Reviewerly/exHarmony huggingface dataset:
Multi-system platform collaborative electronic music system research and implementation

The development of electronic computer technology has its origin in electronic music, which provides a certain support on the basis of creation. It can have a rich knowledge base and software usage functions to meet the needs of the outside world, and its advantages allow the system to show further development. For some time, due to interface problems between systems, software repairmen and electronic musicians have developed in unison to the good, and have satisfied the continuous improvement of electronic music and the interesting soul of notes. This reflects a different phenomenon in electronic music, that is, the collision of hardware and software creates a fierce spark, the difficulty of development is getting more and more difficult, and the price is rising. For many users, these very complex systems for them are not all of their own can be used, some functions may not be useful, but users need to pay a lot for these idle functions, for some users, complex systems are mostly less flexible, can not meet the special field of artistic operations and their needs. Based on the computer network era, there are network communication technologies and interface technologies to operate in a comprehensive manner; The absolute factor of the operation function makes it possible for different operations to be related to each other and the affirmation of the function, which can be more simply communicated between data, and the obstacle can be erased under sharing. The calculation results of different hardware systems are also different, and they also consume a considerable cost to achieve, because these technologies, we will use many different systems to implement the protocol between the various platforms, etc., so that we can more easily build the effectiveness of the electronic music creation platform. This paper attempts to discuss and study from many aspects of the system's software, system creation platform, communication protocol, etc., and has used to find out the uncertainty of different hardware and software to facilitate the establishment of electronic music multi-system platforms.
InfraredTags Demo: Invisible AR Markers and Barcodes Using Infrared Imaging and 3D Printing

We showcase InfraredTags, which are 2D markers and barcodes imperceptible to the naked eye that can be 3D printed as part of objects, and detected rapidly by low-cost near-infrared cameras. We achieve this by printing objects from an infrared-transmitting filament, which infrared cameras can see through, and by having air gaps inside for the tag’s bits, which appear at a different intensity in the infrared image.
Wemoji: Towards Designing Complementary Communication Systems in Augmented Reality

Augmented Reality (AR) can enable new forms of self-expression and communication. However, little is known about how AR experiences should be designed to complement face-to-face communication. We present an initial set of insights derived from the iterative design of a mobile AR app called Wemoji. It enables people to emote or react to one another by spawning visual AR effects in a shared physical space. As an additional communication medium, it can help add volume and dimension to what is exchanged. We outline a design space for AR complementary communication systems, and offer a set of insights from initial testing that points towards how AR can be used to enhance same-time same-place social interactions.
Interpersonal Communication And Impression Management In Digital Environments: An Examination On Tiktok

Interpersonal communication and communication processes have evolved as a result of the widespread use of digital communication technology. In these situations, people display how they present themselves and engage with others by employing a variety of impression management techniques. Interpersonal communication, which is defined as the capacity to convey one's feelings and ideas to individuals or groups of people, is one of the core communication skills. Impression management refers to the deliberate control of behavior to shape the views of others. Concerned with how people are regarded by others or would like to be perceived by others, impression management tactics fall under this category. This study examines how user comments and Instagram shares for Tiktok Turkey relate to techniques for handling public perception and interpersonal communication. It is advantageous to use Jones and Pittman's impression management taxonomy. Tiktok Turkey’s Instagram account served as the study's sample. The main purpose of this study is to analyse the interpersonal communication tools and impression management tactics that Tiktok uses when sharing Instagram pages with interpersonal communication skills and components in the context of Jones and Pittman's Impression Management Classifications and content analysis techniques. Emojis, hashtags, videos, photographs, text sharing, user comments, expert opinions, and tagging were among the interpersonal communication tools that were discovered when the share-outs of the Tiktok Instagram account were taken into account. Considering the share-outs; it turns out that Intimidation and Supplication are not used as impression management tactics, however, Self-promotion, Ingratiation, and Exemplification are commonly used as impression management tactics. Self-promotion has proven to be the most commonly used impression management tactic. This research is expected to contribute to the topics of interpersonal communication, impression management, digital impression management, and new communication technologies in the digital environment.
Introduction to The Economics of Blockchain and Cryptocurrency

Blockchain is an institutional technology. It allows users to create secure, self-administering contracts that coordinate activity among users. Blockchain also includes rule frameworks that are akin constitutions that constrain and enable activity on the blockchain. These frameworks themselves may be subject to alteration according to still some higher level set of rules, and so on. This volume view blockchain not only as a means of supporting monetary transactions, but of developing self-administering ecosystems that, for example, provide transferable property rights, support time separated exchange, and enable governance of resource use by blockchain participants. To the extent that blockchain can be sustainably integrated across these and other domains, this technology can support the opening of new and development of existing domains of economic and social organization through reduction of transaction costs.
Institutional cryptoeconomics

In this chapter we set out an economic framework that explains the impact blockchain technology will have on the economy. Blockchain is not just a new general purpose technology, it is a new institutional technology that will dramatically change economic behaviour because it changes the nature of transaction costs within the economy. Blockchain is best understood as an economic phenomenon with reference to the work of Ronald Coase and Oliver Williamson.
Temporal Phenomics – A Powerful Approach Using AI to Achieve “Earlier Medicine”

The resurgence of machine learning AI has triggered the importance of collecting "personal big data" over a long period of time from wearable devices and EHRs. Collecting data from this large number of variables over a significant period of time has further induced the study on "Temporal Phenomics", which can be a powerful approach to achieve pre-emptive and "earlier medicine". The paper presents a methodology to make studying "Temporal Phenomics" more feasible and convenient without limitations on the number of variables and the length of time periods.
Informatics Opportunities and Challenges in Medical Imaging: A Journey

The role of the field of informatics in medical imaging is vital; novel or adapted informatics’ core methods can be employed to realise innovative information processing and engineering of medical images. As such, imaging informatics can assist in the interpretation of image-based, clinically recorded evidence. This, in turn, leads to the generation of associated actionable knowledge to achieve precision medicine practice. The discipline of informatics has the power to transform data to useful clinical information patterns of observable evidence and, subsequently to generate actionable knowledge in terms of diagnosis, prognosis, and disease management. This paper presents the author’s personal viewpoint and distinct contributions to innovations in the acquisition and collection of imaging data; storage, retrieval, and management of imaging information objects; quantitative analysis, classification, and dissemination of imaging observable evidence.
Development novel collision approach for particulate flows

Abstract With technology development, there is a growing need for an accurate simulation tools, allowing the best possible representation of the reality. Developed model found not only application in prototyping process but can provide significant knowledge into the artificial intelligent model extending their comprehension. Computational performance and accuracy of the numerical model, dedicated for granular flows are mostly a function of mathematical model that track the mutual interaction between particles. Currently the kinetic theory of granular flow or soft- and hard-sphere collision models are used for modeling particle interactions. Each of them suffers from some imperfection that often limit the problem sizes. The purpose of this work is building new mathematical approach, not only fast, but also accurate regarding predicting collisions and determining particle trajectories by application of machine learning technique.
Applicability analysis of attention U-Nets over vanilla variants for automated ship detection

Abstract Accurate and efficient detection of ships from aerial images is an intriguing and difficult task of extreme societal importance due to their implication and association with maritime infractions, and other suspicious actions. Having an automated system with the required capabilities indicates a substantial reduction in the related man-hours of characterization and the overall underlying processes. With the advent of various image processing techniques and advancements in the field of machine learning and deep learning, specialized methodologies can be created for the said task. An intuition for the enhancement of existing methodologies would be a study on attention-based cognition and the development of improved neural architectures with the available attention modules. This paper offers a novel study and empirical analysis of the utility of various attention modules with U-Net and other subsidiary architectures as a backbone for the task of computationally efficient and accurate ship detection. The best performing models are depicted and explained thoroughly, while considering their temporal performance.
PENERAPAN MODEL PEMBELAJARAN GROUP INVESTIGASI DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS XI SMA NEGERI 1 SIDAREJA

This study aims to find out how the teaching and learning process using the group investigation model can improve mathematics learning outcomes in class XI MIPA 1 students at SMA Negeri 1 Sidareja with 36 students. This type of research is Classroom Action Research. The research was conducted in two cycles, the data on mathematics learning outcomes were carried out by tests, namely pre-test and post-test each cycle, test results were analyzed using qualitative and quantitative analysis methods. The research used the observation method and the test method. The results showed that 1) the group investigation model could improve the mathematics learning process, namely 29.75 quite optimal categories in the first cycle to 52.5 very optimal categories in the second cycle and the results of group work were 28.75 sufficient categories in the first cycle increased to 47 ,63 good category in cycle II. 2) The increase in Mathematics learning outcomes on average from 61.39 in cycle 1 to 73.06 in cycle 2 and classical completeness in cycle 1, which is 47.23% to 86.11% in cycle II. Based on the results of the analysis and discussion, it is concluded that the application of the group investigation learning model can improve mathematics learning outcomes and can change behavior patterns for students and teachers, namely fostering courage, self-confidence, creativity, innovation and a sense of teacher responsibility in implementing process standards, as well as performance. teachers can improve. ABSTRAKPenelitian ini bertujuan untuk mengetahui bagaimana proses belajar mengajar dengan menggunakan model group investigation dapat meningkatkan hasil belajar matematika pada siswa kelas XI MIPA 1 SMA Negeri 1 Sidareja dengan jumlah siswa 36 orang. Jenis penelitian ini adalah Penelitian Tindakan Kelas. Penelitian dilakukan dalam dua siklus, data hasil belajar matematika dilakukan dengan tes yaitu pre tes dan pos tes setiap siklus, hasil tes dianalisi menggunakan metode analisi kualitatif dan kuantitatif. Penelitian menggunakan metode observasi dan metode tes. Hasil penelitian menunjukan adanya 1) model group investigation dapat meningkatkan proses pembelajaran Matematika yaitu 29,75 kategori cukup optimal pada siklus I menjadi 52,5 kategori sangat optimal pada siklus II dan hasil kerja kelompok adalah 28,75 kategori cukup pada siklus I meningkat menjadi 47,63 kategori baik pada siklus II. 2) Peningkatan hasil belajar Matematika rata-rata pos tes 61,39 siklus 1 menjadi 73,06 pada siklus 2 dan prosestase ketuntasan klasikal pada siklus 1 yaitu 47,23% menjadi 86,11% pada siklus II. Berdasakan hasil analisi dan pembahasan disimpulkan bahwa penerapan model pembelajaran group investigation dapat meningkatkan hasil belajar matematika dan dapat merubah pola perilaku bagi siswa dan guru, yaitu menumbuhkan keberanian, rasa percaya diri, kreasi, inovasi dan rasa tanggung jawab guru dalam mengimplementasikan standar proses, serta kinerja guru dapat mengalami peningkatan.
Pemetaan Mosaic Plot dalam Menganalisis Fundamental Saham Perusahaan pada Aplikasi IPOT IndoPremier Securitas

For investors who invest, the selection of issuers is made by considering a company's fundamentals. Several digital securities applications can be used, including Indopremier Sekuritas ipot. However, the analysis is difficult for layman who does not master the basics of finance and business. Therefore, we used a mosaic plot by mapping financial statement data into bar charts. The results showed that the Mosaic plot could present the company's characteristics based on its performance in managing capital from shares so that it can be a reference for investors in considering the selection of issuers based on investment objectives.
WEB-BASED INFORMATION SYSTEM DESIGN OF SATE CILEBUT STORE

Selling is a concerted effort to develop a strategic plan aimed at satisfying the needs and buyer desires to generate profitable sales. With the development of information and communication technology, the authors propose designing a web-based kedai sate information system, a system that can produce information accurately, efficiently, on time, and relevant and can be linked between admin, finance, and warehouse to improve in each area performance. The design of this information system is expected to be able to promote via the internet and administrators can process data on purchases and sales so that the data reporting system can be found easily, quickly, and accurately.
INCREASING CADRE COMPETENCE AS MENTORS FOR PREGNANT WOMEN

Background Pregnancy is a woman's maturation process that requires adaptation to become a mother. This role change is not an easy thing and a companion or mentor is needed. Mentoring for pregnant women is done by optimizing human resources in the community. Method: The activity was carried out in Bandarharjo Village, North Semarang sub-district, Semarang City with 36 potential mentors. The activities were divided into 5 (five) stages, namely (1) Socialization, (2) competency improvement, (3) Practicum (4) Monitoring and evaluation. Results: The pre-test describes that most of the mentors have a low level of knowledge, namely 24 people (66.7%), have a bad attitude as many as 20 people (55.6%), and do not have good mentoring skills. Post-test data obtained, that most of the mentors have moderate knowledge, namely as many as 22 people (61.11%), 34 people (94.4%) have a good attitude and as many as 34 people (94.4%) have moderate skills. Conclusion: There is an increase in the knowledge, attitudes, and skills of mentors after being given training.
DIGITALIZATION OF THE TSANAWIYAH MADRASAH EDUCATION PROCESS IN CIMACAN DISTRICT, CIANJUR REGENCY IN SUPPORTING SMART VILLAGES

The strong current of globalization has driven advances in technology, information and communication which then brought and forced changes in governance for various sectors, ranging from education, business to government. Communication technology is seen as capable of acting as an effective and efficient solution to a problem. One of the main phenomena of this technological advancement is the emergence of the Industrial Revolution 4.0. The Industrial Revolution 4.0 is marked by the widespread use of the internet, with sensors that are getting smaller, stronger and cheaper. School Digitization is an implementation of new learning, which is prepared to face the industrial revolution 4.0. The characteristics of the new learning are student-centered, use multimedia, prioritize collaborative work, exchange information, and encourage critical thinking and problem solving. Students do not only learn in conventional ways by listening to lectures from teachers and reading textbooks. However, they are challenged to collect relevant information, collaborate with friends, and solve problems from the problems they face and present them.
Rainbow Tables: How Far Can CPU Go?

Abstract Rainbow tables are techniques commonly used in computer security to invert one-way functions, for instance to crack passwords, when the domain of definition is reasonably sized. This article explores the limit on the problem size that can be treated by rainbow tables when the precomputation and the attack phases are both CPU-driven. We conclude that the bottleneck is no longer the memory as it may have been and the precomputation phase seems to have been underestimated so far. We offer a comparison of what can be done on different environments depending on the needs and available computing power of the users.
Awareness and Usage Reference Management Tools and Referencing Styles among Faculty Members of University of Tamil Nadu, India

This paper studied about to identify the Awareness and Usage Reference Management Tools and Referencing Styles among Faculty Members of University of Tamil Nadu. The online questionnaires were used to collect the data in the universities among the faculty members and 200 questionnaires were distributed, 189 questionnaires were filled, and returned for usable by the participant and remaining not replied. The responses rate is 95.94.50%. The ‘Female’ faculty members’, 3(1.59%) of them ‘Fully Unaware’, 6(3.17%) of them ‘Slightly Aware’, 18(9.52%) of them ‘Somewhat Aware’, 32(16.93%) of them ‘Moderately Aware’ and 12(6.35%) of them ‘Fully Aware’. And also the faculty members have given first priority to the ‘APA. ‘MLA and ‘Chicago’ are the familiar referencing styles and the second and third preference respectively.
Analytic Thinking as Revealed by Function Words: What Does Language Really Measure?

Understanding how people think is a key interest in psychology, and recent advances in automated text analysis have used a verbal analytic thinking index to approximate Kahneman’s System 2 (e.g., deliberate, deep thinking). That is, prior work used a style word index to assess university student admissions essays and observed that those who used more articles and prepositions relative to storytelling words (e.g., pronouns) had higher grades at the end of college. This work presumed that verbal analytic thinking represented one’s cognitive ability or intellectual potential, but this presumption has remained untested. The current research evaluated if verbal analytic thinking is indeed a reflection of cognitive ability or one’s interest and motivation to engage in deep thinking, called need for cognition. Across 500 participants and two writing samples, the most reliable link to verbal analytic thinking was need for cognition, addressing an untested empirical question in psychology of language research.
Improving Javanese Letter Reading Skill through the Iqro Script Method

This study aims to improve reading skills through the application of the Iqro 'method and in particular to determine the improvement of students' skills in reading Javanese characters in class VII students of SMPN 1 Banyudono Boyolali. The subjects of this study were teachers and students of class VII SMPN 1 Banyudono Boyolali, while what was observed in this study was fluency and thoroughness which led to students' skills in reading Javanese script and student activities in learning. Data collection techniques are carried out through observation, interviews, tests, and documentation. The data were analyzed using an interactive analysis model which consisted of examining all the data that had been collected, reducing the data, and making conclusions. The results showed an increase in reading skills. Prior to the implementation of the measures obtained by the average value of 63.03 with 29% completeness study, in the first cycle the average value obtained with mastery learning 68.07 79%, and the second cycle increased reading skills significant value an average of 74.96 and mastery learning 93%. Based on the results of this study, it was concluded that learning with the application of the Iqro 'Aksara method could improve the reading skills of Javanese script students of class VII SMPN 1 Banyudono Odd Semester 2022/2023.
A Preliminary Study to find the Pattern of Infectious Diseases in Buner

Proper education of common men about the life threating infectious diseases in the surrounding is very much important in the modern therapeutic approaches. This study was carried out to find the most common devastating diseases in Buner region, the incidence and pattern of diseases were also determined. A total of 2354 hospital visited suspected patients were diagnosed for the presence of various infectious diseases in three main laboratories of District Buner (Riaz clinical laboratory, Azeem clinical laboratory and Bilal medical trust hospital laboratory). Out of total 2354 individuals 378 (16.05%) were positive for the infectious diseases. The major pathogenic disease in the studied area were Typhoid (salmonella typhi), H. pylori (helicobacter pylori), Malaria (Plasmodium), hepatitis C (hepatitis C virus) and hepatitis B (hepatitis B virus). Among the 378 patients screened for infectious diseases 243 (64.285%) were females and 135 (35.714%) were males. The incidence of each infections or diseases were maximum in the age group of 21-30 years old infected patients. The month wise distribution of each disease was different than the others. This study will attract the attention of government and non-government organizations towards the major health issues in Buner and would further encourage research work on these devastating diseases. The study will also uncover the involved disease factor and will help to control life threating diseases in future. Keywords: Infectious disease, Typhoid, H. pylori, Malaria