Reviewerly/exHarmony huggingface dataset:
Comparative Analysis of Digital Reference Services from Academic Library Websites

Digital reference service is one of the interactive methods of communication between librarians and users. It is an internetbased library reference or question-answer service that connects users with skilled subject experts or reference librarians. This research is an attempt to study the present scenario of digital reference services provided by different academic libraries and to check the status of Indian academic libraries. The objectives of the study are to test the availability of digital reference services on different academic library websites and make a comparative study. In this research 50 Indian and 50 international academic libraries are selected and a comparative analysis is made using six digital reference service forms including Chat Reference, E-mail Reference, Web Form, Text Reference, Phone Reference and Frequently Asked Questions. The study reveals that the top global academic libraries evaluate digital reference services with a strong positive attitude, better to say, define it as indispensable at the same time, the Indian top academic libraries stand the opposite.
High-speed secure key distribution based on interference spectrum-shift keying with signal mutual modulation in commonly-driven chaos synchronization

The secure key generation and distribution (SKGD) are unprecedentedly important for a modern secure communication system. This paper proposes what we believe to be a novel scheme of high-speed key distribution based on interference spectrum-shift keying with signal mutual modulation in commonly driven chaos synchronization. In this scheme, delay line interferometers (DLI) are utilized to generate two low-correlation interference spectra from commonly driven synchronous chaos, and then a 2 × 2 optical switch can effectively change the relationship between the two interference spectra in post-processing by shifting the states of the switch. The signals then undergo electro-optic nonlinear transformation through a hardware module, which includes a signal mutually modulating module (SMMM) and a dispersion component. This optimization significantly enhances the entropy source rate of synchronized chaos from both legitimate users. Moreover, thanks to the introduction of DLIs and electro-optic nonlinear transformation module, the key space of the proposed scheme is remarkably improved. In comparison to traditional chaotic drive-response architectures, the scheme effectively suppresses residual correlation. A 6.7 Gbit/s key distribution rate with a bit error rate below 3.8 × 10-3 is experimentally demonstrated over a 40 km single-mode fiber (SMF).
Real-Time Spatial-Temporal Depth Separable CNN for Multi-Functional Crowd Analysis in Videos

Crowd behavior prediction (CBP) and crowd counting (CC) are the essential functions of vision-based crowd analysis (CA), which play a crucial role in controlling crowd disasters. The CA using different models for the CBP and the CC will increase computational overheads and have synchronization issues. The state-of-the-art approaches utilized deep convolutional architectures to exploit spatial-temporal features to accomplish the objective, but such models suffer from computational complexities during convolution operations. Thus, to sort out the issues as mentioned earlier, this paper develops a single deep model which performs two functionalities of CA: CBP and CC. The proposed model uses multilayers of depth-wise separable CNN (DSCNN) to extract fine-grained spatial-temporal features from the scene. The DSCNN can minimize the number of matrix multiplications during convolution operation compared to traditional CNN. Further, the existing datasets are available to accomplish the single functionality of CA. In contrast, the proposed model needs a dual-tasking CA dataset which should provide the ground-truth labels for CBP and CC. Thus, a dual functionality CA dataset is prepared using a benchmark crowd behavior dataset, i.e. MED. Around 41[Formula: see text]000 frames have been manually annotated to obtain ground-truth crowd count values. This paper also demonstrates an experiment on the proposed multi-functional dataset and outperforms the state-of-the-art methods regarding several performance metrics. In addition, the proposed model processes each test frame at 3.40 milliseconds, and thus is easily applicable in real-time.
Tool-free axis calibration method for self-rotating three-dimensional vision systems

The self-rotating three-dimensional (3D) visual scanning system is a prevalent technique for 3D reconstruction. However, the misalignment of the scanner’s rotation axis with the camera’s origin often necessitates specialized calibration tools to establish their relative positions. We propose a rotating axis calibration method for the rotation axis, which eliminates the need for specific tools. A rotating mechanism is used to rotate the 3D camera to different angles and carry out 3D reconstruction of the same object with curved surface characteristics, respectively. The resulting sequence of 3D point clouds is registered to derive the camera’s position transformation matrix corresponding to each rotation angle. Subsequently, we compute the positional relationship between the camera and the rotation axis by solving the equation. To prevent excessively large rotation angles that would cause the object beyond the camera’s field of view, the camera field extension method is proposed, which enhances equation redundancy and leads to improved calibration accuracy. Experiments prove the flexibility and accuracy of the proposed method.
Improvement Measures for Aviation Security Policies and Security Management System Against Potential Cyber Threats In-Flight

In light of providing in-flight wired and wireless networks, and Internet services, there is a current exposure to potential cyber threats. Given the rapidly evolving ICT technology and aviation services, it is crucial to approach aviation security policies in a balanced and systematic manner. The widening gap between advancing technology and outdated aviation security policies makes it difficult to effectively address unpredictable aviation security threats and ensure the safety of aviation services. Therefore, proactive measures such as revising aviation security policies and regulations and establishing a cyber risk management system are urgently needed. This paper aims to propose improvement measures for responding to potential cyber threats and establishing aviation security policies and management systems to ensure safe aviation operations and navigation.
Online teaching emotion analysis based on GRU and nonlinear transformer algorithm

Nonlinear models of neural networks demonstrate the ability to autonomously extract significant attributes from a given target, thus facilitating automatic analysis of classroom emotions. This article introduces an online auxiliary tool for analyzing emotional states in virtual classrooms using the nonlinear vision algorithm Transformer. This research uses multimodal fusion, students’ auditory input, facial expression and text data as the foundational elements of sentiment analysis. In addition, a modal feature extractor has been developed to extract multimodal emotions using convolutional and gated cycle unit (GRU) architectures. In addition, inspired by the Transformer algorithm, a cross-modal Transformer algorithm is proposed to enhance the processing of multimodal information. The experiments demonstrate that the training performance of the proposed model surpasses that of similar methods, with its recall, precision, accuracy, and F1 values achieving 0.8587, 0.8365, 0.8890, and 0.8754, respectively, which is superior accuracy in capturing students’ emotional states, thus having important implications in assessing students’ engagement in educational courses.
ABOUT NON-RANDOM CHANCE IN THE COMEDY OF A.N. OSTROVSKY ‟TRUTH IS GOOD, BUT HAPPINESS IS BETTER”

With external simplicity Ostrovsky’s dramaturgy conceals the possibility of different interpretations. In this case we mean not free readings (which is especially characteristic of many modern directors), but those that are able to discover potential meanings that characterize the author’s vision of the world and man. One of these works is the comedy ‟Truth is good, but happiness is better” (1876). In the center of the article is a happy denouement of this comedy, which is an expression of the foundations of Ostrovsky’s worldview, his trust in life. The basis of the denouement is the case. It is closely correlated with the motif of apples that runs throughout the comedy and the most important comparison in the structure of the play is the one of a marriageable girl, who Polyxena is, with a juicy, ripe apple. The origins of the semantics of the apple image are usually associated with fairy tales, but the parallel with the proverb ‟The apple tree does not bloom all year round” is more precise. Its essence is to confirm natural life principles, as in Ostrovsky. At the same time, the natural principle is inseparably connected with the providential principle. All this allows us to say that the accidental denouement of the comedy is not accidental. It is the result of human aspirations, guided by natural and providential principles.
The importance of homework in the system of mathematical education

The article examines the factors that describe homework policy and characterize their influence on students' achievements in learning mathematics. The data of national research of 2004 is analyzed on the basis of statistic methods. 346 mathematics teachers and 2030 students of the 6th form and 1827 students of the 10th form took part in the research.Most teachers recognize that the main function of homework is to review the knowledge and skills acquired in the classroom. However, the results of the research show that this object is achievable in case students are responsibly trained for homework, and the teacher develops the right students' attitude towards their duties by constant and moderate insistence.
Completeness classes for intuitionistic first-order temporal logic with time gaps

There is not abstract.
Investigation of an attack on the multi-prime RSA cryptosystem based on cubic equations

In this paper we consider a modification of the attack on the classic RSA cryptosystem aimed at factoring the public modulus n, which is a product of three primes. To improve the performance of the modified attack we introduce additional parameters. We present the theoretical upper bound on the search range parameter and define a shifting parameter based on the empirical results. Since these changes make our attack probabilistic, we investigate the dependence of the success on the values of the newly defined parameters.
Relative Evaluation of the Quantitative Aspects of the Websites of the Top Ten Oldest National Institute of Technology (NITs) in India through the Application of Webometric Parameters

A website serves as a gateway to any information about any institution in the present-day digital era. Webometrics is a technique of estimating the effectiveness and efficacy of a website by quantitative analysis of its links and webpages. In this study, the websites of the top ten oldest NITs (as per their year of Foundation as Regional Engineering College) were considered for webometric analysis. It was found that all the ten studied NIT websites have .ac.in as their URL extension. While NIT Kurukshetra has the most linked web pages, NIT Nagpur has the highest number of web pages on its website. After analysis it was revealed that NIT Kurukshetra has the highest Simple Web Impact Factor, Self-Link Web Impact Factor, External Link Web Impact Factor and Revised Web Impact Factor and clinched the top rank out of all the ten studied NIT websites. Though presence of broken links is found to be the maximum number on the NIT Kurukshetra website. From the estimation of the correlation between the Simple Web Impact Factor and the Revised Web Impact Factor, it was found that both variables have a coefficient of correlation of +0.28 in magnitude. This indicates that both the variables have a positive correlation between them. Hence out of all the ten NIT websites the website of NIT Kurukshetra is found to be most effective and efficient.
Revised national mathematics curriculum: improving competence in mathematical communication through teaching methods

The article delves into the topic of mathematical communication development, a key competence outlined in the updated National Mathematics Curriculum. It explores the integration of this competence within the context of the revised curriculum, examining relevant research on mathematical communication and teaching methodologies to foster its growth. Suggestions for pedagogical strategies aimed at enhancing mathematical communication are presented.
Performance Analysis of Various Scheduling Algorithms using CloudSim

Cloud computing technologies have quickly changed how companies and organizations manage their IT resources. The core of this transformation has evolved as cloud datacenters, which offer scalable and affordable options for hosting and administering a variety of applications and services. One information technology typology that has been widely employed to deliver a range of services via the Internet is cloud computing. It guarantees simpler access to premium services and resources. Cloud systems' operation needs to be planned in order to effectively deliver services to individuals. Task scheduling seeks to maximize system throughput and distribute diverse computational resources to software programs. The unpredictability of the scenario grows as the task and has a strong potential for successful resolution. The study begins with an experimental setup to analyse the various performance metrics of task scheduling algorithms. Every experiment has several important stages. To replicate scenarios found in the real world where jobs are divided across many computing resources, the tasks are assigned to available data centers. A number of experiments were carried out to analyse the performance of First Come First Service (FCFS), Shortest Job First (SJF), Round Robin (RR) and Particle Swarm Optimization (PSO) scheduling algorithms using the parameters: makespan, average completion time, average waiting time, and average cost consumption. Thus, this study provides a description of task scheduling and the performance analysis of algorithms to task scheduling that is employed in cloud computing environments.
The School Management and Teaching Performance in Selected University in China: Basis for Enhanced Professional Development Program

The study explored the school management and teaching performance of teachers in a specific educational setting. It involved 239 teachers from a Mechanical Electrical Polytechnic University in China. The result showed a weak negative correlation between teacher assessment of school management and teaching performance. Therefore, the correlation coefficient also showed that the relationship between assessment of school management and teaching performance is not the same, suggesting that as assessment increases, it may decrease. This research provides valuable insights into the education sector's challenges and opportunities.
Determinants of Improved Groundnut Varieties Adoption among Farmers in Northwest Nigeria

Given their proven, financial and environmental benefits, such as increased production and income for farmers, the adoption of improved groundnut varieties among farmers in sub-Saharan Africa remains small. Groundnut is Nigeria's primary export commodity, rendering Nigeria the fifth largest producer in the world, accounting for 50% of Africa's needs and 30% of global needs. To date, however, minimal studies have been undertaken to analyze the degree to which new groundnut varieties have been embraced, in particular in sub-Saharan Africa. The research, therefore, looked at the determinants of the adoption of improved groundnut varieties among farmers in Northwest Nigeria through the technical skills of extension officers, mobile extension networks, and extension methods. Primary survey results were collected from 339 farmers from four northwestern states in Nigeria using purposeful and random sampling techniques. Data is evaluated using descriptive statistics and multiple regression approaches. The findings indicate that the adoption by farmers of improved groundnut varieties is significantly related to the technical skills of extension agents, the usage of radio as an extension tool, and group and individual extension methods. The group extension approach provides the most significant contribution to the adoption of improved groundnut varieties. It is therefore essential to provide regular training of extension agents on suitable extension teaching methods, which will include ample awareness of the characteristics of the different strategies and the ability to familiarize themselves with the characteristics of the respondents, thereby promoting the selection of correct methods for each community of farmers. Programs aimed at growing the ability of extension staff in various capabilities should be put in motion for the efficient transition of technology to farmers.
KETERKAITAN ANTARA SARAPAN DENGAN TINGKAT KONSENTRASI BELAJAR SISWA SMA NEGERI 1 PURI MOJOKERTO

There are many factors that affect a student's ability to concentrate. One of them is breakfast. This study aimed to find out the breakfast menu of students and the impact of breakfast on concentration skills of students at SMAN 1 Puri. This study used crossectional study conducting a survey of 50 randomly selected 12th grade students of SMAN 1 Puri school. Breakfast Habits and Concentration Questionnaire Using an Online Google Form. Survey results show that SMAN 1 Puri students are accustomed to eating breakfast in science, social studies, and language classes. The breakfast menu chosen by most SMAN 1 Puri students is quite delicious: rice and the most popular drink in the morning is water. None of the students who ate rice for breakfast had low levels of concentration, while some students who ate bread for breakfast had low levels of concentration. Among the students who usually drank water for breakfast, none of them had low concentration levels. When eating breakfast, most students have a fairly high ability to concentrate, whereas when not eating breakfast, most students have a low ability to concentrate. Breakfast habits have a great impact on students' ability to concentrate at school. Realizing the importance of breakfast, families should actively seek information about healthy breakfast menus to improve their children's thinking skills. In addition, schools should implement a program to provide one gallon of drinking water to each classroom as part of hydration efforts to increase students' brain energy intake.
AVOIDANCE OF DUPLICACY AND COMPELLING CLOUD SECURITY INDIFFERENT CLOUD SITUATIONS

Data deduplication is necessary for making data smaller and preventing duplication when transferring it. It is often used in cloud computing to increase the amount of data that can be transferred and reduce the amount of memory used. During the deduplication handle, delicate information integrity is safeguarded by means of an encryption approach, sometimes recently being redistributed. The SHA calculation is broadly utilized to store content information. The content is padded to make the security bits. During the deduplication handle, it computes the hash, which consists of hexadecimal, string, and integer information. The term "Hash-based deduplication" technique called hashing used to identify and remove duplicate records. The hash values of content information are important characteristics. Customers who share data with the cloud verify that copies of the data are stored in the cloud, unlike traditional methods of removing duplicate data. Strong limitations on virtualization include restricting the capacity of essential memory and preventing memory hindrance. Memory deduplication finds pages with the same content and combines them into a single information record to move forward performance whereas utilizing less memory. The MPT is used in cloud storage to remove duplicate information and store only one copy for multiple users. To keep cloud information safe, data is mixed up before and during deduplication.
IDIOMS IN THE SCHOOL SYSTEM OF LANGUAGE TEACHING: THE ISSUE OF BACHELORS’ EDUCATION IMPROVEMENT

The applicability of the research subject is defined by the goals of university education for future teachers so that they will be able to implement the renewed federal state educational standard of basic general education in the Russian language teaching practice. The goal of the article is to single out components for methodological development that are optimal for acquiring disciplinary, metadisciplinary and personal results in studying the “Idioms” topic in class. It was discovered that the base course content of Russian language teaching methodology, components of students’ self-studies and methodological projects on new forms and work methods in modern class influence professional competence buildup.
Speed Up of Volumetric Non-Local Transform-Domain Filter Utilising HPC Architecture

This paper presents a parallel implementation of a non-local transform-domain filter (BM4D). The effectiveness of the parallel implementation is demonstrated by denoising image series from computed tomography (CT) and magnetic resonance imaging (MRI). The basic idea of the filter is based on grouping and filtering similar data within the image. Due to the high level of similarity and data redundancy, the filter can provide even better denoising quality than current extensively used approaches based on deep learning (DL). In BM4D, cubes of voxels named patches are the essential image elements for filtering. Using voxels instead of pixels means that the area for searching similar patches is large. Because of this and the application of multi-dimensional transformations, the computation time of the filter is exceptionally long. The original implementation of BM4D is only single-threaded. We provide a parallel version of the filter that supports multi-core and many-core processors and scales on such versatile hardware resources, typical for high-performance computing clusters, even if they are concurrently used for the task. Our algorithm uses hybrid parallelisation that combines open multi-processing (OpenMP) and message passing interface (MPI) technologies and provides up to 283× speedup, which is a 99.65% reduction in processing time compared to the sequential version of the algorithm. In denoising quality, the method performs considerably better than recent DL methods on the data type that these methods have yet to be trained on.