Reviewerly/exHarmony huggingface dataset:
Design and development of an Online College Portal for effective information management

College online portals have become increasingly popular in recent years as more and more colleges and universities have shifted to online learning and remote operations.They provide a convenient and user-friendly way for students and faculty to access important information and resources from anywhere, at any time.A college online portal is a web-based platform that provides students, faculty, and staff with access to various services and resources offered by an institute.A digital board is an innovative and dynamic communication solution that leverages digital technology to display information, announcements, and multimedia content in various settings.It replaces traditional static notice boards with vibrant digital displays, providing enhanced engagement and flexibility.A digital notice board offers a modern and dynamic approach to communication, revolutionizing the way information is shared and consumed.It combines technology, design, and interactivity to create visually appealing displays that capture attention, promote engagement, and enhance the overall communication experience.Using Apache server, we are implementing an offline server to build a basic database and divide it into different sections for different data using MySQL.The portal's frontend is implemented using HTML and CSS with JavaScript for client-side validation and the Backend uses PHP, SQL, XML, and Ajax.The portals typically offer a centralized location for students to access information related to their coursework, grades, schedules, and financial aid Some of the common features of a college online portal include Course registration and schedule management.Access to course materials such as syllabi, assignments, and lectures.Online submission of assignments and assessments.Access to grades, transcripts, and academic records.Financial aid and billing information.Campus news and events.Library resources and databases.Career services and job postings.Personal profile management
THEORETICAL AND METHODOLOGICAL CONCEPT OF HISTORY AS A SYSTEM OF "MENTAL DIVISIONS" BY ROBERT VIPPER

The article deals with the methodological scheme introduced by R. Vipper, a well-known historian and historical philosopher.The process of historical cognition, mechanisms and principles of work with historical sources are distinguished in the givenarticle. Topicality of R. Vipper’s work is revealed by providing critical analysis of modern results of historical knowledge.
Conclusions

We have presented above a comprehensive survey of generative methods for social media analysis. Its topic is timely and needed, given the recent interest in social media and their role in communications, community building, fake news etc.
Topic and Sentiment Modelling for Social Media

This chapter presents an overview of topic and sentiment analysis approaches, as applied to social media posts (such as on Facebook or Twitter). We outline certain challenges relating to sentiment analysis as a whole that cause it to be a somewhat challenging problem, as well as challenges specific to social media platforms that make both topic and sentiment analysis more challenging than in the usual cases.
Methods for Text Generation in NLP

Chapter 2 presents an overview of generative language modelling approaches, specifically relating to applications in the space of social media. It seeks to assess the potential dangers of increasingly more “effective” generative methods, as measured by how easy it is to distinguish the text generated from human-written texts. In light of the myriad of potential dangers relating to machine-generated text that is more and more humanlike, an overview of existing detection methods is presented, and the limitations of these detection methods are examined.
Ontologies and Data Models for Cross-platform Social Media Data

The creation of social media platforms generated an immense volume and diversity of content produced and exchanged by users. According to [125], Facebook, Twitter, and Instagram boast over two billion monthly active users, and as such, their ability to directly and indirectly connect the world's population has never been easier or more far reaching.
Application of digital image correlation to compression tests on tuff masonry panels strengthened by textile reinforced mortar

Digital image correlation (DIC) is a contactless full-field optical technique for measuring displacements that can be potentially used in place of more common linear variable differential transformers (LVDTs) to avoid instrumentation damage during destructive tests. However, despite being already adopted in several fields, its potentialities in testing full-scale masonry walls strengthened with textile reinforcing mortar (TRM) have not been fully investigated yet. In this paper, the results obtained by applying a stereo-DIC technique to compression tests of unstrengthened and TRM-strengthened tuff masonry walls (1.0 × 1.2 × 0.25 m3) are reported. Results showed that the presence of helical steel bars used to connect the two TRM layers caused crack localisation to the masonry wall, leading to a reduction of compression strength. Compared with the results obtained with LVDTs, the DIC technique was able to accurately monitor tridimensional displacements and cracking pattern evolution. The potentialities and limits of this technique are finally highlighted.
ANN Models for Shoulder Pain Detection based on Human Facial Expression Covered by Mask

Facial expressions are a method to communicate if someone feels pain. Moreover, coding facial movements to assess pain requires extensive training and is time-consuming for clinical practice. In addition, in Covid 19 pandemic, it was difficult to determine this expression due to the mask on the face. There for, it needs to develop a system that can detect the pain from facial expressions when a person is wearing a mask. There are 41 points used to form 19 geometrical features. It used 20.000 frames of 24 respondents from the dataset as secondary data . From these data, training, and testing were carried out using the ANN (Artificial Neural Network) method with a variation of the number of neurons in the hidden layer, i.e., 5, 10, 15, and 20 neurons. The results obtained from testing these data are the highest accuracy of 86% with the number of 20 hidden layers.
A Study on the Learning Attitudes and Class Satisfaction for Face-to-face and Non-face-to-face Classes

The purpose of this study is to provide implications for future class design and operation by analyzing learning attitudes and class satisfaction for students who experienced it in parallel with face-to-face classes due to COVID-19. To this end, a total of 131 students who have experience in face-to-face and non-face-to-face classes at S University in Chungcheongbuk-do were selected for the study, 86 questions were conducted to survey learning attitudes and class satisfaction of face-to-face and non-face classes, and results were derived using the SPSS 25 statistical program. Studies have shown that students prefer non-face-to-face classes, especially in terms of non-face-to-face instruction, such as review effects, learning materials, learning plans, and continuous attendance. Therefore, in order to internalize non-face-to-face classes and improve the quality of classes in the future, it is necessary to continuously develop the professors' expertise for interaction and lapo formation between instructors and learners, and various support should be provided to improve the leading learning ability of non-face-to-face learners.
An Empirical Study on Reading Behavior of University Students : Focusing on the Socio-Psychological Characteristics of Generation Z

The purpose of this study is to propose a publication marketing strategy by empirically identifying the difference in reading motivation, reading genre, information medium for book purchase, and reading amount by medium according to MBTI type as a socio-psychological characteristic of Generation Z. To this end, university students representing Generation Z were selected as research subjects, an online survey was conducted, and a total of 183 responses were analyzed. Analysis results, reading motivation(pursuit of information and knowledge, pursuit of fun, emotional cultivation, self-realization and self-development, habit, use of leisure time, SNS reading certification, influencer recommendation), reading genre(education books, liberal arts books, practical books, academic books), information media for book purchase (TV, newspaper, book magazine, Internet, YouTube and SNS contents, reading community or publisher homepage, book review, reading campaign and bookstore visit), MBTI in paper book reading volume by media found a difference. The significance of this study is to provide theoretical and practical implications by presenting the role of MBTI in understanding the reading behavior of Generation Z.
A Survey of Double-Qualified Teacher’s Professional Standard Elements in Double High Level Vocational Colleges based on Likert Scale Using the R Language

Building a High-Level Double-Qualified Teachers’ Faculty (DQTF) is the key to support the reform and development of double high level vocational colleges in the new era, and has become the focus of research in the field of higher vocational education. Meanwhile, the determination of professional standard elements is the core. This article firstly adopts the technique to confirm the 34 critical indexes which compose the professional standard, builds the 7 Likert Scale, and carries on the collection of 726 questionnaires. Based on the results obtained from the test, the results will show that the model of the sample is found out by means of R language, which provided a basis for further research on Principal Component Analysis.
An Educational and Training Perspective on Integrating Hybrid Technologies with HPC Systems for Solving Real-World Commercial Problems

Delivering training and education on hybrid technologies (including AI, ML, GPU, Data and Visual Analytics including VR and Quantum Computing) integrated with HPC resources is key to enable individuals and businesses to take full advantage of digital technologies, hence enhancing processes within organisations and providing the enabling skills to thrive in a digital economy.Supercomputing centres focused on solving industry-led problems face the challenge of having a pool of users with little experience in executing simulations on large-scale facilities, as well as limited knowledge of advanced computational techniques and integrated technologies.We aim not only at educating them in using the facilities available, but to raise awareness of methods which have the potential to increase their productivity.In this paper, we provide our perspective on how to efficiently train industry users, and how to engage with them about wider digital technologies and how these, used efficiently together, can benefit their business.
Carrier phase distribution based scan step noise correction for white light interferometry topography measurements

As a type of interference microscopy, white light interferometry (WLI) is well-established measuring technique in advanced manufacturing industry and scientific research for contactless inspection of surface topographies in micro- and nanometer range. In this paper, a scan step noise correction based surface recovery algorithm is proposed for WLI precision measurement, which provides an effective solution to the inevitable scan step noise. The carrier is firstly obtained by removing the envelope in the interference signal, then the carrier phase is extracted. Based on the theoretical linearity of the phase distribution, a corrected relationship is designed in terms of scan position and phase distribution. Afterwards, the surface profiles can be precisely recovered according to the regenerated carrier after phase correction simultaneously. Simulations show that the reconstruction error is less than 5 nm when WLI is disturbed by harmonic error and random noise. In order to test the effectiveness and reliability of the proposed, a step height with nominal value 45.5 ± 1.2 nm is used to calibrate the proposed system and the new algorithm, where within 10 rounds of scanning the mean height of 44.99 nm with the repeatability of 1.39% is achieved. In the experiment, a laser marking sample is measured and the 3D shape of the marking area is successfully recovered. The repeat measurements and the comparison with the commercial profiler are also provided, which exhibits good consistence and further proves the potential of the new method in the perspective of industry applications.
Efficient Saliency Map Detection for Low-Light Images Based on Image Gradient

Recently, deep learning has been widely employed across various domains. The Convolution Neural Network (CNN), a popular deep learning algorithm, has been successfully utilized in object recognition tasks, such as face recognition, vehicle recognition, and license plate recognition. However, conventional methods for object recognition may not be appropriate for low-light image recognition due to information loss in the dark regions and unexpected noise that can impair object quality. Therefore, the development of specialized techniques for low-light image enhancement has become a major research focus for object detection. This paper proposed a gradient-based saliency map detection method with an improved ResNet architecture that outperforms previous works in detecting multiple or large objects. Additionally, the proposed method enhances images with the object as the center and emphasizes foreground-background differences. Compared with previous works, this paper achieves 1.28× improvements in the parameters and 1.32× faster inference speed than the original ResNet architecture.
Strengthening relationships in the «teacher-computer-student» system

In today's digital age, the integration of technology into education is becoming widespread. One of the most important aspects of this integration is the communication between teachers, computers and students. As technology continues to evolve, it is important to explore ways to strengthen this connection and take advantage of its full potential. This article discusses the importance of strengthening the teacher-computer-student system. Today's students live in the world of electronic culture. The role of the teacher in the information culture is changing – he is changing from the role of the main manager to the role of the supervisor. When students work with computers, no strict restrictions and requirements are imposed on them. Therefore, if there are any difficulties in studying the material, the students will postpone the problem or may not return at all. And when working with the teacher, students are given specific tasks and goals, deadlines and ways to achieve them. The teacher instructs the students and teaches them how to behave in society. No modern technology can help an ordinary person to become a great creative person. The purpose of writing this article is to formulate requirements and proposals aimed at strengthening the relationship between these three components. The correct use of computers by students is based on improving the relationship between teachers and students.
Human thermal load in the fog in the Hungarian lowland

Fog is one of the special weather phenomena of the Hungarian lowlands in autumn and winter. It has been studied from many points of view (for example frequency, type, predictability), but not yet from the point of view of human thermal load. The aim of this work is to fill this gap. We observed a total of 132 fog events at Martonv&amp;#225;s&amp;#225;r (Hungary, Central Transdanubian region) in the period 2017-2023. During our observations, we documented the period of its existence, air pressure, air temperature, air humidity and wind speed. Based on the meteorological and human (body mass, body length, sex, age, person walking at a speed of 1.1 m/s) data, we estimated the thermal load of the foggy environment using a clothing thermal resistance (rcl)-operative temperature model. The model is very simple, based on the calculation of the energy balance of the human body covered with clothing. The main results are as follows. In the fogs that cause the greatest lack of heat, the rcl is around 2.5 clo, the operative temperature is around -7 &amp;#8451;.&amp;#160; In fogs with a much smaller heat deficit, the rcl is around 0.5 clo, and the operative temperature is around 15-17 &amp;#8451;. In the vast majority of cases, rcl varies between 1-2 clo. We were able to make sure that the thermal load of the fog is mostly determined by the temperature and radiation conditions. Further observations are needed. For instance, one should observe the smallest thermal deficit, in which fog can still exist.
Assessing aerosol related uncertainties in the NextSENSE2 system

NextSENSE2 operational system provides forecasts of surface solar radiation up to 3h ahead at high temporal (every 15min) and spatial (~5km x5km at subsatellite point) resolution, for a wide area including Europe, North Africa, and Middle East (MENA) region. For areas with rare cloudiness, especially during the dry period of the year, aerosols are the main attenuator of solar energy reaching the earth&amp;#8217;s surface, hence accurate aerosol related optical properties are important for accurately estimating the available solar energy potential. In this study, the accuracy of the aerosol optical properties used as input to the NextSENSE2 system is assessed, under clear sky conditions, using ground-based measurements from 10 stations from the AERONET network for a whole year (2017). The 1-day forecast of aerosol optical depth (AOD) from Copernicus Atmospheric Monitoring Service (CAMS) and the monthly mean climatological values of single scattering albedo (SSA), and Angstrom exponent (AE) are evaluated against the corresponding AERONET measurements, along with the related uncertainties introduced to modelled GHI. The outcomes of this study are useful for understanding the effect of aerosol optical properties on surface solar radiation estimates and hence improving the model input/outputs, especially for areas highly affected by aerosols and with low cloudiness. &amp;#160;&amp;#160; Acknowledgements This research was funded by the EXCELSIOR project (grant agreement No 857510). Kyriakoula Papachristopoulou would like to acknowledge funding for the participation at EMS2023 from the COST Action HARMONIA (International network for harmonization of atmospheric aerosol retrievals from ground based photometers), CA21119. Dimitra Kouklaki would like to acknowledge support by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the &amp;#8220;First Call for H.F.R.I. Research Projects to support Faculty members and Researchers and the procurement of high-cost research equipment grant&amp;#8221; (Atmospheric parameters affecting Spectral solar IRradiance and solar Energy (ASPIRE), project number 300).
The Study of Thinking in The Moscow Methodological Circle

The article analyzes three main topics: ideas about thinking, formed in ancient philosophy and in modern times, studies of thinking in the Moscow Methodological Circle, mainly in the works by G.P. Shchedrovitsky, as well as the author’s views on thinking (a kind of conceptualization). The views on thinking in logic, methodology and phenomenology are considered, the problems of development and the agent of thinking, the logical and methodological determinants of thought are discussed. The author presents the results of the cultural and historical reconstruction of the formation of thinking, showing that three components of thinking were formed in ancient philosophy — discursive activity, including the constitution of ideal objects, norms of thinking (thinking patterns, logical rules and categories), concepts of thinking. He calls this tripartite structure "the genome of thinking." The genome of thinking was established anew in the Middle Ages and in the modern culture, as the requirements for all three of its components has changed. The author characterizes the ideas about thinking outlined in the three programs of the Moscow Methodological Circle (semiotic interpretation of thinking, reducing it to activity, representation as “pure thinking” in the scheme of “thinking activity”). At the same time, he believes that Shchedrovitsky did not succeed in understanding the essence and mechanisms of the development of thinking. In turn, the author, relying on his own research on thinking, argues that the first start of thinking happened with the formation of the thinking genome, and the second start was the inclusion of the thinking genome in the institutions of modernity (science, art, law, religion, esotericism), which significantly affect thinking. The latter, in turn, changes and transforms under the influence of culture, personality, problems and challenges of the time.
Emerging Trends and Impact of Internet of Things in Academic Libraries

The advent of smart new technologies, smart mobile connections and online services has a great impact on all aspects our life and activities. Also this advancement has many impacts on the world around us. Today, libraries and library services have great impact on the world. The aim of the current study is to introduce readers with new technologies applied to Internet of Things (IoT) that can help libraries to improve their services and increase users’ satisfaction. This study also tries to present about the possible areas of implementing the concept of IoT in academic libraries and user satisfaction on the IoT based library services and resources. Online survey from selected Educational Institutions was conducted and Data collected from a survey of a sample of 183 library users to analyse the importance and satisfaction of IoT based services and resources. Possible areas for implementing IoT in libraries - improve access to the library and its resources, collection management, recommendation service, location-based service, appliances management, usage statistics, and information literacy. The IoT technology will notify and fulfils the user-related queries through on internet i.e., self-check-in, self-check-out, overdue reminders, online fine payment, misplaced books on shelves, etc. The study observed that the maximum number of respondents used WhatsApp and Facebook respectively. Meantime, the libraries should concentrate more on interaction through videoconferencing like, Google Meet, Zoom etc. and library tutorial. 73% of the respondents are highly using the Swayam and the second highest is e-Pathshala with 48%. The institutes provide remote based library resources and services through cloud-based access on the basis of IoT i.e. Deep knowledge – remote access, Bookshelf - Mobile App and Ezproxy –Server. Most of the higher educational institutes prefer to subscribe the Deep knowledge portal on the basis of users’ satisfaction. In IoT based modern library services, it is understood that three parameters such as Academic Performance Support and Infrastructure are having significant association with the satisfaction level of 5% and training is having significant association with the satisfaction level of 1% respectively. IoT based library services and resources can be implemented in the all sections of libraries functions and services i.e. collection management, Library Marketing services, Information literacy programs, effective utilization of online learning portals, accessing of library resources, etc. ICT and Information literacy should be compulsorily included as part of the curriculum in order to equip the students and faculties for face the current digital IoT environment efficiently.