Reviewerly/exHarmony huggingface dataset:
Obround trees: sparsity enhanced feedback motion planning of differential drive robotic systems

Robot motion planning & control is one of the most critical and prevalent problems in the robotics community. Even though original motion planning algorithms had relied on "open-loop" strategies and policies, researchers and engineers have been focusing on feedback motion planning and control algorithms due to the uncertainties, such as process and sensor noise of autonomous robotic applications. Recently, several studies proposed some robust feedback motion planning strategies based on sparsely connected safe zones. In this class of planning and control policies, local control policy inside a single zone computes and feeds the control actions that can drive the robot to a different connected region while guaranteeing that the robot never exceeds the boundaries of the active area until convergence. While most of these studies apply only to holonomic robotic models, a recent motion planning method (RCT) can solve the motion planning and navigation problems for unicycle like robotic systems based on a randomly connected circular region tree. In this paper, we propose a new/updated feedback motion planning algorithm that substantially enhances the sparsity, computational feasibility, and input effort compared to their methodology. The new algorithm generates a sparse neighborhood tree as a set of connected obround zones. Obround regions cover larger areas inside the environment, thus leads to a more sparse tree structure. During navigation, we modify the nonlinear control policy adopted in RCT method to handle the obround shaped zones. The feedback control policy navigates the robot model from one obround zone to the adjacent area in the tree structure, ensuring it stays inside the active region's boundaries and asymptotically reaches the connected obround. We demonstrate the effectiveness and validity of the algorithm on simulation studies. Our Monte Carlo simulations show that our enhancement to the original algorithm probabilistically improves the sparsity, and produces smoother trajectories compared to two motion planning algorithms that rely on sampling based neighborhood structures.
Petrology, phase equilibria and In-situ U-Th-Pbtotal monazite geochronology of metasedimentary rocks from Pranhita-Godavari Basin and its implication in Mesoproterozoic-Neoproterozoic Supercontinent Assembly

&amp;lt;p&amp;gt;The Pakhal basin occurs as two parallel NW-SE trending sub-basins (Western and Eastern) located at the East-Dharwar Craton (EDC) and the Bastar Craton junction. The metasedimentary rocks exposed at the western side of the basin are known as the Pakhal belt, whereas those exposed on the eastern sides are known as the Albaka belt. The aggregate thickness of the sediments is nearly 6000 meters. Researchers have studied the geochemical affinities of Pakhal and Albaka rock, which proved to be crucial to understand the basin-architecture, source of sediments, and basin evolution in the context of rifting of the Dharwar and the Bastar craton However, the timing of inversion of tectonics and subsequent basin convergence is not studied.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Xenoliths of metasedimentary rocks are exposed within the EDC granites near the Pakhal basin. Aggregates of biotite, muscovite, plagioclase, and quartz constitute these metasedimentary rocks. Monazite, zircon, and iron-oxide are present as accessory minerals. The X&amp;lt;sub&amp;gt;Mg&amp;lt;/sub&amp;gt; Biotite (22 Opfu) varies from 0.86-0.10 and Ti content of biotite varies between 0.26-0.34 apfu. The mica is mostly muscovite with mean Si (22 Opfu.) content of 6.28 apfu. The X&amp;lt;sub&amp;gt;Ab&amp;lt;/sub&amp;gt; of plagioclase is constrained to be 0.97 apfu. The P-T conditions of metasedimentary xenoliths are constrained by using conventional geothermobarometers and P-T pseudosection analysis. The Ti content in biotite yield peak temperature 650&amp;lt;sup&amp;gt;0&amp;lt;/sup&amp;gt;C for the stabilization of biotite. The P-T pseudosection analysis and subsequent modeling of compositional parameters imply a temperature window of 600-700 &amp;lt;sup&amp;gt;0&amp;lt;/sup&amp;gt;C and pressure 0.6-1.0 GPa for the stability of biotite-muscovite-plagioclase-quartz assemblages. ~ 50 &amp;amp;#956;m monazites grains are dispersed throughout the studied sample. The ThO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; content in the monazite grains varies between 1.7-5.8 wt%. Compositionally, the monazite grains are mostly La-Ce-Nd monazite in a tripartite classification. In a histogram distribution, the U-Th-Pb total spot ages exhibit two prominent peaks, at ~ 1295 Ma and ~ 1111 Ma. When combined with the P-T pseudosection analysis, the monazite ages imply rifting and opening the basin at ~ 1295 Ma. The ~ 1111 Ma monazite growth is correlated with granite emplacement and amalgamation of the Dharwar and the Bastar craton during Neoproterozoic Rodinia assembly.&amp;lt;/p&amp;gt;
Pengenalan Logo Kendaraan Menggunakan Metode Local Binary Pattern dan Random Forest

The vehicle logo is one of the features that can be used to identify a vehicle. Even so, a lot of Intelligent Transport System which are developed nowadays has yet to use a vehicle logo recognition system as one of its vehicle identification tools. Hence there are still cases of traffic crimes that haven't been able to be examined by the system, such as cases of counterfeiting vehicle license plates. Vehicle logo recognition itself could be done by using various feature extraction and classification methods. This research project uses the Local Binary Pattern feature extraction method which is often used for many kinds of image recognition systems. Then, the classification method used is Random Forest which is known to be effective and accurate for various classification problems. The data used for this study were as many as 2000 vehicle logo images consisting of 5 brand classes, namely Honda, Kia, Mazda, Mitsubishi, and Toyota. The results of the tests carried out obtained the best accuracy value of 88.89% for the front view logo image dataset, 77.03% for the side view logo image dataset, and 83% for the dataset with both types of images.
LibGuides: A Guide to TED Talks: Best Practices to Prepare

Welcome, all! This LibGuide will explore TED Talks, the showcase of speakers presenting new ideas in a short amount of time.
RETRACTED: Construction of innovation and entrepreneurship teaching scene under the background of numeral intelligence: Based on the theory of actor-network

With the continuous deepening of innovation and entrepreneurship education, innovation and entrepreneurship education is faced with the problem of upgrading. The construction of the innovation and entrepreneurship teaching scene is the key to solving “teaching and learning” in the process of upgrading. Based on the translation mechanism of actor-network theory, this paper probes into the three paths of “structure scene, classroom teaching scene and learning mode” to construct the teaching scene of innovation and entrepreneurship, which is a new path to explore the innovation and reform of innovation and entrepreneurship teaching by integrating numeral intelligence technology.
The Influence of Using Weblog and Printed Materials on Students’ Writing Skills of the First Grade at SMKN 1 Bulukumba

In experimental class, the mean score of pre-test was 66.8 and the mean score of post-test was 79.1. While in control class, the mean score of pre-test was 64 and the mean score of post-test was 72.55. While, both of the classes areimproved, the significant improvement happened in experimental class. In addition, the value of the t-test (2.67) was higher than the t-table (2.042) at the level of significant 0.05 with degree of freedom (df) = 38. Based on the result of this research, the researcher concluded that using weblog was effective to improve the students’ writing skills of the first grade at SMKN 1 Bulukumba in academic year 2018/2019.
Information System for Predicting Warehouse Stock and Utilities (Case Study: PT KERAMIK XYZ)

PT KERAMIK XYZ is one of the companies engaged in the production of ceramics. The company sometimes subjected to declining wall tiles on the market and at warehouses where wall ceramic stocks are sometimes subjected to buildup. Therefore, the research of "Information System Prediction Stock and Warehouse Utility" uses the Fuzzy Time Series Markov Chain method and Fuzzy Mamdani Method. So that the problem of ceramic wall stock and the layout of the placement of ceramic wall stock in the warehouse does not occur again and can be resolved. In the Fuzzy Time Series Markov Chain method, the calculation of prediction results of ceramic stocks of the Base Tile dCaliza Valle type results in forecasting values of (0, 717, 483, 483), then by means of the MAPE (Mean Absolute Percent Error) test method produces an error percentage of 13%. The results of the calculation of the level of accuracy are good and can be used in this case study. So, the results of the calculation of the level of accuracy are good and can be used in this case study. Then for the results of the prediction of the layout of the ceramic stock placement in the warehouse using the Fuzzy Mamdani method get an accurate calculation of 22%.
Art education for communication in the society: a content analysis: Educação de arte para comunicação na sociedade: uma análise de conteúdo

This study aims to identify the current trends in the published articles on art education and society to generate a systematic review in this field. Document analysis as a qualitative research method was used in the study in order to achieve this aim. Data of the study were obtained from Google Scholar database by searching the keywords inclduing “art education”, “communication” and “society”. Based on a comprehensive search, a total number of 91 articles were obtained. The obtained data were examined based on content analysis criteria including year of publication, number of authors, research method, number of references, title of the authors and characteristics of the study group. Data were analyzed and provided with frequency and percentages and shown with tables and figures. Results are discussed with relevant literature and recommendations for further research and practices are provided.
The Logical Options Framework

Learning composable policies for environments with complex rules and tasks is a challenging problem. We introduce a hierarchical reinforcement learning framework called the Logical Options Framework (LOF) that learns policies that are satisfying, optimal, and composable. LOF efficiently learns policies that satisfy tasks by representing the task as an automaton and integrating it into learning and planning. We provide and prove conditions under which LOF will learn satisfying, optimal policies. And lastly, we show how LOF's learned policies can be composed to satisfy unseen tasks with only 10-50 retraining steps. We evaluate LOF on four tasks in discrete and continuous domains.
Instruments of Positive Transcultural Psychotherapy as a Model for Systemic Constellations

The article is dedicated to methodological features of constellations in the positive psychotherapy method. Models of Positive Transcultural Psychotherapy determine the structure of personal differentiation, which could be used in constellations. According to the three levels of work in positive psychotherapy (situational, notional and basic), we could discuss constellations on the three different levels. This article represents a generalization of practical experience of using the constellations on the three levels of work in positive psychotherapy in group and individual psychotherapy as well.
LibGuides: Audio Visual Support: Webcams and Cameras

See what the Innovation Commons has available to borrow to support digital learning and teaching.
PalMod-II Data Management Plan: A FAIR-inspired conceptual framework for data simulation, inter-comparison, sharing and publication&amp;#160;&amp;#160;

&amp;lt;p&amp;gt;Large scale transient climate simulations and their intercomparison with paleo data within the German initiative PalMod (www.palmod.de, currently in phase II) provides an exclusive example of applying a Data Management Plan (DMP) to conceptualise&amp;amp;#160; data workflows within and outside a large multidisciplinary project. PalMod-II data products include output of three state-of-the-art climate models with various coupling complexities and spatial resolutions&amp;amp;#160; simulating the climate of the past 130,000 years. Additional to the long time series of model data, a comprehensive compilation of paleo-observation data (including a model-observation-comparison toolbox, Baudouin et al, 2021 EGU-CL1.2) is envisaged for validation.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Owing to the enormous amount of data coming from models and observations, produced and handled by different groups of scientists spread across various institutions, a dedicated DMP as a living document provides a data-workflow framework for exchange and sharing of data within and outside the PalMod community. The DMP covers the data life cycle within the project starting from its generation (data formats and standards), analysis (intercomparison with models and observations), publication (usage, licences), dissemination (standardised, via ESGF) and finally archiving after the project lifetime. As an active and continually updated document, the DMP ensures the ownership and responsibilities of data subsets of various working groups along with their data sharing/reuse regulations within the working groups in order to ensure a sustained progress towards the project goals.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This contribution discusses the current status and challenges of the DMP for PalMod-II which covers the details of data produced within various working groups, project-wide workflow strategy for sharing and exchange of data, as well as a definition of a PalMod-II variable list for ESGF standard publication. The FAIR (Findability, Accessibility, Interoperability, and Reusability) data principles play a central role and are proposed for the entire life cycle of PalMod-II data products (model and proxy paleo data) for sharing/reuse during and after the project lifetime.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;
ENGLISH COURSE SEBAGAI MEDIA PENINGKATAN SUMBER DAYA MANUSIA WARGA BR. BABAKAN CANGGU

This community service activity aimed to improve the quality of human resourceswhich was carried out by means of English language training. This English training waspackaged in the form of an English Course / basic English training. This program wasinitiated thanks to the collaboration between the educators themselves and the Br BabakanCanggu community, and the Canggu language consultant to prepare human resources whoare ready to compete in the world of work in the current 4.0 era. This English course /training was held for 4 months at Br. Babakan Canggu North Kuta, Badung. The persuasivemethod is a method used in the learning process. The training provided to the participantsincluded basic level English language training and Indonesian language training for foreignspeakers. All English language training participants were very enthusiastic in participatingin the English training process which was held in collaboration with the language andcommunity consultancy agency Br Babakan Canggu, North Kuta, Badung. The process ofEnglish training provided to Babakan, Canggu residents is based on sincere sincerity.
New Aesthetics for a Data-Saturated World (The role of SciArt in our Society)

Joint Research Centre (JRC) is the in-house science service of the European Commission and supports policy makers with robust science. With the realisation that in a fast developing globalized world processes are becoming increasingly complex and require innovative, transdisciplinary thinking, the JRC has recently launched its SciArt - Science and Art Programme. As part of the SciArt process, we invite artists to join up with our scientists to discuss, reflect, innovate, and put our research into context, so that we can provide our policy makers with the facts as well as an encompassing analysis – looked at from different angles and perspectives. JRC is inviting participants to the Preparatory Workshop for the next Resonances III on the topic of Big Data. The workshop is held on 20October in the Leonardo da Vinci Science and Technology Museum in Milan to allow the participants to visit the Resonances II and to brainstorm with us on the angle for the next Resonances cycle on Big Data.With a few presentations to set the scene and mostly interactive breakout groups we want to discuss with artists, scientists and experts the three W· What is Big what are its known and unexpected sources?· Where and how is Big Data transforming our society, our lives and even our very self to the better and the worse?· Who are we going to be in the future when Big Data has enabled scientists, engineers, doctors, experts to transform our societies, our work, our economies, our bodies, our agriculture, our security, our thinking? By helping us finding the angle under which the JRC, as DG of the European Commission, should address the topic of Big Data,
THE INFLUENCE OF PEER REVIEW TECHNIQUE TOWARDS STUDENTS WRITING ABILITY AT THE ELEVENTH CLASS OF SMA NEGERI 14 BANDAR LAMPUNG IN 2018/2019

The aim of the research are to know the influence of Peer Review Technique towards students writing ability and to know whether or not the average score of students’ writing ability which is taught by using Peer Review technique is higher than   which is taught through direct instruction. In conducting This research, the writer used quasi experimental method. The population in this research was the students of eleventh grade at SMA N 14 Bandar Lampung,  294 students in 10 classes. The sample of this research was two classes, One class was XI MIPA 6 as experimental there were 30 students, and another class was  XI MIPA 1 as the  control class there were 29 students. In determining the sample, the writer used cluster random sampling technique. In collecting the data, the writer used writing test where the students were asked to make a composition text which consist 150 words based on the topic given. In analyzing the data the writer used ttest formula. Based on the data analysis, the students who were taught by using  Peer Review Technique get higher score than those who were taught by using direct interaction. It can be seen from calculating of the result of the hypothesis testing and average score of the experimental class that was higher than the control class. The average score of experimental class is 74.96 and the average score of control class is 62.96. it also can be seen at the significant level 0.01 and 0.05 the ttest is higher than ttable(ttest  > ttable ), that is 4.56> 1.67, for significant level 0.01 and 4.56> 2.39 for significant level 0.05. Therefore, Peer Review Technique is effective technique which can be used by the teacher  to improve students' writing ability.
LibGuides: Spring 2021 Hybrid Access to Library Services & Resources: Quick Help

Whether you're here on campus or studying remotely, you still have access to library resources and services!
Implemention of Speech Recognition on PYNQ Platform

With the development of voice technology, human–computer interaction is widely used in the society. The audio processing in the front end of the Internet of Things needs a faster speed and lower power consumption. In this paper, on the PYNQ development board with more powerful embedded system, the combination of CNN network and FPGA is used to realize the rapid conversion of speech into text.
Understanding the Impact of Adopting Intellectual Capital Components on Achieving the Competitive Advantage (Case of Jordanian Insurance Companies)

In this paper we examine the level and determinants of competitive advantage in Jordanian insurance companies because of its importance in giving a unique position to companies in the market to be superior to its competitors.However, this study concludes that the relationship between intellectual capitals measured by "Structural Capital" has a significant positive influence on competitive advantage.While the other variables "Human capital and structural capital" have no statistical significant impact on competitive advantage.Despite the importance of this study, it holds some limitations.First, the current research may show other relationships among variable at different points of testing.Second, this research was conducted in small country (Jordan) that is considered to be a developing country.The results may not generalize to other developed countries.Third, despite the fact that the current study has sufficient sample size, the appropriate sampling of the research impedes the generalization of findings.
Impact of Modular Distance learning to the Reading Development of Beginning Readers

Countries were lockdown due to COVID-19 Pandemic. Due to this Schools around the country were closed to prevent the possibilities of getting the virus. With this situation, the Department of Education decided to develop learning Modalities. One of it is the Modular Distance Learning where Self Learning Modules were utilized as medium for teaching-learning process. It is a challenge for both teachers and learners specially in terms of reading development. This study investigated the impact of Modular distance learning to the reading development of Beginning Readers of Torrijos Central School. The study found out that Modular Distance Learning affect the reading development of Beginning Readers. One factor is that; some parents were not trained to teach reading professionally. Some households have limited reading resources to be used in reading. It was also found that reading implementation at home during Modular Distance Learning is low that is why the reading development also decreased. Based from the result of the study the researcher recommended to develop home reading habit among beginning readers. Teachers should use different reading techniques in teaching beginning readers.
PENGARUH INDEPENDENSI, SKEPTISME PROFESIONAL, PENGALAMAN AUDIT, KUALITAS AUDIT, AUDIT TENURE, DAN PROSEDUR AUDIT TERHADAP TANGGUNG JAWAB AUDITOR DALAM MENDETEKSI KECURANGAN PADA LAPORAN KEUANGAN (Studi Empiris pada Auditor Kantor Akuntan Publik di Kota Semarang)

The auditor's responsibility in detecting fraud in the financial statements is an important matter.This study aims to obtain empirical evidence and analyze the factors that influence the responsibility of auditors in detecting fraud in financial reports, namely independence, professional skepticism, audit experience, audit quality, audit tenure and audit procedures. This research was conducted by means of a questionnaire method, which is distributing a list of questions (questionnaire) which will be filled in by external auditor respondents at the Public Accounting Firm in the Semarang area which are listed in the Directory of the Indonesian Public Accountants Association in 2019. The method used for sampling is purposive sampling and the samples obtained were 61 samples spread across 13 KAPs in the Semarang. The analysis method used is multiple linear regression with SPPSS software. The results showed of this study  that independence has a significant negative effect on the responsibility of auditors in detecting fraud in financial statements. Professional skepticism, audit experience, audit tenure have a significant positive effect on the auditor's responsibility in detecting fraud in the audit quality report and audit procedures have a positive and insignificant effect on the auditor's responsibility in detecting fraud in the financial statements.