Reviewerly/exHarmony huggingface dataset:
A Quantitative Risk Assessment Framework for the Cybersecurity of Networked Medical Devices

Medical devices are increasingly the source of cybersecurity exposure in healthcare organizations. Research and media reports demonstrate that the exploitation of cybersecurity vulnerabilities can have significant adverse impacts ranging from the exposure of sensitive and personally identifiable patient information to compromising the integrity and availability of clinical care. The results can include identity theft and negative health consequences, including loss of life. Assessing the risk posed by medical devices can provide healthcare organizations with information to prioritize mitigation efforts. However, producing accurate risk assessments in environments with both sparse historical data and a lack of validation regarding the accuracy of forecasts is particularly challenging.&#x0D; We present a risk assessment framework for quantifying the risk posed by connected medical devices in trusted healthcare networks. Our framework is built upon prominent existing frameworks and guidance for general risk assessment and cybersecurity risk assessment. We add a method for quantifying risk, which to our knowledge is novel in the context of medical devices on trusted networks. The framework provides a structure for combining publicly available information along with expert elicitation about threats, vulnerabilities, and consequences. The goal is to provide healthcare organizations with actionable information for prioritizing and mitigating risks in medical devices.
Organizational Cybersecurity Post The Pandemic: An Exploration of Remote Working Risks and Mitigation Strategies

The Covid-19 pandemic has forced organisations to embrace the largest remote workforce in history, yet this upheaval also brought an increasing number of cyber vulnerabilities to the fore. Organisations must remain committed to not leaving business processes, personal data, or vital infrastructure at risk, which has proved challenging for most. As remote working establishes itself as the new normal, criminals are seeking to capitalize on the widespread cybersecurity uncertainty, and succeeding. Private organisations and cybersecurity professionals must come together to establish robust solutions for home working cybersecurity. &#x0D; This investigation explores several prevalent cyber risks (private networks, public hotspots, remote desktop protocol, authentication policies, virtual private network configuration and phishing attacks) across three key threat classifications of management, technical and human factors when remote working from the perspective of twenty industry experts. These findings offer key insights to emerging vulnerabilities, while also revealing defined strategies for organisations to help mitigate these challenges.
NONINVASIVE QUANTIFICATION OF HEPATIC GLYCOGEN BEFORE AND AFTER mRNA THERAPY IN A MOUSE MODEL OF GLYCOGEN STORAGE DISEASE TYPE III

One Library Within One University: Embedding a One Library Approach and Vision: change in libraries is not new, many have written about it and shared their experiences and perspectives. I write from the position of UL and as participant of the benchmarking exercise. From this experience, what I offer in this chapter is a perspective which is rooted in knowledge and understanding of sector good and best practice but shines the spotlight what for me is key to change which sticks—understanding your University and aligning with it as one. This chapter will explore the concept of a “one library approach” in the development of the library’s strategic plan. This resulted in a major change to the organizational structure, with new models of service delivery and a greater expectation on staff to engage and contribute to decision-making. Rather than leading from the top, a “leading from everywhere” way of working encouraged staff to step up and move beyond their role. A case study approach will be taken to demonstrate steps taken to build a strong cultural position across the library team. Through socialization, consultation, shared governance, and proactive engagement, a real “partnership” across the library team is building a culture of high performance, accountability, and excellence, with an agile workforce who are engaged and enjoy the work they do. The chapter will reflect on the post-change implementation review, which alongside the University-wide employee experience survey provided an opportunity to “health check” progress, looking at culture, change transition, and staff professional goals. Results indicate that the library has a strong and a more united team culture, with higher job satisfaction and pride in place of work.
IT STRATEGIC ALIGNMENT IN THE DECENTRALIZED FINANCE (DEFI): CBDC AND DIGITAL CURRENCIES.

Cryptocurrency can be understood as a digital asset transacted among participants in the crypto economy. Every cryptocurrency must have an associated Blockchain. Blockchain is a Distributed Ledger Technology (DLT) which supports cryptocurrencies, this may be considered as the most promising disruptive technology in the industry 4.0 context. Decentralized finance (DeFi) is a Blockchain-based financial infrastructure, the term generally refers to an open, permissionless, and highly interoperable protocol stack built on public smart contract platforms, such as the Ethereum Blockchain. It replicates existing financial services in a more open and transparent way. DeFi does not rely on intermediaries and centralized institutions. Instead, it is based on open protocols and decentralized applications (Dapps). Considering that there are many digital coins, stablecoins and central bank digital currencies (CBDCs), these currencies should interact among each other sometime. For this interaction the Information Technology elements play an important whole as enablers and IT strategic alignment. This paper considers the strategic alignment model proposed by Henderson and Venkatraman (1993) and Luftman (1996). This paper seeks to answer two main questions 1) What are the common IT elements in the DeFi? And 2) How the elements connect to the IT strategic alignment in DeFi? Through a Systematic Literature Review (SLR). Results point out that there are many IT elements already mentioned by literature, however there is a lack in the literature about the connection between IT elements and IT strategic alignment in a Decentralized Finance (DeFi) architectural network. After final considerations, limitations and future research agenda are presented.
Real-Time Object and Face Monitoring Using Surveillance Video

Abstract: Face detection is regarding finding or losing a face during a provided image and, if any, reestablishes the position of the image and therefore the options of every face. Safety and security are 2 of the foremost vital human characteristics. during this article we've got prompt face detection and a visible system that may be able to method pictures terribly quickly whereas achieving the very best level of face detection. Facial recognition is that the method of distinctive an individual employing a personal standing to spot a person's temperament. during this project, we have a tendency to propose a private verification system that uses face recognition associate degreed generates an unauthorized person warning. The alert are within the variety of associate degree unauthorized image that may be displayed within the application. the invention was created with instant video taken from a camera of mobile or portable computer. individuals and things are being recorded during this video victimisation OpenCV, YOLO and FaceNet. once an individual is found, the system identifies the person. His identity are remodeled to audio and introduced to the user. Similarly, regionally found objects are conferred in audio format to the user.
Comparative Analysis of Image on Several Edge Detection Techniques

Edge detection of an image is needed to obtain information related to the size and shape of an image. There are numerous methods for detecting edges, including the Prewitt, Laplace, and Kirsch operators. Each edge detection method has different performance and results. Therefore, this study aims to analyze the performance comparison of the Prewitt, Laplace, and Kirsch operators. The analysis process is carried out using MSE, PSNR and Image Contrast values. Based on the experiments that have been carried out, the best edge detection is produced by the Prewitt operator. The average MSE and PSNR values obtained were 4.63 and 41.79 dB. The Laplace operator is good in the contrast value of 17.77. However, the contrast value only serves as a supporting parameter to clarify the differences in the results of each edge detection operator. So it can be concluded that the Prewitt edge detection method is the best method among the other two methods.
Precision Medicine in Diabetes: state of the art based on recent Consensus

There has long been strong emphasis on personalization in the treatment of diabetes; evidence of individual differences in symptomatology, presentation, behavior, preferences, social status, response to treatment, comorbidity or clinical course have led clinicians to seek greater focus on the individual. However, this approach cannot yet be called Precision Medicine in diabetes. In this article we want to describe the state of the art of Precision Medicine starting from the two Consensus documents published by the Precision Medicine in Diabetes Initiative (PMDI) born in 2018 within American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) with the aim of understanding the state of the art, the possibilities of application and future lines of research in the construction of a precision medicine applied to diabetes. The five pillars of precision medicine applied to diabetes will be examined: precision diagnosis, precision prevention, precision treatment, precision prognostics and precision monitoring. Following will be described the fields of applications and the possible developments and insights, also within italian diabetological reality. KEY WORDS precision medicine; diabetes; personalization; diagnosis; prevention.
A Study on the Emotional Psychology of Chinese Folk Music Artists

Music performance is a temporal art that combines technology and psychology, ability and exertion. Different performers in different fields and different audiences have different psychological activities, such as intuition, imagination, emotion, and reason. Thereare not a few studies on the performance of professional performers, but for the performance place is in the folk courtyard rather than the concert hall, the audience is ordinary people, facing Chinese folk artists in different occasions, such as mourning at the funeral, wedding joy, and birthday filial piety, will their psychological activities be affected by the scene when they perform in a completely different atmosphere?Do you have feelings when playing at different ceremonies?
How Teacher Training on Analytic Philosophy Can Help Schools in Developing a Decommodified Interpretation of Coding Activities

The term “coding” is used to label a wide range of learning activities directly or indirectly related to the design and implementation of algorithmic procedures. These activities are now widespread in all levels of schools and are performed in very different pedagogical frameworks. Our hypothesis is that teachers look at coding from a perspective strongly influenced by their background. In particular, we deem that a logical and philosophical training may foster a de-commodified vision of coding and computational thinking. We have therefore decided to design and experiment a teacher training path that provides participants with some basics of logic and analytical philosophy. We analysed if and how this kind of training influences classroom coding activity. In the first part of this contribution (Sections 1 to 3) we introduce the theoretical framework underlying our hypothesis as well as the training and educational activities proposed to teachers. In the second part (Sections 4 to 7), we present the results of this path by means of a comparative case study focusing on the coding practices implemented in the experiences.
Collaborative Learning and Summarizing Strategy in Teaching Writing during COVID-19 Pandemic

The teaching and learning procedure was stated to be online in response to the COVID-19 pandemic.It is necessary to change from face-to-face instruction to online learning. In accordance with this, teachers must modify their online teaching and learning practices. This study concentrated on the methods teachers used to implement teaching writing throughout the epidemic COVID-19. The study's goals are to outline the teacher's approach to teaching writing and how to use it in widespread online learning. The study adopted a qualitative descriptive method. The participants of this research are two English teachers. The data were collected by using observation, interviews, and documents. Respondents were observed during the teaching learning process and interviewed to support observation data. The data collected were analyzed by using Creswell’s procedures which were organizing, preparing, looking, reading, coding, and interpreting data. The findings of this research concluded that from various strategies of teaching writing, the English teacher only implemented a collaborative learning strategy and summarizing strategy. Following the pandemic situation, the two strategies were done online through the zoom platform. By doing this research, it suggested that teachers adopt and practice more strategies in teaching, not only teaching writing but also teaching all skills in English.
Self-Evaluation Mechanism of Primary and Secondary School Based on Education Quality Improvement

Under the requirement of the reform of national education supervision system and mechanism, school self-assessment is an important part that cannot be ignored, and it is an important means to implement the reform of education evaluation and solve the chronic disease of “five only”. Self-assessment of primary and secondary schools diagnoses the status quo of school quality, corrects the direction of school development, stimulates the in-depth reform of schools, and further promotes the improvement of school education quality to provide value guidance. According to the four elements of assessment subject, content, method and result, the self-assessment mechanism of primary and secondary education quality is established, which includes multi-subject participation, comprehensive quality assessment, comprehensive method application and focusing on quality improvement.
PENINGKATAN KAPASITAS PENGELOLA USAHA PEMBUATAN MERCHANDISE PIN MELALUI PELATIHAN COREL DRAW DI UNIT USAHA YAYASAN FASTABIQUL KHAIRAT

Business development can be done in many ways, one of which is to increase product variations. This method was achieved by the business unit of the Fastabiqul Khairat Foundation by developing a printing business in the form of making marchandise pins. The limited ability and knowledge of business managers becomes an obstacle for the business development plan. Based on these problems, this Community Service activity aims to provide training with pin graphic design material using the corel draw application device. This activity is carried out in several stages, namely the planning, training, and mentoring stages. As an evaluation indicator, pretest and posttest questionnaires were filled out. The results obtained are that the corel draw graphic design training activities have a significant impact on the knowledge and understanding of participants in making machine pin designs
Organization of Calculations and Work with Memory in the Educational Programming Language SYNHRO

The article is devoted to a number of decisions made in the project of the educational programming language Synchro, which is being developed at the Laboratory of Information Systems of the A.P. Ershov IIS SB RAS, designed to familiarize with the basic phenomena of the interaction of processes and control of calculations over shared memory. The focus is on the functional programming paradigm. The language is aimed at schoolchildren of primary and secondary grades, as well as junior students and non-professionals. During training, the experience of operating with toy robots moving on a checkered board is used. The article is of interest to everyone who is interested in the problems of modern computer science, programming and information technology, especially the problems of parallel computing on supercomputers and distributed systems, and in general the use of multiprocessor systems.
Cyberbullying in LGBTQ and Describing the Indian Government’s Role in LGBTQ in Cyberspace

Cyberbullying is one of the major concerns in LGBTQ community. The present research demonstrates the adverse effect of cyberbullying in mental, physical, and emotional health of LGBTQ community. The objective of the research is to measure the effects of Cyberbullying and delineating the government's role for LGBTQ in cyberspace. The qualitative study was carried out on a sample of 10 participants who are either bisexual, gay or transgender. Interviews were done in a telephonic manner and participants were asked a set of validated questions regarding cyberbullying and the Indian government's safeguards and measures for the LGBTQ in the online space. Thematic analysis was conducted to analyse the data and themes were analysed separately for bisexuals, gays and transgenders for understanding any similarities and differences between them. The finding depicts the negative effects of cyberbullying which includes suicidal ideation and lower self -esteem, constant threats and abuses, mistreatment by the authorities, homophobia and bigotry. Recommendation and interventions were discussed with the participants. This paper contributes further on a rather scarce topic of LGBTQ and cyberbullying in India and attempts to bring a new understanding of LGBTQ in India.
Impact of Crude Oil discharge from Oil Refineries near Gwer Road of Erbil City on Soil Physico-chemical Properties and Metal Emancipations

The study was carried out in October 2021 nearby oil refineries which are located near Gwer road and 15 km far away from Erbil city (36° 8'32.31"N, 43°46'32.61"E), to investigate the impact of residual crude oil discharged from surrounding oil refineries on soil Physico-chemical properties and heavy metals contamination. A total of 108 soil samples were collected from (8) different locations, (4) distances, and (3) depths alongside the residual crude oil stream. By using (XRF) technique to determine total heavy metals concentration from collected soil samples. The range of soil pH is between (7.23- 8.7) and an increase in crude oil quantity causes increases in soil pH. (Fe) has the highest concentration among the studied metals ranging between (11925.09 - 22394.37 mgkg-1) followed by (Mn) which ranged between (127.89 - 528.12 mgkg-1) and (Zn) ranged between (41.68 - 107.58 mgkg-1). According to Pearson’s correlation, there is a significant positive correlation between (Fe and Mn) at (p ≤ 0.01, r=.753**) which indicates both metals are derived from the same source. Moreover, there are a significant positive correlation between (Zn and Mn) at (p ≤ 0.05, r=.338*) However, the correlation is less strong compared to (Fe and Mn) this mean (Zn) derived from multiple sources other than crude oil like automobile and truck tire which is one of the major sources for (Zn), since the study area was located next to the busy road.
The use of blockchain in the organisation of annual general meetings: legal and technological challenges

This article analyses the practical application of blockchain technology in the organisation of annual general meetings. The paper presents examples of the spreading application of the technology in foreign companies. In addition, it discusses the legal regulation of the organisation of annual general meetings in Lithuania, which is relevant for the practical application of the technology: authentication of shareholders and voting. Furthermore, the perspectives of blockchain technology in the Lithuanian market and its companies are reviewed.
PERAN SISTEM INFORMASI MANAGEMENT (SIM) DALAM PENGAMBILAN KEPUTUSAN

In keeping with the times today that in the management of human resources ef ectively, every organization is absolutely necessary to create a human resources information system for the development of information systems could affect decision-making in an institution. Expected decision- making is a process towards better so with pegetahuan accruing from the information system will add to the discourse, consideration and finally decided appropriately. For information system consists of components supporting educational institutions to provide information needed by decision-makers when making educational activities
Experimental Evaluation of Performance Improvement by Sparse Operation in Ising Spin Computing

The ability to quickly solve combinatorial optimization problems is essential for improving society and industry. For solving the problems, we present extraction-type majority voting logic (E-MVL) that purposely discards the interaction between the spins by scheduling a parameter, called sparsity. In this paper, the intrinsic computation time of E-MVL is estimated by using step-to-solution (STS) which evaluates the performance independent of implementation. We show that the E-MVL can explore the ground state to the Sherrington-Kirkpatrick model essentially faster than highly optimized simulated annealing (SA). These results indicate that E-MVL is more effective for optimization problems than SA.
Use of Chatbots in the Covid-19: A Systematic Literature Review

Artificial-Intelligence (AI) is becoming more widespread in several areas, from economics and government to consumer-services and even healthcare.In fact, in the latter, there was a big use increase in the past three years, also due to the COVID-19 pandemic.Several solutions have been implemented to tackle the several challenges imposed by this new disease, being one of such solutions chatbots.In this article, we present the results of a Systematic Literature Review (SLR) that identifies the Chatbots applications in COVID-19 disease.In this SLR, we identified 9987 papers from which we selected 30 studies, on which we performed a full-text analysis.From our research, we could conclude that several solutions were implemented, with good acceptance by citizens, despite several limitations, such as limited time to develop the solutions (which narrowed some features, such as AI voice conversation), lack of global implementation and infrastructure limitations.
Multilevel information system for recording the students academic performance

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Part 1. Riga, Latvia : Baltija Publishing, 2022. 392 pages.
LOCATION AND SEGMENTATION OF FACIAL FEATURES COMBINING PSO ALGORITHM AND SKIN COLOR

A new method using PSO algorithm and skin color for the location and segmentation of face and facial features is proposed. In the preprocessing stage, segmented face image is obtained from initial color image. To achieve this goal, PSO algorithm is applied to search for the best face region. Then, based on the edge density of face image, eye region is located with PSO. Then, lips region is located using color component of skin segmentation. Finally, nose region is segmented based on the result of eyes and lips. The Simulation results show that this hybrid method is accurate and effective. &#x0D;