Reviewerly/exHarmony huggingface dataset:
Job Satisfaction, Organisational Commitment and influence on Work Performance of Academic Leaders in Tamil Nadu Universities through Structural Equation Modeling

Background: In current days significance of employees and their attitude on working place is accomplishment immense attention of researchers. The psychological well being and attitude of academic leaders is considered very much important as they directly influence the minds of young blood. Extensive research has been through to study the impact of work performance, satisfaction and commitment of academicians and academic leaders. And almost all of them are clear about the influence of those things. As work performance, job satisfaction and organisational commitment as essential for organisational development, factors influencing those things are also gaining importance.Methodology: The researcher used expressive research plan. For collecting the primary data, self- administered scale on organisational commitment, job satisfaction and work performance was used. Totally 248 samples were collected with the help of stratified random sampling method.Findings: The investigator identified significant influence of organisational commitment on job satisfaction and of academic leaders of Tamil Nadu Universities.Conclusion: The positive influence of organisational commitment factors on work performance, job satisfaction of academic leaders should be taken as a case in point, and the researcher concludes, the focus on organisational commitment of academicians and students will indirectly pave ways for improved economy.
Discursive Strategies and Resistance Ideologies in Victims’ Narratives in Stella Dimoko Korkus’ Domestic Violence Diary

By adopting the semantic and syntactic-related structures of van Dijk’s (1997) political discourse analysis, this research paper examines twenty-one (21) hate discourses by selected political actors in Nigeria. The hate discourses were obtained from the Nigerian online newspapers as well as from the Twitter handle of political actors. The first set of analyses examines the semantic- related structures of hate discourses and discovers that they contain implicit and explicit structures where hate speakers make propositions with positive predicates about the hate speakers’ own group rather explicit than implicit. The finding also reveals that the selected hate discourses manifest the semantic structure of local discourse coherence where the negative actions of in-group members are treated as an exception whereas those of out-group are overgeneralised. The findings obtained from the syntactic-related structures of hate discourses reveal that hate speakers use pronouns to emphasise their bad deeds and emphasise our good deeds. The research also discovers that in hate discourses, stereotypical words are topicalised as a way of showing emphasis. These findings suggest that hate discourses in Nigeria conform to the syntactic and semantic aspects of discourse structures as enunciated in van Dijk’s (1997) political discourse analysis. The study also discovers that hate speech hinders Nigeria’s national development because of inter-ethnic tensions caused by doubt, lack of trust and suspicion. Together, these findings provide important insights in the way political actors use hateful tags on each other in order to secure political power.
LibGuides: Cataloging Manual: Edit Bibliographic Records in Koha

The Northwest Arkansas Community College Cataloging Manual. A Koha record consists of tabs 0 through 9. Each tab contains the bones to build a bibliographic record.
THE INFLUENCE OF SUMMARIZING TECHNIQUE TOWARDS THE STUDENTS’ WRITING ABILITY AT THE EIGHTH GRADE OF MTS NEGERI 3 LAMPUNG SELATAN IN 2020/2021

Many students in junior high school cannot write in English well. It  might be caused by the lack of vocabularies, inability in expressing their idea in written form and unfamiliarity of words. In overcoming these problems, the researcher tried to use Summarizing Technique in writing ability.  This technique can help the students to be easier in writing a text. The objective of the research was to know the influence of Summarizing Technique towards students’ writing ability.In this research, the writer used experimental method. The population of this research was 94 students. The writer used cluster random sampling technique to determine the sample. There were two classes for the sample. The experimental class is VIII A and the control class is    VIII C.Based on the data analysis, the writer got the result of research with formula t-table (1-½α)(+2) and the result for significant level 5% and 1% = 5>1.65>2.01. It means that t-ratio > t-table. So, Ho is rejected, it means that there is an influence of teaching writing through Summarizing Technique towards students’ writing ability at the eighth grade of MTs Negeri 3 Lampung Selatan in 2020/2021.
CLASSIFICATION OF MAMMOGRAMS HAVING ARCHITECTURAL DISTORTION AND SPICULATED MASSES USING TEXTURE FEATURES

Architectural distortion is the third most common mammographic appearance of nonpalpable breast cancer, representing nearly 6% of abnormalities detected on screening mammography. Although its prevalence on mammography is small compared with calcication or visible mass, architectural distortion is also more difcult to diagnose because it can be subtle and variable in presentation. Early detection of breast cancer is possible by nding architectural distortion in monographic images. Spiculated masses account for about 14% of biopsied lesions and about 81% of these are malignant. Current CAD systems are dramatically better at detecting microcalcications than masses. The sensitivity is considerably lower for Spiculated Masses that are rated as "subtle" by radiologists Moreover, since current systems were devised with masses and calcications in mind, they don’t perform as well on other, less prevalent but still clinically signicant lesion types. In this paper, we propose a computer aided diagnosis system for distinguishing abnormal mammograms with architectural distortion or spiculated masses from normal mammograms. Five types of texture features GLCM, GLRLM, fractal texture, spectral texture and HOG features for the regions of suspicion are extracted. Support vector machine has been used as classier in this work. The proposed system yielded an overall accuracy of 97.29% for mammogram images collected from mini-MIAS database which is better as compared to existing methods.
Investigating the Effect of Schools' Ethical Space on Organizational affiliation teachers

Nowadays, human resources are considered to be the best competitive privilege of any organization in the world, and, thus, humans are gaining unprecedented significance in the organizational theory. Human resources can be a serious obstacle to the organization. Similarly, they can help organizations compete. The aim of this study was to investigate the effect of ethical environment on teachers' job accountability. An applied descriptive type of method was used. The participants of this study were 450 senior-high school teachers in Khorramabad, in the academic year of 2017-2018. 210 of them were selected randomly, using available sampling and Morgan Table. The data collection instruments were Victor and Cullen's (1987) Questionnaires with 26 questions, and Shawfli et al.’s (2003) Questionnaire containing 17 questions with Five-Likert Scale, with reliability coefficients of 0.841 and 0.846 respectively. Moreover, in this study, PLS software was used to test the hypotheses as well as the model. The findings showed that the organizational ethical environment (instrumental, attention, independence, organizational rules and regulations, professional rules and ethical codes) affects teachers' job affiliation. According to the research findings, school principals can affect the organizational behavior of the employees and increase their job affiliation by managing the ethical climate of the school.
Technology blueprint premier electronic / Iqbal Ali Mohd Azman

This blueprint is on Premier Electronic which is a small business unit that provides services for the customer to get new electrical utility and appliances. Encik Iqbal Ali Mohd Azman is the sole owner and employee of Premier lectronic and this business is formed under sole proprietorship on 19th of May 2020. It is situated at Lot 33 Oakland Seremban 2, Jalan Haruan, Oakland Industrial Park, 70300 Seremban Negeri Sembilan which is a strategic location that has potential market in order to achieve the business’s market goals.Premier Electronic has identified three key factors that will be instrumental to its sustainability. The first factor is to ensure 100% customer satisfaction. This small business will make sure those repeat customer and customer referrals are valuable. Next, this business will also design, sell meaningful and valuable power protection products.
Search Engine Optimization

Due to the presence of a massive range of internet sites, the search engine includes a crucial job of providing the relevant pages to the user, Search Engines like Google, use Page Ranking algorithmic program to rank sites in keeping with the standard of their content and their presence over the planet wide internet. programme improvement could be a method of accelerating the probabilities of a webpage to seem within the 1st page of the search result. Since, whenever the buyer searches for info, they supply a specific phrase or a keyword rather than the entire internet address, then the search engine use that keyword to seek out the relevant sites and show it in a very list with the foremost relevant page at the highest. So, a company might use programme improvement techniques to achieve up to its potential client by showing at the highest of the search results. during this paper, we'll be classifying and reviewing totally different technologies for search engine improvement supported their importance and their usage.
The data intactness of efficient audit service outsourcing for data integrity in clouds

The cloud is the web-based computer which allows services to be exchanged. It enables users to use the application on any device with internet or intranet access without having an application installed and allows users to access their personal files and applications. Many people have recently used databases to store their data in the cloud. This is useful because it helps users to save data and allows users to access it anywhere and anywhere. The cloud has changed the way applications and databases are saved. Nowadays, running computing servers are stored in cloud computing. The main consideration of cloud information storage is the protection of cloud-specified information. The modern phenomenon used to store and handle data without investments in resources created many security problems that do not seem fully understood. This article focuses on cloud server information security and integrity. A third-party investigator is completed with the verification of data integrity who can sporadically check data integrity on behalf of his consumers.
Design of Block Cipher Based Lightweight Cryptography for Image Encryption Decryption Process

The Internet of Things (IOT) is a promising future technology that will connect billions of devices. More correspondence is expected to be delivered. Information security and data pinnacles can be dangerous. The size of the device in this engineering is basically small, and it uses very little power. Many rounds of encryption are basically a waste of Gadget vitality requirements. However, a less complicated calculation, conceivable compromise, necessitated uprightness. It is a 64-bit square secret key that encrypts data with another 64-bit key. To replace the system simulation, the calculation engineering is a mix of Feistel and uniform substitution. The results show that the calculation only provides a significant level of security after five rounds of encryption. The Internet of Things provided proof for providing social and financial benefits to the developing and emerging economies, including supported farming, water quality issues, human services issues, projects, and condition management, among other things. IOT also promises to become a means of achieving the United Nations' Sustainable Development Goals. The vast scope of IOT problems is nothing new to industrialized countries. Developing districts must also respond to the benefits of the Internet of Things. Furthermore, the requirements and challenges of implementing this concept in less-developed areas must be addressed, including frameworks, market and venture motivating forces, specialized skills, and approach assets. Because the connections between things, the planet, and the general public are becoming increasingly dynamic, the Internet of Things that is currently taking place promises to deliver a progressive, fully connected brilliant world. However, the tests and concerns about IOT should be considered and addressed in order to determine the potential benefits to individuals, society, and the economy. Finally, maximizing the benefits of the Internet of Things while minimizing security risks cannot be achieved by engaging in a never-ending debate that pits IOT against its attributes. To give away the best routes in the future, it will take dedicated dedication and collaboration across partner meetings. The use of IOT segments has raised a slew of legal questions and exacerbated already-existing legal problems related to the Internet. The investigations are massive in scope, and the rapid advancement of IOT technology addresses the capacity of the relevant approach, as well as the legal and administrative zones, to be modified.
전공 선택의 관점에서 본 대졸 노동시장 미스매치와 개선방향 (Mismatches in the Labor Market for College Graduates: Focusing on Field-of-Study Choice)

Korean Abstract:대학 전공과 직업 간 높은 미스매치는 각종 정원 규제로 인한 학과 간 정원조정의 경직성, 학과별 취업정보의 부족, 전공 선택 시기의 획일성 등에 기인하고 있다. 기술과 산업의 빠른 변화에 대응하려면 정원 규제, 진로 교육, 전공 운영 등의 개선이 필요하다. English Abstract:The intense major-occupation mismatch is attributed to difficulties in adjusting admission quotas within universities, insufficient labor-market information at the department level, and uniform timing of decisions on college majors. To cope with the rapidly changing technological and industrial landscapes, efforts are needed to make meaningful improvements in quota regulation, career education, and university-level curricula.
OMUI-HML: An optimal malicious URL detection and classification using hybrid machine learning technique

As a result of the rapid development of web attacks, many web applications are vulnerable to various security threats and network attacks.Detecting URL security is always a web security hub.Multiple web application resources can be accessed by entering a single URL or by clicking on a link in a browser.Therefore, it is important to improve the reliability and security of web applications by accurately fixing malicious URLs. This paper proposes the identification of optimal malicious URLs using Hybrid Machine Learning (OMUI-HML) technology.First, we extract few features from datasets and select optimal features using enhanced swallow swarm optimization (ESSO) algorithm. Then, a hybrid deep Q neural network (DQNN) classifier used to identify the normal and malicious. Finally, the performance of proposed OMUI-HML technique is evaluated through two different standard datasets such as phishing websites and URL reputation. The proposed OMUI-HML technique has performed well enough in terms of malicious detection .
Square Transposition: An Approach to the Transposition Process in Block Cipher

The transposition process is needed in cryptography to create a diffusion effect on DES and AES algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called Square Transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and teh retrieval scheme that have unequal flow is an important factor in producing a good transposition. The Square Transposition can generate random and non-pattern indices, so that transposition can be done better than DES and AES.
Cyclic Arbitrage in Decentralized Exchange Markets.

Decentralized Exchanges (DEXes) such as UniSwap allow users to create trading pools between any pair of cryptocurrencies. The exchange rate of each trading pool is independent, which introduces arbitrage opportunities with trading through different cryptocurrencies: Traders are able to trade cryptocurrencies cyclically: A trader can exchange currency $A$ for $B$, then $B$ for $C$, and finally $C$ for $A$ again through three different trading pools. Almost surely, the three floating exchange rates are not perfectly in sync, which opens up arbitrage possibilities for cyclic trading. In this paper, we study cyclic arbitrages in DEXes of cryptocurrencies with transaction-level data on Uniswap, measuring 285,127 cyclic arbitrages over nine months. We conduct a theoretical analysis and an empirical evaluation to understand cyclic arbitrages systematically. We study the market size (the revenue and the cost) of cyclic arbitrages, the influence of cyclic arbitrages, and the implementations of cyclic arbitrages.Beyond the understanding of cyclic arbitrages, this paper suggests that with the smart contract technology and the replicated state machine setting of Ethereum, arbitrage strategies are easier implemented in DEXes than in Centralized Exchanges (CEXes). We find that deploying private smart contracts to implement cyclic arbitrages is more resilient to front-running attacks than applying cyclic arbitrages through public (open-source) smart contracts.
FeTGAN: Federated Time-Series Generative Adversarial Network

The key to producing high-fidelity time-series data is to preserve temporal dynamics. This means that generated sequences respect the relationship between variables across time as in the original data. While new types of GANs have been used to generate time-series data, they, like previous GAN implementations, are time consuming to train. A novel federated framework is proposed, which generates realistic time-series data, by combining supervised and unsupervised training. The framework is based on the work in TimeGAN and Federated GAN (FeGAN). Using an embedded learning space, TimeGAN encourages the network to mimic the structure of the training data. FeGAN allows the results of TimeGAN to be combined at a central server, which has benefits for both throughput, and potential to improve data privacy. This also introduces the possibility of using cross domain data. The challenge with creating applying federated learning to TimeGAN, and timeseries data in general is whether the learned temporal dynamics can be combined. This is accomplished by the combination of the weighting and sampling scheme used. This paper demonstrates, by qualitative and quantitative analysis, the ability novel framework proposed, to produce equivalent quality synthetic timeseries data compared to the original TimeGAN, without sharing local data between nodes in the network. This is based on the predictive and discriminative scores described, as well as PCA and t-SNE analysis. Additionally, there is an approximate eleven percent increase in Floating Point Operations per second when using one machine, and up to a thirty percent increase when using multiple.
Open Access Databases and Search Engines for Life Science: An Overview

The Life Sciences is an interdisciplinary branch of Science. With growing amounts of Life Science data available and coming in from a variety of input points and burgeoning over time, figuring out approaches to best manage, establish, and control data so that it can be evaluated to extract significant and advantageous information is a challenge. In this paper, we describe the major open access databases and search engines useful in Life Science setting for finding and retrieving articles in academic journals, archives or other congregations of scientific and other articles.
On the resource consumption of Software quantum computing simulators

Recently, several real quantum devices have become available through the cloud. Nevertheless, they are expected to be very limited, in the near term, in the number and quality of the fundamental storage element, the qubit. Therefore, software quantum simulators are the only widely available tools to design and test quantum algorithms. However, the representation of quantum computing components in classical computers consumes a big amount of resources. This work describes how to model the main elements of quantum computing in a classical computer and depicts resource consumption using two popular quantum simulators. In the end, we discuss different approaches to overcome this problem.
Emerging trends in university of buea library and the realization of global education by medical students

This study made use of medical students in the Faculty of Health Sciences to investigate the emerging trends in University of Buea Library (UBL) towards the realization of global education. The population consisted of 1049 students in the Faculty of Health Sciences (FHS) University of Buea, South West Region (SWR) of Cameroon. Proportionate stratified and simple random sampling techniques were respectively adopted in the selection and use of a sample size of 500 medical students which represented 51% of the population. Percentage was used as a statistical tool in analyzing the data. The findings of the study revealed that UBL is very much at the fore front of major emerging trends in librarianship which foster global education through research. However, it was recommended that University Librarian, Vice Chancellor and other stake holders should put hand on deck to ensure adequate utility of available information resources in the library.
The Effect of Using “Gojek” to Improve Learning Outcomes Ratio and Scale for 5 th Grade

This study discusses the use of the Gojek application as a medium learning of mathematics, learning materials of ratio and scale, during learning from home activities by online. Gojek is an application owned by 29.2 million users in Indonesia. This means that the Gojek application is owned by almost all students or their parents. Based on the observations result, during learning from home by online, teacher‘s rarely used learning media that involved students directly. This limitation can be overcome by using Gojek, whose presence is familiar to students. The research method used is quantitative-descriptive. Gojek can be used to improve student learning outcomes. In the research data in the paired sample test which shows the results that Sig 0.013 < 0.05, then H0 is rejected and Ha is accepted, so there is a difference between the pre-test and post-test learning outcomes. It can be concluded that there is an influence of Gojek learning media on learning materials of ratio and scale at grade 5 elementary school students in Kediri.