Reviewerly/exHarmony huggingface dataset:
Application Research on Super-resolution of Downhole Image Based on Sparse Representation

Aiming at the problems of blur and poor edge retention ability in the process of super-resolution reconstruction of underground images with uneven illumination, an improved super-resolution reconstruction algorithm based on sparse representation is proposed. Firstly, the reconstructed image is converted to the HSV space. According to the Retinex theory, the center surround method is adopted to extract the illumination distribution of the scene by using Gao Si continuous convolution. Secondly, an adaptive gamma correction function is constructed. The ratio of the light distribution to the median of the luminance value in the low brightness region is taken as the parameter, and the gamma correction is carried out to make the edge information of the image clearer. In order to preserve the global contrast, the reconstructed image is transformed by top cap. Then, the top cap transformed image and gamma corrected image are superimposed, and the whole system characteristics and local details of the image are taken into account. Finally, the super-resolution reconstruction of the superimposed image is carried out using the trained dictionary. Experimental results show that compared with other algorithms, the reconstruction of downhole images improves the visualization effect.
Innovative Exploration of Physical Education Teaching Model in Higher Vocational Colleges from the Perspective of “Healthy China”

NOTICE OF RETRACTION: While investigating potential publication-related misconduct in connection with the ICIMTech 2021 Conference Proceedings, serious concerns were raised that cast doubt on the integrity of the peer-review process and all papers published in the Proceedings of this Conference. The integrity of the entire Conference has been called into question. As a result, of its investigation, ACM has decided to retract the Entire Conference Proceedings and all related papers from the ACM Digital Library.
Aspek Kepribadian Tokoh Utama dalam Novel Kenanga Karya Oka Rusmini: Tinjauan Psikologi Sastra dan Implementasinya sebagai Bahan Ajar Sastra di SMA

This study aims to explain (1) the structure that builds Oka Rusmini’s Kenanga (2) Kenanga's personality as the main character (3) its implementation as literary teaching material in SMA. The research method is descriptive qualitative. The techniques of collecting data are through library, heed and taking notes. The type of research is library research and the data validation uses triangluation theory. The results of this study are (1) the structure of novel Kenanga covers the theme of a very complex journey of life both in terms of culture, history, and romance, and the facts of the story include a mixed plot, one main character and nine additional figures, the setting in Bali and Yogyakarta, the social setting of Balinese customs which occurred in 1990-1991, (2) there are three types of human personality in the main character according to the Id, Ego, and Superego aspects. (3) the results of this study can be implemented as literary teaching materials in high school in KD 3.11 grade XI according to the selection criteria according to aspects of language, aspects of psychology, and aspects of cultural background of students.
MODELS AND FUZZY MICROCLIMATE CONTROL SYSTEM IN THE STORAGE OF ARCHIV GE OF ARCHIVAL DOCUMEN AL DOCUMENTS

In this article, the main object of research is the creation of appropriate microclimatic conditions to ensure reliable and high-quality storage of archival documents, as well as automatic control of the optimal values of the main parameters of the external and internal environment that directly affect the quality of storage. To control the microclimate, three categories of models for automatic control of these parameters are considered separately in the archives: the “white box”, “black box” and “gray box " models. The results of the analysis of the advantages and disadvantages of the considered models are presented. The generalized structure of the microclimate management system is also given, as well as a list of controlled and changeable parameters of the microclimate management system of archives. It is proposed to use the fuzzy logic apparatus to create microclimate control systems in archival repositories, which allows synthesizing stable algorithms for its functioning in conditions of uncertainty. The specific steps that need to be performed when designing and using fuzzy inference systems and which are implemented based on the rules of fuzzy logic are listed. When designing and using fuzzy inference systems, it is necessary to observe certain stages that are implemented based on the rules of fuzzy logic. A generalized algorithm for forming a rule base with a technique for implementing the fuzzy inference procedure is presented. The tasks that need to be solved when designing a fuzzy control system are indicated. A system of automatic temperature control in archival repositories with a fuzzy logic controller is presented.
RETRACTED: Teaching Reform and Practice Exploration of Water Environment Chemistry and Control Technology Based on Computer Technology

Abstract Water environmental chemistry is an important part of environmental chemistry teaching, and with global warming, water environmental chemistry teaching can cultivate the awareness of environmental protection, the traditional water environment teaching course is relatively boring, the textbook content is too simple. Based on this, this paper firstly explains the problems existing in the teaching of water environmental chemistry and the advantages of multimedia teaching in the teaching of water environmental chemistry, and then explores them in combination with specific experiments for the reference of readers.
LibGuides: Library & Technology Services: Orientation 2021 Materials

A resource guide with information about accessing electronic resources and Law Library and Technology services.
Database Reconstruction from Noisy Volumes: A Cache Side-Channel Attack on SQLite

We demonstrate the feasibility of database reconstruction under a cache side-channel attack on SQLite. Specifically, we present a Flush+Reload attack on SQLite that obtains approximate (or noisy) volumes of range queries made to a private database. We then present several algorithms that, taken together, reconstruct nearly the exact database in varied experimental conditions, given these approximate volumes. Our reconstruction algorithms employ novel techniques for the approximate/noisy setting, including a noise-tolerant clique-finding algorithm, a Match & Extend algorithm for extrapolating volumes that are omitted from the clique, and a Noise Reduction Step that makes use of a closest vector problem (CVP) solver to improve the overall accuracy of the reconstructed database. The time complexity of our attacks grows quickly with the size of the range of the queried attribute, but scales well to large databases. Experimental results show that we can reconstruct databases of size 100,000 and ranges of size 12 with error percentage of 0.22 % in under 12 hours on a personal laptop.
Geological Settings and Geochemistry of Younger Granitic Rocks from Kuba Area, Ropp Complex, North-Central Nigeria

Kuba area is located in the Ropp complex of Younger Granite Province in northcentral Nigeria. Granitic rocks samples were studied geologically and geochemically using ICP-MS analysis for major oxides, trace and rare earth elements. The present study focuses on the determination of geological settings and geochemistry of granitic rocks in Kuba area. In the SiO2 versus total alkali diagram (TAS) of granitic rocks for Kuba area, the granitic rocks predominantly plot in the alkaline field. Based on the A/CNK ratio (Al2O3/CaO+Na2O+K2O) which is >1, the younger granitic rocks are peraluminous in composition. The granitic rocks from Kuba area can be classified as A-type based on the classification of granites because of their alkalinity, anhydrous characteristic and presumed anorogenic tectonic settings. The normalized ratios of LaN/YbN for granite porphyry ranges from 27.11 to 28.33 and biotite granite ranges from 8.69 to 9.01. The normalized ratio of CeN/YbN for granite porphyry varies from 19.63 to 20.85 and biotite granite varies from 4.85 to 5.48. The normalized ratio LaN/SmN for granite porphyry ranges from 5.86 to 6.12 and biotite granite ranges from 2.88 to 2.91. The high values of the normalized ratios of La to Yb, Ce to Yb and La to Sm are evidence of high degree of fractionation, which show that the REE patterns are LREE enriched with the higher values recorded in the more fractionated granite porphyry than the biotite granite. The negative Eu anomalies in the granitic rocks show that high amount of plagioclase was removed from the felsic magma during fractional crystallization
LibGuides: Latinx: Websites and Organizations

This Library's Research Guide helps patrons and researchers navigate Solano County Library services and resources dealing with Latinx Studies. Helpful websites and organizations related to the Latinx community
Cost-effective data analytics across multiple cloud regions

We propose a cloud-native data analytics engine for processing data stored among geographically distributed cloud regions with reduced cost. A job is split into subtasks and placed across regions based on factors including prices of compute resources and data transmission. We present its architecture which leverages existing cloud infrastructures and discuss major challenges of its system design. Preliminary experiments show that the cost is reduced by 15.1% for a decision support query on a four-region public cloud setup.
Enhancing Long Radius Testability with Subaperture Stitching Interferometry

Long radius of curvature surfaces (&gt;1 m) often require custom transmission spheres or a long interference cavity. Subaperture stitching interferometry can significantly expand testability of such long radii using standard transmission elements.
Tracks in Snow: A Digital Play About Judaism and Home

Author(s): Junius, Nick | Advisor(s): Swensen, Elizabeth | Abstract: The game making up this thesis, Tracks in Snow, and by extension the underlying technology of Puppitor, began with a simple premise: what if instead of players choosing what they wanted to say they instead were mainly focused on how they were saying it? This approach has been heavily inspired by the work on theater productions, particularly when production started, seeing the actors and directors take the words I’d written in quite different directions than what I’d had initially envisioned. Also let’s face it, we call a play a play. Why not try to make the playing of a play the basis for digital character interaction? After all, it’s been working for humans for several thousand years. To reach these ends I built a computational caricature of theatrical acting practices, including Stanislavsky’s Method, Anne Bogart and Tina Landau’s Viewpoints, and Zeami’s Treatises on Noh drama as a way to shift players away from controlling the structure of a narrative and towards control over the details. Tracks in Snow is built in Ren’Py to wrap this novel interaction style in a more familiar format. The game’s story focuses on one character’s crisis of faith and another’s longing for a home that only really exists in the past. My hope is that the interface I have created gets players to focus more on role-playing characters than trying to optimize their responses.
The role of knowledge management in organizational performance: A case study

The huge amount of knowledge in our daily lives and the continuous work to organize and use it in the best possible way have led to the emergence of knowledge management. On the other hand, the term is a widely used vocabulary in management, and pursuing the best performance will always be the ultimate goal of all organizations. During a change in the organizational interaction, project, administration, or some other factors may disrupt the framework of knowledge management. Furthermore, when the change is managed, there are high possibilities that the linkage of data could be influenced and don't give proper outcomes when it is recovered on various events. Additionally, it is clear that associations that apply knowledge management framework avail from the information and data needed on any event while ensuring that all components, including accountabilities, cycles, advancements, and administration, are being performed immaculately. In this way, our research features the potential pitfalls that may disrupt the knowledge management framework while dealing with a change and proposed an all-inclusive framework to manage any change in the association. The main source of the data presented in this study was obtained from interviews conducted with professionals in the field who are currently employed in Precision Industries LLC, Dubai, United Arab Emirates. They were asked about issues they faced while managing KM framework during change management. This study suggested a structured framework to be utilized during an organizational change so KM pitfalls may diminish and achieve a successful change management strategy.
A Novel Implementation of Sentiment Analysis Toward Data Science

In the big data era, sentimental analysis has evolved over the past few decades, and majority of the work is about text mining with sentimental analysis. Huge amount of data are flowing in larger volume and it is stored in the form of tabular, images, or recorded speech; but it is difficult to analyze the data effectively. Although most companies understand the need to collect and store data, many of the companies do not know how to utilize all these data yet. When the recorded speech is not useful for big data analysis in its original form, speech-to-text (STT) algorithms is widely available and the applications grow. One of the major applications of sentiment analysis (SA) for social goods includes human computer interaction, and we specifically investigate the benefit of SA in inventory management system. This chapter presents the STT on the SA. Furthermore, it implements the speech-text translation using machine learning algorithm, called logic regression classifier, to report its efficiency. Our proposed model achieves the accuracy of 81%, which is sufficient for practical use.
Membuat Tampilan Dashboard Website Biro Psikologi Putra Tunggal Beserta Fungsinya

The development of information technology, especially the internet, which has been very rapid in the last decade has made communication and information dissemination faster and easier, without limitation of space and time, technological developments, especially in the field of administration and promotion, have made companies keep abreast of technological developments. -companies create websites to attract sales power, trust, and at the same time facilitate the company in the administrative process. In this case the author will design an information website to help CV. Putra Tunggal Psychology Bureau in facing competition in the current era of globalization.. A website has a collection of site pages, which are usually encapsulated in a domain located on the World Wide Web (WWW) page on the Internet. CV Biro Psikologi Putra Tunggal is a company engaged in consulting services, in which to promote its consulting services using manual promotions such as; brochures, pamphlets, newspapers, etc. to attract client attractiveness, with this website it is hoped that this website will increasingly attract client attention due to the dynamic appearance of the website and complete with the information needed by clients, so that it has more selling value for CV. Putra Tunggal Psychology Bureau because the website display is dynamic and easy to understand. Keywords: Information Technology, Website, Psychology Bureau, Information Systems
AN ANALYSIS OF STUDENTS’ GRAMMATICAL ERRORS IN DESCRIPTIVE WRITING TEXT AT TENTH GRADE OF SMA DWIJENDRA DENPASAR IN THE ACADEMIC YEAR 2019/2020

This research aimed at analysing the types of students’ grammatical errors in writing English descriptive text. The subjects of this study were 30 students of SMA Dwijendra kelas X IPS I. This research was descriptive qualitative. Writing test was used as the instrument to collect the data. Based on the result of data analysis which used the surface strategy taxonomy theory, it was found that there were 91 grammatical error consisting of 26 (28.57 %) Omission, 25 (27.47 %) Addition, 35 (38.46 %) Misformation, dan  5 (5.49 %) Misordering. Misformation was found to be the most dominant grammatical error which was apparently caused by intralingual factor.
LibGuides: LibGuides Website Tips: Adjust link text size

This guide accompanies PALNI's Website Style Guide and focuses on assisting you to create a custom website in LibGuides
Object Regognition and Detection using Yolo V3

Object detection and identification is an entrancing field, and as such, apart from research applications automatic object detection applications are being witnessed in real-time domains such as non-stop surveillance and in different industries and businesses. The improved capabilities in both hardware and software have led to fast and pivotal discoveries in this arena. Convolutional neural network (CNN) is the most representative model of deep learning and in this paper, a variant of CNN namely  YOLO v3 is experimented with for localizing twenty different object classes that include aeroplane, person, car etc. The work is done using darknet-53 pre-trained model as the backbone network using open CV python, and TensorFlow 2.0. Images taken from two different datasets namely COCO and Pascal VOC datasets are given as input to the model and theoutput  in the  form of bounding boxes, accompanied by objectness score  and class label. The results indicate that YOLO V3 is very efficient in object detection.
Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds.

The problem of Multi-Agent Path Finding (MAPF) calls for finding a set of conflict-free paths for a fleet of agents operating in a given environment. Arguably, the state-of-the-art approach to computing optimal solutions is Conflict-Based Search (CBS). In this work we revisit the complexity analysis of CBS to provide tighter bounds on the algorithm's run-time in the worst-case. Our analysis paves the way to better pinpoint the parameters that govern (in the worst case) the algorithm's computational complexity. Our analysis is based on two complementary approaches: In the first approach we bound the run-time using the size of a Multi-valued Decision Diagram (MDD) -- a layered graph which compactly contains all possible single-agent paths between two given vertices for a specific path length. In the second approach we express the running time by a novel recurrence relation which bounds the algorithm's complexity. We use generating functions-based analysis in order to tightly bound the recurrence. Using these technique we provide several new upper-bounds on CBS's complexity. The results allow us to improve the existing bound on the running time of CBS for many cases. For example, on a set of common benchmarks we improve the upper-bound by a factor of at least $2^{10^{7}}$.
Key Issues of Real-time Collision Detection in Virtual Reality

With the rapid development of computer technology and network communication and other related fields, virtual reality has been widely used in all aspects, but there are still some problems at present.It cannot generate data information during real-time collision detection.However, the real-time collision detection system in virtual reality can accurately and quickly track and measure the target object.Therefore, this paper studies the real-time collision detection problem in virtual reality based on fast tracking of the target.To this end, this article mainly uses experimental methods, data collection methods and other methods to carry out algorithmic research and technical exploration on real-time collision detection problems.This article describes the virtual reality technology and collision detection algorithm in detail, and conducts real-timecollision experiments.Experimental results show that collision detection based on particle swarm algorithm has high real-time performance, and the time is controlled within 1 second.This algorithm is worthy of being used and explored in collision problems.
Inductive logic programming applied for knowledge representation in computer music/ Programação lógica indutiva aplicada para representação do conhecimento em música computacional

In Computer Music, the knowledge representation process is an essential element for the development of systems. Methods have been applied to provide the computer with the ability to generate conclusions based on previously established experience and definitions. In this sense, Inductive Logic Programming presents itself as a research field that incorporates concepts of Logic Programming and Machine Learning, its declarative character allows musical knowledge to be presented to non-specialist users in a naturally understandable way. The present work performs a systematic review based on approaches that use Inductive Logic Programming in the representation of musical knowledge. Questions that these studies seek to address were raised, as well as identifying characteristic aspects related to their application.
Hubungan Dukungan Sosial Guru dan Efikasi Diri Siswa Dengan Motivasi Berprestasi Siswa Kelas 5 SDN Gugus V Mataram

This study aims to determine the relationship between teacher social support and student self-efficacy with the achievement motivation of 5th graders at SDN Gugus V Mataram. This research approach is a quantitative correlation research. The sample in this study were 5th grade students of SDN Gugus V Mataram, totaling 147 students with proportional random sampling technique. The method used for data collection is in the form of a questionnaire. The data obtained were then processed by using product moment correlation analysis techniques and multiple correlation analysis. The results showed that there was a positive and significant relationship between teacher social support and student self-efficacy together with student achievement motivation. With an R value of 776 and a p of 0.000 which is smaller than 0.05. This shows that the higher the teacher's social support and student self-efficacy, the higher the student's achievement motivation. The level of the relationship can be seen from the coefficient of determination of 59.1%.
Operating a Complex SLT System with Speakers and Human Interpreters

We describe our experience with providing automatic simultaneous spoken language translation for an event with human interpreters. We provide a detailed overview of the systems we use, focusing on their interconnection and the issues it brings. We present our tools to monitor the pipeline and a web application to present the results of our SLT pipeline to the end users. Finally, we discuss various challenges we encountered, their possible solutions and we suggest improvements for future deployments.
LibGuides: Grade 1 Library Guide, PXES: Nonfiction

Materials to help support Grade 1 literacy units, including Small Moments, . . . . .(to be completed as the 2020-21 School Year progresses)