Reviewerly/exHarmony huggingface dataset:
The Track and Rolling Stock Interaction under the Heavy Haul Conditions

Abstract In order to study and assess the traffic safety there has been simulated a train movement along the track, having a plan and a profile, corresponding to the actual current track outline on which the diesel locomotives Vityaz 2TЭ25A are operated. The Kuznetsovskiy pass of the Far East Railroad has been chosen as the most difficult section. As a result of the calculations, values of main dynamic parameters of all sections of diesel locomotives have been determined when simulating a train moving along tangent track sections and curves of radius 200–600 m on descents and ascents with a slope of 25 ‰ in the traction and slowing-down mode, as well as longitudinal forces in automatic couplings of cars along the whole length of the train.
Library Guides: Alumni Services: Visit Us: In Person, By Phone, or Online

Holy Spirit Library continues to be here for you! Come back and see what we have done. We hope to be able to serve you.
LibGuides: Continuity of Learning Services at Sawyer library: Library Links in Blackboard

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions. Using PURLs to Create Stable Links on Online Library Materials
LibGuides: Continuity of Learning Services at Sawyer library: E-Resources

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions.
Classification Representations Can be Reused for Downstream Generations.

Contrary to the convention of using supervision for class-conditioned $\it{generative}$ $\it{modeling}$, this work explores and demonstrates the feasibility of a learned supervised representation space trained on a discriminative classifier for the $\it{downstream}$ task of sample generation. Unlike generative modeling approaches that aim to $\it{model}$ the manifold distribution, we directly $\it{represent}$ the given data manifold in the classification space and leverage properties of latent space representations to generate new representations that are guaranteed to be in the same class. Interestingly, such representations allow for controlled sample generations for any given class from existing samples and do not require enforcing prior distribution. We show that these latent space representations can be smartly manipulated (using convex combinations of $n$ samples, $n\geq2$) to yield meaningful sample generations. Experiments on image datasets of varying resolutions demonstrate that downstream generations have higher classification accuracy than existing conditional generative models while being competitive in terms of FID.
Parallel Residual Attention Network for Image Super-Resolution

Abstract The application of convolution neural networks (CNN) to image super-resolution has achieved excellent results. Inspired by these excellent results, we find that most models only increase the depth of the network in order to obtain deeper features. However, these models often cannot take full advantage of the original feature information from the low-resolution (LR) images. Moreover, the image information is mainly divided into high frequency information and low frequency information, and the existing image super resolution network models are mostly single-branch models, which limits the performance of extracting various aspects of image information. To resolve the problem, we proposed a parallel net work model. About the network, we proposed the LR residual block (LRB) and attention block (AB). LRB allows constantly replenishing original LR features in the process of extracting deep features, thus it can effectively extract more information from LR image. The AB contains the attention mechanism, it will ad just their weights based on the importance of the image features to extract more efficient features between low- resolution (LR) images and high-resolution (HR) images. Experiments on benchmark datasets show that our model performs better. We achieve higher accuracy and visual improvements against state-of-the-art methods.
PERBANDINGAN MODEL PEMBELAJARAN SAVI DAN PBL TERHADAP HASIL BELAJAR MATA PELAJARAN EKONOMI PADA SISWA XI SMA NEGERI 9 KOTA JAMBI

Abstract This study aims to determine the comparison of the use of learning models applied, namely SAVI learning models and PBL learning models in economic subjects with fiscal and monetary policy material in class XI IPS SMA Negeri 9 Jambi City. Based on research, it can be explained that the learning model can help students better understand the material being taught and be more focused in learning. The learning model used can make students more active and provide convenience in the learning process. Therefore, the role of the teacher is needed in order to understand the use of models, methods, strategies, and approaches in carrying out teaching and learning activities. The results of the study, obtained an average value of -0.53. Thus, it can be concluded that the SAVI learning model can help students be more active and enthusiastic in learning. Thus, it can be explained that the SAVI learning model can provide convenience and make students eager to learn this can be seen from the completeness of student learning. Keyword: SAVI, PBL, Learning Outcomes.
Review of the Studies on Multimedia Annotation in China Over the Past Two Decades

This paper reviews the studies on multimedia annotation from the following perspectives: theoretical construct on multimedia annotation, the empirical research on different effectiveness of types of multimedia annotation on the reading/listening comprehension and vocabulary acquisition, which aims to help the overseas scholars to know the present situation and the direction for the future research on multimedia annotation in China. The source data is mainly from the articles on multimedia annotation published in CNKI from Jan. 2000 to Jan. 2020 (www.cnki.net), and the situation is as follow: (1) most domestic scholars introduce and verify the multimedia annotation theories through empirical researches; (2) the researchers focus more on the effects of the types of multimedia annotation on the reading comprehension and the vocabulary acquisition compared to the effects on listening comprehension, and it could be classified into three effects: positive, negative and no effect, but the factors causing the above effects have not been systematically studied or summarized; (3) most scholars mainly take intermediate and advanced language level learners as the research subjects, the lower level learners should be also considered; (4) in the research of the types of the multimedia annotation, the theme of the research materials in reading/listening comprehension would be a new prospective which has been rarely studied compared to other types. To sum up, more researches should be done to investigate the effects of different types of multimedia annotation to the reading/listening comprehension and vocabulary acquisition, which should cover wider range of subjects and consider different types of experiment materials. And the author believes that it will enhance the EFL learning and teaching in the future.
Persepsi Pemustaka terhadap Sikap Pustakawan Layanan Sirkulasi di Perpustakaan Kota Yogyakarta

Public library of Yogyakarta is a public space open for people and become a place for Yogyakarta’s people to read, discuss and study. Library service must be organized maximumly to meet people’s satisfaction. The ability to produce a good service is a main requirement of librarian especially for circulation service staff. Circulation service is a main core of the library. This research is aimed to know the perception of user on li- brarian’s attitude in circulation service. This research used the quantitative descriptive method. The result of research in circulation service in city library using skill based is good enough. This can be seen from the respon of librarian in giving good informations, the service is also meet the expectation of the users, librarian’s atti- tude is showing care, kind and fun. But the respon on book demand and positive inputs from users still need to be improved
THE USE OF DISCOVERY METHOD IN TEACHING READING COMPREHENSION ON NARRATIVE TEXT

The purpose of this research is to investigate the effectiveness of discovery method in teaching reading comprehension. The design of research used is a pre-experimental research, and the data were collected by using measurement technique with multiple-choice reading test as the tool of collecting data. The obtained data were analyzed by using t-test. The results of data analysis showed that discovery method has the effect on the students’ ability in reading comprehension. The mean score of the students’ pre-test was 58.2 whereas the mean score of post-test was 64.8. The effect size of the treatment was 0.98 which is categorized as moderate effect. Thus, the alternative hypothesis that the use of discovery method in teaching reading comprehension on narrative text is effective to the eighth-grade students of SMP Kartika Kubu Raya in academic year 2016/2017. Therefore, the researcher believes the teachers can use the discovery method in their teaching learning process, especially in reading comprehension on narrative text.
LibGuides: Technology Integration in the Classroom : Home

Technology integration is the use of technology resources computers, mobile devices, smartphones and tablets, digital cameras, social media platforms and networks, software applications, the Internet, etc. in daily classroom practices.
LibGuides: Continuity of Learning Services at Sawyer library: Classroom Readings & Permissions

This guide provides information about the Library's online services for faculty, staff and students during the Covid-19 disruptions.
RARE-EARTH ELEMENTS MINERALS PLACER DEPOSITION MODELING FROM SATELLITE MULTISPECTRAL REMOTE SENSING IMAGING IN A SECTION OF NORTH CAROLINA’S NORTHERN FALL ZONE

The advent of multispectral satellite imaging has allowed surface mapping to be performed remotely. Using light wavelength ranges in both the visible and non-visible spectra, these images can be utilized to interpret surface lithologies and placer deposits. This study has used both combinations and ratios of spectra bands within the visible (0.45 µm - 0.67 µm), near infrared (0.85 µm – 0.88 µm), and shortwave infrared (1.57 µm – 2.29 µm) light wavelength ranges from imagery acquired by the medium-spatial-resolution capturing Operational Land Imager (OLI) onboard the Landsat 8 satellite (an Earth observation collaboration between NASA and USGS) in order to locate surface deposits of iron oxide- and hydroxyl-rich materials. In humid environments lateritic deposits are frequently associated with phosphate minerals such as monazite, which is one of the most abundant rare earth-bearing phosphate minerals. High-density siliciclastic minerals, such as zircon, have recently been observed in the coarse fractions of mined kaolins to be potential and significant sources of rare-earth elements (REE). By identifying areas rich in iron oxide- or hydroxyl-bearing minerals, then comparing these identified areas to other sources of lithologic data - including previously constructed geologic maps and drilling borehole records, this study anticipates aiding in locating areas of high potential for REE-bearing minerals recovery.
Heart of Darkness e la teoria lacaniana dei registri

This essay analyzes Heart of Darkness, developing two principles: (a) the idea that there exists a “conflictual” aesthetics, formalized by Nietzsche, according to which a work of art is alive because of a noble and productive struggle among different forces and styles; (b) an equally conflictual view of identity, which characterizes human beings as essentially plastic beings that fluctuate between the tendency to coincide with what they are and a drive to outstrip, transcend their identity. It was with this view in mind that Bakhtin made a distinction between Racine’s and Dostoevsky’s characters. Heart of Darkness demands that we develop further his suggestion, because the two “limit-surpassing” characters, Kurtz and Marlow, are very different: Kurtz is a figure of excess, the man who breaks the principium individuationis, to immerse himself in the wilderness. Marlow is the need to understand the complexity of human beings with the help of language. In Register theory we find the tools best suited to approach the dangerous attraction alterity can exert. Marlow is not the double of Kurtz, and does not cut off the link with the Symbolical. His voyage toward the Real, towards the incandescence of das Ding, is knowledge rather than dissolution.
Apartemen Mahasiswa di Solo dengan Pendekatan Arsitektur Kontemporer

Science is very important for a country. Especially in developing countries like Indonesia. The development of education in Indonesia today is very alarming. This can be proven by UNESCO data (2000) about the ranking of the Human Development Index (Human Development Index), namely the composition of the rankings of achievement of education, health and income per head. In fact, Indonesia's human development index is declining. The cause of the decline in the quality of education in Indonesia is one in the field of technology and facilities and infrastructure that support education. Therefore, at this time it is very important to improve educational facilities and infrastructure in various regions in Indonesia, one of which is in the Special Region of Yogyakarta. The Surakarta area, precisely in Jebres District, has educational potential, especially for tertiary institutions. In Solo itself is currently improving facilities and infrastructure, one of which is a student apartment. The development of prospective students in the city of Solo continues to increase every year, this can be seen from the last 3 years of 2016, 2017, 2018 the number of students in the City of Solo that continues to increase The current condition of the campus environment in Surakarta currently has several concepts, including; Green Building; Contemporary; Traditional in several universities. Examples of the application of Green Building with a combination of Contemporary include; Air conditioning by using a centralized air conditioner with VRV (Variable Refrigerant Volume) technology; Lighting using LED lights; Waste water recycling; and The use of glass with emissions. By carrying out this concept, contemporary architectural design will be applied with a combination of green building concepts, current and environmentally friendly. Seeing from the above quote, the importance of improving infrastructure in the form of apartments by carrying out the concept of contemporary architecture
Criteria Based Evaluation Framework for Service Oriented Methodologies

Service Oriented Software Engineering is based on concepts and principles for constructing complex enterprise systems in which services as building block of the system, are distributed in large networks. The main goal of the service oriented methodologies is to define a process for development and maintenance of service based systems. Most of the Service Oriented methodologies are not mature enough compared with traditional software development methodologies such as Object Oriented or Component-Based. Hence, defining an evaluation framework will be useful for comparing methodologies for identifying their strengths and weaknesses, defining new methodologies or extending existing Service Oriented methodologies. At the time being, there is no complete evaluation framework for evaluating Service Oriented methodologies. The principal objective of this paper is to introduce a comprehensive evaluation framework for evaluating Service-Oriented methodologies. This evaluation tool is appropriate for methodology engineers to develop new methodologies, as well as project managers to select an appropriate methodology at a specific project.
Application of BAPER Learning Media on Student Learning Outcomes

Abstract The learning process at the Universitas Muhammadiyah Palangkaraya in the Basic Science Course has not been fully maximized in the use of learning media. The purpose of this study was to find out the student learning outcomes in the sub-material sub-field from basic science subjects through the use of BAPER (BAwah PERmukaan/subsurface) learning media in the form of underground maps at the Campus II location of Universitas Muhammadiyah Palangkaraya. The research method used an experimental design pre-post control group design. The study population was third-semester students participating in the Basic Sciences Course at Universitas Muhammadiyah Palangkaraya. The results showed an increase from the pre-test score with an average of 65.71 to a post-test score with 85.29, as well as increase in psychomotor skills with an average pre-test score of 60 being a post-test score of 80. These results indicate an increase in student learning outcomes, both cognitive and psychomotor.
Self-Testing of Quantum States Using Symmetric Local Hidden State Model

We introduce a symmetric local hidden state $(slhs)$ model in a scenario, where two spacially separated parties receive quantum states from an unknown source. We derive an inequality based on the model. A completely new form of nonlocality emerges from the resource theoretic point of view. The inequality singles out a larger set of quantum correlated states in the higher dimensional scenarios $(d> 2 $ X $2)$ than what is predicted by the existing $lhs$ model, opening a new front for the experimentalists to test the accuracy of the prediction. We propose an experiment to show the experimental violation of the inequality in the two qubit scenario and perform the experiment on the IBM quantum computer. However, the experimental method adopted for the two-qubit scenario does not naturally generalize in the higher dimensional scenarios and leaves the experimental verification of the claim open. We also show that the maximal violation of the inequality can be used to self-test the Bell state and measurement bases, leading to complete device-independence.
BRASS Business Guides: Conferences for Business Librarians: Home

A list of conferences geared towards business librarians, with a number of good general ones with possible business applications.
Image Patch Similarity Through a Meta-Learning Metric Based Approach

This paper proposes a novel approach to learn the best representation of the image patches to determine the similarity degree between cross-spectral regions (patches). The present work tackles this problem using a few-shot metric based meta-learning framework able to compare image regions and determining a similarity measure to decide if there is similarity between the compared patches. Our model is training end-to-end from scratch. Experimental results have shown that the proposed approach effectively estimates the similarity of the patches and, comparing it with the state of the art approaches, shows better results.
Subject Guides: Library News: Finding Fulltext

Information about the current status of the Document Delivery and Bonus+ services, as well as options for finding fulltext resources from home.
Universal Approximation on the Hypersphere

It is well known that any continuous probability density function on $\mathbb{R}^m$ can be approximated arbitrarily well by a finite mixture of normal distributions, provided that the number of mixture components is sufficiently large. The von-Mises-Fisher distribution, defined on the unit hypersphere $S^m$ in $\mathbb{R}^{m+1}$, has properties that are analogous to those of the multivariate normal on $\mathbb{R}^{m+1}$. We prove that any continuous probability density function on $S^m$ can be approximated to arbitrary degrees of accuracy by a finite mixture of von-Mises-Fisher distributions.
An Efficient Content, Collaborative-Based and Hybrid Approach for Movie Recommendation Engine

The purpose of the project is to research about Content and Collaborative-based movie recommendation engines. Nowadays recommender systems are used in our day to day life. We try to understand the distinct types of reference engines/systems and compare their work on the movies datasets. We start to produce a versatile model to complete this study and start by developing and relating the different kinds of prototypes on a minor dataset of 100,000 evaluations. The growth of e-commerce has given rise to recommendation engines. Several recommendation engines exist within the market to recommend a wide variety of goods to users. These recommendations support various aspects such as users' interests, users' history, users' locations, and more. Away from all the above aspects; one thing is common which is individuality. Content and collaborative-based movie recommendation engines recommend users based on the user's viewpoint, whereas many things are there within the marketplace that are related to which a user is uninformed of. This stuff should also be suggested by the engine to clients; But due to the range of  individuality , these machines do not suggest things that are out of the crate. The Hybrid System of Movie Recommendation Engine has crossed this variety of individuality. The Movie Recommendation Engine will suggest movies to clients according to their interest and be evaluated by other clients who are almost user-like. Additionally, for this, there are web services that are capable of acting as a tool adornment.
Application of Virtual Reality Technology in the Teaching of 3D Animation Course

This paper starts from the teaching practice of virtual reality technology and 3D animation course and expounds the connotation and features of virtual reality technology and the curriculum teaching revolution generated by the integration of 3D animation technology. Especially focuses on the innovation of the teaching idea of 3D animation course, the abundance of teaching methods, the enthusiasm of learners, and the application of curriculum which are brought by the virtual reality technology. It provides references for researchers who involved in teaching reform of virtual reality technology and 3D animation course.
LibGuides: MLA: Home

MLA Style Guide 8th ed. Information adapted from Lunsford, Andrea A. EasyWriter. 2nd ed., Bedford/St. Martins, 2019.
RGBD-Dog: Predicting Canine Pose from RGBD Sensors.

The automatic extraction of animal \reb{3D} pose from images without markers is of interest in a range of scientific fields. Most work to date predicts animal pose from RGB images, based on 2D labelling of joint positions. However, due to the difficult nature of obtaining training data, no ground truth dataset of 3D animal motion is available to quantitatively evaluate these approaches. In addition, a lack of 3D animal pose data also makes it difficult to train 3D pose-prediction methods in a similar manner to the popular field of body-pose prediction. In our work, we focus on the problem of 3D canine pose estimation from RGBD images, recording a diverse range of dog breeds with several Microsoft Kinect v2s, simultaneously obtaining the 3D ground truth skeleton via a motion capture system. We generate a dataset of synthetic RGBD images from this data. A stacked hourglass network is trained to predict 3D joint locations, which is then constrained using prior models of shape and pose. We evaluate our model on both synthetic and real RGBD images and compare our results to previously published work fitting canine models to images. Finally, despite our training set consisting only of dog data, visual inspection implies that our network can produce good predictions for images of other quadrupeds -- e.g. horses or cats -- when their pose is similar to that contained in our training set.
Research Guides: Tips for Using Library Search: Using the Get This Service

Provides some tips and strategies for effectively using the University of Michigan Library search engine.