Reviewerly/exHarmony huggingface dataset:
ANALISIS KEBUTUHAN SISWA TERHADAP PENGGUNAAN BAHAN AJAR PADA MATERI HIDROLISIS GARAM (STUDI KASUS SISWA KELAS XI MIA SMAN 2 TANJUNGPINANG)

The purpose of this study was to analyze the students' needs for the use of teaching materials on salt hydrolysis for class XI MIA SMAN 2 Tanjungpinang. This type of research is descriptive with a qualitative approach. Data collection using interview sheets. The subjects of this study were one teacher and ten students of class XI MIA at SMAN 2 Tanjungpinang. The results showed that the use of teaching materials in schools was still limited. The teaching language used is difficult for students to understand because the material is monotonous and the language used is still standard. So that students need teaching materials in language that are easier to understand and include videos and animations so that students are more interested in finding learning information and easier to understand the material taught with these teaching materials.
Contact tracing apps in Europe: When one is better than many. Bertelsmman Stiftung Policy Position June 2020.

One of the issues brought forth by the COVID-19 crisis is the need to track the infection chains in order to stop the disease from spreading. One of the simplest ways this can be done is via a smartphone app. However, this can bring about several privacy issues. Furthermore, unless a common protocol is taken up all over Europe allowing apps from different member states to be able to seamlessly communicate with each other, the discrepancies would render the national apps ineffective. The member states need to de- cide on a single app protocol throughout Europe and the European Com- mission should strongly back its uptake.
LibGuides: Sawyer Library Services During Covid-19: Research Help

This guide contains the most current information on the Sawyer Library's services and building operations.
PENGEMBANGAN TES DIAGNOSTIK TWO- TIER MULTIPLE CHOICE BERBASIS KEMARITIMAN UNTUK MENGIDENTIFIKASI MISKONSEPSI SISWA PADA MATERI IKATAN KIMIA

This research discussed about two- tier multiple choice diagnostic test on maritime based chemical bonding material. The purpose of this research determined feasibility and effectiveness of maritime based in two- tier multiple choice diagnostic instruments test to identify students' misconceptions on chemical bonding material. This research type is Research and Development (R&D) research have been using the 4-D model i.e. define, design, develop, and disseminate. But author limit this research in develop stage. The instrument developed was validated by chemists, linguists and maritime chemists. The research subjects were 24 students of SMAN 2 Tanjungpinang in class X MIPA. Product trials were conducted using instruments test and the techniques for analyze data was qualitative and quantitative descriptive analysis techniques. The results showed that the content validity test with a CVI value of 0.94 out of 20 questions categorized as very appropriate, empirical validity of 17 valid items stated that all items were valid, the reliability of 17 items of 0.788 was categorized as reliable with the level of reliability is high, the level of difficulty is in the medium category, and there is no bad or very bad distinguishing power, as well as the effectiveness test with an average percentage of misconception results of 31.1% which are categorized as moderate. Based on the results of this study concluded that the two- tier multiple choice diagnostic instruments test based on maritime chemistry material is feasible and effective as an evaluation tool to identify misconceptions among students.
Manipulation Action Recognition and Reconstruction using a Deep Scene Graph Network

Convolutional neural networks have been successfully used in action recognition but are usually restricted to operate on Euclidean data, such as images. In recent years there has been an increase i ...
Integrated IP and Innovation Management 7.C5

Certificate Course Integrated IP and Innovation Management Part 7 | Chapter 5 Tools and application of IP Design
Philosophical Problems Of The Feedback Evolution In Self-Organizing Systems

Exploring models of perception, perceptual processes and sensory-motor control in various fields and disciplines (including cybernetics, information theory, artificial neural networks theory), some researchers began to apply Bayesian constructs to explain cognitive and psychophysical phenomena and processes. Cybernetic systems are complex dynamic systems of any nature with feedback, without which it is impossible to control such systems. Signals carrying information about how commands are executed are transmitted from the controlled system via the feedback channel. With all the paradigmatic difference between network and system approaches from the point of view of different authors, there is a possibility of their convergence in the making of an interdisciplinary paradigm of complexity. Then there is the problem of the form or manner of their connectedness. Cognitive development is of circular, nonlinear nature here. According to the fundamental principles of cognitive science, mental processes are procedures of information processing. Many mental processes happen unconsciously. Radical enactivism, which is considered to be a new direction in cognitive science, reckons the phenomenon of subjectivity as a problem of explaining the phenomenal aspects of consciousness. The concept of enactive cognition develops in line with constructivist orientations in epistemology, social philosophy, and management theory. Cognitive agent can in this concept be considered as active and interactive. The concepts of autopoiesis, structural determinism and conjugation of systems, operational closure of the system are introduced. Mind/brain descending computational activity, functionally appears as a forward one, while coming from the world activity acts here as a source of feedback.
PODIUM FEAR WITH ARTISTS

This article is devoted to the study of the experience of stress by people of art, especially in the situationof speaking to an audience. In this case, paraclinical disorder caused by stress is called fear of publicspeaking or stage fear, it is in many ways determinant for the further creative growth and even professionalcareer of people in the arts. So, stage fright is a panic anxiety that arises in both expected future and realsocial situations of public interaction. Numerous studies have identified the main symptoms of stage frightand possible signs of high levels of individual stress. The epidemiology and frequency of occurrence of stagefright were revealed approximately equally in 50% of professional musicians and 70% of music students,their anxiety is associated with the fear of failure, poor performance of a piece of music. At the same time,psychological, physical and cognitive reactions, classical symptoms of stage fright and other physicalreactions were identified. The article identifies two important groups of reasons for stage fear – personalfactors and external factors-requirements, which include both personal factors (personal and professionalbiography of a person), the environment and prospects of a non-artistic plan, character and personality,characteristics of orchestral musicians, and factors - requirements, the artist's attitude to the audience andappearance.The study focuses on psychophysiological explanatory models, the starting point of which is a hypotheticalrelationship between physical and psychological reactions and behavioral level of response. According tothese models, fear is associated with pronounced physical reactions. In the event of stress and tension,“mutual synchrony” arises, which is dangerous for the artist's health. When physical and psychologicalproblems arise, it is difficult for artists to find the right psychotherapist. Without prior experience in this field, the therapist is unlikely to be able to grasp the stress characteristics of the artistic profession and treat them effectively.Therefore, it is important to teach people of art the skills of public speaking, speaking to the public as partof psychological trainings during their studies at the university, as part of teaching them strategies for copingwith stress in general, both on stage and in everyday life.
El desempeño de la docencia y su desafío frente a la Educación Virtual en profesores de tres universidades de Chiriquí, Panamá:

Fecha de recepcion,  agosto 2020Fecha de aprobacion, septiembre 2020Paginas: 4Also, the resources used to achieve the competences of the classes given to the university student were specified.  The study had a quantitative approach with a descriptive scope and a non-experimental transversal design.  The simple random sample was constituted by 39 teachers who teach different classes in three universities of Chiriqui.The results demonstrated that, within the characteristics that the professors must have in their performance when giving their chairs, it was to have dominion of their chairs and to stay updated about the changes that appear in virtual education.  According to the results, the most widely used tools are virtual platforms such as the Classroom, followed by Meet.  On the other hand, it was also found that teacher used, to a large extent, video conferencing and WhatsApp.
PENERAPAN PEMODELAN STOKASTIK DENGAN METODE POLINOM NEWTON GREGORY MAJU DAN POLINOM NEWTON GREGORY MUNDUR DALAM MEMPREDIKSI JUMLAH PENDUDUK SUMATERA UTARA

The population growth rate of an area is influenced by several factors including fertility, mortality and migration. Meanwhile, population counts are usually carried out through a population census which is carried out every 10 years. As a metropolitan area, every year North Sumatra experiences a very rapid population growth rate. The population growth rate can be modelled with a stochastic model. In stochastic modelling refers to the percentage calculations for fertility, mortality and migration in predicting for the next census year period. Meanwhile, to calculate the population, you can use numerical methods, namely, forward newton Gregory polynomial and reverse newton Gregory polynomial. The method used in this study is a literature study where the data source used is secondary data and in this case, the researcher analyzes between three census periods, namely the period 1980 to 2010 and then predicts the period of the next census year. The purpose of this study was to determine the effectiveness of the three models in predicting the population of North Sumatra in the census period. For stochastic modelling, the prediction results obtained for the year 2010 are the percentage of total birth rate or fertility reaching ± 17.67%, the mortality reaches ± 39.61% and the migration reaches ± 42.72%. For 2020, the probability that the percentage of total birth or fertility is ± 16.83%, the mortality is ± 33.85% and the migration is ± 49.36% and for 2030 the probability of the percentage of total birth or fertility is ± 16.98%. the mortality reached ± 34.28% and the migration reached ± 48.74%. And for the forward newton Gregory polynomial method and the reverse Gregory newton polynomial, the total relative error is obtained respectively  while for the reverse newton Gregory polynomial method the total error value is . Referring to the error value, the advanced Newton Gregory polynomial method has better accuracy.
IMPACT OF UNETHICAL MANAGEMENT PRACTICES BY EMPLOYERS ON EMPLOYEE COMMITMENT DURING COVID 19 CRISES IN SAUDI ARABIA

The present research examined the relationship between unethical management practices adopted by firms during Covid 19 crises and its impact on employee commitment. Data was collected by convenience sampling from 200 workers working in private company in KSA. The responses were recorded with the help of a five point likert scale; the responses varied from strongly disagree to strongly agree. Strongly disagree being highest and strongly agree being lowest. Face and construct validity of the instrument was used. Reliability test was done through cronbach alpha. Data Analysis was conducted with SPSS 20.0 through spearman’s correlation coefficient. The results revealed that there exist a strong relationship between the management practices and employee commitment. The study recommended that management must adopt fair practices for their workers as it influenced the employee commitment at work.
Decision Support System for Determination of Land Suitability of Andaliman Plants Using the Profile Matching Method in Merdeka District, Karo Regency

Andaliman is a commodity plant which has many benefits and high selling power. Andaliman plants are difficult to cultivate because of the difficulty of determining the suitability of land suitable for these plants and the absence of researchers who have conducted research on these plants. Therefore, a decision support system is needed that can assist in determining the suitability of andaliman plantations by using three criteria consisting of each sub-criteria, namely Soil Classification (which consists of soil Ph sub-criteria, soil type and humidity), Land conditions. (which consists of sub-criteria for altitude and light intensity), and climate (which consists of sub-criteria for air temperature and rainfall). A decision support system is a system which able to provide both problem-solving abilities and communication skills for semi-structured problems. This research system aims to design a system in determining the suitability of land for andaliman plants using the Profile Matching method, which is one of the methods in the DSS that uses the GAP weighting method. The programming language used in making the system is PHP with MySQL database. The results of the implementation of the system that have been made show that Jaranguda Village is the most suitable village for planting Andaliman plants.
Foreign Aid and Sectoral Growth in Sub-Saharan Africa

The effectiveness of foreign aid in promoting growth has been a subject of intense debate among donors, policy makers and researchers. On the one hand, foreign aid can promote growth and investment by filling the savings gap and the foreign exchange gap. On the other hand, foreign aid may have an adverse effect on growth and investment due to disincentives and moral hazard issues associated with the strategic interactions among donors and recipients and its negative effect on the tradable sector and the competitiveness of the economy through the Dutch Disease. In this paper, we examine long-run effects of foreign aid on output and prices of tradable and non-tradable sectors in twenty-two sub-Saharan African (SSA) countries using cointegrated vector autoregressive (CVAR) analysis. The SSA countries have been major recipients of foreign aid. The CVAR methodology has a number of advantages over single equation estimation and panel data estimation method used in current studies. Unlike these methods, it allows for the dynamics of aid and its effect to differ across countries. For each country, we estimate 5X5 CVAR model using annual data. Our variables comprise of foreign aid, tradable output, non-tradable output, price of tradable goods, and price of non-tradable goods. We find that aid has a heterogeneous effect on sectoral output and prices. It has a significant negative effect on tradable output in fifteen countries, but has a significant positive effect on the tradable output in four countries. Similarly, aid has a significant positive effect on non-tradable output in five countries, but a significant negative effect in six countries. Only in four countries foreign aid has both a negative effect on tradable output and a positive effect on non-tradable output. We also find that aid has an inflationary effect in six countries, while it has a deflationary effect in five countries. We do not find evidence of Dutch disease. Aid does not lead to deterioration in the terms of trade for tradable goods.
GF-Attack: A Strategy to Improve the Performance of Adversarial Example

As CNN’s powerful visual processing function is widely recognized, its security has attracted people’s attention. A large number of experiments prove that CNN is extremely vulnerable to adversarial attack. Existing attack methods have better performance in white-box attack, but in actual situations, attackers can usually only perform black-box attack. The success rate of black-box attack methods is relatively low. At the same time, the most attack methods will attack all pixels of the image, which will cause too much interference in the adversarial example. To this end, we propose an enhanced attack strategy GF-Attack. We recommend distinguishing between the attack area and the non-attack area and combining the information of the flipped image during the attack. This strategy can improve the transferability of the generated adversarial examples and reduce the amount of interference. We conducted single model and ensemble models attack on eight models, including normal training and adversarial training. We compared the success rate and distance of the adversarial examples generated by the enhanced method using the GF-Attack strategy and the original method. Experiments show that the improved method by GF-Attack is superior to the original method in the black-box setting and white-box setting. Increased maximum success rate 9.13%, reduced pixel interference 404K.
METHODS FOR EXTRACTION OF ACOUSTIC CHARACTERISTICS IN THE SPEECH RECOGNITION PROBLEM BY RECURRENT NEURAL NETWORKS WITH LONG SHORT-TERM MEMORY

The paper presents some methods for extracting features from an audio signal, the problem of recognizing Russian speech using a recurrent neural network LSTM are solved, the results of recognition for different acoustic features are analyzed.
Trade Openness and Economic Growth in Sub-Saharan Africa : Evidence from New Trade Openness Indicator

The aim of this paper is to assess the effect of trade openness on economic growth in Sub-Saharan African countries. To this end, we use the new trade openness indicator of Squalli and Wilson (2011). Our estimates are carried out by the Generalized Moment Method (GMM) in system. The main results show that : (i) trade openness promotes economic growth in SSA countries; (ii) when accompanied by insufficient policies to promote infrastructure, financial development, human capital, investment in physical capital and price stability, trade openness does not further stimulate economic growth in SSA countries. Therefore, these complementary policies need to be sufficiently implemented in tandem with trade opening policies.
Applying ASP for Knowledge-Based Link Prediction with Explanation Generationin Feature-Rich Networks

Link prediction is challenging, especially based on (scarce) historic data or in cold start scenarios. In this paper, we show how to apply answer set programming (ASP) for formalizing link prediction in feature-rich networks, that is - in particular - using domain knowledge for network (and graph) analysis. We show, that applying ASP for link prediction provides a powerful declarative approach, as exemplified using simple predictors, and demonstrate according explanation generation using ASP. We present the application of the proposed methodological approach for explicative link prediction and analysis with explanation generation using different datasets.
A New Optical Flow Estimation Based on Dynamical System Approach with Intensity Variation Violating the Conservation Law

Optical flow is a vector that represents the motion of objects in images. The dynamical system approach to optical flow estimation [3] was proposed as one of the optical flow estimation methods. Most of the optical flow estimation methods are based on the intensity conservation law. Therefore, these estimation methods might not be able to estimate correctly if the intensity conservation law is violated by various factors. This paper proposes a new estimation model for images in which the image intensity is not maintained after moving objects in images. The proposed method can estimate not only the optical flow and its spatial gradients but also the intensity variation and its spatial gradients that do not follow the intensity conservation law. In addition, this paper focuses on the possibility of the optical flow estimation from the perspective of the observability. The effectiveness of the proposed model is demonstrated through numerical examples.
Empirical Analysis of Selected Supervised Machine Learning Algorithms on Twitter Data

This paper demonstrate an investigational research work carried out Twitter social network site in order to do comparison of selected supervised learning algorithms with existing standard methods. The experimental work is done on python platform. The comparison of algorithms is made with respect to precision, accuracy, recall and F1 scores.
A Suggestion for the Definition of the Anti-Corruption Audit

각급 공공기관 감사실의 업무는 과거 전통적인 감사업무 뿐만 아니라 부패방지업무를 포함하고 있으나, 부패방지업무와 감사업무와의 관계에 대한 이론적인 연구는 찾아보기 힘들다. 부패방지감사라는 용어가 만들어져서 일부 문헌에서 사용되고 있지만, 이에 대한 엄밀한 개념정립은 이루어지지 않고 있다. 이러한 한계로 인해 부패방지업무가 각급 공공기관 감사실의 업무로 분류되는 것이 타당한지, 감사업무를 총괄하는 감사원과 부패방지업무를 총괄하는 국민권익위원회가 어떻게 협업하고 역할을 분담해야 하는지에 대해 논의가 이루어지지 못하고 있는 실정이다. 부패방지감사는 무엇인가? 부패방지와 감사는 어떤 관계가 있는가? 본고는 이러한 질문에 답하기 위하여 기존 문헌을 분석하고 부패방지와 감사가 연결되어 성과를 낼 수 있는 사례로 전자인지세 공평 부담 방안을 선정하여 연구하였다. 또한, 중앙행정기관 감사담당관실의 업무를 분석하여 부패방지감사의 가능성을 살펴보았다. 본고는 부패방지감사를 부패방지를 목적으로 하는 감사활동, 또는 감사활동을 통한 부패방지 목적 달성으로 규정하였다. 즉, 감사의 목적 중 하나가 부패방지가 될 수 있기에 성과감사를 넘어서 부패방지감사가 가능하다는 점과 부패방지의 도구로 감사가 활용될 수 있음을 주장하였다. 이러한 주장을 뒷받침할 수 있는 사례로 공공기관의 전자인지세 공평부담방안을 제시하였다. 감사원의 감사로 시작된 전자인지세 공평부담 필요성은 국민권익위원회의 공공기관 사규에 대한 부패영향평가를 통해 현실화되었다. 중앙부처 감사담당관실의 업무분석을 통해 부패방지감사업무가 이행되고 있음도 언급하였다. 부패방지감사 개념을 통해 감사원과 국민권익위원회 간의 협업 가능성, 각급 공공기관 감사실 수준에서 부패방지업무와 감사업무 간의 융합 가능성을 제시했다는 점에서 본고의 의의가 있다.While audit divisions in public organizations deal with not only traditional audit tasks but also anti-corruption tasks, it is not easy to find some reliable studies that focus on the relationship between audit systems and anti-corruption systems. Some studies use the term, anti-corruption audit, but the definition of the term is not fully discussed. Due to this lack of discussion, some questions are raised. What is the anti-corruption audit? What is the relationship between anti-corruption policies and audit systems? To answer these research questions, this study reviews literature, examines cases, and analyzes the tasks of the audit division in a central public agency. This article construes anti-corruption audit as audit for anti-corruption: an official inspection of workers in public organizations for anti-corruption. This definition is different from the legal audit and the performance audit because the purpose of audit is unique. Using this definition, this study examines stamp tax cases between state-owned enterprises and their counterparts. The Board of Audit and Inspection of Korea investigated electronic stamp tax cases and recommended that the state-owned enterprises and their counterparts should equally share the burden of the electronic stamp tax. The Anti-Corruption and Civil Rights Commission of Korea checked the cases and recommended that the state-owned enterprises should enact new by-laws to declare the equal burden of the electronic stamp tax. This study also analyzes the tasks of the audit division in a central public agency and finds that anti-corruption audit is the inevitable part of the tasks of the audit division. This study concludes that the new definition of anti-corruption audit helps us understand a new rolf of audit and the possibility of the collaboration between the Board of Audit and Inspection of Korea and the Anti-Corruption and Civil Rights Commission of Korea.