Reviewerly/exHarmony huggingface dataset:
Significance of School Libraries in Online Teaching-Learning Activities during the COVID-19 Pandemic in select National Schools of Batticaloa District, Sri Lanka

There is a tendency in reported documents pertaining to school education in Sri Lanka to have literally omitted school libraries and information resources. Teachers and students struggled to gain access to appropriate information resources. After performing a pilot survey to validate the reliability of the questionnaire, a sample of 209 subjects was randomly selected from 459 teachers in select National Schools in Batticaloa Education Zone. A semi-structured questionnaire was administered across WhatsApp groups of those teachers and response rate was 77.5%. Data were analysed using One-Sample Wilcoxon Signed-Rank, Chi-Square, and thematic analysis since a mixed method was employed. In this survey, teachers have expressed that school libraries were essential in providing resources to support teaching-learning activities although they have not received sufficient support from school libraries. Study further found that the role of school librarians in educating teachers and students with respect to copyright was underrated. Therefore, as the study results revealed, there was a considerable gap between the need and the availability of resources, which needs to be bridged through school libraries.
A Chaos Based Joint Image Compression and Encryption Scheme

Cryptography is a technique used for secure communications or information in the presence of third parties. This work proposes an Image encryption algorithm using the chaotic map. First, this method is produced to generate the secret key using a logistic map. Encryption includes two processes confusion and diffusion and compression is performed using the DWT method. It has compressed the size of the image. The output verified this method has better security performance.
Manajemen Resiko Teknologi Infor Manajemen Resiko Teknologi Informasi terhadap Audit Internal dan Dampak yang Ditimbulkan

In this research, researchers will analyze the use of information technology in the internal audit process and the impact it causes, both good and bad impacts. This analysis process uses descriptive qualitative methods with literacy studies through journals and articles related to internal audit. Researchers will use the journal or article by comparing and matching data from existing research results. After the data is collected, the researcher will draw conclusions from the data obtained. The result of this research is that the use of information technology has an impact on the internal audit process. There are good and bad impacts, including the ease of auditing process and speed when auditing large amounts of data. However, the bad impact is that the command input error on the computer makes the audit process repeat itself, besides that auditors still need to re-examine the results of computer audits because computer audit results are not always accurate. Damage that may occur to the device can also affect the auditing process.
Quantum Tensor Architecture for High-dimensional Computations (QTAC). Computational Proposal.

The Quantum Tensor Architecture for High-dimensional Computations (QTAC) introduces a groundbreaking computational framework, harnessing the capabilities of tensors to adeptly represent intricate, high-dimensional quantum systems. Leveraging tensors' prowess in managing complex data interrelationships, QTAC not only facilitates simulation and prediction of quantum behaviors but also offers solutions to currently intractable quantum mechanical challenges. Embedded with the golden ratio principle, this nascent architecture holds immense promise, potentially heralding a new era in quantum computational methods and deepening our grasp on quantum mechanics.
Some completeness results in derivational modal logic

Abstract Alongside the traditional Kripke semantics, modal logic also enjoys a topological interpretation, which is becoming increasingly influential. In this paper, we present various developments related to the topological derivational semantics, based on the Cantor derivative operator. We provide several characterizations of the validity of the axioms of bounded depth. We also elucidate the topological interpretation of the axioms of directedness and connectedness—which come in different forms, all of which we examine. We then prove results of soundness and completeness for all of these logics, using a range of old and new techniques.
Development of Higher Order Thinking Skills-Based Multiple Choice Test Items Using Quizizz Application to Measure the Cognitive Abilities of Early Childhood Students in the Early Beginning Classes

The purpose of this research is to determine the development of Higher Order Thinking Skills (HOTS)-based multiple-choice question instruments through Quizizz application to measure the cognitive abilities of early childhood students in the early grades. The method used in this study is the research and development ADDIE method. The results of this study show that the developed HOTS instrument using Quizizz meets the validity criteria based on validity tests. The results of content validity test by subject matter experts indicate 90% validity with a highly valid category, while the media experts' validation results show 83% validity with a highly valid category. The practicality questionnaire validation results from the students indicate 85% validity with a highly valid category. The results of construct validity test state that each item has a calculated r-value higher than the table r-value, indicating its validity and suitability for use. The reliability test yields a value of 0.799, which falls under the high reliability category with a range of 0.600-0.800. The difficulty level test results, with an average of 0.73, indicate that the questions are easy, demonstrating good quality difficulty levels. The item discrimination test results show an average of 0.432, indicating good discriminatory ability. The practicality test results from the students show 89% practicality with a highly practical category. Based on the test results of the students' abilities after being given the questions, it can be concluded that out of the 97 students who answered the 20 HOTS multiple-choice questions, 55 students had an excellent level of ability, 10 students had a good level of ability, 27 students had an average level of ability, and 5 students had a very poor level of ability. Thus, the average score of the 97 students is 71%, falling under the good category.
Naïve Bayes and Laplacian Correction Method in Agrarian Application of Vegetable Crops

Indonesia is one of the agricultural countries with the livelihood of the population coming from agro-industrial agriculture. Onfarm agricultural activities, commodities that are widely cultivated are vegetable and fruit crops. The problem that occurs at this time is that physically the vegetables grown experience failure and a decrease in the quality of growth. Socially, many people complain about the quality of vegetables in the market, and this has an impact on the economic decline of farmers. For this reason, this research aims to assist farmers in classifying their land information data. The data classification is a web-based application that will process data in the form of soil type, soil texture, soil pH, temperature, rainfall, soil fertility, soil moisture, altitude, wind speed and sunlight. The data processing uses the Naïve Bayes and Laplacian Correction methods. The trial was conducted in Padang Panjang City, West Sumatra, Indonesia. The results of this research are in the form of a web-based Vegetable Crop Agrarian application. test data used as much as 27 data on the types of vegetables that have the potential to be planted in Padang Panjang City and produce the most recommended crops, namely Radish vegetables. This interprets that the application can be built well and presented as an alternative in helping farmers before planting crops in Indonesia.
The Exploring University Students' Speaking Skills Through Think Pair Share Method in Online Learning

This quantitative research study analyzed the implementation of the TPS method on students' speaking skills. Twenty-seven students in the English education program at Universitas Muslim Indonesia participated in the study, which applied a speaking test and observation sheet to collect data on participants speaking skills. The study analyzed the implementation of TPS on students' speaking skills in terms of accuracy and fluency dealing with vocabulary and Grammar, as well as smoothness and self-confidence. The findings revealed that the use of the TPS method was able to improve students' speaking abilities. The result of the students' mean score in speaking accuracy in terms of vocabulary in cycle I was 6.85, and in cycle II, it was 7.97, which was improved by 1.12. Grammar in cycle I was 6.59; in cycle II, it was 7.73; it was improved to 1.14. Speaking fluency in terms of smoothness in cycle I was 7.10; cycle II was 8.22, it was improved to 1.12. Self-confidence in cycle I was 6.62, and cycle II was 8.54. It was improved to 1.92. The study concluded that the TPS method improved students' speaking skills of students. These findings contributed to understanding the potential benefits of the TPS method for improving students' speaking skills.
Meta-Analysis: The Effect of E-Learning-Based Mind Mapping on Students' Critical Thinking Skills

critical thinking skills. The type of research is meta-analysis research. The data sources in this meta-analysis research are 11 national and international journals that have been published from 2018-2023. The method of selecting data sources is the PRISMA method. The process of searching for data sources through Google Scholar, Eric and Proquest. The technique of collecting data sources is direct observation and documentation through the journal database. Data analysis is quantitative analysis by calculating the effect size value, standard error and average value (mean) with the help of the JSAP application. The results of this study indicate that the average effect size value is = 0.812 with high criteria. This finding explains that the e-learning-based mind mapping model has a significant effect on students' critical thinking skills. The e-learning-based mind mapping model fosters critical thinking skills so that it supports students' digital literacy in learning
Implementation of Data Mining in Grouping Data of the Poor Using the K-Means Method

Processed, especially data on people who are classified as poor. So that the provision of assistance from the central government or donors is right on target. In village governance, data processing often occurs that is not good and does not use technology, so if any assistance is provided it will make it difficult for the village government to distribute it to poor people. This study aims to classify the data of the poor by implementing data mining and applying the K-means algorithm for grouping data of the poor by applying the K-means algorithm. The research method used is observation research methods and direct interviews to obtain problems and data needed in data processing. The data used is community data. The results of the study obtained that the poor community group was divided into three parts, namely: Poor, Simple, and Able. So it can be seen that there is no shift or change in the data group towards the center of the cluster.
Cognitive graphs: Representational substrates for planning

Making plans for upcoming actions is a computationally demanding process. To mitigate these demands,individuals can build extensive internal models of their environment – states, actions, and their sequential relationships– that allow for plans to be developed with minimal computational costs. Initially, these models reflect elaboratenetworks of learned associative relationships, which can be used to generate plans for reward through more iterativecomputations such as trajectory sampling. After sufficient experience, compressed forms of these models can efficientlycapture long-range sequential structure, allowing them to be used for rapid planning even in pursuit of novel orchanging rewards. Here, we review recent work on the multitude of representations that can support different formsof planning. We discuss how cognitive graphs, a framework with roots in both cognitive psychology and computerscience, can provide a unifying view of these representations and their relationships to one another. Conceptualizinginternal models as forms of graphs situates them on a spectrum where different kinds of structured sequencescan be queried to support both planning and the formation of iteratively more compressed predictive representations.We discuss how each of these kinds of cognitive graphs are created during learning, and used to transfer and generalizeknowledge across environments. Taken together, this review highlights the significant impact that the variousassociative structures of memory have on planning.
A Global Structural Hypergraph Convolution Model for Bundle Recommendation

Bundle recommendation is provided to users by combining related items into a bundle, enhancing the user&amp;#039;s shopping experience and increase the merchant&amp;#039;s sales revenue. Despite the success of existing solutions based on Graph Neural Networks(GNN), there are still some significant challenges: (1)It is demanding to explicitly model multiple complex associations using standard graph neural networks. (2)Numerous additional nodes and edges are introduced to approximate higher-order associations. (3)The user-bundle historical interaction data is highly sparse. In this work, we propose a Global Structural Hypergraph Convolution model for Bundle Recommendation (SHCBR) to address the above problems. Specifically, we jointly incorporate multiple complex interactions between users, items, and bundles(three entities) into a relational hypergraph without introducing additional nodes and edges. Higher-order associations are already involved in the hypergraph structure which alleviate the training burden of neural networks and the dilemma of scarce data. In addition, we design a special matrix propagation rule that captures non-pairwise complex relationships between entities. Using item nodes as links, hypergraph convolution propagation between user and bundle nodes generates the learned representations. Experimental results on two real-world datasets demonstrate that SHCBR outperforms the state-of-the-art baselines by 11.07%-25.66\% on Recall and 16.81%-33.53% on NDCG. We publicly release the codes and datasets at https://github.com/Lxtdzh/SHCBR-master/.
Spam Spoiler for Public and Private E-Mail Services

Abstract: In recent years, cyber security incidents have occurred frequently. In most of these incidents, attackers have used different types of spam email as a knock-on to successfully invade government systems, well-known companies, and websites of politicians and social organizations in many countries. The detection of spam mail from big email data has been paid public attention. However, the camouflage technology of spam mail is becoming more and more complex, and the existing detection methods are unable to confront the increasingly complex deception methods and the growing number of emails. In this project, we proposed to design a novel efficient approach named Spam Spoiler for big email data classification into four different classes: Normal, Fraudulent, Harassment, and Suspicious E-mails by using LSTM-based GRU. The new method includes two important stages, the sample expansion stage and the testing stage under sufficient samples. This project the LSTM-based GRU efficiently captures meaningful information from E-mails that can be used for forensic analysis as evidence. Experimental results revealed that Spam Spoiler performed better than existing ML algorithms and achieved a classification accuracy of 98% using the novel technique of LSTM with recurrent gradient units. As different types of topics are discussed in E-mail content analysis. Spam Spoiler effectively outperforms existing methods while keeping the classification process robust and reliable.
Rare Editions of N. M. Karamzin’s Works in Novosibirsk Libraries

Lifetime and rare editions of works of great writers, researchers, public figures are of special cultural and historical value and enjoy the increased attention of the keepers of book collections and visitors of book museum exhibitions. The purpose of this article is to introduce into scientific circulation the rare copies of domestic and foreign editions of works of the historian and writer N. M. Karamzin (1766 – 1826), stored in the Novosibirsk State Regional Scientific Library (NSRSL) and the State Public Scientific and Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS). Among them are books from the library of the Kolyvan-Voskresensk mining plants, including those received there from personal collections of mining engineers, copies of the journal “Vestnik Evropy” for 1802-1803 from the collection of V. S. Mikhalkov, a volume of “History of the Russian State” used in one of the oldest educational institutions in Russia – the Smolensk Boys’ Gymnasium, a volume of a lifetime edition of the “History of the Russian State”, which belonged to the historian, archaeographer P. M. Stroev, the compiler of the “Key, or alphabetical index to the “History of the Russian State” by N. M. Karamzin”.Special attention should be paid to the first complete Russian-language edition of “On Ancient and New Russia in its Political and Civil Relations”, written in 1811, addressed directly to Emperor Alexander I and for censorship reasons first published only abroad, in Berlin, in 1861. A copy from the Department of Rare Books and manuscripts of the State Public Scientific Library of SB RAS is unique in that it contains proofreading notes of the historian A. N. Pypin. Relying on this copy of the Berlin edition of N. M. Karamzin’s work and consulting the handwritten copies of it which were at his disposal, he prepared the first complete publication of the text of this manifesto of Russian conservatism in Russia in 1900 as an appendix to his monograph “Social Movement in Russia under Alexander I”. A careful study of valuable publications from the collections of Novosibirsk libraries deepens our knowledge about the book culture of Siberia and, more broadly, about the history of Russian-language book culture, about the history of the formation of Novosibirsk book collections, demonstrates the continuity of these collections in relation to the outstanding book collections of the past.
Effectiveness of Educational Programme on Knowledge of Staff Nurses regarding Stem Cell Transplantation at Sher-e-Kashmir Institute of Medical Sciences Soura Srinagar, Kashmir

Introduction: The discovery of stem cells has led to a revolution in modern medicine. Stem cell research has been broadly explored worldwide to enhance human health in a medical setting. The study was conducted with the aim to improve the knowledge of staff nurses regarding stem cell transplantation. Stem cell transplantation is a greater positive impact on the treatment of life-threatening diseases. Stem cell transplantation is a life-saving procedure for several malignant and non-malignant life-threatening diseases, more than 50,000 stem cell transplantations are being performed annually worldwide.Methodology: A pre-experimental one-group pre-test and post-test design were used to conduct the study. 50 study subj ects working in selected areas of SKIMS (Clinical haematology, medical oncology and pediatric medicine) were selected by purposive sampling technique. Data were collected by administering a self-structured knowledge questionnaire.Results: The majority of the study subjects 21(42%) belonged to the age group of 31-40 years, 40(80%) were females, and 37(74%) of the study subjects had B.Sc Nursing degree, a maximum of m 37(74%) study subjects had 1-10 years of working experience, and 44(88%) had textbooks as the previous source of information.Conclusion: The findings of the study concluded that study subjects were having inadequate knowledge regarding stem cell transplantation. The educational programme was found effective in increasing the knowledge score of study subjects. The recommendations made were to replicate the study on a large sample. How to cite this article:Ahmad I, Bano Z, Akhter A, Kachroo M, Bassen S, Jaan Y. Effectiveness of Educational Programme on Knowledge of Staff Nurses regarding Stem Cell Transplantation at Sher-e-Kashmir Institute of Medical Sciences Soura Srinagar, Kashmir. Trends Nurs Adm Edu. 2022;11(2):24-31.DOI: https://doi.org/10.24321/2348.2141.202207
Perancangan E-Katalog Brand Emonstore

Emonstore which was established in 2020 was carried out from social media and also opened a boot in front of the post office, Jalan Garuda no.20 Lubuklinggau City, selling the Emonstore brand through promotional supporting information media with E-catalogs. This research makes promotional media that contains information data about products and attracts consumers through the right promotional media so that in the future it is easily recognized by consumers and increases sales results. The design of the Emonstore E-catalog is made based on sources, namely in the form of data that has been collected through interviews with owners. The purpose of designing is to design the right promotional media according to the target audience of Emonstore. Promotional media in the form of a catalog makes it easier for consumers to see products, because the catalog designed contains product information data. The purpose of promotion is to inform an audience who do not yet know the product or service being promoted. The writing is designed using the glass box approach. Emonstore catalog, it is evident that the E-catalog's design was created using the idea of Emonstore's attributes.
IMPLEMENTASI BUSINESS INTELLIGENCE MENGGUNAKAN TABLEAU UNTUK VISUALISASI PREDIKSI KELULUSAN MAHASISWA

Prediction of student graduation plays an important role in college programs to help students stay high-achieving and graduate on time, as well as produce the best graduates. Information about the number of students graduating in college plays a significant role in decision-making through visual representation of data. This article aims to describe data on student graduation predictions in college through visual representation using Business Intelligence and Tableau tools with data from www.kaggle.com. The results of this research are presented in the form of a dashboard that includes GPA, academic achievement, organizational involvement, and gender in college, which can be used to support decision-making. Visualizing data through analysis using an interactive Tableau dashboard is expected to make information more engaging and easily understandable. Predicted students who graduate on time have adequate GPA, participate in campus activities, and are mostly male.