Reviewerly/exHarmony huggingface dataset:
Discourse Variation between CET-6 and TOEFL Listening Tests and Implications for Teaching

This study takes CET-6 and TOEFL as the research objects.Text Inspector and Lexical Tutor are used to conduct discourse analysis on the listening parts of the two tests, and the focus is on the variation in lexical structure.The results show that there are obvious differences between CET-6 and TOEFL listening in lexical features, subjects, modalities, and pause fillers.Based on the results, this study discusses the linguistic authenticity of the teaching and testing materials, and provides suggestions for the authors, teachers, and learners.
Future Software for Life in Trusted Futures

How will people, other species, software and hardware live together in as yet unknown futures? How can we work towards trusted and safe futures where human values and the environment are supported by emerging technologies? Research demonstrates that human values and everyday life priorities, ethics, routines and activities will shape our possible futures. I will draw on ethnographic research to outline how people anticipate and imagine everyday life futures with emerging technologies in their homes and neighbourhoods, and how technology workers envisage futures in their professional lives. If, as social science research shows, technologies cannot solve human and societal problems, what roles should they play in future life? What are the implications for future software? What values should underpin its design? Where should it be developed? By and in collaboration with whom? What role can software play in generating the circumstances for trusted futures?
Absolute phase recovery with multiple-wavelength fringes

In a recent work, a technique was proposed to recover the absolute phase maps of fringe patterns with two or three selected fringe wavelengths with the aim to improve anti-error capability. To further increase the anti-error capability associated with the phase unwrapping operation, multiple fringe patterns with different wavelengths may also be used. In this paper, we present a general rule to select the wavelengths and the strategy to increase phase error tolerance bound. Based on this rule, it is concluded that to maximize the error tolerance, four-wavelength method should be selected, where the maximum upper bound of the tolerable phase error is π/6. To minimize the required number of fringe patterns, three-wavelength method with three-step PSP should be selected, that is exactly the case the previous paper has demonstrated. These theoretical conclusions are verified by experimental results.
Field test of quantum key distribution with high key creation efficiency

Quantum key distribution (QKD) promises unconditional security for communication. However, the random choices of the measurement basis in QKD usually result in low key creation efficiency. This drawback is overcome in the differential-phase-shift QKD, provided that each photon can be prepared in a large number of time slots with a proper waveform. In this work we develop a miniature room-temperature 1550-nm single-photon source to generate narrowband single photon in 50 time slots with a nearly optimal waveform for achieving unity key creation efficiency. By utilizing these single photons in the field test, we demonstrate the differential-phase-shift QKD with a key creation efficiency of 97%. Our work shows that the practical QKD can benefit from the narrowband single photons with controllable waveforms.
Effectiveness of ICT Harnessing on Library Service Delivery: A Comparative Loom from Two Academic Institutions of Madhya Pradesh

The prime motto of the study is explored the harnessing of Information and Communication Technologies(ICTs) for delivery of library services and resources among the Intellectual community Madhya Pradesh with the special region of Khargone District’s academic Institutions i.e. Govt. P.G. College, Khargone (GPGCK) and Govt. P.G. College Mandleswar(GPGCM). The article espoused quantitative method and used a well structured questionnaire to amass the responses of the respondent’s data. More than 355 questionnaires distributed among the intellectual community of GPGCK and GPGCM and 80 percent respondents given the effective responses to attain the objectives of the study. The results unearthed that library services viz. Circulation, Reference, CAS/SDI, and Digital services but Social media platform services were more effective and support in delivery of library services and provide utmost satisfaction among both academic institutions. It was also noticed that lack of technical library personnel, poor bandwidth of the internet and erratic power supply were the foremost barriers in GPGK and GPGM. The study urged that promotion and implementations of social media tools for library services delivery will be effective and provide the utmost satisfactions among the end users, which is the prime objective of the library and Information Science Professionals.
Ultrafast Parallel Random Number Generation with a Chip-Scale Semiconductor Laser

We employ spatio-temporal interference of many lasing modes for ultrafast and scalable random number generation. The laser diode with specially-designed cavity produces hundreds of bit streams on a total rate two orders-of-magnitude faster than state-of-the-art.
Strengthening Vocational Skills Training for Normal University Students and Cultivating Their Vocational Abilities

Practical teaching ability is an essential professional ability for English subject educators at all stages of education.As the main battlefield for cultivating normal school students, universities should actively promote the integrated reform of English practical courses, actively organize vocational skill training activities, and help students form good professional abilities.
A Multi-Channel Text Sentiment Analysis Model Integrating Pre-training Mechanism

The number of tourist attractions reviews, travel notes and other texts has grown exponentially in the Internet age. Effectively mining users’ potential opinions and emotions on tourist attractions, and helping to provide users with better recommendation services, which is of great practical significance. This paper proposes a multi-channel neural network model called Pre-BiLSTM combined with a pre-training mechanism. The model uses a combination of coarse and fine- granularity strategies to extract the features of text information such as reviews and travel notes to improve the performance of text sentiment analysis. First, we construct three channels and use the improved BERT and skip-gram methods with negative sampling to vectorize the word-level and vocabulary-level text, respectively, so as to obtain more abundant textual information. Second, we use the pre-training mechanism of BERT to generate deep bidirectional language representation relationships. Third, the vectors of the three channels are input into the BiLSTM network in parallel to extract global and local features. Finally, the model fuses the text features of the three channels and classifies them using SoftMax classifier. Furthermore, numerical experiments are conducted to demonstrate that Pre-BiLSTM outperforms the baselines by 6.27%, 12.83% and 18.12% in average in terms of accuracy, precision and F1-score.
Employee Engagement and Firm Performance: An Analysis of the Small Industrial Sector in Syria

This study investigates the impact of employee engagement on firm performance within the small industrial sector in Syria. Drawing from a sample of 269 managers, the research utilized regression analysis to test the relationship between these two variables. Findings indicate a significant positive relationship between employee engagement and firm performance, contributing to the understanding of human resource management practices in this specific context.
A Hybrid Centralized-Peer Authentication System Inspired by Block-Chain

The process of identifying and authenticating people is considered to be a crucial task nowadays. However, this ease of use comes with its own problems; like identity theft and identity fraud. Which, might be exploited by means like; the collusion of a corrupt authenticating organization, or internal fraud within the authenticating organization, or by a manipulative majority in case of multiple-authenticators. The proposed system will be an attempt to deflect such cases by establishing an unbiased organizational authentication system. This work illustrates a design of a hybrid authenticating system that does not have a single actor that carries out the whole authentication process. Instead, it will borrow the concept of authenticating peers from the block-chain technology and utilize it with the architecture of centralized authenticating system. Security analysis of the proposed system shows its effectiveness against various types of attacks and scenarios.
Forensic Analysis of Webex on the iOS Platform

An increasing number of companies have adopted online telecommunication software for their office software pack, and Webex was one of the popular choices. With the surging usage of online telecommunication software, online meeting exploitation and disruptions cases also increased. However, there is limited research performed on online telecommunication software from the forensics perspective, and most are focused on Skype. Also, even though the iPhone’s market share outperforms Android in the United States, the iOS system is under-researched. This paper fills the gap by performing a forensic analysis of Webex on the iOS platform, elucidating the structure of Webex in the iOS system, and displaying pertinent artifacts. The findings show that retrieving critical information in plain text from the application is possible. We retrieved data such as the username, phone number, device type, meeting session start time, meeting session attendee ID, etc. Also, we compared the evidence left from two types of accounts, basic and enterprise. The result shows that an enterprise account leaves more user data on the phone, a basic account keeps more device data. We used three tools, Cellebrite, Axiom, and DB Browser for SQLite, to validate the results. The result of the three tools all align.
Watch Your WeChat Wallet: Digital Forensics Approach on WeChat Payments on Android

WeChat is one of the most popular instant messaging applications in the world. In 2021, WeChat had 1.24 billion active users. Its users call it ‘super app’ due to its various functions, and they particularly enjoy the payment feature for both personal and business purposes. Criminals abused the platforms to facilitate illegal activities such as bank fraud. Previous research on WeChat focused mostly on the messaging function of the WeChat app, but it has rarely been considered as a wallet or payment app. The payment feature on WeChat can provide crucial evidence, especially for scam cases. Therefore, this research intends to fill the gap by performing a forensic analysis of the WeChat payment function on Android devices. This research has five stages: device preparation, data population, data extraction, analysis, and reporting. In this research, five activities were examined: registering a credit card in the account, sending and receiving money with contact, performing money transactions with the corporate account, making payment through the Service portal, and requesting the complete payment history from the official Weixin Pay account. The result shows that money transactions between contacts and money transactions through Service portal can be fully recovered. Partial information can be retrieved when users register for credit cards or purchase official account services. However, no data on payment history could be recovered from the official Weixin Pay account. Magnet Axiom Process and Examine tools were used for image extraction and artifact analysis.
A Survey on Efficiency and Profitable Trading Opportunities in the Cryptocurrency Markets: An Approach in the Context of the War of 2022

In this paper, we analyse the long memory process in the cryp­tocurrencies Bitcoin (BTC), Cardano (ADA), Binance Coin (BNB), Dogecoin (DOGE), Ethereum (ETH) and Ripple (XRP) from January 1st, 2018, to No­vember 10th, 2022, which includes the 2020 and 2022 events. The results demonstrate that the daily returns are leptokurtic, and the distributions are non-Gaussian. We also observe non-linearity, implying autocorrelation or conditional heteroscedasticity in digital currencies. The DFA exponents re­veal that throughout the Tranquil period, digital currencies with current val­ues higher than 0.5 exhibited long memory in their returns. The BNB digital currency has an exponent of 0.5, indicating that the series were unpredicta­ble throughout this period. As can be shown, all cryptocurrencies offer val­ues of the DFA exponent greater than 0.5 in the Stress subperiod, implying that the higher the DFA exponent and closer to 1, the higher the persistence, as well as the autocorrelation between observations and stronger predictive ability. The findings support the evidence examined by the BDS test, name­ly that price movements are not i.i.d. (independent and identically distribut­ed) and that investors have a high possibility of achieving above-average returns through arbitrage.
NORMAS

Normas de publicação para a Revista Latinoamericana de Ciencias de la Comunicación
A Study on the DX Support Policy for SMEs in Korea and Japan : Comparative Analysis through Cooper’s Four Dimension Model

As society's digitalization progresses, companies' ability to utilize digital technology has emerged as one of the important factors that determine their competitiveness. However, in the case of SME that are difficult to invest their budgets in digital transformation, digital transformation is slower than that of large companies, which causes management deterioration of SMEs in the mid􋹲 to long􋹲term. Accordingly, countries around the world are making efforts to promote DX for small and medium􋹲sized enterprises.Accordingly, this study compared and analyzed DX support policies for SME in Korea and Japan using Cooper's four-dimensional model and derived implications for Korea. The results of the study are as follows. At the Normative dimension, it was common that the Korea􋹲Japan SME digital transformation support policy was introduced to improve SME’s productivity and strengthen manufacturing competitiveness against the backdrop of the widening digital gap between SME and large companies. On the other hand, in the case of Korea, goals such as job expansion and industrial accident reduction were pursued at the same time, and in the case of Japan, there is a difference in that a wide range of support policies such as management support and cybersecurity were established. At the Structural dimension, both countries have something in common that supports SME digital facility investment, but in Korea, a level check and consulting budget were set up separately, and in Japan, support for purchasing peripherals such as computers and tablet PCs was made. At the Constitutive dimension, both countries have something in common that the central government􋹲led digital transformation of SMEs took place, but in Korea, several government ministries were involved, and in Japan, a single ministry was involved. Another difference was that Korea's relatively emphasized the role of the state in the digital transformation of SME.At the Technical dimension, both countries have prepared indicators to evaluate the degree of digital transformation of SME. On the other hand, in Korea, government agencies quantitatively evaluated the performance of support projects, but in Japan, there was a difference that companies were encouraged to judge the degree of digital transformation themselves.
Research on Scholarship System in Universities Based on AHP-EWM Combined Empowerment Method

It is crucial to scientifically evaluate students' excellence and to study the motivating effect of scholarships on students. In this paper, we develop a merit-based scholarship system that focuses on students' overall ability and is tailored to individual students. Firstly, the data in the annexes are pre-processed to eliminate the unqualified data and quantify the definite category data in them, and then a three-level evaluation index system is established to determine the overall performance of students, including 4 secondary indicators and 11 tertiary indicators. The weight of each tertiary indicator to the secondary indicators is determined by the entropy weighting method, and then the weight of the secondary indicators to the primary indicators is determined by the AHP-EWM combined weighting method, and finally the TOPSIS method is used to quantify and rank the students' comprehensive performance, and the scholarship is divided into school-level first, second and third grades, and the students with the top grades are selected for the award.
Research on the Influence of Financial Mathematics on Modern Financial Market

In the process of continuous reform and development of financial markets, financial theories are constantly updated and the research and development of financial mathematics becomes more and more important. This paper focuses on the impact of financial mathematics on modern financial markets. Starting from the emergence and development prospect of modern financial mathematics, the impact of financial mathematics on the development of modern financial market is comprehensively elaborated by analyzing financial mathematical theories, such as harness theory, stochastic optimal control theory and optimal stopping theory, and analyzing the application of mathematical models in financial theory. Financial mathematics not only effectively drives the innovation and iteration of financial instruments, but also has a direct role in the development of financial markets. The article focuses on the application of mathematical knowledge in several financial problems, aiming to provide reference and reference for advancing the application of mathematical knowledge in the field of finance.
The Mediating Effect of Leadership Life Skills in the Effect of Altruism on Citizenship in the Pre-service teachers

This study examined the relationship between altruism, leadership life skills, and citizenship ofpre-service teachers, and analyzed the mediating effect of leadership life skills in the effect ofaltruism on citizenship. For this purpose, we conducted a study on 318 pre-service teachers,and it was investigated through questionnaires measuring altruism, leadership life skills,citizenship. The main findings are as follows. First, there was a significant positive correlationbetween the altruism of pre-service teachers, leadership life skills, and citizenship. Second,altruism and leadership life skills have been shown to have a positive effect on citizenship. Third, it has been confirmed that leadership life skills have a partial mediating effect on theeffect of pre-service teachers' altruism on citizenship. These results suggest that it is necessarynot only to develop altruism but also to improve leadership life skills in order to strengthen thecitizenship of pre-service teachers.
Research on the Identification and Countermeasures of Corporate Financial Fraud Risk: a Case Study of Gansu Huangtai Wine-Marketing Industry Co., Ltd

With the rapid development of China's economy and the improvement of the capital market, the competition among enterprises has intensified.In the context of achieving the goal of maximizing benefits, in order to develop steadily in the market, enterprises have begun to use various means to conduct financial fraud and "whitewash" financial statements.Financial fraud has gradually developed into a common phenomenon of listed companies.This study mainly uses the case analysis method, and mainly conducts research and analysis on the facts of the financial fraud case of Gansu Huangtai Wine-Marketing Industry Co.,Ltd (hereinafter referred to as "HT company").First of all, the article sorts out the research status of financial fraud in China, and explains its triangular theory, which provides a theoretical basis for future research.Secondly, this study explores the risk identification of financial fraud in general listed companies and discover some clues of HT company's financial fraud behavior from the perspective of financial indicators, more clearly grasp the financial fraud means, and use the financial fraud triangle theory to analyze the fraud motivation.Finally, based on the vertical perspective of the "triangle", this study summarizes and puts forward measures and suggestions to prevent financial fraud from the perspectives of internal corporate governance and external governance, so as to guide the development of enterprises, reduce the occurrence of financial fraud incidents, and promote the continued stability of the capital market.
Academic Achievement of Undergraduate Nursing Students in The Faculty of Nursing Before And During Corona Pandemic

Background: Universities were abruptly obliged to move to e-learning as a result of the Corona pandemic, and the University of Tripoli's College of Nursing was one among such institutions. From there, the research came to show the reality of using e-learning in the College of Nursing at the University of Tripoli, Libya. Under these circumstances. Purpose: The purpose of this study is to compare the academic achievement of second semester nursing students in the faculty of nursing before and during the Corona pandemic. Method: Using the quantitative comparative research design with all population sampling, a total of 148 nursing students were utilized as the sample. 88 of which were allotted before Corona pandemic while samples of 60 during the Corona pandemic. Data were collected from the college study and exams office, which were the final grade of the selected course in the second semester of the academic year 2019-2020 and the first semester of the academic year 2020-2021. The collected data were statistically analyzed using SPSS version 24, with t-test used to compare the effect of e-learning on student achievement in Fundamentals of Nursing 2 course (NU113) during the Corona pandemic to that of face-to-face learning prior to the Corona pandemic.
Research on MOOC Blended Teaching Design Guided by the Cultivation of High-Order Thinking Ability among College Students

With the development of Internet technology, the teaching mode of "Internet plus teaching" has been widely concerned by society.In recent years, under the influence of the COVID-19, most colleges and universities in China have begun to adopt the online teaching mode based on MOOC, which has solved the problem of some college students' difficulty in attending school.After seeing the advantages of MOOC teaching, China began to introduce MOOC blended teaching mode, aiming to stimulate the learning enthusiasm of college students.The blended teaching of MOOCs should pay more attention to the cultivation of high-level thinking abilities of college students.
Development of Methods for Automatic Processing of the Interference Spectrum in the HF Band for the Problem of Assessing the Availability of Radio Channels

The problem of HF radio communication in the ionosphere is characterized by the variability of the operating frequency range and channel parameters, including time-frequency dispersion and man-made interferences. Therefore, it remains topical to develop radio sensors based on software-defined radio that enhance communication efficiency in challenging conditions where radio channel parameters and narrowband interferences vary. In the latter scenario, monitors analyze the spectral density of interference and utilize the threshold method to identify available channels that are not occupied with narrowband interferences. However, existing methods for determining available channels encounter difficulties due to significant spectrum irregularities, resulting in errors in availability estimation. To address this contradiction, this paper proposes a method of median filtering with the use of a sliding filter to process the measured spectrum. The effectiveness of the method was experimentally verified through an analysis of noise spectrum in the city of Yoshkar-Ola.