Reviewerly/exHarmony huggingface dataset:
The Role of the University In developing awareness of Social responsibility among its employees under the Circumstances of the Corona pandemic – A Field study in the community colleges at King Khalid University –: دور الجامعة في تنمية الوعي بالمسؤولية الاجتماعية لدي منتسبيها في ظل ظروف جائحة الكورونا – دراسة ميدانية لكليات المجتمع بجامعة الملك خالد –

The study aimed to present the actual responsibility of the King Khalid University toward the community as well as its employees during the Corona pandemic. The study applied the descriptive analytical approach to achieve this aim. The main data of this study have been collected using a questionnaire which distributed between samples from King Khalid University ‘s employees. The collected data have been processed using the statistical analysis program (SPSS) which handle the input, processing and testing the study hypotheses. The study sample reached (106) single, and the study seeks to answer the main question, which is: how far the university’s commitment of social responsibility towards its employees during the circumstances of the Corona pandemic? The results assured the presence of a statistically significant relationship to the university’s role in developing the employee’s awareness of the social responsibility towards the community during the circumstances of the Corona pandemic. Accordingly, the study recommended the necessity of establishing an independent department within the university for social responsibility and reporting to the higher management directly. The main mission of this department will be limited to designing and implementing volunteer programs as well as the coordination. Finally, the study confirmed the activation of cooperation between the university and civil society institutions to adopt community initiatives and ensure their sustainability.
Adaptación de las titulaciones universitarias a los nuevos entornos sociales

espanolSon muchas las investigaciones que desde hace anos recalcan la importancia de la incorporacion de las nuevas tecnologias y la tele-ensenanza en las universidades de todo el mundo. Sin embargo, la realidad es que la implantacion de nuevas metodologias que aprovechen las ventajas de la innovacion educativa apoyada en las nuevas herramientas tecnologicas se producia, hasta el momento, de una forma lenta y gradual. La nueva realidad a la que nos hemos visto expuestos debido a la emergencia sanitaria causada por la COVID-19, ha apresurado la incorporacion de estas metodologias de una forma precipitada y se ha puesto de manifiesto la falta de recursos o formacion que sufren las universidades para enfrentarse a los cambios acontecidos. Se hace evidente la necesidad de modernizar las metodologias educativas en la ensenanza superior para aproximarla a las nuevas generaciones y sus necesidades, implantando modelos mas flexibles y que otorguen competencias transversales. En este trabajo se plantea una metodologia basada en la utilizacion de las redes sociales como herramienta de apoyo y de union entre docentes y estudiantes. Ademas, se exploraran diferentes combinaciones de software accesible, que nos permita extraer conclusiones sobre los pasos a seguir para una verdadera implantacion de las redes sociales en el aula. EnglishFor years, many studies have been stressing the importance of incorporating new technologies and tele-education in universities around the world. However, the implementation of new methodologies that take advantage of educational innovation supported by new technological tools has so far been slow and gradual. The new reality to which we have been exposed due to the health emergency caused by COVID-19 has hastened the incorporation of these methodologies hastily and has highlighted the lack of resources or training that universities suffer from to face the changes that have occurred. There is a clear need to modernize educational methodologies in higher education to bring it closer to the new generations and their needs, implementing more flexible models that provide transversal competencies. This work proposes a methodology based on social networks as a tool for support and connection between teachers and students. In addition, we explored different combinations of accessible software that allowing us to conclude the steps to follow for the successful implementation of social networks in the classroom.
AN APPROACH FOR DEVELOPMENT AND APPLICATION OF CPSS- EDUCATIONAL ENVIRONMENTS IN BULGARIAN SCHOOL

Modern realities in the era of Industry 4.0 and the global Covid-19 pandemic place new challenges to education. It is a fact that classical learning, supported by modern information and communication technologies, provides an effective learning process, but the Covid-19 realities require a rapid transition to distance absentee learning. The use of computer-based training systems and cloud platforms has its advantages, but also problems related to the low level of personalization of the learning process and the adaptability of the learning content to the specific characteristics of each student.&#x0D; Cyber-physical and social systems (CPSS) largely solve the problems associated with integrating processes and interactions in the virtual world with the dynamically changing conditions of the physical world in which learning occurs. This gives grounds to draw the attention of specialists to the creation of CPSS educational platforms for secondary school. Following this approach, we created a prototype of ь CPSS educational space called BLISS. The results of the test application of this platform in the school environment give us reason to believe that if we put the learner with his/her peculiarities, goals, and interests at the center of such a system, and present him/her in the virtual space through his / her personal assistant, we could significantly increase the interactivity of the learning process and the adaptability of the offered learning content.
Generative Context Pair Selection for Multi-hop Question Answering

Compositional reasoning tasks such as multi-hop question answering require models to learn how to make latent decisions using only weak supervision from the final answer. Crowdsourced datasets gathered for these tasks, however, often contain only a slice of the underlying task distribution, which can induce unanticipated biases such as shallow word overlap between the question and context. Recent works have shown that discriminative training results in models that exploit these underlying biases to achieve a better held-out performance, without learning the right way to reason. We propose a generative context selection model for multi-hop QA that reasons about how the given question could have been generated given a context pair and not just independent contexts. We show that on HotpotQA, while being comparable to the state-of-the-art answering performance, our proposed generative passage selection model has a better performance (4.9% higher than baseline) on adversarial held-out set which tests robustness of model’s multi-hop reasoning capabilities.
Research Guides: Introduction to eBooks: EBook Central Tutorial

This guide includes links to the Carl B.'s eBook collections and answers to eBook frequently asked questions.
A Brief Introduction to an Ethical Hacking

A moral hacker is a laptop and community professional who attacks a safety gadget on behalf of its owners, searching for vulnerabilities that a malicious hacker ought to exploit. The explosive boom of the Internet has added many excellent things: digital commerce, handy get entry to large shops of reference material, collaborative computing, e-mail, and new avenues for advertising and marketing and statistics distribution, to identify a few. As with most technological advances, there is additionally a darkish side: crook hackers. Governments, companies, and non-public residents around the world are anxious to be a section of this revolution, however, they are afraid that some hacker will smash into their Web server and change their emblem with pornography, examine their e-mail, steal their deposit card range from an online purchasing site, or implant software program that will secretly transmit their organization's secrets and techniques to the open Internet. This paper explores the ethics at the back of moral hacking and whether or not there are issues that lie with this new discipline of work.
Automated Image Super Resolution with the Aid of Activation Function Optimized Deep CNN and Adaptive Wavelet Lifting Approach

Diverse image super-resolution (SR) techniques have been implemented to reconstruct the high-resolution (HR) images from input images through lower spatial resolutions. However, the evaluation of the perceptual quality of SR images remains an important and complex research problem. This paper proposes a new image SR model with the intention of attaining maximum Peak Signal-to-Noise Ratio (PSNR). The conversion of low-resolution (LR) images from the HR images is performed by bicubic interpolation-based downsampling and upsampling. Then, the four sub-bands of LR and HR images are generated by the novel Adaptive Wavelet Lifting approach, in which the filter modes are optimized using the proposed SA-CBO. From this technique, LR wavelet sub-bands (LRSB) for LR images and HR wavelet sub-bands (HRSB) for HR images are formed. With the help of the LRSB and HRSB images, the residual images are formed by the adoption of the optimized Activation function and optimized hidden neurons in a deep convolutional neural network (CNN). The improvement in both the adaptive wavelet lifting approach and deep CNN is made by the self-adaptive-colliding bodies optimization (SA-CBO). Finally, the inverse adaptive wavelet lifting approach is used to produce the final SR image. Experimental results on publicly available SR image quality databases confirm the effectiveness and generalization ability of the proposed method compared with the traditional image quality assessment algorithms.
Central Louisiana Technical Community College Library: Air Conditioning and Refrigeration Technician : Get Help

This LibGuide will provide you with basic research information for the Air Conditioning and Refrigeration Technician program.
PENGARUH CUSTOMER VALUE TERHADAP MINAT MEREFERENSIKAN MELALUI BRAND IMAGE (Studi Empirik pada Mahasiswa Universitas YARSI)

This study aims to determine the effect of customer value on referring interest through brand images. In addition, this study is also to determine whether brand image mediates the effect of customer value and brand image on referring interest. The population of this research is students of various study programs at YARSI University. The research was conducted using a survey method by distributing questionnaires to 120 students from various study programs in YARSI University. The analytical tool used is path analysis. The results showed that customer value has a positive and significant effect on referring interest. The results also show that brand image mediates the influence of customer value on the interest in referring students at YARSI University
MAXIM VIOLATION IN EFL CLASSROOM

The purpose of this study is to reveal the maxim violation in EFL Classroom of English Education of FKIP of Universitas Islam Makassar. In this research, the researcher used qualitative descriptive method to find out maxim violation in EFL classroom. In choosing subject, the researcher applied purposeful sampling.  In purposeful sampling, (Creswell, 2012:206) states that researchers intentionally select individuals and sites to learn or understand the central phenomenon. In this study, sample consists of 20 students. To consider that the data is authentic, it was taken directly in the classroom by recording the conversation and some of those data were taken while the students are talking. After the data has been collected, they are transcribed into written form and then it was reduced, next analyzed by identified the violation of maxim. After that those violations were classified into table form. The study shows that the students of English Education of FKIP of Universitas Islam Makassar violated the maxim quantity, quality, relation and manner.
SPaR.txt, a Cheap Shallow Parsing Approach for Regulatory Texts

Automated Compliance Checking (ACC) systems aim to semantically parse building regulations to a set of rules. However, semantic parsing is known to be hard and requires large amounts of training data. The complexity of creating such training data has led to research that focuses on small sub-tasks, such as shallow parsing or the extraction of a limited subset of rules. This study introduces a shallow parsing task for which training data is relatively cheap to create, with the aim of learning a lexicon for ACC. We annotate a small domain-specific dataset of 200 sentences, SPaR.txt, and train a sequence tagger that achieves 79,93 F1-score on the test set. We then show through manual evaluation that the model identifies most (89,84%) defined terms in a set of building regulation documents, and that both contiguous and discontiguous Multi-Word Expressions (MWE) are discovered with reasonable accuracy (70,3%).
Virtual Reality Program in Cybercrime Investigation: A Pilot Study Examining Search and Seizure of Digital Evidence Practice

Cybercrimes are developing at a rapid pace, forcing investigative methods to follow suit through the implementation of integrated virtual reality (VR) techniques. The current study discusses preliminary findings from the utilization of VR training in cyber investigations, particularly in search and seizure procedures. Using a three-stage training, students were assessed on the use of a VR program through pre- and post-testing and in-depth interviews. These findings indicated that VR training helped students understand and reinforce concepts, procedures, and techniques of cyber investigation. These findings signified how pivotal it is to integrate VR training in academia and forensic departments. Cybercrime investigation training is expected to both quickly and efficiently incorporate technological and industrial advancements accompanying the Fourth Industrial Revolution so that newly discovered and sophisticated cybercrimes can be prevented as soon as possible. Ultimately, the training will aid investigators in creating efficient and effective countermeasures while alleviating burdens on the investigation.
The "Habluminannas and Habluminallah" Concept in the Al Adho Mosque Design

A Mosque in a settlement is a form of service to the local community to support all activities related to religious life, especially for prayer, recitation, and as a place of friendship for Muslims. People in Defend, the Country Housing, need a mosque with facilities as places of worship/prayer, socializing, and education, which aims to increase faith and devotion. This condition is very influential on balance in social life between citizens. The method used is participatory qualitative, in field identification, design process, and ends with a presentation. This community service activity aims to provide solutions to Defend the Country Housing people in realizing mosque facilities by prioritizing Habluminannas and Habluminallah. The answer was to design the Al Adho Mosque, starting from analyzing the problem in the location, planning, designing, and structuring the mosque's interior.
Sign Language Dactyl Recognition Based on Machine Learning Algorithms

In the course of our research work, the American, Russian and Turkish sign languages were analyzed. The program of recognition of the Kazakh dactylic sign language with the use of machine learning methods is implemented. A dataset of 5000 images was formed for each gesture, gesture recognition algorithms were applied, such as Random Forest, Support Vector Machine, Extreme Gradient Boosting, while two data types were combined into one database, which caused a change in the architecture of the system as a whole. The quality of the algorithms was also evaluated.The research work was carried out due to the fact that scientific work in the field of developing a system for recognizing the Kazakh language of sign dactyls is currently insufficient for a complete representation of the language. There are specific letters in the Kazakh language, because of the peculiarities of the spelling of the language, problems arise when developing recognition systems for the Kazakh sign language.The results of the work showed that the Support Vector Machine and Extreme Gradient Boosting algorithms are superior in real-time performance, but the Random Forest algorithm has high recognition accuracy. As a result, the accuracy of the classification algorithms was 98.86 % for Random Forest, 98.68 % for Support Vector Machine and 98.54 % for Extreme Gradient Boosting. Also, the evaluation of the quality of the work of classical algorithms has high indicators.The practical significance of this work lies in the fact that scientific research in the field of gesture recognition with the updated alphabet of the Kazakh language has not yet been conducted and the results of this work can be used by other researchers to conduct further research related to the recognition of the Kazakh dactyl sign language, as well as by researchers, engaged in the development of the international sign language.
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings

How do neural networks “perceive” speech sounds from unknown languages? Does the typological similarity between the model’s training language (L1) and an unknown language (L2) have an impact on the model representations of L2 speech signals? To answer these questions, we present a novel experimental design based on representational similarity analysis (RSA) to analyze acoustic word embeddings (AWEs)—vector representations of variable-duration spoken-word segments. First, we train monolingual AWE models on seven Indo-European languages with various degrees of typological similarity. We then employ RSA to quantify the cross-lingual similarity by simulating native and non-native spoken-word processing using AWEs. Our experiments show that typological similarity indeed affects the representational similarity of the models in our study. We further discuss the implications of our work on modeling speech processing and language similarity with neural networks.
Information is not Knowledge

The article of the Swiss philosopher, cultural theorist and public figure Denis the Rougemont (1906-1985) who wrote in French, is devoted to the relevant problems of the society computerization and the transformation of the essence of knowledge under the influence of advanced information technologies. First published in 1981 the article remains topical still now. The ideas of Denis de Rougemont are especially important nowadays when the distant mode of education and work are gradually introduced in our everyday life. The author does not limit himself to just naming the risks related to the results of uncontrolled latest information technologies introduction into the usual human activity processes, but denotes each of them specifically while suggesting the way to minimize likely damage. Besides the author studies the nature of genuine knowledge and difference from the informational ersatz offered by our digital epoch. Analyzing the basic concepts the author logically proves that such human faculties as memory and intellect can’t be attributed to computer, though they’ve already entered our speech as customary in relation to it. This is the first publication of Denis Rougemont’s article in Russian.
User compensation as a data breach recovery action: A methodological replication and investigation of generalizability based on the Home Depot breach

Purpose - In the aftermath of data breaches, many firms offer compensation to affected customers to recover from damaged customer sentiments. To understand the effectiveness of such compensation offerings, Goode et al. (2017) examined the effects of compensation offered by Sony following the PlayStation Network breach in 2011. Although Goode et al. (2017) present key insights on data breach compensation, it is unclear whether their findings generalize beyond the context of subscription-based gaming platforms whose customers are young and experience substantial switching costs. To address this issue, we conducted a methodological replication in a retail context with low switching costs.Design/methodology/approach - In our replication, we examine the effects of compensation offered by Home Depot in the aftermath of its data breach in 2014. Home Depot is the largest home improvement retailer in the US and presents a substantially different context. Data were collected from 901 participants using surveys.Findings - Our results were consistent with the original study. We found that in retail breaches, effective compensation needs to meet customers’ expectations because overcompensation or undercompensation leads to negative outcomes, such as decreased repurchase intention. Originality/value - Our study provides insights into the effectiveness of compensation in the retail context and confirms the findings of Goode et al. (2017).
Weather Information Processing

Science Communications International (SCI), formerly General Science Corporation, has developed several commercial products based upon experience acquired as a NASA Contractor. Among them are METPRO, a meteorological data acquisition and processing system, which has been widely used, RISKPRO, an environmental assessment system, and MAPPRO, a geographic information system. METPRO software is used to collect weather data from satellites, ground-based observation systems and radio weather broadcasts to generate weather maps, enabling potential disaster areas to receive advance warning. GSC's initial work for NASA Goddard Space Flight Center resulted in METPAK, a weather satellite data analysis system. METPAK led to the commercial METPRO system. The company also provides data to other government agencies, U.S. embassies and foreign countries.
Pfeiffer Library: Accessing Pfeiffer Library: Login Options at Pfeiffer Library

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Software Measurement Guidebook

This Software Measurement Guidebook is based on the extensive experience of several organizations that have each developed and applied significant measurement programs over a period of at least 10 years. The lessons derived from those experiences reflect not only successes but also failures. By applying those lessons, an organization can minimize, or at least reduce, the time, effort, and frustration of introducing a software measurement program. The Software Measurement Guidebook is aimed at helping organizations to begin or improve a measurement program. It does not provide guidance for the extensive application of specific measures (such as how to estimate software cost or analyze software complexity) other than by providing examples to clarify points. It does contain advice for establishing and using an effective software measurement program and for understanding some of the key lessons that other organizations have learned. Some of that advice will appear counterintuitive, but it is all based on actual experience. Although all of the information presented in this guidebook is derived from specific experiences of mature measurement programs, the reader must keep in mind that the characteristics of every organization are unique. Some degree of measurement is critical for all software development and maintenance organizations, and most of the key rules captured in this report will be generally applicable. Nevertheless, each organization must strive to understand its own environment so that the measurement program can be tailored to suit its characteristics and needs.
LibGuides: Citing and Writing MLA 8: How do I "follow MLA Style"?

Information on style guides, specifically MLA (8th edition), example citations, and other resources for citing and writing.