Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF CREATIVE GAME METHODS ON LEARNING INTERESTS AND PRE-LITERACY SKILLS AT TK MAMBAUL ULUM SUKOWONOTHE EFFECT OF CREATIVE GAME METHODS ON LEARNING INTERESTS AND PRE-LITERACY SKILLS AT TK MAMBAUL ULUM SUKOWONO

This study aims to determine how much influence the creative play method has on learning interest and pre-literacy abilities at the early childhood education level at Kindergarten level. child. The type of research used is quasi-experimental research because here the researcher wants to apply an action or treatment. Students' learning interest which affects pre-literacy skills is measured from the work with the T-Test which is carried out on the average class value of A1 and A2 lines Equal variance not assumed that the Sig (2-tailed) value is 0,000 where the value is &lt; 0.05, it can be said that H0 is rejected, so it can be concluded that there is a significant difference / effect. From the mean difference, it shows that the class A2 score of -24 is greater than A1 of -31.8. This shows that although classes A1 and A2 show the same significant effect, class A2 shows a greater influence. It can be concluded that the application of the creative game method is proven to significantly improve the pre-literacy abilities of Mambaul Ulum Kindergarten students
Automated ICS template for STRIDE Microsoft Threat Modeling Tool

Industrial Control Systems (ICS) are specific systems that combine information technology (IT) and operational technology (OT). Due to their interconnection and remote accessibility, they become a target for cyberattacks. As a result of their complexity and heterogeneity in terms of devices and communication protocols, specific security controls and risk analysis methods need to be developed. In particular, in order to reduce the effort of deployment of risk analysis on such complex systems, automated methods need to be provided. This paper deals with automation of the risk identification process for ICS using the STRIDE threat modeling framework. We extend the well-known STRIDE modeling tool, namely Microsoft Threat Modeling Tool (MTMT), with an incremental template dedicated to ICS and provide additional tools to automate the analysis using specific vulnerability extraction from Internet CVE databases.
Thesaurus Enrichment via Coordination Extraction

We advance a method of thesaurus enrichment, based on the extraction of coordinations in a domain-related corpus. Our hypothesis is that there is a semantic homogeneity between the conjuncts located in a coordination. We conducted an experiment that allowed us to evaluate the effectiveness of our method. This experiment aims to enrich the concept hierarchy of a French agricultural thesaurus named French Crop Usage (FCU), thanks to the texts of the Plant Health Bulletins (PHB). The FCU thesaurus is published on the Web using the SKOS model.
STUDY COMPANION

The Study Companion Android Application is a comprehensive mobile platform designed to enhance the study experience for students and individuals preparing for academic and competitive exams. The application provides a user-friendly interface that allows users to easily download and upload notes related to their academic subjects and competitive exams. By centralizing study materials in one convenient location, the application simplifies the process of accessing and organizing study materials. The application offers various modules tailored to the specific needs of users. The Home Page module presents two options: "Academic" and "Competitive," allowing users to navigate between their academic subjects and competitive exam materials effortlessly. The My Info module provides a personalized space for users to manage their profile information and track their progress. To ensure a secure and efficient user experience, the application incorporates a Log-in and Register page module, where users can create accounts and securely access their personal information and uploaded notes. Additionally, an Admin module is connected to Firebase, enabling administrators to manage user accounts and handle backend operations effectively. The About module serves as a comprehensive resource, offering an app description and contact information for user support. Users can gain a clear understanding of the application's purpose and easily reach out for assistance or feedback. The Study Companion Android Application employs a robust system architecture, utilizing Firebase for seamless data storage, retrieval, and synchronization. The application has undergone rigorous testing, including unit testing, integration testing, and acceptance testing, to ensure functionality, performance, security, and usability. With its user-centric design, reliable architecture, and efficient functionalities, the Study Companion Android Application aims to provide a seamless and enriching study experience for users. By offering a centralized platform for downloading and uploading study materials, the application empowers users in their academic and competitive exam preparations, promoting knowledge sharing, collaboration, and effective learning.
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution

Look-up table(LUT)-based methods have shown the great efficacy in single image super-resolution (SR) task. However, previous methods ignore the essential reason of restricted receptive field (RF) size in LUT, which is caused by the interaction of space and channel features in vanilla convolution. They can only increase the RF at the cost of linearly increasing LUT size. To enlarge RF with contained LUT sizes, we propose a novel Reconstructed Convolution(RC) module, which decouples channel-wise and spatial calculation. It can be formulated as $n^2$ 1D LUTs to maintain $n\times n$ receptive field, which is obviously smaller than $n\times n$D LUT formulated before. The LUT generated by our RC module reaches less than 1/10000 storage compared with SR-LUT baseline. The proposed Reconstructed Convolution module based LUT method, termed as RCLUT, can enlarge the RF size by 9 times than the state-of-the-art LUT-based SR method and achieve superior performance on five popular benchmark dataset. Moreover, the efficient and robust RC module can be used as a plugin to improve other LUT-based SR methods. The code is available at https://github.com/liuguandu/RC-LUT.
Secure Middlebox-Assisted QUIC

While the evolution of the Internet was driven by the end-to-end model, it has been challenged by many flavors of middleboxes over the decades. Yet, the basic idea is still fundamental: reliability and security are usually realized end-to-end, where the strong trend towards ubiquitous traffic protection supports this notion. However, reasons to break up, or redefine the ends of, end-to-end connections have always been put forward in order to improve transport layer performance. Yet, the consolidation of the transport layer with the end-to-end security model as introduced by QUIC protects most protocol information from the network, thereby eliminating the ability to modify protocol exchanges. In this paper, we enhance QUIC to selectively expose information to intermediaries, thereby enabling endpoints to consciously insert middleboxes into an end-to-end encrypted QUIC connection while preserving its privacy, integrity, and authenticity. We evaluate our design in a distributed Performance Enhancing Proxy environment over satellite networks, finding that the performance improvements are dependent on the path and application layer properties: the higher the round-trip time and loss, and the more data is transferred over a connection, the higher the benefits of Secure Middlebox-Assisted QUIC.
Learning to Ask Clarification Questions with Spatial Reasoning

Asking clarifying questions has become a key element of various conversational systems, allowing for an effective resolution of ambiguity and uncertainty through natural language questions. Despite the extensive applications of spatial information grounded dialogues, it remains an understudied area on learning to ask clarification questions with the capability of spatial reasoning. In this work, we propose a novel method, named SpatialCQ, for this problem. Specifically, we first align the representation space between textual and spatial information by encoding spatial states with textual descriptions. Then a multi-relational graph is constructed to capture the spatial relations and enable spatial reasoning with relational graph attention networks. Finally, a unified encoder is adopted to fuse the multimodal information for asking clarification questions. Experimental results on the latest IGLU dataset show the superiority of the proposed method over existing approaches.
Idealized influence and the growth of intra-regional trade in the East African community

The study sought to investigate the influence of idealized influence of the Council of Ministers on the perceived growth of Intra-Regional Trade in the East African Community (EAC). The research question highligthed in this paper therefore is: To what extent does idealized influence of the Council Members influence the growth of Intra-Regional Trade in the EAC? The study adopted positivism research philosophy and explanatory sequential mixed design and was anchored on the transformational leadership theory. The target population comprised 205 Senior Trade Officers and Senior technical officers at the EAC headquarters. A sample size of 152 was drawn using random sampling technique. Data was collected using a structured questionnaire containing open and closed ended questions, while interview guide was used for the technical officers. Data collected was coded, cleaned and analysed using SPSS version 24 to obtaindescriptive and inferential statsitics. The results showed that ideаlizedinfluence significаntly predicted the growth of intra-regional trade in the EAC, R2= 0.162, F (1, 121) = 23.452, p &lt; .05; β = .364, t (9.197) = 4.843, p &lt; .05. The null hypothesis was rejected. The findings showed that increased idealized influence will have a positive effect on the growth of intraregional trade. The study concluded that to enhance the growth of intra-regional trade, the council should be aware that idealized influencebehavior enhances the growth of intra-regional trade. The study recommends further research on the moderating effect of national culture on the influence of idealized influence on the growth of intra-regional trade in the EAC.
STUDY OF TIDAL INFLUENCE ON FLOODING IN KECAMATAN SELAKAU

Kecamatan Selakau has a considerable risk of flooding, which occurs every year. Because it has a low topography, its location on the coast is undoubtedly greatly influenced by tides and is prone to tidal flooding. In an effort to anticipate and reduce the duration and frequency of rain by arranging the drainage system through technical study activities on drainage channels, especially on the Nyirih River drainage channel, which empties directly into the Selakau River.This research aims to examine the effect of the Selakau River's tides on the Nyirih River's drainage flow and the combination of tides and rainfall on the incidence of flooding in the Nyirih River channel. The research methodology used is the descriptive method. Hydrological analysis using the maximum daily rainfall data from Tebas Station. Then the Nyirih River water level tidal readings and the design discharge data are used in the hydrodynamic model analysis.Based on the analysis results using the HEC-RAS Version 6.1.0 software, the water level elevation from sta is at the highest tide conditions without rain. 0+000 to sta. 1 + 466,682 has exceeded the elevation of the existing channel cross-section so that it experiences inundation with a height of 0.02 m–0.4 m, and at sta. 1 + 694,439 to sta. 2 + 073.878, the water level is still below the existing cross-sectional elevation of the channel, so no inundation occurs. It shows that there is no effect or increase in water level elevation that occurs for the highest tide combination conditions with rainfall return periods of 2, 5, 10, and 20 years, and it is the same as the highest tide conditions without rain, which experience inundation with a height of 0.02 m-0.4 m. Normalization is inefficient and unsuccessful in decreasing floods since sea tides extensively impact the Nyirih along the river channel.
Individualized consideration and the growth of intra-regional trade in the East African community

The study sought to investigate the influence of individualized consideration of the Council of Ministerson the perceived growth of Intra-Regional Trade in the EAC. The research question for the study: Howdoes individualized consideration of the Council of Ministers influence the growth of Intra-RegionalTrade in the EAC? The study adopted positivism research philosophy and explanatory sequential mixed design and was anchored on the transformational leadership theory. Population for the study was 205Senior Trade Officers and Senior technical officers at the EAC headquarters. A sample size of 152 wasdrawn using random sampling technique. Data was collected using a structured questionnairecontaining open and closed ended questions, while interview guide was used for the technical officers.Data collected was coded, cleaned and analyzed using SPSS version 24 to obtain descriptive andinferential statistics. Results showed that the individualized consideration significantly influenced thegrowth of intra-regional trade in the EAC, R2=.366, F(1,121) = 69.786, p&lt;.05; β =.561,t(7.868)=8.354, p&lt;.05 leading to the rejection of the null hypothesis. Based on the findings, it wasconcluded that to enhance the growth of intra-regional trade, the council should be aware that theirindividualized consideration behavior enhances the growth of intra-regional trade. The studyrecommends for further research to understand the influence of the individualized consideration of theSummit members of the EAC on the growth of intra-regional trade.
ANALYSIS WATER AVAILABILITY AND WATER BALANCE IN IRRIGATION AREAS RINTAU, DISTRICT SEKAYAM

Population growth in Indonesia is increasing every year, resulting in an increasing need for food. To support maximum agricultural yields every year, irrigation is needed as well as the availability and demand for water for irrigation. water discharge to irrigate the fields. DI Rintau has decreased along with a decrease in the function of the water catchment area due to the existence of several soil channels, which can increase the possibility of seepage or infiltration and increase water loss. The purpose of this research is to analyze the availability and balance of water in DI Rintau. The method used to calculate water availability is using the mock method. analysis of water availability in the Rintau Irrigation Area using the Mock method, obtained a maximum reliable discharge of 707,512 l/s, namely in the first half of December, the minimum reliable discharge is 114,200 l/s, namely in the first half of September and the mainstay discharge is an average of 402,619 l/sec. Water balance analysis in the Rintau Irrigation Area, water demand is not met or there is a water shortage (deficit) in the first half of August, which is 205,201 l/s.
Students’ Competency Development in Writing Fiction through Mind Mapping Techniques

This study aims to improve Students’ writing competence on fiction to the 4th grade students in Elementary School. This research conducted in the Cijantung 03 Pagi of public elementary school. The teaching learning process was conducted in 2 cycles. On the pre-research, students’ competence on fiction was still low. It yelled 55% of students or 20 of 32 students had lower score (below the minimum completeness criteria/Kriteria Ketuntasan Minimum), after teaching learning process on the first cycle, students ‘writing skill on fiction increased till 75%, then in the 2nd cycle increased to 95%. It can be concluded that using mind mapping technic can increased students’ writing competence on fiction.
Perceived Difficulties and Use of Online Reading Strategies: A Study among Undergraduates

Online reading materials are considered as one of the important sources for EFL students.This is caused by the increasing number of learners who read texts and learn from online sources.The purpose of this quantitative research is to investigate the perceived use of online reading strategies among undergraduate students.To achieve the objective of the research, a 5 Likert-scale survey based on reading difficulties (Abeeleh and Al-Sobh, 2021) and online reading strategies proposed by Amer et al ( 2010) is utilised.This survey focuses on reading difficulties, global reading strategies, problem-solving reading strategies and support reading strategies.The survey obtained responses from 232 participants.Findings of the research suggested that, relating to reading difficulties, it is pertaining to the students' perception that made them feel that reading academic texts is a difficult task.Looking at the global strategies and problem-solving strategies, these learners have the tendency to refocus their attention, so that they are able to obtain better comprehension of the academic texts.In relation to supporting reading strategies, the learners depended on their translation abilities, as well as referred to other materials to gain more understanding.Several pedagogical implications are also addressed in the present study.
The Impact of Blockchain on Future Business Models within the Renewable Energy Sector

Blockchains, or distributed ledgers, are innovative information and communication technology (ICT) solutions that are emerging within various sectors and industries across the globe. This distributed ledger technology (DLT) is already widespread in certain sectors, mainly in the banking industry, often through corresponding banking, or syndicating and peer-to-peer (P2P) loans. Outstandingly, blockchain technology has the capability to enhance the transparency and authenticity of transactional processes throughout the whole supply chain. Another significant benefit that Blockchain technology provides, mainly coming from its transparent and decentralized nature, is the capability to decrease the information asymmetries among the collaborating partners. Through e.g. the digitalization of transactional mechanisms, decentralization of authority, Internet of Things (IoT) and asset management enabling as well as smart contracting, the improvement of the business's day-to-day operations is firmly forecasted. Importantly, the digitalization of the energy and other sectors will cause major alterations in current structures, and thus, it will require business model innovation. It is claimed that the decentralized nature of blockchain, mainly due to a reduction of middlemen could revolutionize current market structures and supply chains.Importantly, blockchain application is systematically growing across different industries, for instance in healthcare, voting systems, manufacturing, supply chain management, or luxury goods. It has also gained the attention of the energy industry, where digitalization is already visible in solutions such as smart meters and smart grids, electric e-mobility, vehicle-to-grid (V2G), energy cryptocurrencies and tokens, etc. This has resulted in the introduction of a novel concept of the Internet of Energy (IoE) in the academic literature. This literature analysis serves to determine the impact of blockchain on the imminent business models based on the renewable energy sector. The outcomes of this curiosity study provide numerous theoretical and managerial implications that can foster the widespread blockchain technology diffusion in global energy systems.
The Relationship Between Organizational Pride, Job Characteristics and Job Satisfaction: A Literature Review

Employees with a strong sense of pride in their organization may be more satisfied at work. This is because organizational pride can increase a person's sense of meaning and purpose in their work. Organizations should pay attention to job characteristics to enhance organizational pride and job satisfaction. The purpose of this study is to examine the relationship between organizational pride, job characteristics, and job satisfaction. Firstly, this paper defines organizational pride, job characteristics and job satisfaction. After that, there is a literature review of the previously reported findings regarding the relationship between organizational pride, job characteristics and job satisfaction. From a review of the extant literature on job characteristics, organizational pride and job satisfaction it can be concluded that future research needs to look into how job characteristics relate to organizational pride and job satisfaction because there is not enough research on the relationship between job characteristics and organizational pride.
Formal verification for quantized neural networks

Despite of deep neural networks are being successfully used in many fields of computing, it is still challenging to verify their trustiness.Previously it has been shown that binarized neural networks can be verified by being encoded into Boolean constraints.In this paper, we generalize this encoding to quantized neural networks (QNNs).We demonstrate how to implement QNNs in Python, using the Tensorflow and Keras libraries.Also, we demonstrate how to implement a Boolean encoding of QNNs, as part of our tool that is able to run a variety of solvers to verify QNNs.
Multi-Level Approach to Cybersecurity Education

This paper addresses challenges in building a cyber range platform and presents the design, implementation, and testing of a software platform for cybersecurity education, which scope ranges from technical universities to high schools.Our contribution is a multi-level approach to cybersecurity education, which is applied through extensive testing with students from two different technical universities and high schools.
Compression of Vehicle-Driving Data by Means of Orthogonal Bases

The paper deals with application of orthogonal bases in signal approximation with the aim of data compression in a vehicle driving simulator.Three different bases are tested: Discrete Fourier Basis, Discrete Cosine Basis, and Slepian Basis.Quality of signal approximation error is assessed in terms of global squared errors.Thus obtained numerical results suggest that Slepian Basis affords the sparsest representation of signals tested in this study.Therefore, a considerable reduction of required memory can be accomplished.
Assessment of Organizational Aspects Affecting Knowledge Management in Auditing and Consulting Firms

Globalization, rapid information technology development, and COVID-19 restrictions created challenges for organizations globally to use knowledge management practices to identify proper strategies and find solutions to satisfy changeable customer needs and develop uniqueness leading to leadership and mutual value creation. Knowledge management is an effective and efficient organization's management direction and practice that became necessary to improve organizational performance in a dynamic environment. Prior research showed that various organizational factors have different plaid roles in the knowledge management cycle and influence knowledge management processes differently. The main goal of this study is to explore the influence of specific organizational factors, flexible organizational culture and balanced organizational structure on the efficient implementation of five knowledge management processes, including knowledge application, creation, acquisition, sharing, and storage. The research was conducted in the unstudied context of Mideast countries and the knowledge-intensive auditing and consulting firms’ sector. Following the scientific literature analysis, the research model was developed, and the research hypotheses were proposed and then quantitatively tested through the structural equation modeling (SEM) technique. This study's results supported the hypotheses that the identified organizational factors were significantly associated with the knowledge management cycle