Reviewerly/exHarmony huggingface dataset:
Gesture Recognition Using Hand Region Estimation in Robot Manipulation

In this study, we propose a gesture recognition method for operating an unmanned aerial vehicle (UAV) equipped with only a single camera. This method uses a neural network to estimate the 2D coordinates of a hand region in an image from color information. From the time series data of hand coordinates, we estimate the gesture motion by 1D Fast Fourier Transform. The proposed method identifies seven types of gestures and manipulates the UAV. The accuracy and usefulness of this method are confirmed by experiments of UAV movements in response to gestures.
A Structural and Functional Design for Resource Deployments in Ad Hoc Multimodal Service Systems

Many service systems such as transportation and logistics systems provide multimodal services with various resources, where how a service is provided to customers including the resources assigned to the service is often designed in advance of the service operations. However, due to increasing dynamics and uncertainty in certain situations, the needs for quickly designing and deploying ad hoc service systems in response to urgent and unexpected events occurred during the service provision have become significant. Motivated by this, we present a structural and functional design that supports Ad Hoc Multimodal Service System (AHMSS) deployment with a focus on a structure of the system, constraints governing the decisions involved in the system, and functions required for the system operation. The proposed design solution provides the basis for developing a decision support system for AHMSS deployment.
What worries farmers? An analysis of the queries raised at Kisan Call Centres

This study uses the text data fromthe queries raised at KCC from thefarmers of Nizamabad district ofTelangana during the agriculturalyear 2016-17 to identify theproblems often encountered by them.There were 1,384 queries raised bythe farmers of which most of thequeries were on weather and plantprotection (72.8% together). Fromthe word cloud drawn, it is observedthat a noticeable number of queriesare related to weather underlining theimportance of timely communicationof weather information to thefarmers. The results highlight theneed for popularizing other ICTinterventions like push messages andweather apps to send timely weatherrelated information to farmers.
Relationship Play Online Games With Motivation Learning In Teens

The use of uncontrolled games in adolescents can affect the learning process in school, especially the interest or desire to learn teenagers become reduced or can even disappear, this can certainly interfere with the child's education in the future. The decrease in students' desire to learn seriously can be influenced by the motivation of the student itself, namely the motivation of the student. The purpose of this study is to find out the relationship of playing online games with learning motivation in the youth of SMPN 41 Bulukumba students. This study uses an analytical observational research design with a "cross-sectional" approach. The sample of this study as many as 47 respondents were taken by purposive sampling method. Analysis of the data in this study using statistical tests Kolmogorov Smirnov. The results of the analysis used a statistical test Kolmogorov Smirnov with a confidence level (α=0.05). Based on the results of this test, the p-value was 0.019, thus p &lt; α (0.019 &lt; 0.05), then Ho was rejected and Ha received with a correlation value of r = - 0.420. The conclusion of this study is that there is a relationship between playing online games and learning motivation in adolescent students of SMPN 41 Bulukumba who are not in the direction of moderate correlation strength with a value of r = -0.420. Researchers suggest that the results of this study can be used as learning for students in order to divide time well between playing games with learning. In addition, further researchers also expected additional variables that may also affect many things in this study and also the addition of the number of research samples.
Digital Student ID, Identity Management and Internet of Everything in Education During COVID-19

In the conditions of the new reality imposed by COVID19, certain organizational problems of online teaching are noted worldwide. These problems can be classified into two main categories. The first category includes ICT support of the online educational processes, such as internet grants and appropriate hardware and software, for general and individual usage. The second category includes the creation of digital identities through a special category of smart cards, known as digital ID cards or e-ID cards. Starting with an overview of the different types of smart cards, this paper explores the potentials of applying e-ID cards to students in educational processes and beyond. Different stages of development and implementation are considered, such as linking the personal data included in the student еID cards with management systems and the Internet with everything As an integral part of this paper, a questionnaire was made about the opinions of students, regarding the possibilities and areas of using student e-ID.
The Model of Soft Skills Development of a Teacher under the New Educational Paradigm: Competencies, Values, Behavioral Indicators, Results

The role of soft skills in the process of professional development of employees in all organisations has been increasing recently. However, the importance and necessity of teachers' soft skills and, therefore, their formation among students studying in pedagogical areas are not yet adequately realized by many participants in the educational process. A comparative analysis of hard skills and soft skills was conducted and their components were evaluated. An analysis was conducted to assess the labour market needs for new qualifications. This made it possible to design a model of a modern teacher with skills relevant to the realities.
LibGuides: LibGuide Best Practices: Writing for the Web

TCC Library's best practices, standards, and guidelines to follow when creating and updating LibGuides.
A Nature-inspired Algorithm based on Classical-conditioning Theory

Nature-inspired algorithms are the imitation of nature opened a new era in calculations for solving optimization problems. In this thesis, we will provide an optimization algorithm inspired by nature using the instinctive behavior of birds. In this thesis, particles learn to have a conditional normal behavior towards an unconditioned stimulus using the classical conditioning learning behavior of birds. Particles will be divided into multiple categories in the problem space. If any particle had a low-level category, it will try to move towards its best personal experience. If any particle had a high-level category, it will learn to move towards the global optimum in its category. Using the idea of birds’ sensitivity towards the environment, in which birds are flying, we tried to move particles in incompetent spaces more quickly so that the particle goes far away from that space, and vice versa, we will bring down the particles’ speed in valuable spaces to search for more. We selected a population based on the particles’ merit in the initial population selection using the instinctive behavior of birds. The proposed method was implemented in MATLAB software, and the results have been compared in several different ways. The results showed that the proposed method is a reliable algorithm to solve the static problems.
Evaluation of the Relationship Between Ground Observed fPAR and Sentinel-2 Derived Vegetation Index in Four Japanese Temperate Forests

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Evaluation of the Relationship Between Ground Observed fPAR and Sentinel-2 Derived Vegetation Index in Four Japanese Temperate ForestsAuthorsHirohikoNaganoiDReiShibataYuzuhaIzumiHirokiAkitaSee all authors Hirohiko NaganoiDCorresponding Author• Submitting AuthorNiigata UniversityiDhttps://orcid.org/0000-0002-3090-7709view email addressThe email was not providedcopy email addressRei ShibataNiigata Universityview email addressThe email was not providedcopy email addressYuzuha IzumiNiigata Universityview email addressThe email was not providedcopy email addressHiroki AkitaNiigata Universityview email addressThe email was not providedcopy email address
A gestão dos dados de pesquisa nas universidades e o papel dos serviços informacionais oferecidos nas bibliotecas: Uma revisão narrativa

The growth and speed of production of scientific data are an effect of the information explosion and are conditioned to the scientific development of recent times. Adopting strategies for managing scientific data is a challenge that affects different characters and institutions in the academic environment, such as librarians and libraries. This article is a narrative review, part of an ongoing thesis, and presents preliminary evidence about the management of scientific data at universities and the role played by information services in this process. From the analyzed studies, it was realized that librarians and libraries can contribute a lot to data management, whose developed activities make up instructional and orientation actions, digital curation and planning. It is concluded that the work to be developed needs to be integrated, contemplating the data life cycle and all agents involved with scientific research in universities.
Adoption of IoT-based Smart Healthcare: An Empirical Analysis in the Context of Pakistan

Recent smart innovation of Information and Communication Technology (ICT) is available today. The Internet of Things (IoT) is a live information network of smart things equipped with sensing and actuating mechanisms and software code empowering devices and gadgets to apprehend and communicate information. IoT has been conveying remarkable development in IoT-based or smart healthcare with suitable biomedical frameworks that allow medical professionals to remotely collect and assess patients' clinical information through health sensors. This study aims to provide access to medical services in under-served areas for the population living in rural areas and to use proficiently limited healthcare resources in developing countries like Pakistan. However, an investigation is accomplished by developing a successful research framework to know key significant and insignificant factors for adopting IoT-based smart healthcare among medical professionals in Pakistan. The quantitative research findings obtained a significant score of the factors, i.e., performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), perceived severity (PS) of health risk, and doctor-patient-relation (DPR) that revealed progressive intention of medical professionals in adopting of IoT-based smart healthcare for improving inadequate conditions of healthcare in under-served areas of Pakistan. Keywords: Internet of Things, smart healthcare, mHealth.
ASSESSING ABILITY ON SPEAKING ENGLISH OF STUDENTS OF SMPN NEONBAT

The current research was carried out in order to answer the following questions: 1) What are the level of the students’ ability in speaking English and 2) What are the difficult aspects in speaking English. This research was conducted on the students of grade VIIIA of SMP Negeri Neonbat, in North Central Timor Regency. The subject of the research was the eighth grade students consisted of 20 students. A speaking test, observation and documentation were the instruments for collecting the data. The researcher took three topics in speaking test mentioned as: 1) telling short story, 2) telling daily activity and 3) describing people.  In analyzing the data, the researcher implemented qualitative method. The data then be analysed following eight steps as follows: 1)playing the record, 2) replaying the record, 3) transcribing, 4) codifying, 5) categorizing, 6) tabulating, 7) analysing and 8) discussing. Based on the result of the data analysis, it was found out that the students’ level of ability in speaking was good and the average score is 79.62. Vocabulary and grammar aspects are still difficult for the students in speaking English since the scores for those two aspects were lower than the aspects of pronunciation and idea. Keywords: assessing, speaking, ability.
Guaranteeing completely positive quantum evolution

In open quantum systems, it is known that if the system and environment are in a product state, the evolution of the system is given by a linear completely positive (CP) Hermitian map. CP maps are a subset of general linear Hermitian maps, which also include non completely positive (NCP) maps. NCP maps can arise in evolutions such as non-Markovian evolution, where the CP divisibility of the map (writing the overall evolution as a composition of CP maps) usually fails. Positive but NCP maps are also useful as entanglement witnesses. In this paper, we focus on transforming an initial NCP map to a CP map through composition with the asymmetric depolarizing map. We use separate asymmetric depolarizing maps acting on the individual subsystems. Previous work have looked at structural physical approximation (SPA), which is a CP approximation of a NCP map using a mixture of the NCP map with a completely depolarizing map. We prove that the composition can always be made CP without completely depolarizing in any direction. It is possible to depolarize less in some directions. We give the general proof by using the Choi matrix and an isomorphism from a maximally entangled two qudit state to a set of qubits. We also give measures that describe the amount of disturbance the depolarization introduces to the original map. Given our measures, we show that asymmetric depolarization has many advantages over SPA in preserving the structure of the original NCP map. Finally, we give some examples. For some measures and examples, completely depolarizing (while not necessary) in some directions can give a better approximation than keeping the depolarizing parameters bounded by the required depolarization if symmetric depolarization is used.
Post-COVID Riverside Concerts

Background This project was a continuation of my curatorial research work in developing new programming for large guitar ensemble and presenting it in innovative contexts. These concerts were unexpectedly challenging as they were presented after many months of not being able to hold in-person rehearsals and then having to rehearse socially distanced, which poses great difficulties for guitarists. Audiences had been starved of live music experiences and performers had become used to playing “small” at home in isolation. Programme length became strictly limited to 60 mins and in both instances, there were guest performers involved.Contribution This research contributes to exploring how an ensemble can rehearse socially distanced under strict government guidelines and still produce an artistically relevant output. The concert featured the premiere of various new arrangements for large guitar ensemble, both by Joe Fallon: “Carinhoso” by Alfredo Vianna and “Techno” by Jurg Kindle. It also marked the large ensemble premiere of “L’Evasion” by Piazzolla and “Tarantella” by Inti-Illimani. These works make important new contributions to the repertoire for large ensemble, works which can be prepared socially distanced.Significance These concerts were described by various audience members as Riverside’s best playing to date. These performances also chartered new territory in how a guitar ensemble can be presented ( socially distanced on stage). Both concerts reached near-capacity audiences in larger rooms than usual wwith necessary use of amplification. Pedagogically, , it is significant that in fact the ensemble showed notable musical benefit from being forced to rehearse socially distanced and this opens up hitherto unexplored new research directions for guitar ensemble rehearsal techniques.
Synthetic region screening and adaptive feature fusion for constructing a flexible object detection database

A large amount of training data (including samples and labels) are required to achieve the task of object detection. However, the construction of databases generally has several problems. The samples are not balanced. In some scenarios, very few or even no samples can be collected; manual collection and labeling are expensive. Obtaining samples from public object detection data sets is simple, but the categories that can be obtained are limited and cannot meet the needs of other detection tasks. Therefore, we propose a method to automatically construct a flexible object detection database and complete automatic labeling. Our main advantage lies in the proposed synthetic region screening and adaptive feature fusion algorithm, which generates sample images and corresponding annotation files that are similar to the real collection. Our algorithm has a stronger and more realistic synthesis ability for three-dimensional objects than other data synthesis methods. Our method improves the system’s object detection accuracy in the following ways: (1) it synthesizes a wider range of images for certain categories with few samples in the data set to solve the problem of sample imbalance; (2) it adds new categories to the public data set to meet the needs of rapid deployment of special object detection tasks; and (3) it fuses different foregrounds and backgrounds to enrich the diversity of database samples. To effectively evaluate the proposed method, we conducted experiments separately, and the experimental results proved that our method is superior to other existing data synthesis and data enhancement methods. Combining the generated samples with the real data set, the object detection accuracy value increased from 9.47% to 58.92%. Extending the objects of the self-collected data set to the public data set and automatically generating high-quality annotations, the detection accuracy of extended objects reached more than 50%.
Xampp/PHP Website Optimization

This Research paper talking about the different valuable instruments and procedures that are utilized in a advancement of website. We moreover examie around the method take after in website for the most part centered on a neighborhood have named Xampp device .Another, we compare diverse advancement systems web application. In expansion, we talk about life cycle show and system advancement of web application. In this report, different survey papers result too included for understanding of issues can be confronting by the clients. This Paper tells around the innovations utilized in this development, PHP and clarified in result its functionality with Xampp with screenshots. It is trusted it'll gives a valuable system for directing the method.
Solving large break minimization problems in a mirrored double round-robin tournament using quantum annealing

Quantum annealing has gained considerable attention because it can be applied to combinatorial optimization problems, which have numerous applications in logistics, scheduling, and finance. In recent years, with the technical development of quantum annealers, research on solving practical combinatorial optimization problems using them has accelerated. However, researchers struggle to find practical combinatorial optimization problems, for which quantum annealers outperform mathematical optimization solvers. Moreover, there are only a few studies that compare the performance of quantum annealers with the state-of-the-art solvers, such as Gurobi and CPLEX. This study determines that quantum annealing demonstrates better performance than the solvers in that the solvers take longer to reach the objective function value of the solution obtained by the quantum annealers for the break minimization problem in a mirrored double round-robin tournament. We also explain the desirable performance of quantum annealing for the sparse interaction between variables and a problem without constraints. In this process, we demonstrate that this problem can be expressed as a 4-regular graph. Through computational experiments, we solve this problem using our quantum annealing approach and two-integer programming approaches, which were performed using the latest quantum annealer D-Wave Advantage, and Gurobi, respectively. Further, we compare the quality of the solutions and the computational time. Quantum annealing was able to determine the exact solution in 0.05 seconds for problems with 20 teams, which is a practical size. In the case of 36 teams, it took 84.8 s for the integer programming method to reach the objective function value, which was obtained by the quantum annealer in 0.05 s. These results not only present the break minimization problem in a mirrored double round-robin tournament as an example of applying quantum annealing to practical optimization problems, but also contribute to find problems that can be effectively solved by quantum annealing.
Corporate governance and voluntary disclosure of sustainability performance: The case of Jordan

Non-financial information is subject to development based on the expectations of stakeholders. As the financial information alone no longer satisfies their desires, this has contributed to improving the phenomenon of disclosure for many countries, especially in issues related to sustainability. In Jordan, disclosure practices are still emerging and voluntary. This study, therefore, investigates the level of environmental, social, and governance (ESG) disclosure in the published annual reports of industrial companies listed on the Amman Stock Exchange and examines several factors related to corporate governance mechanisms and their impact on the level of disclosure. The current study used content analysis to determine the level of disclosure. The results showed that the level of disclosure on ESG performance is still weak. Still, it is developing over time in response to the pressure of stakeholders. The results also revealed a significant impact of the board size and board meetings on the ESG performance. In contrast, the results were disappointing concerning the rest of the proposed factors (non-executive directors, audit committee, auditor type, and board compensation). It did not play any role in explaining the practices of companies in the disclosure of ESG. The case study results help shed light on the interaction of the Jordanian industrial companies listed on sustainability issues. They are considered of interest to various stakeholders, regulators, and relevant government agencies and provide recent evidence of disclosure literature in emerging countries.
การวิจัยและพัฒนาระบบและกระบวนการผลิตและพัฒนาครูรายวิชาวิธีสอนชีววิทยา โดยบูรณาการแนวคิดจิตตปัญญาศึกษา ระบบพี่เลี้ยงและการเรียนรู้โดยใช้การวิจัยเป็นฐาน

The purpose of this research was to study the results of learning management in Biology teaching method 2 by integrating the concept of contemplative education, coaching and mentoring system and research-based learning. The subjects were 38 fourth year Biology Education program students who were enrolled the course methods of teaching in Biology 2 in the first semester of academic year 2016. Research tools were 1) the quality assessment of the lesson plan. 2) Questionnaires of students 'opinions on learning management. 3) students’ learning behaviour reflection 4) Learning Log and 5) Teaching Log. Data was analysed using frequency, percentage, mean, standard deviation and content analysis. The research found that the development of teacher production and training system on teaching biology through contemplative education, coaching & mentoring system and research-based learning had a result in the development of teaching and learning and help promote an effective teacher. Moreover, students were happy to study Biology teaching methods course and there were no major problems or obstacles that affected the learning management process integrating the concept of contemplative education, coaching and mentoring system and research-based learning.