Reviewerly/exHarmony huggingface dataset:
Harnessing Mobile Technology for Sustainable Engagement: An Innovative iOS and Android Flutter Application for United Nations' SDG Alignment and User Empowerment

In a world facing pressing challenges related to sustainability and the United Nations' Sustainable Development Goals (SDGs), harnessing technology for global betterment has become a paramount goal [1]. This research paper introduces an innovative iOS and Android Flutter application designed to engage users of all ages in daily tasks aligned with the SDGs [2]. The paper explores the imperative of mobilizing a diverse user base to contribute to sustainability and illustrates how technology can be a catalyst for positive change. It discusses the application's structure, core components, and unique features, such as daily prompts, interactive content, and real-world action. The study also delves into a user survey experiment, revealing significant findings that demonstrate the application's positive impact on awareness and the adoption of sustainable behaviors [3]. Through this research, we aim to emphasize the potential of mobile applications to empower individuals and communities in the pursuit of sustainability, fostering a collective drive toward a more harmonious and responsible global future.
Multimodal Analysis of Google Bard: Experiments in Visual Reasoning

Addressing the gap in understanding visual comprehension in Large Language Models (LLMs), we designed a challenge-response study, subjecting Google Bard to 64 visual tasks, spanning categories like "Visual Situational Reasoning" and "Next Scene Prediction." Previous models, such as GPT4, leaned heavily on optical character recognition tools like Tesseract, whereas Bard, akin to Google Lens and Visual API, employs deep learning techniques for visual text recognition. However, our findings spotlight Bard's limitations: while proficient in solving visual CAPTCHAs that stump ChatGPT, it falters in recreating visual elements like ASCII art or analyzing Tic Tac Toe grids, suggesting an over-reliance on educated visual guesses. The prediction problem based on visual inputs appears particularly challenging with no commonsense guesses for next scene forecasting based on current “next- token” multimodal models. This study provides experimental insights into the current capacities and areas for improvement in multimodal LLMs.
Applying Developed Genetic Algorithm Operators to the Knapsack Problems

This study investigated the effect of the previously developed random mixed crossover (RMC), back controlled selection (BCSO), double directions sensitive mutation operators (DDSM), and backward controlled termination criteria (BCTC) on the performance of a genetic algorithm (GA). In the first study, the following three benchmark 0-1, bounded, and unbounded knapsack problems problems were analyzed. In the first stage, the existing operators namely; multi-point crossover operator and tournament selection operator, 1% mutation ratio, and the fitness convergence termination criteria were applied to the benchmark problems. In the second stage of the study, the analysis was conducted by separately applying the previously developed operators, RMC, BCSO, DDSM, and BCTC to the same benchmark problems, and the results obtained from the analysis in this stage were compared with those obtained from the first stage. In the third stage of the study, the previously developed RMC, BCSO and DDSM operators, and BCTC were applied to the same benchmark problems in the same analysis, and the results were compared with those obtained from the first stage. The results of the analysis showed that when the developed operators (crossover, selection and mutation) and termination criteria were collectively used, they were more successful than the existing operators and the developed operators that were separately applied to the benchmark problems.
Application of Fuzzy Delphi Techniques to the Spiritual Development Needs of Aboriginal Peoples Preachers

Spirituality is an essential component of human development. From a spiritual standpoint, physical and internal human components are engaged in human development. It acts as a stimulus for new developments, especially those that benefit marginalized groups like the one of the indigenous people. One of the driving factors in the aboriginal community is the preacher. Preachers in the Aboriginal culture need to be prepared in a variety of ways, including their spirituality. These preachers need to be prepared in a variety of ways, including spiritually. This study attempts to discover the spiritual elements that are necessary in order to generate preachers who serve the aboriginal population, particularly preachers who are native to and a part of their own tribes. How do these elements fulfil the needs for spiritual development of indigenous preachers? In order to confirm that spiritual components are genuinely required by the preacher, this study also aims to look at the expert panel's agreement in the process of confirming the necessity for spiritual aspects in the development of indigenous preachers. The Fuzzy Delphi design and a purposeful sampling of 14 da'wah specialists from the aboriginal community were used in this study's methodology. The data is analyzed using triangular fuzzy numbers, and the placements of the elements are determined using the 'defuzzication' procedure. The findings from the research indicate that in order to develop spiritually, aboriginal community preachers should concentrate on three important areas. They are fundamental components of morality, faith, and worship. All three of these factors must be taken into account in order for the experts to come to an agreement and a consensus. The goal of this research is to build a framework for the spiritual development of aboriginal community preachers that can serve as a roadmap for participants in governmental and non-governmental organizations to improve their practise of Islam.
A Data Warehouse Architecture Proposal and ETL Analysis, Case study of an Albanian Banking System

The increasing phenomenon of information overload is a direct result of the ongoing trend to reduce the cost of data distribution while the development of data processing platforms is not fast enough. Therefore, sending packets of data is not a big issue, but processing an increasing amount of data is a big challenge.&#x0D; Data Warehouse is a concept born in the late ‘80s and has been improved decade after decade with the growth of technology. Despite many application areas, the data warehouse concept is still new and unknown to Albanian businesses and companies with a large amount of data to store and analyze.&#x0D; This paper aims to provide an in-depth analysis of the concept of a data warehouse, the different architectures applied, and the Extract, Transform Load (ETL) process. The ETL process as a concept consists of extracting the data from a source, transforming them into different formats or dimensions, and then loading them somewhere to be checked for analysis or other purposes.&#x0D; In this paper, we can find different definitions of the data warehouse, where it can be implemented, the different architectures according to the need of the users, and how the ETL process works. The last chapter implements a data warehouse for the banking system seen from a Management Information Systems perspective followed by an application of a step-by-step ETL procedure.
Design of E-Monitoring Application for Construction Project Program Evaluation Website Based

A construction project is a series of interrelated activities to achieve certain goals (building/construction) within certain time, cost and quality limits. Rehabilitation and Reconstruction is one of the post-disaster disaster management projects. The success of a project can not only be seen from the completion time and final results of the project, but one important factor is the project progress report which is always monitored. E-monitoring is the supervision and monitoring of work processes through the use of information technology. In this research, the system development method used is the waterfall method and the system testing method uses black box testing. The monitoring and evaluation system for construction projects in rehabilitation and reconstruction at the Central Sulawesi Regional Settlement Infrastructure Center can display information about the progress of construction projects for rehabilitation and reconstruction at the Central Sulawesi Regional Settlement Infrastructure Center. This system can also speed up data searches, data processing and can process data
L’odio online: un fenomeno dai molteplici volti. Alcuni possibili antidoti

Hate can take many forms, as demonstrated by the hate speech phenomenon. Indeed, the network, because of its structural characteristics, created the ideal conditions for the proliferation of violent and aggressive narratives and languages which, as often happens, find their target in people more vulnerable than others. So, the goal is to comprehend which tools – in and outside the digital space – can be used in order to limit its expansion, or even better, to prevent its spread.
Segni, gesti e parole Studi sulla lingua dei segni italiana e su fenomeni di contatto intermodale

Italian Sign Language (LIS) has been studied and taught in universities for more than twenty years. Some of the university research projects result in dissertations, which, however, often remain confined to the university databases and are thus scarcely visible and traceable. The aim of this edited volume is to give prominence to particularly deserving theses developed in the Master’s Degree Course in Language Sciences at Ca’ Foscari University Venice. The selected contributions delve into some linguistic phenomena of LIS that are still little studied and investigate phenomena of interlingual and intermodal contact between LIS and Italian.
Research on hybrid genetic algorithm based on double structure coding

The 0-1knapsack problem is well known to be NP-hard in optimization algorithms. There are many commonly used methods to optimize such problems, such as dynamic programming, enumeration, pruning and bounding, greedy algorithms, backtracking, etc. With the advent of some modern heuristics, such as swarm intelligent optimization algorithms, more options have been provided for solving such problems. The Gene-tic algorithm is one of the most commonly used algorithms. The idea of this paper is as follows: firstly, the mathematical model of 0-1 knapsack problem is given, combining the characteristics of the model, the idea of double structure is introduced, combined with the greedy algorithm, the two-step method of value factor is proposed, and the secondary selection coding is carried out. In the selection operation, recombination is used to improve the convergence of the following algorithm. Compared with the traditional binary genetic algorithm, the genetic algorithm with penalty terms and the Standard Genetic Algorithm (SGA), the convergence of the improved binary genetic algorithm is significantly improved.
Research on improved Astar algorithm based on domain expansion strategy

This paper proposes an improved Astar algorithm based on domain expansion strategy to address the problem of traditional Astar algorithms that plan paths that are not globally optimal and have large path lengths. Specifically, expanding the traditional Astar algorithm's eight search domains to 24 domains, increasing the search scope; optimizing the heuristic function by using a dynamic weight heuristic function instead of the traditional one. In order to verify the effectiveness of the improved Astar algorithm, simulation experiments were conducted on both the traditional Astar algorithm and the improved Astar algorithms in the same environment. The simulation results show that compared to the traditional Astar algorithm, the improved Astar algorithm based on domain expansion strategy planned has a shorter planned path, lower total path cost, and better overall search performance.
Make-or-buy decisions in research and research software

Make-or-buy decisions are common in business and research. They often involve an analysis of the pros and cons of creating something (e.g., a physical item, software, a service) vs. acquiring it from someone else.
SISTEM INFORMASI GEOGRAFIS UMKM ASMAMI (ASOSIASI MAKANAN DAN MINUMAN) DI KOTA BONTANG

The ASMAMI organization (Food and Beverage Association) is experiencing problems, namely not having a system that can manage and present geographic information for mapping MSME locations, making it difficult for the community to obtain information on partner data and ASMAMI MSME locations in Bontang City. In addition, the ASMAMI organization in registering and collecting data on partners still uses documents in the form of hardcopy forms. So if there are potential partners who want to register, they must come directly to the ASMAMI secretariat to take and fill out the registration form provided. Meanwhile, document storage is in the form of an archive folder. This has the potential for errors and data loss. In an effort to deal with this problem, an ASMAMI (Food and Beverage Association) MSME Geographic Information System was designed in Bontang City using the CodeIgniter framework. This system was built using the waterfall system development method and tested using the black box method. The results of this study are the MSME Geographic Information System ASMAMI (Food and Beverage Association) in Bontang City which can present maps and profiles of MSMEs and can register and collect data on MSME partners online. In addition, this system is also equipped with a route feature from the visitor's position to the partner's position to be addressed.
Functions and principles of creating quality information support for the educational space of higher education institution

The article reveals the main provisions and shows the necessity of informatization of the educational space of the higher school at the current stage. The purpose of the article is to show the necessity and to define the main provisions of the informatization of the educational space of the higher school at the current stage to ensure the quality education of those seeking education. The methodology of the article characterizes the totality and connection of the following methodological techniques: competence, acmeological, systemic, interdisciplinary, personal-activity, comparative, prognostic; methodological principles of research; patterns of educational and professional activity; global trends in the development of informatization of the educational space of a higher school to ensure quality education of education seekers; trends of globalization. The article reveals the requirements for informatization of the educational space of a higher school, lists the advantages, shows the main positions of the teacher's role in creating an informational educational space using computer technologies. The most important educational areas of high-quality education of education seekers with the help of informatization of the educational space of the higher school during pedagogical interaction, which create decent conditions in educational activities, are singled out.
Design Electric Bells to Improve Kinesthetic Intelligence for the View Image in the Library and Archive Department of Bengkulu Province

This study aims to design an electric bell and determine the kinesthetic improvement ability of visually impaired people after using the Dewey Decimal Classification (DDC) listicv bell as an information guide. When a visitor wants to know the braille book, title, location, and classification of Dewey (DDC) then it is necessary to press the DDC bell and it will ring. People with visually impaired disabilities were the subjects of this study, and ten people as the object. Data collection using Tests, interviews, and documentation is used to collect data. The method used quantitative experiments. In addition, descriptive analysis showed that the average pre-test score was 25.87 and the average post-test score was 21.05. so Ha is accepted and Ho is rejected. The results of the study stated that the use of the Dewey electric bell (DDC) by the Bengkulu Provincial Library and Archives Service affected the kinesthetic ability of movement, visual and motor recognition of book classifications for the visually impaired.
AGRICULTURAL OUTPUT-FOOD PRICE NEXUS AND HOUSEHOLDS’ WELFARE IN NIGERIA

This paper evaluates agricultural output-food price nexus and the welfare of households in Nigeria. The study is essentially secondary data based and utilized the Autogressive Distributed Lags (ARDL) approach for its analysis. Findings revealed that agricultural output had no significant impact on households’ welfare in Nigeria. It was also shown that government spending on agriculture was unable to significantly boost food production and hence food security in Nigeria during the time under reference. This portends grave concerns for the future, and in light of this, the government should reassess its current insignificant allocation to the sector. The study also recommends that government should provide funding to enhance technology in food production through the acquisition of sophisticated farm tools (harvesters, tractors, herbicides, and fertilizer) and the construction of irrigation /storage facilities, as well as the establishment of food processing industries throughout the country, in order to enable farmers to increase productivity, leading to reduced food prices and enhanced welfare for the citizenry.
The implications of leveraging machine learning and artificial intelligence for the transformation of adult education and vocational training

In today's dynamic society, the significance of adult education and training has escalated, paralleling the rapid evolution of various industries. As the landscape of work undergoes swift modifications, the demand for contemporary skills has amplified, exerting immense pressure on the educational framework. The combination of machine learning and artificial intelligence delivers a compelling avenue for enhancing the landscape of adult learning and training. This integration also offers a potential trajectory for making transformative advances in the field of study. This area of research aims to look extensively into the substantial impact that will result from the use of machine learning and artificial intelligence within the context of the field of adult education and training. Its fundamental objective revolves around a comprehensive investigation and meticulous analysis of the transformative potential of these technologies. The paper will delve into an intricate exploration of the theoretical underpinnings, elaborate research methodologies employed discernible influences on the domain of education and training, prevalent challenges, and a forward-looking perspective to envision the potential trajectory of this fusion.
AN AUGMENTED REALITY GAME FOR IOS SMARTPHONES

Augmented reality is a technology that is constantly expanding and has great potential for application in the most diverse areas. This technology is able to integrate virtual objects in physical spaces in a natural way. In addition, games stimulate
FACE RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORKS: A SURVEY

Face recognition technology uses Deep Convolutional Neural Network (DCNN) to extract biometric features for identity authentication. It has been used in various application domains, including military, law enforcement, finance, public security, and
Liability In The Cyber Space In Tanzania: A Focus On Internet Service Providers

Internet Service in Tanzania is provided by different vendors, both public and private. These providers are known as Internet Service Providers (ISPs). This paper examines ISPs as provided by The Electronic and Postal Communications Act, 2010, The Tanzania Communications Regulatory Authority Act, 2003 and The Cybercrimes Act, 2015. The focus is on the nature of liability, extent of liability, and legal basis for such liability. Upon comparison of the nature of liability in Tanzania with selected jurisdictions, The study found that, unlike in the United Kingdom (UK), the United States (US) and India, where the nature of liability is mainly civil, in Tanzania liability of ISPs leanest more towards criminal as opposed to civil liability.
Analytical Study of Face Recognition Methods Using Machine Learning

Many facial recognition algorithms, as well as their adaptations, have previously been devised during the last decades. A number is indicated for standard algorithms. They are divided into two categories: appearance-based and model-based. Three distinct linear subspace analysis strategies for appearance-based processes are presented, along with a brief examination of numerous non-linear manifold analysis approaches for face recognition. Elastic Bunch Graph matching, Active Appearance Model, and 3D Model processes are discussed. A vast variety of publicly available face datasets and performance evaluation ratings are examined. Based on previous recognition outcomes, more study areas are recommended. Face recognition has piqued the interest of academics in biometrics, pattern recognition, and computer vision. Previous research in this field had a basic fault in that it was designed to recognize just single faces, resulting in a long detection time and additional time for annotation. The goal of this study is to create a face recognition system that makes use of a machine learning algorithm and principal component analysis (PCA). The study makes use of linear discriminant analysis, multilayer perceptrons, Naive Bayes, and support vector machines. Furthermore, it obtained 97% and 100% identification accuracy, respectively, using PCA and linear discriminant analysis. The extensive comprehension CNNs are the most frequent form of machine learning algorithm used for facial recognition. CNNs are a sort of artificial neural network that performs exceptionally well at image categorization. Face recognition is a popular topic in artificial intelligence. This program was widely used in our daily life. Several face recognition devices were installed on phones to protect private information and utilized on Facebook to quickly recognize when Facebook users appeared in photographs. Several face recognition algorithms have previously been developed; yet, it remains incredibly difficult in real-world situations. A basic technique for differentiating people is influenced by factors such as partial facial occlusion, illumination, and posture variance.
FORMATION OF EDUCATIONAL SELF-ORGANIZATION OF STUDENTS OF PEDAGOGICAL SPECIALTIES OF THE COLLEGE THROUGH THE USE OF INFORMATION AND EDUCATIONAL RESOURCES

The article considers the role of students in the development of an electronic educational and methodological complex (hereinafter referred to as EEMC) on subject “Methodology of information and communication technologies application in the educational process”, as well as their role in its introduction into the educational process.
Revisiting Requirement Problems and Their Solutions

Remember, Chapter 1 talked about problems caused by requirements.