Reviewerly/exHarmony huggingface dataset:
https://www.anmb.ro/buletinstiintific/buletine/2023_Issue1/02_EEA/169-177.pdf

The Photovoltaic (PV) systems are more present in the communities’ landscape providing energy to the consumers, public buildings, municipalities, and industry, smoothen the electricity prices fluctuations and reducing the dependency on the public grid. They are reliable energy sources for boats and ships as some of the PV technologies are flexible and can be located on plane surfaces or even on the water surface especially when the ships dock at sea or at the seashore. However, the operation of PV systems depends on several weather factors, and it is important to predict their operation to manage the controllable load. Furthermore, it is essential to know if the PV systems generate in surplus or additional energy is required to cover the load. The surplus can be offered for local trading or aggregated and offered for centralized markets. Therefore, in this paper, we aim to predict the output of the PV systems using machine learning algorithms and recurrent neural networks (RNN), especially a multivariate Long Short-Term Memory (LSTM) model. Data extraction, feature engineering, and forecast of the PV power are depicted and the simulations are performed using 4 PV systems located in Constanta County. The results are assessed with prediction performance metrics such as RMSE, MAPE, etc.
The Representation of Argumentative Discourse in Doha Debates

The study aims to analyze the argumentative process contained in the YouTube Channel Doha Debate with the title “Gender Equality (Full Debate) Doha debates presenting three spokespersons by using five principles based on Damer’s theory. The method used in this study is qualitative descriptive. Data has been collected in the analysis by way of presenting, describing, and interpreting data. Research results show that there are twelve data in in this study, such as structural principle (twelve data), relevance (ten data), acceptability (one Data), sufficiency (six data), and rebuttal principle (four data). The researcher found that the structural principle is most dominantly used in the argument because there is a claim from the speaker’s argument to strengthen the speaker’s statement so that it can be accepted by the audience, relevance of reasons that are directly related to the claim, acceptability of the audience's opinion regarding the speakers’ argument, sufficiency provides evidence to strengthen the argument, and rebuttal principle which is the speaker's criticism of the argument presented by the opponent. Therefore, this concluded that the most consistent during the debate was Randa saying that quotas can help gender equality while Christina said that quotas cannot work and only harm because there is no evidence that gender quotas can help equality.
Penyebab Menurunnya Kinerja Mesin Pendingin di MV. Vancouver

A cooling machine or commonly called an Air Conditioner (AC) is a system of auxiliary machines that can create cool temperatures in certain rooms so that workers on ships feel comfortable. Cooling machines are used to regulate and manage air quality which are includes air circulation, air conditioning, air hygiene standards and air purification. There are several main components in the cooling machine, namely the Compressor, Condenser, Expansion Valve, Evaporator. Each of these important components has different functions and ways of operating, but are connected to each other so that the cooling machine can function. The purpose of the author making this final project is to determine the performance of the cooling system, factors that reduce the performance of the cooling machine, as well as repair and maintenance efforts so that the cooling machine can return to normal operation. This research was conducted on the MV. Vancouver by using a qualitative approach. The author conducted direct observations as well as in-depth interviews and documentation studies when conducting research. The results of the author's research found that the main factor causing the decline in the performance of the cooling machine was the appearance of sparks on the evaporator and coil pipe caused by interference with the filter dryer so that it inhibits heat absorption and the evaporator cannot evaporate the refrigerant optimally. The impact caused by the less than optimal operation of the cooling machine in the Engine Room Workshop MV. Vancouver was an unstable room temperature making the crew feel uncomfortable while working or resting.
Proposal of an Advanced Structure of YOLOX for Hornet Detection Accuracy Improvement

In this paper, an advanced backbone structure for YOLOX is proposed to obtain better detection accuracy in small object detection such as hornet by replacing CSPLayer with ShuffleLayer. By this replacement, numbers of convolution operation are reduced in each layer of the backbone. This can conserve spatial information of small objects in each layer and through layers in backbone, reducing processing time. In order to evaluate the proposed method, four types of experiments were executed such as mAP comparison for our hornet dataset, another mAP comparison for the standard dataset VEDAI dedicated small objects, generalization test for RTMDet, and detection speed between the default YOLOX model and the proposed YOLOX model. As a result, the first mAP under 50% IoU condition for the hornet dataset showed 86.21% and 87.35% for the default and the proposed, respectively. The experiment, mAP test for the standard VEDAI, represented 47% and 41.7% for each model and also showed better accuracy by 5.3%. In the generalization test with RTMDet, the proposed model showed similar or higher accuracy according to IoU. In addition, in terms of speed the proposed ShuffleLayerbased backbone was faster than the default by 1.35 times due to reduced convolution parameters. Thus, experiments above verified that the proposed backbone structure for YOLOX can be effectively utilized to enhance accuracy and inference speed in real-time detection for small objects.
Stochastic Dual Coordinate Ascent for Learning Sign Constrained Linear Predictors

Sign constraints are a handy representation of domain-specific prior knowledge that can be incorporated to machine learning. Under the sign constraints, the signs of the weight coefficients for linear predictors cannot be flipped from the ones specified in advance according to the prior knowledge. This paper presents new stochastic dual coordinate ascent (SDCA) algorithms that find the minimizer of the empirical risk under the sign constraints. Generic surrogate loss functions can be plugged into the proposed algorithm with the strong convergence guarantee inherited from the vanilla SDCA. A technical contribution of this work is the finding of an efficient algorithm that performs the SDCA update with a cost linear to the number of input features which coincides with the SDCA update without the sign constraints. Eventually, the computational cost O(nd) is achieved to attain an ϵ-accuracy solution. Pattern recognition experiments were carried out using a classification task for microbiological water quality analysis. The experimental results demonstrate the powerful prediction performance of the sign constraints.
Study of the Traditional Rock Art of the Zo Tribes in Northeast India

Stone engraving or carving also known as petroglyph is an image created by removing part of a rock surface by incising, picking, carving or abrading, as a form of rock art. In the engraving, animals, men, ornaments, instruments, weapons and so on have been depicted which is the material culture of the Zo tribes. This article attempts to give a brief account of the living rock art tradition of the Zo people in the transborder area of Indo-Myanmar. The culture extended to Chin Hills and Mizoram who are the same group of southern Manipur. The periodisation of the studied rock art is beyond the understanding of a mere scholar without the help of experts. This article deals only with the petroglyph or rock art irrespective of megalith, monolith, dolmens or menhir. Efforts have been made to explore how these diverse tendencies can be beneficial within the study of rock art and history.
QoE Analysis of Open Access Network at the University of Riau

This journal outlines a QoE network analysis conducted through both subjective and objective methods. The subjective approach involved the distribution of questionnaires via Google Forms to Riau University students using open access network, while the objective method utilized open access network in the Engineering Faculty Lobby and the Riau University Library, facilitated by the Google LightHouse tool. This analysis extended over a span of five days, encompassing morning, afternoon, and evening measurements, focusing on five web-based applications: YouTube, Facebook, WhatsApp, Instagram, and the Riau University Portal. The parameters assessed included Performance, Accessibility, Best Practices, and SEO. The QoE measurement results were presented in both tabular and graphical formats. The subjective method yielded a MOS value of 3.45, classifying it as "quite good." Meanwhile, when using the objective method in the open access network in the Lobby of the Faculty of Engineering, the average performance was 46.86, placing it in the "bad" category. In the UNRI Library location, the average performance was 48.2, also categorized as "bad." However, for other parameters, the average scores exceeded 50, falling into the "Fair" and "Good" categories.
Assistance In Making Learning Media Based on Android-Based Educational Game Learning Media

One of them is the use of smartphones in the field of education in the form of developing learning media in the form of educational games based on mobile devices. As described above, many users from mobile devices are considered very supportive of the application of educational games on mobile devices as learning media. This article describes training in making learning media with Android-based educational games. This community service was held from June 30 to July 14 2023. The location of community service is located in the city of Banjarmasin. The activity results describe an increased understanding of how making educational game learning media integrating local content cannot be done in one meeting. Therefore, in designing activities, a series of meetings is needed so that the knowledge related to making educational games becomes comprehensive.
Implementation of the Membership Method in Developing a Digital Marketing Website for Secanggan Village Sea Products

The problem that occurs for fishermen is that it is difficult to reach a wide range of purchases, and then the price of fish becomes very cheap when the fish catch is large and becomes expensive when the fish catch is small. This can be overcome by processing it so that it has a higher selling value and is more durable. If the fish has been processed to make it more durable, a digital marketing promotion website is needed. A digital promotional website can increase the income of Secanggang Village BUMDES through the use of digital technology to connect marine products with a wider market. The research method used is waterfall with the PHP programming language and MySQL database. The application includes literature studies to understand the concepts of digital marketing, e-commerce, and the benefits of promotional websites in developing local businesses. Digital marketing promotional websites are built with features that support e-commerce activities, such as product catalogs, ordering features, and online payments. During the development process, testing and evaluation were carried out to ensure the functionality and responsiveness of the website and to collect input from potential buyers and BUMDES regarding the user experience. The digital marketing promotional website creates new business opportunities for BUMDES in Secanggang Village, increases sales turnover of marine products, opens wider market access, and empowers the local economy in a sustainable manner.
Design Android-Based Car Rental Management Application Using Prototype Method

Inayah's car rental is one of the business sectors in the field of transportation services at Pekanbaru, Riau. Inayah car rental carries out management activities for car rental management that can be rented from daily to monthly. Management of rental transactions is currently done manually by recording customer data and storing customer guarantees in the archives that have been provided. Problems arise when the data is lost or damaged while the car is on the customer's side. In addition, other issues arise when a customer cancels suddenly on that day, or the customer's uncertainty about car rental will impact other customers who are serious about renting a car at that time. From these problems, we need a system that can automatically manage, store, and manage car rental transactions using Android. The development method in this study uses the prototype development method. The Prototype is a development method that involves users in system development. Based on the research results, we get a very good interpretation of the standard quality of the ISO 25010 system test, functional, performance, reliability, maintainability, security, usability, and efficiency.
Digital Manufacturing Pilot Study for Stepping Towards Mixed Reality Applications in Tertiary Education

Digital manufacturing is a comprehensive approach which includes the integration of information technology and automation into the entire product lifecycle, from design and engineering to production, logistics, and customer service. In education, mixed reality can be used to create interactive educational experiences. It has the potential to revolutionize the way products are designed, manufactured, and maintained in the digital manufacturing industry. One of the key-ways mixed reality can be used in digital manufacturing is by providing a more immersive and interactive design experience. Engineers and designers can use mixed reality to create virtual prototypes of their products and test them in a realistic, 3D environment. This can help identify potential issues early in the design process before they become costly to fix. The current paper explores the process of testing and selecting specific applications from a digital manufacturing university level course to be designed and integrated into mixed reality scenarios. Within the framework of an Erasmus+ funded project, the authors designed a Digital Manufacturing course which was implemented over 15 hours of face-to-face activities. Based on participant feedback and assessment of trainers the main areas of content were identified for further development into mixed reality applications. The paper presents one mixed reality application and pinpoints future areas of improvement and development into immersive environments for tertiary education.
Students Community App Using Flutter

The Student Community App is a comprehensive digital platform meticulously crafted to cater to the diverse needs of today's student population. At its core, the app seeks to create a vibrant and interconnected community within educational institutions, transcending the limitations of physical boundaries. A key feature of the app is its intuitive and user-friendly interface, ensuring accessibility for all students. Real-time messaging capabilities form the backbone of communication, enabling instant and direct connections between individuals or within groups. This facilitates seamless collaboration on academic projects, extracurricular activities, and even fosters casual social interactions. The app goes beyond traditional communication tools by incorporating dynamic group forums. These forums serve as virtual spaces where students can engage in in-depth discussions, share valuable insights, and seek or offer academic support. This not only enhances the learning experience but also cultivates a culture of knowledge-sharing and mutual growth
Batch-Stochastic Sub-Gradient Method for Solving Non-Smooth Convex Loss Function Problems

Mean Absolute Error (MAE) and Mean Square Error (MSE) are machine learning loss functions that not only estimates the discrepancy between prediction and true label but also guide the optimal parameter of the model.Gradient is used in estimating MSE model and Sub-gradient in estimating MAE model. Batch and stochastic are two of the many variations of sub-gradient method but the former considers the entire dataset per iteration while the latter considers one data point per iteration. Batch-stochastic Sub-gradient method that learn based on the inputted data and gives stable estimated loss value than that of stochastic and memory efficient than that of batch has been developed by considering defined collection of data-point per iteration. The stability and memory efficiency of the method was tested using structured query language (SQL). The new method shows greater stability, accuracy, convergence, memory efficiencyand computational efficiency than any other existing method of finding optimal feasible parameter(s) of a continuous data.
Teaching Reading Skills More Effectively

It is hard to disagree that reading is one of the most important skills in learning. Children learn to read very early, and before they start school, they are supposed to be able to read. Nevertheless, some of them struggle. For instance, some of them confuse letters or may have difficulty reading comprehension, while others may have difficulty remembering, which might be the consequence of learning difficulties (LD), for instance, dyslexia, one of the most common cognitive disorders. It often affects reading and language skills. Researchers have found out that about 40 million people in the USA suffer from dyslexia, but only about 2 million of them have been diagnosed with such a disorder. At the same time, about 30% of people diagnosed with dyslexia also suffer from autism spectrum disorders (ASD) and attention deficit hyperactivity disorder (ADHD) to one degree or another
Ensemble learning techniques to improve the accuracy of predictive model performance in the scholarship selection process

Ensemble Learning is an algorithm that searches for the best prediction result based on several classifier solutions which are come from different algorithms. Ensemble learning has better accuracy and performance compared to other algorithms because this method uses several learning algorithms to achieve better predictive solutions. There are a lot of data that the scholarship organizer receives and manages. This makes the process take a lot of time to do checking process and makes it inefficient. Accelerating the process while also maintaining the accuracy of the scholarship selection process can certainly improve the selection performance. In this study, we process student data from UIN Jakarta University as a sample. The model will have 2 base classifiers, namely Support Vector Machine (SVM) and Key Nearest Neighbor (KNN). Each of these algorithms already has quite a good accuracy. Using Ensemble Learning improves the model performance because it has the ability to overcome errors that occur in each data prediction. We can exploit the classification application created using "Streamlit" and will determine whether a student is accepted or rejected in the scholarship selection process. Our model and application can be used by academics as a Decision Support System (DSS) for determining scholarship recipients. This model can also be used as a development for institutions in the academic field.
HOW DO SUSTAINABILITY ASSURANCE, INTERNAL CONTROL, AUDIT FAILURES INFLUENCE AUDITING PRACTICES?

The main objective of this research is to examine the association between sustainability assurance audit failures and internal control and auditing practices. The study utilizes a quantitative method through a survey of 24 auditors from the State Audit Institution in Oman. The present study tested the hypotheses using Smart-PLS for data analysis. The results revealed that sustainability assurance and internal control have a positive and significant effect on auditing practices, while the factor of audit failures had an insignificant relationship with auditing practice. The present work contributes to practitioners and scholars in the field of auditing techniques by providing implications. It does so by offering empirical evidence to academics, decision-makers, and other interested parties.
ROLE LEADERSHIP MODEL: THEORETICAL FOUNDATION AND ROLE QUESTIONNAIRE LEADERSHIP SKILLS

The article is devoted to the study of the phenomenon of leadership skills from the standpoint of the role approach, as well as the standardization of the role–structure questionnaire of leadership skills. The study is focused on the theoretical substantiation of the role structure of leadership skills and testing the role–structure questionnaire. The study was attended by 236 studied at the age of 18-55 as a psychometric sample. Tested in this study The role– structure questionnaire of leadership skills allows to evaluate the degree of development of leadership skills by the roles of the Negotiator, who performs a communicative function of leadership, a Coach, who performs a didactic function of leadership, a Guide who performs an organizational function of leadership, a Counsellor, who performs the communicative and organizational function of leadership, a Motivator who performs a motivational function of leadership, a Friend who performs an emotional function of leadership. A Director who performs an instrumental and managerial function of leadership and a Team-bilder who performs a team of leadership.
THE LEVEL OF SATISFACTION WITH THE ORGANIZATION OF ONLINE LEARNING AMONG HIGHER EDUCATION STUDENTS

the article is devoted to the study of the level of satisfaction of higher education students with various aspects of the organization of online education. The results of a survey of 124 applicants representing various higher education institutions of Ukraine are presented. It is shown that the main parameters that must be taken into account when organizing online training are: training platform, content, communication organization, schedule organization, evaluation and reporting, technical support, motivation. Each of these aspects has its own characteristics and requires attention and systematic support. The most optimal way of researching the level of satisfaction with the organization of online education is a questionnaire, as a research method that allows you to quickly and flexibly obtain information about new topics in the field of education. Based on the results of the questionnaire, it was determined that the applicants are most satisfied with the evaluation and reporting, the quality of the educational content, the organization of communication and the platform for learning. Applicants consider the organization of the schedule, technical support of the educational process, and support of educational motivation to be unsatisfactory.
Aspects of gamification in the ESP program for maritime students

This paper explores the possibilities offered by the integration of various gamified learning tasks in the teaching of maritime English at “Mircea cel Bătrân” Naval Academy, with a focus on the enhancement of the acquisition of specialized vocabulary. The study will discuss the impact of online interactive activities in a game-like format on student motivation, as well as on the speed and quality of the subsequent linguistic intake. Classroom observations have shown that gamified learning activities and strategies have enriched the learning process by prompting a higher level of engagement with the learning content, by fostering participation, developing transferable digital skills, encouraging student autonomy and ultimately leading to learner empowerment. The paper will also provide some practical demonstrations of such gamified language learning activities with the aim of sharing best practices and encouraging the use of ICT means in the teaching and learning process.