Reviewerly/exHarmony huggingface dataset:
Diaspora Remittances-Stock Market Development: An Inclusive Framework for Zimbabwe

This study sought to determine an inclusive framework for diaspora remittances growth and stock market development. Stock market plays an important role in economic development and growth by creating liquidity and allocation of resources to deficit sectors of the economy. The study used the ARDL-ECM in the determination of the relationship between the two variables, using data for the period 1990 to 2020. Eviews Version 9.0 Statistical Package was used to run the regressions. This study found that Diaspora Remittances have an insignificant negative relationship with Stock Market Development for Zimbabwe. This may have been due to Diaspora Remittances flowing through informal channels and, therefore, may have not be tapped on for Stock Market Development. The study recommend an inclusive framework that allows the government to take measures to boost investor confidence, to encourage the diaspora population to invest more in Zimbabwe through elimination of corruption, having stable political environment, formulation of policies that ensures stability in the macroeconomic environment, and having the right governance systems. Encouraging campaigns which must be run by the government and nongovernmental organizations educating Zimbabweans in the diaspora of the benefits of investing home. Allowing the government to set up formal diaspora remitting channels which have minimal charges to encourage more remittances to flow through the channels. Government must also offer favourable interest rates on bond holders so as to lure those in the diaspora to invest in the stock market.
SPS volume 22 issue 2 Cover and Front matter

welcomes stimulating original articles that draw upon contemporary policy-related research and associated developments in the social sciences at the national, regional and international level.The journal welcomes scholarly papers -both theoretical and empirical -which analyse any aspect of social policy and its relationships with society from different angles.Contributions on teaching and learning issues within the discipline are also welcome.Each issue contains stand-alone peer reviewed articles and, uniquely, a themed section, edited by a Guest Editor(s).Every themed section includes an introductory piece, a set of peer reviewed articles, a selected review of the key literature, plus a guide to key sources in the area.
A RESEARCH PAPER ON STUDY OF EFFECT OF CRYPTOCURRENCY ON INDIAN ECONOMY

Cryptocurrency is an innovative concept of virtual and decentralized currency which has become the new investment option like gold in India.Since there is a lack of a regulatory framework or law about cryptocurrency transactions and trading in India, the buying and selling of Bitcoin, Bitcoin, Ethereum, and other cryptocurrencies are restricted by the government.There are several restrictions on the existence of cryptocurrencies in India.This study is based on understanding cryptocurrency and its effect on the economy.The study is also based on existing scenarios and future prospects.With the rapid growth of information and communication technologies, a lot of daily activities have been digitised and become more time-saving and flexible.A lot of online users have switched to the virtual world and cryptocurrency has created a new business phenomenon to promote buying, trading, and selling digital assets.Cryptocurrency represents intangible and valuable objects used online in various networks and applications like online games, social networks, P2P networks, and virtual worlds.Virtual currency has been used widely in different systems over the years.
A STUDY OF BLOCKCHAIN AND ITS IMPACT ON INTERNATIONAL MARKET

Purpose Blockchain technology has extended beyond the border of cryptocurrency and taken hold in various areas of international business.This study aims to analyse the impacts of blockchain on international business and the resulting challenges and implications for global governance.Design/methodology/approach the analysis of multiple blockchain applications in international finance, banking and insurance, supply chain management and logistics and marketing and advertising shows that the use of blockchain in international business has different impacts on global governance.Findings Although the protection of property rights can be improved and transaction costs can be reduced, the effects on other functions of global governance are more ambivalent.Research limitations/implications as a recommendation for future studies, the need for more multidisciplinary and empirical research is proposed.Practical implications as the technology disrupts business activities, it also affects the governance of these activities on a global scale.Suggestions for the future regulation of blockchain applications in international business are developed.Originality/value Blockchain technology has extended beyond the border of cryptocurrency and taken hold in various areas of international business.This study aims to analyse the impacts of blockchain on international business and the resulting challenges and implications for global governance.
Network Planning at the Faculties of Physical Education and Sport in the Postmodern Era

The article aims to study the issues of university teachers and students from the faculties of physical education and sport to improve the educational process based on the principles of network planning. The article presents the results of the sociological questioning of the subjects of the educational process of physical education and sport faculties about the problems in the organization and planning of effective learning, as well as appropriate optimizing recommendations. A subject correlation matrix has been developed in the furtherance of this goal, in which each subject has a specific line and column. The analysis of the subjects’ matrix allows one to pre-determine the order of study of individual subjects in courses and cycles, their relationship and interframe sequence. Within the framework of the experiment, the authors of the article have surveyed 52 university teachers and 450 physical education students. The survey included questions relating to personal opinions about the advantages and disadvantages of the new curriculum and relevant programmes in 16 major subjects. Statistical data processing was carried out using the SPSS Statistics 17.0 software package. The recommended concentrated arrangement of the leading subjects of the biomedical cycle will allow one to create an interdisciplinary programme giving a complete vision of the structure, functions and biochemical processes occurring in various human body systems.
The Effects of the Online versus Face-to-face (F2F) Modes of Teaching on the Academic Achievement of EFL Learners in Writing Skills Courses

English as a Foreign Language (EFL) practitioners regard writing as one of the most innovative discrete skills to teach. Many researchers examined the writing difficulties of EFL students and provided resolutions and guidance. Although the viability of the planned objectives was re-examined before any conclusions were made. However, this research aimed to investigate the effect of online and face-to-face (F2F) teaching methods on students’ academic performance in writing skills. The participants, N=44, were divided into two groups A and B and belonged to the English department in the second semester at Najran University, Najran, KSA. The controlled group A received online instruction, whereas the experimental group B received face-to-face instruction. A quasi-experimental study design was employed using the pre-test and the post-test research instruments. A test was administered to two groups to measure their levels of homogeneity at the beginning of the semester. Another test was then administered to the same groups after the first semester of teaching. In order to analyze the data, the SPSS program was used. According to the results, the F2F intervention improved student performance over the online mode. The F2F mode of participation was more comfortable and engaging for participants than the online mode. Additionally, F2F discussion produced better writing performances from the students than online communication does. Thus, despite certain benefits associated with F2F learning, further research is required in order to fully understand how F2F teaching approaches affect English learners' academic achievement in writing.
Innovative Teaching Methods, Test and Evaluate Student Learning Outcomes

The assessment of students’ knowledge and skills plays a very important role, both as a driving force in the teaching process and as a help teachers to adjust teaching methods accordingly. fit. Moreover, the assessment helps students change their learning methods to match the form and test methods to achieve high results. General education is gradually changing its curriculum and teaching methods to meet the needs of the new era. However, in my opinion, the assessment is still subjective and inaccurate, so the training quality assessment is not effective, leading to many problems in enrollment at the university level equality and use of human resources for society in the future. For the above reasons, it is shown that changing a system of programs and teaching methods without changing the assessment system cannot achieve the desired goal.
Evaluation of Teachers Awareness Regarding Common Behavioral Problems among School Age Children in Shendi Town (Ashagalwa Village)

Background: One of the most challenging aspects of teaching is dealing with students' behavioral issues because they interfere with lessons and produce an unsuitable learning environment. All students have a variety of emotional and personal struggles when they first enter school, which can make their behavior undesirable and challenging to change. Objectives: The main goal of this study to evaluate teachers awareness regarding common behavioral problems among school age children. Methods: Descriptive cross sectional community based study done to assess teachers awareness regarding Common behavioral Problems among school age Children in Al shaqalwa village during period extended from November to June 2022 , the enrolled (52) teachers through multi stage simple random sampling ,questionnaire use for data collection composed of (23) questions finally the data was analyzed by statistical package for social science (SPSS) version (21) then the data was represented in form tables and figures. Results: The result of the present study showed that more than half (55.8%) of study group had poor knowledge about behavioral Problems only (11.5%) of study group had good knowledge about the causes of behavioral Problems and (28.8%) of them had fair knowledge about the causes of behavioral Problems inside the School. Conclusion: The study concluded that studied teachers awareness regarding common behavior problems in (55.8%) was poor also (17%) fair about causes of behavioral problem and only (7.7%) had was good awareness regarding dealing with difficult behavior.
Supercritical Fluids Conserved as Fluid and Melt Inclusion in Quartz from the Sheba-Gold Mine, Barberton, South Africa

Aspects in Mining & Mineral Science Supercritical Fluids Conserved as Fluid and Melt Inclusion in Quartz from the Sheba-Gold Mine, Barberton, South Africa Rainer Thomas1*, Paul Davidson2, Adolf Rericha3 and Ulrich Recknagel4 1Im Waldwinkel 8 D-14662 Friesack, Germany 2Codes, Centre for Ore Deposits and Earth Sciences, University of Tasmania, Hobart 7001, Australia 3Alemannenstraße 4a, D-144612 Falkensee, Germany 4Böhmerwaldstraße 22, D-86529 Schrobenhausen, Germany *Corresponding author: Rainer Thomas, Im Waldwinkel 8 D-14662 Friesack, Germany Submission: February 01, 2023;Published: February 14, 2023 DOI: 10.31031/AMMS.2023.10.000750 ISSN 2578-0255Volume10 Issue5
Cooperative Node Selection and Resource Allocation for Search and Track Applications in Radar Network

This paper puts forward a cooperative node selection and resource allocation strategy for search and track applications in radar network. The strategy is proposed to minimize the total energy consumption for searching and multi-target tracking (MTT) tasks by optimizing radar node selection, dwell time and transmit power allocation of multiple radar nodes cooperatively, while satisfying the given search and track requirements and several system resource budgets. We utilize the detection probability as the metric for searching, and the predicted Bayesian Cramér-Rao lower bound (BCRLB) is derived as the criterion for MTT performance, which are both concerned as constraints in the optimization model. Subsequently, a two-step solution algorithm based on the interior point method and cyclic minimization framework is proposed to tackle the underlying optimization problem. Simulation results verify that the proposed strategy consumes the least energy while ensuring the specified search and track performance demands, when compared with other existing algorithms.
Multi-objective Task Assignment and Autonomous Approach Research Based on Multiple Unmanned Vehicles

To explore the decision optimization strategy of multiple unmanned ground vehicles (UGVs) for multi-objective tasks in a ground-air cross-domain collaborative unmanned system, a new four-stage multi-unmanned vehicles hybrid dynamic-static task assignment and autonomous approach architecture is proposed. A heuristic A* search algorithm is used to complete movement cost estimation among target points in the pre-task assignment phase. The task is modeled as a multiple traveling salesmen problem in the static assignment phase and a centralized genetic iterative optimization assignment scheme is designed. Distributed contract network mechanism is used in the dynamic allocation phase for collaborative allocation among UGVs for additional target points. In the task execution phase, a distributed local path planning control strategy for unmanned vehicles is proposed for obstacle avoidance and collision avoidance in the autonomous approach process. Validation tests were conducted based on three UGVs, and the results demonstrated the feasibility and real-time performance of multi-target tasking and autonomous approach architectures.
Gender Equality, Economic Growth and Poverty in Côte d’Ivoire: A Quantitative Analysis

In this paper, we develop a three-period gender-based Overlapping Generations (OLG) model of economic growth for Côte d’Ivoire by endogenizing life expectancy and linking growth and poverty. We then calibrate the model using the country-specific data to illustrate the role of public policies in the model, and its implications for long-term growth, gender equality, and poverty in Côte d’Ivoire. To this end, we discuss three sets of quantitative experiments: broad-based development policies (increase in education spending and infrastructure investment, and governance reform), gender-based policies (reduction in gender bias in the market place, increase in women’s bargaining power, and reduction in family bias against girls’ education), and a composite reform program (combination of pro-growth, pro-gender policies). Overall, our findings suggest that Côte d’Ivoire could achieve better growth and poverty outcomes if the country could implement a composite reform program that includes comprehensive development and gender-based policies.
Computer attack technology for gaining access based on remote implementation of a document template

The article examines the technology of a new type of attack using viruses that are remotely introduced into Microsoft Word document templates. Microsoft Word has a feature that allows the user to create a document with a template. Whenever a Word document with a template is written/read, those templates are downloaded/used from the local or remote machine. In this way, attackers can place a Word document template (.dotm) file with malicious macros on their servers. Every time a victim opens a Word document, the document receives a malicious template from the attacker's server and executes it. The attack algorithm and methods of countering such attacks have been studied.
Fundamentals of RESTful APIs

APIs are not new. They’ve served as interfaces that enable applications to communicate with each other for decades. But the role of APIs has changed dramatically in the last few years. Innovative companies have discovered that APIs can be used as an interface to the business, allowing them to monetize digital assets, extend their value proposition with partner-delivered capabilities, and connect to customers across channels and devices. When you create an API, you are allowing others within or outside of your organization to make use of your service or product to create new applications, attract customers, or expand their business. Internal APIs enhance the productivity of development teams by maximizing reusability and enforcing consistency in new applications. Public APIs can add value to your business by allowing third-party developers to enhance your services or bring their customers to you. As developers find new applications for your services and data, a network effect occurs, delivering significant bottom-line business impact. For example, Expedia opened up their travel booking services to partners through an API to launch the Expedia Affiliate Network, building a new revenue stream that now contributes $2B in annual revenue. Salesforce released APIs to enable partners to extend the capabilities of their platform and now generates half of their annual revenue through those APIs, which could be SOAP based (JAX-WS) and, more recently, RESTful (JAX-RS), Spring Boot, and now Micronaut.
Logical dependencies: Extraction from the versioning system and usage in key classes detection

The version control system of every software product can provide important information about how the system is connected. In this study, we first propose a language-independent method to collect and filter dependencies from the version control, and second, we use the results obtained in the first step to identify key classes from three software systems. To identify the key classes, we are using the dependencies extracted from the version control system together with dependencies from the source code, and also separate. Based on the results obtained we can say that compared with the results obtained by using only dependencies extracted from code, the mix between both types of dependencies provides small improvements. And, by using only dependencies from the version control system, we obtained results that did not surpass the results previously mentioned, but are still acceptable. We still consider this an important result because this might open an important opportunity for software systems that use dynamically typed languages such as JavaScript, Objective-C, Python, and Ruby, or systems that use multiple languages. These types of systems, for which the code dependencies are harder to obtain, can use the dependencies extracted from the version control to gain better knowledge about the system.
Talking Drums – A Study

Membranophones are one of the main divisions of Musical Instruments. They are further classified by many features. One such feature is shape and structure. Hour Glass Drums comes under this one. These are the ancient drums seen from early Times. They are called as Talking Drums in West Africa. In Talking drum pitch can be regulated according to the tone and prosody of human speech. Most of the talking drums sound like a human humming depending on the way they are played As they can change the pitch lower or higher it may be used for Music also. But there are many such Drums seen all over the World with similar shape,structure, mode of construction, playing techniques and so on. So they may also be called as Talking drums
Generative Model Watermarking Based on Human Visual System

Intellectual property protection of deep neural networks is receiving attention from more and more researchers, and the latest research applies model watermarking to generative models for image processing. However, the existing watermarking methods designed for generative models do not take into account the effects of different channels of sample images on watermarking. As a result, the watermarking performance is still limited. To tackle this problem, in this paper, we first analyze the effects of embedding watermark information on different channels. Then, based on the characteristics of human visual system (HVS), we introduce two HVS-based generative model watermarking methods, which are realized in RGB color space and YUV color space respectively. In RGB color space, the watermark is embedded into the R and B channels based on the fact that HVS is more sensitive to G channel. In YUV color space, the watermark is embedded into the DCT domain of U and V channels based on the fact that HVS is more sensitive to brightness changes. Experimental results demonstrate the effectiveness of the proposed work, which improves the fidelity of the model to be protected and has good universality compared with previous methods.
A Nonparametric Pooling Operator Capable of Texture Extraction

Much of Convolutional neural networks (CNNs)’s profound success lies in translation invariance. The other part lies in the almost infinite ways of arranging the layers of the neural network to make decisions in particular in computer vision problems, taking into account the whole image. This work proposes an alternative way to extend the pooling function, we named rank-order pooling, capable of extracting texture descriptors from images. Efforts to improve pooling layers or replace-add their functionality to other CNN layers is still an active area of research despite already a quite long history of architecture. Rank-order clustering is non-parametric, independent of geometric layout or image region sizes, and can therefore better tolerate rotations. Many related metrics are available for rank aggregation. In this article we present the properties of some of these metrics, their concordance indices and how they contribute to the efficiency of this new pooling operator.
Analytical solution of the envelope extraction problem using lensless technology

This paper presents the results of the analytical solution of the envelope extraction problem based on the use of the Hilbert transform to calculate the conjugate function concerning the known envelope at the output of a diffraction grating in a lensless camera. For simplicity, diffractions grating elements a limited number is assumed and the spectral density envelope at the sensor a 1D analysis is considered to determine the Hilbert-conjugate signal with the envelope subsequent calculation at the sensor output. The obtained results show that the found analytical expressions provide the Hilbert conjugate signal calculation with high accuracy.
BILANGAN DOMINASI-LOKASI HASIL KALI SISIR GRAF LINTASAN DENGAN BEBERAPA GRAF REGULER

To all the paper, all graph is connected, simple, undirected, and finite. A set vertex W of is called the domination set if every vertex for every is adjacent to some vertex The minimum cardinality of a location-dominated set is called the location-dominated number, which is denoted by λ(G). In this research, we observe to the comb product of a path graph to regular graphs. If noticed to the definition of a regular graph, then obtained a complete graph is graph with order . So in the results of this research we start by looking for the location-dominated number of the comb product of a path graph with a regular graph where the regular graph is a , end which each one has , , dan where order end .