethical Requirements and Management Standards for the Sharing and Re-use of Scientific Data in Healthcare and Medicine(X) Suggestions on the Solution of Property Right and Owership for Big Data

The property rights and their ownership of data is the basis of rights and interests’ distribution during data sharing and applications.It is an important problem to be solved for sustainable data sharing. At present,there is a lack of recognized solutions to identify the property rights of data, especially big data in healthcare and medicine. According tothe author, big data has possessed the attributes of commodity and property rights.A potential solution of the cognizance and ownership of property rights for big data in healthcare and medicineunder the legal framework of existing property rights(including intellectual property rights)was suggested. The ownership of personal data and integrated data should be clearly stipulated by law. In addition, the corresponding property rights of big data should be defined or authorized through detailed rules. To big data in healthcare and medicine, ethical factors should be consideredin identification of property rightsand legal resrictions on these rights, so as to balance between individual interests and social public welfare.
Quae nec pernumerare curiosi / Possint nec mala fascinare lingua: quantificazione numerica indeterminata in latino

According to their nature, the cardinal numerals define quantities and measures accurately.Nevertheless, in the conversational commonplaces of languages, the cardinal numerals can mean generic, indeterminate, and approximate quantities.The values expressed by these locutions are often situated on the two opposite poles of the numerical scale: they can signify a 'small', 'very small' amount or a 'great', 'enormous' sum.Similar expressions are used by almost every linguistic community.The numeral involved and the lexeme matched may change according to sociolinguistic variations: geographic (diatopic) differences, communicative contexts (diaphasic), and sociocultural stratifications (diastratic).Even in Latin, there are expressions of the same kind, typical of colloquial uses.For instance, 'one hundred' and 'one thousand' designate a large or a huge quantity: Da mi basia mille, deinde centum, Dein mille altera, dein secunda centum (Catull., carm.5).Our analysis will focus on indeterminate quantifications in Latin locutions with numerals, starting from examples showed by Catullus' Liber.
The past and future of hand emoji

Human handshapes have been encoded as emoji since the earliest implementations. The flexible and accessible semantic domain of human gestures has continued to provide a source of new emoji. We provide an overview of the history of hand gestures in the Unicode emoji set. We then discuss the utility and challenges of encoding hand emoji, as well as the current direction being taken by Unicode.
Determinants of Satisfaction of Open Online Courses

With the rise of online education platforms, the online education industry has also developed rapidly.From the perspective of students, this research investigates the current status of student's satisfaction of online massive online open courses (MOOC) and corresponding determinants based on their comments.This paper uses the method of text mining to analyze the reviews relating four courses on MOOC website, which are Web front-end development, Introduction to Artificial Intelligence, C language, and data structure.It is revealed that factors such as famous of teacher, course characteristics, detailed contents, easy to understand, and learning reference are crucial for students to keep satisfaction on online course.These findings are helpful for online courses operators to enhance the service quality and keep learner's devotions.
Melody (Exercises 1–20)

In this chapter, the exercises focus on the single melodic line. Exercises 1 to 6 are based on the idea of writing melodies with given pitch collections (ordered and unordered), using focal points and pitch collections that have elements in common. The goal of frameworks 7 and 8 is to compose melodies using concatenated triads; 9 and 10 focus on the use of segments (of equal and unequal duration); 11 proposes the “translation” of a given image into sound; 12 through 14 incorporate the concept of integer notation. Simple use of probabilities is the basis of exercise 15. Numbers 16 and 17 use 12-tone rows and simple transformations. In 18 the objective is to use analysis (specifically the inventory of interval types from a given melody) in a creative way. Exercises 19 and 20 use the concept of simple melodic motifs and processes of elimination to compose melodies.
VPN flaw could put users at risk

An attack on virtual private networks could see people sent to fraudulent websites
일본군 점령시기 상하이 작가 선지(沈寂) 소설 연구 ― 문학과 매체의 관계를 중심으로

The purpose of this study is to research Shen Ji’s short stories and novellas in Shanghai under Japanese ruling, 1942-1945. Shen Ji (1924-2016) was one of the most popular and successful writer of the time, though, he has been overlooked in the current scholarly works on occupied Shanghai’s literature. The main goal of this paper is to close read and examine about thirty short stories and novellas by Shen. This paper also challenges the previous nationalistic intepretation of “anti-Japanese” put on Shen’s novellas, offering a pulural reading of the novellas. This paper has no intention of disparaging interpretation of “anti-Japanese” resist, but rather to deny it’s final and only position in reading Shen’s novellas. To this end, this paper applies a perspective of media, a method heretofore unused in previous scholarly works, with a focus on relationships between Shen’s novellas and literary journals. Shen’s novellas are closely related to litrary journals which printed his works. To be specific, each journal’s charicteristics such as editorial strategies, political background, cultural orientation of editor-in-chief could influence on Shen’s writing. Chapter two and three respectively examines works printed in The Fiction Monthly and The Phenomena Monthly: While the former provided the opportunity for Shen Ji, an obscure writer, to publish early works; the latter supported him to gain the fame as well as provided guidance about writing. During the period of prosperity, Shen mainly published his novellas in The Miscellany Monthly and The Spring and Autumn Monthly. In the former, Shen produced popular novellas which would increase the number of subscribers; In the latter, Shen wrote novellas in which locality and ciriticism were combined in an ambiguous manner.
Improving MGMP teachers’ self-efficacy through technical guidance in learning from home program

The target of this technical guidance was secondary teachers of natural sciences, social sciences, and language who were members of the Teachers Professional Development Forum or Musyarawah Guru Mata Pelajaran (MGMP) in Siak Kecil, Bengkalis Regency. This training aimed to provide digital literacy strengthening for teachers in designing, implementing, and evaluating home-learning programs. This technical guidance was carried out through an online platform (Zoom) and offline mentoring in the MGMP discussion forum. The technical guidance mechanism consists of training and simulations in designing digital learning media in PowerPoint presentations, video monologues, e-student worksheets, and e-modules using software applications such as Filmora, Explee, Sigil, and Kinemaster. The results of this technical guidance were increasing self-efficacy with indicators of confidence in completing tasks (high), internal motivation (high), persistence (high), and being able to overcome obstacles and difficulties (high). There was also an increase in teachers' digital literacy in the aspects of data awareness (good), data analysis skills (sufficient), and ability to focus (excellent). The assessment of the results also showed that participants could design and use applications to carry out digital learning from home. Overall, this technical guidance positively impacted teachers' Continuing Professional Development (CPD), especially secondary teachers in Siak Kecil and Lubuk Dalam Sub-districts in Riau Province.
Workshop on Model Mining

How to mine the knowledge in the pretrained models is of significance in achieving more promising performance, since practitioners have access to many pretrained models easily. This Workshop on Model Mining aims to investigate more diverse and advanced manners in mining knowledge within models, which tends to leverage the pretrained models more wisely, elegantly and systematically. There are many topics related to this workshop, such as distilling a lightweight model from a well-trained heavy model via teacher-student paradigm, and boosting the performance of the model by carefully designing the predecessor tasks, e.g., pre-training, self-supervised and contrastive learning. Model mining as a special way of data mining is relevant to SIGKDD, and its audience including researchers and engineers will benefit a lot for designing more advanced algorithms for their tasks.
La clase en la modalidad virtual

La presencia de la modalidad virtual en la educacion superior se incrementa a partir del presente siglo, como resultado del desarrollo de las tecnologias de la informacion y la comunicacion (TIC), aspecto que, en la actualidad, por los efectos del Covid-19, se potencio. El presente trabajo analiza la clase virtual en cuanto a su contenido y organizacion. La investigacion que sirvio de base fue de caracter cualitativo, partiendo del analisis y sintesis de la bibliografia existente sobre la clase en la virtualidad y la participacion en ellas de las TIC. En la memoria escrita, luego de reflejar las posiciones y valoraciones de los especialistas, se presentan propuestas instrumentales que coadyuvaran a mejorar el desarrollo de la clase en la virtualidad.Palabras clave: Educcion superior, la clase, virtualidad, tecnologia. ABSTRACTThe presence of the virtual modality in the higher education is increased starting from the present century, as a result of the development of the technologies of the information and the communication (TIC), aspect that at the present time, for the effects of the Covid-19, has power. The present work analyzes the virtual class as for its content and organization. The investigation that served as base was of qualitative character, leaving of the analysis and synthesis of the existent bibliography on the class in the virtually and the participation in them of the TIC. In the written memory, after reflecting the positions and the specialists' valuations, instrumental proposals are presented that will cooperate to improve the development of the class in the virtually. Keywords: Higher education, the class, virtually, technology.
PERAN TRI PUSAT PENDIDIKAN DALAM MENGHADAPI PROBLEMATIKA PEMBELAJARAN DARING DI DAERAH 3T

Writing this article was motivated by a change in the education system in Indonesia due to the Covid-19 virus. Learning that was originally carried out face-to-face has shifted to online learning. This is the impact of efforts to break the chain of the spread of the Covid-19 outbreak by carrying out social restrictions. The implementation of online learning has its own challenges for the world of education, not least for the 3T (Frontier, Outermost, and Disadvantaged) regions, because the implementation is sudden and there has been no thorough preparation from the education provider institutions. The purpose of writing this article is to analyze how the problems of implementing online learning in the 3T area and how to solve these problems. The method in writing this article is the library method. The data collection technique used and used is the search for library sources in books, as well as from various journals related to references about related matters. From the findings of the authors, several online learning problems in the 3T area, including inadequate facilities and infrastructure, the lack of teachers' ability to use technology, low learning motivation among students, and the lack of government reach in distributing aid due to limited road access. These problems can be overcome by synergizing the three education centers. The role of the family in providing assistance to children during the online learning process is very important. In addition, the role of educational institutions and providers of education personnel must be extra in communicating with parents and students in online learning. No less important is the role of the community in helping parents accompany and motivate students in online learning. So, synergy between the three education centers is needed to achieve online learning goals in the 3T area.
Methodology of Using Virtual Education Technologies in Teaching Biological Sciences in Higher Educational Institutions

This article presents a methodology for using virtual learning technologies to increase the effectiveness of teaching biology in higher education institutions.
VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) APPLICATION FOR MONITORING LAND USE VIOLATION CASE STUDY: CIGANJUR FLOOD

Land in DKI Jakarta has problems in land use. Many land-use does not comply with planning. Illegal buildings are often found in areas designated for green open space and river boundaries. Land use monitoring requires the role of information technology. This research uses an open-source-based application to develop easier and cheaper. The application consists of a smartphone-based application for the process of reporting land-use violations with the concept of Volunteered Geographic Information (VGI). The application can directly analyze verified data with spatial planning. The analysis uses overlay analysis to see the location and extent of violations in land use. The results of the analysis can be used as a basis for local governments to impose punishment on illegal buildings and to plan for future cities.
Analisis Pola Asuh Orang Tua dalam Mendampingi Anak Belajar Selama Pandemi COVID-19

This study aims to analyze about the effectiveness of online learning of elementary school students in neighbourhood RT.009/03 Kebagusan during Covid-19 pandemic. This study used a qualitative exploratory method and the research approach used a qualitative case study method which was used to obtain information on the constraints and consequences of the Covid-19 pandemic on student learning at home. In this study, there were 5 respondents who lived in the neighborhood RT.009/03, Kebagusan. To maintain the confidentiality of the respondent's identity, the researcher gave the names of the respondents R1, R2, R3, R4, and R5. The results of this study are that there are several obstacles experienced by parents in online teaching and learning activities, namely the mastery of technology is still lacking, the addition of internet quota costs.
Sistem Informasi Motor Vehicle Loan Submission Pada PT.Bank Central Asia Tbk

The Motor Vehicle Loan Submission Information System is a motor vehicle loan application system funded by PT. Bank Central Asia Tbk because of the current trend of people wanting to own a motor vehicle but not by purchasing cash, which in this case means purchasing on credit with assistance from the bank. In the system of purchasing goods on credit, customers are generally required to pay a down payment, then the rest of the price of the goods is paid in installments over a certain period. The credit system at dealers is an alternative that is widely chosen, especially for financing Motor Vehicle Loans (KKB). In this study, the SWOT analysis method (Strengths, Weaknesses, Opportunities and Threats) is used with the aim of knowing what data are input and output on the running system. With this system, it can make it easier for customers to perform simulations and find out the installments to be paid. The result of this research is a Motor Vehicle Loan Submission Information System at PT. Bank Central Asia Tbk.
DiseaseDetectionthroughDeepLearningOverData Analyticsfrom HealthcareCommunities

Thesuitableassessmentoftherapeuticdataassistsearlydiagnosisofillness,tolerantconsiderations,and network administrations by providing enormous progress inbiomedicalandhealthcarecommunities.Predictabilityisreducedifthetypeofmedicalknowledgeisinsufficient.Thedifferentfieldsemergeatthattime,oneofthekindcharacteristicsofsomelocalillnessesthatmayweaken expectationsofdiseaseoccurrences.Inthisarticle,thedeeplearningtechniqueisusedtopredictendlessillnessesfeasibleinthehistoryofdiseasedetection.Alatentfactorsmodelisusedtoregeneratetheirrecoverabledatainordertoovercometheproblem ofpoorinformation.Hereanexperimentiscarriedoutonaterritorialchroniccerebralnecrosisinfection.CNN-MDRP (coevolutionary neural system based multimodal infection chance prediction)istheexplanationofthealgorithm usingorderedandunstructuredclinicalinformation.Apparently,none ofthe presentstudyestablishes the two kinds ofinformationinthetherapeuticfieldofhugeinformation.Incontrasttomanypredictionalgorithms,theaccuracyofthesuggestedapproachis94.5percentatacombinedspeedfasterthantheCNN-UDRP(basedcoevolutionaryneuralnetworkbasedunimodaldiseaseriskprediction)methodology
Design of an Earthquake Intensity Estimation System for Early Warning

Indonesia is located at the junction of three tectonic plates and has many active faults. The consequence of this tectonic arrangement makes Indonesia prone to earthquakes. Therefore, earthquake mitigation efforts based on an early warning system need to be done. The design of an earthquake strength estimation system, based on python, for this early warning, analyzes the initial phase of the first three seconds since the arrival of the P wave, using parameters in the form of Pd (the maximum amplitude of the first three seconds of the arrival of the P wave). The resulting tools and systems consist of hardware in the form of Raspberry Pi3B + and ADXL345. The system will detect in real time and automatically trigger an earthquake using the STA / LTA method. When the Pd and Td parameters have been obtained, the system will calculate and issue earthquake strength information, in the form of magnitude and intensity scale of earthquake damage MMI (Modified Mercally Intensity), which will then be sent automatically via the telegram application. Testing of tools and systems was carried out in an earthquake simulator, using the Padang earthquake parameters on 30 September 2009, 17:16:09 WIB. The results of the test produce an intensity scale of VIII MMI, these results are close to the results of the BMKG for the earthquake, with an intensity scale of VIII MMI. From these results the designed tools and systems can be used to provide early warning in the event of an earthquake.
A new hybrid system combining active learning and particle swarm optimisation for medical data classification

With the increase of unlabeled data in medical datasets, the labelling process becomes a more costly task. Therefore, active learning provides a framework to reduce the amount the manual labour process by querying an expert for just the labels of particular instances, the choice of these instances to annotate is paramount. However, the traditional active learning techniques can be computationally expensive as they require to analyse, at each iteration, all unlabeled instances including those that are redundant and uninformative, thereby decreasing the system performance. To handle this issue, it is necessary to have a global optimisation algorithm that allows finding the best solution in a reasonable time. This paper proposes a novel framework combining active learning and particle swarm optimisation algorithm. A novel uncertainty-based strategy was designed and integrated into the PSO as an objective function. This new strategy allows finding the most informative instances by calculating an uncertainty score using instance weighting method. Experiments were performed on binary and multi-class classification problems using both balanced and unbalanced medical datasets. Experimental results show that the proposed uncertainty strategy outperforms its existing counterparts. It achieves performances comparable to supervised methods.
An Introduction to Reinforcement Learning

Reinforcement learning (RL) is an area of machine learning that focuses on teaching intelligent agents how to take actions in an environment in order to maximize cumulative reward. Cumulative reward in RL is the sum of all rewards as a function of the number of training steps.
Statistical Machine Learning and Its Applications

This chapter aims to discuss some ongoing statistical machine learning methods and its applications by first providing a brief review of basic matrix calculations that commonly used in machine learningMachine learning algorithms and computations. The chapter will then discuss the concept of singular value decomposition (SVD) and its applications of SVD in the recommender systemsRecommender systems such as movie review ratings, and finally discuss the linear regression models.
PENERAPAN MODEL MAKE A MATCH DALAM PEMBELAJARAN FIKIH UNTUK MENINGKATKAN KETUNTASAN BELAJAR SISWA KELAS III MIN 20 ACEH BESAR

In finding the problem of jurispruding learning in class III-1 MIN 20 Aceh Besar and found that jurispruded teachers have not developed much learning model in teaching. Teachers use lecture methods, Q&A, discussions, have not used learning models, so students are less instrumental and motivated in learning. This learning condition causes students to be less enthusiastic about taking lessons, at the time of learning students sit more, listen, take notes and work on exercise problems. The author tries to apply a learning model that is considered suitable to activate students and will get the completion of student learning, namely the make a match model. The implementation of this make a match model by way of students looking for a pair of problem cards that match the answer card held by the student. Based on the research that has been carried out, it can be concluded that the completion of student learning in grades II-1 MIN 20 Aceh Besar in jurispruded subjects increased from a value of 71.42 (cycle I) to 92.85 (cycle II). Teacher activity increased from a grade of 90.71 (cycle I) to 94.44 (cycle II). Student activity also increased from a grade of 83.33 (cycle I) to 91.66 (cycle II). Thus there is an increase in the completion of student learning through the application of make a match model in jurispruding subjects in grades III-1 MIN 20 Aceh Besar.
Contribuição das ferramentas administrativas para a gestão de documentos o método de análise e melhoria de processos (MAMP)

Documents that are produced, received and accumulated by organizations are essential for decision-making, whether for proving rights, duties, as well as recording the memory of work processes. This denotes that organizations that do not have archival policies regarding standards, methods and procedures contribute to greater difficulty in accessing information. Considering this context, the research problem arises: what are the tools capable of assisting organizations in mapping their processes and contributing to document management? In order to guide the search for the answer to the problema-question of this research, it was established as a general objective to identify a set of administrative management tools, which combine complementary characteristics capable of mapping processes and information in the organizational environment and characterizing its connection with the document management process. As a theoretical foundation, concepts from Archivology, specifically RecordsManagement, and from Theory of Administration are used, in view of the process mapping tools appropriateto the theme. The research is characterized as qualitative, exploratory and descriptive, seeking to present the characteristics of the identified tools. As a result, it is proposed to use two tools that were analyzed in the work to be used together: the Method of Analysis and Process Improvement (MAMP), in an application hierarchy that provides the deepening of information collection, the details and registration of the processes and the graphic visualization of each procedural element studied.