Reviewerly/exHarmony huggingface dataset:
An Optimization Model for Human-Object Interaction Detection Inspired by Multi-features

The rapid development of deep learning in recent years has led to breakthroughs in more and more problems, such as image recognition and object detection. Human-object interaction(HOI) detection is an important issue in image comprehension, which has higher actual value than image classification and object detection. but still not well solved. Different from HOI recognition, HOI detection is not only to determine the presence of HOIs, but also to estimate their locations, so this problem is defined as predicting a human and an object bounding box with an interaction class label that connects them. In this paper, we propose an approach that uses multi-features to solve HOI detection task. We use different methods to extract visual features and spatial features from images, and use their fusion to provide more effective support for HOI detection . The core of our approach is the Visual Feature Extracted Model which base on convolutional neural network with attention module and can provide more detailed visual features. We validate our approach on the recently introduced Verbs in COCO (V-COCO), and verification results indicate that our approach achieves extraordinary improvements in HOI detection.
Education Infrastructure and Enrolment in Elementary Education in Odisha

Background: Infrastructure is an important tool for facilitating quality education in elementary education system. According to the Right to Education Act (RTE) 2009, every school should have an all indicator: classroom, teacher, toilets for boys and girls, safe and adequate drinking water, and playground, kitchen for the mid-day-meal, boundary wall, electricity and computer. Objectives: The objective of the present study is to construct a physical infrastructure index at school level across 30 districts of Odisha and the role it plays in improving the enrolment. Methodology: The study uses secondary data collected for the years 2001 to 2017 for 30 districts of Odisha. Principal Component Analysis is done to construct a composite infrastructural index at school level considering 13 infrastructural variables. On the basis of variations the districts are grouped into four categories and the changes over time is observed. Using panel data regression model the impact of the education infrastructure on enrolment at school level is studied. Findings: It is found that the infrastructure contributes significantly to the enrolment at elementary education level. The enrolment is increasing over time. The availabilities of basic amenities is encouraging children especially girls to come to the schools. It is also observed that the districts like Balasore, Boudh, Keonjhar and Kalahandi are improving in terms of their infrastructure over time. Policy Implications: As there is a dearth of studies on the role education infrastructure plays in increasing the enrolment at school level across 30 districts of Odisha. It is suggested that the schools should be well equipped with infrastructure so that it can cater to the need of the present generation. Government should take care of this aspect specially emphasizing the case of the districts still undeveloped in terms of educational infrastructure.
SISTEM INFORMASI GEOGRAFIS PEMETAAN LAHAN PERTANIAN BAWANG MERAH DENGAN METODE K-MEANS CLUSTERING BERBASIS WEBSITE (Studi Kasus di Kabupaten Nganjuk)

Geographic Information system (GIS) is a type of system that can be used for mapping the garlic farm land.The system consists of hardware, software, geographic location and human resources that can effectivelyprocess and display geographic information data. Agricultural land is an economic resource that isrelatively permanent availability, but its needs continue to increase due to development needs. The purposeof this research is tobuild SIG -based GIS Website and M-energy method of K-means Clustering for themapping of garlic farmland . The method used In this research is qualitative and uses K-means Clusteringfor GIS. This method is used for grouping data that has similarity variables. This method generates severaliterations that have clustervalues. Of These iterations used the least cluster value to determine theagricultural Land Mapping group. The result of this research is a geographic information system that canmap the garlic farm land. GIS testing was conducted on land in 20 sub-districts in Nganjuk district withconsideration of 3 variables and the test count 4 times. From The test results, the average number ofconformity calculation is obtained by 93,51% between manual counting result and counting result usingSIG.Keywords: K-means, Clustering, shallots, land mapping.
Publicações em Periódicos de Acesso Aberto no Brasil: Uma Análise Temporal

The large volume of scientific production data available in different formats and in different repositories makes it difficult to carry out studies and queries by users who need a unified view of these data. Bibliometric studies, especially in large bibliographic repositories, are not trivial tasks considering the amount of data to be analyzed and the characteristics of the repositories, which, for the most part, do not have a defined standard. Currently, most of these studies have used as main sources of data the results of consultations with international repositories that present data on scientific works, generally published in indexed journals. In this way, understanding how the publications of a certain set of researchers are being carried out in open access journals allows us to identify a panorama of the current stage of this type of communication, and also to verify if in certain areas of knowledge this type of publication tends to to be more frequent. Therefore, the objective of this work is to analyze the publications in journals of Brazilian researchers in order to verify the adoption of open access journals for the dissemination of their research results.
A Scientometric Analysis on Mobile Recommender Systems

With further advancements in technology, a new emerging topic called 'mobile recommender systems' has gained tremendous momentum. The amount of research on mobile recommender systems can reflect the development of a variety of research topics such as mobile computing and context-aware systems. Hence, performing a scientometric mapping on this topic is needed. However, there is a lack of research in this area that aims to perform a detailed scientometric mapping. The objective of this study is to perform a scientometric mapping related to mobile recommender systems. We analysed publications between 2002 and 2017 indexed in Web of Science. The analysis maps the parameters of total output, the growth of output, authorship, major contributors, thematic trends and emerging topics in the field. Our study serves as a resource for future research by shedding light on how trends in mobile recommender systems research have evolved as well as providing insights into the current state of this field.
Psychological Characteristics and Mental Health Education Strategies for Post-00s College Students

The post-00s college students have become the majority of freshmen in colleges and universities.They have their own prominent psychological characteristics in thinking and value pursuit.Being more confident and optimistic, they have much stronger self-consciousness while lack of social communication skills.However, they are also faced with fiercer social competition in present time featured with fast-growing economy and upgrading network information, which express higher requirements of their psychological quality.In accordance with the psychological characteristics of post-00s college students, overall planning in the whole society should be made to realize effective connection of mental health education in all stages.As the principle role in cultivating and transporting high-quality talents for the development of the country, colleges and universities should focus on making concerted efforts to open up multiple educational channels and upgrade mental health education for post-00s students.
Room Rental Price Determination Method Using Activity Based Costing System In Lumajang Hotel Gajah Mada

The purpose of this research is to Determine the price of renting a hotel room using the Activity Based Costing System. The method used in this research is descriptive method with a quantitative approach Because The Data presented is related to numbers. Calculation of room cost by using Activity Based Costing System for President Suite rooms is Rp. 571.655 for the axle suite room of Rp. 331.697 for the executive suite of Rp. And for Deluxe rooms 317.046 USD. 205.394 for Superior rooms of Rp. 135.433 for a Standard room of Rp. 84.948. The result of calculating the cost of the room does not compare with the cost of goods used by the management of Lumajang Hotel Gajah Mada Because The management of the Lumajang Hotel Gajah Mada does not make the cost of the room per day. For the Activity Based Costing System, the Presidential Suite, Deluxe, Superior, and Standard room types show a difference between the price of the room rent set by the Lumajang Gajah Mada Hotel. The application of Activity Based Costing System is a lot of overhead on each product. cost drivers that are suitable for consumption of activities by the product or service. So that the implementation of Activity Based Costig System can allocate various cost activities to each type of room appropriately based on the consumption of each activity there are costs separated.
Is Economic Growth and Development Realizable for Africa? – Review of Asian Countries: A Theoretical Perspective

There has been large a reservoir of papers spawned about African countries and the degrading but the real state of their economies. The African continent has seen under-industrialization, scaring rates of poverty, low levels of education, low levels of skilled labour force and high rates of diseases. After the overwhelmingly uproar for independence averagely 50 years ago, most countries in the continent still make ends meet under the mercy hands of the West and China. Africa has the highest poverty rate of 422,358,131 people living as of December 2018 (World Poverty Clock). The economic growth of Asia offers massive encouragement that economic growth is not a fantasy. Most countries in Asia have risen to overcome their gloomy economic situations. Countries such as Japan and South Korea have overturned war torn and hopeless economic situations into globally competitive countries. Singapore, a country without a single natural resource and with a diversity of people, has been able to achieve economic growth. China has managed to pull over 800 million people out of the grips of poverty in the past four decades, a feat which many pundits consider as a massive economic miracle. The main aim of this paper is to review the economic growth and developmental strategies of some Asian countries including Japan, South Korea, Singapore and China and in that regard make policy recommendations for sub-Saharan Africa. The regional choice is because Asia is indisputably the fastest growing economic region in the world contemporarily, both in terms of GDP and Purchasing Power Parity (PPP). In addition, the choice for the selected countries is because the countries under consideration were in a way or the other once in an economic crisis just as many countries in sub-Saharan Africa.
영어 학습에서의 어휘 주석의 효과: 메타분석을 통한 연구 종합

This study investigated the overall effects of using vocabulary gloss on Korean EFL students' L2 competence. In order to do so, a quantitative meta-analysis of 42 research findings in 15 studies was carried out to synthesize the effects of gloss by calculating mean effect sizes. Based on the result of homogeneity test (Q=241.423, df=41, p=.000), random effect model was adopted as the meta-analysis model. And then, the mean effect size was computed by using the individual effect size of the previous studies. The results revealed that using vocabulary gloss in English language teaching had the beneficial effects in general (d=.680). A statistically significant difference was also founded between the effect sizes of vocabulary (d=.940) and reading comprehension ability (d=.219) (Q=20.806, df=1, p=.000). Finally, pedagogical implications and suggestions for further studies were proposed.
RESEARCH ON FIRST-YEAR STUDENTS’ STEREOTYPES ABOUT LAWYER’S IMAGE: THE GENDER APPROACH

Purpose: to study the stereotypical image of a lawyer formed by first year law students as a prerequisite for professional development of personality and factors influencing this process. Methods: questionnaire (a specially designed questionnaire was used as a tool, which included questions selected by the authors of the methodology based on the analysis of studies in the field of legal psychology, and which determine the key characteristics (personal qualities) of the lawyer); factor and variance analysis. Results: it is shown that as a form of individual consciousness of high school graduates’ stereotypes fulfill a social-regulating function, act as an important component of the system of factors influencing the formation of goals for determining the direction of further vocational education and motivation for admission to the relevant institution of higher education. Average rank values, variance, and standard deviations of the mean distribution were calculated for each matrix. The hypothesis of the study was confirmed, which is that the system of characteristics of a specialist in the field of justice, which is formed from students of the first year of law school, depends on the gender of the student. It is substantiated that the primary images-stereotypes of the lawyer formed by the first-year students have clearly expressed gender characteristics that should be taken into account in the further purposeful formation of the image of the lawyer-professional. It was found out that it is worthwhile to avoid negative gender stereotypes, evaluative judgements in the process of evaluating students, focus one’s attention at complementary roles of men and women in life and social situations, equal opportunities for personality and professional development and promotion. It was concluded that educational process in a modern legal educational body should take place considering gender peculiarities of the youth; it can ensure innovative nature and personality orientation as a condition for teaching a well-qualified specialist and a development of a creative and harmonious personality. Discussion: the results of the analysis of the influence of the factors identified in the study on the formation of first-year law students stereotypes of the lawyer is an important condition for specifying pedagogical measures to develop the professional orientation of future lawyers.
Surf Disc: a cruising interface in 3D virtual space

Currently, Virtual Reality (VR) content production is actively performed. While, VR sickness has become a problem. As a means to reduce VR sickness, bodily sensation-type game contents [1] are attracting attention. However, interfaces proposed in the previous work were not sufficient enough for operability. In this paper, we propose “Surf Disc” as an interface for moving around the virtual space freely and smoothly. For university students, evaluation experiments were conducted focusing on VR sickness, body fatigue, and operability by Surf Disc. We conducted experiments to evaluate the operability of “Surf Disc” from the three viewpoints of VR sickness, physical fatigue, and easy-to-use. We verify “Surf Disc” is sufficient and intuitive to move around the virtual space.
94 Can Emojis Assess Patients’ Mood and Emotion in the Emergency Department? An Emoji-Based Study

As health care progress and aligns with our technologically advanced society, the need to modernize health care and patient relations arises. The use of emoji has rapidly increased worldwide as standard communications adding context and clarity to words. Our objective was to prospectively assess patients’ mood and emotion in the emergency department (ED) throughout their visit. A cohort of 348 ED patients above the age of 18, with an emergency severity index (ESI) between 3-5 was prospectively enrolled. A screen with ten ordered emoji faces ranging from 1 (extremely satisfied, smiling face) to 10 (extremely dissatisfied, angry, red face) was given to each patient upon arrival to the ED. Patients were asked to identify their mood by selecting one mood-determining emoji every 30 minutes after arrival. The change in emojis and the impact of age, sex, education, marital status, ethnicity, race, ESI, length of stay (LOS) and chief complaint were examined to asses the effect they may have had on the patient's first selected emoji, their last, and the change between the two. To analyze our data, various statistical analyses such as time series, Spearman correlation, multiple linear regression, categorical, and nonparametric statistics were used. Only data from patients for whom at least two emoji selection events were recorded in the ED were used. Patient demographics were as follows: age ranging from 18-81 with a mean of 37.6 (+ 15.4 SD), 57.9% female and 58.1% white. Chief complaints of musculoskeleal injury and wound complication(bite, laceration) made up 52% of the surveyed patients. On the emoji scale, mean emoji at admission and discharge were 5.8+2.7 and 5.30+2.8 respectively (p=0.0004; Wilcoxon signed rank test); showing significant improvement in patient mood. Emoji at admission was positively correlated to the discharge emoji(r=0.49, p<0.0000; Spearman Correlation). At admission 26 (7.4%) and 30 (8.6%) patients selected emoji 1 and 10 respectively, while 36 (10.3%) and 32 (9.2%) selected these emoji at discharge. Overall, out of 348 patients, 112 (32.2%) remained at the same level of mood, 104 (29.9%) improved mood, and 88 (25.3%) had worsening mood. The change in emoji was not related to wait time or LOS on emoji selection (p=0.11) or patient age effect (p=0.64). It was however positively related to emoji selection at admission (slope=0.53, p<0.000), meaning one unit increase in the initial emoji, improved the mean emoji by 0.53 points. Mean emoji at admission for male was significantly lower than female (6.2+2.6 v. 5.4+2.6; p=0.006) and slightly higher mood change (slope=0.52, p=0.065). Emoji can be a useful tool in tracking a patient’s mood during the ED visit. We did not observe any effect from wait time or length of stay in the ED on the patients’ emoji selection. These emoji surveys are simple to administer and could impact the overall management and care within the ED.
Hierarchical detection method of specific artificial region using local structural constraint in remote sensing images

Automatic detection of specific artificial region is one of the research hotspots in remote sensing image. In this study, a hierarchical detection method of specific artificial region using local structure constraint in remote sensing images is proposed. The process can be divided into two main stages: screening of keypoints based on the description of structural pattern, and specific artificial regions detection based on the local structural similarity. This method can greatly reduce the calculation of feature description in the redundant non-specific regions, and effectively reduce the error matching points to achieve the rapid and reliable detection of the specific artificial region. The authors test the proposed method on the artificial region sets with different types and time phase. The experimental results show that the method has high computational efficiency and detection accuracy.
Extending multimedia languages to support multimodal-multiuser interactions

Hardware and software technologies have given rise to a new class of human-computer interfaces that both explores multiple modalities and allows for multiple collaborating users. When compared to the development of traditional single-user WIMP (windows, icons, menus, pointer)-based applications, however, applications supporting the seamless integration of multimodal-multiuser interactions bring new specification and runtime requirements. In this thesis, with the aim of assisting the specification of multimedia applications that integrate multimodal-multiuser interactions, we: (1) propose the MMAM (Multimodal-Multiuser Authoring Model); (2) present three different instantiations of it (in NCL, HTML, and a block-based syntax); and (3) evaluate the proposed model through a user study. MMAM enables programmers to design and ponder different solutions for applications with multimodal-multiuser requirements. Its instantiations served as proofs of concept about the feasibility of our model and enabled us to perform the user study. The user study focused on capturing evidence of both the user understanding and the user acceptance of the proposed model. 94.47% of the participants gave positive answers to the block-based representation TAM questions, whereas 75.17% of them gave positive answers to the instantiations-related questions.
LibGuides: Creating Inclusive Environments While Increasing Our Capacity for Diversity: Home

Facilitator: Dr. Sherry Early, Assistant Professor, COEPDThe Center for Teaching and Learning invites you to participate in a new faculty learning community for the 2018-2019 academic year. Faculty Learning Communities (FLCs) are one opportunity for f
Ценностное развитие как показатель личностной готовности к самореализации в процессе научно-исследовательской деятельности у начинающих ученых

Introduction. The article for the first time presents the results of the study concerned with the starting scientists’ value development in relation to their dominant experiences during their research activity. An increasing interest of young people in science motivates studying value-semantic and activity aspects of the starting researchers’ milieu to determine conditions for developing their research competence, resources  for coping with arising objective and subjective difficulties that can reduce their motivation for research and lead to the formation of negative mental states and renunciation of scientific activity. The aim of the study is to identify specific features of post-graduate students’ value development in relation to their emotions and meanings of dominant experiences while they do their resear ch.Materials and Methods. M. Rokeach’s Value Survey (extended interpretation by M. S. Yanitskiy, A. V. Seryi); the semantic differential technique (Ch. Osgood); classification of emotions by E. P. Ilyin; and content analysis were used in this study. The data underwent statistical processing, including frequency analysis and the Kruskal – Wallis H and Jonckheere-Terpstra nonparametric tests.Results. Three groups of post-graduate students with different varieties of value development were identified. Dominant terminal and instrumental values among doctoral students with different variants of value development were specified. Semantic categories of post-graduate students’ dominant experiences during their research are highlighted.Discussion and Conclusion. The study results can be used in the educational process during professional and personal development of modern youth. They make it possible to identify high-educated young people with the research potential at the stage of post-graduate programs, dissertation writing and implementation of their scientific products. These issues may be further developed from the cross-cultural perspective.