Reviewerly/exHarmony huggingface dataset:
Students’ satisfaction of Mara college management services, learning environment and the effect on learning motivation

Higher education institutions in Malaysia have been facing an overwhelming demand toprovide adequate facilities and resources to assist with students’ learning. The resourcesmentioned include ICT facilities, offices, libraries, as well as positive learning environments.Thus, this study aimed to investigate the level of students’ satisfaction with Majlis AmanahRakyat (MARA) college management services (student service and affairs, registrationservice, and resources/facilities) and its learning environments. The study also examined theeffects of those management services and the learning environments on students’ learningmotivations. A descriptive analysis was used to determine the level of students’ satisfaction,while a t-test was used to determine whether student gender influenced students’ satisfactionlevels. A total of 169 pre-university students were selected as the sample group, using aconvenient sampling method. From the SPSS results, the study found that the level ofsatisfaction on learning environments and the learning motivations of the participants werehigh. It also showed that, gender had no influence on the participants’ satisfaction levels.The Smart PLS is a statistical software used for Structural Equation Model (SEM) to knowthe effect of exogenous variable (independent) on endogenous variable (dependent). SEM-PLS identified that learning environmentsand student services had an effect on studentmotivation levels. Moreover, it predictedstudent satisfaction and motivation levels.Finally, a few recommendations were madefor better management service on how toincrease a learner’s motivation.
Household Goods Recognition Using Hierarchical Multi-object Segmentation

Nowadays, the algorithms most used for object recognition are based on a constructed database or on training and learning processes with many samples, allowing robots to effectively perform object recognition.If objects in a home environment do not appear in a database, a system cannot recognize and segment items from household goods.In this study, we proposed an algorithm to reduce the processing complexity of object recognition that combines a depth image, object segmentation, and model construction with the GrabCut algorithm, and uses a hierarchical design for the segmentation of items.This algorithm uses the depth image to find the approximate locations and sizes of multiple objects in a coarse layer, then it uses GrabCut as a fine segmentation technology to segment the edges of objects and construct the models.First, we use the inputs of binocular vision to generate an anaglyph image, which is used as the base to perceive the environment's 3D information.At the same time, the too distant background is filtered, then histogram segmentation of the analysis image is used to partition each object.Next, GrabCut is used to find a convergent partition on the masking image to generate complete object edges.Finally, the scale-invariant feature transform (SIFT) is used for the extraction and recognition of feature points, and the database is updated.
Openness and Agricultural Performance in Nigeria

The paper examined the effect of openness on agricultural output in Nigeria. Data for the study was sourced from CBN statistical bulletin 2019 and quarterly report 2020 covering the period 2010Q1 to 2020Q2. ADF unit root test, Johansen cointegration and Autoregressive Distributed Lag Methods were employed in the study. The unit root test results revealed that the variables are a mixture of I(1) and I(0) order of integration. Empirical result of the study shows that increase in trade openness will lead to a positive but insignificant increase in agricultural output while increase in financial openness will lead to a significant decrease in agricultural output in the country. The study concluded that trade openness affect agricultural output positively, while financial openness affect agricultural output negatively. The study therefore recommended that efforts should be put in place to ensure that trade openness is encouraged, also, government and relevant stakeholders in agricultural sector should make sure that foreign direct investment to agricultural sector are accountable and properly utilized in the sector.
New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques

The authentication of writers, handwritten autograph is widely realized throughout the world, the thorough check of the autograph is important before going to the outcome about the signer. The Arabic autograph has unique characteristics; it includes lines, and overlapping. It will be more difficult to realize higher achievement accuracy. This project attention the above difficulty by achieved selected best characteristics of Arabic autograph authentication, characterized by the number of attributes representing for each autograph. Where the objective is to differentiate if an obtain autograph is genuine, or a forgery. The planned method is based on Discrete Cosine Transform (DCT) to extract feature, then Spars Principal Component Analysis (SPCA) to selection significant attributes for Arabic autograph handwritten recognition to aid the authentication step. Finally, decision tree classifier was achieved for signature authentication. The suggested method DCT with SPCA achieves good outcomes for Arabic autograph dataset when we have verified on various techniques.
Research guides: MDSB62H3: Visual Culture and Communication : Evaluating Websites

This library guide will assist you in finding the resources that you need in order to complete the assignments for courses in MDSB62H3, including the annotated bibliography and the visual essay. A page explaining how to evaluate websites
Guides: Business Division Faculty LibGuide: Arts and A-V Technology and Communication Databases

Provides links to Western Library resources for students and faculty in the Business Division
LibGuides at Priddy Library: ECED 360: Early Literacy: How to cite BOOKS, eBOOKS, CHAPTERS

Emerging literacy process in children, birth to age five. Examination of strategies, materials, and experiences for literacy development
MultiTune: Dynamic budget allocation for hyperparameter tuning

Hyperparameter optimization(HPO) forms a critical aspect for machine learning applications to attain superior performance. BOHB (Bayesian Optimization and HyperBand) is a state of the art HPO algorithm that approaches HPO in a multi-armed bandit strategy, augmented with Bayesian optimization to drive configuration sampling. However, BOHB requires predefined distribution of fidelities for each tuning task. The challenge in this is that it is impossible to define fidelities a priori, since each machine learning model is uniquely complex and requires different amount of compute resources for convergence. Furthermore, in our empirical analysis, we found that each HPO task rendered different performance trajectories on different fidelity (budget) types. Thus, the challenge of defining fidelities also extends to choosing an optimal budget type. To alleviate these challenges, we present MultiTune: a budget allocation scheme that builds on top of BOHB to dynamically define fidelities for optimization. MultiTune incorporates an algorithm to dynamically choose a preferred budget type for an HPO task, coupled with 2D gradient based budget constraint explorations to enable granular definition of fidelities. Through our empirical analysis, we show that MultiTune can consistently converge to a well performing configuration without significant computation overhead.
LibGuides: LSC 595 Spring 2021 Merchant Professional Field Experience: Journal Entries Week 9 to 12

This guide contains record of my field experience at Concord Free Public Library in the Spring 2021 semester
Quantum State Tomography of Single Qubit Using Density Matrix

Abstract. The quantum state tomography is a fundamental part in the development of quantum technologies. It can be used to know the signal characterization of small particle called photon in the nanoscale. In this study, photon number has been measured in order to produce the states tomography. Optical devices and quantum-mechanical approaches were explored to obtain the quantum state tomography. Due to a single qubit state density matrix can be revealed by Stokes parameters, so there are four set-ups to measure the Stokes parameters for each sample. The density matrix is used because the pure state only appear theoreticaly. In the real experiment, It always exibits a mixed state. The samples of tomography measurements consist of linear state, cicular state and the IR 808nm. In this study, state tomography is shown by 2x2 density matrix. This experiment also provides the fidelities of experiment result. And it shows the good agreement. From this experiment, the state of IR 808nm has been detected. The laser that examined is showing a vertical state with fidelity F=97,34%.
ResearchGuides: Child Development: How to Search

Find resources in the field of Child Development Step-by-step guide to the research process and other How-To-Search topics
Beyond the gaming industry: Ubisoft’s new digital challenge

Ubisoft is a French jewel in the video industry crown, and has been recognised as a digital company for a long time by virtue of its technology, organisation and culture. It still takes on the latest innovations in order to spread its brands and fields of activity to other clients, and to extend its expertise well beyond video games, thereby demonstrating that change is not an aim but a means of inspiring development. Its expertise in virtual reality enables Ubisoft to invent extremely realistic and very accessible products, and to offer a new future to amusement arcades which had become ‘old hat’ with the advent of video games. Ubisoft has also launched into touring and live performances with its show ‘Just Dance Live’. It has created a unique virtual reality experience with driverless cars for Renault which can only be tested from inside the vehicle, thereby giving considerable scope in bringing together both the virtual and physical worlds, which is the new step forward in the digital world.
LibGuides: Business Management: Reference Sources

A guide to assist library users to easily find library resources related to Business management
LibGuides: CSUMB Makerspace: Resources

The Library Makerspace is a collaborative work environment on the third floor of the Tanimura & Antle Library, Room 3125. During Covid-19 conditions, the Makerspace is closed to visitors. Tutorials, Software and downloads, online library books, and other online resources.
Compositionality and Modularity for Robot Learning

Author(s): Devin, Coline | Advisor(s): Levine, Sergey; Darrell, Trevor | Abstract: Humans are remarkably proficient at decomposing and recombiningconcepts they have learned. In contrast, while deep learning-based methods have been shown to fit large datasets and out-perform humans at some tasks, they often fail when presented with conditions even just slightly outside of the distribution they were trained on. In particular, machine learning models fail at compositional generalization, where the model would need to predict how concepts fit together without having seen that exact combination during training. This thesis proposes several learning-based methods that take advantage of the compositional structure of tasks and shows how they perform better than black-box models when presented with novel compositions of previously seen subparts. The first type of method is to directly decompose neural network into separate modules that are trained jointly in varied combinations. The second type of method is to learn representations of tasks and objects that obey arithmetic properties such that tasks representations can be summed or subtracted to indicate their composition or decomposition. We show results in diverse domains including games, simulated environments, and real robots.
Do Google Trends Forecast Bitcoins? Stylized Facts and Statistical Evidence

In early 2018 prices peaked at USD 20,000 and, almost two years later, we still continue debating if cryptocurrencies can actually become a currency for the everyday life or not. From the economic point of view, and playing in the field of behavioral finance, this paper analyses the relation between prices and the search interest on Bitcoin since 2014. We questioned the forecasting ability of Google Trends for the behavior of price by performing linear and nonlinear dependency tests, and exploring performance of ARIMA and Neural Network models enhanced with this social sentiment indicator. Our analyses and models are founded upon a set of statistical properties common to financial returns that we establish for Bitcoin, Ethereum, Ripple and Litecoin.
Heavy Duty Vehicle Trap Using Mask Rcnn Algorithm

As we all experience, the traffic question is becoming larger occurring every day  fashionable  big  large town.  Distorted  urbanization,  the increase fashionable inhabitants of a place ,  and  the  increase  fashionable  the  number  of vehicles exist the three great   determinant using  traffic question  fashionable large town .  With  the  formation  of  corrupt  urbanization,  the  roads  happen  not  expansive  enough  and not uninterrupted enough to  provide traffic  flow fast. As a result, we  visualize  obstruct roads, big queues, and being mad person who engineers vehicle.  The  number of means of attaining end going to traffic happen becoming more intense  continually  and  the  existent  roads  are  defective  and  the  traffic  question  happen  growing.  To address this  question in  this place  we secondhand Mask R-CNN  for  vehicle  discovery. Mask R-CNN  exist  an  instance  separation  model  that  admit  us  to  label  smallest element of an image  reasonable  location for our class. “Instance  separation”  resources separate individual objects within  demonstration,  although  either  they  happen  of the same type —  i. e label individual vehicle driven on streets, human being, etc.  The  main  advantage of utilizing Mask R-CNN exist it make or become better  the  accuracy  of  concept  recognization of about 97 portion and it bear the extreme processing speed.
PEMANFAATAN INTERNET MENGGUNAKAN WEB BROWSER SEBAGAI PENDUKUNG MEDIA PEMBELAJARAN SISWA DI SMK KARYA PEMBANGUNAN DI SEKOLAH MENENGAH KEJURUAN KARYA PEMBANGUNGAN DI PASIR BARAT JAMBE, TANGERANG, BANTEN

Utilization of the Internet using a web browser, currently being media and learning resources thatunlimited. Advancement of science and information technology has expanded the media to acquireknowledge and learning of students and teachers easily. Media teaching in schools is not just rely on theteacher as the sole source of information. Similarly, textbooks and the surrounding environment. Internetbecomes a media of learning the most practical to complement all media and learning resources thatalready exist. In addition, through the internet provided a variety of information, learning resources, andbooks that some can be downloaded free of charge by students and teachers. It is very helpful learning inwhich the price of books had been more expensive. Current conditions, vocational students are notfamiliar in the use and utilization of the Internet in the learning process. Therefore, held training use ofthe Internet using a web browser at SMK, as a form of community service in college. The training givento students and teachers. The Internet application using a web browser application Internet Explorer andFirefox. The training discussed on the internet, web browser, benefits. how to setting, how to use theapplication as well as take advantage of search engine. The results achieved are expected students andteachers can utilize the internet using a web browser to obtain the information, science, knowledge andfree books to support the learning process in schools.
LibGuides: OpenAthens: Linking to Library Resources

This guide contains information about OpenAthens, the library's authentication system for online resources.
Library Guides: A Faculty Guide to Kanopy Streaming Video: Introduction

How faculty can find, request, and link to Kanopy streaming videos, and also check license expiration dates.
RETRACTED: Open teaching mode of environmental design major in colleges

With the acceleration of China's industrialized cities, economic construction and social development have caused considerable damage to the natural environment. Having a good living environment has become an urgent need of the Chinese people, who have already met their basic material needs. This paper mainly adopts the method of combining theoretical analysis with case study. From the perspective of theory and practice, this paper studies the following contents: the present situation of teaching development and reflection on the environmental design specialty in China, the characteristics of open teaching mode, combined with the setting of environmental design specialty curriculum system and the teaching conditions of related specialties in Chinese universities. This study takes the open teaching mode of ordinary colleges and universities as the research object, and takes a university in China as an example to study the open teaching mode.
LibGuides: Sol Plaatje University Library and Information Services General Guide: Referencing

Welcome to your SPU LIS general portal where you can find links to our electronic databases, other library resources and open resources.
Author Correction: Methods and open-source toolkit for analyzing and visualizing challenge results

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
EFL Teachers’ Perception and Implementation of the Speaking Tasks: The Case of Koma and Jaragedo Secondary and Preparatory Schools, South Gondar Zone, Ethiopia

The purpose of this study was to explore EFL teachers' perception and implementation of the speaking tasks in Koma and Jaragedo Secondary and Preparatory Schools.In order to answer the objectives of the study, descriptive survey research design was used.The data were gathered through questionnaire, interview and classroom observation.Comprehensive sampling was used to select teachers for questionnaire and random sampling technique was used to select teachers for interview.Besides, the four randomly selected EFL teachers' actual teaching-learning process of speaking lesson was observed and analyzed.The data collected through the above data gathering tools were analyzed using both qualitative and quantitative data analysis techniques.Data gathered through questionnaire were analyzed using quantitative method while data gathered through observation and interview were analyzed qualitatively.The findings reveal that teachers didn't have clear understanding about effective teaching methods of speaking tasks and they commonly used traditional techniques (especially question and answer, lecturing and dialogue repetition) to teach speaking tasks.Furthermore, the findings portrayed that the students' low interest to learn speaking, use of their mother tongue, lack of awareness on the importance of speaking tasks, afraid of making mistakes, focus on grammar, poor background and read texts instead of speaking orally were major challenges that teachers faced in teaching speaking skills.Teachers also have lack of awareness about current techniques of teaching speaking skills.Based on the findings of the study it was recommended that teachers should encourage and make the students practice speaking skill both in and outside of the classroom instead of rushing to cover the text book.
Predicting House Prices on the Countryside using Boosted Decision Trees

This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate h ...
EMCC Libraries: So You Checked Out A WebCam, Now What?: Zoom Help: Students

Basic information on East Mississippi Community College Library's webcam policies and how to use them.
LibGuides: Community Users Guide: Borrowing/Requesting Materials

A Library Guide for FVCC Community Users How do I request and borrow materials at FVCC? Can I use TRAILS resource sharing and Interlibrary Loan?
OPTIMASI PRODUKSI KERIPIK PANGSIT MENGGUNAKAN LOGIKA FUZZY METODE MAMDANI

Optimal profit can be obtained from maximum sales by using minimal costs. Besides being able to meet existing demands, the use of costs is also a major factor in determining optimal results. Therefore, it is necessary to plan the number of products in a company in order to meet market demand. Factors that need to be considered are demand and supply of goods. The inventory factor of a production item is difficult to monitor when using manual calculations. For that we need a method to predict the availability of manufactured goods effectively. The method used is the calculation of fuzzy logic. This study uses the Mamdani fuzzy logic technique method. The result of this research is a calculation of the production of kripang (dumpling chips) based on calculations based on Mamdani fuzzy logic. The calculation that is built can help the company determine the amount of production in accordance with consumer demand so that the demand for kripang in Sidabowa Village is fulfilled and the amount produced by the producer is more optimal. Keywords : Fuzzy Logic, Mamdani, Optimization
IMPLEMENTATION OF THE EQUIVALENT CIRCUIT METHOD IN INSTRUMENTAL DIGITAL DIDACTICS

Instrumental digital didactics is based on the use of various digital means of obtaining, processing, and interpreting empirical data in accordance with the logic of scientific method and engineering design. Appropriate teaching techniques reflect the STEM approach to teaching natural science and engineering subjects. The use of the equivalent circuit created on the NI Multisim platform to investigate the characteristics of electric circuits’ components creates favorable didactic conditions. The methodological approaches proposed by the authors are demonstrated by the examples of determining the parameters of technologically advanced devices - photoelectric converter (for example, determining its maximum power point, as well as Fill Factor) and supercapacitor (for example, designating changes in charging and discharging characteristics depending on the type of construction). In such educational projects the parameters of the circuit components obtained by the equivalent circuit method are compared with the specifications of commercial devices available on the market. This approach, on the one hand, demonstrates statistical errors of results to the students, and on the other hand, it is a source of sufficient data for constructing an equivalent circuit of devices without prior experimental research. It is shown that the use of equivalent circuits in a computer simulation environment to replace real electronic and electrical devices, measuring systems and equipment with their virtual counterparts expands the didactic possibilities. Techniques based on the versatile use of digital didactic tools are being actively developed and implemented in the MANLab STEM-laboratory of the National Centre “Junior Academy of Sciences of Ukraine”.