Reviewerly/exHarmony huggingface dataset:
Pharma Image Information Extraction Using Image Processing

In order to obtain better recovery and avoid any side effects it is critical that the patient should take correct medicine for the illness they are suffering with. It is important that the medicine that is taken should produce the maximum benefit for the person. This is the very important aspect of medication but we are finding many cases wherein the erroneous information about the drug might create bad affects on the people and tend to extend many problems instead of reducing the ailment. The main reason for this, is lack of information about the drug to the patient and some being illiterate or mind belief on the drugs. So as to overcome this issue Pharma Image Information Extraction using Image Processing is a medication application which helps you to view the medicine based on the symptoms to which the medicine is to be used at anytime, anywhere through your phone. It helps you to get the information of the medicine by just sitting at your house and taking the picture of the medicine. This paper mainly focuses on extracting the text on the tablet strip and offer correct information about the tablet and vice versa which helps the illiterates not to get cheated with the dubious medicines mapping to the symptoms he/she is suffering with.
Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina

With the arrival of the pandemic in Argentina in March 2020, a working group of scientists from two institutes belonging to the Faculty of Exact and Natural Sciences of the University of Buenos Aires and CONICET, together with colleagues from different academic institutions in the country, decided to put forth our experience and knowledge in data science and associated disciplines, towards helping with decision-making in the context of COVID-19. Data analysis within Argentina and other countries, scenario simulation, as well as rapid response projects- mainly in the province of Buenos Aires- were all within the scope of our aim. This review article outlines some of the activities carried out by our team throughout these pandemic months.
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems

Recent advances in deep learning have resulted in image compression algorithms that outperform JPEG and JPEG 2000 on the standard Kodak benchmark. However, they are slow to train (due to backprop-through-time) and, to the best of our knowledge, have not been systematically evaluated on a large variety of datasets. In this paper, we perform the first large scale comparison of recent state-of-the-art hybrid neural compression algorithms, while exploring the effects alternative training strategies (when applicable). The hybrid recurrent neural decoder is a former state-of-the-art model (recently overtaken by a Google model) that can be trained using backprop-through-time (BPTT) or with alternative algorithms like sparse attentive backtracking (SAB), unbiased online recurrent optimization (UORO), and real time recurrent learning (RTRL). We compare these training alternatives along with the Google models (GOOG and E2E) on 6 benchmark datasets. Surprisingly, we found that the model trained with SAB performs the better (outperforming even BPTT), resulting in faster convergence and better peak signal-to-noise ratio.
Penerapan Algoritma RAITA pada Kamus Akronim Bahasa Indonesia Berbasis Android

Indonesian is the language of Malay which is used as the official language of the Republic of Indonesia and the language of the unity of the Indonesian nation. The Indonesian language was inaugurated after the Proclamation of Indonesian Independence, to be precise the day after, at the same time as the enactment of the constitution. Indonesian as the language of unity and the language of the State in the Unitary State of the Republic of Indonesia has a very dominant function in all aspects of social life. An acronym is an abbreviation in the form of a combination of letters or syllables or other parts that are written and pronounced as normal words. Acronyms, also called abbreviations, are short for a term which can be a combination of prefixed terms. Thus, an acronym stands for a term or name that is pronounced as a single word. Indonesian acronyms have a very large number of words, in general currently Indonesian acronyms are still in printed book form. The problem that is often faced by acronym dictionary users in the form of printed books is the difficulty in obtaining search results for Indonesian acronym words quickly and precisely because it must be done by opening each sheet of the book to find the acronym word being searched for. To overcome the problems described above, in this study the authors designed an Android-based Indonesian acronym application. In order to make it easier to get search results on the designed Indonesian acronym application, the authors apply the Raita algorithm in the search feature. The Raita algorithm is part of the exact string matching algorithm, which is the matching of strings precisely to the arrangement of characters in the matched string which has the same number and sequence of characters in the string. Raita designed an algorithm by comparing the last character of the pattern starting from the rightmost character from the window.
Foreign Direct Investment and Economic Performance Nexus in ECOWAS: Does Human Capital Matters?

Human capital is an important channel through which foreign investment impact on economic performance and this has either been neglected or not given adequate attention by researchers.This paper therefore examined the nexus between foreign direct investment (FDI) and economic performance of Economic Community of West African States (ECOWAS) considering the imperative of human capital channel.A panel of 13 ECOWAS countries from 1980 to 2018 was utilised in a panel cointegration and autoregressive distributed lag estimation.The results indicated that FDI had a positive effect on economic performance of ECOWAS sub-region in the short run, and the effect became significant in the long run.Findings also revealed that human capital hindered the economic performance effect of FDI in ECOWAS, in the short rum and long run through life expectancy, but with a very weak positive impact through education in both time horizons.The paper recommended, amongst others, that ECOWAS as a body and her member nations should establish and entrench policies that would encourage FDI inflow and promote human capital in the sub-region
SISTEM INFORMASI PENJUALAN PADA KEDAI DEGAN BANG MOLOOR

Kedai Degan Bang Moloor is a shop that supplies consumption needs with or more commonly referred to as young coconut, this shop is also one of the largest suppliers of young coconut in the Purwodadi Grobogan area. The shop also provides various types of young coconut, ranging from young coconut as a natural treatment, young coconut for consumption and young coconut as a cultural tradition. Every day a lot of young coconuts are sold in this shop and the demand for young coconut every day is increasing continuously, especially when entering the holy month of Ramadan, the demand for coconut fruit consumption can increase to ten times from a normal day. In this shop, all information about transactions is done manually, starting from bookkeeping, recording accounts receivable and calculating the available stock of goods. So that we need a system that is able to process the data so that it becomes fast and efficient. For this reason, this research was conducted which aims to make it easier for the owner of the shop to get information about profits and losses, stock of goods and other financial data. This study uses the Waterfall method which consists of needs analysis, design, coding, testing and application. The development of this system uses several software, namely: PHP, Mysql, Visual Code Studio, CodeIgniter and Javascript
Performance of Parallel Distributed Bat Algorithm using MPI on a PC Cluster

Optimization algorithms are often used to obtain optimal solutions to complex nonlinear problems and appear in many areas such as control, communication, computation, and others. Bat algorithm is a heuristic optimization algorithm and efficient in obtaining approximate best solutions to non-linear problems. In many situations complex problems involve large amount of computations that may require simulations to run for days or weeks or even years for an algorithm to converge to a solution. In this research, a Parallel Distributed Bat Algorithm (PDBA) is formulated using Message Passing Interface (MPI) in C language code for a PC Cluster. The time complexity of PDBA is determined and presented. The performance in terms of speed-up, efficiency, elapsed time, and number of times fitness function is executed is also presented.
Factors Influencing the Utilization of “Uzhavan App” as Perceived by the Farmers in Tamil Nadu

Information Communication Technologies (ICT’s) is now performing as the third hand for shifting farmer’s life to next level by improving access to information and sharing of knowledge. Tamil Nadu Government has launched “Uzhavan” mobile application for the benefit of farmers. The focus of the present study is to find influencing factors on utilizing Uzhavan app as perceived by the farmers and to bring up the changes felt by the farmers after utilizing Uzhavan application. An ex-post facto research design was adopted for the study. Data collected from a sample of 90 Uzhavan app users in Thanjavur district of Tamil Nadu, India, during January 2020. Operability, Accuracy, Readability, Directness, Timeliness, Creditability and Reliability were the most influencing factors of the utilization of the Uzhavan app by the farmers. Farmers felt that Uzhavan app has relatively lowered the information searching time and it has created more awareness about Agricultural Government Schemes.
A Framework for Building an Educational Question Answering System

A question answering unit in any educational system can be very helpful and effective for enhancing the learning process. This paper introduces a design for the building blocks and workflow for an educational question answering system that can enhance the learning process. This system uses an Arabic ontology as a prototype to prove its efficiency. It depends mainly on natural language processing techniques that exist in the research area. A rule-based question classification method is created as well as a querying process depending on named entity recognition and pre-made templates.
Strategies for Preventing the Youth from Committing Crime in the Wa Municipality of the Upper West Region, Ghana.

Preventing the youth from committing crime is the uttermost priority of nations globally. Over the years, strategies have been put in place to prevent the youth from committing crime. These strategies include government, through the legislature, enacting laws to thwart citizens, particularly the youth from crime and yet these laws have proved futile, especially in Africa where majority of the youth still channel their energies into unproductive ventures. Ghana has devised strategies like free Compulsory Universal Basic Education to equip the youth with employable skills to avert youth crime, but still crime among the youth is on the ascendency. Nationwide strategies such as MASLOC was also implemented in the Wa Municipality to equip the youth with entrepreneurial skills and yet 90 percent of all crime perpetrators are the youth. This was a clarion call for which the study sought to investigate how the youth can stay away from committing crime in the municipality. Social control theory undergirded the study. Convergent parallel mixed method design was utilized where purposive and simple random sampling were also used. Interview guide and questionnaire were used for data collection. Data were analyzed concurrently. The study revealed among others that, good parental care, employment, education and training, community collaborations were the uppermost strategies that avert youth crime in the Wa Municipality. The study concluded that good parental care is the surest way of combatting youth crime. Parents and guardians providing for the youth until the time they would be capable of providing for themselves was highly recommended.
Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space.

Learning the representation of data with hierarchical structures in the hyperbolic space attracts increasing attention in recent years. Due to the constant negative curvature, the hyperbolic space resembles tree metrics and captures the tree-like properties of hierarchical graphs naturally, which enables the hyperbolic embeddings to improve over traditional Euclidean models. However, most graph data, even the data with hierarchical structures are not trees and they usually do not ubiquitously match the constant curvature property of the hyperbolic space. To address this limitation of hyperbolic embeddings, we explore the complex hyperbolic space, which has the variable negative curvature, for representation learning. Specifically, we propose to learn the graph embeddings in the unit ball model of the complex hyperbolic space. The unit ball model based embeddings have a more powerful representation capacity to capture a variety of hierarchical graph structures. Through experiments on synthetic and real-world data, we show that our approach improves over the hyperbolic embedding models significantly.
PENGEMBANGAN BOARD GAMES PUNAKAWAN UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA SEKOLAH MENENGAH KEJURUAN

This study aims to increase student learning motivation by using the Punakawan board games. The scope is based on the findings of preliminary studies related to student motivation to decline during the COVID-19 pandemic, students show a lazy attitude by not following lessons, rerely appear when Google Meet, always late because they are tight by signal, cannot understand and understand the material. Overall, the value decreases, the enthusiasm for learning drops dramatically, there is a sense of boredom because the learning delivered is monotonous, wasting games and resulting in decereased learning outcomes for some students. So, it is necessary to make innovative media board games to increase student motivation. The method used is Reseach and Development (Borg & Gall 1983). This research only reached the fifth stage of testing, namely expert testing. In this article, we come to br conclusion of the result from expert test and 1 user test for Guidance and Counseling teacher test, it shows a score of 81% which is in the percentage range or the categories suitable for use so that the development of the Punakawan board games is suitable to br used to increase student learning motivation.
Experimental Study on Cloud Security for Personal Health Records Over Patient Centric Data

Cloud computing offers many services among one is Storage as a service. Using this service user can outsource his data and whenever required he can download or he can share with others. Using cloud computing PHR owner can share his documents, but due to security challenges in cloud computing the health records of owner must be encrypted before outsourcing. In order to provide security for owner health records ABE (attribute-based encryption) is best suitable for other encryption techniques. Using ABE the PHR owner can define access control over his encrypted cloud data. But using ABE dynamic polices over encrypted cloud data is big challenge. In this paper for achieving grant and revoke privileges over encrypted data Timestamp server is introduced.
An Analysis of the Training Path of Double Qualified Teachers in Vocational Colleges

The cultivation objective of vocational education is training compound application talents with professional skills. This requires the teachers of vocational colleges should not only have systematic professional theoretical knowledge but also have strong practical abilities. They can teach in the classroom or practice in the factory. Theory and practice are mutually unified and meet the requirements of double qualified teachers. This paper first analyzes the different methods of double qualified teacher training in vocational education colleges at home and abroad, then analyzes the problems existing in double qualified teacher training in vocational schools, and finally focuses on the cultivation strategies of double qualified teachers.
Penerapan Steganografi Pada Image GIF Menggunakan Metode Ezstego dan Elgamal

Security and data confidentiality is one of the important aspects in terms of information exchange. One of the solutions to maintain the security and confidentiality of the steganography process is the message insertion technique for file encryption with electronic cryptography used for Gif image steganography. This study describes the development of steganography that applies the Ezstego algorithm which is used for Gif image steganography. The ezstego algorithm was chosen because it inserts message bits from pixel values. This research produces an application program that aims to prevent safety on Gif images. Gif image is a type of indexed image, the jif format is usually used to store computer graphic images, iconic images, cartoons, logos, animation and natural images. In making this application, the method used is the Eztego Algorithm, because it is very suitable for Gif image steganography which results in the completion of the electronic cryptography process on message insertion. This application is made with Visual Basic 2008 software and the creation of a Gif image steganography application with the process of inserting an encryption message and description is expected to solve this problem.
Model Of Training Bachelor Students In Music And Computer Technologies

The paper presents the solution to the problem of developing the content of a model for professional training of bachelor students in music and computer technologies, which is necessary for organization of the educational process to ensure achievement of learning outcomes in higher education.In accordance with the purpose set, the authors identify and characterize the specificity of the educational process based on implementation of the structural and functional model of formation of subject-oriented competencies in the field of music and computer technologies in bachelor students with the leading role of educational music and computer activities.The created model highlights and describes in detail the motivationaltarget, content-logical, activity and technological and diagnostic (assessment) blocks required for successful formation of the considered competencies.The content of competence-based, activity-based, personality-oriented and technological approaches and the principles of training in a higher educational institution that make the basis for the content and methods of model implementation are revealed.The content of subject-oriented competencies in the considered field of training is proposed, three stages of their formation in bachelor students in classes of music and computer disciplines are schematically presented.A complex of pedagogical technologies, the main forms of training organization and the means of subject-oriented competence formation in classes of subject-oriented disciplines are presented.In conclusion, the authors reveal the specificity of the educational process during implementation of the developed structural and functional model of professional training of bachelor students in the field of music and computer technologies.
Features of biology education research organization in schools

The paper discusses the features of school biology education research organization in the context of the implementation of the Federal State Educational Standard of General Secondary Education. It is shown that the specificity of Biology as a school subject provides enormous opportunities to research activities for schoolchildren. It contributes to the results that comply with the Federal State Educational Standard, improves critical thinking and learning ability developing. This study shows the most common areas of biological research presented at school scientific conferences and olympiads of various levels. New and rarely used topics are proposed for education research in Botany, Zoology, Human Anatomy and their subsections. When choosing topics for their studies, authors recommend taking into account the students interests, age, ability to complete the research within a relatively short time at school or in other education organizations, scientific relevance and usefulness for the participants and regional approach. It is stated that the organization of theoretical and experimental research should be based on the scientific logic, which will improve students research abilities. The paper reveals typical problems of teachers associated with the choice of research topics, problem statement and choice of methods for studying natural objects.
Sobre marcos conceptuales alternativos

espanolThis paper critically analyzes the question of how two conceptual frameworks could be established as each others alternatives. To settle this question is very important for some conceptualist hypothesis about scientific theories. Such hypothesis make sense only if there are different conceptual frameworks, or theories, or paradigms, which are alternative in a relevant epistemological way. One central conceptualist hypothesis asserts that our claims of how the physical word is are put forward from some conceptual framework or other which in any case is or is related to a given conceptual framework of a scientific theory. That kind of epistemological hypothesis has been criticized along with their strong ontological consequences. Here such criticisms are discussed, and the possible routes of responding that question are analyzed. EnglishEn este articulo analizamos criticamente la cuestion de como se puede establecer que dos marcos conceptuales son alternativos, la cual es de suma importancia para ciertas tesis conceptualistas sobre las teorias cientificas. Esas tesis cobran sentido solamente si existen diferentes marcos conceptuales, o teorias, o paradigmas que sean alternativos de un modo epistemologicamente relevante. Una tesis conceptualista central afirma que nuestras aserciones de como es el mundo se efectuan desde un marco conceptual u otro, relativamente en todo caso al marco conceptual de una teoria cientifica. Este tipo de tesis epistemologicas, asi como sus fuertes consecuencias ontologicas, han sido criticados. Aqui se discuten tales criticas y se analizan las posibles vias de respuestas a esa cuestion.
MFA is a Waste of Time! Understanding Negative Connotation Towards MFA Applications via User Generated Content

Traditional single-factor authentication possesses several critical security vulnerabilities due to single-point failure feature. Multi-factor authentication (MFA), intends to enhance security by providing additional verification steps. However, in practical deployment, users often experience dissatisfaction while using MFA, which leads to non-adoption. In order to understand the current design and usability issues with MFA, we analyze aggregated user generated comments (N = 12,500) about application-based MFA tools from major distributors, such as, Amazon, Google Play, Apple App Store, and others. While some users acknowledge the security benefits of MFA, majority of them still faced problems with initial configuration, system design understanding, limited device compatibility, and risk trade-offs leading to non-adoption of MFA. Based on these results, we provide actionable recommendations in technological design, initial training, and risk communication to improve the adoption and user experience of MFA.