Reviewerly/exHarmony huggingface dataset:
The Effect of Organizational Trust on Employee’s Performance through Organizational Commitment as a Mediating Variable (Applied Study on Mobile Phone Companies in Egypt)

The purpose of paper is to explore the role of the organizational commitment as a mediating variable between organizational trust and employee's performance in these organizations, and also the paper aims to review the concept of Organizational Commitment, concept of organizational trust and employee's performance in service business organizations.In order to achieve the purposes of the study, researcher adopted a descriptive analytical method.The researcher distributed 450 questionnaires, and the return was 404 questionnaires, rating 89.77% of the distributed questionnaires.Analyzing data was conducted using a set of statistical methods including a normality test along with Cronbach's alpha, standard deviation, confirmatory factor analysis, exploratory factor analysis, multiple and simple linear regression using SPSS-V26 and AMOS-V26.The study reached a set of results, the most important of which are: 1) There is a statistically impact at significant level (α ≤ 0.05) of organizational trust on employee's performance through the Organizational Commitment as a mediating variable in Mobile phone companies in Egypt.2) There is a significant correlation between Organizational Commitment and organizational trust, and also there is a significant correlation between organizational trust and employee's performance, and finally there is a significant correlation between organizational commitment and employee's performance.The study reached a set of recommendations, the most important of which are: 1) Organizations need high level of interpersonal trust among the co-workers in organization, for successful feedback and observa-
A replication of ‘DeepBugs: a learning approach to name-based bug detection’

We replicated the main result of DeepBugs, a bug detection algorithm for name-based bugs. The original authors evaluated it in three contexts: swapped-argument bugs, wrong binary operator,and wrong binary operator operands. We followed the algorithm and replicated the results for swapped-argument bugs. Our replication used independent implementations of the major components: training set generation, token vectorization, and neural network data pipeline, model, and loss function. Using the same dataset and the same testing process, we report comparable performance: within 2% of the accuracy reported by Pradel and Sen.
Admissibility of Electronic Evidence under the Indian Evidence Act, 1872

Information Technology or computerization is playing a vital role in various fields like business, communication, services, government sector etc. Also it has left its impression on judicial system &amp; existing laws in India. The IT Act made several reforms in regulations such as the Indian Penal Code of 1860, the Indian Proof Act of 1872, the Reserve Bank of India Act of 1934 etc. The word proof can be described as evidence that helps to explain or refute a truth. The information technology Act 2000 is intended to understand the moral sanctity and structure of electronic records, which may include witness testimonies, notes, etc. Some changes are required to accept the electronic records as facts in the Evidence Act. In the light of section 65-A of the Indian Evidence Act, 1872, Indian courts provide electronic records. Section 65 B of the Indian Evidence Act 1872 specifies the framework for the filing of electronic records as evidence. According to Section 65-B of the Indian Evidence Act, 1871, the report shall be considered any data found in the electronic records of the written, discharged or replicated machine system, and may be permitted to provide evidence in any process which continues without the confirmation of the initial. It is era of speedy and faster communication, the use of internet and information technology is common among people. Nevertheless, the admissibility of the Act is subject to different provisions laid down in section 65-B of that act. So, with this paper I will be determining the extent of implementation of amended laws of Information Technology Act, 2000 with reference to Evidence Act, 1872.
Robust Convolutional Neural Networks in SRAM-based FPGAs: a Case Study in Image Classification

This work discusses the main aspects of vulnerability and degradation of accuracy of an image classification engine implemented into SRAM-based FPGAs under faults. The image classification engine is an all-convolutional neural-network (CNN) trained with a dataset of traffic sign recognition benchmark. The Caffe and Ristretto frameworks were used for CNN training and fine-tuning while the ZynqNet inference engine was adopted as hardware implementation on a Xilinx 28 nm SRAM-based FPGA. The CNN under test was generated using an evolutive approach based on genetic algorithm. The methodologies for qualifying this CNN under faults is presented and both heavy-ions accelerated irradiation and emulated fault injection were performed. To cross validate results from radiation and fault injection, different implementations of the same CNN were tested using reduced arithmetic precision and protection of user data by Hamming codes, in combination with configuration memory healing by the scrubbing mechanism available in Xilinx FPGA. Some of these alternative implementations increased significantly the mission time of the CNN, when compared to the original ZynqNet operating on 32 bits floating point number, and the experiment suggests areas for further improvements on the fault injection methodology in use.
Experimental demonstration of quantum advantage for NP verification

We showcase the power of linear optics through the implementation of a quantum protocol with coherent states. Our work provides evidence for a computational quantum advantage in the interactive setting, drawing near potentially useful applications.
School Libraries Should be Equipped to Operate in the Virtual Space

Since the Covid-19 Pandemic, online activities have increased exponentially. Public and school libraries have expanded their offerings and increased their online presence to ensure that patrons continue to access their services. Our school libraries in the Caribbean have not been given the attention they deserve and so are not equipped to function in the online world. Many kept their doors closed or the space reassigned for other activities. In instances Librarians have been assigned other tasks and information literacy skills placed on hold. In this time of online presence, our school libraries and librarians have a role to play in assisting our students navigate the information highway and to develop their literacy skills. There is also the likelihood that many online services will continue after the pandemic. Our school librarians and libraries in the Caribbean should be prepared to operate in the virtual space.
A Novel Monarch Butterfly Optimization with Attribute based Encryption for Secure Public Cloud Storage

Cloud computing (CC) technology offers proficient exploitation of existing physical resources via virtualization where diverse users share the similar fundamental physical hardware infrastructure.Using the concepts of CC, a set of distributed, scalable, and elastic computing resources are supplied to client through the high-speed Internet.Conventional public key encryption techniques are employed to accomplish data confidentiality, but it could not result in better data sharing.At the same time, attributebased encryption (ABE) is developed as a significant method in achieving security and establish effective data communication in a simultaneous way.The ABE is a familiar cryptographic technique employed to save the user privacy data in CC.But it is not possible to use in cloud storage because of the computational complexity and decryption key leakage issue.Therefore, this paper presents a novel monarch butterfly optimization with attribute based encryption (MBO-ABE) technique for secure public cloud storage.The presented MBO-ABE technique aims to securely store the data in public cloud storage.ABE purposes to strengthen sensitive data secret in public cloud storage.For improving the security performance of the ABE technique, the MBO manner is applied to it which is based on the migration of monarch butterflies.A wide range of simulations are carried out to highlight the enhanced efficiency of presented MBO-ABE technique.The experimental values showcased that the MBO-ABE technique pointed out the maximum performance of the MBO-ABE technique over the recent state of art methods.
Advanced Transfer Learning

We introduce advanced transfer learning with code examples based on several transfer learning architectures. The code examples train learning models with these architectures.
Feature based Opinion Mining using Text Analysis for Chhattisgarh Tourism Industry

Opinion mining is an approach of natural language processing (NLP) that distinguishes the emotional tone of the content or any sentence. This is often a well known approach to decide the assessment about an item, administration or thought. It includes the utilization of information mining, AI and man-made consciousness for conclusion and emotional data of the content. opinion mining is also referred as sentiment analysis. Sentient analysis can be said as study of human emotions .we can arrange those notions into positive and negative from any content . It is a procedure of evaluating the emotional value in content ,to have a comprehension of frames of mind, suppositions and emotions are expressed .The feedback of Tourists are important for Tourism Industries, because it enables to plan marketing strategies based on the reviews .So it is necessary to understand their sentiments about its distinctive features as overall sentiment of a place. Opinion mining is necessary for Chhattisgarh to enhance its tourism industry.
Development of the Ceramic Jewellry Industry for Necklace with Indonesian Batik Motifs

Currently, the national ceramic industry has developed products based on culture and the creative economy.This product is increasingly in demand by local and foreign consumers.Design development is carried out to face competition in the ASEAN Economic Community (AEC) so that there is no decrease in the quality and quantity of Indonesian ceramic export products.The effort that every ceramic industry player must always make is to innovate products by making new breakthroughs.Breakthroughs are no longer carried out conventionally but use advances in design technology based on computer-aided design (CAD) and reverse engineering (RE) which are often referred to as the Computer-Aided Reverse Engineering System (CARESystem).This paper will demonstrate the fabrication and assembly of ceramic pendant jewelry products with Indonesian batik motifs.The printed pattern master was made using manual printing technology at Naruna Ceramic Studio, Salatiga, Central Java.To obtain precision and accurate ceramic pendant products with a maximum shrinkage standard of 15% and a maximum dimension error of 2.00 mm, the researchers provided a free angle to the product master and the mold pattern of 85-87%.The results showed that the shrinkage from clay to ceramic products proved to be less than 15% so that the ceramic products could be processed by printing, burning, and glaze techniques.The average dimensional error is less than 2.00 mm.
LEVELS, ECOLOGICAL AND HUMAN HEALTH RISK ASSESSMENT OF HEAVY METALS IN SOILS FROM SITES NEIGHBORING PETROL STATIONS IN KOGI STATE, NIGERIA

Soil pollution caused by heavy metals has become the subject of many research. This is because heavy metals are highly toxic, ubiquitous and bio-accumulates. This study was carried out to investigate the levels of heavy metal pollution in soils around petrol stations within three major towns in Kogi State, Central Nigeria. Soil samples were collected at depths of 0 - 30 cm between the months of September and October, 2020 and subjected to elemental analysis using Atomic Absorption Spectroscopy (AAS). The total concentrations of the studied metals varied between 0.0102 - 0.0743 mg/kg Cd; 0.009 - 0.0439 mg/kg Cr; 0.0002 - 0.0099 mg/kg Pb; 4.99 - 28.1 mg/kg Cu and 168 – 677 mg/kg Fe. The mean concentrations of the detected metals - Cd, Cr, Pb, Cu and Fe in the study area varied thus: 0.0391, 0.0241, 0.00552, 16.9 and 388 mg/kg respectively. The decreasing trend of heavy metals in all the sample locations was in the order of: Fe &gt; Cu &gt; Cd &gt; Cr &gt; Pb. Ecological/human health risk assessment tools such as Contamination Factor (CF), Degree of Contamination (Cd), Geo-accumulation Index (Igeo), Pollution Load Index (PLI) and Enrichment factor (EF) were employed to ascertain soil health status in the area. Results reveals low level of soil pollution with Cd, Cr, Pb, Fe and moderate pollution with Cu, while metal enrichment factor shows extremely high enrichment of Cd and Cu. Correlation study reveals strong positive relationship among Cd/Cr (r = 0.835), Cd/Cu (r = 0.699) and Cu/Cr (r = 0.859) at 5 % level of significance, indicating that soil contamination by the metals originated from a common anthropogenic sources such as different activities within the petrol stations including fuel spills, combustion of fossil fuel, leakage of underground tanks and pipes, wear and tear of vehicle tyres, engine parts and brake shoes as well as emissions from agricultural areas in proximity to the petrol stations. Since some of these metals are toxic even at low concentrations, it is therefore, recommended that the Department of Petroleum Resources (DPR) and other regulatory agencies frequently monitor the levels of these pollutants within the area and also ensure strict adherence to guidelines by petrol stations owners during sitting and operations to ensure a healthy environment.
Warshall’s algorithm—survey and applications

This survey presents the well-known Warshall's algorithm, a generalization and some interesting applications: transitive closure of relations, distances between vertices in graphs, number of paths in acyclic digraphs, all paths in digraphs, scattered complexity for rainbow words, special walks in finite automata.
Phase unwrapping using the extracted degree of coherence and phase from phase shifting interferometry systems

Current phase unwrapping methods for non-scanning interferometry systems with one wavelength are not robust in the presence of high steps while still having a limited step height and range using two wavelengths configurations. Here, a new phase unwrapping method is proposed, allowing imaging steps with a height up to 15 times the wavelength using one wavelength or up to 1500 times using two wavelengths. It is based on a one-time computational model fitting of calibration measurements that allows to extract the degree of coherence and phase from two phase-shifted images per wavelength, perform phase unwrapping and accurately reconstruct the 3D structure of the sample. The proposed method has a nanometric axial accuracy and can operate in real-time. The algorithms and methodology for one and two wavelengths are presented and confirmed experimentally.
Comparative Analysis of Language Translation and Detection System Using Machine Learning

Abstract: Words are the meaty component which can be expressed through speech, writing or signals. It is important that the actual message or meaning of the words sent must conveys the same meaning to the one receives. The evolution from manual language translator to the digital machine translation have helped us a lot for finding the exact meaning such that each word must give at least close to exact actual meaning. To make machine translator more human-friendly feeling, natural language processing (NLP) with machine learning (ML) can make the best combination. The main challenges in machine translated sentence can involve ambiguities, lexical divergence, syntactic, lexical mismatches, semantic issues, etc. which can be seen in grammar, spellings, punctuations, spaces, etc. After analysis on different algorithms, we have implemented a two different machine translator using two different Long Short-Term Memory (LSTM) approaches and performed the comparative study of the quality of the translated text based on their respective accuracy. We have used two different training approaches of encodingdecoding techniques using same datasets, which translates the source English text to the target Hindi text. To detect the text entered is English or Hindi language, we have used Sequential LSTM training model for which the analysis has been performed based on its accuracy. As the result, the first LSTM trained model is 84% accurate and the second LSTM trained model is 71% accurate in its translation from English to Hindi text, while the detection LSTM trained model is 78% accurate in detecting English text and 81% accurate in detecting Hindi text. This study has helped us to analyze the appropriate machine translation based on its accuracy. Keywords: Accuracy, Decoding, Machine Learning (ML), Detection System, Encoding, Long Short-Term Memory (LSTM), Machine Translation, Natural Language Processing (NLP), Sequential
Online-Learning and Students’ Motivation: A Research Study on the Effect of Online Learning on students’ motivation in IAIN Padangsidimpuan

An investigation was carried out to determine the strength of the relationship between online-learning and students’ motivation among  the students who participated in this research. The objective of the research is to know whether online learning can increase the students’ motivation or not This research was conducted in State Institute for Islamic Studies Padangsidimpuan in which 100 students took part as the samples of the research. The samples of this research were the students in Intensive Language Program IAIN Padangsidimpuan. Questionnaire was applied to access the data from the students participating in this process. The data was stattistically computed by using Pearson’s correlation coefficient. The findings of this research proved that online-learning and students’ motivation have a weak correlation. Using Pearson Correlation Coefficient it was found that r=0.156 is lower than r table = 0.5.  This internet-based learning poorly affected the students’ willingness to learn. The students were demotivated when they have to learn through online. As a matter of fact, motivation is the most essential element in influencing the students in learning virtually. This is happened because of several reasons including lack of technology skill, poor online learning designing, money and time consuming, and the inadequate internet access
Chained Data Acquisition and Transmission System Protype for Cabled Seafloor Earthquake Observatory

Seafloor observatories can provide long-term, real-time submarine monitoring data, which has great significance for the study of major scientific technology in marine science, especially in the seafloor earthquake observation. The chained submarine data sampling and transmission system is the prototype and foundation of cabled seafloor earthquake observatories. This paper designs and builds a chained data sampling and transmission system (SQSTS) based on Zynq-7000 Soc (System on chip) and clock synchronization. At the beginning, we realized high-precision submarine data (24 bit) sampling based on Zynq-7000 Soc and ADS 1256. Using the PPS (Pulse per second) signal provided by the P88 1588 PTP (Precise time protocol) clock synchronization board and the inner crystal oscillator of the Zynq-7000 Soc, the time stamp up to the microsecond level, for the seismic data sampled in each seismometer node can support subsequent inversion of seismic data. In addition, a high-speed data transmission link connecting nodes in SQSTS, which is based on the Gigabit transceiver and optical cable, has been investigated. The transmission link has been realized by using the Aurora IP core. The theoretical calculations indicate that the data transmission bus bandwidth can reach 4 Gbps, while in the meantime its reliability has been proved by experiments. The experimental results show that the system owns the characteristics of high data sampling accuracy, stable and reliable high-speed transmission, and has promising application prospects.
Image Encryption Using Arnold Map

Nowadays transmission of data over the network is increasing and the data can be in the format of text, image, audio and video. Images are widely used in maximum applications of daily life. Image encryption is one of the most recent area of research to meet the demand during image transmission. Transformation of image from one form to erroneous form is called as image encryption. So, it can be secured from unauthorized users. The security of encrypted image is completely dependent on two important aspects i.e. the strength of the cryptographic algorithm and the confidentiality of the key. This paper proposes an algorithm of image encryption based on 3D Arnold cat map combined with logistic chaotic map. To evaluate the security of the encrypted image of this scheme, key space analysis and differential attack are performed. Several test images are used to demonstrate the validity of the proposed encryption algorithm. The experiment result shows that the proposed algorithm provides an efficient and secure approach to real-time image encryption and transmission.
An Implementation Suite for a Hybrid Public Key Infrastructure

Public key infrastructure (PKI) plays a fundamental role in securing the infrastructure of the Internet through the certification of public keys used in asymmetric encryption. It is an industry standard used by both public and private entities that costs a lot of resources to maintain and secure. On the other hand, identity-based cryptography removes the need for certificates, which in turn lowers the cost. In this work, we present a practical implementation of a hybrid PKI that can issue new identity-based cryptographic keys for authentication purposes while bootstrapping trust with existing certificate authorities. We provide a set of utilities to generate and use such keys within the context of an identity-based environment as well as an external environment (i.e., without root trust to the private key generator). Key revocation is solved through our custom naming design which currently supports a few scenarios (e.g., expire by date, expire by year and valid for year). Our implementation offers a high degree of interoperability by incorporating X.509 standards into identity-based cryptography (IBC) compared to existing works on hybrid PKI–IBC systems. The utilities provided are minimalist and can be integrated with existing tools such as the Enterprise Java Bean Certified Authority (EJBCA).
STM32F429 Discovery Board-Based Emulator for Lotka-Volterra Equations

Lotka-Volterra equations are commonly used in prey-predator population studies. Simulation programs are commonly used to produce solutions of Lotka-Volterra equations and to examine their initial value dependendence. In literature, chaotic waveform generators, ECG and EEG generators have been made and used for research and education. To the best of our knowledge, such an electrical circuit to produce the Lotka-Volterra waveforms does not exist. Such a circuit can be made using either analog or digital circuit components. However, such a device may be used for education in classroom and also to prove concepts by population researchers. In this study, implementation and experimental verification of the microcontroller-based circuit which solves LotkaVolterra equations in real time and produces its waveforms are presented. Euler method is used to solve the equation system in discrete time. Presented design has been implemented using an STM32F429 Discovery Board, two DACs and four opamps. The microcontroller sends the signals to the outputs of the circuit using digital-to-analog converters and opamps. The waveforms acquired experimentally from the implemented circuit outputs matches well with those obtained from numerical simulations.