Reviewerly/exHarmony huggingface dataset:
A Smart Contracts and Tokenization Enabled Permissioned Blockchain Framework for the Food Supply Chain

The food supply chain is gaining a lot of attention these days. Due to the relativity of the food supply chain with human health directly, focusing on its problems and issues has become the need of the hour. Several issues like food safety, food contamination, and adulteration, food losses are some of the issues. Among these issues, food losses are critically important as they affect sustainable development as well. Among the several critical causes of this food loss problem, handling losses are most important and are very less studied. Handling losses are important as the causes of these losses are controllable and can be easily mitigated with the help of science and technology. This research is an effort in the defined direction. With the help of technology like blockchain and its capabilities, the authors in this study developed a framework for the food supply chain that if implemented can help in reducing handling losses.
Post-Covid-19 Higher Education Scenarios and Future Strategic Orientations of Education

The article's abstract is not available.
QBoost for regression problems: solving partial differential equations

A hybrid algorithm based on machine learning and quantum ensemble learning is proposed to find an approximate solution to a partial differential equation with good precision and favorable scaling in the required number of qubits. The classical component consists in training several regressors (weak-learners), capable of solving a partial differential equation approximately using machine learning. The quantum component consists in adapting the QBoost algorithm to solve regression problems to build an ensemble of classical learners. We have successfully applied our framework to solve the 1D Burgers' equation with viscosity, showing that the quantum ensemble method really improves the solutions produced by classical weak-learners. We also implemented the algorithm on the D-Wave Systems, confirming the good performance of the quantum solution compared to the simulated annealing and exact solver methods.
The Use Of Ice Breakers In Online English Grammar Classes

In the English language teaching process, every teaching phase is paramount for the achievement of its goals. At the beginning of the classes, the teachers might bring an ice breaker. Based on the previous studies, ice breaker is considered a crucial component in EFL classes. Considering the prominence of ice breakers, the researcher regards the importance of a literature study about ice breakers, especially in grammar class. English grammar is frequently considered a complicated element. Besides, nowadays, the learning process has to be conducted online. This study is mainly aimed to explain the concept of ice breakers, English grammar, and online learning, and the examples of ice breaking possibly used in online grammar classes. The method employed was the literary study conducted through several stages called collecting, reducing and presenting the data and concluding the results. This study suggests several relevant theories to the usage of ice breakers in online grammar classes. Moreover, this study proposes some ice breakers for teaching grammar. The ice breakers are jumbled sentences, correcting mistakes, English songs, storytelling activities, and English humour.
Libraries supporting online learning: practical strategies and best practices

"Libraries supporting online learning: practical strategies and best practices." Technical Services Quarterly, 38(3), pp. 334–335
INCLUSION AS AN INNOVATIVE WAY OF EDUCATIN DEVELOPMENT

The article examines the signs of systemic innovation on the example of the introduction of inclusive practices in modern conditions of Russian education modernization. The purpose of this article is based on the study of scientific-theoretical sources and the analysis and synthesis of innovative practices to substantiate the traits of a systemic innovation in inclusive education. The methodology of the article are legal documents in the field of education, reference and textbooks, nonfiction materials, as well as the work of foreign and domestic scientists, the credibility and scientific reputation which are recognized by the scientific community, and the achieved in prominence high level research inclusive education. Economics and pedagogy are determined on the basis of consideration of the conceptual apparatus from the standpoint of philosophy, as well as the essential and specific characteristics of innovation. The study of the evolution of innovation and the diversity of their types and types make it possible to present the classification system of innovation influence, the strength and scale of impact on the entire education system. There were outlined the allocated spot (local), linear (horizontal plane); structure (spherical, spatial, architectural); the fundamental (base); radical (actually the system); multidimensional (versatile, global) and nadcisnienie some innovation. By deduction the thesis that the introduction of inclusive education in mainstream educational space requires a system of development tailored to the specific socio-cultural conditions and educational policy is substantiated. In the text highlights of the most important directions of innovative activity of educational institutions (the creation of an inclusive culture, develop inclusive policies and the implementation of inclusive practices) is given. In conclusion it is emphasized that solving problems in the field of inclusion makes a significant transformation in all elements of the education system and the determined image optimize, improve and stimulate the educational environment at the regional and sectoral level, as befits a true system innovation. The conclusion is justified that the introduction of inclusive education in mainstream educational practice as a fundamental, structural, radical, multi-dimensional innovation system has sufficient resources to improve the quality and increase the efficiency of education.
Web Marketing and its Applicability in Library and Information Services

Web marketing, digital marketing and e-marketing are the recent concepts to the marketing approaches. It has been evolved back of 15 to 20 years in the fields like, teaching, research, service operations, interactions and communications. Web marketing is gaining importance in library and information centres changing traditional marketing concepts. Now-a day, Libraries are most powerful, dynamic where users easily reach out before the library and access the information without any geographical restrictions. Library professionals have to be fit and capable in providing information/digital information to the users’ for their day to day usefulness. It is also a medium of approach to the better library marketing. So for this, feeling importance to the concept of web marketing and its applicability in disseminating digital information among the potential users of the library, this paper is going to be established.
Birds Eye View Look-Up Table Estimation with Semantic Segmentation

In this work, a study was carried out to estimate a look-up table (LUT) that converts a camera image plane to a birds eye view (BEV) plane using a single camera. The traditional camera pose estimation fields require high costs in researching and manufacturing autonomous vehicles for the future and may require pre-configured infra. This paper proposes an autonomous vehicle driving camera calibration system that is low cost and utilizes low infra. A network that outputs an image in the form of an LUT that converts the image into a BEV by estimating the camera pose under urban road driving conditions using a single camera was studied. We propose a network that predicts human-like poses from a single image. We collected synthetic data using a simulator, made BEV and LUT as ground truth, and utilized the proposed network and ground truth to train pose estimation function. In the progress, it predicts the pose by deciphering the semantic segmentation feature and increases its performance by attaching a layer that handles the overall direction of the network. The network outputs camera angle (roll/pitch/yaw) on the 3D coordinate system so that the user can monitor learning. Since the network’s output is a LUT, there is no need for additional calculation, and real-time performance is improved.
Q-Learning with Fisher Score for Feature Selection of Large-Scale Data Sets

Feature selection is to select some useful features from candidate ones, which is one of the main methods for data dimension reduction. Because general feature selection methods are directly performed based on given data sets at hand, it is time-consuming for them to deal with large-scale data sets. To solve this issue, this paper proposes a novel feature selection method, called Q-learning with Fisher score (QLFS), for large-scale data sets. QLFS adopts the framework of Q-learning of reinforcement learning (RL) and takes Fisher score (FS), a filtering method for feature selection, as the internal reward. Here, FS is modified to calculate the ratio of the between-class and within-class distances for a feature subset instead of the ratio for a single feature. By selecting part of the training samples in each episode, QLFS can perform batch learning and then deal with large-scale data sets in batch. Experimental results on several large-scale UCI data sets show that QLFS not only improves the classification performance but also has an advantage of training speed compared with other methods.
Diagnosa COVID-19 Chest X-Ray Menggunakan Arsitektur Inception Resnet

The availability of medical aids in adequate quantities is very much needed to assist the work of the medical staff in dealing with the very large number of Covid patients. Artificial Intelligence (AI) with the Deep Learning (DL) method, especially the Convolution Neural Network (CNN), is able to diagnose Chest X-ray images generated by the Computer Tomography Scanner (C.T. Scan) against certain diseases (Covid). Inception Resnet Version 2 architecture was used in this study to train a dataset of 4000 images, consisting of 4 classifications namely covid, normal, lung opacity and viral pneumonia with 1,000 images each. The results of the study with 50 epoch training obtained very good values for the accuracy of training and validation of 95.5% and 91.8%, respectively. The test with 4000 image dataset obtained 98% accuracy testing, with the precision of each class being Covid (99%), Lung_Opacity (97%), Normal (99%) and Viral pneumonia (99%).
University Students’ Awareness of, Access to, and use of Artificial Intelligence for Learning in Kwara State

This study determined university students’ awareness of, access to, and use of artificial Intelligence for learning in Kwara State. The study adopted descriptive research of the survey type. This study adopted a descriptive research design of the survey method and employed a three-sectioned questionnaire to elicit information from the respondents. The sample size included a multistage sample of 200 undergraduates across three universities in Kwara state. Descriptive statistics and inferential statistics were employed to answer and test the formulated hypotheses at a 0.05 level of significance. The findings of the study were that majority of the university students are not aware of Artificial intelligence for learning and there was no significant difference between male and female university students’ awareness of the use of artificial intelligence for learning. This study concluded that students' ability to explore digital resources such as AI is dependent on their awareness and access to digital technologies. A lack of these will result in a lack of use and lack of skill to use them.
Virtual Voting System

India's voting system plays an important role in Indian Democracy. The existing system is offline and has certain weaknesses. In recent years, the spread of covid19, inefficient rural voters, people far from their place of birth, paper waste affecting nature, budgets that should be used for development, invisible fraud, waste of human labor, have been recorded and can be avoided by the virtual voting system. The research aims to supply an easy and secure electoral system in India. The method used descriptive qualitative. The results indicate that a virtual voting system is environmentally friendly and is considered a resource-saving way for the election. It is because minimizes errors and increases voter participation through convenient virtual voting. In conclusion, a virtual voting system can develop an Aadhar based advanced Electronic Voting Machine (EVM), which helps in a free and fair way of conducting elections
An Analysis on Polygonal Approximation Techniques for Digital Image Boundary

Polygonal approximation (PA) techniques have been widely applied in the field of pattern recognition, classification, shape analysis, identification, 3D reconstruction, medical imaging, digital cartography, and geographical information system. In this paper, we focus on some of the key techniques used in implementing the PA algorithms. The PA can be broadly divided into three main category, dominant point detection, threshold error method with minimum number of break points and break points approximation by error minimization. Of the above three methods, there has been always a tradeoff between the three classes and optimality, specifically the optimal algorithm works in a computation intensive way with a complexity ranges from O (N2) to O (N3).The heuristic methods approximate the curve in a speedy way, however they lack in the optimality but have linear time complexity. Here a comprehensive review on major PA techniques for digital planar curve approximation is presented.
Structure of Integrated Reporting, Voluntary Disclosure and Firm-Specific Characteristics in Saudi Arabian Companies

The present study aims towards three research purposes. Firstly, it intends to reveal the pattern that associates the elements of the Integrated Reporting (IR) of companies listed on the Saudi Arabian Stock Exchange (Tadawul). Secondly, it verifies the existence of a relationship between IR practices and some firm-specific characteristics. Third, it examines the similarities between the IR practices of these companies. IR communicates how an organization&amp;#39;s strategy, governance, performance, and prospects lead to value creation. The dataset used for the IR elements is retrieved from Tadawul and consists of data regarding integrated reports for 126 companies listed in 2019; while the data for the firm-specific characteristics, as the size of the company, the auditor type and the type of company are extracted from Marketscreener.com and Argaam.com portals. The methodology used consists of the empirical-analytical approach with the use of Optimal Scaling techniques. Main findings consist of a positive association found between the elements of the IR, as well as that the specific characteristics of the firms are not related to the elements of the IR. In our results a dissimilarity is found in the corporate information disclosure practices. These findings reveal a need for a deep investigation of the IR elements and firm characteristics in Saudi Arabian companies. One of the future research direction is a multilinear data for various years such that can reveal a more comprehensive understanding of IR elements and firm characteristics. This study becomes relevant in the context of IR elements and firm characteristics relations, that are not yet studies at their research potential.
An analysis of syntactic translation error on communication students’ abstract in Universitas Bengkulu

This research was purposed to find out the syntactic translation errors from source language (Bahasa Indonesia) to target language (English) in communication students’ abstract of Universitas Bengkulu. The method that used by the researcher in this research was qualitative method along with content analysis approach. The error sources of translation were classified as morphological, lexical and syntactic error based on Sager’s theory. However, this research focused on the abstracts in thesis which made and translated by the communication students who’s graduated on 2019. The researcher found out that there were 52 syntactic errors occurred in 7 abstracts which became the object of this research
Design and implementation of computer aided instruction system based on Web

Modern society is an information society, the computer slowly infiltrates into all aspects of life. Network computer-aided instruction has become the focus of the development of education industry, so this paper puts forward a relatively complete architecture and design scheme of network computer-aided instruction system. The web-based CAI system is a typical management information system based on B / S mode. The design of this scheme has a certain reference value for developing new teaching methods and means through the establishment of network-based CAI platform.
Residue Number System Fade Mitigation Technique with Error Detection and Correction on a Satellite Communication Link

Rain fade is the loss of signal power at the receiver of a telecommunication system mainly due to absorption and scattering caused by rain in the transmission medium, especially at frequencies above 10 GHz.In order to combat the loss of the signal power at the receiver, there is the need to employ rain fade mitigation techniques.Consequently, researchers have been studying how rain affects the signal in different geographical locations as well as proposing some mitigation techniques.Power control is one of the mitigation techniques that have been proposed.But this technique has some associated challenges.Increasing the power will lead to an increase in cost of transmission which will eventually be passed on to the consumer thereby making satellite services expensive.It requires high power in uplink and downlink which increases the burden either on user terminal or satellite payload.Also, because of health concerns there is a limit to the amount of power that can be radiated to the ground and this is governed by international agreements.Another power management drawback in using this technique is that, uplink power control is not efficient in directing the added power to only the ground station experiencing path attenuation, because the additional power is distributed to all locations within the satellite antenna coverage area.In this paper, we address the power control challenges, by leveraging on the inherent properties of Residue Number System (RNS) and Redundant Residue Number System (RRNS) to propose an RNS architecture using the moduli set {2 2n+1 -1, 2 2n -1, 2 2n , 2 4n+1 -1, 2 2n +1} that can mitigate rain fade in the satellite link as well as detect and correct multiple errors.In digital communication systems, the bit energy, e b , is the most important parameter in determining the communications link performance.Numerical analysis shows that the proposed scheme performs better than the traditional method as indicated in the high energy per bit value obtained in the proposed system in comparison with the traditional method, all other things being equal.
Deterministic Two Qubit iSWAP Gate Using a Resonator as Coupler

In this paper, a two Qubit deterministic iSWAP gate is designed and simulated using a resonator as coupler. Fidelity and concurrence of the designed two Qubit iSWAP gate have been calculated. The behavior of this gate is universal. The feasibility of the scheme by observing variation in fidelity and concurrence with different system parameters are assessed and reported.
The Impact of Population Growth on Economic Growth: Evidence from Ethiopia

Population growth and economic growth are highly interrelated since they affect each other. This paper examines the impact of population growth on economic growth in Ethiopia using annual time series data from 1980/81-2016/17. Results from unit root test shows that the series under consideration contains a mixture of stationary variables at level (I (0)) and stationary at first difference (I(1)) implying that the model to be followed must be Autoregressive Distributed Lag model and the diagnostic tests executed on the model shows that the model is correctly specified having normally distributed residual as well there is no evidence of autocorrelation and heteroskedasticity. Result from Autoregressive Distributed Lag model or Bounds testing indicates that there exists a sustainable long-run relationship (co-integration) between population growth and Economic growth. The coefficient of the estimated error correction term is found to be - 0.931244 and highly significant further confirming the existence of long run relationship and implying that it only takes one year and about a month for the short run disequilibrium to adjust towards the long run equilibrium. The empirical model reveals that population growth has significant positive impact on the economic growth both in the short-run and long-run. Moreover, Toda-Yamamoto and Dolado-Lutkepohi as well as Innovative Accounting Techniques approach to Granger causality analysis shows that there exist bidirectional causality between population growth and economic growth which is witnessed to be strong by impulse responses and variance decompositions. The implication of the findings is that population is an asset rather than a burden for Ethiopia, and therefore a carefully planned population expansion along with sustainable economic growth, better employment opportunities and expanded quality education given the equality and justice in social, political and economic spheres would drive the economic growth and development in the country.
Incremental Edge Orientation in Forests

For any forest G = (V, E) it is possible to orient the edges E so that no vertex in V has out-degree greater than 1. This paper considers the incremental edge-orientation problem, in which the edges E arrive over time and the algorithm must maintain a low-out-degree edge orientation at all times. We give an algorithm that maintains a maximum out-degree of 3 while flipping at most O(log log n) edge orientations per edge insertion, with high probability in n. The algorithm requires worst-case time O(log n log log n) per insertion, and takes amortized time O(1). The previous state of the art required up to O(log n / log log n) edge flips per insertion.We then apply our edge-orientation results to the problem of dynamic Cuckoo hashing. The problem of designing simple families ℋ of hash functions that are compatible with Cuckoo hashing has received extensive attention. These families ℋ are known to satisfy static guarantees, but do not come typically with dynamic guarantees for the running time of inserts and deletes. We show how to transform static guarantees (for 1-associativity) into near-state-of-the-art dynamic guarantees (for O(1)-associativity) in a black-box fashion. Rather than relying on the family ℋ to supply randomness, as in past work, we instead rely on randomness within our table-maintenance algorithm.
Pemanfaatan Telegram Bot Untuk Pemenuhan Kebutuhan Informasi Sivitas Akademika UIN Imam Bonjol Padang Selama Pandemi Korona

The corona virus pandemic forced many fields to change work patterns including education. But many are not ready to face these changes. One institution that is not ready is the UIN Imam Bonjol Padang Library UPT where adequate access is not yet available to support academicians working and learning from home. Therefore, it is deemed necessary to develop a media that can cover these deficiencies, namely Telegram bot. Telegram was chosen because of the openness of the API which allows anyone to develop their own bot. This research uses a research development method which consists of five stages, namely requirements analysis, product design, product manufacture and testing. The results showed that the bot telegram was able to help the fulfillment of the information of the academics of UIN Imam Bonjol Padang in working and learning from home, thus the use of social messenger has a great opportunity to help libraries in serving users without having to be bound by time and space.&#x0D; &#x0D;