Reviewerly/exHarmony huggingface dataset:
The Design of the Puruk Cahu City Health Office Filing Information System

The advancement of computerized-based information technology which is able to play an important role as a tool in archiving documents such as incoming and outgoing mail, data processing, and can help solve small problems to very complex problems or even in decision support. At the Puruk Cahu City Health Office, the archiving of incoming and outgoing letters is still manual with notes in the agenda book which makes it difficult to search for letter files. This aims to create a system for collecting incoming and outgoing mail to make it easier for mail archiving and mail search. The research method used is the method of observation, interviews, and literature study. With the integrated design of the archiving information system at the Puruk Cahu City Health Service Office, it will be able to help the performance of the Puruk Cahu City Health Office employees.
Economic Policy Trends: Post-Secondary Financial Aid and the Pandemic

In mid-March of 2020, students’ lives were abruptly changed by the Coronavirus: classroom instruction moved online, in-person exams were cancelled, and many residences were closed. While getting through the next few months of school is the highest priority now, soon minds will turn to the next academic year. It is important that governments ensure those who want to invest in their education will still be able to do so.
Constructing Deterministic ω-Automata from Examples by an Extension of the RPNI Algorithm.

The RPNI algorithm (Oncina, Garcia 1992) constructs deterministic finite automata from finite sets of negative and positive example words. We propose and analyze an extension of this algorithm to deterministic ω-automata with different types of acceptance conditions. In order to obtain this generalization of RPNI, we develop algorithms for the standard acceptance conditions of ω-automata that check for a given set of example words and a deterministic transition system, whether these example words can be accepted in the transition system with a corresponding acceptance condition. Based on these algorithms, we can define the extension of RPNI to infinite words. We prove that it can learn all deterministic ω-automata with an informative right congruence in the limit with polynomial time and data. We also show that the algorithm, while it can learn some automata that do not have an informative right congruence, cannot learn deterministic ω-automata for all regular ω-languages in the limit. Finally, we also prove that active learning with membership and equivalence queries is not easier for automata with an informative right congruence than for general deterministic ω-automata.
The Fixed-point Tracking Model of Volunteer Service for College Students of Traditional Chinese Medicine Based on Information Technology

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
Flat Optics Optical Function and Fabrication Process Characterization using Quadri-Wave Lateral Shearing Interferometry based Wavefront Sensor

Wavefront sensor based on Quadriwave Lateral Shearing Interferometry is used to fully characterize flat optics and metasurfaces. It measures both the global optical function (phase shaping, MTF, PSF, …) but also the metastructure arrangement. © 2021 Valentin Genuer, Romain Laberdesque, Benoit Wattellier
Artificial Intelligence enabled Smart Learning.

Artificial Intelligence (AI) is a discipline of computer science that deals with machine intelligence. It is essential to bring AI into the context of learning because it helps in analysing the enormous amounts of data that is collected from individual students, teachers and academic staff. The major priorities of implementing AI in education are making innovative use of existing digital technologies for learning, and teaching practices that significantly improve traditional educational methods.
RETRACTED: On the Monophthong Features of Cangzhou Dialect (Hebei Province) based on Acoustic Data Analysis in the Big Data Era

Abstract With reference to the acoustic data of seven first-level vowels in Mandarin Chinese, this paper examines the vowel characteristics of the 16 dialects in Cangzhou, Hebei, and summarizes the local and overall characteristics of the Monophthongs in the Cangzhou dialect based on a large amount of acoustic data. Through comparative analysis of the distribution of Monophthongs of various dialects in Cangzhou and their differences and similarities with Mandarin, we hope to enrich the dialect phonetic database and provide a reference basis for data support for the promotion of Mandarin Chinese.
Chicago pol weighs 'robot tax' after Amazon's HQ2 controversy

A politician said the e-commerce giant will displace “millions of workers” in a plot that is not “science fiction.”
Bridging the Gap Between Structural and Behavioral Models in a Software-Centric Environment

Induced by the last evolutionary step of systems, the virtualization and decentralization of systems is thriving leading to more complex systems. This causes the system behavior described by models to be split into additional models, creating gaps. As a result, we present a novel approach that combines model artifacts describing the architecture of a system to recover the complete view of a system’s behavior. Our design relies on model transformation to create a consistent model basis to enable cross-model connections. The combining process is carried out in two phases. First, an expert defines cross-model connections mapping behavioral models onto structural models. Second, these connections are used to derive direct connections between behavioral models to bridge the gap that emerged.
STRUCTURAL AND FUNCTIONAL MODEL OF THE METHODOLOGY FOR PREPARING FUTURE CHEMISTRY TEACHERS FOR THE USE OF CLOUD TECHNOLOGIES IN PROFESSIONAL ACTIVITIES

The relevance of the study is due to the specifics of perception and assimilation of information by schoolchildren (the young generation's penchant for clip thinking) and the insufficient number of studies that reveal the theoretical and substantive-procedural features of the formation of preparedness of future chemistry teachers for the use of cloud technologies in professional activities. The purpose of the article is to develop a structural-functional model of the methodology for preparing future chemistry teachers for the use of cloud technologies in professional activities and its testing. The leading method for studying this problem is the modeling method, which allows to consider the problem under study as a focused, organized process of improving the professional competence of future chemistry teachers and the formation of ICT competency, reflecting the ability and willingness of a future chemistry teacher to use cloud technologies in professional activities. The developed model allows not only to form students' knowledge about the functions of cloud technologies but also aims to prepare future chemistry teachers for new conditions of professional activity. Analysis of the results of the study showed the effectiveness of the proposed model of the methodology for preparing future chemistry teachers for the use of cloud technologies in professional activities, which were confirmed by the positive dynamics of the levels of readiness formation among students of the experimental group. Article materials may be useful for teachers and students of higher educational institutions, teachers of institutions of general secondary education, specialists in the field of education.
Dynamic Programming for Predict plus Optimise

We study the predict+optimise problem, where machine learning and combinatorial optimisation must interact to achieve a common goal. These problems are important when optimisation needs to be performed on input parameters that are not fully observed but must instead be estimated using machine learning. We provide a novel learning technique for predict+optimise to directly reason about the underlying combinatorial optimisation problem, offering a meaningful integration of machine learning and optimisation. This is done by representing the combinatorial problem as a piecewise linear function parameterised by the coefficients of the learning model and then iteratively performing coordinate descent on the learning coefficients. Our approach is applicable to linear learning functions and any optimisation problem solvable by dynamic programming. We illustrate the effectiveness of our approach on benchmarks from the literature.
Language Function and Characteristics on Youth Motivation Discourse

The use of language reflects a person's personality.If the language is good, the language is good, the personality is also good.The discourse of youth motivation is a medium for teenagers to express their ideas and reflect their personality.The objectives of this study are twofold: (1) identifying the function of youth motivation discourse; and (2) identify the characteristics of youth motivation discourse language.This research is a type of qualitative research.The functions and characteristics of the discourse language of youth motivation are the primary data in this study.The object of this research is words, phrases, or sentences that show the functions and characteristics of youth motivation discourse.The source of data in this study is the result of writing in the form of discourse.motivation written by students of SMP Muhammadiyah 6 Surakarta.Data collection techniques were carried out by documentation and interviews with a number of informants.Source triangulation and researcher triangulation were selected to test the validity of the data.The analysis used the equivalent method, namely referential equivalent or content analysis as well as a small group discussion.The results of the study, namely first, found 4 language functions in the discourse of youth motivation, among others: (1) instrumental function, among others the function of commands to have a maximum achievement target; call function to be optimistic and confident; demand function to care about others; (2) personal functions that reflect enthusiasm, happiness, friendly attitude, and a sense of calm; (3) the function of representation, namely the representation of the good and the bad in every human behavior; and (4) regulatory functions that regulate worship, the importance of education, and obedience to parents.Second, there are ten characteristics found in the discourse of youth motivation: (1) the elimination of sounds in written language; (2) there is similarity in grammatical functions; (3) there is a form of repetition; (4) the existence of an acronym form; (5) the use of prepositions; (6) the use of particles --lah to reinforce the form of the command; (7) a form of presupposition that gives rise to connotative meanings; (8) symbols and punctuation marks that indicate emphasis; (9) the use of klitik -mu; and (10) there is an unsynchronized use of pronouns.
Visualizing the human capital management research domain: a bibliometric analysis approach / Wan Marhaini Wan Omar …[et al.]

The research on human capital management has extensively emerged in recent years. Organizations need to know how to manage human capital effectively to boost performance. Many literature reviews have been published on the specific aspects of human capital management. However, less attention has been given to bibliometric and network analysis aspects. Hence, the purpose of this study is to visualize the research domain of human capital management by conducting a bibliometric analysis. The analysis was performed using Scopus Analyzer available in the Scopus database and VOS viewer software. A total of 1098 publications concerning human capital management were extracted from the Scopus database ranging from 2008 to 2018. Co-citation and co-word analysis were conducted to graphically illustrate the publication trend and to identify areas of current research interests. The outcome of this study may assist researchers in understanding the nature of human capital management research domain from across the world and suggest future research directions.
Recreational park provision at Taman Rekreasi AwamSembilang, Seberang Jaya, Pulau Pinang / Muhammad Danial Afif Rosli

The provision of recreational park is one of the facilities that provided by the Local Authority (PBT) for the community used to do a recreational activities in their leisure times. The good provision of recreational park will influence the visitors come to the recreational park. However, most of the provision at recreational parks nowadays generally still no satisfy and does notmeet the guidelines standards. Thus, the study aim to determine the provision of Taman Rekreasi Awam Sembilang, Seberang Jaya, Pulau Pinang because there are some issues and problems in this area such as poor of soft-scape elements, lack of facilities and unused of resources for the recreational park. The objectives to achieve the goals are to identify the hierarchy of recreational park in Malaysia, to identify the condition of landscape elements and facilities equipment at the study area and propose the recommendations based on the analysis at study area. Besides, two types of data collection that be used in this study which is primary data and secondary data. Primary data that be used is observation on Google Street View andGoogle Earth while the secondary data are referring on journal, article, book and website research to gain more information about the study area. Then, ticking on the inventory form during observation as the technique to determine the availability, quantities and condition ofexisting soft-scape elements and facilities equipment that provides in the study area. Based on the analysis and findings, its show the study area are insufficient of soft-scape element and facilities requirement, poor of landscape design and beautification elements, bad condition and lack maintenance of soft-scape and facilities equipment. Therefore, to solve the issues and problem, some recommendations are be propose involves the provision of new soft-scape planting and facilities and also maintenance such of soft-scape and facilities in the study area. Lastly, the result of the study it is hope that the study can contribute to the improvement of recreational park provision at Taman Rekreasi Awam Sembilang that guarantee the satisfaction of visitors in line with the current needs of the visitors.
Research on the Application of Language Transfer Theory BasedonComputerAided TranslationSoftware inRussian Teaching

Abstract At present, the function of Computer-Aided Translation (CAT) is mainly aimed at the level of translation skills and translation effect, and its application in language teaching is still lack of in-depth discussion, especially the establishment of translation corpus and the research of computer translation laboratory in language theory and practice teaching. Based on this, this paper first analyses the development and utilization of language transfer theory, then studies the utilization of computer-aided translation software in Russian teaching, and finally gives the utilization strategy of language transfer theory based on computer-aided translation software in Russian teaching.
On-Line and Off-Line "Mixed" Teaching Mode of Real Variable Function Course

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
أثرُ السّياقِ في تحديدِ دلالةِ المشتقاتِ عند شُرَّاحِ ِكتابِ سيبويه

The addressee is based In determining the signification of morphological formulas to support of  language requirements or what is called verbal clues and non-verbal which helps to obtain the required signification and the intended destination, the word outside the context of the text has multiple significations and is ready for extension reading and semantic.      The morphological formulas are characterized that alternate between them and in which derivative controls are similar to probability and instability, and they are flexible, signification moving, that know no stability and represent only the truth except by placing it in a contextual system until the addressee feels that he has approached or touched the true meaning of it, so the formula cannot be considered meaningful semantically, determined with it validity certainty, However, its significance remains dependent on the limits of doubt and preponderance, It is subject to interpretation of multiple meanings unless it is placed in a specific structural structure governed with contextual and textual semantics  in  clarifying the semantic content of it.
Enabling Quantum Technologies with Photonics

Through the systematic exploitation of Quantum mechanical effects, we will experience technological revolutions in 21st century. With the foundation of Q.ANT, we have made it our mission to make a significant contribution to this revolution.
Libraries: Readings for English 1010: Critical Reading and Expository Writing: How-To (Tech Writing)

This guide lists the readings for English 1010 (ENGL 1010): Critical Reading and Expository Writing.
Artificial Orbitals and a Solution to Grover's Problem. (arXiv:quant-ph/0010065v7 UPDATED)

By allowing measurements of observables other than the state of the qubits in a quantum computer, one can find eigenvectors very quickly. If a unitary operation U is implemented as a time-independent Hamiltonian, for instance, one can collapse the state of the computer to a nearby eigenvector of U with a measurement of the energy. We examine some recent proposals for quantum computation using time-independent Hamiltonians and show how to convert them into ``artificial orbitals'' whose energy eigenstates match those of U. This system can be used to find eigenvectors and eigenvalues with a single measurement. We apply this technique to Grover's algorithm and the continuous variant proposed by Farhi and Gutmann.
Building Specialized Collections from Web Archiving

Short paper presented at Artificial Intelligence for Data Discovery and Reuse (AIDR). This short paper presents work on creating datasets of high-value publications and documents from web archives that can be used for machine learning research to help classify these large collections of data.
Transnational interaction of educational institutions and libraries of Central Asia in the field of training and retraining of library personnel

This article examines the state and prospects of library personnel training in Central Asia. The article focuses on the creation of a new, alternative approach to training librarians, taking into account modern requirements, which ensures the maximum approximation of the traditional system of training specialists to international educational standards. At the same time, special attention is paid to the process of internationalization of library and information education in the Central Asian region.
Constructing Adaptive Dynamic Adjustment Mechanism of "Skill College Entrance Examination" Mode in New College Entrance Examination System Reform in Big Data Age

China's Skilled College Entrance Examination has achieved periodic success, but there are still some unexpected problems that need to be gradually developed and improved. This paper mainly studies the self-adaptive dynamic adjustment mechanism of "Skilled College Entrance Examination" model for the new college entrance examination system reform in the era of big data. The research of this paper shows that, firstly, there is a high correlation between the skill college entrance examination using the computer adaptive test and the traditional paper-and-pencil test. The former has a high reliability and validity, and the whole experiment can ensure the reliability and scientific nature of the test, and it has practical feasibility. Then, considering from the aspect of humanization of the test, the high school academic proficiency test using the computer adaptive test has the characteristics of short time and high efficiency, and can realize the convenience of "test at any time", which provides convenience for students and reduces the pressure of school examination.
HRM Practices in the Context of Organizational Performance-A Literature Review

Human resource management (HRM) is one of the most crucial and important emerging parameters to enhance the organizational performance in any company or organization. Also, HRM plays a crucial part in the performance of an organization. The aim of this study and research is to identify the HRM practices that are affective to boost up organizational performance. To achieve this aim, the method of document analysis was used. On the basis of scientific literature reviewed from academic databases, the HRM practices which were mentioned in connection with organizational performance, were detected and described for its impact on organizational performance. To explore which practices of HRM are affective for improvement of organizational performance, the systematic literature review was conducted.  For the present study, the main sources of literature were online multidisciplinary academic databases and published research work. Researchers have reviewed the extensive and most acceptable studies literature that is purely focused on organizational performance and HRM. The outcomes of this research have given recommendations for policy makers, researchers, and top management of various organizations.
VUT Libraries: Faculty of Applied and Computer Sciences: Online Dictionaries, Encyclodedias & Thesaurus

This guide contains genral library information for the Faculty of Applied and Computer Sciences.
Effectiveclassificationframework For Breast Tumorsusing Optimized Multi-Kernel Svm With Controlled Skewness

The World Is So Advanced And Sophisticated Enough Nowadays. But, CancerStill Remains As A Deadly Disease In Many Parts Of The World For All LivingOrganisms. The Incidence Rate Of Cancer Among Humans Globally Is IncreasingSteadily Day By Day.Among All Forms Of Tumors, Breast Cancer Is A Type Of IllnessThat Plays A Major Role In Disturbingthesurvivalrate Of Humans Globally.Thus, ThereIs A Need To Predict Breast Cancer In Its Earlier Stage. Thus, The Work In This PaperisAided To Design A Robust Classification Model That Involves The Use Of A Randomized-Parameter Optimizedmulti-Kernel Support Vector Machine (RPOMK-SVM) Classifier.Before The Stage Of Classification, The Paper Analyzes The Nature Of Input In Order ToObtain Promising Results. The Skewness Of The Feature Attributes Is Controlled AndReformed Using Box-Cox Transform.For This Analysis And Evaluation, ThePaperemploysthe Breast Cancer Wisconsin (Diagnostic) Database,Which Is A StandardPublic Dataset. The Final Results Are Then Compared Against The Existing Algorithms.
Construction of Cloud Finance Diversity Training Base——Taking Wuhan Donghu University As An Example

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.