Reviewerly/exHarmony huggingface dataset:
Generating Hypotheses

Along with the creation of minimum viable games (MVGs), hypotheses are one of the most important parts of an inception because they guide and measure your product through iterations. The MVGs determine which set of activities must be done, while hypotheses allow you to validate if your MVGs have the desired effect and if the product’s vision is being met.
MVPs: Do We Really Need Them?

In this chapter, you learn what a minimum viable product (MVP) is and how it can be applied to game development. The chapter also covers how to deliver your game prototypes for validation and how to apply MVP canvas concepts to prioritize your prototypes. Finally, you learn how these concepts are developed in a real project.
Grey Wolf Optimizer-Based Decentralized Service Discovery in the Internet of Things Applications

Introduction: The Internet of Things (IoT) has emerged as a significant technology in recent years, wherein each object is equipped with sensors and applications that provide functionality through services. Due to the increasing benefits of heterogeneous objects with constrained resources in high environments, traditional service discovery approaches become impractical for dynamic IoT networks. Therefore, service discovery poses a considerable challenge for the Internet of Things. Methods: This paper introduces a novel decentralized discovery algorithm based on the Grey Wolf Optimizer (GWO) for IoT services. GWO is a recent metaheuristic in swarm intelligence designed to solve combinatorial optimization problems. Results: simulation results indicate that GWO achieves high discovery success with minimal steps required for service discovery. Conclusion: Our approach maintains its performance and exhibits good scalability as the number of objects increases in the decentralized approach for IoT.
Potensi Energi Angin Pada Kawasan Pesisir Pantai untuk Menghasilkan Energi Listrik

The purpose of this article research is to determine the potential of wind on the coast to produce electrical energy. Wind can be interpreted as air that moves due to temperature differences, both are hot temperatures and cold temperatures. The need for energy, especially electrical energy, in Indonesia is increasing and becoming an inseparable part of society's daily needs. From this background and problem formulation, a research study was carried out which focused on wind energy sources on the coast.
Analisis Efek Rumah Kaca serta Teknologi Penanggulangan Efek Rumah Kaca yang Terbarukan

Global warming is an increase in global temperature at the Earth's surface (within several thousand kilometers) compared to the normal/average value recorded over a standard period (World Meteorological Organization/WMO measurements: at least 30 years). Global warming is one of the impacts caused by the greenhouse effect. The greenhouse effect is a condition where the surface temperature of a celestial body, such as a planet or star, increases rapidly. This increase in temperature is caused by changes in the composition and conditions of the atmosphere around the object. The greenhouse effect can be caused by human activities and can occur naturally due to natural events such as forest burning due to a prolonged dry season. Basically, the greenhouse effect is very difficult to overcome, but we can reduce the greenhouse effect by using environmentally friendly energy such as renewable energy. With the rapid development of technology in this modern era, there are many renewable technologies that can be developed and utilized. This analysis aims to determine the process, causes and consequences of the greenhouse effect as well as the development and use of renewable energy technology to overcome the greenhouse effect.
Analisis Potensi Angin Berbasis IoT (Internet of Things) Di Daerah Kawasan Pesisir

This research aims to analyze the potential of IoT (Internet of Things) based wind around coastal areas. The research method used is a literature review. Based on this, the data used was obtained from various national and international scientific articles in the form of descriptions. Wind is air that moves from areas that have high pressure to areas that have low pressure. Technological developments provide convenience for human needs. One of them is the application of Internet of Things-based technology to detect wind speed and direction. Based on information obtained from several research journals, the researchers succeeded in detecting wind speed and direction using IoT-based tools. The devices that the researchers used were microcontrollers, Android, power supplies, optocoupler sensors, and magnetic field sensors. So the tool used is designed first to detect wind speed and direction and then the information or data will be stored in a database and can be accessed via the website.
Evaluación del uso de las TIC en el ámbito de la expresión y comunicación en la educación inicial

The book gathers the memories of the "I Symposium of Scientific and Formative Research". This event, which took place with singular success on November 9 and 10, 2023 at the campus of the Universidad Técnica Luis Vargas Torres de Esmeraldas, Sede La Concordia, stands as a beacon that illuminates the path of research from the classroom to the university.
Impact Study on the Implementation of Cal-Defll’s English Me Please Extension Program: Writing an Action Research with Editing and Proofreading Techniques 2017-2020

Asst. Prof. , East African Scholars J Edu Humanit Lit; 2023; 6(12): - DOI: Abstract PDF FULL TEXT E-PUB17 Downloads | Dec. 9, 2023 ABSTRACT The impact study involved 16 teacher-trainees of the Holy Spirit National High School who attended the free training on writing an action research with proofreading and editing techniques which was offered by the Department of English, Foreign Languages and Linguistics as part of its extension program. The quantitative data which were collected through a survey revealed that the participants who have been teaching for more than 11 years have gained self-confidence in writing research using the English language followed by the second impactful gain which is being promoted to a higher rank. The write-shop part was chosen by the majority as the key factor to the effectiveness of the training.
Las TIC y el acompañamiento parental en el aprendizaje de niños del nivel inicial

The book gathers the memories of the "I Symposium of Scientific and Formative Research". This event, which took place with singular success on November 9 and 10, 2023 at the campus of the Universidad Técnica Luis Vargas Torres de Esmeraldas, Sede La Concordia, stands as a beacon that illuminates the path of research from the classroom to the university.
Manifold embedded global and local discriminative features selection for single-shot multi-categories clothing recognition and retrieval

Purpose Single-shot multi-category clothing recognition and retrieval play a crucial role in online searching and offline settlement scenarios. Existing clothing recognition methods based on RGBD clothing images often suffer from high-dimensional feature representations, leading to compromised performance and efficiency. Design/methodology/approach To address this issue, this paper proposes a novel method called Manifold Embedded Discriminative Feature Selection (MEDFS) to select global and local features, thereby reducing the dimensionality of the feature representation and improving performance. Specifically, by combining three global features and three local features, a low-dimensional embedding is constructed to capture the correlations between features and categories. The MEDFS method designs an optimization framework utilizing manifold mapping and sparse regularization to achieve feature selection. The optimization objective is solved using an alternating iterative strategy, ensuring convergence. Findings Empirical studies conducted on a publicly available RGBD clothing image dataset demonstrate that the proposed MEDFS method achieves highly competitive clothing classification performance while maintaining efficiency in clothing recognition and retrieval. Originality/value This paper introduces a novel approach for multi-category clothing recognition and retrieval, incorporating the selection of global and local features. The proposed method holds potential for practical applications in real-world clothing scenarios.
A dual-stage hybrid network for single-shot fringe projection profilometry based on phase-height model

Single-shot fringe projection profilometry (FPP) is widely used in the field of dynamic optical 3D reconstruction because of its high accuracy and efficiency. However, the traditional single-shot FPP methods are not satisfactory in reconstructing complex scenes with noise and discontinuous objects. Therefore, this paper proposes a Deformable Convolution-Based HINet with Attention Connection (DCAHINet), which is a dual-stage hybrid network with a deformation extraction stage and depth mapping stage. Specifically, the deformable convolution module and attention gate are introduced into DCAHINet respectively to enhance the ability of feature extraction and fusion. In addition, to solve the long-standing problem of the insufficient generalization ability of deep learning-based single-shot FPP methods on different hardware devices, DCAHINet outputs phase difference, which can be converted into 3D shapes by simple multiplication operations, rather than directly outputting 3D shapes. To the best of the author's knowledge, DCAHINet is the first network that can be applied to different hardware devices. Experiments on virtual and real datasets show that the proposed method is superior to other deep learning or traditional methods and can be used in practical application scenarios.
Statistal Methods of Bus Passenger Flow Based on Improved YOLOv5s and DeepSORT Algorithms

Aiming at the problem of low tracking accuracy in the statistics of bus passengers getting on and off, an improved passenger flow statistics algorithm based on YOLOv5s combined with DeepSORT is proposed. The GAM integrated into Group Convolution and ChannelShuffle is integrated with the backbone and neck parts of the YOLOv5s network structure to enhance the network feature extraction capability. The Decoupled Head is replaced by the YOLOv5s detection head to improve the detection accuracy of passengers in crowded situations. Alpha-IoU is used as the target frame regression loss to further improve the positioning accuracy. The improved YOLOv5s is connected with DeepSORT, and detection lines are set up in the monitoring video of the front and rear doors of the bus to count the flow of passengers getting on and off. The experimental results show that our algorithm in this paper is 1.1% and 8.5% higher than the YOLOv5s algorithm in mAP0.5 and mAP.5:.95, respectively. After connecting DeepSORT, the passenger flow statistics in the scene of getting on and off the bus, the accuracy rate reached 96.8% and 98.1%.
Unpaired Image Dehazing for Real Hazy Images

Recently, image dehazing has achieved good performance benefiting from deep learning, but most of them are aimed at synthetic hazy images that have corresponding haze-free images. However, in some practical applications, the acquired images always contain haze in hazy weather, which makes it difficult to obtain pairs of haze-free images. Therefore, image dehazing for real hazy images is very important and challenging because there are no corresponding haze-free images. Therefore, we propose an unpaired image dehazing method to solve the dehazing problem of unpaired real hazy images, which contains the unpaired training module and the supervised training module. For the unpaired training module, we first use a cycle generative adversarial network to generate dehazed images. Then, we use perceptual loss to make the features of dehazed images and unpaired haze-free images more consistent to improve image dehazing performance. Finally, we use instinct properties of clear images to further improve image dehazing performance. For the supervised training module, we design a pseudo labelling scheme to train the model using dehazed images generated from the unpaired training module as pseudo haze-free images, so that we can conduct supervised training to further increase the performance of image dehazing. In addition, we collect a real hazy image dataset from real high-speed railway scenarios, named the HRHI (High-speed Railway Hazy Image) dataset, which contains real hazy images and unpaired haze-free images. To verify the generality of our method, we also collect a real sandstorm image dataset from real high-speed railway scenarios, named the HRSI (High-speed Railway Sandstorm Image) dataset. Expensive experimental results on the HRHI and generic hazy image datasets show the effectiveness of our method, and the experimental results on the HRSI dataset prove the generality of our method.
Study on the Relationship between Career Happiness and Turnover Intention of Teachers in Private Universities

This paper aims to explore effective countermeasures to reduce the turnover tendency of teachers in private colleges and universities, and analyze the role of mental health support and career development planning in improving teacher satisfaction and stabilizing the team. By improving the working environment, providing mental health services, and establishing clear career paths and training programs, schools can effectively reduce teachers' work stress and enhance their professional identity. In addition, paying attention to teachers' mental health status and providing personalized support can help prevent and solve potential psychological problems. Through the countermeasures proposed in this paper, we are expected to provide substantial guidance for improving the job stability and happiness of teachers in private universities.
Exploring Early Childhood Pre-service Teachers’ Emotions during Student Teaching through Their Emotion Log

The current study explored early childhood pre-service teachers’ emotions and experiences during student teaching through their daily emotion logs. Fifty students who enrolled in student teaching courses at one 4-year university in a G-province participated in this study. Throughout 19 days in their student teaching, 815 emotion logs were collected. Word Cloud was utilized to visualize the tendency of pre-service teachers’ emotions during student teaching. As a result, emotions of worries, happiness, satisfaction, and sense of accomplishment were prominent in the first week, emotions such as tranquility and respect were appeared in the second week, emotions of confusion, fear, and anxiety were reported frequently in the third week, and emotions of happiness, worries, satisfaction, and tranquility were reported often in the last week. Also, to examine the meaning of student teaching for pre-service teachers, emotion logs were analyzed. Emerging themes include vague worries and fear, tiredness and fatigue, sense of belonging, lack of capability after the first teaching, and sense of expectancy. The findings of this study will contribute to teacher preparation programs to better understand and better support pre-service teachers’ student teaching experiences.
The Impact of MBTI Understanding on Life Satisfaction of Colleage Students : The Moderating Effect of Self-Acceptance

The aim of this study was to explore how college students’ MBTI understanding influences their life satisfaction and the moderating effect of self-acceptance on this relationship. For this study, an online survey of 351 college students on MBTI understanding, life satisfaction, and self-acceptance was conducted and analyzed. Descriptive statistics, correlation analysis, and SPSS Macro bootstrapping methods were applied to verify the moderating effects. The result showed that, first, college students’ higher MBTI understanding was associated with higher life satisfaction. Second, self-acceptance moderated the effect of MBTI understanding on life satisfaction of college students. In the group with high self-acceptance, life satisfaction was higher in the group with high MBTI understanding than in the group with low MBTI understanding. But, the group with low self-acceptance showed less change in life satisfaction with MBTI understanding. Based on these findings, we discussed how self-acceptance works in that MBTI understanding increases the satisfaction with the life of college students.
“Tortured and Long Delayed”—Fixed-Wing Search and Rescue Airplanes

The “fixed-wing search and rescue” (FWSAR) aircraft project was designated a federal priority in the Chrétien government. Designed to replace five-decade-old CC-130H “Hercules” and CC-115 “Buffalo” airplanes, the Harper government committed itself to the FWSAR but by 2009 it was mired in allegations of requirements “rigging” by air force personnel in favour of one aircraft. The project was halted and then restarted in 2010. A contract was finally awarded to European manufacturer Airbus Defence and Space in December 2016. Software problems have pushed the initial operation of the fleet from 2021 to 2025–2026.
THE MARKETING STRATEGY OF SMALL AND MEDIUM ENTERPRISES PRODUCTS THROUGH LANGUAGE LITERACY IN KALANGANYAR TOURISM VILLAGE

Marketing language literacy is a communication skill that must be mastered by business people in Kalanganyar tourist village. UMKM business from processed fish becomes a product that can have high competitiveness if it has a good marketing method to consumers. Kalanganyar tourism village is a fostered area or cooperation partner who will implement an international standard tourist village and language literacy is the answer to the problems of people who do not master this marketing language literacy. Community service in the tourist village of Kalanganyar aims to create a community of business people who can practice the language of communication in English in sales and purchasing activities. In addition, knowledge of an effective marketing system is given to business people to equip the community in marketing processed products online and offline with special language literacy, namely marketing English. With the strengthening of language literacy and a reliable marketing system, the vision and mission of an international tourist village can be realized gradually and is expected to encourage Kalanganyar community to realize the tourism village program.
Implementasi Metode Agile Software Development Extreme Programming Pada Sistem Informasi Pendaftaran Laboratorium

Laboratory registration activities at the Hospital require good management, starting from registration, and laboratory results, this registration is still conventional where recording and reports still use paper media that is prone to tearing or loss, mistakes often occur in unexpected data storage, so from the existing problems, the author tries to design a web site portotype of laboratory registration information system design, which is used by internal circles, this design uses data collection by observation or research, interviews and literature studies, database design using Enterprise Relationship Diagrams, Logical Restructuring , as the development and design of a system with a new system can be expected to help facilitate the work of managers and the resulting information is faster, more accurate and precise in making reports, making this prototype using several software and tools such as Java, Balsamic, and MySQL.
DIGITAL TRANSFORMATION IN OPEN EDUCATION FOR DIGITAL CITIZENSHIP TRAINING

Digital transformation can be considered as an inevitable process of any organisation to serve the increasing demand for creating new values based on innovation, creativity, and effectiveness in accordance with customer experience. In this race, all organisations, large or small, are in the process of implementing, and the more well-prepared, the more competitive advantage they have. Under the pressure of an environment that promotes culture to create new values of products and services, education, especially open education, must improve the quality to meet the needs of society in lifelong learning for the whole population. This article analyses the role of digital transformation in the national education system, the importance of digital transformation for open education in the current period, and the relationship between open education and digital citizenship. On that basis, the author proposes implementing digital transformation in open education to serve digital citizenship training.
PENGEMBANGAN BAHAN AJAR KIMIA MENGGUNAKAN SOFTWARE ADOBE FLASH CS6 PADA MATERI SISTEM KOLOID

This research was the development of chemistry teaching materials using Adobe Flash CS6 software which aimed to determine the feasibility level, readability level, and student response to chemistry teaching materials on the subject of colloid system. The development of this teaching materials used the ADDIE development model which was limited to the implementation stage. The research was conducted at MAN 1 Bengkulu City with the research subjects being 9 students of class XI IPA 2 for the teaching materials readability test and all students of class XI IPA 2 totaling 33 students for testing student responses to the teaching materials. From the results of the study, it was found that (1) the feasibility level of this teaching materials was 88.33% meanwhile the result from the media aspect was 87% therefore based on the validation results by the validator of the teaching materials developed using Adobe Flash CS6 software it was declared very valid, (2) based on the results of the teaching materials readability trial, the average percentage of teaching materials readability obtained was 84.04% with a very valid category, (3) based on the product trial, the average student response was 89.67% with a very valid category. &#x0D; Keywords: Teaching Materials, Adobe Flash CS6, Coloid System
PENGEMBANGAN E-MODUL KIMIA BERBASIS INTRODUCTION, CONNECT, APPLY, REFLECT, EXTEND (ICARE) PADA MATERI REAKSI REDOKS

This study is a research and development of ICARE-based chemistry e-modules that aims to determine the feasibility of e-modules, student responses, and improvement of student learning outcomes. The development model used is analysis, design, development, implementation, evaluation (ADDIE). The research was conducted at SMA Negeri 2 Seluma from January to August 2022. The subjects of this study were X IPA 2 and X IPA 3 students in the 2022/2023 school year who were selected based on simple random sampling techniques with a population of 3 classes, which were then tested for normality and homogeneity so that normal and homogeneous classes were obtained, namely X IPA 2 class for small group tests and X IPA 3 for large group tests. The instruments in this study were interview sheets, validation sheets, student response questionnaires, and tests. From the results obtained (1) ICARE-based chemistry e-modules were declared very feasible by media and material experts with a percentage of 98.88% media aspects and 91.25% material aspects, (2) Student responses to ICARE-based chemistry e-modules were in the very good category with an average percentage of 90.23%, and (3) After using ICARE-based chemistry e-modules on redox reaction material, there has been an increase in student learning outcomes as measured by an average N-gain score of 0.69 on moderate criteria. The results of the development of ICARE-based chemistry e-modules are very feasible to use in the learning process and proven to improve student learning outcomes.&#x0D; Keywords: e-module, development, ICARE, learning outcomes