Reviewerly/exHarmony huggingface dataset:
APPLICATION OF THE CASE METHOD IN THE PROCESS OF STUDYING THE COURSE “METHODS OF MATHEMATICAL PHYSICS”

The article considers the use of case-study method while studying of the topic “Equations with partial derivatives of the hyperbolic type” from the course “Methods of mathematical physics”. The requirements for the educational institutions are outlined in accordance with the concept of mathematical education in Ukraine. The emphasis is placed on the system-activity approach to the learning process. Attention is focused on the necessity to use the method of problem-based learning and one of its forms – the case method. There has been analyzed the concept of a case. There have been described the advantages of the case-study method and the system of requirements for it. There has been revealed the importance of choosing the topic “Equations with partial derivatives of the hyperbolic type” related to its applied nature. The article demonstrates the main stages of the research work of students of the Faculty of Physics and Mathematics in establishing the minimum conditions for the solvability of a mixed problem for a linear homogeneous hyperbolic equation. The paper also identifies and characterizes the main groups of results to be processed. The investigation indicates the selection criteria that help to establish the minimum conditions for the existence of a solution of a mixed problem for a linear homogeneous hyperbolic equation. The results of the research are presented in the form of a table. The research presents the main statements recognized as the best conditions corresponding to the set goal of the study. The originality of the method of proving statements and the skillful combination of two important topics of the course “Methods of mathematical physics” – “Equations with partial derivatives of the hyperbolic type” and “Integral equations” are noted. Application of the case-study method makes it possible to activate the learning process, to form positive motivation and to renew the creative potential of teachers. Proven research work within the course “Methods of mathematical physics” provides a solid basis for using the case method in the further professional activities of teachers. Along with this, the theoretical and methodical preparation of case technologies in institutions of higher education requires further improvement.
GRAPH NEURAL NETWORKS FOR LINK PREDICTION IN DYNAMIC KNOWLEDGE GRAPHS

Dynamic knowledge graphs, which capture evolving relationships among entities over time, are becoming increasingly important in various domains such as social networks, recommendation systems, finance domain and biomedical research. This research paper investigates the effectiveness of Graph Neural Networks (GNNs) for link prediction in dynamic knowledge graphs. By leveraging the temporal dynamics of the graph, we propose novel GNN architectures and evaluate their performance against state-of- the-art methods on real-world datasets. The results demonstrate the capability of GNNs to effectively capture evolving relationships and make accurate predictions in dynamic knowledge graphs, providing valuable insights for applications in various domains. Keywords—Graph Neural Networks,Temporal Dynamics,Deep learning,DeepLearning,Link Prediction
Kesulitan Mahasiswa dalam Mempelajari Bahasa Inggris dan Faktor yang Mempengaruhinya

The purpose of the research is to find out the factors caused students’ difficulties in Learning English among students of Ushuluddin and Adab Faculty of Universitas Islam Negeri Sultan Maulana Hasanuddin Banten. The research has 66 students as sample of the research. The technique of data analysis used SPSS multiple linear regression analysis. The results of the research showed that learning motivation had a positive and significant effect on English language skills and the college environment had a positive effect but not really significant on the English skills of students at Ushuluddin and Adab Faculty of Universitas Islam Negeri Sultan Maulana Hasanuddin Banten. The variable ability of Learning Motivation (X1) and College Environment (X2) explaining the independent variable, namely the ability to speak English is 40.3% and the remaining 59.7% is influenced by other variable not included on the research
Information Behavior of Umsida Students on Social Media

ABSTRACT Social media is an integral part of student life, given its enormous use as a source of information. This study examines student behavior in interacting with information using the Wilson (2000) behavioral model. This research was conducted at Universitas Muhammadiyah Sidoarjo by using a descriptive qualitative method, namely by explaining the student information behavior at Universitas Muhammadiyah Sidoarjo. Analysis of information behavior begins with an analysis of information needs. The main drivers for the creation of information needs are personal motives, namely cognitive and affective, as well as relational motives. In cognitive-based motivation, social media is used to increase knowledge which can improve self persona, both appearance and skills. The affective-based motivation is the need for sources of entertainment. Social media becoming a tool for students to express and establish their social relationship, to build an image, connecting themselves and to be a part of a group. The search for information is active, because social media provides a variety of interconnected platforms, so that information can be displayed in detail and clearly. The behavior of information utilization by students of Universitas Muhammadiyah Sidoarjo also shows their awareness of the information quality, so that a verification process is implemented to test the information accuracy. PERILAKU INFORMASI MAHASISWA UMSIDA DI MEDIA SOSIAL ABSTRAK Pemanfaatan media sosial sebagai sumber informasi semakin jamak dikalangan mahasiwa sehingga kajian mengenai perilaku informasi di media perlu dilakukan agar kita memperoleh gambaran pasti bagaimana informasi dibutuhkan, dicari, diolah dan dimanfaatkan. Penelitian ini menunjukkan bahwa perilaku pencarian informasi muncul karena dorongan kebutuhan yang disebabkan oleh motif personal dan relasi sosial. Pada motif personal, informasi diperlukan untuk meningkatkan ketrampilan, memperbaiki penampilan, menunjang kegiatan akademik dan bisnis hingga memenuhi tuntutan hobi. Adapun relasi sosial, informasi diperlukan untuk menunjukkan identitas diri, membangun citra, membangun dan mengembangkan hubungan serta menjadi bagian dari komunitas yang diikuti. Pencarian informasi lebih mengarah pada pencarian secara aktif dengan menggali informasi lebih dalam dari berbagai macam sumber di media sosial untuk mendapatkan informasi secara cepat dan akurat. Verifikasi informasi menjadi bagian penting yang selalu dilakukan mahasiswa UMSIDA sebelum informasi yang didapat tersebut dimanfaatkan dan dibagikan dengan cara melihat keterbaruan isu, asal sumber informasi, dan tingkat akurasi berita.
Designing a Web-Based Raw Material Purchase Accounting Information System

Kerupuk Pangsit Adem Ayem is one of the manufacturing companies engaged in snacks. To meet the inventory, the company must make purchases of raw materials. Purchasing is a continuous activity for the company and is the main proposal in production. The design of an accounting information system for purchasing raw materials on Kerupuk Pangsit Adem Ayem can facilitate the process of purchasing raw materials via the web and can produce financial report information easily and quickly. The system design method used in this study used survey methods and descriptive methods. The data collected in conducting this study is in the form of qualitative data. The raw material purchase accounting information system can be used as a means of facilitating the determination of raw material purchases for production and financial reporting in the form of reports on cost of goods produced, so that the information produced is more precise and accurate.
Utilization of Stabilizer Technology in Lights for Motorcycle

The purpose of this research is to design a tool to solve a problem where motorcyclists are often distracted by other motorcyclists' lights that go directly to the face/eyes so, that it can result in disruption of visibility at night which is not uncommon to cause accidents. The usual stabilizer consists of 2 servos that are used to move objects vertically and horizontally which are used to stabilize the movement of objects or to direct objects to the desired position such as an optical stabilizer on a cellphone camera or like a CCTV camera that can adjust the direction of the camera's view, stabilizer can also be applied to LED lights or flashlights that are used to direct the lights to the desired position, so if the tool is applied to motorcycle spotlights it can prevent the lights from pointing to the faces of other riders by adjusting the position of the spotlights. The method used in this research is an experimental research method where we will test this stabilizer in several road conditions such as inclines, derivatives, turns, and so on. After that we will compare the results of applying stabilizer technology to motorcycle lights and without using a stabilizer, whether using a stabilizer will reduce the impact of spotlights that directly hit the face/eyes which can interfere with vision or not. The results show that the application of a stabilizer on a motorcycle can reduce the impact of spotlights that directly hit the face/eyes. This is because the stabilizer can adjust the tilt angle of the lamp automatically so that the lamp lighting remains facing the road. So, it can be concluded that the stabilizer on the motorcycle lights can reduce the impact of spotlights that directly hit the face/eyes resulting in impaired vision of other motorists. This research is expected to create a useful tool for motorcyclists to prevent unwanted things from happening.
Image noise removal method based on nonconvex total generalized variation and primal-dual algorithm

In various applications, i. e., astronomical imaging, electron microscopy, and tomography, images are often damaged by Poisson noise.At the same time, the thermal motion leads to Gaussian noise.Therefore, in such applications, the image is usually corrupted by mixed Poisson -Gaussian noise.In this paper, we propose a novel method for recovering images corrupted by mixed Poisson -Gaussian noise.In the proposed method, we develop a total variation-based model connected with the nonconvex function and the total generalized variation regularization, which overcomes the staircase artifacts and maintains neat edges.Numerically, we employ the primal-dual method combined with the classical iteratively reweighted l 1 algorithm to solve our minimization problem.Experimental results are provided to demonstrate the superiority of our proposed model and algorithm for mixed Poisson -Gaussian removal to state-of-the-art numerical methods.
Adaptive Energy-Optimized Consolidation Algorithm

We have been hearing about cloud computing for quite a long time now. This type of computing is booming and emerging as a popular computing paradigm for its scalability and flexibility in nature. Cloud computing provides the provision of service on-demand, on-demand resources supply and services to end-users. However, energy consumption and energy wastage are becoming a major concern for cloud providers due to its direct impression on costs required for operations and carbon emissions. To tackle this issue, Adaptive Energy-Optimized Consolidation Algorithm has been proposed to efficiently manage energy consumption in cloud environments. This algorithm involves sharing by dividing, in this process resource allocation is done into two different phases, those are, consolidation of tasks and consolidation of resources. Compared to single-task consolidation algorithms, the proposed two-phase Adaptive energy optimized consolidation algorithm shows improved performance in terms of energy efficiency and resource utilization. The results of experiments conducted using a cloud-sim show the effectiveness of the proposed algorithm in decreasing energy consumption while maintaining the quality-of-service requirements of computing in cloud. &#x0D; The need for an hour is to automate things without human intervention. Thus, using Autonomous computing refers to a type of computing system that is capable of performing tasks and making decisions without the intervention of humans. This type of system typically relies on Artificial.Intelligence, Machine.Learning, and other futuristic technologies to study the data, identify patterns, and make decisions based on that data. Cloud computing can certainly be incorporated into an autonomous computing system. The performance of an automated computing environment depends on a various factor, considering the quality of the different algorithms used, also the amount and quality of various data available to the system, the computational resources available, and the system's ability to learn and adapt over time. However, by incorporating cloud computing, an autonomous computing system can potentially access more resources and process data more quickly, which can improve its overall performance.
Malarial Diagnosis with Deep Learning and Image Processing Approaches

Malaria is a mosquito-borne disease that has killed an estimated a half-a-million people worldwide since 2000. It may be time consuming and costly to conduct thorough laboratory testing for malaria, and it also requires the skills of trained laboratory personnel. Additionally, human analysis might make mistakes. Integrating denoising and image segmentation techniques with Generative Adversarial Network (GAN) as a data augmentation technique can enhance the performance of diagnosis. Various deep learning models, such as CNN, ResNet50, and VGG19, for recognising the Plasmodium parasite in thick blood smear images have been used. The experimental results indicate that the VGG19 model performed best by achieving 98.46% compared to other approaches. This study demonstrates the potential of artificial intelligence to improve the speed and precision of pathogen detection which is more effective than manual analysis.
Assessing the adaptive management process in SMART sites: Lessons learned

The effective management of protected and conserved areas is crucial to the preservation of much of the world's biodiversity.The Spatial Monitoring and Reporting Tool (SMART) is one of the world's most utilised protected and conserved area management tools, used to inform research, tourism management, natural resources use, intelligence, threat analyses, and more.Through surveying staff at 49 protected and conserved areas across 14 countries, we examine how SMART is being implemented in terms of eight key factors in data management and decision-making.Results indicate room for improvement in all aspects of the adaptive process, particularly relating to the planning of systematic patrols as well as the role of management in the adaptive process.Additionally, many sites provide low levels of training and suffer from insufficient staffing.This information will help develop guidance on what is required by protected and conserved areas for the effective implementation of SMART.
Pengaruh Pembelajaran E-Learning dan Pemberian Tugas Terstruktur Terhadap Hasil Belajar Sejarah

This study aims to analyze the significance of the effect of e-learning and the provision of structured assignments partially and jointly on the learning outcomes of History. This research method uses correlational quantitative research with 2 independent variables and 1 dependent variable. Total population of 107 students and a sample of 33 students. The results of the research show that the instruments used are valid and reliable. The data used for data analysis has fulfilled the classical assumption test. The t test results obtained the regression equation: Y = 1.643 + 0.754 X1 + 0.259 X2 + e. The results of the t test for the e-learning learning variable show a value of t = 8.731 with a significant value of 0.000 &lt; 0.05 while for the structured assignment variable it shows a value of t = 3.264 with a significant value of 0.003 &lt; 0.05, which means e-learning learning and giving Partially structured assignments have a significant effect on learning outcomes History. The results of the F test for the simultaneous regression test obtained a value of F = 132.638 with a significant value of 0.000 &lt; 0.05, which means that the effect of e-learning learning and giving structured assignments together has a significant influence on learning outcomes History. The results of the determination test (R2) obtained the value of Adjusted R Square = 0.948, which means that the influence of the independent variables on students is 94.8% while 5.2% is influenced by other variables.
APLIKASI BACA BUKU UNTUK TUNANETRA LOW VISION MENGGUNAKAN OPTICAL CHARACTER RECOGNITION DAN TEXT TO SPEECH

Based on data from the Ministry of Social Affairs for 2022, the total number of blind people is 11,368 and low vision is 6,818 with a total of 18,186 blind people in Indonesia. As many as 21.9% of the total number of persons with disabilities are persons with disabilities who are in the effective period of obtaining proper education. On the other hand, educational facilities and infrastructure are not fully friendly to persons with disabilities. The Center for Development and Empowerment of Kindergarten and Special Education Educators and Education Personnel (PPPPTK and PLB), which is under the Ministry of Education and Culture, Research and Technology, recommends the use of assistive devices to help students who have visual impairments. Responding to these challenges, this application was developed to help read books or print media. The results of testing this application are easy to use because it has a simple appearance and there is an audio guide. It was found that the development of this innovative product is a user-friendly assistive application for the blind with the main features of Audio Guide Assistance, Auto Capture, Image to Speech, Audio book and Multiple Audio-page Grouping.&#x0D;
Analysis of China’s higher education digitalization strategies

For the successful fulfillment of the great rejuvenation of the Chinese nation, the digitization of higher education is of particular relevance. This article explains its study worth from the three perspectives of moral composition: quality education, and education ecology, starting from the level of higher education’s digitalization to the national and higher education itself. The steps to be taken for the further digital transformation of higher education will be considered along with the direction and goals of future development. In order to ensure the high development of talents, understand the consequences of the digital age, three new ways for high-end Information Technology to rise to a high level of talent quality education can be explored: promoting the exchange of high-quality resources, reforming training in education sector, and creating a new intellectual educational environment. The transition of higher education to the digital model is a complex, systematic effort that faces new opportunities and obstacles. To achieve comprehensive success, it is important to produce, learn, and conduct scientific research, and put into practice the use of multi-party involvement, methodical planning, collaboration, reform, and innovation.
THE IMPACT OF DOMESTIC SAVING AND FOREIGN DIRECT INVESTMENT ON ECONOMIC GROWTH EMPRICAL STUDY IN CASE OF YEMEN (1990-2012)

Purpose- This research essentially aims to investigate the impacts of domestic saving (DS) and foreign direct investment (FDI) on economic growth in the Republic of Yemen since Yemeni reunification in 1990 using data during the period 1990-2013. This research was designed as a quantitative study and descriptive analytical method was followed. Design/methodology/approach-) Secondary data was used to measure the variables to specify the effects of independent variables on the dependent variable. Data was collected from various internal and external resources. The collected data were analyzed by using eviews statistical package version 7 to explain the results of data. The analysis firstly tests unit roots for the DS, FDI and GDP by using Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests. Secondly assesses the equilibrium relationship between GDP and its probable determinants of DS and FDI through applying Johansen and Juselius (1990) tests finally determine the causality direction between the variables employed Granger-causality tests. Findings The study results indicate that there is long run relationship between domestic savings and foreign direct investments with real income growth in Yemen. Foreign direct investment has statistical, significant, and inelastic effect on real income (-0.299) while domestic savings are not statistically significant in the long term coefficients. Error correction model exposes that Yemeni real income converges to its long term equilibrium level reasonably low at -0.01884% by the foreign direct investment and domestic savings contributions; however, this coefficient is statistically significant. Lastly, Granger causality tests illustrate that there is a bidirectional relationship between DS, FDI and economic growth. Savings is driven force but foreign direct investments are output. If savings and income increase, the foreign direct investments were attracted more. Also, this study has confirmed that saving is an income driven in Yemen. Limitation of Study: That there is no accurate information about the previous years before the unity. So that the researcher ignores that information and start from unity country generated. Another limitation, is that focus only on Yemeni economy and the around circumstances with no concentrate on international variables because There is no significant impact on world economy as a result of economic fluctuation in Yemen. Also this research aims to study how to develop investment climate in Yemen as well as attract new FDI to Yemen.
The meaning distributions on different levels of granularity

The meaning distributions of certain linguistic forms generally follow a Zipfian distribution. However, since the meanings can be observed and classified on different levels of granularity, it is thus interesting to ask whether their distributions on different levels can be fitted by the same model and whether the parameters are the same. In this study, we investigate three quasi-prepositions in Shanghainese, a dialect of Wu Chinese, and test whether the meaning distributions on two levels of granularity can be fitted by the same model and whether the parameters are close. The results first show that the three models proposed by modern quantitative linguists can both achieve a good fit for all cases, while both the exponential (EXP) model and the right-truncated negative binomial (RTBN) models behave better than the modified right-truncated Zipf-Alekseev distribution (MRTZA), in terms of the consistency of the goodness of fit, parameter change, rationality, and simplicity. Second, the parameters of the distributions on the two levels and the curves are not exactly the same or even close to each other. This has supported a weak view of the concept of ‘scaling’ in complex sciences. Finally, differences are found to lie between the distributions on the two levels. The fine-grained meaning distributions are more right-skewed and more non-linear. This is attributed to the openness of the categories of systems. The finer semantic differentiation behaves like systems with open set of categories, while the coarse-grained meaning distribution resembles those having a close set of few categories.