Reviewerly/exHarmony huggingface dataset:
Linear and asymmetric analyses of macro-economic and bank-specific determinants of non-performing loans in West African Monetary Zone (WAMZ)

We used Panel ARDL and Panel NARDL to investigate the macro-economic and bank-specific determinants of Non-Performing Loan (NPL) in the West African Monetary Zone (WAMZ) for the period 2003 to 2018. We found that both bank-specific and macro-economic determinants jointly influence NPLs in varying degrees. There is also empirical evidence that NPL adjusts more non-linearly/asymmetrically to the dynamics of the bank-specific and macro-economic determinants than it does linearly. This discovery will guide in rebalancing the policy direction in loan and credit administration from just a linear direction to a combination of linear and nonlinear perspectives especially in the WAMZ.
Secure Sharing of Personal Health Records in Database

User motion logs can be a lucrative wellspring of measurable information in cloud exams; therefore, it is important to ensure the unwavering quality and respectability of such records. In contrast to the intricacy of a cloud scenario, most current responses for safe logging are designed for traditional frameworks. In this document, we suggest the method of Cloud Log Assuring Soundness and Secrecy (CLASS) as an optional scheme to verify logs in a cloud scenario. In CLASS, logs are encoded using the open key of the individual client for the purpose of decoding the substance. So as to counteract unapproved alteration of the log, we create evidence of past log (PPL) utilizing Rabin's unique mark and Bloom Filter. Such a procedure will greatly decrease the check time. Revelations from our CLASS exams in OpenStack show the usefulness of CLASS in a real environment. CLASS, logs are scrambled using the open key of the individual client with the objective that lonely the product can be unscrambled. So as to anticipate unapproved adjustment of the log, we produce verification of past log (PPL) utilizing Rabin's unique mark and Bloom channel. Such a methodology completely reduces the check time. Discoveries from our OpenStack CLASS exams demonstrate the usefulness of CLASS in real environment.
The ramifications of employing artificial intelligence and advanced technologies in the film industry

AI refers to Artificial intelligence which is a current computing technology that provides a way to interact with machines and propose human interaction systems. AI-based systems evinced to be capable of proposing automated systems by which business operations and activities can be performed automatically without requiring human assistance. The film industry is a leading sector where AI technology is implemented, enabling editors to create effective and significant movies using human-based systems and programs. The aim of this research is to review the implication of AI and amalgamate on the future of the film industry by reviewing the benefits and challenges related to AI-based systems and technologies. A literature review is included to review the findings of recent papers and to gain effective facts and information related to AI in the film industry. It is found that with the help of AI-based facial recognition programs, editors can examine the major characters and sort out major scenes for human editors effectively. Numerous film industry areas where AI technologies can be applied include writing scripts, predicting movie success, selecting actors, promoting movies and many more. In the future, the film industry will be dependent on AI technologies and machine learning programs where editing and promotion-related activities will be done effectively. This research highlights the implications of AI technology on the film industry and deepens our understanding and knowledge for the field of AI technologies.
Elizabeth Holmes' $4.5B fortune, luxury lifestyle 'created powerful motive' for fraud, prosecutors say

Prosecutors working the fraud case against Theranos founder Elizabeth Holmes have fired back at the defense’s claim that her wealth and social standing are not relevant to the crime scheme – arguing that her six-figure salary, billion-dollar stake in the company and jet-setting lifestyle were motivating factors behind the alleged lies.
The Effectiveness of e-learning in Staff Training to Gain Hospitality Organizational Excellence

This paper discovers the state of e-learning within hospitality industry. It introduces relevant topics such as definition, employee attitude and other factors of hospitality e-learning. It critically reviews the growth of e-learning in hospitality companies. Moreover, the author identifies the development of e-learning in hospitality industry by addressing recent cases. A literature review is conducted, and the research involves survey questionnaire and semi-structured interview to collect data from users of Hilton e-learning resources and a statistical analysis of that data. Findings of the study indicate positive perceptions of e-learning among hospitality companies. However, the main finding is the identification of several concerns that can potentially prevent the users to utilize the complete advantage of e-learning. The findings should assist policy makers, instructors and e-learning implementers in designing course materials or improving technical matters that would be more effective for e-learning at hospitality environment.
POSITIVE AND NEGATIVES OF DISTANCE EDUCATION

Due to the pandemic, remote technologies have been introduced into the system, and online teaching has been launched for 7 million students and more than 500,000 students. It has been more than a month and a half since the introduction of quarantine due to coronavirus in our country, and the suspension of many educational institutions. Currently, students are learning the lessons remotely through television and the Internet. With this in mind, we would like to provide detailed information about the effective means of distance learning.
Digital Literacy Skills among Iranian EFL Teachers and Students

Nowadays, digital literacy and the use of digital resources and communication tools in academic contexts have been promoted by the rise of digital civilization in the 21st-century. Thus, this research aimed to study the digital literacy of Iranian EFL teachers and students to find out any significant difference between them. One hundred and fifty Iranian EFL teachers, and 175 Iranian EFL students were invited to participate in this study. A 181-item standardized measure developed and validated by Khlaisang and Koraneekij (2019) was used to assess individuals’ three crucial 21st-century digital skills namely Information Literacy (IL), Media Literacy (ML), and Information Communication Technology Literacy (ICTL). To find that whether this difference is significant or not, a t-test was run. The results highlight that Iranian EFL teachers' scores were higher than students in all the three constructs of IL, ML, and ICTL, and ICTL had the highest mean score among all. The data regarding teachers’ and students’ digital literacy can be a reference for educational planners and decision-makers to identify digital skills which should be considered more seriously at the university level especially in these Coronavirus days.
Consequences of Ethical Leadership with the Mediating Role of Self-Efficacy and Workplace Climate

Ethical leadership is an important determinant of job performance and organizational outcomes. Earlier studies have examined the direct effect of ethical leadership on the organizational outcome and job performance without incorporating mediating variables. Moreover, past studies have only incorporated one or two mediating variables. We have developed a new model based on social learning theory that contains six direct relationships and three indirect relationships because of this gap. The study specifically examines the effect of ethical leadership on job performance, self-efficacy, and workplace climate. We also examined the effect of workplace climate on job performance and safety compliance. Also, we investigated the mediating effect of self-efficacy and workplace climate on job performance and safety compliance while focussing on SMEs in Karachi. SMEs are generally less structured than large firms and vulnerable to unethical leadership practices. Based on quota sampling, we have collected a sample of 500. The Smart PLS software was used for estimating the measurement and structural models. Ethical leadership promotes job performance, self-efficacy, and work climate. Self-efficacy and work climate are significant precursors of job performance. Work climate promotes safety compliance. Self-efficacy and work climate have mediating effects on job performance. And work climate affect safety compliance.
Pelatihan online internet sehat sebagai media pembelajaran bagi siswa-siswi SMK Nurul Huda Pemulutan Barat

Internet or interconnection in the digital era is closely related to everyday life from children to adults as an assistive medium in carrying out and connecting various human activities effectively, accurately, and efficiently. The internet is also a communication network that connects one electronic media with other electronic media quickly and precisely. Moreover, at this time, we are currently hit by the COVID 19 pandemic. Online learning is a regulation issued by the Government as a preventive measure against COVID 19, and the quality of online learning media can influence its effectiveness. This community service aims to educate 20's students of SMK Nurul Huda Pemulutan Barat about the healthy internet as a learning medium in their daily lives. The result has shown that the students know about Healthy Internet
A Functional View of Hybrid-Cloud Environment: An Approach towards Use Cases and Best Practices

Hybrid-Cloud Environment is a promising area of research, considering the greater flexibility and agility that it provides to businesses for moving their workloads and applications onto the cloud environment, as business requirements and budgets fluctuate. Governments, nonprofits, educational institutions, Product and Service Oriented Companies are all leveraging a hybrid-cloud deployment model to modernize their Information Technology (IT) platform, improve service availability, expand IT capacity, build highly reliable, resilient fault tolerant applications, systems and infrastructure on cloud and innovate faster. This paper discusses best practices on how organizations can seamlessly integrate their on-premises infrastructure with cloud native solutions from various cloud vendors for extending and optimizing their hybrid-cloud environments. In response to the complexities involved in the hybrid-cloud deployment, the work in this paper also discusses some of the popular use cases and how organizations can leverage cloud analytics, artificial intelligence tools and scalability of their Hybrid-Cloud Environment whilst also maintaining greater control and operational flexibility over their data for compliance purposes.
Interactive Exploration of Semantic-Spatial-Temporal Patterns of Large-Scale Alarm Police Logs

<p indent=0mm>The alarm log contains time, space, and case description information, which is unstructured spatiotemporal data. Compared with spatio-temporal social media, there are fewer connections between the data items in the alarm log, and complex network relationships cannot be formed between the data items. It is difficult to provide valuable clues in data patterns. Therefore, its analysis depends more on the semantic mining and the exploration of semantic spatiotemporal patterns. In response to this problem, a visual analysis framework is proposed to support large-scale unstructured alarm log spatiotemporal patterns interactive exploration. First, a method based on topic model integration to extract topics from heterogeneous texts is proposed; Second, the framework includes a data cube to quickly respond to user queries; Third, a visual interactive system is designed and implemented to support the visual interactive exploration of the data cube. Finally, we use a real alarm log of a city in China to evaluate the approach. The rich detected patterns and high topic prediction accuracy prove the effectiveness of the approach.
Hasil Cek Similarity: A CORPUS-BASED ANALYSIS OF VERBSIN NEWS SECTION OF THE JAKARTAPOST: HOW FREQUENCY IS RELATED TOTEXT CHARACTERISTICS

Verb is one of the most important word classes in linguistic construction due to its prominent role and dynamic nature. Interestingly, the use of verbs in different linguistic contexts might be various because the context can limit or allow certain verbs to occur more frequently than other verbs. It is compelling to study further the use of verbs in a particular linguistic context. This paper thus aims at examining the use of verbs in news section in The Jakarta Post to figure out the frequency of verbs and how it relates to the characteristics of news text. This study compiled The Jakarta Post corpus comprising news articles belong to the category of hard news from October to December 2018 with total size of 21.682 words. The verb types used in this study refer to those compiled by Scheibmann (combining Halliday’s verb taxonomy and Dixon’s verb types). Based on the analysis, it is obvious that verbal type is the most frequent verb type, followed by material and existential. As for the least frequent ones, there are corporeal and perception/relational types. It is plausible that verbal type occupies the most frequent position because the nature of news text is to deliver information and thus it needs to use verbal verbs quite often. Likewise, material verb is frequent because it states concrete action and existential verb denotes existence; both are vital in constructing news text. Meanwhile, corporeal and perception/relational types are least frequent because corporeal deals with bodily gestures actions and perception/relational shows subjectivity. Both verb types are rather insignificant concepts in news writing. Based on the results of analysis, it is obvious that there is a firm relation between frequency of verbs used in news text and the characteristics of the text: linguistic units that are not in accordance with the function of the text are not really needed and thus infrequently used.Keywordscorpus; news; frequency; text characteristics
Taxonomy of Blockchain Driven Access Control Frameworks, Models and Schemes for IoT

With the rapid advancement in technology landscape, it is hard to predict which technology will dominate. However researchers are of the opinion that technologies such as Robotics, Machine Learning and Blockchain will profoundly influence our lives in the future. Security in most of IoT and network based systems is governed by trusted third parties which results in the widening of attack surface against such systems. Blockchain is quite a new technology and its capability of guaranteeing authenticity, integrity and tamper-resistance plays a vital role in bridging the missing gap by enforcing decentralized trust and robust security. Access control in IoT and other similar networked systems poses unique challenges due to resource constrained nature, enormous size of the IoT devices and dynamic topology. In this paper, we emphasize on recent Blockchain driven access control systems which aim to address access control requirements of IoT in particular and networked systems in general. We also provide the taxonomy of such proposals based on our evaluation.
Balanced Multipath Transport Protocol for Mitigating MPTCP Incast in Data Center Networks

Recent data centers provide dense inter-connectivity between each pair of servers through multiple paths. These data centers offer high aggregate bandwidth and robustness by using multiple paths simultaneously. Multipath TCP (MPTCP) protocol is developed for improving throughput, fairly sharing network link capacity and providing robustness during path failure by utilizing multiple paths over multi-homed data center networks. Running MPTCP protocol for latency-sensitive rack-local short flows with many-to-one communication pattern at the access layer of multi-homed data center networks creates MPTCP incast problem. In this paper, Balanced Multipath TCP (BMPTCP) protocol is proposed to mitigate MPTCP incast problem in multi-homed data center networks. BMPTCP is a window-based congestion control protocol that prevents constant growth of each worker’s subflow congestion window size. BMPTCP computes identical congestion window size for all concurrent subflows by considering bottleneck Top of Rack (ToR) switch buffer size and increasing count of concurrently transmitting workers. This helps BMPTCP to avoid timeout events due to full window loss at ToR switch. Based on current congestion situation at ToR switches, BMPTCP adjust transmission rates of each worker’s subflow so that total amount of data transmitted by all concurrent subflows does not overflow bottleneck ToR switch buffer. Simulation results show that BMPTCP effectively alleviates MPTCP incast. It improves goodput, reduces flow completion time as compared to existing MPTCP and EW-MPTCP protocols.
FAKTOR FAKTOR SOSIAL YANG MEMPENGARUHI TINGKAT LITERASI BACA TULIS SISWA MTS SALAFIYAH KEREK

AbstractLiteracy reading and writing is the most basic literacy. As a student, every student must have good literacy skills. It is not enough just to be able to read and write, but also to be able to understand the meaning of reading and arrange the text into good writing. According to data from the Ministry of Education and Culture, the national average literacy index is still in the low category. These problems then made this research conducted. Based on Emile Durkheim's theory of social solidarity and Daniel Lerner's modernization theory, it is found that there are social factors that affect students' literacy. These social factors include the intensity of parental involvement, the intensity of socialization, the intensity of reinforcement, and the intensity of the use of mass media. This research is then used to prove whether these social factors really affect theliteracy level of the students of Mts Salafiyah Kerek. Using quantitative associative research methods with regression analysis techniques. It was found that simultaneously or simultaneously these social factors affected students' literacy by 36%. If independently between these social factors, the intensity of parental involvement, the intensity of socialization and the intensity of the use of mass media have a positive and significant influence on students' literacy. Meanwhile, the intensity of reinforcement was declared to have no effect on the literacy of the students of Mts Salafiyah Kerek.Key Word : Literacy, Social Factors, Reading, Writing.
"Is anyone there?": Using Discord to facilitate networking and discussion at virtual conferences [slides]

Slides from a lightning round presentation presented at the North Carolina Library Association's Un-Cancelled 2020 on July 17, 2020. As conferences are moved virtual in response to the COVID-19 pandemic, event planners are tasked with finding ways for attendees to engage in discussion and network with other attendees -- two important activities offered by face-to-face events which are often missing from their virtual counterparts. Workshops, panels, lightning rounds, posters and other conference content can be moved online using videoconferencing tools like Zoom and WebEx, which also offer limited chat and Q&A functions, but the essential conversations and discussions that occur during breaks between conference sessions are not easily conducted using these tools. Additionally, although individual institutions have had success using videoconferencing tools to conduct social hours, the awkward pauses and inability to hold multiple simultaneous conversations and move between different group discussions make it difficult to adapt these tools to events with higher attendance. Discord, a virtual communication platform that can be downloaded onto your computer or used in-browser, allows conference participants to network and converse through synchronous and asynchronous text, voice, and video and offers a variety of features that can be used to facilitate discussion, including channels, “coffee break” rooms, moderators, bots, and accessibility features. In this session Jo Klein, GIS and Data Visualization Librarian at the University of North Carolina at Greensboro, will present on the use of Discord for discussion and networking during virtual conferences and lessons learned while setting up a Discord server for the Southeast Data Librarian Symposium to be held in October 2020.
THE USE OF CONTROL THEORY METHODS IN TRAINING NEURAL NETWORKS ON THE EXAMPLE OF TEETH RECOGNITION ON PANORAMIC X-RAY IMAGES

The article investigated a modification of stochastic gradient descent (SGD), based on the previously developed stabilization theory of discrete dynamical system cycles. Relation between stabilization of cycles in discrete dynamical systems and finding extremum points allowed us to apply new control methods to accelerate gradient descent when approaching local minima. Gradient descent is often used in training deep neural networks on a par with other iterative methods. Two gradient SGD and Adam were experimented, and we conducted comparative experiments. All experiments were conducted during solving a practical problem of teeth recognition on 2-D panoramic images. Network training showed that the new method outperforms the SGD in its capabilities and as for parameters chosen it approaches the capabilities of Adam, which is a “state of the art” method. Thus, practical utility of using control theory in the training of deep neural networks and possibility of expanding its applicability in the process of creating new algorithms in this important field are shown.
MLAD: Stata module to perform maximum likelihood using automatic differentiation

mlad maximizes a log-likelihood function where the likelihood function is programmed in Python. This enables the gradients and Hessian matrix to be obtained using automatic differentiation and to take advantage of using multiple CPUs. With large datasets mlad tends to be substantially faster than ml and has the important advantage that you don't have to derive the gradients and the Hessian matrix analytically as these are obtained using automatic differentiation.
Precision Farming – Concepts and Perspectives

The development of technologies in the 20th century led to evolution of precision agriculture concept. Nowadays, precision farming is usually associated with the use of GPS and satellite navigation, GIS, unmanned airplanes and drones, variable rate of application, as well as complex and sophisticated computer systems and software. On the other hand, the main question is related to the profitability and efficiency of these technologies and the opportunities for their adoption. The main purpose of the research is to investigate the most popular concepts of precision farming and to analyze the technical and economic efficiency of different technologies based on literature review. The results indicate that the adoption of precision farming technologies is closely related to the farmer’s perception of and needs for institutional support. The promotion of precision farming under the Common Agricultural Policy is necessary in order to overcome the number of economic and environmental challenges and ensure sustainable development and green growth.