Reviewerly/exHarmony huggingface dataset:
Development of Web-Based Network Automation Applications Using the Kano Method and Paramiko Library to Simplify the Configuration of Multivendor Network Devices at PT. Digital Vision Nusantara

Computer network is never separated with configuration which is the main task which has to be done in order to make it work. As we know, to configure some devices either server, switch, or router has several methods if we understand how we communicate with the system. Configuration on routers and switches is currently still conventionally done, which means that to configure routers or switches one by one. This is very inefficient, because if the routers and switches that you want to configure are carried out in hundreds or many routers, then the time required by a network administrator is very long. Therefore, network automation is needed which is a solution to perform these complex and repetitive tasks. This automation can help network administrators to configure networks with many devices at once and minimize errors that occur when configuring in a short time. Repetitive work such as configuration backups, configuration restores, and others can be automated. In this project create a web-based network administration automation application. For application development using the Kano method to identify application requirements, design, build and implement applications, this application utilizes the main library, namely paramiko as a liaison and network automation from servers to network devices using the SSHv2 protocol and the Django framework as a Web developers. For the tests carried out on the application using the Black-Box Testing method. The results of this project application can be used as network automation in terms of configuration of network devices such as router configuration, switch configuration, backup and restore configuration centrally so that they can be managed better. This research was conducted with the aim of knowing the category of each feature in a network automation application, the results of this study obtained priority ospf dynamic routing configuration features that entered Must be with a satisfaction level of 0.4285 if implemented and a disappointment level of -0.4285 if this feature not stated, while for the ip address configuration feature, and the On-Dimensional Login feature with a satisfaction level of 0.5713 and a disappointment level of -0.5713 if this feature is implemented, unlike the PIM routing feature configuration feature and the Indifferent configuration verification feature, which for this feature is not often used.
Penggunaan Deiksis pada Anak Usia 3-5Tahun di Pemukiman TPA Antang Makassar

This study aims to describe the use of persona deixis, place deixis, and time deixis in children aged 3-5 years in Antang Landfill Settlement Makassar. This type of research is qualitative research. The data in the research is in the form of oral speech data in the form of words, phrases, clauses or sentences contained in the speech of children aged 3-5 years. The data collection technique is done through listening techniques, recording techniques, note-taking techniques, and transliteration. The result of the study reveals that the use of deixis in children aged 3-5 years in Antang Makassar landfill settlement includes three types of deixis namely persona deixis, place deixis, and time deixis. The use of persona deixis in children aged 3-5 years in Antang Makassar landfill settlement found first person singular deixis in the form of the word "I", "-ku", (ka, ja) meaning "me" and first person plural deixis in the form of the word "we". The second person singular deixis is "you", (ko, ki) meaning "you". The third person singular deixis is the word (he, she, her). The use of place deixis of 3-5 years old children in Antang Makassar landfill settlement is (here, there, above, there, here, there, this, that, di-, ke-). The use of time deixis of 3-5 years old children in Antang Makassar landfill settlement is (briefly, first, tomorrow, earlier, yesterday).
Dinamika Layanan Perpustakaan di Era Digitalisasi

The existence of a library is essential in maintaining consistent implementation of policies in the education sector. Libraries as facilities and infrastructure for serving literature needs and learning processes to support the nation's intelligent life process. In the current era of digitalization, as a form of progress in information and technology, it has made it easy for readers to search for knowledge quickly. The need for reading sources and literature can be obtained in an instant without leaving the place at the same time. With the easy accessibility of information, data, recordings or perhaps books created by humans digitally, libraries are increasingly becoming a means of obtaining information. When people search for information or knowledge in digital records, the library function is running. Users who obtain information, knowledge and knowledge online require integration and simplification so that users get it with quality and quantity that is valid, accountable and according to the needs of the users themselves. Sources of knowledge or reading are still needed, whether in face-to-face conventional libraries with librarian services or with online media, the web or online library links. Hybridization of the two is still necessary according to the needs and character of the user concerned.
Deep Dive into Terraform

In the previous chapter, we delved into the world of infrastructure as code (IaC) and explored fundamental concepts related to Terraform. We discussed Terraform’s widespread application across various IT infrastructure domains and highlighted the significant advantages of automating infrastructure using Terraform.
Univariate Time Series Analysis with Hyper Neural ODE

Neural ordinary differential equations (NODE) are ordinary differential equations whose right-hand side is determined by a neural network. Hyper NODE (hNODE) is a special type of neural network architecture, which is aimed at creating such NODE system that regulates its own parameters based on known input data. The article uses a new approach to the study of one-dimensional time series, the basis of which is the hNODE system. This system takes into account the relationship between the input data and its latent representation in the network and uses an explicit parametrization when controlling the latent flow. The proposed model is tested on artificial time series of data. The influence of some activation functions (besides sigmoid and hyperbolic tangent) on the quality of the forecast is also considered.
Order training as a method of managing the formed suborders of organizational culture (Castalia program)

Introduction. The organizational and cultural approach to the management of modern organizations remains a priority in the context of an increasing variety of management technologies. Theoretical analysis. The theoretical basis for understanding the phenomenon of organizational culture and socio-psychological training as a method of managing it is the order approach to the socio-psychological study and change of organizational culture. In the order approach organizational culture is considered as a complex socio-psychological order of organizational and managerial interactions, constituted and regulated by subsystems of ethical meanings of participants in interaction. Empirical Analysis. The analysis is based on the material of the training case. Conclusion. The socio-psychological mechanism underlying the training method of managing the suborders of organizational culture is a step-by-step recoding of the ethical and semantic code of culture, taking into account at the same time the features of the existing culture of the organization and the actual management task.
High Performance of Coding And Decoding Process for Data Compression Using Variable in Length Coding

Data compression using Huffman coding refers to decreasing the quantity of data without decreasing the quality of original file. Besides that, it can retrieve original data in decompression process without losing any details. In this research, an 9bit/8bit encoding and decoding process divide the block design. The input transmission code consists of 9-bit which are variable in length coding and can be suitable for high-speed applications. Coding and decoding blocks were designed separately. The encoder module gets the 9-bit data used as input and delivers the 8-bit coded-output from encoder design. this output data used as input to the decoder module to get the 8-bit as output form decoder design. In this research, the proposed design includes encoder and decoder were achieved Compression Ratio up to 52% from original data size and saving percentage up to 47.95%. The suggested design was implemented by using ASIC and FPGA design methodologies to execute the compression and decompression architectures. The architecture of coding and decoding process has been created using Verilog HDL language. Quartus II 11.1 Web Edition (32-Bit). In addition, simulated using ModelSim-Altera 10.0c (Quartus II 11.1) Starter Edition. And it is implemented using Altera FPGA (DE2) for real time implementation. Finally, all of the blocks were combined together to have an integrated system.
Impact of using computer-assisted experimentation on learning physical sciences in secondary schools in Morocco

This research is part of the integration of information and communication technologies (ICT) in the Moroccan education system, our objective being to evaluate the use of computer-assisted experimentation (CAEx) in learning to encourage the authorities of the Ministry of National Education, Vocational Training and Sports to adopt the CAEx program in the teaching and learning of physics so that it becomes compulsory for all high schools. To evaluate the impact of using CAEx in the study of free oscillations of an RLC circuit (a linear circuit containing an electrical resistor, an inductor, and a capacitor). A study was conducted with 40 Moroccan students in the second year of the scientific baccalaureate option life and earth sciences at the high school Abdellah Laroui in the city of Fez, as this work aims to highlight the effect of the use of CAEx on the learning of students. Using the methodology of pre-test and post-test with an experimental group (20 students) and a control group (20 students). The results of both groups are analyzed with IBM SPSS 21 statistical analysis software the results obtained from the post-test show that the average of the tests addressed to both control and experimental groups has a significant difference. In addition, non-directive and directive interviews were conducted with the students of the experimental group. Indeed, the content of the grid of open and closed questions was elaborated in agreement with the teachers of physical sciences of the high school Abdellah Laroui, concerning the use of CAEx in learning and to know the degree of satisfaction of the integration of CAEx in the study of free oscillations in an RLC circuit. In addition, the data were processed by Sphinx v5 software. This study showed that CAEx integration had a positive effect on student learning. It can be said that CAEx plays an important role in the grasp and assimilation of scientific concepts, and it represents a solution to make the student more attentive and serious. Computer Aided Instruction can develop a spirit of initiative in the learner.
A Decision Support System Based on Optimization Methods for Optimizing Duhok University Traffic Problem

Combinatorial optimization problems have previously proven to be significant and appealing for both basic research and practical applications. In this work, a real-life problem at Duhok University is considered, named as Duhok University Traffic Problem. Traffic bottlenecks, difficulties in moving, transportation cost in terms of time and financial and other problems in Duhok University are addressed as a series problems. In this paper a decision support system based on optimization methods are proposed in order to optimize a public transportation network to reduce the impact of the considered problem. The authors are first simulated the problem as a well-known optimization problem named as travelling salesman problem. Second, the problem is represented mathematically by introducing a mathematical programming model. Third and last, a decision support system based on three optimization methods are proposed in order to help in solving the considered problem, which are: greedy method, local search method, and artificial bee colony method. Computational results showed that, all the three proposed algorithms optimized and enhanced the transportation network in Duhok University, where Artificial Bee Colony presented high quality improvement by 36.48% and outperformed both, the greedy algorithm (13.81%) and the local search algorithms (31.45%).
The Causal Relationship between Cryptocurrencies and Other Major World Economic Assets: A Granger Causality Test

This study examines the causal relationship between cryptocurrencies and other major world economic assets, such as gold, stocks, oil, and bonds, using both Granger causality and correlation analyses. The study focuses on the period between 2018 and 2022, using a vector autoregressive model (VAR) to analyze data on cryptocurrencies and other major world economic assets, which collectively represent over 90% of the market during the observed period. Results show that correlation clearly identifies causal interdependency between cryptocurrencies and other major world economic assets and that the variation in cryptocurrencies increasingly explains other major world economic assets. The results reveal that there is Granger causality between the cryptocurrencies (Tether, USD Coin, and Binance USD) and the other major world economic assets (BOND, SP500, and GOLD). Additionally, the study finds evidence that market inefficiency in the cryptocurrency market increased between 2018 and 2022. The findings suggest that the properties of the cryptocurrency market are highly dynamic and that researchers should be hesitant to generalize the market properties observed during idiosyncratic periods. The relevant information is swiftly reflected in asset prices when investors are more interested in a news event, increasing volatility. Strong evidence suggests that volatility spill overs increase sharply at this time. The structure of these markets frequently changes, and a large number of cryptocurrencies appear and disappear every day.&#x0D;
Code-switching used by English teachers in teaching EFL students

This study aims to investigate: (1) the types of code-switching used by English teachers in teaching the classroom; and (2) the frequency of code-switching functions used by English teachers in teaching activities. According to Poplack’s theory, there are three types of code-switching: inter-sentential switching, intra-sentential switching, and tag switching. In addition, there are also three functions of code-switching that will be found in classroom activities according to Sert’s theory: topic switch, affective function, and repetitive function. This study was conducted using a qualitative method with a case study approach. The participant in this study was an English teacher at one of the Islamic junior high schools in Ciamis. To determine the participant, the writer used the purposive sampling technique. Data collection in this study was carried out through observation and recording. The writer conducted observation twice, and then recording was used to analyze the data. The results show: (1). The teacher did all the types of code-switching according to Poplack’s theory in her teaching activities, namely, inter-sentential switching, intra-sentential switching, and tag switching. (2). The code-switching function that was dominantly used by English teachers was the topic switch function, with 109 cases, or 82%, while the results of affective and repetitive functions were equal.
SOCA-PRNet: Spatially Oriented Attention-Infused Structured-Feature-Enabled PoseResNet for 2D Human Pose Estimation

In the recent era, 2D human pose estimation (HPE) has become an integral part of advanced computer vision (CV) applications, particularly in understanding human behaviors. Despite challenges such as occlusion, unfavorable lighting, and motion blur, advancements in deep learning have significantly enhanced the performance of 2D HPE by enabling automatic feature learning from data and improving model generalization. Given the crucial role of 2D HPE in accurately identifying and classifying human body joints, optimization is imperative. In response, we introduce the Spatially Oriented Attention-Infused Structured-Feature-enabled PoseResNet (SOCA-PRNet) for enhanced 2D HPE. This model incorporates a novel element, Spatially Oriented Attention (SOCA), designed to enhance accuracy without significantly increasing the parameter count. Leveraging the strength of ResNet34 and integrating Global Context Blocks (GCBs), SOCA-PRNet precisely captures detailed human poses. Empirical evaluations demonstrate that our model outperforms existing state-of-the-art approaches, achieving a Percentage of Correct Keypoints at 0.5 (PCKh@0.5) of 90.877 at a 50% threshold and a Mean Precision (Mean@0.1) score of 41.137. These results underscore the potential of SOCA-PRNet in real-world applications such as robotics, gaming, and human–computer interaction, where precise and efficient 2D HPE is paramount.
Motivational Challenges in E-Learning at the University of Bisha, Saudi Arabia

During the COVID-19 pandemic, schools, colleges, and universities switched from their traditional modes of classroom teaching to online/e-learning. This has boosted e-learning culture and made it a common practice in Saudi universities. Blending e-learning and traditional teaching methods in educational institutions empowers today&amp;rsquo;s students with online systems to support their pursuit of academic knowledge and skills. Because this is a recent endeavour in Saudi Arabia, it presents many challenges. There has been very little serious research done on the best practices to improve students&amp;rsquo; e-learning outcomes. This study investigates the motivational and technological impediments encountered by Saudi students, using a questionnaire as a research tool to explore their real life e-learning experiences and issues at the University of Bisha, Saudi Arabia. The objective was to identify effective motivational strategies to engage learners. This in-depth study yielded many firsthand insights into issues that impede students&amp;rsquo; motivations in e-learning. After analyzing each problem, the paper proposes some concrete, innovative tips and teaching strategies for both the teachers and the students to make a feasible and significant difference in the e-learning practice.
The Effect of job crafting on Job Engagement and Job Satisfaction of Aesthetic Salon Worker

This study attempted to investigate the influence of job crafting on job engagement and job satisfaction against aesthetic salon workers as a way of enhancing their working environments and job satisfaction. Specifically, it examined the effects of job crafting on job engagement and job satisfaction and the influence of job engagement on job satisfaction to help aesthetic salons manage human resources more efficiently. For this, a questionnaire survey was performed against 199 respondents from March 17 to 20, 2023. Prior to the main survey, a pilot survey was conducted against 100 respondents from February 27 to March 10, 2023. Based on the results of the survey, the main survey was carried out. The questionnaire was constructed based on previous studies. The demographic characteristics of questionnaire items were measured, using a nominal scale while others were examined with the 5-point Likert scale. The collected data were analyzed, using SPSS 21.0 and AMOS 21.0, and the results found the followings:&#x0D; The hypothesis ‘job crafting would have a positive influence on job engagement’ was partially supported. Job crafting had no statistically significant effect on job engagement while a significant influence was observed in cognitive crafting and relative crafting only. The hypothesis ‘job crafting would have a positive influence on job satisfaction’ was partially accepted. Job crafting had no statistically significant effect on job satisfaction while a significant influence was found in cognitive crafting and relative crafting only. Lastly, job crafting revealed a positive influence on job satisfaction.&#x0D; This study is meaningful in that it examined job crafting against aesthetic salon workers. It is anticipated that the study results would be available as basic data in improving working environments and enhancing employees’ welfare based on the fact that cognitive crafting and relative crafting have an influence on job satisfaction and job engagement in aesthetic salons.
Synthesis and Characterization of SrTiO3 Doped with Bi(CH3COO)3

Synthesis of Strontium Titanate (SrTiO3) doped with Bismuth Acetatem (Bi(CH3COO)3) has been successfully carried out with varying concentrations of 0%; 0.5%; 1%; and 1.5% impurity in weight percent. The concentrated solution was dripped onto a P- type silicon substrate (1 0 0) using the Chemical Solution Deposition (CSD) method and spin coating technique. Annealing process was carried out with a temperature increase of 1.67oC/minute and held at 850oC for 8 hours and then cooled to room temperature for 12 hours. The film thickness was determined by the volumetric method, resulting in values of 3.9 μm, 4.3 μm, 4.7 μm and 5.1 μm. The analysis of optical properties with the Kubelka-Munk function for the direct transition results a band gap of 3.46 - 3.56 eV. Analysis of the XRD results was carried out using the Cramer-Cohen method and obtained lattice parameters (a=b=c) of Strontium Titanate (SrTiO3) doped with Bismuth Acetate (Bi(CH3COO)3) with various concentrations of 0%; 0.5%; 1%; and 1.5% are 3.835 Å, 3.837 Å, 3.909 Å, 3.913 Å respectively with a cubic crystal structure. This is because the ionic radius of bismuth (1.32 Å) is larger than that of strontium (1.17 Å), so bismuth will replace strontium in thin films. This replacement causes the lattice parameter values to increase, and effects the XRD spectral curve at the preferred peak (1 1 0) shift to the left. This shows that the doping bismuth has entered the strontium host.
The Backward Design Mix Metaverse: BDMM Platform to Promote Decision-Making Skills in Higher Education

The backward design mix metaverse platform, or BDMM platform to promote decision-making skills is based on the concepts of backward design integrated with metaverse technology, and it is intended to be used as a tool to promote decision-making skills in higher education. The BDMM platform uses virtual reality technology to design a virtual learning environment in such a way that it can help learners achieve deep learning. The research participants in this study were 10 referees who judged football matches of the students in the Sports Coaching Program at Thammasat University. The research results show that the overall suitability of the development of the BDMM platform is at a high level, and the suitability of the elements of the BDMM platform is at a high level.
A B+-Tree-Based Indexing and Storage of Numerical Records in School Databases

The need for effective indexing and retrieval of data is paramount in any contemporary organization. However, the use of tree data structure had been effective in this regard as evident in literature. This article gives an overview of B+-tree data structure, its indexing technique and application in indexing and retrieving students’ academic records in the school system in order to make such records flexible. The study demonstrates the indexing and arrangement patterns of some numerical data. In essence, it discusses how to adopt the use of B+-tree data structure to manage some numerical data in order to enhance indexing, retrieval and modifications of such record. It concludes that good record management results in more convenient indexing and retrieval of students’ academic records within the school system.