Reviewerly/exHarmony huggingface dataset:
Investigating the Nexus between Stock Market and Institutional Quality in Emerging Markets and Developing Countries: A Panel Data Analysis

Purpose: This study empirically explores the impact of institutional quality on the stock market in Emerging Markets and Developing Countries (EM&amp;DC), study utilizes individual institutional quality indicators as well as aggregated in the form of an institutional quality index and checks their impact on the stock market.&#x0D; Methodology: The study employs a sample of 43 Emerging Markets and Developing Countries for the time duration from 1996 to 2022. By applying the Generalized method of moments (GMM) and Principal Component Analysis (PCA).&#x0D; Findings: The result shows that Institutional quality is not good in these countries and plays a detrimental role in association with the stock market. Mostly individual indicators of institutional quality have a negative and significant impact on the stock market except voice and accountability have a positive and significant impact on the stock market. We also construct an Institutional quality index by applying Principal component analysis (PCA), which also has a negative impact on the stock market.&#x0D; Implications: The findings underscore the importance of institutional factors in shaping the financial development of nations. Through our analysis, it becomes evident that emerging markets and developing countries (EM&amp;DCs) should prioritize enhancing their institutional frameworks, as these play a pivotal role in influencing financial development.
Effect of Job Satisfaction on Organizational Commitment: Evidence from Employees of a Special Mission Organization in Rwanda

This study assessed the effect of job satisfaction and demographic characteristics on the organizational commitment of employees (N = 119) in Rwanda. The study adopted a cross-sectional survey design for data collection. Descriptive, correlation, standard, and hierarchical regression analysis techniques were used to carry out the analysis. The effect of intrinsic job satisfaction was positive and significant on overall organizational commitment, continuance, and normative commitment, but negative and significant on affective commitment. The opposite was the case for extrinsic job satisfaction, although the effect on affective commitment was insignificant. The effect of satisfaction with the work environment was positive but only significant on affective commitment and significantly negative on continuance commitment. Job satisfaction dimensions had a significant unique effect on the overall and all the organizational commitment dimensions, even after controlling for the effect of the five demographic characteristics. From the results, it is recommended that for the organization to enhance employees’ commitment, management should adopt measures that enhance job satisfaction among them. This study adds to the much-needed empirical evidence from the developing world, but more importantly, from a special mission organizational context, consistent with the interconnectedness of organizations across the globalized world.
Exploring Indicators Impacting Gross Domestic Product: A Case of the Gulf Cooperation Council Members

This study investigates the factors that influenced the economic growth of the six Gulf Cooperation Council (GCC) members from 1990 to 2021. The study employed statistical methods such as ordinary least squares (OLS), fixed-effects model (FEM), and generalized method of moments (GMM) regressions to arrive at its findings. The World Bank and International Monetary Fund (IMF) databases provided the data for this paper. The six Gulf Cooperation Council members are the United Arab Emirates (UAE), the Kingdom of Saudi Arabia, the State of Qatar, the Sultanate of Oman, the State of Kuwait, and the Kingdom of Bahrain. In fact, the economies of Gulf Cooperation Council members (countries) are highly dependent on the oil sector. Therefore, one of the main positive indicators of gross domestic product in the Gulf Cooperation Council countries is oil prices. In addition, inflation plays a significant and positive role in supporting the gross domestic product in the Gulf Cooperation Council area. In contrast, unemployment rates and the COVID-19 pandemic impacted the gross domestic product in the Gulf Cooperation Council region significantly and negatively. The implications of this study help policymakers make the right decisions and implement policies to increase economic growth in Gulf Cooperation Council countries. Furthermore, this study supports economists and academics in conducting their research in the same field.
The Impact of the Characteristics of the Readers of Local Newspapers on Their Ability to Subscribe and the Intent to Continue Subscription

The purpose of this study is to conduct an empirical analysis of the impact of the characteristics of the readers of newspapers upon their intent to continue subscription by mediating the ability to subscribe. For this study, the data were gathered from the individuals with experience in reading newspapers in the area of Busan, Ulsan, and Gyeongnam, over the period from April 16 to May 5, 2020. The survey was conducted with the said group electronically using SurveyMonkey (ko.surveymonkey.com). A total of 604 questionnaires were recovered, and after excluding 59 incomplete or unreliable questionnaires, a total of 545 valid questionnaires were used for the final analysis. The gathered data were coded and processed using the IBM SPSS statistics version 25.0 for windows and AMOS 25.0. The result of the verification of the study hypotheses was as follows; First, the characteristics of the local newspaper readers, which were the endogenous variables, were grouped into the four factors of usefulness, trust, readability, and ease of searching. Second, through exploratory factor analysis and confirmatory factor analysis, the exogenous variables were grouped into the four factors of reading engagement, reading comprehension, information comprehension, viral intent, and intent to continue the subscription. Third, the analysis of the hypothesis that the characteristics of the readers would have an impact on their ability to subscribe showed that the factors of usefulness, trust, readability, and ease of searching all had an impact on reading engagement, while usefulness, readability, and ease of search had an impact on reading interest and information comprehension. However, the trust did not have a significant impact on reading interest and information comprehension. Fourth, the analysis of the hypothesis that the ability to subscribe would have an impact on continued subscription showed that reading engagement had an impact on viral intent and the intent to continue the subscription. While reading interest and information comprehension also influenced the intent to continue the subscription, the reading interest, and information comprehension did not have a significant impact on viral intent.
A Testbed for Evaluating AI Research Systems in Commercial Games

Many AI researchers want to test the utility of their prototypes in complex task environments, such as those defined by commercial gaming simulators. Also, many developers of commercial games need to solve tasks (e.g., game balancing, providing rational agent behaviors) that can be addressed by these systems. However, integrating them with gaming simulators requires substantial effort. We will demonstrate TIELT, a testbed designed to assist with evaluating research prototypes in these task environments.
Topological Synthesis of Tree Shaped Structures Based on a Building Blocks Hypothesis

In this paper a new approach to evolutionary controlled creation of electronic circuit connection topology is proposed. Microwave circuits consisting of a tree like connection of ideal transmission lines are considered. Assuming that a reasonable number of transmission lines in a tree network ranges from 10 to 100, the number of connection combinations is immense. From the engineering practice comes the hypothesis that any device can be decomposed into some functional building blocks consisting of one to dozen transmission lines. The variety of linking combinations in a tree with a limited depth is confined to hundreds or thousands of shapes. Therefore we can decrease the dimensionality of research space, applying evolution to building blocks only. Evolutionary algorithm (EA) which processes simultaneously the population of λ functional blocks and population of μ circuits is proposed. A μ, λ selection scheme with tournament together with specific encoding of solutions, and custom operators is implemented. The μ, λ, α EA was tested on an example of the design of a microwave transistor matching circuit.
Differentiated Development in the School in Particular Motivation

One of the main tasks of education is the appropriate motivation of students. The authors present their investigations in the field of learning motivation, which are the elements of significant research; they examine how differentiated education affects learning features. They apply pilot and control groups to follow the effect of differentiated development over the years. One can directly apply their research results into educational practice. This present study focuses on motivation, which is one of the constituents of this research sequence. For the development of these areas, the authors looked for tools that can be used when working with 10-14 year old students, which help to motivate them and raise their interest. The authors raise the issue how and in what manner digital tools are suitable for the motivation.
A Cryptographic Data Hiding Algorithm with High Cover Text Capacity

Cryptography and steganography are foremost techniques used to ensure security and confidentiality of secret information. In steganography, data hiding capacity with security is a great challenge for the researchers. In present scheme, a novel approach with combination of steganography and cryptography is proposed to achieve high data hiding capacity with greater security. To accomplish this goal, three level encryption is applied to hide secret message by using bit complement and bit right rotation. Different Unicode characters such as zero width non-joiner (ZWNJ), zero width joiner (ZWJ) and zero width character (ZWC), are used to conceal secret information into English cover text. To embed secret data into cover text, firstly, algorithm implements three level encryption on confidential data and then resulting binary is embedded into cover text by using Unicode characters. The results revealed that recently designed algorithm has higher data security due to light weight and efficient encryption mechanism along with 2-bit/char cover text capacity. Moreover, there is no overhead of secret key generation and exchange from source to destination. Projected technique is easy to implement, hard to break and reduces intruder's attention.
Delineation of alteration zones based on kriging, artificial neural networks, and concentration–volume fractal modelings in hypogene zone of Miduk porphyry copper deposit, SE Iran

This paper presents a quantitative modeling for delineating alteration zones in the hypogene zone of the Miduk porphyry copper deposit (SE Iran) based on the core drilling data. The main goal of this work was to apply the Ordinary Kriging (OK), Artificial Neural Networks (ANNs), and Concentration-Volume (C-V) fractal modelings on Cu grades to separate different alteration zones. Anisotropy was investigated and modeled based on calculating the experimental semi-variograms of Cu value, and then the main variography directions were identified and evaluated. The block model of Cu grade was generated using the kriging and ANN modelings followed by log-log plots of the C-V fractal modeling to determine the Cu threshold values used in delineating the alteration zones. Based on the correlation between the geological models and the results derived via C-V fractal modeling, Cu values less than 0.479% resulting from kriging modeling had more overlapped voxels with the phyllic alteration zone by an overall accuracy (OA) of 0.83. The spatial correlation between the potassic alteration zone in a 3D geological model and the high concentration zones in the C-V fractal model showed that Cu values between 0.479% and 1.023%, resulting from kriging modeling, had the best overall accuracy (0.78). Finally, based on the correlation between classes in the binary geological and fractal models of the hypogene zone, this research work showed that kriging modeling could delineate the phyllic (with lower grades) and potassic (with higher grades) alteration zones more effectively compared with ANNs.
Guides: Online Library Resources and Services: Overview

Guide to online Library services and research resources available to students during WCC campus closure
Stitching Together the Conversation—Considerations in the Design of Extended Social Talk

Spoken interaction mediates much humanGilmartin, Emer socialSpillane, Brendan and practical activity. Talk is not monolithic in form but rather weaves in and out of different genres. Practical tasks are peppered with lubricatingSaam, Christian socialVogel, Carl talk, whileCampbell, Nick casual conversation proceeds in phases of interactive chat and longer almost monologue chunks. There is increasing interest in building applications which enableWade, Vincent convincing human-machine spoken or text interactions, not only to facilitate immediate practical tasks but also to build a longer term relationships within which conversation can take place in order to entertain, provide companionship and care, and build a user model which will facilitate future tasks through an ‘always on’ conversational interface. Such applications will require modelling of the different subgenres of talk, and of how these can be convincingly joined to form a coherent ongoing conversation. In this paper we describe our work towards modelling such talk, focussing on theories of casual talk, insights gleaned from human-human corpora, and implications for dialog system design.
Distinguishing Error of Nonlinear Invariant Attacks

Todo et al. (2018) have proposed nonlinear invariant attacks which consider correlations between nonlinear input and output combiners for a key alternating block cipher. In its basic form, a nonlinear invariant attack is a distinguishing attack. In this paper we obtain precise expressions for the errors of nonlinear invariant attacks in distinguishing a key alternating cipher from either a uniform random function or a uniform random permutation.
Entanglement in block-scalable and block-scaled states

There is a special class of so-called block-scalable initial states of the sender whose transfer to the receiver through the spin chain results in multiplying their MQ-coherence matrices by scalar factors (block-scaled receiver’s states). We study the entanglement in block-scalable and block-scaled states and show that generically the entanglement in block-scaled states is less than the entanglement in the corresponding block-scalable states, although the balance between these entanglements depends on particular values of parameters characterizing these states. Using the perturbations of the sender’s block-scalable initial states, we show that generically the entanglement in the block-scalable states is bigger, while the entanglement in the block-scaled states is less than the entanglements in the appropriate states from their neighborhoods. A short chain of 6 and a long chain of 42 spin-1/2 particles are considered as examples.
REDESAIN WEBSITE UPT PERPUSTAKAAN UNIVERSITAS SEBELAS MARET SEBAGAI MEDIA PENDIDIKAN PENGGUNA BAGI PEMUSTAKA

&lt;p&gt;Library website is one of the information retrieval media for students who are in the academic environment. Library website thus should adapt to the needs of students especially in conducting research. This study aimed to analyze the effectiveness of the Sebelas Maret University Library website (UNS) as library education media after the redesign. Redesigning the website focuses on how to present the information sources in which the collections of UNS Library either in printed or electronic form exists. The results of the analysis after redesigning the website showed that the use of the website is as expected. This is showed through the statistics of the web pages most frequently accessed, the number of visitors, time spent from new visitors and returning visitors to visit the Library website UNS, user behavior -especially switching between web pages- and device platform used by a visitor to visit the Library website UNS. As a conclusion, after the redesign, UNS Library website is capable of facilitating student learning behavior that is independent, techie and mobile.&lt;/p&gt;&lt;p&gt;Keywords: library website design, user education, user behavior&lt;/p&gt;
Fuzzy based Schematic Component Selection Decision Search with OPAM-Ocaml Engine

Background: With an exponential increase in software online as well as offline, through each passing day, the task of digging out precise and relevant software components has become the need of the hour. There is no dearth of techniques used for the retrieval of software component from the available online and offline repositories in the conceptual as well as the empirical literature. However each of these techniques has its own set of limitations and suitability. Objective: The proposed technique gives concrete decision using schematic based search that gives better result and higher precision and recall values. Methods: In this paper, a component decision and retrieval engine called SR-SCRS (Schematic and Refinement based Software Component Retrieval System) has been presented using OPAM. OPAM is a github repository containing software components (packages), designed by OcamlPro. This search engine employs two retrieval techniques for a robust decision vis-o-vis Schematic-based search with fuzzy logic and Refinement-based search. The Schematic based search is based on matching the attribute values and the threshold of those values as given by the user. Thereafter the results are optimized to achieve the level of relevance using fuzzy logic. Refinement based search works on one particular attribute value. The experiments have been conducted and validated on OPAM dataset. Results: Precisely, the average precision of Schematic based search and Refinement based search is 60% and 27.86% which shows robust results. Conclusion: Hence, the performance and efficiency of the proposed work has been evaluated and compared with the other retrieval technique.
Measuring scientific buzz

Keywords are important for information retrieval. They are used to classify and sort papers. However, these terms can also be used to study trends within and across fields. We want to explore the lifecycle of new keywords. How often do new terms come into existence and how long till they fade out? In this paper, we present our preliminary analysis where we measure the burstiness of keywords within the field of AI. We examine 150k keywords in approximately 100k journal and conference papers. We find that nearly 80\% of the keywords die off before year one for both journals and conferences but that terms last longer in journals versus conferences. We also observe time periods of thematic bursts in AI -- one where the terms are more neuroscience inspired and one more oriented to computational optimization. This work shows promise of using author keywords to better understand dynamics of buzz within science.
Volume Data Denoising via Extended Weighted Least Squares

During the data acquisition procedure, volume data are usually contaminated by noises. This would create visual confusion and misunderstanding in analyzing the volume data. Thus, noise reduction is necessary for improving the quality of volume data inspection and analytic tasks. However, it is far from being fully resolved in removing noise while maximally retaining geometric sharp features. In this paper, we present a powerful volume denoising method based on the extended weighted least squares. We improve the weighted least squares method and extend it to 3D for volume data denoising. The primary advantage of the proposed method is that it can consistently produce better results in removing noise while preserving sharp features. We illustrate our technique on synthetic and real-world 3D data and compare our method with the median method, weighted least squares, L0 volume gradient minimization, and edge aware anisotropic diffusion method. The experimental results demonstrate that our method can achieve higher quality results than the selected state-of-the-art methods.
TREx Data Standards

TREx Data Standards The TREx Data Standards is intended to be used as a resource for persons involved in the transfer of student records and transcripts using the TREx student record exchange process.
Improving the experience of teaching and learning kindergarten-level English vocabulary using augmented reality

This paper explores the possibility of using the augmented reality (AR) technology to improve the learning experience of kindergarten students, the teaching experience of teachers and to address the parents' concern that a long-time usage of electronic devices may affect their child's health. We developed two AR mobile application prototypes to teach kindergarten students English vocabulary in an interactive and attractive way. The first application allows kindergarten students to learn in any place and at any time using a mobile device. To address the parents' concern on health, a monitoring system is implemented to allow parents to monitor their child's usage and stop the application remotely. The other application targets to use AR to ease teachers' class preparation and teaching, and to improve students' learning experience. Preliminary evaluation and teacher feedbacks gave insights how practitioners can use AR in early childhood education and brings benefits to students, teachers and parents.
Diagnóstico do nível de amplitude do alcance de práticas de gestão do conhecimento: um survey em escolas públicas

School management activities have been considered more than ordinary processes that occur within the administrative environment of a school. Management in the school context has a pedagogical component, and, in addition, it influences the quality of educational services and the level of students' student performance. Knowing that some of the specific problems of school management refer to limitations in knowledge management, this article aims to examine the reach range level of knowledge management (KM) practices of organizational processes in the public educational institutions participating in the Program of Excellence in Basic Education, considering their possible implications for the level of school management. This is a descriptive and exploratory research of a quantitative nature. As for the technical procedure, the survey methodology was used. As to the sample, fifty-two educational managers participated in the research. For the data reliability analysis, Cronbach's alpha statistic was used and the descriptive statistics were used for the quantitative analysis. It was obtained that the data collected through the diagnostic instrument were characterized with very good consistency, according to the value of the Cronbach's alpha. There was a predominant occurrence of low levels of perception regarding the range of reach for most KM practices. This result is a worrying factor for the studied school context, since the non-use of KM practices in their total potentialities can cause limitations in the activities of identification, creation and knowledge sharing in the school environment.