Reviewerly/exHarmony huggingface dataset:
Competencias del docente, un estudio en la Universidad Autónoma de Zacatecas, México

The objetive is identify the competences considered to be developed by a university professor for their planning, management and dynamization. Teachers from the University of Zacatecas participated, it was a non-experimental quantitative exploratory study, comparative and correlational statistical analyzes were carried out. From the first it turned out that male teachers give importance to the ethical and empathic exercise of the profession, they also encourage reflection and criticism; on the other hand, women indicate that trust is fundamental, they consider promoting self-learning and fighting against communication barriers; both consider teamwork essential. While in the correlational study, information and communication technologies were identified as elementary to use new technological tools, management task is related to the delegation of task and these are related to group objectives. Based on the results, it is a commitment of those who want to educate, keep update in methods, competencies and skills so that the exercise of each of the degrees in which they impart their knowledge reflects to society the results of university work.
A Case Study Toward the Direct Language Learning Strategies of EFL Students

This case study aimed at investigating direct language learning strategies, their implementation, and the reasons beyond the uses of those strategies. Six third semester EFL students at a university in Kudus were purposively involved as the subjects. Questionnaires, interviews, and observations were deployed as the techniques of data collection. The data were analyzed using an interactive model. Triangulation was undertaken to reach the data’s credibility. The findings showed that 1) most of the students used memory, cognitive, and compensation strategies with the exception of one student using no cognitive strategy. 2) They implemented the memory strategy by using understandable new English words from novels, YouTube videos, and English songs into spoken utterances to drill their memories, and engaging friends into continuous practices as the implementation of cognitive strategy. The implementation of the compensation strategy was done by striving to retrieve similar English words from their memories and replacing the forgotten English words with Indonesian words to maintain their speaking fluency. 3) Their reasons for the memory strategy were to help the student make it easier to memorize English words, practicing English speaking using interesting media improved their self-confidence and fluent communicative abilities, and by adjusting alongside approximating messages and switching to mother tongue supported their English fluency.
Development Application Cash Management In Tunas Mulia Bantar Gebang Foundation With The Extreme Programming Method

The use of information technology that is implemented through an information system provides convenience for its users. The convenience obtained in using this information system is to facilitate data management and data retrieval based on predetermined categories. This phenomenon also applies to the Tunas Mulia Bantar Gebang Foundation. This foundation is an organization that serves out-of-school children from waste scavenger families around the Bantar Gebang TPA. Tunas Mulia Bangsa Foundation activities have several humanitarian programs, one of which is opening schools for scavengers from early childhood to high school. The problems faced by Tunas Mulia Foundation are (1) it is still difficult to record donors who provide assistance, (2) difficulty in identifying the types of receipts received by the Foundation, (3) difficulty in providing information on cash receipts and disbursements to donors because data management is still conventional, (4) difficulties in calculating or recapitulating activities that have been carried out, and (5) the absence of a system that displays complete data and information regarding student sponsorship activities carried out by Tunas Mulia Foundation. This research uses Extreme Programming development model in using Extreme Programming with four stages. It is hoped that the application that will be developed can be a solution to the problems faced by the Foundation regarding the management of incoming and outgoing cash. The target output of this research can be published in accredited national journals indexed by Sinta, HKI, and application prototypes.
Explaining AI as an Exploratory Process: The Peircean Abduction Model

Current discussions of Explainable AI (XAI) do not much consider the role of abduction in explanatory reasoning (see Mueller, et al., 2018). It might be worthwhile to pursue this, to develop intelligent systems that allow for the observation and analysis of abductive reasoning and the assessment of abductive reasoning as a learnable skill. Abductive inference has been defined in many ways. For example, it has been defined as the achievement of insight. Most often abduction is taken as a single, punctuated act of syllogistic reasoning, like making a deductive or inductive inference from given premises. In contrast, the originator of the concept of abduction---the American scientist/philosopher Charles Sanders Peirce---regarded abduction as an exploratory activity. In this regard, Peirce's insights about reasoning align with conclusions from modern psychological research. Since abduction is often defined as inferring the best explanation, the challenge of implementing abductive reasoning and the challenge of automating the explanation process are closely linked. We explore these linkages in this report. This analysis provides a theoretical framework for understanding what the XAI researchers are already doing, it explains why some XAI projects are succeeding (or might succeed), and it leads to design advice.
PENGGAMBARAN CITRA SEHAT DALAM IKLAN SABUN BATANGAN LIFEBUOY BAHASA INGGRIS (ANALISIS MIKROSTRUKTURAL DAN MAKROSTRUKTURAL)

The problems discussed in this research are (1) what are the microstructural aspects that build discourse on Lifebuoy bar soap advertisements? (2) What are the macrostructural aspects that build discourses on Lifebuoy bar soap advertisements? This type of research is a descriptive qualitative research. The data source used is the written data source for Lifebuoy bar soap advertisements which are downloaded from the official website of lifebuoy.co.id. The data in this study are in the form of words, phrases in lines on Lifebuoy bar soap advertisements that contain discourses on microstructural and macrostructural aspects. Data classification in this study was carried out by sorting and selecting data according to the research objectives of the discourse on microstructural and macrostructural aspects. The method of providing data in this study is the observation method. This method will be realized through advanced technique I: Speaking Free Talking Technique or SBLC technique and advanced technique II: note taking technique. This technique is carried out by taking data related to the problem being studied, namely the microstructural and macrostructural discourse. The methods and data analysis techniques used are the split method and referential equivalent method. Agih method is used to analyze microstructural aspects, namely grammatical and lexical aspects. The equivalent method is used to analyze the macrostructural aspects, namely contextual. The data presentation method used is the informal presentation method. The results of the discussion and data analysis show that: (1) The microstructural aspect of the data source is found markers of grammatical and lexical aspects. There were 39 reference markers, 0 substitution markers, 3 ellipsis markers, 32 conjunction markers, the most common markers were reference markers, (2) Macrostructural aspect implies that the dominance of reference markers is likely to indicate lifebuoy bar soap is the pioneer of health soap.
Recreating Solar Panels: An Integrated Approach

As solar power becomes increasingly popular as a clean and renewable energy source, there is a need to better understand the technology used to convert sunlight into electricity. Bell Labs first used the photovoltaic effect to harness the striking of photons on a solar panel to create an electrical charge. In my paper, I propose two novel methods to increase the efficiency of solar panels. The first method utilizes solar tracking and computer science to tilt solar panels to face directly toward the sun throughout the day to maximize photon strikes. The second method concentrates photons through a magnifying glass to maximize the surface area of light being focused onto the panel. Developing better approaches such as those suggested in my paper have the potential to make solar panels more efficient and affordable, thereby increasing the scope of the solar power market.
Role of entrepreneurial activities for Nigeria’s economic recovery and growth (a case of studying Nigerian enterprises)

The paper presents the empirical analysis of the effect of entrepreneurship activity on the economic recovery and growth using SMEs in Nigeria. Two cities from each of the six geopolitical zones and four sectors of the economy were selected for the study. The total number of the selected four sectors form the population of the study while the sample size is seven hundred and twenty. The analysis employs the Ordinary Least Square techniques and time-series data for the economic recovery. The study adopts the Phillips-Perron test procedure to examine the stationarity of the study variables. The Johansen Cointegration test was employed to establish the cointegration of the variables and the unrestricted Error Correction Model was used to examine the speed of the alteration to the equilibrium. It has been inferred that the entrepreneurship activity and ERG are integrated of order (1(0)). This is established by the explanatory power of the models result of R value of 0.274 and R2 approximated to 0.075. The result shows a low positive impact of entrepreneurial activities on ERG. The study proves that, despite the crash in oil industry, the entrepreneurship has contributed positively to the Nigerian economy although at a low level. The study suggests that the government should support the development of entrepreneurship
Modelling Support Systems for Selecting Professions for Applicants in the Content of Personalization of Education

Various methods are currently being used in examining the initial “START” knowledge of applicants and their for specialties. Studies show that applicants are placed on the decreasing principle in terms of their overall scores at universities. In this case, applicants with a high level of knowledge are placed in the prestigious specialties as medicine and law as they require high results. Though, while applying for other professions, the applicants do not perform enough results on the key disciplines for the profession, they are placed in those professions when the general results enable it. This causes them to face a number of problems while working both in education process and in the industry.To avoid this problem and to place applicants in a specialty that is more relevant to their level of knowledge, the introduction of an individual approach to the of initial level of knowledge may be more promising.This article presents a modeling of the evaluation – placement support system for the individual approach to assessing applicants' knowledge and positioning them in relevant specialties. The main goal of the system is to give each applicant the opportunity to choose and study the specialty that is more relevant to their knowledge and skills, as well as to analyze the results for each discipline along with the overall results. The system is implemented using fuzzy logic based artificial neural networks.The network consists of 100 neurons in the input layer, two hidden layers and one output layer. The number of neurons at the output is the same as the number of specialties taught at university.
A Comprehensive Survey on Lightweight Asymmetric Key Cryptographic algorithm for Resource Constrained Devices: review paper

Abstract Security algorithm designs for specific requirements such as user, availability and constraints of resources were on demand. Lightweight cryptographic algorithm became popular among researchers for resource constrained devices such as IoT devices, sensors, PDA’s, Mobile devices, Wearable devices, RFID and portable devices, Public key cryptography or asymmetric key cryptography plays a vital role for developing many such lightweight cryptographic algorithms. In this paper, many lightweight asymmetric key cryptographic algorithms such as Rivest Shamir Adleman (RSA), Elliptic Curve based Elgamal cryptosystem; Elliptic Curve Digital Signature Algorithm (ECDSA), Elliptic Curve Diffie Hellman Key Exchange Algorithm (ECDHE) and Elliptic Curve Cryptosystem (ECC) have been comprehensively reviewed with its characteristics and preferred applications. In addition, few related works are analyzed and suggestions for suitable target applications were provided. Hardware and software requirements for efficient implementation of such algorithms were also explored. Moreover, asymmetric key cryptographic techniques such as RSA and ECC are modeled using Vivado tool for target implementation on various FPGA devices. Further, techniques to enhance throughput, area and computation time were on the rise over the recent past, to improve frequency of the point multiplier module. Design strategies to overcome the bottleneck of complex computation in the multiplier block prove that the latency of ECC has significantly reduced when implemented on the advanced ZYNQ board. Also resource sharing techniques utilized to reduce the area suggests that it is a suitable candidate for IoT device application.
IMPELEMENTATION OF THE UNFIELD MODELING LANGGUAGE MODEL IN THE CRIMINALITY DATA PROCESSING INFORMATION SYSTEM: IMPELEMENTATION OF THE UNFIELD MODELING LANGGUAGE MODEL IN THE CRIMINALITY DATA PROCESSING INFORMATION SYSTEM

Implementation of Model Unfield Modeling Language in Information Systems Data Processing Criminality a system to provide information such as the report the complainant, witnesses, suspects, and criminal cases terjadi.sehingga help speed and quality in the provision of information. Unified Modeling results Langguage model implementation in the information system aims to facilitate the development of the information system which checks data processing, recording and reporting of data processed in digital form. This information system has access user is admin and user comprising leaders. This information system task criminality entering and storing data.
PERSENTASE KEPATUHAN DOKTER DALAM PENULISAN RESEP SESUAI FORMULARIUM OBAT OBAT TERTENTU DI RSU AL-ISLAM H.M MAWARDI PERIODE OKTOBER-DESEMBER 2018

AbstractHospital Formulary is prepared referring to the National Formulary. Hospital Formulary is a list of medicines agreed by medical staff, compiled by the Committee / Team of Pharmacy and Therapy established by the Hospital Management. Certain medicines that are often misused, hereinafter referred to as Certain Medicines, are medicinesthat work in the central nervous system other than Narcotics and Psychotropic, which in use above the therapeutic doses can cause dependence and specific changes in mental and behavioral activities. The objective of this study is to determine the percentage of doctor’s compliance in prescribing according to the formulary of certain drugs in the Al-Islam General Hospital H.M Mawardi from October to December 2018. This study uses a simple random sampling technique by counting the number of samples using the Slovin formula. Random sampling is taken every month as many as 100 prescriptions that are intended to determine the percentage of doctor's compliance in writing prescription of certain drugs according to the hospital formulary. Based on the research conducted at RSU Al-Islam H.M Mawardi, it can be concluded that in writing prescription of certain medicines, of 287 prescriptions (95.7%) were in accordance with the hospital formulary. And 13 prescriptions (4.3%) were not in accordance with the hospital formulary.
Measurement-based quantum feedback controls for quantum computation

Author(s): Zhang, Song | Advisor(s): Whaley, Birgitta | Abstract: The advance of experimental techniques in circuit quantum electrodynamics over last decadehas made it possible to monitor the evolution of qubits under continuous measurements in real time . This kind of measurements, as compared to the discrete ones, provides a stream of information for feedback to alter the system's quantum dynamics continuously in a desired manner, thus allowing broader possibilities. We obtain the information at a cost, the backaction on the states. However, the back-action turns out not to be just something disturbing and harmful to the control but instead can be harnessed, together with the control, to steer the system to our targets. This thesis discusses one such application, namely to use measurements to create entanglement from remote qubits under locally optimal control. It is illustrated that by carefully designing symmetric measurement and feedback operators, we can construct efficient Markovian or non-Markovian protocols which generate N-qubit W, general Dicke and Greenberger-Horne-Zeilinger states with high fidelity above 94% up to N = 100. In some cases, the fidelity even approaches unity. Following that, we describe how to take advantages of the continuous stream of information to protect the unitary dynamics of a quantum system subject to noises. We develop a practical protocol for continuous operation of a quantum error correcting code for protection of coherent evolution due to an encoded Hamiltonian against environmental errors, using the three qubit bit-flip code and bit-flip errors as a canonical example. We demonstrate, for both quantum memory and adiabatic Hamiltonians, that the protocol, once optimized, can significantly reduce logical errors with a performance which is close to the theoretical limit of the bit-flip code's capability. In the adiabatic Hamiltonian case, we also propose some novel correction operators instead of the conventional ones to further reduce the logical errors.
Sistem Rekomendasi Mata Kuliah Berbasis Ontologi Mata Kuliah Dan User Model

Abstrak Mata kuliah pilihan yang ada di S1 Informatika Telkom University sangat banyak. Hal ini menyebabkan mahasiswa sering bingung dalam menentukan mata kuliah pilihan apa yang harus mereka ambil. Pada penelitian kali ini, sebuah sistem rekomendasi untuk mata kuliah pilihan telah dibangun. Sistem yang dibangun menerapkan sebuah ontologi mata kuliah. Rekomendasi ditentukan berdasarkan peluang kecocokan mahasiswa tersebut dengan setiap mata kuliah pilihan berdasarkan nilai yang dimiliki mahasiswa tersebut pada mata kuliah prequisite. Hasil dari penelitian memperlihatkan bahwa sistem yang dibangun dapat memberikan rekomendasi yang akurat, di indikasikan dengan akurasi yang tinggi, 90%. Kata kunci : Ontologi, User Model, Rekomendasi Mata Kuliah, Mata Kuliah prequisite Abstract There are many elective courses offered in bachelor program of informatics at Telkom University. This condition often causes students confused to determine which elective courses they need to take. In this final project, a recommender system for elective courses has been developed. The tool applies an ontology of courses. Recommendations are performed based on the ontology and studentsâ€™ grades on prerequisite courses. Recommendations is determined based on probabilities for student suitability with each elective subject based on student grades in a prequisite course. The experiment results show the tool can give accurate recommendation, indicated by high accuracy, 90%. Keywords: Ontology, User Model, Course Recommendation System, Prequisite Courses
Тенденции академической мобильности в России: статистическая аналитика и прогностика

Introduction. Currently, the competitiveness of universities is determined by their level of internationalization, which cannot be imagined without academic mobility. This is reflected in world university rankings. Russian universities do not occupy leading positions in these ratings; they are losing their role in the global educational space. Today, it is necessary to make prompt, constructive decisions that contribute to the growth of academic mobility, however, the development of measures in this area is not possible without prospective estimates of indicators characterizing both the development of the internationalization of higher education and growth quality of education. In this regard, the purpose of the presented article is to build predictive scenarios for academic mobility in Russia.Materials and Methods. The research employs statistical methods of time series analysis and forecasting. Prospective values of the number of foreign citizens from various countries studying at Russian universities were obtained on the basis of exponential functions and adaptive forecasting methods. The choice of the model with the best forecast values is based on a formal-logical analysis coupled with a comparison of the main characteristics of accuracy and quality.Results. The article presents predictive scenarios of academic mobility in Russia: regressive, conservative, moderately optimistic. The obtained forecast results determine the possibilities of increasing the competitiveness of Russian education and improving the position of Russian universities in the world rankings only if highquality digital education is formed and developed on the basis of an infrastructure that ensures high technical reliability.Discussion and Conclusion. The proposed methodology and assessments of the prospective values of the targets for the growth of university academic mobility not only substantiate the expansion of the possibilities of using adaptive forecasting methods, which determines the scientific contribution of the study conducted by the authors, but can also be taken into account when adjusting/updating the planned values of indicators introduced into state initiatives to stimulate internationalization of Russian higher education, which points to the high practical importance of this article.
Spectral Design in Music

This chapter traces the emergence of the spectrum as structural concern in music composition, performance and production. The earliest signs of such developments are traced to the beginning of the 20th century, in the musical revolutions of that era. This is followed by the developments in audio technology, which brought to the fore the spectral qualities of sound. Post-war electronic music and computer music are shown to have played a decisive part in the conquering of the spectrum by composers. The latter part of the chapter discusses two case studies of spectral music writing.
The Azure Portal for Cognitive Services

This chapter will explore how you can get started with Cognitive Services on the Azure portal, and it includes an exploration of the common features. Next, the chapter will take you inside the Azure Marketplace for Bot Service, Cognitive Services, and Machine Learning.
Fieldwork via mobile interviewing during Covid-19 : A case study of Kanauji

This paper outlines a successful model for language documentation in the covid-19 era. A methodology for remote fieldwork via mobile interviewing was devised and utilized for data collection of Kanauji language. The entire process, results and challenges faced along with advantages are discussed in detail.