Reviewerly/exHarmony huggingface dataset:
No-reference Quality Assessment with Unsupervised Domain Adaptation

Quality assessment driven by machine learning generally relies on the strong assumption that the training and testing data share very close scene statistics, lacking the adaptation capacity to the content in other domains. In this paper, we quest the capability of transferring the quality of natural scene to the images that are not acquired by optical cameras (e.g., screen content images, SCIs), rooted in the widely accepted view that the human visual system has adapted and evolved through the perception of natural environment. Here we develop the first unsupervised domain adaptation based no reference quality assessment method, under the reasonable assumption that there are abundant subjective ratings of natural images (NIs). In general, it is a non-trivial task to directly transfer the quality prediction model from NIs to a new type of content (i.e., SCIs) that holds dramatically different statistical characteristics. Inspired by the transferability of pair-wise relationship, the proposed quality measure operates based on the philosophy of learning to rank. To reduce the domain gap, we introduce two complementary losses which explicitly regularize the feature space of ranking in a progressive manner. For feature discrepancy minimization, the maximum mean discrepancy (MMD) is imposed on the extracted ranking features of NIs and SCIs. For feature discriminatory capability enhancement, we propose a center based loss to rectify the classifier and improve its prediction capability not only for source domain (NI) but also the target domain (SCI). Experiments show that our method can achieve higher performance on different source-target settings based on a light-weight convolution neural network. The proposed method also sheds light on learning quality assessment measures for unseen application-specific content without the cumbersome and costing subjective evaluations.
Analysis of Acceptance of Toddler Nutrition Monitoring Information System using Technology Acceptance Model (TAM)

This research is a quantitative research that has a goal to measure the level of user acceptance of the Mozita Application.Mozita application is an application used by midwives (cadres) to carry out the process of recording and reporting the nutritional status of toddler in the local health center area.In addition to information on the nutritional status of toddler, the calculation using the Z-Score formula, the Mozita application can present information used by related agencies for the purpose of monitoring and decision making in terms of health policy based on data on nutritional status of toddler.To be able to increase the use of the Mozita application, it is necessary to provide feedback from the user.TAM (Technology Acceptance Model) is a model chosen to analyze and understand the factors that influence the acceptance of the use of the Mozita Application, user feedback is done by utilizing the USE Questionnaire.This study used 96 respondents who were randomly selected from cadres, midwives, employees at the village level, district level, city level, and people who worked in the health department in the city area of Semarang.The technique used to measure the level of acceptance is done by providing an explanation and guidelines for using the Mozita application before the respondent fills in the questionnaire using a Likert scale.The questionnaire used is equipped with in-depth interviews for question items whose Likert scale value is less than equal to 3. The indepth interview aims to provide a focus on improving the Mozita application interface to be able to suit the needs of users.Based on testing and data analysis results, it was concluded that the 5 hypotheses H1, H2, H3, H4, and H5 adopted from the TAM model had a positive effect on the strength of the relationship (correlation) between strong variables, except the relationship between the Perceived Usefulness variable against Attitude Toward Using (H2).
Loma Linda University Libraries: Information for Clinicians: Point of Care Tools

Helpful information for clinicians using library resources. Provides information on library services, mobile access, point of care tools, and other available resources. We support most of the point of care tools on the Clinical Desktop in One Portal.
Relationship between banking sector development and inclusive growth

According to an inclusive growth framework, the top objectives of the economic policy shift from increasing incomes themselves to well-being. While banking sector development has conventionally been considered a growth factor, there is no clear understanding of its impact on inclusive growth. This article explores how the banking sector’s qualitative development, measured in dimensions of the services availability, lending supply, stability, and reliability of banking activity, relates to inclusive growth. To define the relations between banking system development and inclusive growth, the panel regression was employed for a sample of 46 economies selected based on the prescribed principles of sources reputability, methodology consistency, limits in data blanks, and differentiated into groups according to the World Bank’s classification. The regressions’ assessment and involved tests show evidence of the quality of constructed models and present the following results. The banking availability, approximated with the number of automated teller machines, fosters inclusive growth regarding all groups of countries. In contrast, the increase in the number of commercial banking branches has inverse relations between high-income and upper-middle-income countries, and direct for lower-middle-income countries. The bank credit expansion negatively influences the inclusive growth for high income and lower-middle-income countries. The banking sector stability approximated with bank capital to assets ratio matters in terms of inclusive growth for high-income countries only, while this indicator for upper middle and lower middle economies is statistically insignificant.
LibGuides: Diversity, Equity, and Inclusion: Feedback

Diversity and Inclusion resources available via University of South Florida Libraries and beyond
The Vatican Library and the IFLA between 1928 and 1929

On August 30, 2019, the Vatican Library hosted a satellite IFLA conference on topics related to education for professionals, exactly 90 years after the first international conference was held in Rome, when the IFLA was officially named and its first statute was established. This paper was presented at the satellite conference to briefly summarize the major events of those memorable years and the Library’s history as the background of this extraordinary season for world librarianship. In that period, the Vaticana was experiencing a moment of both institutional and professional prosperity, deeply connected with the events that led to the foundation of the IFLA; these were the same years in which Italy and the city of Rome, in the middle of the Fascist Regime, were hosting, in 1928 and 1929, respectively, the preparatory works and the First World Congress of Libraries and Bibliography, the major event that marks the foundation of the IFLA.
Using Role Play in Teaching Speaking at The Third Year Students of SMP Islam Ruhama Cireundeu

This research is aimed to know whether Role Play Technique is effective in improving student’s speaking skill at 9th grade students of SMP Islam Ruhama Cireundeu. This research is based on the last observation result that the students were still difficult to speak. This research is categorized as Experimental Study. It is carried out to solve students’ problem in speaking. The findings of the research stated that students’ comprehension (66) is the lowest score and students’ grammar (66.5) is the highest score in post test score of experiment class while students’comprehension (72.5) is the lowest score and students’ vocabulary (74) is the highest score in post test of experiment class. The subject of this research is the students of class IX.1 and IX.2 of SMP Islam Ruhama Cireundeu. In collecting the data, this research uses observation and test. Based on the result and the discussion of this research, it can be said that the using of role play in teaching speaking is successful since the crieteria of success were achieved. The criteria of success is there is a significant improvement from pretest result to posttest. The result shows that the pretest average score in experiment class is 66.2 becomes 73.1 in post test while in control class, the significant improvement is only 1.2 (pre test 65.9 and post test 67.1). Based on the result that is mentioned before, the writer suggests that the English teacher should implement a role play in order to improve students’ speaking skill.
Extending the Research Data Toolkit: Data Curation Primers

Niche and proprietary data formats used in cutting-edge research and technology have specific curation considerations and challenges. The increased demand for subject liaisons, library archivists, and digital curators to curate this variety of data types created locally at an institution or organization poses difficulties. Subject liaisons possess discipline knowledge and expertise for a given domain or discipline and digital curation experts know how to properly steward data assets generally. Yet, a gap often exists between the expertise available within the organization and local curation needs.&#x0D; While many institutions and organizations have expertise in certain domains and areas, oftentimes the heterogeneous data types received for deposit extend beyond this expertise. Additionally, evolving research methods and new, cutting-edge technology used in research often result in unfamiliar and niche data formats received for deposit. Knowing how to ‘get-started’ in curating these file types and formats can be a particular challenge. To address this need, the data curation community have been developing a new set of tools - data curation primers. These primers are evolving documents that detail a specific subject, disciplinary area or curation task, and that can be used as a reference or jump-start to curating research data. This paper will provide background on the data curation primers and their content detail the process of their development, highlight the data curation primers published to date, emphasize how curators can incorporate these resources into workflows, and show curators how they can get involved and share their own expertise.
THE EFFECT OF INTERACTIVE READING STRATEGY TO THE STUDENTS’ ACHIEVEMENT IN COMPREHENDING NARRATIVE TEXT

This study was carried out to find out the effect teaching by using interactive reading strategy to the students’ achievement in comprehending narrative text. The population of this research was the 6 th grade of Elementary school SD Negeri 158309 Pandan 3, Kelurahan Pandan, Kecamatan Pandan, Kabupaten Tapanuli Tengah. There are 3 classes, VI-1, VI-2 and VI-3. Each classes consist of 28, 36 and 56 students In determining the experimental and control class, the researcher uses random sampling with thirty students in each classes. The instrument of this research was a multiple choice test, consist of 20 items, each true answer was given score 5 and the wrong answer was given 0. The data was analyzed by using analysis of linear regression and t-test formula. Based on the analyzing data, it was found that there was a significant effect of interactive reading strategy to the students’ achievement in comprehending narrative text, which was proven by the result of the t observed compared to t table , it was t observed > t table (1.90 > 1.67) and the total percentage of the effect was 52% and 48% was influenced by other factors.
Measurement and evaluation: The development level of three rural industrial integrations–take Sichuan Province as an example

In this study, an evaluation index system for the development of three rural industrial integrations has been built; the entropy weight method was used to measure the development level of the three rural industries in Sichuan Province. The result indicates that from 2009 to 2018, the comprehensive score of the three industrial integration development levels in rural areas of Sichuan Province has increased year by year. In addition, there are large differences in the specific scores of each dimension, among which urban-rural integration is developing rapidly, and the agricultural multi-functional expansion dimension is slightly insufficient. In conclusion, to promote the development of the integration of the three industries in rural Sichuan, we should vigorously develop ecological farming agriculture, remove funding restrictions, and strengthen related supporting construction.
The problems with using STNs to align CNN feature maps.

Spatial transformer networks (STNs) were designed to enable CNNs to learn invariance to image transformations. STNs were originally proposed to transform CNN feature maps as well as input images. T ...
Residual Connected Enhanced Sequential Inference Model for Natural Language Inference

Understanding the semantic and logical relationships between sentence pair is a difficult problem to be solved in natural language understanding tasks. Although the Enhanced Sequential Inference Model is simple in structure and performs well in SNLI, the limited capacity of the this model limits its further improvement of performance. Inspired by Res-Net, we propose the res-ESIM by introducing the residual connection into the ESIM model to expand the capacity of the ESIM while maintaining properties of simple structure and easy training. We explore the performance of res-ESIM with word embedding and the ability of using the contextual embedding to enhance its performance. In the experiments on SNLI, GloVe is used as word embedding for the convenience of comparing with published models. In the experiments on MultiNLI, the output of BERT-base based on different enhancement methods is used as contextual embedding. The experiment results on SNLI showed that our model achieves competitive performance in all models that haven’t employed additional contextualized word representations and the experiment results on MultiNLI showed that res-ESIM can have more performance improvement than the original ESIM when the information of embedding is enhanced.
PENINGKATAN KETERAMPILAN MENULIS LAPORAN ILMIAH MELALUI METODE PROJECT BASED LEARNING DI PERGURUAN TINGGI

The objectives of this study are: 1) to improve the quality of student learning in semester 1 of Ambarrukmo Tourism College Yogyakarta through the Project Based Learning method. 2) to improve the writing skills of semester 1 students report at Ambarrukmo Tourism College Yogyakarta through the Project Based Learning method. This research is a classroom action research conducted in two cycles. Each cycle consists of four stages: (1) planning, (2) implementation phase, (3) observation phase, and (4) analysis and reflection phase. Data collection techniques include interviews, observation, tests, and document analysis. Data were analyzed using comparative and critical descriptive analysis techniques. in the first cycle the number of students who reached 76 was 51% and the average value was 72.3. In the second cycle, after the test writing report the first semester students who passed the study reached 98%. Learning increased by 57%. The average value achieved in the second cycle increased to 83.4. This is an increase of 11.1. The results showed that the application of the Project Based Learning method could improve the quality of learning and report writing skills through the Project Based Learning method in the first semester students of Yogyakarta Ambarrukmo College of Tourism.
LibGuides: TCOM 610 Approaches to Creativity: Home

Examines techniques for developing creative ideas. Students will imagine, innovate, and create experiential presentations and mediated works. Students are encouraged to be risk-takers and learn from the failure of their creative endeavors.
CySec: Cybersecurity Review Program for Professionals in Japan

In Japan, few university graduates specialize in cybersecurity. Moreover, many of them acquire knowledge in this field through intra-company and on-the-job training, and acquire professional skills through seminars and hands-on training provided by security vendors. Therefore, there are few opportunities to learn cybersecurity systematically. In this paper, we introduce CySec, a cybersecurity review program for professionals, which we have been involved with since 2014. As of the end of the 2019 academic year, we have admitted 242 students in this program and 127 students have graduated. In addition, the importance and difficulties of cybersecurity education for working adults are discussed herein, and the future of cybersecurity education is demonstrated.
Distributed Reasoning for Restricted Weakly-Linear Disjunctive Tuple-Generating Dependencies

We study the problem of distributed reasoning over connected database components with a class of ontologies based on disjunctive tuple-generating dependencies, called restricted weakly-linear disjunctive tuple-generating dependencies. This language extends linear tuple-generating dependencies as well as linear disjunctive Datalog. We provide the first distributability results on these queries and report experimental results on real-world ontology benchmark suites.
On the Trail of Nature: Collecting Scientific Evidence

To get closer to understand the nature of paths we need two kinds of data about the same networked system like the Internet, or the Bridges of Königsberg. First, we need at least an approximate network connecting its nodes and a large number of paths collected from real traces of packets. Using the words of the Bridges of Königsberg problem, we need the network representation of the lands and bridges (Fig. 3.2 ) and the footprints of people’s afternoon walks.
LibGuides: Lexis Digital Library for the Public: Home

This guide provides an overview of the Lexis Digital Library and how the public can gain access to it.
Bound-Constrained Optimized Dynamic Range Compression

We present a new spatially-varying dynamic range compression algorithm for high dynamic range (HDR) images based on bound-constrained optimization using soft constraints. Rather than explicitly attenuating gradients as in previous work, we minimize an objective function to instead compute a globally optimal manipulation of input pixel differences. Our framework provides simple yet effective preservation of visually important image properties, such as order statistics and global consistency, that requires little to no parameter tuning. Our results are free of haloing, washout, and other artifacts, while retaining detail across the image’s full range. The speed of our algorithm and flexibility of the constraint framework allows our method to be easily extended to video.
Geological Survey of South Australia: News

An open access paper by Dr Stephan Thiel, Dr Bruce Goleby, Dr Mark Pawley and Prof Graham Heinson entitled “AusLAMP 3D MT imaging of an intracontinental deformation zone, Musgrave Province, Central...
The Role of Professional Culture of Future Employees of The Penal System

The purpose of this research is to form a professional culture of future specialists of the penal system and a set of pedagogical conditions, contributing to its function. The main issues addressed in the study were aimed at identifying the following: what should be understood by the professional culture of future specialists in the penal system and what is necessary for the formation of a professional culture among cadets. The appliance of the integrated use of statistical and mathematical methods, methods of comparative analysis, interviewing, and components of innovative educational technologies aimed at obtaining maximum results of professional training in the process of forming competencies allowed obtaining certain results. The study revealed that the integrated use of all the components of professional culture in the educational process facilitates the adaptation of students to the educational environment, motivates their interest in educational and cognitive activities, stimulates personal development and intellectual activity, contributes to the formation of competencies that future criminal employees should have the executive system.
Application of second-order optimisation for large-scale deep learning

Deep neural networks have become some of the most prominent models in machinelearning due to their flexibility and therefore, their broad applicability. The training oflarge-scale deep neural networks requires vast computational resources. Stochastic gra-dient descent methods still enjoy great popularity but Hessian-based optimisation tech-niques are on the rise. While computing the second derivative of the loss function is stillcomputationally expensive, a possibly much faster convergence rate justifies the consid-eration of such methods. Gradient descent is inherently sequential and cannot take fulladvantage of highly parallelised computing architectures. This motivates the explorationof second-order optimisation methods also in the context of high performance comput-ing. This thesis aims to provide an overview of numerical challenges, their solutions andstochastic details regarding the application of Hessian-based optimisation to the trainingof large-scale deep neural networks. It lays emphasis on a strong theoretical foundation,which is crucial for the less heuristic second-order methods. The potential of a quasi-Newton method is showcased by outperforming gradient descent in optimisation of theloss function corresponding to ResNet.
Psycho-emotional factor of distance learning in Kazakhstan during the pandemic

This article may be interesting for further research in distance learning; it can be useful when studying the psychological changes that teenagers undergo due to the emergence of new educational condition.
PERANCANGAN SISTEM INFORMASI APLIKASI PENCARIAN STASIUN KRL JABODETABEK TERDEKAT BERBASIS ANDROID

Abstract - Transportation has been long part of people life, especially for the urban. The transportation need not only applied for the local, Jakarta as a capital city must be full of foreigner either for business purpose or others, and they are need a public transportation as well. Commuter Line Jabodetabek is the most preferable public transportation to avoid Jakarta’s traffic. The idea is to create a mobile application system which could easily help Commuter Line Jabodetabek user to get the information about the existence of the nearest station. The application system is analyzed and designed with a mobile application development approach. Application developed with JAVA, IDE (Integrated Development Environment) used is Android Studio, and to determine the nearest distance using Google Maps API. This application is equipped with mileage information and detailed station information so that station seekers can easily and accurately determine the nearest station and route to the station. Keywords: Commuter Line Jabodetabek, Train Station, JAVA, Android Studio .
Aplicativo Mobile para avaliar a acessibilidade de Objetos de Aprendizagem utilizando um Sistema Especialista

This paper presents the proposal to develop a mobile application to evaluate the accessibility of Learning Objects (LOs), applying Artificial Intelligence techniques, more specifically an Expert System (ES). The main objective was the development ofa prototype that will assess the accessibility of LOs in text format, initially in PDF and ePub formats, based on guidelines and recommendations that will be stored in the ES knowledge base. The methodology used in the development of the work will be the dissertation-project. As results, it is expected that the application can allow the registration of different LOs and define the level of accessibility of them.
Dynamic Graph Embedding on Event Streams with Apache Flink

Graphs are often considered an excellent way of modeling complex real-world problems since they allow to capture relationships between items. Because of their ubiquity, graph embedding techniques h ...