Reviewerly/exHarmony huggingface dataset:
Revisiting the Decadal Variability of Solar Photovoltaic Resource Potential in the Monsoon Climate Zone of East Asia Using Innovative Trend Analysis

In this study, we applied an innovative trend analysis (ITA) technique to detect the annual and seasonal trends of solar photovoltaic resource potential (Rs) in East Asia during 1961–2010 based on the Global Energy Balance Archive (GEBA) data. The Mann-Kendall (M-K) trend test and linear regression method (LRM) were compared with the ITA technique. The results showed that the annual Rs in China presented a significant decreasing trend (D<–0.5 and P<0.01, where P is the P-value and D is the trend indicator of ITA) using these three techniques. The seasonal Rs generally showed a significant decreasing trend (D<–0.5) using the ITA technique in China, however, a slightly increasing trend was observed in Japan. The Rs values were further divided into four groups (“low”, “moderate”, “high” and “very high”) to detect the sub-trends using the ITA technique. The results indicated that the decreasing annual Rs in China was mainly due to reductions in the “high” and “very high” Rs values. The most probable causes of the trends in the variation in China were the decreasing sunshine duration and increasing anthropogenic aerosol loadings; while the trends in Japan were probably driven by the increasing sunshine and declining cloud optical thickness. Moreover, the similarities and differences between the M-K test and ITA technique results were compared and evaluated, and the ITA technique proved to be superior to the M-K test.
Performance Measurement of Blockchain-based Virtual Land in the Metaverse: A Repeat Sales Price Index for Decentraland

The rise of blockchain technology has led to the creation of a new generation of virtual world projects, which have attracted a range of commercial activities. The economic potential of these virtual environments has caused an increase in the virtual land market. While there are many virtual worlds, the land in each is limited in size and ideally cannot be changed, which reduces investment hold-up issues and constraints. Thanks to publicly available open-source technology, it is now possible to easily explore these new blockchain-based virtual land markets and its price dynamics. This study provides guidance on how to adequately model virtual land price indices. The study analyzes one of the first and most relevant large-scale blockchain- based virtual worlds, Decentraland. The data set used in the study is compiled from secondary market sales from the most relevant NFT (non-fungible token) marketplace. Using information on identical virtual land parcels, the study develops a weekly repeat sales index of prices for the period between January 2019 and August 2022. The study also performs several performance tests, which show that the repeat sales method provides superior index estimates compared to using an arithmetic price average or median price, which are often used in the market for virtual land. In addition to serving as a price benchmark, a virtual land market index can be appealing for asset pricing studies, as it can be used as a proxy for an unobservable market portfolio. Therefore, research on the physical real estate market can guide any research of virtual land markets.
The impact of social media sentiment on US REITs – a glimpse through the lense of ESG-conscious investors

In recent years, social media platforms have become vibrant online platforms where all kinds of market participants share their opinions on equity markets. This provision of opinions and thus of information has attracted the interest of the financial industry. Parallel to this trend, the finance and real estate industry have also recognized the importance of environmental, social, governance (ESG), due in particular to increasing pressure from the public. Bringing these developments together, this paper uses a textual analysis approach to analyze the public’s opinion on social media regarding the ESG performance of real estate related companies. The aim of the analysis is to examine how the public opinion on ESG is reflected in Twitter data and how it can be used to predict the performance of US REITs (Real Estate Investment Trusts). Therefore, using a three-step procedure, this paper first identifies ESG-related tweets, then measures the sentiment of those tweets using different natural language processing techniques and, using the results of the sentiment analysis, calculates the impact of those tweets on the performance of the corresponding company. The first step is achieved, by employing a Global Vectors (GloVe) model, which allows to select tweets based on ESG-related keywords of the corpus. In the second steps a lexicon-based method is applied to create a sentiment index, which is the baseline for the following analysis. Besides, a CNN-LSTM based sentiment index will be created, which might be more powerful in capturing the linguistic complexity of language in social media. Last, the sentiment indices are compared to the performance of the corresponding company in order to determine any correlation and predictive power. Our results not only show a significant correlation between the sentiment indices and the performance of the companies, but also a significant predictive power with positive tweets being associated with better performance and vice versa. These findings suggest that Twitter data can be a valuable source for predicting ESG performance and that using word embedding models, such as GloVe, and lexicon-based methods for sentiment analysis can improve the accuracy of the results.
Virtual Reality for effective workplace concept development – project concept

The immersive nature of Virtual Reality (VR) might help users gain a better understanding of possible workplace concepts because laypeople are not used to imagine spaces based on floorplans and example pictures only. For the study a VR-tool with different photorealistic workspaces will be developed that allows to change aspects (furniture, colours, plants, etc.) instantly. Data collection will be embedded in real workplace strategy projects of an industry partner. During focus group-workshops 100+ participants will complete a pre & post activity survey to assess their personality and preferences as well as their VR-experiences. It is expected to find that VR helps office users to broaden their understanding of space options and their impacts on work and emotions. Further-more, the research will help to understand space preferences related to personality traits.
A problem with the fixed past fixed

Abstract A novel fatalistic argument that combines elements of modal, temporal, and epistemic logic to prove that the fixed past is not compatible with the open future has recently been presented by Lampert (Analysis 82(3):426–434, 2022). By the construction of a countermodel, it is shown that his line of reasoning is defective. However, it is also explained how Lampert’s argument could be corrected if it were supported with an extra premise regarding the temporal status of a priori knowledge. This additional assumption—which was tacit in the original presentation—is shown to be the weakest link, and it is argued that, despite Lampert’s assurance, it can be plausibly rejected in a roughly Ockhamist framework. Thus, it is concluded that the fixed past poses no threat to the open future; however, a few different lessons about knowledge, necessity, and time are drawn from careful reflection on this novel argument.
Development of Literacy and Numeracy-Based Assessment Instruments for Madrasah Ibtidaiyah Teacher Education Students

This study aims to develop a good literacy and numeracy-based assessment instrument and the implementation of instrument of the assessment is expected to measure the literacy and numeracy skills of Madrasah Ibtidaiyah Teacher Education UIN Walisongo students. The development procedure in this study adopts the Cennamo and Kalk development reseachr program (R&amp;D) model with steps (1) defining phase, which includes literature study and preliminary observation; (2) the planning phase in the form of the preparation of 30 questions of literacy and numeracy-based assessment instruments; (3) the demonstration phase in the form of a theoretical test of the validity of the question by the expert; (4) the development phase in the form of improving questions based on validators' suggestions and conducting question implemented to number of 35 students to determine empirically valid questions; and (5) the phase of presenting theoretically and empirically valid question instruments as many as 19 questions on a broader scale with 42 students and determining the level of literacy and numeracy skills of students. The selected sample population was students of Madrasah Ibtidaiyah Teacher Education UIN Walisongo Semarang, third-semester class of 2020/2021. Sampling is carried out by purposive sampling technique. The result concludes that the assessment instrument developed meets the criteria of feasible and valid theoretically and empirically. The literacy and numeracy skills of PGMI UIN Walsiongo students in the low category are seen from the analysis of the six literacy and numeracy indicators.
The Identification Of Library Management Procedure In The School With C Accreditation Status

This study aims to identify the library management procedure in schools, using qualitative research and a case study approach. The data analysis technique used is based on the opinion of Miles and Huberman, which consists of three streams of activities that occur simultaneously namely, data reduction, data presentation, and conclusion drawing/verification. The results showed that there was no implementation of a good library management procedure at Sukajadi 02 Public Elementary School. The solution is to record all books and provide category labels on each shelf. The next step is to start implementing a good library management procedure. This study aims to identify the library management procedure in schools, using qualitative research and a case study approach. The results showed that there was no implementation of a good library management procedure at Sukajadi 02 Public Elementary School. The next step is to start implementing a good library management procedure.
Ethical musicality

The article is a review of Ethical Musicality (Gro Trondalen, 2023, Routledge) by Eva Sæther (Malmö Academy of Music, Lund University, Sweden).
DOT funding supports research to test digital construction tools

Federal Grants & ContractsVolume 47, Issue 23 p. 1-1 Article DOT funding supports research to test digital construction tools First published: 02 November 2023 https://doi.org/10.1002/fgc.33325Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume47, Issue232 November 2023Pages 1-1 RelatedInformation
Application of Augmented Reality for Furniture Catalogs

In the current rapidly developing era of technology and telecommunications, promotional media has become a crucial factor in business, particularly for furniture stores. Although the use of sales catalogs in print media is already common, it often leaves customers dissatisfied because it is only two-dimensional and requires a visit to the store. Therefore, more attractive and innovative promotional media is necessary to increase the appeal and sales value of a store. One technology that can be utilized for this purpose is Augmented Reality (AR) technology, which combines the real and virtual worlds in an Android-based catalog. A catalog application with AR technology can display furniture products in real-time and facilitate customers in selecting furniture by presenting a 3D image of the product from various angles. It is expected that customers will be more interested in furniture catalogs that use Augmented Reality technology and increase the store's sales value.
Training Algorithms for Mixtures of Normalizing Flows

In this paper, we focus on how a probabilistic mixture of normalizing flows can be fitted. In the literature, there are (at least) four approaches that do not necessarily provide an actual implementation of the method. These four algorithms are gradient ascent maximizing the log-likelihood of the data, (soft) expectation–maximization, hard expectation–maximization, and gradient ascent maximizing the evidence lower bound. Our contribution or the novelty of the paper can be described as follows: we (re)implement each method, we create a software program that encompasses all these four implementations, and we compare those on toy datasets and image datasets on which we fit a mixture of masked autoregressive flows. The non-linear flexibility is shown in the plots. The metrics and the running times are reported. There is not necessarily a certain training algorithm to be preferred, although there are some advantages and disadvantages for each. The code is available at https://github.com/aciobanusebi/training-algs-for-mnf .
Kùzu: A Database Management System For "Beyond Relational" Workloads

I would like to share my opinions on the following question: how should a modern graph DBMS (GDBMS) be architected? This is the motivating research question we are addressing in the K`uzu project at University of Waterloo [4, 5].1 I will argue that a modern GDBMS should optimize for a set of what I will call, for lack of a better term, "beyond relational" workloads. As a background, let me start with a brief overview of GDBMSs.
Employee Perception of Information Sharing on Supply Chain Performance

The telecommunication industry holds an immense share in Malaysian economic activities. This study aimed to determine the relationship between information sharing and supply chain performance, as well as whether this relationship is mediated by logistics integration. The study was conducted among 361 respondents from 21 Malaysian telecommunication firms in Malaysia by applying a structural equation modelling with SmartPLS. Findings revealed information sharing associated with supply chain performance. Logistics integration mediated the relationship between information sharing and supply chain performance. The study has implications for practitioners in the decision-making process of supply chain procedures in the telecommunications industry.
RESEARCH LITERATURE PRODUCTIVITY OF THE ONLINE JOURNAL WEBOLOGY (2006-2020): A BIBLIOMETRICS

The present study provided growth and development of research output in Webology journal. Research output in Webology journal are preferences of channel of communication in different category published. Article 272, editorial 15 book review 5, letters 2, notes 1, total publication are number of 295. year wise distribution maximum number of article 2020 number of articles are 92(31.18%). authorship pattern maximum multiple author contribution is 92. degree of collaboration 0.89 maximum collaboration 2019. And all over collaboration 0.65. number of authorship productivity Nourzi A. number of papers are 24. country wise distribution Iran maximum publication number of 63. University affiliation is Tehran university number of contribution 19 and output is 24.67%. Citation structure of Webology publication number of 1353 average citation par publication 4.58. average citation per cited publication 7.64.
MATHEMATICAL FRAMEWORK FORMULATION AND IMPLEMENTATION FOR HYPERSPECTRAL AEROSPACE IMAGES PROCESSING

This paper proposes a preprocessing algorithm for aerospace hyperspectral images based on a mathematical apparatus effectively applied in pre-compression transformation problems. In particular, several methods have been analyzed for hyperspectral image (signal) preprocessing from the point of view of digital signal processing algorithms. These mathematical methods are used for problems of filtering signals from noise of different natures and for compression and restoration of signals after their transmission through communication channels. The results of comparative analysis of preparatory processing of lossy compression algorithms based on wavelet analysis, discrete and orthogonal transforms are also given, demonstrating minimization of loss level of reconstructed decoded images. The performance of the proposed preprocessing algorithms with quality metrics is presented to evaluate the quality of the reconstructed hyperspectral aerospace images. The results of this study can be applied and used in the tasks of special processing of hyperspectral images, as well as fundamental knowledge of mathematical apparatuses of the proposed orthogonal preprocessing, considering the specificity of the data which is very important in obtaining images ready for compression for the subsequent identification of objects of the Earth's surface and using such mathematical transformations at the hyperspectral image preprocessing stage before compression provides efficient archiving of the obtained data, while reducing the communication channel load. Through the use of quality metrics of the reconstructed images, the preprocessing algorithm provides an understanding of the threshold of the peak signal-to-noise ratio value and the efficiency of its application to calculate and minimize the loss rate.
A BIBLIOMETRIC STUDY ON BLOCKCHAIN CONCEPT: A THEME ANALYSIS AND FUTURE DIRECTIONS FOR COMPUTER SCIENCE TRAINING

This paper aims to study the blockchain concept domain in the computer science field due to bibliometric study. Authors employed bibliometric and network analysis techniques to analyze existing literature. In total, 719 articles in the period of 2019 to August 2023 from the Web of Science (WOS) database were analyzed after applying search string, and criteria for inclusion and exclusion. Initial data screening involved the extraction of fundamental information, followed by data analysis based on co-occurrence, bibliographic coupling, and citation using special program software VOSviewer and R program. research areas "compute science" and "engineering". In addition to that, VOSviewer and R-based tools illustrate the application of text mining involves utilizing computational techniques to extract, analyze, and represent the key concepts and relationships within the field of blockchain technology. Data analysis primarily involved co-occurrence analysis, bibliographic coupling, co-authorship examination, citation analysis, and co-citation analysis. In the context of a blockchain concept thematic analysis, was applied clustering by coupling. Furthermore, it was conducted the thematic analysis to scrutinize the content of prior studies in the computer science field using clustering by coupling. Ranking of the authors, organizations, and countries was applied according to total link strength metric which was used to quantify the overall strength of connections between nodes within a network. Besides, citation analysis has also been conducted to assess the articles' ranking, considering both worldwide and localized citations. Bibliometric results indicate blockchain concepts within such thematic frameworks as access control scheme, identity management system, supply chain management, artificial intelligence integration, blockchain technology applications, and blockchain smart contract.
Analisis Sistem Informasi Akuntansi Penjualan Kredit Di PT. Nusa Andhalan

Every business is founded with the aim of making a profit for the owner in the future. Various strategies must be implemented, evaluated, modified, and developed continuously so that the company can maintain its existence. Not only in product marketing, but also aspects of human resources, information systems and management which are supported by the implementation of an internal control system must be the main concern of every business owner.&#x0D; In order to expand market share and sales volume, the Nuansa Karya Banyuwangi Store does not only serve cash sales, but also sells on credit. So that sales transactions increase. It's just that, the obstacle that is still being faced today is the continued increase in the number of uncollectible accounts every year. If this is not handled properly, it will cause losses for the company. So it is necessary to support data management based on Accounting Information Systems, which can support owners in making decisions.&#x0D; This qualitative descriptive study aims to determine the application of SIA at Nuansa Karya Store and its effectiveness in controlling receivables. The data were extracted from primary and secondary data sources. Both through the method of observation, interviews, and document analysis. Any data collected by researchers will be tested for validity through the triangulation method and extension of observations. The data were analyzed through three stages, namely: data presentation, data reduction, and drawing conclusions.&#x0D; From the results of field findings and discussions, it was concluded that Nuansa Karya's shop has not maximized the application of the Accounting Information System in managing sales transactions on credit. Receivables transaction data is recorded manually on the accounts receivable ledger and transaction evidence is not properly archived. In addition, there are dual duties of employees in carrying out the credit sales function. So that this condition does not optimally support the effectiveness of accounts receivable control and sales decision making.