Reviewerly/exHarmony huggingface dataset:
REGISTRATION AND MANAGEMENT INFORMATION SYSTEM DESIGN OF POST PARTNERS

Along with the development of information technology and increasing company activity, the need for information and data processing is needed in various fields and impactful for all services and especially for information providers for companies/agencies who need a management system quickly, precisely, and accurately. One is the process of registering a Post partner at the Post office of Cianjur Regency, especially in the current marketing section of the post partner registration level which is quite high. Post Partner Registration is still done manually and still uses the registration form in registering so those prospective partners who want to register are required to come to the Office for registration. The absence of the system for the registration of the postal Partner enrollment report is automatically used for auditing purposes containing the postal partner registrant report. The Waterfall method is used as the research method in this research. The initial stage begins with the analysis of using BPMN as a description of the ongoing process that is the business process procedure of Post Partner registration and the recapitulation of the Post partner registration report at the Post Office Cianjur Regency. For implementation modeling, this system using UML modeling consists of the modeling process, data, activity, and management.
The Reform and Influence of "Artificial Intelligence + Education" on Education and Teaching Design

At present, intelligence technology has attracted much attention and has been applied in many industries and fields. With the development of education and teaching reform, intelligence has gradually penetrated into the field of and the research on the relationship between intelligence and education and teaching is also increasing. From the perspective of artificial intelligence + education, this paper explores the influence of intelligence on the reform and innovation of education and teaching mode by analyzing relevant research and summarizes the positive influence of intelligence in teaching design.
Gap principle of divisibility sequences of polynomials

Let f∈Z[x] and ℓ∈N. Consider the set of all (a0,a1,…,aℓ)∈Nℓ+1 with ai<ai+1 and f(ai)|f(ai+1) for all 0≤i≤ℓ−1. We say that f satisfies the gap principle of order ℓ if lim⁡aℓ/a0=∞ as a0→∞. We also define the gap order of f(x) to be the smallest positive integer ℓ such that f(x) satisfies the gap principle of order ℓ. If such ℓ does not exist, we say that f(x) does not satisfy the gap principle. In this article, we prove a conjecture by Chan, Choi and Lam that f(x) does not satisfy the gap principle if and only if f(x) is in the form of f(x)=A(Bx+C)n for some A,B,C∈Z. Moreover, we completely determine the gap order of any polynomial. We will show that if f(x) is not in the form of A(Bx+C)n, then f(x) has gap order 2 if f(x) is a quadratic polynomial or a power of a quadratic polynomial; and has gap order 1 otherwise.
AN EXAMINATION BETWEEN TOTAL QUALITY MANAGEMENT AND HOTEL FINANCIAL PERFORMANCE: EVIDENCE FROM JORDANIAN INTERNATIONAL HOTELS

The objective of this study is to investigate the relationship between total quality management (TQM) elements and it`s multi-dimensions Top Management Commitment, Supplier Quality Management, Quality Planning, Quality Data, and Reporting and Customer focus on financial performance in five stars international Jordanian hotels. Therefore, 59 questionnaires were received from middle and top management deportments, the quality, operation and financial managers of five-star international hotels in Jordan; regression and correlation analysis was used to test the relationship study aim. For results of the study, have a positive and significant relationship between five dimensions of TQM Top Management Commitment, Supplier Quality Management, Quality Planning, Quality Data, and Reporting and Customer focus on financial performance as measured (Market share, Return on capital). Past research concerted on the manufacturing sector and not the hotel business in Jordan, so this study came to bridge the Literature Review gab and Meaningful implications are made that building a reputation and effective TQM implementations hotels are vital to face high competition, increase improve quality, and improve financial performance in five-star international hotels in the Jordan sector.
International Comparison and Thinking on the Talent Training Mode of land Resource Management

Based on the teaching of land resources management majors in colleges and universities, this article analyzes the status of land resource management talents training goals and training specifications, then conducts an international comparison through the talent training link and the talent training process, and finds the shortcomings of China’s land resource management talent training mode, and thus puts forward a new model for the cultivation of professionals in land resource management. It aims to promote the training mode of land resource management professionals with international standards at an early date, and cultivate high-quality application-oriented technical talents.
Context-Aware Text Normalisation for Historical Dialects

Context-aware historical text normalisation is a severely under-researched area. To fill the gap we propose a context-aware normalisation approach that relies on the state-of-the-art methods in neural machine translation and transfer learning. We propose a multidialect normaliser with a context-aware reranking of the candidates. The reranker relies on a word-level n-gram language model that is applied to the five best normalisation candidates. The results are evaluated on the historical multidialect datasets of German, Spanish, Portuguese and Slovene. We show that incorporating dialectal information into the training leads to an accuracy improvement on all the datasets. The context-aware reranking gives further improvement over the baseline. For three out of six datasets, we reach a significantly higher accuracy than reported in the previous studies. The other three results are comparable with the current state-of-the-art. The code for the reranker is published as open-source.
ВОПРОСЫ ДИДАКТИКИ ЦИФРОВОГО ОБУЧЕНИЯ

Abstract. The Article is devoted to the actual problems of transformation of the education system, consideration of the essence of of education. The analysis of existing variants of definitions of the concept digital didactics is carried out, the differences between electronic and education, pedagogical and technologies are justified. The article presents and describes the main components of didactics. The empirical data of the article are obtained from the practice of studying the competence of teachers in Yakutia.
METHODOLOGICAL ASPECTS OF TRAINING STUDENTS OF PEDAGOGICAL DIRECTIONS IN THE MAIN SECTIONS OF PROBABILITY THEORY

The article deals with the problem of formation of knowledge, skills and abilities of students-mathematicians, necessary for preparation for teaching probabilistic and statistical direction in the course of school mathematics. The study is conducted by reviewing and highlighting the characteristics of tasks included in the list of mandatory tasks at school. An example of the implementation of this task is the preparation of a mandatory list of various probabilistic problems necessary for the training of future mathematics teachers. Special attention is paid to the tasks included in the unified state exam. As a result, it was proposed to systematize the knowledge of the probability theory course according to a certain plan necessary for successful completion of pedagogical practice and teaching this course at school.
INCREASING INTEREST AND STUDENT LEARNING OUTCOMES BY USING COOPERATIVE LEARNING TYPE 'MAKE A MATCH’

The purpose of this research is improve the interest and learning outcomes of student grade XI Senior High School of Muhammadiyah Pringsewu on Verb and Noun material by using cooperative learning type “Make a Match”. Data collection component obtained from the pre-test, post-test I and II, questionnaires, observations and interviews. The results showed thatthe application of cooperative learning model of “Make a Match” can increase student interest and learning outcomes XI Senior high school class Muhammadiyah Pringsewu on Verb and Noun material .
Evaluating Hierarchical LDA Topic Models for Article Categorization

With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software products that recommend news articles. One su ...
Measurement of children's mood/mental ability and big data analysis for elucidation of non-cognitive ability

It is considered to be important that 'non-cognitive skills' - the social, emotional and behavioural skills that are influenced by environmental factors - are nurtured from an early age, such as in childhood education in the classroom setting. Teachers have a strong influence on the non-cognitive skills of their students and it is therefore important that they are mindful of this and work to enhance such skills. A team of researchers based at Tamagawa University in Japan is working to collect data on non-cognitive abilities in order to convert this into a science that can be built upon, assisting with the development of such skills.&lt;br/&gt; This research is headed up by Professor Takashi Omori of the Cognitive Architecture Research Lab, which is based in the University's Department of Information and Communication in the Faculty of Engineering. In the team's lab, modelling research related to the process of human cognition is underway. The team are modelling the behavioural search processes of what makes the human consideration looks like logical. They expect development of the thinking process will come out as the change of non-cognitive ability in daily activity of children. The researchers have been observing nursery and kindergarten children in their educational environments with a view to optimising these environments for non-cognitive development. The idea is that this can then be expanded to benefit students beyond this, and society in general. The team is using Big Data to elucidate the causal relationship of post-growth non-cognitive abilities with a view to improving children's educational environments to, in turn, nurture and improve non-cognitive skills.
Comments on the Paper: “COVID-19: Data-Driven Dynamics, Statistical and Distributed Delay Models, and Observations” (Liu, X., Zheng, X., and Balachandran, B., 2020, Nonlinear Dyn., 101, pp. 1527–1543)

No doubt, the COVID-19 pandemic has been and is one of the greatest challenges of the mankind in its recent history. Though not unexpectedly, it has come abruptly. The reaction of the educated community has been abrupt, accordingly. Independent from the professional background, it must be said that almost everybody has a share in the global fight against the global consequences. It is not surprising, for example, when mechanical engineers have their own immediate contribution to satisfy the sudden extreme need in hospital equipment, the fast design and manufacturing of ventilators, test tools, to mention a few only. However, it is a welcome surprise when mechanicians and mechanical engineers have relevant and important comments on the underlying problem, the global spread of the virus.Actually, this article of Professor Bala Balachandran of the University of Maryland, College Park, MD, and his group represents just one of these relevant comments to the global community. What is little known is that the reasoning for this originates in the knowledge of Bala (let me address him this way) in the dynamics of time-delayed systems, an area in which I have worked for a number of decades. Specifically, starting from the early to mid-1990s, he has been building up a tremendous expertise to tackle the dynamic problems of machine tool vibrations, deep drilling, and similar hard-core nonlinear dynamic problems where time delay has an essential influence on the system behavior. One of the key elements in the prediction and control model used by the authors for the pandemic is a so-called distributed time delay introduced and discussed in the third section of the article.It has been known since the work of Lotka and Volterra in the 1920s that time delay models accurately predict the dynamic changes in the sizes of coexisting populations. Still, the theory of delay differential equations has developed much slower and later than the theory of partial differential equations, and their engineering applications are still quite limited although control problems are always affected by its presence. Now, Bala has managed to transfer his unique mechanics knowledge and experience gained with time-delayed mechanical systems into controlling epidemics. It is my expectation that such studies can provide further impetus to wider use of delay differential models in mechanics and elsewhere. The findings reported in his work are quite striking and have global relevance to this disease dynamics. Needless to say, the results achieved with this model can help decision makers and public policy people. I would say that his article is definitely one among those used by the scientific advisory boards of governments in many leading industrialized countries.
Social Assistant Humanoid Robots for Dementia of the Elderly: A Scoping Review

In recent years, many cognitive care robots have been developed. There is also a form of the companion pet, and there are also robots that can be personified and talk with the elderly. Also, some telecommunications equipment can be replaced to help older people connect to the telecommunications community. However, the need for such robots is still unclear in the focus of this area of being able to interact, talk to, and connect with family and society. Although many studies in the existing literature that tell how to research to verify their efficacy, methods of defining effects can pave the way for future studies. This is what this article will show. The article included qualitative research searches and screenings, effect summaries, and research method analysis. The problem to be solved in this article is how to use and measure the effectiveness of conversational humanoids in nursing elderly patients with cognitive impairment. We also hope to provide some guidance for future research on cognitive impairment.
Application of Multi-Body Simulation Environment for Mechanism Education

Education in mechanism theory is essential for helping university students deeply understand machine. However, for students to imagine a mechanical movement through plane and stationary information is difficult. In addition, simulating and checking how mechanical movement changes along with changing the length of links and the number of pairs is also difficult. In this paper, MATLAB®/Simulink®/SimscapeTM MultibodyTM is applied for mechanism education and some mechanism practice. The introduced program’ s effect is verified with questionnaires and students’ GPAs. According to analysis of the questionnaires, the proposal method shows the possibility of improving students’ understanding and motivation. The practice introduced here is effective for students with rather high GPAs, seeming to improve their motivation for study. However, considering the specification like a university specializing in manufacturing, joining this educational program to 3D CAD education may also be useful for students with relatively low GPAs.
Psychological and Pedagogical Features of Visualization of Educational Information or "Lessons" of Cartography

The article is devoted to the cartographic teaching method, its psychological and pedagogical features associated with the visualization of spatially distributed information. The method regains its relevance in connection with the spread of "screen" information. The roots of modern infographics, representing any information in a graphical form, lie in the bosom of cartography - the science of displaying the spatial arrangement of things, phenomena using conventional symbols using graphic models - maps. The methodological lessons "lessons" of visualization of educational information are underlined.
USER PROFILE IN PERSONALIZING INFORMATION

In order to meet the users expectations, the information retrieval system classified the users following their profile then affect them to the appropriate chain access of information. Our approach is founded on the enrichment of users profiles that will be conducted from their social network which represent a rich source of information. However, one of our biggest challenge is when the user profile is newest or not very active, so the user profile may not contain all the interests and information that may be useful for a given mechanism. To bypass these challenges we developed a new mechanism that will allow us to detect similar users to this one and analyze their interest using a similarity techniques then algorithms that will improve its performance in a remarkable way by expanding users egocentric network which allow adding more nodes from different social networks to cover the entire users interest. Therefore, our proposal is to combine friends relationships of the user on different types of social network in a single egocentric social graph before the application of the algorithms to get a more complete user profile that will gather the majority of users interests.
Analysis of Minimizing Techniques for Touch Current in Mobile Devices

This paper proposes approaches to minimize the touch current of mobile devices. By modeling an equivalent circuit of a touch current, the cause of the touch current occurring in the mobile devices is analyzed. Through the analysis results, the circuit that minimizes the touch current is proposed. Furthermore, the validity of the proposed circuits is verified through simulation and experimental results.
Quantum walk under coherence non-generating channels*

We investigate the probability distribution of the quantum walk under coherence non-generating channels. We define a model called generalized classical walk with memory. Under certain conditions, generalized classical random walk with memory can degrade into classical random walk and classical random walk with memory. Based on its various spreading speed, the model may be a useful tool for building algorithms. Furthermore, the model may be useful for measuring the quantumness of quantum walk. The probability distributions of quantum walks are generalized classical random walks with memory under a class of coherence non-generating channels. Therefore, we can simulate classical random walk and classical random walk with memory by coherence non-generating channels. Also, we find that for another class of coherence non-generating channels, the probability distributions are influenced by the coherence in the initial state of the coin. Nevertheless, the influence degrades as the number of steps increases. Our results could be helpful to explore the relationship between coherence and quantum walk.
Hierarchical Temporal Representation in Linear Reservoir Computing.

Recently, studies on deep Reservoir Computing (RC) highlighted the role of layering in deep recurrent neural networks (RNNs). In this paper, the use of linear recurrent units allows us to bring more evidence on the intrinsic hierarchical temporal representation in deep RNNs through frequency analysis applied to the state signals. The potentiality of our approach is assessed on the class of Multiple Superimposed Oscillator tasks. Furthermore, our investigation provides useful insights to open a discussion on the main aspects that characterize the deep learning framework in the temporal domain.
TELELOGIN: UNA TÉCNICA DE AUTENTICACIÓN DE DOS VÍAS Y TRES FACTORES (TELELOGIN: A THREE-FACTOR TWO-PATH AUTHENTICATION TECHNIQUE)

Resumen En 2008, Fujii et al. propusieron un sistema de autenticacion utilizando un identificador de llamadas y dos metodos de autenticacion, conocidos como Telelogin. En 2013, Fujii y Tsuruoka propusieron un metodo de autenticacion de tres factores para solucionar los inconvenientes de seguridad en su trabajo anterior. Sin embargo, encontramos areas de oportunidad para mejorar la seguridad utilizando autenticacion basada en imagenes como contrasena biometria de huellas dactilares y posesion de un telefono inteligente que combinados con algoritmos criptograficos incrementan la seguridad en todo el proceso. El resultado es una version segura de los mecanismos de autenticacion multifactor mediante telefonia. Palabras Claves: autenticacion multifactor, contrasena unica, huella dactilar, utilizar un dispositivo personal. Abstract In 2008, Fujii et al. proposed an authentication system using a caller ID and two-authentication methods, known as Telelogin. In 2013, Fujii and Tsuruoka proposed a three-factor authentication method to remedy security drawbacks in their previous work. However, we found opportunities areas to enhance the security using image-based authentication as password, fingerprint biometric-based, and possession of a smartphone combining with cryptographic algorithms improve the security of the entire process. The result is a secure version of multifactor authentication mechanisms using telephony. Keywords : bring your own device, fingerprint, multi-factor authentication, one-time password.
Higher-Order Nonemptiness Step by Step.

We show a new simple algorithm that checks whether a given higher-order grammar generates a nonempty language of trees. The algorithm amounts to a procedure that transforms a grammar of order n to a grammar of order n-1, preserving nonemptiness, and increasing the size only exponentially. After repeating the procedure n times, we obtain a grammar of order 0, whose nonemptiness can be easily checked. Since the size grows exponentially at each the overall complexity is n-EXPTIME, which is known to be optimal. More precisely, the transformation (and hence the whole algorithm) is linear the size of the grammar, assuming that the arity of employed nonterminals is bounded by a constant. The same algorithm allows to check whether an infinite tree generated by a higher-order recursion scheme is accepted by an alternating safety (or reachability) automaton, because this question can be reduced to the nonemptiness problem by taking a product of the recursion scheme with the automaton. A proof of correctness of the algorithm is formalised the proof assistant Coq. Our transformation is motivated by a similar transformation of Asada and Kobayashi (2020) changing a word grammar of order n to a tree grammar of order n-1. The step-by-step approach can be opposed to previous algorithms solving the nonemptiness problem in one step, being compulsorily more complicated.