Reviewerly/exHarmony huggingface dataset:
양자점 입도제어를 통한 양자점 감응형 태양전지 단락전류 향상

In this study, quantum dot-sensitized solar cells (QDSSC) using CdSe/ZnS quantum dots (QD) of various sizes with green, yellow, and red colors are developed. Quantum dots, depending their different sizes, have advantages of absorbing light of various wavelengths. This absorption of light of various wavelengths increases the photocurrent production of solar cells. The absorption and emission peaks and excellent photochemical properties of the synthesized quantum dots are confirmed through UV-visible and photoluminescence (PL) analysis. In TEM analysis, the average sizes of individual green, yellow, and red quantum dots are shown to be 5 nm, 6 nm, and 8 nm. The J-V curves of QDSSC for one type of QD show a current density of 1.7 mA/cm2 and an open-circuit voltage of 0.49 V, while QDSSC using three type of QDs shows improved electrical characteristics of 5.52 mA/cm2 and 0.52 V. As a result, the photoelectric conversion efficiency of QDSSC using one type of QD is as low as 0.53 %, but QDSSC using three type of QDs has a measured efficiency of 1.4 %.
Learning Accurate Entropy Model with Global Reference for Image Compression

In recent deep image compression neural networks, the entropy model plays a critical role in estimating the prior distribution of deep image encodings. Existing methods combine hyperprior with local context in the entropy estimation function. This greatly limits their performance due to the absence of a global vision. In this work, we propose a novel Global Reference Model for image compression to effectively leverage both the local and the global context information, leading to an enhanced compression rate. The proposed method scans decoded latents and then finds the most relevant latent to assist the distribution estimating of the current latent. A by-product of this work is the innovation of a mean-shifting GDN module that further improves the performance. Experimental results demonstrate that the proposed model outperforms the rate-distortion performance of most of the state-of-the-art methods in the industry.
ANALISIS OF TEACHER’S ROLE IN SBDP LEARNING AT FIFTH GRADE PRIMARY SCHOOL IN CLUSTER ONE OF TAMPAN SUBDISTRICTS PEKANBARU CITY

This research is a qualitative research. The purpose of this study is to describe the role of teacher’s in SBdP learning at fifth grade primary school in cluster one of Tampan Subdistricts Pekanbaru City. The data collection techniques in this study are observation, interview and documentation. The instruments used are: observation and interview guides that refer to indicators of the teacher's role in learning and have been validated by experts or validators. The subjects in this study were four fifth grade teacher’s primary school in Cluster one. The role of teacher in SBdP learning at fifth grade primary school in Cluster one of Tampan Subdistricts Pekanbaru City has been well implemented, but the implementation is not perfect. On the indicator teacher as demonstrator, teacher presents SBdP material in theory and practice. On the indicator teacher as class manager, teacher carries out SBdP learning in a thematic way and uses a scientific approach. On the indicator teacher as mediator, teacher uses pianics, pictures in student books, audio visual videos of the song Autum Flowers and human circulatory system as learning media. On the indicator teacher as facilitator, the teacher uses thematic printed books, worksheets books and books of national compulsory songs as learning resources. On the indicator teacher as evaluator, teacher has not yet carried out quiz, portfolio or project assessment, but teacher has carried out an assessment process.
New Features Selection Method for Multi-label Classification based on the Positive Dependencies among Labels

The problem of high dimensionality badly affects the accuracy of the classification task in both Single Label Classification (SLC) and Multi-label Classification (MLC). In fact, the problem is more worst in MLC; since the features in any instance are associated with different labels at the same time. Also, most datasets in MLC usually suffer from the high dimensionality problem, especially in the large-sized datasets where a dataset could have hundreds if not thousands of features. Therefore, this research is more interested in proposing a novel features selection method that is designed specifically to handle the problem of MLC. The proposed features selection method highly considers the existing dependencies among the class labels. Also, the proposed features selection method depends on the most frequent and strong labels combinations; since most instances in the datasets are linked to combinations of labels, and not to one class labels as have been assumed by the conventional features selection methods. An extensive evaluations of the proposed features selection method considering four different multi-label datasets and five popular Fuzzy-based classifiers revealed the superiority of the proposed features selection method and the significance of considering the frequent label combinations instead of the original class labels when selecting the features to be used in the classification step.
Improving Teachers 'Skills Through Simple Instructional Media Development Training

This training activity aimed to provide understanding & application of simple media to teachers at Kuncup Melati Sooko Kindergarten, Mojokerto. The subjects of this training were the early childhood teachers of Kuncup Melati Sooko Kindergarten. In implementing this training, the researcher used demonstration, practice, and discussion. These training results indicated that it increased the teachers' ability to develop simple media and their application in learning at the early childhood education level.
Nikunen, K. (2019). Media solidarities. Emotions, power and justice in the digital age. London: Sage. 208 pp.

Article Nikunen, K. (2019). Media solidarities. Emotions, power and justice in the digital age. London: Sage. 208 pp. was published on November 1, 2021 in the journal Communications (volume 46, issue 4).
Learning from Demonstrations with Energy based Generative Adversarial Imitation Learning

Traditional reinforcement learning methods usually deal with the tasks with explicit reward signals. However, for vast majority of cases, the environment wouldn't feedback a reward signal immediately. It turns out to be a bottleneck for modern reinforcement learning approaches to be applied into more realistic scenarios. Recently, inverse reinforcement learning has made great progress in making full use of the expert demonstrations to recover the reward signal for reinforcement learning. And generative adversarial imitation learning is one promising approach. In this paper, we propose a new architecture for training generative adversarial imitation learning which is so called energy based generative adversarial imitation learning (EB-GAIL). It views the discriminator as an energy function that attributes low energies to the regions near the expert demonstrations and high energies to other regions. Therefore, a generator can be seen as a reinforcement learning procedure to sample trajectories with minimal energies (cost), while the discriminator is trained to assign high energies to these generated trajectories. In detail, EB-GAIL uses an auto-encoder architecture in place of the discriminator, with the energy being the reconstruction error. Theoretical analysis shows our EB-GAIL could match the occupancy measure with expert policy during the training process. Meanwhile, the experiments depict that EB-GAIL outperforms other SoTA methods while the training process for EB-GAIL can be more stable.
Pengaruh Desain Sistem Pembelajaran Dan Teknik Komunikasi Guru Terhadap Hasil Belajar Bahasa Indonesia Siswa Kelas VIII Di MTs Al Mahrusiyah Lirboyo Kota Kediri

In the world of education, of course the learning process also takes place, and the learning process requires the right method. Mistakes using the method, can hinder the achievement of desired educational goals. In fact, education shows that students play a more important role as objects and teachers act as subjects. The information center or learning center is the teacher, so it often happens students will learn if the teacher teaches. In this study using contextual learning compared with conventional learning. In addition to learning methods communication techniques are also needed to support the success of students. In this study using quasi quantitative research methods, with ANCOVA analysis techniques. Overall contextual learning is superior compared to conventional learning and teacher communication techniques affect learning outcomes with sig values. 0,000 ≤ 0.05.
Communicating Our Components

So far, we’ve mostly been focused on strategies to make developing our applications more straightforward. Success in software development hinges on much more than merely writing good code, however. Projects can be a win or a loss, depending on how well people communicate. Thankfully, Storybook helps us here too.
Motivational resources for project teams’ success

The article explores motivational resources behind the success of project teams. To determine the motivational resources, we develop a comprehensive model of project activity based on the approach proposed by Harvard Business School, according to which we study a subjective assessment of a project’s implementation and its resource potential, the possibilities for realizing motives, satisfaction with intra-group relationships, and job satisfaction. The data were processed with content analysis, comparative and correlation analysis. The study involved 8 project teams, 120 participants aged between 24 and 30. Motivational indicators of the project teams’ success correspond to the high levels of resource assessment and project implementation, assessment of the capability to realize motives in the project, satisfaction indicators (intra-group relationships and job). We revealed an interrelation between the estimate of the capability of motives realization in the project and the estimate of resource potential and project implementation, and the capabilities of employee motives realization in the project. The research results provide a comprehensive overview of the project implementation process, while focusing on the construction of both the motivational system and the communication system within the project.
Frequency Decomposition in Neural Processes

Neural Processes are a powerful tool for learning representations of function spaces purely from examples, in a way that allows them to perform predictions at test time conditioned on so-called context observations. The learned representations are finite-dimensional, while function spaces are infinite-dimensional, and so far it has been unclear how these representations are learned and what kinds of functions can be represented. We show that deterministic Neural Processes implicitly perform a decomposition of the training signals into different frequency components, similar to a Fourier transform. In this context, we derive a theoretical upper bound on the maximum frequency Neural Processes can reproduce, depending on their representation size. This bound is confirmed empirically. Finally, we show that Neural Processes can be trained to only represent a subset of possible frequencies and suppress others, which makes them programmable band-pass or band-stop filters.
First work on collaboration between high schools and university by holding workshops

In May 2018, we held the 1st International Workshop. In this research, we reported the case of collaboration between high schools and universities on holding workshops together, and the effects of learning through participation from high school age through to university students, and lecturers.
Lessons from Contact Tracing in Mid-Missouri.

The public health community has used contact tracing to address pandemics since the eighteenth century. With the emergence of COVID-19, these classical skills are the primary defense for communities to limit morbidity and mortality during the pandemic. Here we describe the methods, strengths, and challenges of contact tracing.
LibGuides: John B. Coleman Library Resources : Home

PVAMU users, please use this page to access library resources during the PVAMU network outage period. Ask the librarian if you have any questions.
전통시장 활성화 지원정책의 성과 분석: 청주지역을 중심으로

Purpose: The purpose of this study is to analyze properly the performance of the government''s support policy for traditional market, especially of market specialization and of facility modernization support project. This study was focused on empirically analyzing how much performance has been achieved in terms of actual sales growth and customer increase. In the case of poor performance, to identify the causes and to suggest the improvement measures are also included in the aim of this paper.Research design, data, and methodology: A questionnaire survey and interview survey were conducted with the relevant traditional markets in Cheongju, which received the government''s budget to revitalize during the period from 2015 to 2018. Problems of support policy (if there are) and improvement measures suggested were mainly identified through face to face interviews. The final 140 valid responses were used for the analysis. The average analysis was used as a performance analysis method, and the difference analysis (t-test) was also executed to compare the performance between the market supported and the unsupported.Results: The result of analysis tells that the performance is partial and far below the target. The government''s facility modernization support project was considered to have contributed to sales growth and customer growth with statistical reliability, compared to the unsupported market. However, the evaluation of the contribution of market specialization project was relatively low. The performance was not good except for one market which has received the multiple support projects for many years.Conclusions: The empirical analysis has revealed that the government''s traditional market support policies are insufficient and ineffective in achieving the goals. This paper also has pointed out that policy improvement measures to solve the problems of poor performance are needed. In this paper some measures such as more clearer goal setting of the support policies were summarized and presented.
2015 교육과정에 따른 고등학교 국어 교과서 설득하는 글 쓰기 단원의 학습활동 분석

Helping students write in practical contexts through textbooks can have a big impact on improving students' writing skills and motivation. The purpose of this study was to analyze whether the textbook's writing activity was realized in a practical context and to suggest a direction for constructing a more effective activity. This study analyzed the learning activities of persuasive writing units in 12 high school Korean textbooks based on ‘The 2015 Revised Korean Language Curriculum’. The results obtained in this study are as follows. First, it was found that most of the Korean language textbooks instruct persuasive writing in connection with reading, thus reinforcing links between writing and reading. In particular, it can be seen that there is a possibility that the persuasive writing activity could be reinforced in various aspects due to the various types of reading materials presented in this connection. Second, writing in a practical context is important in order to increase students' motivation to write, but among the elements of the writing context, analysis and actualization of the audience and Media Utilization are somewhat insufficient. Third, half of all Korean textbooks did not present the writing assessment stage, and the only types of assessment were self-assessment and peer assessment. Eventually, the Korean language teacher must present supplementary materials for the areas that the textbook does not support. This can lead to unnecessary deviations in Korean language instruction. Therefore, based on the analysis results obtained in this study, it is suggested that future Korean textbooks to be developed later should reflect the actual teaching situation and should include a specific evaluation process in the persuasive writing unit learning activities.
Correction to: Fukunaga–Koontz Convolutional Network with Applications on Character Classification

In the original publication, the “Acknowledgements” section was published incorrectly. The correct version is should read as below.
Perkembangan Kemampuan Berbicara Anak Usia 5-6 Tahun

This study aims to determine the speaking ability of children aged 5-6 years at the YLPI Marpoyan Islamic Kindergarten. This study uses a descriptive qualitative approach. The subjects in this study were 19 children in group B3 TK YLPI Marpoyan Pekanbaru, Riau. Data analysis was carried out in three stages: data reduction, data display, and conclusion. The results of data analysis, namely aspects of pronunciation, aspects of vocabulary development, aspects of sentence formation, aspects of speech content, and aspects of courage, aspects of fluency, and aspects of expression or gestures develop very well because all children can show the development of children's language skills. The results of this study indicate that the development of speaking skills of children aged 5-6 years in TK YLPI Marpoyan Pekanbaru is developing very well
Trace elements in pyrrhotite, pentlandte, chalcopyrite and pyrite from magmatic sulfide deposits: an overview

Over the past two decades the distribution of trace elements in base-metal sulfides (BMS) from magmatic sulfide deposits (i.e. Ni-Cu-PGE and PGE-dominated deposits) has been extensively investigated, and much information is now available. We have compiled the trace-element concentrations in BMS, obtained by LA-ICP-MS, from various magmatic sulfide deposits to understand whether they may record the ore forming processes. Among the samples, there are some of the most studied Ni-Cu-PGE (e.g. Aguablanca, Duluth, Jinchuan, Noril’sk-Talnakh, Sudbury, Voisey’s Bay and others), and PGE-dominated (e.g. Bushveld, Lac des Iles, Stillwater, Great Dyke and Penikat) deposits of the world. The results reveal that it is possible to separate BMS from Ni-Cu-PGE and PGE-dominated deposits based on the concentrations of highly chalcophile elements. For instance, pentlandite from Ni-Cu-PGE deposits has much lower Rh and Pd concentrations than those from PGE-dominated deposits. This is because of the higher R-factors in PGE-dominated deposits relative to Ni-Cu deposits, and consequently greater concentrations of these elements in the sulfide liquid. The BMS also record the fractional crystallization of the sulfide liquid. The concentrations of elements compatible with MSS and ISS are lower in BMS from more fractionated ores, whereas concentrations of incompatible elements increase in BMS from progressively more fractionated ores. Also, since both Se and Te behave as incompatible elements during crystallization of the sulfide liquid, but Te is more incompatible than Se, the Se/Te ratio in BMS decreases with progressive fractionation, and can also be used to track the differentiation of the sulfide liquid. Crustal assimilation by the parental silicate liquids can also be constrained using the concentration of slightly chalcophile elements in BMS. This is because high R-factors do not obscure the effect of crustal contamination for elements with low partition coefficients between sulfide and silicate liquids. We propose that a plot of As/Se vs Sb/Se in pentlandite may be appropriate for assessing crustal contamination. The pentlandite from ores that formed from more contaminated silicate liquids have higher As/Se and Sb/Se ratios. Finally, the composition of pyrite may be used to investigate the late- or post-magmatic alteration of BMS. Magmatic pyrite have higher Co/Se and Sb/As ratios relative to pyrite formed in other settings, which could be useful for the use of pyrite as an indicator mineral.
Indoor scene verification: evaluation of indoor scene representations for the purpose of location verification

When human’s visual system is looking at two pictures taken in some indoor location, it is fairly easy to tell whether they were taken in exactly the same place, even when the location has never been visited in reality. It is possible due to being able to pay attention to the multiple factors such as spatial properties (windows shape, room shape), common patterns (floor, walls) or presence of specific objects (furniture, lighting). Changes in camera pose, illumination, furniture location or digital alteration of the image (e.g. watermarks) has little influence on this ability. Traditional approaches to measuring the perceptual similarity of images struggled to reproduce this skill. This thesis defines the Indoor scene verification (ISV) problem as distinguishing whether two indoor scene images were taken in the same indoor space or not. It explores the capabilities of state-of-the-art perceptual similarity metrics by introducing two new datasets designed specifically for this problem. Perceptual hashing, ORB, FaceNet and NetVLAD are evaluated as the baseline candidates. The results show that NetVLAD provides the best results on both datasets and therefore is chosen as the baseline for the experiments aiming to improve it. Three of them are carried out testing the impact of using the different training dataset, changing deep neural network architecture and introducing new loss function. Quantitative analysis of AUC score shows that switching from VGG16 to MobileNetV2 allows for improvement over the baseline.
Analytický povrchový zber na lokalite Vráble-Fidvár: stav bádania a možnosti spracovania dát

Systematic Field Survey at the Site of Vráble-Fidvár: State of Research and Possibilities of Data Evaluation.the early bronze age fortified settlement near Vráble-Fidvár is one of the most important archaeological sites in Europe.This paper is trying to review the fieldwalking campaign of 2007 at the site, from the perspective of methodology and state of research.its purpose is to introduce an unconventional method of data evalution known as (spatial) sampling.the article deals with a concept of two-stage sampling which in combination with spatial interpolation aims to demonstrate an effective way of processing large archaeological datasets.Sampling design is divided into two phases.First, disproportional stratified sampling shows preliminary spatial patterns which will be completed by second phase of adpative cluster sampling.Basic information about the design, its aims and sample size are provided within.
Innovative Practice of College Students' Career Planning Education

With the continuous development and progress of the economy and society, the education industry is constantly carrying out self-innovation and creation, in order to effectively cultivate new talents for adaptability in the new era and to deliver high-level talents for the development of all walks of life. University education belongs to the high-level education stage of social talent training, and it plays a guiding role in the long-term development direction of students. Therefore, it is important to promote the popularization of students' future development opportunities at this stage. Initiative. However, as far as the current development of colleges and universities is concerned, the professional education planning arrangement for students is lacking in professional teaching, and the actual progress is lagging behind. As a result, students' professional career planning awareness is still in the middle school stage, and there is no improvement in the level of knowledge. Carry out scientific and efficient improvement. College students have a deep understanding of the lack of social knowledge, and there is no opportunity or practical possibility to actually contact the social environment, so that they can only absorb the professional knowledge blindly, and can not effectively apply it to their practical life applications, which also leads to their actual future. There may be important reasons behind the employment that affect the essence of its work. earning, and also provides important teaching enlightenment for college English teaching.