Reviewerly/exHarmony huggingface dataset:
UNDERSTANDING DYNAMICS OF SOCIAL RELATIONSHIPS AMONG COLLEGE STUDENTS: A SOCIOMETRIC APPROACH

Social relations of students are active and effective relating to social factors. This study explores what factors determine dynamics of student relationships. This study focused on quantitative and qualitative approaches, especially sociometry as the main method of analysis, which emphasis observation, interview, and questionnaire. The study performed in the College of Art – University of Slemani with 37 students who were at their second, third and fourth years in the Department of Drawing. A sociomatrix and sociometric indexes were used to analyze the data, and the results showed that effect of students on each other in class, social interactions, and strength of social relations significantly affected the dynamics of relationship. Students have effects power for others within class. For social interaction, relationships are active in which students mostly interact with each other. For strength of students, there are positive, reaction and social adjustment in students’ relationships. Therefore, results concluded that relationship of students has dynamics. The implication of this study is that dean and academic staff of Art college should try to keep and continue dynamic of students’ relationship through opening art gallery participating all students, organizing art activities, supporting students to do teamwork.
Implementation of The Apriori Algorithm for Spare Parts Data Sales

Pakubumi piling spare parts are very much needed when there is a lot of infrastructure development in the capital city and in small cities. Spare parts that are used at the time of construction and for stocks carried out by project workers that will be prepared by suppliers as well as in CV. Abadi Perkasa. With a lot of available sales data, an algorithm is needed to manage the sales data. Data processing sales data mining with a priori algorithm technique can look for the highest frequency pattern where the highest frequency value is above a certain threshold which is called minimum support. After getting the highest support value, then the confidence value is sought to determine the association rules for one product with another. Looking for a minimum of support and confidence can also be found with the help of rapidminer tools. From this research, it can be seen that the a priori algorithm can find out which products are often purchased as well as determine the patterns of relationships between products and help to develop future marketing strategies.
USING VR AND AR TO MANAGE BUSINESSES IN THE MEDICAL FIELD

Health care is an industry in which the stakes are not raised — it is human life itself. The effectiveness of the healthcare system depends largely on the use of the most advanced solutions. Virtual reality (VR), augmented reality (AR), and mixed reality (MR) offer real-world solutions to many health system problems and offer a variety of implementation options in various fields, such as medical education and training, surgical modeling, neurological rehabilitation, psychotherapy, and telemedicine. It is well known that health systems in every country face many challenges. These problems arise in several directions, and they are particularly noticeable on the ground, since the situation seems to be in a state of constant demand, far exceeding supply, and the lack of qualified staff in many local institutions. The reality of the situation is that many local hospitals often struggle to cope with an intensive work process, not to mention emergencies. All these problems can be alleviated by implementing VR / AR / MR technologies. The results of relevant studies have shown that VR, AR and MR reduce the inconvenience of traditional medical care, reduce medical malpractice caused by unskilled labor, and reduce the cost of medical education and training.
Solano Community College Library: SCC's Digital Library: Citation Info

A starting point for using the library and beginning your research. MLA, APA, generators, and more
Statistical Analysis for the Evaluation of the Loss of Performance in a Touring Competition Car

This thesis analyses the factor affecting the loss of performance of a Touring Race Car. The work consists of the identification and validation of a procedure for the characterization of driving styles and circuits. The procedure identified uses some statistical instrument for the identification of outliers and comparison of different samples. This procedure can select the data, aggregate them, and consequently compare the different drivers and circuits. The data used for this research come from the database of the Six Engineers Team. More specifically it is analyzed the 2019 racing season working on telemetry data of the cars assisted by the team: two Seat Leon Cup Racer. The results confirm what was experienced by the engineers of the team during the races. The occurrence of the problem seems to be directly related to the specific braking behavior of the driver and the circuit.
Privacy-guardian : the vital need in machine learning with big data

Social Network Sites (SNS) such as Facebook and Twitter, play a great role in our lives. On one hand, they help to connect people who would not otherwise be connected. Many recent breakthroughs in ...
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.

While optical cameras are ubiquitous in robotics, some robots can sense the world in several sections of the electromagnetic spectrum simultaneously, which can extend their capabilities in fundamental ways. For instance, many fixed-wing UAVs carry both optical and thermal imaging cameras, potentially allowing them to detect temperature difference-induced atmospheric updrafts, map their locations, and adjust their flight path accordingly to increase their time aloft. A key step for unlocking the potential offered by multi-spectral data is generating consistent, multi-spectral maps of the environment. In this work, we introduce MultiPoint, a novel data-driven method for generating interest points and associated descriptors for registering optical and thermal image pairs without knowledge of the relative camera viewpoints. Existing pixel-based alignment methods are accurate but too slow to work in near-real time, while feature-based methods such as SuperPoint are fast but produce poor-quality cross-spectral matches due to interest point instability in thermal images. MultiPoint capitalizes on the strengths of both approaches. An offline mutual information-based procedure is used to align cross-spectral image pairs from a training set, which are then processed by our generalized multi-spectral homographic adaptation stage to generate highly repeatable interest points that are invariant across viewpoint changes in both spectra. These are used to train a MultiPoint deep neural network by exposing this model to both same-spectrum and cross-spectral image pairs. This model is then deployed for fast and accurate online interest point detection. We show that MultiPoint outperforms existing techniques for feature-based image alignment using a dataset of real-world thermal-optical imagery captured by a UAV during flights in different conditions and release this dataset, the first of its kind.
THE INFLUENCE OF SERVICE QUALITY ON CUSTOMERS' RETENTION AND LOYALTY IN THE UAE HOTEL SECTOR WITH RESPECT TO THE IMPACT OF CUSTOMER’ SATISFACTION, TRUST, AND COMMITMENT: A QUALITATIVE STUDY

The coronavirus (Covid-19) epidemic is changing the business activities, systems, and operationsaround the world these days. Such a crisis makes all business institutions in a large number ofbusiness sectors shrink, suspend or close their business operations. One of the main problems thatsuch institutions face is losing their customers and accordingly releases a large number of theiremployees. Accordingly, customer retention becomes one of the main business concepts that needto be studied again especially in the hotel sector. The research aims to explore the main factorsthat affect positively customer retention and loyalty in the hospitality industry, in particular, thehotels' sector in the UAE.This study extends the literature by giving more light at the effects of service quality, customersatisfaction, trust, and commitment particularly in the hotels' sector in UAE that lead toempowering customer retention and loyalty of these hotels. A qualitative method is conducted to 542this exploration and interviews were handled among hotel customers in the UAE to collect primarydata. The data are analyzed through various steps involving the coding process and the categorizingprocess. The findings of this study ensure the significant effect of service quality on satisfaction,trust, and commitment, which influence effectively in return the retention and loyalty of customers.
How to Understand The Primary Purchase Aspects of Computer Parts Online

Modern computer-savvy human beings survive in a point in time where constructing PCs on your own is chosen as the safest and neatest alternative time
The Use Of New Types Of Waterproofing Pipes

This article describes the new types of pipes under the hoist, which are used in railways. Half of the most common artificial structures on the railway are water-conducting pipes.
CHALLENGES IN BUILDING UP LEARNER AUTONOMY IN RUSSIAN UNIVERSITIES

The subject of the research is building up learner autonomy in vocationally-oriented language learning (VOLL) in Russian institutes of higher learning (IHL). In order to achieve this target, the authors made use of LMS MOODLE and worked out the stages that facilitate the process of learner autonomy formation. These include: the stage of self-diagnostics, cognitive and creative stage and that of evaluation and assessment. Throughout the course the students learn to set goals, make priorities and independent decisions. They become more motivated and focused on the individualization of the learning process, get particularly interested in their future profession and life-long learning, master the learning material much better and faster, get accustomed to acquiring innovative techniques and methods, developing different groups of skills which contribute to success in becoming mature and autonomous learners. The article analyzes the pedagogic conditions to be provided to help students get used to the new learning standards and environments. The authors believe that such pedagogic conditions as students’ high value of autonomous learning, students’ training to work independently in LMS MOODLE, teachers’ ability and motivation to implement MOODLE will help facilitate language learning and take full advantage of the LMS. Special emphasis in the article is placed on the notion of learner autonomy and the necessary groups of skills to develop learner autonomy. On the basis of the research which has been carried out for a number of years, the authors prove the fact that after completing the three above mentioned stages of the course, the IHL students tend to become more autonomous and independent learners who are better prepared and equipped to apply their new vision of the learning process to multiple areas of life.
STUDENTS’ PERCEPTION ON SHORT ENGLISH VIDEO IN LEARNING VOCABULARY AT SMA PGRI 1 BANJARMASIN

This research was conducted at SMA PGRI 1 Banjarmasin. The research was undertaken as a descriptive quantitative research. In collecting the data, the researcher used an online questionnaire that was distributed by Google Form. As a sample, the researcher took the second year of students which consists of 31 students. The aim of this research was to find out about students’ perception on short English video in learning vocabulary. The findings of the test result analysis indicated that most students have positive opinion about learning vocabulary through short English video which can be seen from the result of questionnaire analysis. They agreed that short English video can improve their vocabulary mastery and that using a short English video is an interesting technique and helpful in learning vocabulary.
Lightweight Text Classifier using Sinusoidal Positional Encoding

Large and complex models have recently been developed that require many parameters and much time to solve various problems in natural language processing. This paper explores an efficient way to avoid models being too complicated and ensure nearly equal performance to models showing the state-of-the-art. We propose a single convolutional neural network (CNN) using the sinusoidal positional encoding (SPE) in text classification. The SPE provides useful position information of a word and can construct a more efficient model architecture than before in a CNN-based approach. Our model can significantly reduce the parameter size (at least 67%) and training time (up to 85%) while maintaining similar performance to the CNN-based approach on multiple benchmark datasets.
An Intelligent Method for Indian Counterfeit Paper Currency Detection

The production of counterfeit paper currencies has become cheaper because of the advancement in the printing technologies. The circulation of counterfeit currencies down the economy of a country. By leveraging this, there is a mandate to develop an intelligent technique for the detection and classification of counterfeit currencies. The intelligent techniques play a major role in the field of Human Computer Interaction (HCI) too. This paper deals with the detection of counterfeit Indian currencies. The proposed method feature extraction is based on the characteristics of Indian paper currencies. The first order and second order statistical features are extracted initially from the input. The effective feature vectors are given to the SVM classifier unit for classification. The proposed method produced classification accuracy of 95.8%. The experimental results are compared with state-of-the methods and produced reliable results.
Expert System For Autism Prediction in Children With Web-Based Forward Chaining Method: Expert System For Autism Prediction in Children With Web-Based Forward Chaining Method

Autism is one of the categories of children with special needs, namely brain nerve development disorders that affect the ability to communicate and interact socially. Autism is divided into 5 types: Autistic Disorder, Asperger's Disorder, Perspective Developmental Disorder-Not Otherwise Specified (PDD-NOS), Rett's Disorder, Childhood Disintegrative Disorder (CDD). This research was conducted to predict the type of autism that occurs in children using a web-based expert system with the method of forward chaining, using data collected through various sources about autism. The data will be implemented into the system, so the system can provide information about the types of autism that exist, as well as the symptoms experienced by each type of autism. This system will also be able to diagnose patients by giving a number of questions to the symptoms that occur then providing appropriate treatment solutions through various therapies.
LibGuides: APA 7th Edition Referencing Guide1: Creating PowerPoints

A Wintec Library guide to referencing in APA 7th edition style How to reference images in PowerPoints
NLP Based TextRank Algorithm for Automatic Text Summarization: An Unsupervised Approach

A time-consuming process in which people seek primarily relevant information on the Internet, is themethod used for obtaining and processing knowledge from various sources. The primary objective of theprogram is to eliminate information from the website and to provide information from information collectedfrom other websites that enables users to choose the website that they need. The analysis of data, removal ofoutliers and information on the database initiates a sequence of steps, highlights the significance of relevant datacollected from the site and offers a summary of collected information. Natural language analysis shall beemployed to extract the useful information from the acquired data. In this paper, Natural language processing(NLP) based TextRank algorithm for automatic text summarization which is an unsupervised approach has beenproposed and analysed properly. This proposed approach has been compared with Artificial bee colonyalgorithm and Cuckoo search algorithm, thereby the proposed methodology shows better outcomes whencompared to conventional methods. This proposed approach will minimize the browsing time required and willallow users to sum up the links, documents or keywords on a particular website or document.
LibGuides: Valencia College West Library Instagram : 2020 Book Recommendations

All the important information, resources, and services we featured on our Instagram page. Recommendations by our Valencia College Librarians
Theoretical simulations of dynamical systems for advanced reservoir computing applications

There are computational problems that are simply too complex and cannot be handled by traditional CMOS technologies due to practical engineering limitations related to either fundamental physical behavior of devices at small scales, or various energy consumption issues. The field of unconventional computation has emerged as a response to these challenges. Up to date unconventional computation encompasses a plethora of computing frameworks, such as neuromorphic computing, molecular computing, reaction-diffusion computing, or quantum computing, and is ever increasing in its scope. This thesis is biased towards developing sensing applications in the unconventional computing context. This initiative is further extended towards developing novel machine learning applications. The possibility of building intelligent dynamical systems that collect information and analyze it in real-time has been investigated theoretically. The basic idea is to expose a dynamical system to the environment one wishes to analyze over time. The system operates as an environment sensitive reservoir computer. Since the state of the reservoir depends on the environment, the information about the environment one wishes to retrieve gets encoded in the state of the system. The key idea exploited in the thesis is that if the state of the reservoir is highly correlated with the state of the environment  then the information about the environment can be inferred with a modest engineering overhead. A typical dynamical system is assumed to be a network of environment sensitive elements. Each element can be something simple, but taken together, the elements acquire collective intelligence that can be harvested. These ideas have been examined theoretically (and verified experimentally) by simulating various networks of environment-sensitive elements: the memristor, the capacitor, the constant phase element and the organic field effect transistor element. The simulations were done in the context of ion sensing, which is an extremely complex, many-body, and multi-scale modeling problem.
Definition Frames: Using Definitions for Hybrid Concept Representations

Advances in word representations have shown tremendous improvements in downstream NLP tasks, but lack semantic interpretability. In this paper, we introduce Definition Frames (DF), a matrix distributed representation extracted from definitions, where each dimension is semantically interpretable. DF dimensions correspond to the Qualia structure relations: a set of relations that uniquely define a term. Our results show that DFs have competitive performance with other distributional semantic approaches on word similarity tasks.
SECURING DATA AND IMAGE USING MOSAIC AND LEAST SIGNIFICANT BIT TECHNIQUE

Securing data and media is considered as significant on the grounds that individuals use pictures as one of the mostsignificant medium to pass on the data, in the field of PC vision. Picture concealing methods are generally utilizedfor transmission of private pictures in different segments like military. Picture mosaic is the way towardapportioning a computerized picture into various fragments. The primary objective of mosaic is to change over theportrayal of a picture into increasingly important and simpler to examination. The proposed framework presents analternate methodology that utilizes picture mosaics for concealing reason. Various calculations of mosaicstrategies just as Stegonography procedures have been investigated. The mosaic methodology has been utilized forthe formation of the picture mosaic and the Least Significant Bit (LSB) procedure has been utilized for concealingthe content into picture. The development of the picture mosaic is finished by choosing a picture, parting it intolittler pictures simply like little tiles of sizes 8*8, 16*16 and 32*32. These tiles are then analyzed from a lot ofphotographs of similar sizes. Next, the client can conceal a confidential data into them. The last mosaic picturecontains confidential text and that is well concealed so that we can provide more security for sending data andimage.
MANAJEMEN PROGRAM PUSAT INFORMASI DAN KONSELING REMAJA (PIK-R) DI SMA NEGERI 1 PEKANBARU

The aim of this research is how management of program the information center and counseling youth at SMAN 1 Pekanbaru with subfokus are: (1) Achievement of vision and mission implementation of program the information center and counseling youth at SMAN 1 Pekanbaru (2) Planning of program the information center and counseling youth at SMAN 1 Pekanbaru (3) Organizing of program the information center and counseling youth at SMAN 1 Pekanbaru (4) Implementation of program the information center and counseling youth at SMAN 1 Pekanbaru (5) Supervision of program the information center and counseling youth at SMAN 1 Pekanbaru (6) The result of program the information center and counseling youth at SMAN 1 Pekanbaru. The approach of this research is qualitative gotten from respondents with data collection technique through documentation, observation, and in-depth interview. Further data analysis through data reduction, display data, conclusion and verification. The results showed that (1) Achievement of vision and mission implementation of program the information center and counseling youth at SMAN 1 Pekanbaru is categorized sufficient because it has fulfilled 3 aspects of 5 aspects from the objective standard (2) Planning of program the information center and counseling youth at SMAN 1 Pekanbaru is categorized good because it has fulfilled 4 aspects of the 5 aspects from the objective standard (3) The organization of program the information center and counseling youth at SMAN 1 Pekanbaru is categorized very well because it has fulfilled 5 aspects of 5 aspects from the objective standard (4) Implementation of program the information center and counseling youth at SMAN 1 Pekanbaru is categorized well because it has fulfilled 4 aspects of 5 aspects from the objective standard (5) Supervision of program the information center and counseling youth at SMAN 1 Pekanbaru is categorized sufficient because it has fulfilled 3 aspects from 5 aspects from the objective standard (6 ) The result of program the information center and counseling youth in SMAN 1 Pekanbaru is categorized less because it has fulfilled 2 aspects of 5 aspects from objective standard.