Reviewerly/exHarmony huggingface dataset:
Sistem Pendukung Keputusan Pemilihan Indekost Pemuda Dengan Menggunakan Metode Simple Additive Weighting (Saw)

Housing development for youth is currently the main priority because boarding houses are considered ideal and practical places to choose a place to live. The number of enthusiasts who choose boarding houses for housing is due to many considerations, including cost, facilities, and strategic location. Due to these considerations, many young boarding houses choose suitable temporary housing. A Decision Support System (DSS) is a technique that can solve a problem in semi-systematic and non-systematic terms. This decision support system will later be made using the Simple Additive Weighting (SAW) method with the hope of solving the problems experienced by students. The author's research steps are determining criteria and alternatives, collecting data from questionnaires distributed to students, carrying out calculations, and ranking alternatives. From the calculation results, it is obtained that Kost2 is the best alternative.
A Novel Approach to Sorting Algorithm

For a long time, sorting has been one of the most important tasks in the field of computation. Along the way, many researchers, mathematicians, and computer scientists have tried to come up with new and efficient sorting algorithms for improving the space and time complexity of primitive ones. This paper presents a sorting algorithm that performs better than existing algorithms in its best-case scenario. The time complexity of the proposed algorithm in terms of asymptotic notation is O (max (k, n)), where k denotes the highest element in the list to be sorted and n denotes the number of input elements to be sorted.
Expertise-Oriented Explainable Question Routing

Question routing aims at routing questions to the most suitable expert with relevant expertise for answering, which is a fundamental issue in Community Question Answering (CQA) websites. Most existing question routing methods usually learn representation of the expert’s interest based on his/her historical answered questions, which will be used to match the target question. However, they always ignore the modeling of expert’s ability to answer questions, and in fact, precisely modeling both expert answering interest and expertise is crucial to the question routing. In this paper, we design a novel Expertise-oriented Modeling explainable Question Routing (EMQR) model based on a multi-task learning framework. In our approach, we propose to learn expert representation by fully capturing the expert’s ability and interest from his/her historical answered questions and the corresponding received vote scores respectively. Furthermore, based on the representations of expert and target question, a multi-task learning model is adopted to predict the most suitable expert and his/her potential vote score, which could provide the intuitive explanation that why routes the question to the expert. Experimental results on six real-world CQA datasets demonstrate the superiority of EMQR, which significantly outperforms existing state-of-the-art methods.
Making the Cybersecurity Skills Case for Educational Technology Implementations

Large-scale technology implementations require that both technology vendors and educational institutions have highly skilled technical staff. Cybersecurity education and technology product and service proponents make the relevant skills case to leaders based on their experiences. The human capital crisis in cybersecurity and the recent increase in the security threats resulting from vulnerable software have made the situation worse. A recent example is the global attack on government and private sectors through the IT management software SolarWinds. Skills for secure-coding and implementing Zero-Trust architectures and strategies are essential to protect student and faculty data, learning content, assessment data, research and other IP-related resources in order to provide uninterrupted technology access for learner success. This chapter aims to help educational technology leaders recognize if implementation partners have the requisite cybersecurity education and training before committing to a contract and project plan. It also provides valuable advice for leaders in this sector.
National Collaboration for Large-Scale Change

With few exceptions, most U.S. colleges and universities have operated enterprise systems individually without strong collaboration with other institutions. Educational technology leaders could benefit from a collaborative approach to large-scale technology implementations. Since collaborations take many forms, this chapter helps leaders understand some of the typical U.S. technology collaboration options. It tells the story of the HESS Consortium Collective Program, a new model for small and mid-sized colleges and universities to evaluate, buy, collaborate, support, and innovate in the area of enterprise resource systems for financial, course management, student records, and the like on a national basis. This new model has the potential to be a national magnet for all private, non-profit colleges and universities to advance student success and lasting educational technology change.
An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap

According to the characteristics of non-linearity, high noise and strong coupling of time series in industrial process, an interval prediction method based on improved double reserve echo state network (DRESN) and bootstrap is proposed. Firstly, as traditional echo state network (ESN) cannot meet the requirement of the prediction accuracy, a new reservoir is added to construct DRESN, which the input variables can map to the different feature space and make the prediction performance parameters obtain the abundant decision information, so as to reduce the influence of other effects on models. Secondly, in order to find more suitable parameters of the reservoir, an improved particle swarm optimization (IPSO) is proposed to optimize the parameters in the double-reservoir. Thirdly, the prediction interval is constructed by introducing bootstrap and evaluated by comprehensive evaluation function. Based on the above, an interval prediction model DRESN-IPSO-Bootstrap is formed. Finally, the proposed interval prediction model is simulated by the standard function data set and purified terephthalic acid (PTA) solvent system. The results of simulation experiments show that the proposed method can obtain better interval estimation quality and prediction accuracy, which will provide guidance for the prediction and trend analysis of the key variables in the actual production process.
INCREASING THE STUDENTS’ SPEAKING ACHIEVEMENT BY APPLYING PICTURE STORY GAME OF GRADE X

This research aimed to elaborate the increasing students’ speaking achievement using picture story game. The research design applied was classroom action research. There were two cycles conducted to accomplish this research. Each cycle was conducted through four phases. The subject was all students of grade X with total number of 30 students. The instruments used for collecting data were speaking test, observation sheet, diary notes, and interview sheets. The techniques for collecting data were orientation test and treatment by teaching the students using picture story game. Data analysis showed that in quantitative data, the mean score obtained in orientation test was 42.6 and none of the students achieved equal or higher than 75 as the passing grade score. In 1st meeting of Cycle I the mean score was 45.6 or 0% of the total students got &gt;75. In 2nd meeting of Cycle I the mean score improved to 54.4 with 2 students (6.66%) obtained score &gt;75. In the 1st meeting Cycle II the mean score kept improving to 72.0 with 14 students (46.66%) got &gt;75. In 2nd meeting of Cycle II the mean score improved significantly to 87.0 with 28 students (93.33%) got &gt;75. The improvement could be seen through the activity in each cycle. Thus, it is concluded that the picture story game increased the students’ achievement in speaking of grade X students.
Examining the Effectiveness of Collaborative Search Engines

Although searching is often seen as a solitary activity, searching in collaboration with others is deemed useful or necessary in many complex situations such as: travel planning; online shopping; looking for health related information; planning birthday parties; working on a group project; or finding a house to buy. Researchers have found that complex search tasks can be executed more effectively and efficiently, achieve higher material coverage, and enable higher knowledge gains in an explicit collaborative setting than if conducted in isolation. However, even though researchers have carefully designed several Collaborative Search user studies, there is still conflicting evidence or a lack of evidence on the effectiveness of collaborative search systems. Thus, in this thesis, we focus on examining the effectiveness of collaborative search systems in two parts. In the first part, we shed light on the effectiveness of collaborative search systems to support two group configurations, namely group sizes and users' roles. In the second part of this thesis, we make our group configurations constant, particularly, group sizes are set to up to three people, and group members receive the same role. We then turn to a different perspective and focus on examining the effectiveness in two contexts: Search as Learning and collaborative online shopping. Awarded by: Delft University of Technology, Delft, The Netherlands on 24 February 2022. Supervised by: Claudia Hauff. Available at: https://doi.org/10.4233/uuid:9f8f9ffc-c3d9-4583-8903-25889233a95b.
Application Interactive Thematic Learning Media i-Spring to Improve Student Learning Outcomes

The purpose of this study was to determine the level of feasibility of using interactive thematic learning media for the application of i-spring to elementary school students. Development research methods (Development &amp; Research). Development research is a model in research that is used to produce certain products and to test the feasibility of media and the effectiveness of a product. The subjects in this study were students of class III A at Tembung 101767 Elementary School. The location of this research was carried out at elementary school IT Nurul 'Ilmi in the odd semester of the 2022/2023 academic year. This development research focused on thematic learning, namely theme 3 "Things Around Me", sub-theme 2 "Objects Being" and Learning 5 and 6 in class III elementary school. The final product will be evaluated based on the specified product quality aspects. The results of the study show that the Thematic Interactive Learning media in the thematic learning developed has been validated and meets the criteria for good and appropriate learning media to be used in thematic learning on the theme 6 sub-themes 3 in class III elementary school with an average media percentage of 88% and material of 90% with a very feasible category as a learning medium.
Perception on Usage of Emerging Library Services-An Empirical Investigation through Factor Analysis

To manage their functionality, libraries are increasingly integrated with standard library management systems. The rise of resource sharing and the real-world Web has been aided by library-enabling technologies. The real-world web has transformed information exchange via networks, allowing for the sharing and delivery of user-specified files among groups of people who are logged on to a file-sharing network. The internet and the World Wide Web have become the most essential platforms for accessing and locating information in today's information culture. Emerging technologies are rapidly changing, innovative technologies that have a significant impact on modern libraries. Emerging technology can assist libraries in achieving their goals. Emerging technologies can assist libraries in forecasting the newest growing trends in library and information services theory and practice, and it is widely acknowledged that these trends have had a significant impact on how people study and teach in academic library environments. In this context, the researcher has attempted to determine the availability and successful use of various state-of-the-art technologies in libraries, as well as how library resources facilities/services to students and faculty members of management school libraries are impacted. The study was carried out with a sample of 300 users of library in b-schools and it was found that the main factors that evoke usage of emerging library services are Guidance, Time, Study material, Self-interest, Novelty.
A novel multi-frequency phase fusion strategy for phase unwrapping algorithm with improved noise immunity

The multi-frequency heterodyne is a temporal phase unwrapping algorithm that is commonly used in phase-shifting methods. The main principle is that two phase maps with similar periods are differenced to obtain a reference map with a longer period and no ambiguity. However, this method poses a noise problem: the heterodyne procedure leads to the accumulation and amplification of errors in the absolute phase maps, which may result in fringe order jumps. In this paper, a novel multi-phase fusion strategy is proposed, which incorporates correlation constraints in the phase decoding process to reduce the effect of noise. First, a priori constraint on the background illumination and modulation intensity of the multi-frequency fringe pattern is proposed, and a phase optimization function is established by correlating the phase signal models of different frequencies. Since the optimal value of the optimization function is localized, the optimization process is divided into two parts: phase order correction and local phase optimization; then, anomalous phases are identified and denoised according to phase anomalies and the priori condition failures. Finally, the effectiveness of the proposed strategy is verified quantitatively on a standard plane: the SNR of the optimized 4-step phase-shift method is close to that of the 16-step phase-shift method. Furthermore, the strategy also demonstrated a significant reduction in the phase jump problem and an improvement in the SNR of the phase map in 3D PCB measurement experiments.
Museumification of family libraries (on the example of Gomel architects Ivan and Valentina Burlak’ library

Library is a cultural institute accumulating in itself various functions, including museum and archival ones. The author views personal, private, home or family library entering a museum collection as an indispensable component so museumification becomes the mode of its processing. In 2019 Gomel Regional Library became the owner of the unique archive of Gomel architects Ivan and Valentina Burlak, which consisted of 276 objects including 64 documents of their family library. This archive was sectioned into three collections: that of Ivan Burlak, of Valentina Burlak and general collection. This home library was inventoried as a complex of printed editions. The author worked out a concept according to which information and bibliographic, specific and structural polygraphic peculiarities of documents revealed themselves as much as possible. Structural elements of documents descriptions became: format, character of design and polygraphic implementation, degree of its safety, presence of provenances and inscriptions, belonging, source and way of acquisition, pressmarks. When creating pressmarks, the author of this article was guided by museum practice of objects systematization. Terminological system of document management and attribution completely describes library collections received as a gift and being an integral part of museum collections. Museumification makes it possible to identify more accurately any document belonging to library and museum collections. An organic combination and application of practical methods of document management and attribution expands public library’ possibilities, contributes to its development as a scientific institution.
Assessing Global Covid-19 Cases Data through Compositional Data Analysis (CoDa)

Background: Covid-19 cases data pose an enormous challenge to any analysis. The evaluation of such a global pandemic requires matching reports that follow different procedures and even overcoming some countries' censorship that restricts publications.
Evolutionary Algorithm Simulation of Japanese to Chinese Buzzwords Based on Quantum Social Network Modeling

Based on the quantum social network theory, this paper conducts an evolutionary algorithm research on the law of Japanese catchphrase introduced into China and its changes in China. The network generated by this modeling method is comprehensively analyzed from the aspects of network degree, degree distribution, average shortest path, node aggregation coefficient, etc., which verifies the effectiveness of the modeling method. Starting from the language itself, from both internal and external perspectives, this paper explores the reasons for the popularity of Riyuan's animation language in China. One is to study from the internal causes of language; the other is to study from the outside of society.
Development and Validation of Core Competency Diagnostic Assessment: Focused on K University

Development and Validation of Core Competency Diagnostic Assessment: Focused on K University - Core competency;competency diagnostic assessment;college student competency;validation;quality management of education
Cloud-Edge Joint Inference Algorithm for Target Recognition in Cloud-Edge Collaborative Intelligence

Cloud-edge co-computing has been widely used for real-time processing of image detection scenarios in IoT.The functional limitations of edge devices and how to effectively determine whether an edge device initiates cloud mode is a new challenge.By proposing a joint inference algorithm.The goal of this algorithm is to automatically determine the trigger conditions for activating cloud mode and improve the effectiveness of cloud-edge collaborative reasoning.The algorithm considers the resource utilization of the edge device, the image recognition accuracy of the edge device, and the network conditions between the edge device and the cloud platform to decide whether to trigger the cloud-edge collaborative inference.Experiments are also conducted on a pathology image recognition project, and the results show that the edge devices show significant improvements in end-to-end reliability and workload reduction.
An Expert System for Tourist Destinations

Internationally, the importance of studying tourism statistics for the diagnosis of tourist trends and the assessment of actions undertaken by tourism operators has been recognized. The analysis of the decisions and choices of tourists is of particular and increased importance. Characteristics, determinants and anticipation of tourism demand attract the interest of academic and scientific circles as well as tourism professionals and those who are responsible for tourism policy. In the present study, it is proposed a system, within the domain ESTD.GR, as an Expert System for Tourist Destinations collaborating with user-tourist-type. It also deals with the key aspects of the consumer behavior of tourists, such as their motivations, choices and decisions. The choice of appropriate variables is based on a number of factors such as the tourist type, countries of origin, time period considered due to economic crisis, costs, user ratings and the forms and type of tourism we are concerned with (e.g. business tourism, visiting relatives and friends, seeking sun or wandering, etc.). In addition, it is proposed to establish an online platform that will introduce the statistics of each company so that with the support of an automated intelligent system, possible findings can be extracted and the results from these data visualized for the optimization of tourist statistics by tourist companies.
Reconstructing a Program with Pointers

In this chapter, we use our assembly language knowledge to reconstruct C and C++ code that uses pointers. We also compare the disassembly of the optimized code.
Joint Language Production and The Representation of Other Speakers' Utterances

Joint language production is the study of the mechanisms involved in producing language jointly with another real or assumed speaker. We review work in this area from the last decade. We specifically highlight how comparisons between the production of language in joint versus individual tasks have begun to uncover when and how speakers engage in co-representation of others’ utterances. We conclude that this growing body of experimental work shows that the process of producing language is susceptible to influence from representations of others’ utterances (whether real or assumed). There is also good evidence that co-representation makes use of language production mechanisms, but typically stops short of engaging in detailed simulation of what another person is saying. We also identify key open questions and suggest that future work should systematically investigate which factors influence the flexible use of simulation-based mechanisms (e.g., nature of the communicative context, partner's identity, cognitive load) to further our understanding of how speaking jointly differs from speaking in isolation.
Impact of Customer Relationship Management, Technological Turbulence, and Customer-Centric Management on Financial Performance

CRM improves competitiveness. To adopt CRM, you must know client wants and trends. Technological Turbulence plays a vital role in the adoption of CRM. The research examines how internal/external information integration and supply chain performance affect corporate finances. Primary data was collected from the service sectors in Lahore. Questionnaires were spread around 150 and collected 121 valid responses. The demographic analysis was performed on SPSS. Regression and correlation analysis were performed on Smart-PLS (3.0). From B2C perspective, CRM adoption has a significant positive impact on organizations performance in the service industry. CRM adaptation is primarily focused and should be discussed within the organisation for a more effective approach. Thus, technological turbulence and internal/external information integration have a bad impact on the financial performance of a company. The results show that IEII doesn’t have an influence on financial performance. This study is valuable for the industry, such as banks or other business-to-customer (B2C) firms.
Pemanfaatan Transformasi Perpustakaan Berbasis Inklusi Sosial dalam Mendukung Pertumbuhan Ekonomi yang Inklusif dan Berkelanjutan Sesuai dengan Tujuan Program SDGs Indonesia 2030

The National Library of Indonesia in its program is Social Inclusion-Based Library Transformation where libraries must be able to improve people's welfare. Library transformation based on social inclusion of libraries has a role to support the UNESCO Sustainable Development Goals Indonesia 2030 program. There are at least 3 objectives of the SDGs program that can be supported by activities carried out by libraries. The aim of the research is to find out the social inclusion-based library transformation, and to find out its role with the SDGs program, especially in the aim of supporting inclusive and sustainable economic growth. The chosen method is phenomenology with a descriptive qualitative approach. The results of this study, the library has utilized the Social Inclusion-Based Library Transformation Program in supporting inclusive and sustainable economic, social and cultural growth in accordance with the 2030 Indonesian SDGs Program Objectives.