Reviewerly/exHarmony huggingface dataset:
DISTANCE TECHNOLOGIES IN THE EDUCATIONAL ENVIRONMENT DURING THE PANDEMIC: FEATURES OF PERCEPTION

The relevance and significance of digitalization of the educational process is caused by the need to adapt the education system. The article presents an analysis of the research of the Institute of Social Analysis and Forecasting of the RANEPA on the development of distance education in the conditions of coronavirus infection and the Department of Sociology and Social Technologies of the Central Russian Institute of Management – a branch of the RANEPA on the attitude of students to the use of distance technologies. The issues of digitalization of education during the pandemic, the attitude of teaching staff and students to the process of digitalization of education are considered. The purpose of the work is to identify the advantages and disadvantages of distance learning for the teaching staff and analyze the attitude of students to the use of distance technologies in the educational process.
Fabrication of superconducting quantum circuits on 12-inch wafers using an ArF immersion lithography system

In recent years, the number of qubits in superconducting quantum computers has increased. It is anticipated that future attempts to realize fault-tolerant superconducting quantum computers will require an ability to fabricate large numbers of superconducting qubits uniformly on large-area substrates. Specifically, it is expected that technology will be developed to fabricate a large number of Josephson junctions on a 12-inch substrate in a short period with minimum dimensional variations in the superconducting quantum circuits. In this manuscript, we report on a technology that enables the uniform formation of resist patterns for Josephson junctions in large quantities on 12-inch substrates by replacing electron beam lithography with ArF immersion lithography.
Libraries and Extension: Partnering to Expand Access Through Ebooks

Providing timely information—when and where people need it—has long been a goal of University of Minnesota Extension. This objective coincides with University of Minnesota Libraries' support of open access publishing and the use of Creative Commons to remove content from paywalls. Many libraries at land-grant institutions have developed their own publishing programs to support open scholarship, leveraging the depth of their expertise in research dissemination. This article highlights three examples of Extension ebooks published in partnership with the University of Minnesota Libraries.
Masked Faces: Overcoming Recognition Challenges with Transfer Learning in CNNs

Amidst the coronavirus pandemic, the use of masks has become one of the main ways to prevent and control the spread of this virus. However, masks impacted the performance of several face recognition models, by reducing visible features in images. The objective of this work is to present a model of convolutional neural networks with transfer learning capable of classifying thirty individuals regardless of the use of masks. The model was trained in a dataset with real images of masks and another with the insertion of computationally simulated masks and the accuracy results obtained were greater than 90%. Due to the number of classes and limitations of the dataset used, the result is consistent with the low number of related works to facial recognition with masks and highlights the complexity of the problem. It is believed that the use of a dataset with superior quality and quantity of images would make the use of the model more viable for the real world, but the tests presented are promising.
EFEKTIVITAS PENGGUNAAN MEDIA AUDIO TERHADAP KEMAMPUAN MENYIMAK NOVEL SISWA KELAS XI SMAN 1 SIDRAP

The aim of the study was to determine the effect of using audio media on the listening skills of class XI students of SMAN 1 Sidrap. The population in this study were all 702 students of SMAN 1 Sidrap, out of 189 males and 513 females,While the sample used is a purposive sampling technique, the data collection technique used is a documentation technique and a test technique. The collected data were analyzed using descriptive statistical techniques in the form of a T. test.Based on the results of the data analysis research conducted, it can be concluded that in the paired sample t-test, that is, if the significance value (2-tailed) &lt;0.05, then H0 is rejected and Ha is accepted. Seen in the table below the output results of SPSS 26 a significance value of 0.01 &lt;0.05, it is said that the hypothesis Ha is accepted. So that there is a positive effect of the application of audio media on the listening ability of SMAN 1 Sidrap students.
Hybrid Image Encryption using Non-Adjacent Bits Dynamic Encoding DNA with RSA and Chaotic Systems

Image encryption is a crucial aspect that helps to maintain the images' confidentiality and security in diverse applications. Ongoing research is focused on improving the efficiency and effectiveness of encryption. Image encryption has many practical applications in today's digital world, such as securing confidential images transmitted over networks, protecting sensitive personal information stored in images, and ensuring the privacy of medical images. The suggested work represents a breakthrough in image encryption by proposing a model that leverages the power of DNA, RSA, and chaos. This model has three phases: key generation, confusion, and diffusion. The key generation phase employs a hash function and hyperchaotic technique to generate a strong key. During the confusion phase, the positions of pixels are rearranged, either at the image level or within blocks, using the Duffing chaotic map. Once the scrambling level is determined, each pixel undergoes two successive scrambling steps, with Henon and Arnold's chaotic map to change its location. During the diffusion phase, the encryption model employs a two way approach to ensure maximum security. Firstly, it utilizes dynamic DNA cryptography for non-adjacent bits, followed by robust RSA cryptography. The experimental results indicate that the model possesses a strong security level randomness and can withstand different attacks.
LAD-YOLO: A Lightweight YOLOv5 Network for Surface Defect Detection on Aluminum Profiles

In this paper, we leverage the advantages of YOLOv5 in target detection to propose a highly accurate and lightweight network, called LAD-YOLO, for surface defect detection on aluminum profiles. The LAD-YOLO addresses the issues of computational complexity, low precision, and a large number of model parameters encountered in YOLOv5 when applied to aluminum profiles defect detection. LAD-YOLO reduces the model parameters and computation while also decreasing the model size by utilizing the ShuffleNetV2 module and depthwise separable convolution in the backbone and neck networks, respectively. Meanwhile, a lightweight structure called "Ghost_SPPFCSPC_group", which combines Cross Stage Partial Network Connection Operation, Ghost Convolution, Group Convolution and Spatial Pyramid Pooling-Fast structure, is designed. This structure is incorporated into the backbone along with the Convolutional Block Attention Module (CBAM) to achieve lightweight. Simultaneously, it enhances the model's ability to extract features of weak and small targets and improves its capability to learn information at different scales. The experimental results show that the mean Average Precision (mAP) of LAD-YOLO on aluminum profiles defect datasets reaches 96.9%, model size is 6.64MB, and Giga Floating Point Operations (GFLOPs) is 5.5. Compared with YOLOv5, YOLOV5s-MobileNetv3, and other networks, LAD-YOLO proposed in this paper has higher accuracy, fewer parameters, and lower floating-point computation.
Design activating agency: a study on rural community co-creation in China under non-anthropocentrism

Community co-creation, centered on human values, fosters favorable conditions for stakeholder participation in design collaboration. Sustainable development of local communities, including their culture, relies on the interaction between humans, artificial systems, and nature. Firstly, this article describes the trend of community co-creation in guidance frameworks, activity tools, and collaboration processes, pointing agency as the platform trigger for community co-creation development. Secondly, based on the bioinclusive involvement framework and practices in various countries, this article summarizes 3 co-creation models and their characteristics in rural communities, and the third model shows chances in local culture and multi-species stakeholders. Thirdly, this article analyzes the combination of the third community co-creation model with local design practices in rural communities in China through a case study. It emphasizes the dynamic relationship between humans and non-humans, including the emergence and flow of related elements. By adopting a non-anthropocentric perspective, this study highlights how designers can activate agency by constructing a platform, developing activities, and making practical efforts to create a stage for local participants. From agency to stage, it reveals the potential for community co-creation to promote sustainable development of local culture, particularly in rural communities in China.
Pengaruh Perkembangan Ragam Bahasa terhadap Perkembangan Kognitif Anak di Era 4.0

&#x0D; &#x0D; Responses to the Ragam Bahasa idea over time have included both advantages and disadvantages. Ragam Bahasa programs' rapid expansion in early education facilities raises questions about their potential effects on the children's cognitive and linguistic development. The opposing party claimed that the youngster would talk slowly, however several research produced different findings. This study will look at how children who participate in a Ragam Bahasa program at school are developing cognitively.&#x0D; Keywords: Ragam Bahasa, early childhood, cognitive, development
E-Motioning: Exploring the Effects of Emotional Generative Visuals on Creativity and Connectedness during Videoconferencing

Videoconferencing has become an essential part of business life, and the trend of remote collaboration is set to continue in the future. However, research has shown that the lack of social cues in videoconferencing negatively impacts human social connectedness and hinders the production of creative ideas. Therefore, E-Motioning has been proposed as a system that generates geometrical-based visuals according to users’ real-time emotions, and these visuals are used, as backgrounds for videoconferencing. An experiment was conducted with twenty-four participants to examine the effects of E-Motioning on creativity and connectedness in Microsoft Teams compared to a control condition that uses the real physical environment as background. Quantitative and qualitative data were collected and analyzed. The results revealed that participants obtained a higher level of connectedness under the E-Motioning condition. However, there were no statistically significant differences in creativity between the two experimental groups. These findings have implications for future research and practice.
Needs Analysis for Practical Guide Based Augmented Reality (AR) in an Effort to Support Basic Physics Practicum Activities During the Covid-19 Pandemic

This study aims to conduct a field study on the need to develop Augmented Reality (AR) assisted practicum guidelines. Data collection instruments were in the form of questionnaires and interview guidelines. The subjects in this field study were students who became practicum assistants, physics laboratory staff, and lecturers of basic physics courses. Questionnaire data and interview results were analyzed qualitatively to see the real conditions of the practicum. Based on the results of data analysis, it is known that practicum manuals are still dominant in text, and practicum activities can be directed to practice problem-solving skills. The phenomenon of coastal areas can also be associated with physics practicum material. Based on the results of the practicum assistant's questionnaire, it is known that AR can facilitate physics practicum, so it is necessary to develop an AR-assisted practicum guide that presents audio-visual presentations. Based on the results of the interviews, it is also known that the constraints on practicum activities during this pandemic were that not all practicum courses were available at PheT to carry out virtual practicums, counter-dependence with assistant explanations in carrying out practicum procedures, so strict procedures could not be carried out, so it could be interpreted that a solution was needed an alternative practicum guide that is equipped with a video tutorial about practicum procedures. AR technology can be used to visualize tutorial videos that can be accessed offline.
Real yields and PVSYST simulations: comparative analysis based on four photovoltaic installations at Ibn Tofail University

Abstract Since the PVSYST simulator is the most well-known software among researchers and PV experts, we chose to compare its results to those of the manual method. Thus, the objective of the article was to obtain the degree of similarity between the results of the PVSYST simulation and the manual calculation of the same parameters, based on the study of the photovoltaic systems of the University Ibn Tofail. Those installations are installed in the Faculty of Letters, Science, the Presidency and CFC. The later used in our study, have different parameters. Hence, to collect these parameters and their distinct data we used multiple sources. The datasheets of each components of the PV system contains the parameters that distinguish the devices therefore it was mandatory to look for that information, since it will facilitate our study. The meteorological database PVGIS, was our reference for the temperature and irradiation data. What’s more is the PVSYST software that helps in the simulation of the PV system and thus having a detailed report with massive information. All this collection of data was aiming to help us comparing the results of yields and other parameters by manual calculation versus simulation in PVSYST. Morocco has demonstrated a strong commitment to combat climate change by embracing renewable energy, particularly photovoltaic systems. In this pursuit, universities like Ibn Tofail University (UIT) play a crucial role in addressing climate challenges and developing research solutions for mitigation. UIT actively participates in projects related to environmental protection and sustainable development, contributing to Morocco’s growth and higher education advancement. As part of its efforts, UIT has been involved in implementing sustainable green projects and promoting renewable energy technologies. A specific study at UIT aimed to compare PVSYST simulation results with manual calculations for four PV systems on campus, considering parameters such as orientation, electrical installation, and panel types. The International Energy Agency (IEA) Photovoltaic Systems Program has established standards and a key concept, the yield factor, measuring the net energy production over a facility’s lifetime compared to the energy used for construction, operation, and supply. By evaluating the accuracy and efficiency of PVSYST, researchers sought to advance the use of PV systems and contribute to Morocco’s renewable energy goals. Such research not only aids in the progression of renewable energy technology but also aligns with Morocco’s vision for sustainable development and environmental protection.
Research on Emotion Recognition Model of Takeaway Evaluation Text Based on LSTM-CNN

Takeaway evaluation is a literal evaluation of the products and services experienced by consumers, which not only provides a realistic basis for the improvement of products and services of merchants, but also affects the purchase decision of consumers in the future. In this paper, NLP(natural language processing) is used for preprocessing in tensorflow environment, and an emotion recognition model of takeaway evaluation text based on LSTM-CNN is established. The model is based on Bi-LSTM and attention mechanism, and uses Word2Vec method to vectorize text vocabulary. Then, the LSTM-CNN serial hybrid model is used to extract the context and local semantics of the text, and the effectiveness of the algorithm is verified by an example. The precision reaches 0.937, the recall rate reaches 0.896,F1 and the F1 value reaches 0.906. Through horizontal comparison, it can be found that the model in this paper is outstanding in this task, and the emotion enhancement model also improves the classification accuracy to some extent.
Estimation and Correlation of Surface Water Vapour Density in Benin, Nigeria

The present study investigated the monthly average daily mean temperature, relative humidity, surface pressure, cloud cover, and sunshine hours associated with monthly variations in surface water vapour density (SWVD) for the period extending from 1979 to 2016 for Benin (Latitude 6.320N, Longitude 5.100E). The daily variation of SWVD for the dry season (November to March) and rainy season (April to October) for the year 2014 was examined. Statistical indices of coefficient of determination (R2), mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE), Nash-Sutcliffe equation (NSE), and index of agreement (IA) were used to compare and evaluate the generated two variable SWVD-based models. The findings revealed that the level of SWVD varied throughout the investigation period on each day of the month. The SWVD is higher during the wet season than it is during the dry season, based to the monthly average daily values. The average SWVD was found to be at its highest point in the month of August during the rainy season and its lowest point in the month of December during the dry season (21.1448 gm-3). The greatest amount of SWVD was observed on 23rd May, 2014 with 27.5731gm-3 and the lowest on 26th December, 2014 with 9.6567 gm-3. Pressure and precipitable water vapour are related to each other using a multivariate correlation regression model that was constructed with R2 = 100%, MBE = -0.0204 gm-3, RMSE = 0.0206 gm-3, MPE = 0.1105 %, NSE = 99.9897% and IA = 99.9974% was better appropriate for SWVD estimation with the best fitting and therefore can be used for estimating SWVD in Benin.
Police’s Voice: A Need Analysis of ESP for Police Trainees in Malaysia

The research was to investigate the needs of the former police trainees at a local police training centre (PULAPOL) in Kuala Lumpur for the English course under the Basic Police Training Program (PLAK) in helping their policing tasks on the ground. This was a mixed-method study, employing both needs analysis survey and semi-structured interview as the instruments and were developed based on Hutchinson and Waters (1987)’s Target Needs focusing on Lacks, Wants and Necessities. This study involved 183 former police trainees who used to undergo police training at PULAPOL Kuala Lumpur before; Cadet Police Inspector (CP1) series one (1) and series two (2) 2019 who are now serving as the Inspector Officers (IOs) at various Royal Malaysia Police (RMP) departments nationwide. There were three main findings in this study; firstly, the former police trainees’ Necessities for the English course at PULAPOL were to perform their policing tasks on the ground and to speak with English-speaking clients when solving their problems. Secondly, their Lacks of knowledge in police terminology, grammar and speaking confidence limited their performance in the English course. In terms of Wants, they wished to learn all the English skills equally, but rejected the grammar teaching per say. The outcome of this study will aid the English coordinators at PULAPOL in revising the existing English course and developing a police-based English syllabus or English for Police Purposes (EPP) in accordance with the target needs of the police trainees.
Effect of light injection on the security of practical quantum key distribution

Quantum key distribution (QKD) based on the fundamental laws of quantum physics can allow the distribution of secure keys between distant users. However, imperfections in realistic devices may lead to potential security risks, which must be accurately characterized and considered in practical security analysis. High-speed optical modulators, being one of the core components of practical QKD systems, can be used to prepare the required quantum states. Here, we find that optical modulators based on $\mathrm{Li}\mathrm{Nb}\mathrm{O}$${}_{3}$, including phase modulators and intensity modulators, are vulnerable to photorefractive effects caused by external light injection. By changing the power of external light, eavesdroppers can control the intensities of the prepared states, posing a potential threat to the security of QKD. We have experimentally demonstrated the influence of light injection on $\mathrm{Li}\mathrm{Nb}\mathrm{O}$${}_{3}$-based optical modulators and analyzed the security risks caused by the potential light-injection attack, along with the corresponding countermeasures.
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning

The success of machine learning (ML) systems depends on data availability, volume, quality, and efficient computing resources. A challenge in this context is to reduce computational costs while maintaining adequate accuracy of the models. This paper presents a framework to address this challenge. The idea is to identify “subdomains” within the input space, train local models that produce better predictions for samples from that specific subdomain, instead of training a single global model on the full dataset. We experimentally evaluate our approach on two real-world datasets. Our results indicate that subset modelling (i) improves the predictive performance compared to a single global model and (ii) allows data-efficient training.
Įrodymų specializacija modalumo logikai S5

Loop-check-free decidable specialization of sequent calculus for modal logic S5 is presented. Soundness and completness of this calculus is proved.
Induktyvinis metodas komponentinių programų sintezėje

The automatic programming and automatic software synthesis systems are relevant software engineering research objects. This article presents the prospects of induction as a component-based software synthesis method. The usage of induction in the component-based software synthesis system can solve main synthesis problems: problem of specification, problem of undefined components and problem of non-functional requirements. However using induction synthesis system can lose soundness provided by structural synhesis of programs method. To avoid this any inductive conclusion should be verified.