Reviewerly/exHarmony huggingface dataset:
Monitoring the State of Technological Equipment in the Application to the Educational Process

Monitoring the state of technological equipment corresponds to the iiot concept. Consider the use of &#x201C;Industrial Internet of Things&#x201D; (IIoT) for monitoring the state of laboratory and experimental equipment in the South Ural State University educational process at the Department of Information Communication Technology. This is necessary for two reasons: training students in IIoT technology; remote performance of experimental research and laboratory work. The educational process takes place in accordance with the restrictions due to COVID-19. Monitoring the state of technological equipment is the process of obtaining measurement results on an experimental installation or laboratory bench. Monitoring data is transmitted using the innovative &#x201C;Narrow Band Internet of Things&#x201D; (NB-IoT) technology. The NB-IoT standard provides two-way communication operating in a frequency channel 200 kHz wide. This is sufficient for transmitting measurement information. The NB-IoT network is deployed in the existing GSM cellular network. Advantages of using IIoT in experimental and laboratory research: effective research is not possible with separate sensor operation. IIoT allows you to collect all the experimental information and optimize the study. In NB-IoT, small amounts of data are transmitted without using the IP Protocol (non-IP). Transmitting &#x201C;non-IP&#x201D; traffic (Non-IP Data Delivery, NIDD). NB-IoT modules are compact, energy efficient, self-contained and have a low cost. There is a large selection of NB-IoT devices for data collection and transmission. NB-IoT technology is promising in distance education in radio electronics and information communication technology.
Quantum Processors in Silicon Photonics

Machines that can exploit their hardware to process quantum information can solve certain problems exponentially faster than purely classical (conventional) computers. To harness the potentially groundbreaking applications of quantum computers, these machines will be required to control and process quantum systems at a very large scale, potentially involving millions of high-quality quantum information carriers. While a number of challenges must be overcome before silicon photonics can support quantum computing at scale, the capabilities of mature semiconductor fabrication process to integrate large quantum photonic circuits on single devices, means this is a promising and emerging platform for quantum information processing. In this chapter, we will review recent results in developing key building blocks for chip-scale photonic quantum devices and discuss the progress towards useful large-scale quantum computers in the silicon quantum photonics platform.
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification

Ensemble methods in combination with data preprocessing techniques are one of the most used approaches to dealing with the problem of imbalanced data classification. At the same time, the literature indicates the potential capability of classifier selection/ensemble pruning methods to deal with imbalance without the use of preprocessing, due to the ability to use expert knowledge of the base models in specific regions of the feature space. The aim of this work is to check whether the use of ensemble pruning algorithms may allow for increasing the ensemble’s ability to detect minority class instances at the level comparable to the methods employing oversampling techniques. Two approaches based on the clustering of base models in the diversity space, proposed by the author in previous articles, were evaluated based on the computer experiments conducted on benchmark datasets with a high Imbalance Ratio. The obtained results and the performed statistical analysis confirm the potential of employing classifier selection methods for the classification of data with the skewed class distribution.
The Mediating Role of Employee Engagement Between Quality of Work-Life and Job Performance in Jordanian Commercial Banks _conceptual Paper

Increased job performance is an essential goal for businesses to sustain them market growth. The corporate initiative is geared towards optimizing performance outcomes, taking into account the organizational sense in which performance is generated. This study aims to identify the mediating role of employee engagement between quality of work-life and job performance in Jordanian commercial banks. This paper found that there are indications that the level of engagement is positively associated with job performance in terms of financial benefits, greater client loyalty and better adaptation to the working environment. However, engagement is positively related to finance. Lastly, work engagement has a positive impact on engagement when job demands are high. In addition, work engagement has a positive effect on job performance.
Estimated Statistical Variance of Least Squares Predicted (Extrapolated) Rising Temperatures From Climate Change

From sampled data, polynomial least squares (PLS) creates an average curve in the form of a polynomial of preselected degree. PLS has two distinctly different applications: • Processing deterministic data (non-random; i.e., non-statistical). This is generally described as data-fitting. • Processing statistical (random) data. This is generally described as filtering out random errors (noise).These two applications are embroiled in a great deal of confusion and conflation, the source of which seems to be that the exact same PLS process is used in both data-fitting and noise filtering. However, that does not mean that it yields the same results in both cases. On the contrary; deterministic samples in, deterministic approximation out; statistical samples in, statistical estimation out. They are not the same and are not to be confused and/or conflated.Although NOAA global temperature change data are deterministic rather than statistical, this paper suggests a method of approximating what the variance might be were temperature actually described by a polynomial corrupted with statistical measurement noise (errors). It is a novel and simple technique of applying pseudo-statistics to estimate fictitious noisy polynomials with unique orthogonal polynomial coefficient estimators. This allows a simple estimate of statistical variance of the extrapolated temperature.
Specifics of biomedical parameters estimation of human organism respiratory subsystem

Offered approach to the functional state of organism estimation as holistic system with the complex of interrelated, interactive, mutually affecting functional subsystems of homeostatic type, which may be described as statistically stable biomedical parameters complex. Offered integral index helps to estimate the respiratory subsystem condition using basic organism indexes. Information model of the biomedical parameters transformation was developed. Input quantities uncertainty analysis of the mentioned subsystem information model of the organism gave an opportunity to increase probability of making correct decision concerning the biological objects condition. Methodic of the respiratory subsystem condition estimation was developed and possible conditions range was determined.
Code Switching In EFL Students’ Proposal Seminar Presentation

In academic situations, especially in proposal seminar presentations, code switching is generally used by the presenter and the audience also by all elements in the presentation for the different activities and different purposes. It gives a chance to them to communicate with each other by using their first language and foreign language. This qualitative study aims to explain the types of code-switching and the factors causing the students to use code-switching in their proposal seminar presentations. The subjects were four EFL students who were presenting their research proposal. An observation technique was used to retrieve the main data, which is the students’ proposal seminar presentation. Moreover, this study employed an interview technique to obtain the supporting data about factors affecting the students in utilizing code-switching. The theory about types and factors of code-switching was used in this research to analyze the data. The results find four types of code-switching. Those four types are Intra-sentential switching, inter-sentential switching, establishing continuity switches, and tag switching. The result also shows that several factors affect students using code-switching, such as the real lexical need, quoting somebody else, interjection or inserting sentence fillers or sentence connectors, being emphatetic about something clarifying the speech content for the interlocutor. Based on the finding, all types of code-switching are found in this research, and there are only six out of ten factors found in this research.
Strategies for Improving the Effectiveness of English Teaching Based on Multimedia Application

This paper attempts to explore the effectiveness of designing multimedia interactive English learning resources in online learning environment. This paper selects ET website as a case study. In order to achieve the purpose of the study, the method of interview is used to collect research data. Data analysis shows that the users of ET website affirm the positive role of the effective teaching design of Multimedia Interactive English learning resources in the pure online environment to promote English learning. On the whole, ET website resources meet the design standards. However, due to the limitation of human resources and funds, the final implementation and evaluation stage has not been included in the ET website system. This paper focuses on the effectiveness of Multimedia Interactive English learning resources from the perspective of addle teaching design. Combined with the common interview methods, the research finds that: from the perspective of pure online learning and instructional design, the practicability of resources, the attraction of interface, the interaction between users and resources, especially the timely feedback loop, constitute a part of "the change of teaching essence brought about by network learning". It can also be used as part of the principle of designing meaningful and participatory content in a web-based learning environment.
The Usage of Artificial Intelligence in New Media

The study aims at identifying the usage of Artificial Intelligence in new media in the world. The results indicated that in Artificial intelligence, all the elements of the communication process play their role, whether in the presence of the human element in it, or in the absence of the human element and replaces it by one of the techniques of artificial intelligence and the fourth industrial revolution, the study also revealed that Artificial Intelligence will allow media professionals to analyze data, identify patterns and trends from multiple sources, see things that the naked eye cannot see.
Experience in Smart e-Learning System Application When Switching to Distance Education to the Fullest Extent: The Case of the Moodle LMS

Due to the existing epidemiological situation, the question of smart e-learning organisation has become ever more crucial. In the twinkling of an eye all educational organisations faced many problems, of which nobody has ever thought before. How to organise full-time education on a completely distance basis? What technologies will implement such transfer? And above all: how to preserve quality of learning under such difficult conditions? In this paper authors tell how they themselves answered these questions, and what solutions were implemented at the Moscow Aviation Institute (National Research University).
Capacity Approaching Coding for Low Noise Interactive Quantum Communication Part I: Large Alphabets

We consider the problem of implementing two-party interactive quantum communication over noisy channels, a necessary endeavor if we wish to fully reap quantum advantages for communication. For an arbitrary protocol with n messages, designed for a noiseless qudit channel over a poly (n ) size alphabet, our main result is a simulation method that fails with probability less than 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-Θ(nϵ)</sup> and uses a qudit channel over the same alphabet n(1 + Θ(√{ϵ} )) times, of which an ϵ fraction can be corrupted adversarially. The simulation is thus capacity achieving to leading order, and we conjecture that it is optimal up to a constant factor in the √{ϵ} term. Furthermore, the simulation is in a model that does not require pre-shared resources such as randomness or entanglement between the communicating parties. Our work improves over the best previously known quantum result where the overhead is a non-explicit large constant [Brassard et al., SICOMP'19] for low ϵ.
Metrology for Measuring Custom Periodicities on Diffraction Gratings

We present a new, inexpensive, bench-top method for measuring groove period over large areas with high mapping resolution and high measurement accuracy, dubbed the grating mapper for accurate period (GMAP). The GMAP has the ability to measure large groove period changes and nonparallel grooves, both of which cannot be measured via optical interferometry. In this paper, we detail the calibration and setup of the GMAP, and employ the instrument to measure three distinct gratings. Two of these measured gratings have customized groove patterns that prevent them from being measured via other traditional methods, such as optical interferometry. Our implementation of this tool achieves a spatial resolution of 0.1[Formula: see text]mm[Formula: see text][Formula: see text][Formula: see text]0.1[Formula: see text]mm and a period error of 1.7[Formula: see text]nm for a 3[Formula: see text][Formula: see text]m size groove period.
A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models

In the field of electronic countermeasure, the recognition of radar signals is extremely important. This paper uses GNU Radio and Universal Software Radio Peripherals to generate 10 classes of close-to-real multipulse radar signals, namely, Barker, Chaotic, EQFM, Frank, FSK, LFM, LOFM, OFDM, P1, and P2. In order to obtain the time-frequency image (TFI) of the multipulse radar signal, the signal is Choi–Williams distribution (CWD) transformed. Aiming at the features of the multipulse radar signal TFI, we designed a distinguishing feature fusion extraction module (DFFE) and proposed a new HRF-Net deep learning model based on this module. The model has relatively few parameters and calculations. The experiments were carried out at the signal-to-noise ratio (SNR) of −14 ∼ 4 dB. In the case of −6 dB, the recognition result of HRF-Net reached 99.583% and the recognition result of the network still reached 97.500% under −14 dB. Compared with other methods, HRF-Nets have relatively better generalization and robustness.
File Authentication Ownership Using Blockchain

Blockchain technology is managing ownership contracts. A private network (Ethereum) is used to prevent contracts from getting changed. The goal is to prevent illegal changes in the ownership contracts without any prior confirmation. Public–private key pair is used for any changes on the network. The user will broadcast the public key (which is encrypted via SHA-1) on the network. The end user with the private key will have the same SHA-1 encryption to complete the transaction. This not only provides higher security but also a public ledger which will store all the transactions done on the network. This research paper addresses the security, file authentication and ownership of data entities and user identities in the blockchain technology. The paper describes the above issues based on the research methodology that uses the Secure Hash Algorithm (SHA-1) and is deployed in Digital Signature Algorithm (DSA) and Digital Signature Standard (DSS). The implementation of the same is done using the Web3.js which provides the JavaScript APIs to communicate on the client Geth, and to communicate between Ethereum nodes.
Superresolution-Enabled Video CODEC

Video compression forms a critical bandwidth management tool for streaming video applications. Lossy compression techniques such as MPEG-4 currently predominate but remain distortion limited. In this work, a complementary approach is employed whereby a frame is cast as logical sum of spectra associated with objects and edge-contours bordering objects. In this view, edge-contour (EC) structure is then encoded as an information side-channel and source content downsampled to a degree consistent with accurate source reconstruction. Compression accrues due to the fact total bits required for reconstruction filter instancing remains less than the number of bits required for representation in the original image. The downsampled frame is then compressed in a second-stage CODEC, the result of which is a transmission payload consisting of encoded EC structure plus the compressed downsampled frame. Total compression is then given by the product of EC and downsampled source compressions. It then follows reconstruction filtering at the receiver is super-Nyquist and therefore superresolving. In this work, a new Superresolution-Enabled CODEC (SRE/CODEC) architecture is proposed in which photometric warp superresolution and lossy CODEC comprise successive stages. Benchmark testing on this structure demonstrates multiplicative compression with positive processing gain that should prove useful in design of bandwidth-constrained streaming-video applications.
Do we need formal language when starting a logical system

Some logicians believe that when they start building a logical system they have to define a formal language. In the present paper I show that not only is it not needed but actually is it impossible.
4D Trajectory and Controller Command Generation Based on Schedule Time of Arrival

In order to support the construction of ATC automation system, a four-Dimensional Trajectory (4DT) and controller command generation method based on Schedule Time of Arrival (STA) is proposed. Firstly, four main models of trajectory generation are given: point-mass model, performance model, weather environment and intention model, and the process of trajectory generation is described. Secondly, two methods of generating 4DT according to STA are studied, which are adjusting speed parameters and adjusting command timing. Finally, Guangzhou Baiyun airport is simulated as an example. The result indicates that both optimization methods can meet the requirement of STA, but the command-based method is more consistent with the current control mode, which has a broad application prospect.
Library E-Resources at Your Doorsteps: A Study Based on INFLIBNET’s INFED Access

Globally, during the lockdown due to the Covid pandemic, the library services are a challenging one that changed both the publishers’ and librarians’ outlook, which resulted in the maximum utilization of library electronic resources through remote login. This study aims to analyze the universities in India utilizing e-resources through the INFED facility. It seeks to analyze region-wise, category-wise and state-wise access of INFED by different universities across the country. Data was collected directly from the INFED website. A total of 171 institutions were identified as member institutions in INFED till 1st February 2021.Out of these 171 member institutions, 101 institutions identified as universities were taken for the present study. It is surprising to note that only 10.44% of the Indian universities are using the INFED facility. The lion’s share of universities (89.56%) is not using the INFED technology. INFED accessing universities were also broken down by region and category wise and it is found that universities in the South (38.61 %) and North (32.67%) are more accessing than universities in other regions and regarding the category-wise analysis, state universities (45.54 %) are accessing more. The region-wise university analysis shows that despite the fact that the number of universities is higher in Northern region (336) than Southern region (201), the higher the number of universities joined in INFED is from Southern region (4.03%). Tamil Nadu (14.85 %) and Karnataka (12.87 %) states have more INFED accessing universities and furthermore these states are located in the Southern zone. The top five institutions in the NIRF ranking are the two universities from the Southern and three universities from the Northern region, including three Central, one Deemed and one State university
#LibraryLife: A quantitative analysis of social media usage, content, and engagement at the Vancouver Public Library

This paper explores the contents of the Vancouver Public Library’s Facebook, Instagram, Twitter, and YouTube feeds between September 1st and November 30th, 2020 to better understand how each social media platform is being used to communicate with stakeholders. This quantitative content analysis of each platform’s usage, content, and engagement highlights some important trends libraries should be aware of concerning both the use of multiple social media platforms and the evaluation of their current social media strategies.
Immersive Virtual Reality and Its Use in Developing Empathy in Undergraduate Students

In recent years, Immersive Virtual Reality (IVR) has taken on great relevance in the academic and scientific world, especially in relation to the development of empathy. Virtual Reality (VR) allows taking perspective of others through virtual environments and, through this experience it is plausible to think we can promote empathic capacity. This work is part of an ongoing doctoral research and presents the initial findings about the topic and problem statement through a diagnosis and literature review on VR for the development of empathic responses. Findings include reassertion about the general potential of VR, continuous usage of the Interpersonal Reactivity Index (IRI) to quantify empathy and, the lack of rigorous evidence to prove VR could be the ultimate empathy machine.
PV-Solar Power Generation in Educational Institutions

Abstract The PV solar system on the rooftop of buildings is a good source of renewable electric energy. Iraq has very large number of educational institutions with large non-invested rooftop with shortage of electrical energy supply. The present work aims at construction a simulation for PV-System action installed on rooftop of educational institutions in Baghdad using Green Power Solution (GPS) and PV-Syst programs. Based on the surface area of the schools’ roofs, the GPS program estimated three main PV-Systems which can be carried out, 63kW, 50kW, and 30kW in order to supply the electric power to selected school. Due to allocating few hours for school’s studying time along the year, the suitable PV-System is on-grid connection. The results indicated that the annual system performance ratio is 81.9% and the annual output power of these systems were 111.0 MWh/year, 88 MWh/year and 51.4 MWh/year respectively, 19.3MWh/year of them was consumed for this school and the rest is a feedback for grid. This green generation reduced the amount of emission CO 2 by 73.981 tons, 62.216 tons and 36.3398 tons per year for systems 63kW, 50kW and 30kW respectively. The results also appear that the initial capital cost of each system can be recovered during the first six years of system operation.