Reviewerly/exHarmony huggingface dataset:
Parental Roles for Their Children's Educational Activities in Nepal

Education for children is the universal right where the nation, community, school and parents have the major responsibilities and play the crucial roles. Among all, parents are the most responsible and play the vital roles for their children’s education. Hence, focusing on the foremost roles of the parents, the study was conducted to find out the parental roles for their children’s educational activities. The study was carried out at Laboratory Higher Secondary School, Kirtipur, Kathmandu, Nepal with cross sectional descriptive research design. Data were collected from 45 parents of students of grades 7, 8 and 9 by using self-administered questionnaire. Parents from Brahmin, Janajati ethnicity of ≥35 years with higher secondary level education, housewives, permanent job holders and from single families were found to be the most involved in children’s education. The parents had managed their time at home for their children’s study. They facilitated children’s study at home by helping in difficult homework, doing family interaction regarding children’s study, providing facilities as children needed, fixing schedule for study, finding out weaknesses, counsel and then help them accordingly, clarifying theory and practical and provide general knowledge. They also had created favorable learning environment for children by maintaining sound home environment, managing separate rooms for study, providing physical facilities, behaving friendly with children, doing family discussion on general knowledge and avoiding pressure only on bookish knowledge. The parents had also involved at school for their children’s education by visiting school, interacting with principal, class coordinators, subject teachers and their children’s friends, communicating periodically by doing face to face meeting or phone calls. The parents have found that their visit to school have motivated their children for study, have got moral support and confidence in study, have chance to find out weakness in their children’s study and to improve on time and become well-disciplined. Additionally, the parents had adopted numerous strategies to motivate their children to study well. It is concluded that the parents were playing multi dynamic roles as helper, guide, teacher, supporter, facilitator, motivator, manager, advisor, investor, communicator, counselor, consoler and evaluator at home and school with different ways and various strategies. Such findings can be implicated for good parenting education, include on school curriculum, development of harmonious society and conduct further research on such related issues.
Sign Language Recognition using Python and Open CV

Abstract: Sign language serves as a vital medium of communication for millions of individuals worldwide who are deaf or hard of hearing. While sign language proficiency is a cornerstone for effective communication within the deaf and hearing-impaired communities, it remains a language not universally understood. Bridging this communication gap is a crucial step towards inclusivity and accessibility, and technology can play a pivotal role in achieving this goal.
Development of Wondershare Filmora Food Photography Learning Media in Culinary Arts Course at Medan State University

This research aims to: (1) Produce Wondershare Filmora-based learning media in Culinary Arts Subject; (2) Test the feasibility of Wondershare Filmora-based learning media in Culinary Arts Subject according to material experts and media experts. The research location was conducted at the Culinary Education Study Program at Medan State University. The research time was November 2022 - January 2023. This research uses the ADDIE development model which is limited to 3 steps, namely (1) Analysis (needs analysis); (2) Design (making storyboards and making learning media); (3) Development (validation by material experts and media experts). The research subjects consisted of one material expert, one media expert, and 30 students of the Cosmetology Education Study Program. The data collection technique used a questionnaire to capture material quality data and media quality data. The data analysis technique was descriptive. Based on the results of this study, the results of the analysis of the needs of lecturers and students that all lecturers and students need Wondershare Filmora learning media, each score ≥ 50 percent. This media can be disseminated and implemented in the Culinary Arts course. The results of the material expert validation obtained a feasibility of 95.38 percent with the criteria "Very Feasible", and the results of the media expert validation obtained a feasibility of 94.12 percent with the criteria "Very Feasible" so that Wondershare Filmora media learning in the Culinary Arts course Food Photography material is included in the "Very Feasible" category with an average value of 94.75 percent. The results of student assessment of student response trials of Wondershare FIlmora learning in Culinary Arts courses Food Photography material are very high with a score of 4.63.
MULTI-CRITERIAL SCHEDULING OF A SPACECRAFT CONTROL CENTER’S OPERATION ON A DYNAMIC MODEL WITH DEAD-END CONTROLS

The article is devoted to the solution of a problem of multi-criterial scheduling for execution of calculations of a large number of time-consuming computational tasks being solved simultaneously when implementing the time-sharing mode for their solutions in software and hardware’s multi-processor computing systems by the spacecraft control center. A dynamic recurrent model with dead-end controls is used to imple-ment the schedule of organizing software command information with control sectors. The criteria for selecting an efficient option of a daily schedule for the control sectors’ operation are determined, with the schedule being presented as time intervals of access to the computing system’s resources. Compared to the traditional algo-rithms of discrete optimization, the method of dead-ends control is more efficient in calculation in the frame-work of a dynamic model. An example of calculations conducted by the dead-end controls algorithm for the operational program, which is used on board of the spacecraft during a communication session, is given.
Effect of Literature Availability in Sports and Quality of Service of Library towards the Satisfaction and Learning Motivation of the Students Major of Sports

This research aims to determine the effect of the variable availability of sports literature on satisfaction, the effect of library service quality on satisfaction, the effect of satisfaction on the learning motivation. It investigates the direct and indirect effect of the variable availability of sports literature on learning motivation through satisfaction and figuring out the effect of the quality of library services on the learning motivation through satisfaction. The research population was the students from the Department of Sports Sciences, Faculty of Sports and Health Sciences, Class of 2022. The research sample was 151 students taken by using simple random sampling. The data collection used a questionnaire with alternative answers using a numerical rating scale. The validity test of the instrument was done by using product moment correlation while testing the reliability of the instrument used Cronbach's Alpha. This research was an explanatory study intended to explain the effect between variables. It was conducted at Yogyakarta State University Library from August to September 2023. The results of this research show that (1) there is an effect of the availability of sports literature towards the satisfaction with a regression coefficient value of 0.368 t count at 3.872 with a significance or p-value of 0.000; (2) There is an effect of library service quality towards satisfaction with a regression coefficient value of 0.451; t count at 4.713 with significance or p-value 0.000; (3) There is an effect of satisfaction towards the students learning motivation with a regression coefficient of 0.273; t count at 3.932 with significance or p-value 0.000; (4) There is a direct and indirect effect of the availability of sports literature towards the learning motivation through the satisfaction variable with a regression coefficient value of 0.241; t count at 2.857 with significance or p-value 0.005; and (5) there is a direct and indirect effect of the quality of library services towards the learning motivation through the satisfaction variable with a regression coefficient value of 0.273; t count at 2.858 with a significance or p-value of 0.005.
Comparative analysis of the secure communication schemes based on the generators of hyperbolic strange attractor and strange nonchaotic attractor

The purpose of this work is to analyse qualitative features of the information transmission process via several communication schemes based on the synchronization of transmitter and receiver, both being complex signal generators. For this purpose generators of the hyperbolic chaos and generators with the strange nonchaotic attractor are employed. Evaluation of advantages and disadvantages of such schemes is made comparing themselves with each other as well as with schemes based on the nonhyperbolic chaotic generators. Methods. The power spectra and the distributions of the largest finite-time Lyapunov exponent are used to confirm the complexity of the dynamics of the generators in use and to verify the wide-bandness, robustness and stochasticity of their signals. Confidentiality of the informational signal transmission is achieved using its nonlinear mixing to the dynamics of the transmitter. The special phase mixing is used since the model generators employed for the research demonstrate nontrivial dynamics for the angular variable — oscillations phase shift. The digital image is used as an information for transmission. Visual control during the transmission process allows to carry out the qualitative analysis of the success of the signal coding and its detecting by the receiver. Results. Successful transmission and decoding of information for all schemes under investigation are demonstrated for the case of identical transmitter and receiver. Parameter detuning of these generators leads to difficulties in separation of the informational signal from the chaotic/complex carrier due to loss of the full synchronization. For the nonhyperbolic chaos detuning of the parameter responsible for the amplitude of the signal leads to the bad quality of the detection while frequency detuning makes detection absolutely impossible. Schemes with the hyperbolic chaos and strange nonchaotic dynamics appear to demonstrate much better results. The information detection is much better in this case because of the robustness of the generalized synchronization. Conclusion. Robust chaotic and complex nonchaotic generators appear to have significant advantages for communication systems comparing to the chaotic generators of nonhyperbolic type.
AI and the Algorithmic-Turn in Journalism Practice in Eastern Africa: Perceptions, Practice and Challenges

In the current post-human society, artificial intelligence (AI) and algorithms are rapidly being deployed in newsrooms around the world to enhance processes of news idea conception, newsgathering, writing, packaging and dissemination. Although AI adaptation has been ongoing especially in Western Newsrooms over the last decade, this process is only budding in sub-Saharan newsroom contexts. This study explores perceptions, use, prospects and challenges in the adaptation of AI and algorithms in newsrooms. This qualitative survey draws insights from 33 respondents from newspapers, radio stations, online media and community media in Uganda, Tanzania, Rwanda and Ethiopia. The study found varied levels of AI adoption in several newsrooms with some newsrooms not yet using AI while others were fully experimenting with a variety of tools, functionalities – even producing their own AI tools and also in change employment patterns to accommodate the skills needed within this new field. In some of the ‘inactive AI newsrooms’ individual journalists took the onus on themselves to learn and use the disruptive technologies and while the general attitudes towards AI were positive among journalists, the attitudes among management was generally considered poor. The study concludes for the benefits to be maximally leveraged, several of the bottlenecks in application must be addressed. These include the integration of ‘humans-in the loop’, journalistic principles, decolonial and local contextual perspectives in AI development and use. Such perspectives and synergies would need to be drawn from media ecosystems – including journalism education, research, policy, industry and developers.
Information Transmission in a Quantum Channel

Currently, quantum key generation systems are considered as the basis of quantum telecommunications using quantum cryptography. At the same time, concepts are substituted: such a system simply generates the same binary code on two sides of the quantum channel and does not allow data to be transmitted as in the communication channel. In the future, such a key is used by a classical cryptographic system in a conventional communication channel. The low rate of generation of a quantum key requires its accumulation, which deprives this key of authentication – as soon as once it is presented as a file, it can be replaced. Nevertheless, the steady increase in the generation rate makes it possible to use a quantum key for direct secure transmission of information in a quantum channel «bit to bit» with any quantum protocol and physical implementation. The method of such transfer is discussed in this article.
Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach

Cloud Technology is a new platform that offers on-demand computing Peripheral such as storage, processing power, and other computer system resources. It is also referred to as a system that will let the consumers utilize computational resources like databases, servers, storage, and intelligence over the Internet. In a cloud network, load balancing is the process of dividing network traffic among a cluster of available servers to increase efficiency. It is also known as a server pool or server farm. When a single node is overwhelmed, balancing the workload is needed to manage unpredictable workflows. The load balancer sends the load to another free node in this case. We focus on the Balancing of workflows with the proposed approach, and we present a novel method to balance the load that manages the dynamic scheduling process. One of the preexisting load balancing techniques is considered, however it is somewhat modified to fit the scenario at hand. Depending on the experimentation’s findings, it is concluded that this suggested approach improves load balancing consistency, response time, and throughput by 6%.
Ready or Not

Abstract Debates about the best means of preparing archaeologists continue. This article reviews data from 674 archaeological job postings to assess in-demand archaeological knowledge, skills, and abilities. The needs assessment reveals American archaeology's demand for dynamic, highly skilled professionals capable of identifying, preserving, and protecting the past. The skills demanded in archaeology job postings are the skills necessary to not only succeed as an archaeologist in any sector but also meet the challenges faced by the discipline more generally.
PoIR: A Node Selection Mechanism in Reputation-Based Blockchain Consensus Using Bidirectional LSTM Regression Model

This research presents a reputation-based blockchain consensus mechanism called Proof of Intelligent Reputation (PoIR) as an alternative to traditional Proof of Work (PoW). PoIR addresses the limitations of existing reputation-based consensus mechanisms by proposing a more decentralized and fair node selection process. The proposed PoIR consensus combines Bidirectional Long Short-Term Memory (BiLSTM) with the Network Entity Reputation Database (NERD) to generate reputation scores for network entities and select authoritative nodes. NERD records network entity profiles based on various sources, i.e., Warden, Blacklists, DShield, AlienVault Open Threat Exchange (OTX), and MISP (Malware Information Sharing Platform). It summarizes these profile records into a reputation score value. The PoIR consensus mechanism utilizes these reputation scores to select authoritative nodes. The evaluation demonstrates that PoIR exhibits higher centralization resistance than PoS and PoW. Authoritative nodes were selected fairly during the 1000-block proposal round, ensuring a more decentralized blockchain ecosystem. In contrast, malicious nodes successfully monopolized 58% and 32% of transaction processes in PoS and PoW, respectively, but failed to do so in PoIR. The findings also indicate that PoIR offers efficient transaction times of 12 s, outperforms reputation-based consensus such as PoW, and is comparable to reputation-based consensus such as PoS. Furthermore, the model evaluation shows that BiLSTM outperforms other Recurrent Neural Network models, i.e., BiGRU (Bidirectional Gated Recurrent Unit), UniLSTM (Unidirectional Long Short-Term Memory), and UniGRU (Unidirectional Gated Recurrent Unit) with 0.022 Root Mean Squared Error (RMSE). This study concludes that the PoIR consensus mechanism is more resistant to centralization than PoS and PoW. Integrating BiLSTM and NERD enhances the fairness and efficiency of blockchain applications.
Risk Factors Affecting Students’ Safety In Cebu Technological University- Daanbantayan, Tabogon Extension Campus A.Y. 2022-2023

This study aimed to assess the impact of risk factors on student safety at Cebu Technological University - Daanbantayan Campus, Tabogon Extension. The research, conducted during the Academic Year 2022-2023, holds significance for students, parents, and instructors as it sheds light on how these risk factors influence student safety. The study involved two key variables: the independent variable, which represents the risk factors, and the dependent variable, denoting student safety. The respondents comprised randomly selected students enrolled during the specified academic year, and data were collected using questionnaires. Upon analysis, the study revealed a strong negative correlation (r = -1.8551) between risk factors and students' safety, signifying that risk factors have a substantial adverse impact on safety. Consequently, the null hypothesis (Ho) asserting no significant correlation between risk factors and student safety was rejected in favor of the alternative hypothesis (Ha). In conclusion, this research established that risk factors do indeed affect student safety at CTU - Daanbantayan Campus, Tabogon Extension. To address these issues, it is recommended to conduct seminars aimed at mitigating safety risks within educational institutions.
An AI-Based Medical Chatbot

This medical chatbot has the potential help by allowing patients to receive. Support without having to physically visit the hospital for this process we use. Hence artificial intelligence -based application for the needed treatment. This chatbot works like virtual doctor based on NLP to provide primary healthcare, education information and Suggestion to the user. These medical chatbots connect with potential patient visiting the web app. helping them discover Specialist, booking the appointments &amp; getting them access to correct treatment. This Medical chatbot model Uses Natural language processing technique to process &amp; analyse the data &amp; the medical chatbot give output related health issues and to prevent the disease in appropriate manner to the user. The main goal of medical chatbot project is to appearance how we can to briefly promote chatbots in the medical sector &amp; infectious diseases. Medical chatbots are designed to assist patients and avoid issues that may arises during daily life and normal business hours, and with 24/7 accessability patient have immediate access to medical chatbot assistance whenever they need.
A Statistical Analysis of Credit and Debit Card Usage Patterns

This analysis deals with finding relation between encountering credit and debit card frauds and different age groups, gender, area of residence, monthly income, credit card limit and several other factors. It also involves fitting a prediction model on the credit card usage pattern of individuals. It includes studying a times series model for credit and debit card usage over the last decade and developing a forecasting model to predict the forecast using the previous data available.
The Role of Foreign Direct Investment on Economic Growth in Tanzania: Empirical Evidence from Emerging Sectors

The study analyzed whether foreign direct investment in emerging sectors (“transport and storage”, “Real estate”, “information and communication” and “Electricity and gas”) can influence economic growth in Tanzania. In order to analyze time series data from 1999 to 2020, the study employed dickey-fuller and Philips peron tests for stationarity, ARDL bound test for co-integration, Auto Regressive Distributed Lag (ARDL) model to estimates long run relationship and then diagnostic tests were applied to check validity and reliability of variables. The study revealed among sectors under study FDI inflow in transport and storage sector contribute positively to economic growth while FDI inflow to other sectors have insignificant impact to economic growth. Thus, in order to combat such outcomes, the government is advised to attract more foreign investment to the sectors with undesirable impacts with productive strategies in order to improve sectors performance on economic growth through establishment of favorable investment policies to create conducive investment environment.
Lithological Discrimination And Mapping Using Aster Swir Data In The Tundi Area, Jharkhand

ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) multispectral data is utilized in mineralogical and lithological mapping along with alteration zone mapping. The present study is carried out using ASTER data, which has shown the effectiveness SWIR spectral bands of ASTER data in lithological mapping. Field validation is carried out in the areas where lithological updation was expected from the sspectral analysis. From the band ratios, argillic, ferric, phyllic and propylytic alteration zones were demarcated. Thus, ASTER SWIR bands coupled with the advanced image enhancement techniques are recommended as a rapid and cost effective tool for lithological discrimination and mapping in the hostile terrain of Dhanbad and other geological areas.
ON INTERFERENCE IN THE FORMATION OF PLURAL FORMS IN THE RUSSIAN SPEECH OF ITALIANS

The article is about the observation of the interfering influence of the Italian language on the formation of plural forms in the Russian speech of Italians, which can lead to the erroneous formation of plural forms from the Russian words singularia tantum. The purpose of this study is to establish the main linguistic causes existing in the Russian and Italian languages, which are the basis for the occurrence or absence of such type of interference and related errors; which, in turn, allows us to understand the nature of errors in the speech of non-native speakers. The research was conducted on the material of authentic translated texts written by Italians for educational and other purposes. The relevance of the topic is due, on the one hand, to the frequency of the formation of plural forms from the words singularia tantum in the Russian speech of Italians; on the other hand, the need for a clear understanding of the linguistic nature of such errors. It is important to emphasize the unsystematic nature of the formation of number forms in nouns in Russian and Italian, as well as the unsystematic nature of grammatical litters describing the category of numbers in bilingual and explanatory dictionaries, which creates a significant methodological difficulty.