Reviewerly/exHarmony huggingface dataset:
So You're Going on a “Short” Hike? Sensory Awareness and Listening to Ecoregions in <i>A Short Hike</i>

Abstract A Short Hike employs ecological zone sound design in the form of location-based audio cues, region-specific tracks and soundscapes, and an interactive soundtrack that responds to Claire's location or the nature of her movement. This sensory knowledge directly informs how we listen to, perceive, and negotiate the layered nature of place in games.
Computer Intelligent Proofreading System of Translation Model Based on Improved GLR Algorithm

The intelligentization of translation computers refers to the use of modern computer science technology, network information technology and information processing theory to analyze and recognize massive texts and apply them to the translation process. This article intends to use the improved GLR algorithm to study the computerized intelligent proofreading system of translation models, and its purpose is to improve the translation accuracy of the computer-aided system. This article mainly uses experimental and comparative methods to test and study the computerized intelligent proofreading system for the translation model of the improved GLR algorithm. Experimental results show that the improved GLR algorithm machine translation's recognition accuracy rate can reach 95%. For this reason, the computer intelligent proofreading system can use the improved GLR algorithm to improve the accuracy of the system.
Assessment of Staff Motivation on Employee Performance: the Case of Public Service Management and Good Governance Office in Tanzania

The paper assesses effect of staff motivation on employee performance using recognition as the motivation factor. Tanzania's Public Service Management and Good Governance Office were polled for the study. The presumption that guided the study's topic was that employee performance is positively and significantly impacted by staff recognition, which is a factor in staff motivation. Cross-sectional design and both descriptive and inferential statistics were used in the study. A straightforward random chance sampling strategy was employed to include 144 research participants in the sample. Most primary data were gathered through the use of standardized questionnaires. The study discovers a statistically significant and robustly beneficial relationship between worker recognition and worker performance. Nonetheless, there is a little to moderate impact on the types of rewards and incentives, fringe benefits, and job quality of employees in Tanzania's Public Service Management and Good Governance Office divisions. According to the study's findings, workers at Tanzania's Public Service Management and Good Governance Office perform better when they receive compliments from their department leaders.
Mutual Legal Assistance in Combating Cybercrimes in the East African Community

This paper is devoted to exposing the challenges facing the East African Community in fighting computer crimes. Several comparisons were made where Kenya, Uganda, Burundi, Rwanda, and Tanzania were used as focal points in examining the effort and mutual assistance in fighting cybercrimes. It was, however, revealed that computer crime has increased, and so have the computer cyber challenges. Looking into the bigger picture of cyber offences around the world, Africa, especially the East Africa Community, is not immune to cyberattacks, and henceforth, there is a dire need for a common understanding of such mischief at the global and regional levels. This thesis depicts the solution to these challenges, including global legislation and the mutual assistance of all states. Although currently there is no global legislation to counter transnational cyber offences, East Africa, on the other hand, has shown a way through its EAC Treaty, which is not even effective in deploring mutual and joint efforts in addressing the problem of cybercrimes in the whole of East Africa. This thesis has given credit to Rwanda as a member of the EAC, which has good and comprehensive legislation dealing with computer crimes and is the only single-country effort in the absence of a majority. Likewise, this thesis has expounded on the existing gap in Chapter 4, which has addressed computer crime in the EAC, and recommendations were made, especially to learn from other countries that have succeeded in fighting computer crimes, including Rwanda. The study deployed qualitative research methods as an alternative to gathering information. The reason was that qualitative research improves a substantial part of the law, which could result in achieving the broader goal of the study.
A Comparative Study Of Cryptography And Image Steganography Technique

Data security involves protecting digital information to prevent unauthorized access to computers, databases, and websites. Cryptography, encryption, and compression are key strategies for data protection. AES is a powerful cryptographic method. Confidentiality, authenticity, integrity, and non-repudiation are crucial for online communication. Steganography enhances message security across networks, using a photo as a cover material. The smart grid offers flexibility, reliability, and efficiency in power production and distribution. To protect privacy and confidentiality, greyscale cover images undergo discrete wavelet transformation (DWT) and a chaotic map is applied to the secret image
Special Issue: “AI Acceleration on FPGAs”

introduction Share on Special Issue: “AI Acceleration on FPGAs” Authors: Yun (Eric) Liang Peking University, Peking, People's Republic of China Peking University, Peking, People's Republic of China 0000-0002-9076-7998View Profile , Wei Zhang The Hong Kong University of Science and Technology, Hong Kong, People's Republic of China The Hong Kong University of Science and Technology, Hong Kong, People's Republic of China 0000-0002-7622-6714View Profile , Stephen Neuendorffer Xilinx, San Jose, CA Xilinx, San Jose, CA 0000-0003-2956-8428View Profile , Wayne Luk Imperial College London, London, UK Imperial College London, London, UK 0000-0002-6750-927XView Profile Authors Info & Claims ACM Transactions on Embedded Computing SystemsVolume 22Issue 6Article No.: 89pp 1–3https://doi.org/10.1145/3626323Published:09 November 2023Publication History 0citation52DownloadsMetricsTotal Citations0Total Downloads52Last 12 Months52Last 6 weeks42 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Improvement of Accuracy for Hate Speech Detection Using Modified Feature Extraction

The proliferation of toxic online content has become a significant concern in today’s digital landscape, fueled by the widespread use of the internet among individuals from diverse cultural and educational backgrounds. One of the central challenges in the automated identification of harmful text content lies in distinguishing hate speech from offensive language. In this research paper, we undertake a comprehensive examination of two primary modeling approaches for hate speech detection. Leveraging the Twitter dataset, we conduct experiments that involve the utilization of n-grams as distinctive features, subsequently subjecting their term frequency-inverse document frequency (TFIDF) values to various machine learning models. A comparative analysis is conducted across 5 models among which, Logistic Regression and Gradient Boosting produce the best results.
A STUDY OF ATTITUDES TOWARD MOBILE-ASSISTED LANGUAGE LEARNING OF CHINESE COLLEGE STUDENTS IN YUNNAN

This study aims to investigate the Chinese undergraduate students’ attitudes toward using mobile-assisted language learning (MALL) in the English language learning. This study used quantitative method and focus on descriptive research design. 375 participants were selected by convenience sampling form population to do questionnaire survey. The findings presented that students have a moderately high level of attitude toward MALL (M=3.666, SD = 0.545) at the Yuxi Normal university. They are willing to try to learn and master the ability to learn using mobile devices if they are guided and taught. Based on research findings, it shows students need to receive some appropriate pre-training on the proper use of MALL to learn English. In addition, students may seek help from their teachers because they have problems they cannot solve when using MALL. Therefore, teachers also need to be trained to have the theoretical knowledge of how to operate MALL to provide better assistance to students.
IMPACT OF TEAMWORK ON THE PERFORMANCE OF THE EMPLOYEES IN THE NON-GOVERNMENTAL SECTOR

Teams are considered one of the most important components in today's corporate world. As a result, employee productivity and the company's overall performance are suffering. Lebanese NGOs, which are notoriously bad at collaborating, are in particular need of this kind of assistance. Thus, the main purpose of this research is to investigate the importance of cooperation in the workplace and find out what is needed to create an ideally productive and efficient team in the workplace. Managers and leaders understand the importance of collaboration in the workplace when it comes to achieving company goals and objectives. To collect the most important information from respondents, Google Docs used a standard questionnaire that was sent via email. The survey was distributed over 300 respondents to collect data, and only 250 respondents answered the questionnaires. The data was analyzed using the SPSS statistical tool to generate the results. As a result, the NGO that uses collaborative methods in the workplace performs better than the NGO that does not. It was discovered that NGOs gain from greater cooperation due to improved communication. Compensation plans improve the performance of teams in non-profit businesses, according to research. Researchers have found that higher levels of remuneration in the workplace are associated with higher levels of team performance. This implies that when the NGO's goals are achieved, the efforts of a team should be recognized and rewarded.
Life Between Art and Blood

Artist-researchers Heidi Pietarinen and Amna Qureshi from the University of Lapland have conducted in-depth work on the innovative BioARTech laboratory environment and utilisation of available resources for a bioart project called Life Between Art and (Reindeer) Blood. The aim and focus of the project were to utilise reindeer blood as a reindeer herding by-material instead of treating it as waste material. Both artist-researchers were curious to see how nature as a living design medium becomes perceptible to humans. In this study, a living design medium refers to material production that incorporates simple living organisms such as reindeer blood, material-driven design and co-designing, with an entity having its own agency. Bioart can be used to develop innovative design and art practice to work with nature (biology) and the non-human, such as live tissues (i.e. materials engineered by nature itself), microbes or living organisms (birds, insects, trees and blood), to bring about new design solutions and life processes. Through the arts-based research (ABR) approach, this ground-breaking research aims to develop activities that integrate environmental biotechnology, bioart, surface pattern design, and science.
Effect of Think-Pair-Share Strategy on Reading Comprehension of Narrative Text at the Eighth Grade of SMP GKPS 3 Pematang Siantar

This research aims to discover the Effect of Think-Pair-Share Strategy on students’ reading comprehension of the eighth-grade students of SMP GKPS 3 Pematang Siantar on Narrative text. This research used quantitative research with quasi experimental method. The data were collected through tests. The sample of this research were the VIII-2 as Experimental group and VIII-1 as Control group. The test was carried out with pre-test and post-test to students using narrative text. As a result, the researchers found the mean score in experimental class from pre-test to post-test were 25.92 and 78.14. The mean score in control class from pre-test to post-test were 32.22 and 56.81. The t-test value was 9.5, at a level of significances 0f 5% (=0.05), whereas t-table was 2.007, or t-test&gt;t-table. Therefore, the Alternative Hypothesis (Ha) was accepted and the Null Hypothesis (H0) was rejected. Hence, there is a significant effect of using Think-Pair-Share Strategy to the reading comprehension at the Eight grade students of SMP GKPS 3 Pematang Siantar.
Conclusions

This short monograph reviews the basic economic principles through which to look at the essence of recent blockchain-based monetary innovations and their implications, beginning with the different ways of trust that economists and computer scientists and meant to address. It is an educated guess that users of cryptocurrencies and stablecoins shall self-select their own ecologic niches, in connection with the expected forthcoming regulations. Arguing about the sense of a central bank digital currency (CBDC) is a more sophisticated endeavor that concerns in the first instance the foreseeable reverberations on the delicate equilibria along the hierarchy of account-based money. Beyond the efficiency and financial inclusion that motivate the CBDC construct, one notices that systemic central banks like the Fed or the ECB cannot afford to lag behind the technological frontier. The tension between the different methodologies employed by economists and computer scientists may prove useful in the ongoing inquiry about the potential of blockchain solutions.
On the question of the criteria for the paracompleteness of logics

The paper discusses some aspects related to the definition of a paracomplete logics. There are various ways to formalize the basic condition of paracompleteness – the requirement of the presence in the logical system of such formulas that these formulas themselves and their negations are false. The corresponding definitions of the paracompleteness are given. It is indicated in which cases these definitions may be equivalent. The conditions of equivalence of the law of excluded middle φ ∨ ¬ φ , the law of Clavius ( ¬ φ → φ ) → φ and its special case ( φ → ¬ φ ) → ¬ φ are considered. The paper deals with issues related to the issues of the paracomplete negation, as well as its modal interpretation.
Pengaruh DEA dan Waktu Dipping terhadap Nilai Band Gap Lapisan Tipis CuSnO3

CuSnO3 is one of the semiconductor materials that can be used in the manufacture of thin film. CuSnO3 is an amorphous semiconductor with a band gap of 2.0-2.5 eV. Dip-coating is one method that can be used to synthesize a thin film of CuSnO3. This study aims to see the effect of DEA additives and dipping time on the band gap value of a thin film of CuSnO3. The results of a thin film of CuSnO3 using the dip-coating method with DEA variations of 1 ml, 1.5 ml, and 2 ml as additives, obtained band gap values of 2.55 eV, 2.41 eV, and 2.31 eV. The larger the volume of DEA, the smaller the band gap value produced. At dipping times of 10 minutes, 15 minutes, and 20 minutes, band gap values of 2.58 eV, 2.31 eV, and 2.26 eV were recorded. The longer the time it takes to dye, the smaller the band gap value produced.
Assessment of educational results of fifth-grade students in the process of teaching English at comprehensive school in the context of the implementation of the Federal State Education Standard

The aim of the study is to theoretically substantiate and experimentally prove the effectiveness of using formative assessment tools during English lessons in grade 5 at secondary school in the context of the implementation of the Federal State Education Standard. The paper analyses and substantiates the potential of using formative assessment tools in the implementation of the system of assessing students’ educational results when teaching English in accordance with the requirements of the Federal State Education Standard. The scientific novelty of the study lies in clarifying the essence of formative assessment, systematising formative assessment tools in the process of teaching English at secondary school. As a result, it has been proved that the use of additional formative assessment tools during English lessons makes it possible to assess subject, personal and meta-subject results as a whole, to track the dynamics of individual student achievements, the formation of self-control and self-esteem skills in the process of communicative activity in a foreign language.
Pengembangan Modul Digital IPA Berbasis Contextual Teaching and Learning (CTL) untuk Siswa Kelas IV Sekolah Dasar

Implementing information technology is an effective, efficient way of conveying information in learning. The selection of digital modules as learning media is closely related to the rapid development of technology. The development of this digital module media is that the learning media available in schools have not varied, and digital modules based on Contextual Teaching and Learning (CTL) on style material have yet to be developed. The purposes of this study are as follows: (1) to develop digital media modules based on Contextual Teaching and Learning (CTL) in science learning style material for fourth-grade elementary school students (2) to find out the quality and feasibility of digital media modules based on Contextual Teaching and Learning (CTL) in science learning style material for fourth-grade elementary school students. This study belongs to the research and development (R&amp;D) type by using the ADDIE development method. The data collection technique uses a questionnaire on the assessment results of expert validators, educators and students. Data analysis techniques using qualitative analysis techniques are carried out by describing the data obtained from criticism, suggestions, input and comments and quantitative data obtained from the results of the assessment sheet. The respondents referred to educators and students. The trial was conducted on students first explaining digital modules based on Contextual Teaching and Learning (CTL) in science learning style material. Students could try out these digital modules. The results of the assessment of the quality of digital module media by media experts scored 92 "very good", material experts scored 86.6 "very good", learning experts scored 94.6 "very good," and linguists scored 78.6 " Good ". This digital module is very feasible to be used as teaching material for students.
Pengembangan Multimedia Interaktif Materi Cuaca untuk Kelas 3 Sekolah Dasar

Technology provides changes in the application of student learning, which initially could only listen to explanations from teachers and understand material that only comes from textbooks. Still, with current technological developments, the information obtained is sourced from student books and interactive media. This research aims to produce interactive multimedia weather material for class 3 SDN Bareng 2 Malang and to analyze the validity, attractiveness, and effectiveness of class 3 SDN Bareng 2 Malang. This development research uses the ADDIE model to measure validity, effectiveness, and attractiveness later—interactive multimedia on whether the material was developed for grade 3 at the elementary school level. The results of the validity of multimedia obtained from material experts amounted to 93.75% and entered the criteria for a very valid eligibility level. Meanwhile, media experts are 88.3% in the very valid category. Then, the results of linguists are 90% and reach the criteria of very valid or appropriate to be used as learning media and can be tested in the field. Then, the results of the attractiveness of multimedia obtained 98.9% with desirable criteria. The effectiveness of getting a score from the pre-test in individual trials reached a score of 140. In the post-test, it achieved a score of 250. Furthermore, small group trials achieved 870 in the pre-test results. Then, the post-test results rose to 1350. The final test was the field trial to 2365, and then the post-test score increased to 3965. In conclusion, the pre-test and post-test scores increased from 62 students in grade 3 at SDN Bareng 2, which was 54.43% in the pre-test then 89.75% in the post-test.
Microsoft's Layout in the Gaming Industry and Metaverse: Starting from Blizzard

Microsoft became the third-largest gaming company in the world after acquiring Activision Blizzard for $69.7 billion in January 2022, after Sony and Tencent. This article aims to explore the strategic objectives and significance of Microsoft's acquisition of Activision Blizzard and identify its impact on the internet industry. The research finds that Microsoft's primary goal for acquiring Activision Blizzard is to lay a solid foundation for future development in the metaverse and aid in its digital transformation. This acquisition fully demonstrates that the metaverse is the main direction for the future development of the internet industry, and gaming is one of its primary gateways. The article argues that investors and companies should invest more in developing new platforms to aid in the development of the metaverse. Governments should also strengthen their regulatory and risk-prevention efforts in the gaming industry, while consumers should learn more about the protection of their privacy and security in the metaverse.
Application of ARIMA in Mean-Variance Portfolio Optimization

The stock market often carries investment risks, and portfolio investment can to some extent reduce investment risk, helping investors to achieve certain goal in the financial market. In this paper, stock data from March 15th, 2022, to March 20th, 2023, is collected, and the ARIMA prediction model is ap-plied in the mean-variance framework for constructing optimized portfolios. The results are summarized as follows. First, the data passed the white noise test and was used to conduct ARIMA prediction. The residual sequence of the prediction results is stable, and the model performance is good. Then, the minimum-variance model and the maximum Sharpe ratio model are imple-mented according to the predicted data. Ping An Insurance has the largest weight in the minimum variance model, and Baosteel has the largest weight in the maximum Sharpe ratio model. Overall, the result in this paper provides insightful point for financial investors.