Reviewerly/exHarmony huggingface dataset:
Impact of Social Media on Students Cyberbullying Perspective

Social media is one of the modern-day technologies as it has completely changed the life of a common man. Social media has brought a revolution in society, but it has developed some negative impacts and crime in society. Cyberbullying is one of the threatening crime in modern-day technology. It has the worst impact on our society. The government has made some serious regulation regarding Cyberbullying, but society needs to understand that what exactly Cyberbullying means, how it affects the mental health of the students and what is the main reason behind Cyberbullying in our society. The research study will try to figure out that in what way the university students get targeted by Cyberbullying, what are the negative impacts on the mental health of the students. The research study will find out that how students get targeted on social media. The research study will also show how Cyberbullying has a negative impact on the aim of university students.
LibGuides: Audio Visual Support: Audio Visual

See what the Innovation Commons has available to borrow to support digital learning and teaching.
Service Metadata Refactoring- Status Update

Presentation giving a status update on the refactoring of the Unified Metadata Model for Services, including changes to UMM-S and the creation of a UMM-Tools.
South Korean Cyber Security Threats, Governance Measures, and Implications for SMEs

This paper provides an assessment of current cyber security threats in South Korea and its national cyber security governance measures. Particularly, through a detailed examination of relevant literature, we critically evaluate the extent to which its national governance is structured to protect its SMEs. We discover and discuss the key cyber security threats in South Korea, including cyberterrorism, cyber financial and trade fraud. We critically assess existing mitigation measures to reduce these threats, including key government agendas, reporting mechanisms, and other initiatives. We reveal that the governance is still operating under a post-crime orientation of punishment rather than the pre-crime logic of prevention. It features an absence of i) a national cyber security framework; ii) an issue-based approach for governance initiatives; and iii) localised reporting mechanisms. As a result, it needs to increase attention to the cyber security risks faced by SMEs and to embrace a proactive response system.
Research Guides: Student Curated Digital Exhibits: Getting Started

This guide includes information for students curating digital exhibits using Special Collections materials
Research Guides: Learning Tools - English: Overview

The purpose of this learning tool is to help students learn to study for English class. The focus is on learning how to study efficiently using the study cycle and improving reading & note-taking strategies.
DI Library: Business Practices (ID 365): Welcome

DI Library's recommended resources for Business Practices students DI Library's introduction to its Business Practices guide
LibGuides: Diverse Reads: The Why, How, and Where: Programming

A resource for youth services librarians and teachers on diverse read selections and programming.
Actual problems of teaching and supporting students with disabilities in the context of digitalization of preschool general and higher education

The article discusses the current problems of teaching students with disabilities in the framework of digitalization of education and using distance learning methods, and also provides possible solutions to existing problems at various stages of studying.
Innovation-driven growth in the regions of the Russian federation and the activities of national research universities: analysis of relationship

The university funding programs focused on regional economic development and “smart specialization” goals are focused on “discovering entrepreneurial potential”, which employs the instrument of a structured dialogue among four key actors in the innovation process: public authorities, business structures, research organizations, and representatives of the civil society. The authors analyze the relationship between the results of the activities of national research universities (NRUs) in Russia and the dynamics of innovation-driven growth of the regions in which they are located, based on their methods. The purpose of the study is to search for new tools for interaction between universities and actors of regional innovation-driven growth.
Training of Mathematical Disciplines Teachers for Higher Educational Institutions as a Contemporary Problem

The article describes the problem of preparing a modern teacher of mathematical disciplines for a higher technical educational institution in the system of higher pedagogical and classical education. The modern scientific research focusing on training a highly-qualified mathematics teacher has been analyzed. The results of the questionnaire for mathematics teachers at higher technical education institutions and students studying in 014 ‘Secondary Education (Mathematics)' specialties are presented. The current state of preparedness of master's degree holders to teach mathematicians at higher technical educational institutions is evaluated. One of the ways to solve the problem is to develop the ‘For Higher School Mathematics Teacher' educational platform. The concept of developing this online environment and filling its components with content has been highlighted. The rationale for creating a community of practitioners consisting of teachers of higher technical and pedagogical educational institutions, the cooperation of which should contribute to solving the problem, is provided. The possibilities of using the platform for further training of both young and experienced teachers are considered.
Secure Storage and Access Scheme for E-Medical Records Using Block Chain Environment

Blockchain has been a fascinating exploration region for quite a while and the advantages it gives have been utilized by various different ventures. Additionally, the medical services area stands to profit tremendously from blockchain innovation because of safety, security, and decentralization. In any case, the Electronic Health Record (EHR) frameworks deal with issues in regards to information security, uprightness, and the executives. In the proposed work, to communicate approximately how the blockchain innovation can be applied to alternate the EHR frameworks and solution of those issues. To propose a system that can be applied for the execution of blockchain innovation in scientific offerings location for EHR. The factor of our proposed system is first and to execute blockchain innovation for EHR and moreover to provide the stable ability of digital information with the aid of using characterizing granular get right of entry to regulations for the customers. Besides, this system examines the flexibility problem seemed with the aid of using the blockchain innovation average through the usage of off-chain stockpiling of the information. This structure offers the benefits of getting an adaptable, stable, and vital blockchain-primarily based totally association with usage of PoW (Proof of Work) Algorithm.
A Case Study of Students’ Difficulties in Learning Conditional Sentence at the Eleventh Grade Students’ of SMA N 4 Purworejo in the Academic Year of 2016/2017

Conditional sentence becomes one of materials in grammar that is complex and difficult to be used by the students especially in senior high school. Identifying the difficulties of conditional sentence is essential to know how well the students master the materials. The objectives of this research are to describe the most difficult types of conditional sentence used by the students and to identify why the students get difficulties in learningconditional sentence. This research uses descriptive qualitative research. The subject of this research is the eleventh grade students (Class XI Bahasa) of SMA N 4 Purworejo. From the findings that the researcher has done, conditional sentence type 3 became the most difficult one. Based on the test, for each type of conditional sentence, type 3 is the highest with the total number of wrong answer are 116 (47.5%), then type 2 with thetotal number of wrong answer are 84 (34.4%), while type 1 is the lowest with the total number of wrong answer are 44 (18.1%). Added by the result of questionnaire as supporting instruments, the most difficult type of conditional sentence is conditional sentence type 3. The result shows that three students strongly agree and twenty  students agree that conditional sentence type 3 is difficult. Then, one student strongly agrees and fourteen students agree that conditional sentence type 2 is difficult. While, just nine students agree that conditional type 1 is difficult. Morever, from the result of the interview and questionnaire, the researcher identifies the students’ difficulties in learning conditional sentence, they are the highest graduation is students are lack of vocabulary (66.67%), the second is having to eagerness to master the material (62.34%), the third is having negative attitude toward teaching and learning process (56.79%), the fourth is environment impact to learn English (55.55%), the fifth is not paying attention to the material (50.93%), the sixth is having negative attitude towards English and grammar (54.32%), and the last is the condition of the facilities is not good (22.22%).
KEMAMPUAN MENYUSUN KOMENTAR TERHADAP CERITA RAKYAT PADA SISWA KELAS VII SMP NEGERI 1 CUKUH BALAK TANGGAMUS TAHUN PELAJARAN 2018/2019

The problems in this thesis relate to students' ability to compile comments on legendary folklore. The folklore analyzed is folklore entitled 'Lake Ngebel'. The purpose of the study was to find out and describe the ability to compile the intended comment by looking at aspects of the study including relevant content, systematic organization, and the use of good and correct language. The research method uses descriptive quantitative. The study population was only 20 students. Data collection techniques with the ability to compile comments on stories will use basic techniques and complementary techniques. Based on the analysis, the results of the study show that the ability to comment on the folklore of class VII students of SMP Negeri 1 Cukuh Balak Tanggamus Academic Year 2018/2019 shows that it is fully successful because the average score achieved is 70 in sufficient capacity.Factors that cause students to get a score of 70 because they still lack the ability of students to write comments using good and correct language.
LibGuides: Digital Reference Services: Virtual Book Groups

Online research, learning, and educational activities. Stuck at home? You can still discuss great literature
LibGuides: School of Science and Technology: Ask A Librarian

This guide is intended to assist you find and use resources relating to Science and Technology
User Interface Apps E-commerce Design Of RND Motosport

This Research aims to design an application e-commerce user interface forRND Motosport. this application was created as a medium and a means ofhelping motorbike buyers and sellers activities at RND Motosportdealerships, as wel as increasing brand awareness. RND Motosport onlyrelies on Instagram social media to sell and buy used motorbikes. this stillmakes it difficult for buyers to find used motorbikes that are ready and hasalready sold out. because Instagram as intended to which is used for RNDMotosport, is still messy and scattered with testimonial posts and itemsposts because the UI and UX are still not easy for users or buyers to findthe used motorbike they want. This application is designed to make it easierfor buyers or users to access and search for the used motorbike they wantat RND Motosport. It is hoped that with the RND Motosport e-commerceapplication, people who want to buy a motorbike in this place can find iteasier and more comfortable when looking for prefered motorbike goodsand also increase their brand awareness so that people will know moreabout RND Motosport dealership.
Visualization of the structure of the location of sample objects based on generalized estimates

The problem of visualization the structure of the sample objects is considered. A method for data visualization on a plane with a choice of equivalent coordinate axes based on the calculation of generalized estimates of sample objects is offered. Visual analysis of data on the plane is a source of new knowledge about the properties of sample objects, which gives an assessment of the applicability of standard recognition algorithms to solving problems. A graphical representation of the structure of the location of sample objects on the plane before and after removing noise objects is given. The method is recommended for testing various hypotheses in the form of a computational experiment in the development of information models in weakly formalized subject areas.
LibGuides: True Crime Resources: Articles

This is a guide to some of my favorite true crime resources. It will provide a variety of media to help you get your true crime fix! A List of Articles About True Crime
COVID-19 in Punjab, India: Epidemiological Patterns, Laboratory Surveillance and Contact Tracing of COVID-19 Cases, March-May, 2020

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI
LibGuides: Copyright, Intellectual Property, and Plagiarism: Home

A brief guide for students and faculty on the differences and similarities of intellectual properties, including copyright, and their resposibilites when using intellecutal properties
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning

Inverse reinforcement learning (IRL) is the task of finding a reward function that generates a desired optimal policy for a given Markov Decision Process (MDP). This paper develops an information-theoretic lower bound for the sample complexity of the finite state, finite action IRL problem. A geometric construction of $\beta$-strict separable IRL problems using spherical codes is considered. Properties of the ensemble size as well as the Kullback-Leibler divergence between the generated trajectories are derived. The resulting ensemble is then used along with Fano's inequality to derive a sample complexity lower bound of $O(n \log n)$, where $n$ is the number of states in the MDP.
Machine Learning for Big Data

Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Visualisation for ontology sense-making: A tree-map based algorithmic approach

Ontology sense-making or visual comprehension of the ontological schemata and structure are vital for cross-validation purposes of the ontology increment during the process of applied ontology construction. Also, it is important to query the ontology in order to verify the accuracy of the stored knowledge embeddings. This will boost the interactions between domain specialists and ontologists in applied ontology construction processes. Hence existing mechanisms have numerous of deficiencies (discussed in the paper), a new algorithm is proposed in this research to boost the efficiency of usage of tree-maps for effective ontology sense making. Proposed algorithm and prototype are quantitatively and qualitatively assessed for their accuracy and efficacy.
The Relationship between Administrative Empowerment and Continuous Improvement: An Empirical Study

This study aimed to identify the impact of administrative empowerment on applying continuous improvement in the Aqaba Special Economic Zone Authority. To achieve this, the researcher developed and evaluated a questionnaire and distributed it to a sample of 400 employees. A set of (321) copies of the questionnaire was retrieved, while (9) copies were rejected due to lack of information. The researcher used statistical methods (descriptive and analytical) to answer the study questions, test, and analyze its hypotheses. The results of the study showed that the application of administrative empowerment represented by its dimensions (Sharing Information, Autonomy and Freedom of Action, Reinforcement, work teams) impacted continuous improvement in the dimensions of PDCA in terms of dimensions (Plan, Do, Check, Act) In Aqaba Special Economic Zone Authority. This indicates that the administrative practices, instructions, and guidelines of the researched organization aim to achieve an increase in continuous improvement with a high positive degree. The study recommended establishing a center to train the employees to use the system. In addition to the need to make the required changes in the organizational structure by selecting experienced.
Pengaruh Kemandirian Belajar Dan Pemanfaatan Media Internet Terhadap Hasil Belajar Siswa Kelas Xi Akuntansi Di Smk Negeri 6 SukoharjoHalaman Judul

This study aims to determine the effect of: 1) independent learning on student learning outcomes in class XI Accounting at SMK Negeri 6 Sukoharjo, 2) the use of internet media on student learning outcomes of class XI Accounting at SMK Negeri 6 Sukoharjo, 3) independent learning and the use of internet media on student learning outcomes in class XI Accounting at SMK Negeri 6 Sukoharjo. This research is a quantitative research with a survey design. The population in this study were 107 students, the sample was obtained are 85 students by simple random sampling. The required data is obtained through questionnaires and documentation. The results of the regression analysis obtained the regression line equation HB (Y) = 49.37 + 0.347 KB (X1) + 0.300 PMI (X2). The conclusions in this study are: 1) There is a positive and significant effect of independent learning on student learning outcomes with an effective contribution of 45.91% and a relative contribution of 51.52%. 2) There is a positive and significant effect of the use of internet media on student learning outcomes with an effective contribution of 43.94% and a relative contribution of 49.31%. 3) There is a positive and significant effect of independent learning and the use of internet media on student learning outcomes with a coefficient of determination (R2) of 89.1%, while the rest explained other independent variables, such as learning motivation, parental support, student learning creativity and so on.
Half-day Panoramic view on Acoustic Materials - 6 - Noé Jimenez

The youth group of the new EAA (European Acoustics Association) Technical Committee on Acoustic Materials, the YAN (Young Acoustician Network) and the YRAM (Young Researchers in Acoustic Metamaterials) organized a joint event for young researchers (masters/PhD/post-docs) on the topic of acoustic materials on Monday, May 10, 2021. The program included 6 accessible lectures to grasp different aspects of the topic: Introduction to porous materials - Fabien Chevillotte (Matelys) Current (and future) trends in acoustic materials - Bart Van Damme (Empa) From granular media to magneto granular crystals - Georgios Theocharis (LAUM) Viscoelasticity in porous materials - Lucie Rouleau (CNAM) Bio-based acoustic materials for building applications - Clement Piegay (CEREMA) Biomedical ultrasound applications of acoustics holograms - Noe Jimenez (I3M, UPV) Links: EAA TC on Acoustic Materials: https://euracoustics.org/technical-committees/tc-on-acoustic-materials/tc-on-acoustic-materials EAA YAN: https://euracoustics.org/yan YRAM: https://yram.org
Guides: Request from Another Library: Submit a request

This guide is provides how-to assistance with interlibrary loan. It will also include WPI's Interlibrary loan policies.
LibGuides: Library Instruction, Services for Faculty: Blog

SCC Faculty Guide to Teaching Online Share your favorite resource with other faculty. See librarian suggestions. Read FAQs.
Physics methods for image classification with Deep Neural Networks

The studies performed in this thesis see their light in the context of an internship carried out in Porini, a dynamic business versed in digital consulting and software development. The ultimate goal of this research is to develop an algorithm to perform product recognition of common items found in supermarkets or grocery shops. The first part of the analysis will consider a simplified toy model, in order to gain a deeper insight on the data at disposal. In particular, a manual feature extraction will be designed, consisting of an equalisation procedure and a custom-built cropping for the images. A novel classification model will be then defined using average RGB histograms as references for each product class and testing out different metrics to quantify the similarity between two images. This implementation will culminate in the realization of a proof of concept in the form of an application for mobile platforms.In the second part of the study, object detection and recognition will be tackled in a more generalized context. This will require the employment of more advanced, pre-built algorithms, particularly in the form of deep convolutional neural networks. Specifically, a focus will be made on the single-shot approach, where a duly trained detector only observes the image at once, as a whole, before outputting its detection prediction; an exploratory analysis will be performed taking advantage of the YOLO model, a state-of-the-art implementation in the field.The results obtained are very satisfactory: the first part of the study has led to the definition of a new customized algorithm for classification which is robust and well-optimized, while in the second one promising foundations have been laid in the development of advanced object recognition tools for general use cases.
DI Library: About the DI Library: Policies

Hours, contact information, policies, and services of the DI Library Information about DI Library policies and procedures
HOTEL RECOMMENDATION SYSTEM BASED ON KASR SYSTEM

In today’s world of data, large amount of homogenous as well as heterogeneous data is available in service sectors like hotel, tourists etc. Accessing helpful information from these large pool of data is quite tedious task. In developing country like India, Hotel sector is becoming mature now and retrieving and providing information to the users to select appropriate hotel from any unknown place is very crucial. An automated system like recommendation system is useful to provide help in decision making process of any person. Large amount of hotel data, scalability and efficiency problem of traditional service recommendation system leads to create a new hotel recommendation system. In this intelligent system personalised recommendations are provided to the user based on keywords which elaborates user’s choices and preferences [8]. This system uses collaborative-filtering approach to generate recommendations using MapReduce parallel processing paradigm. Implementations is based on real time data related to hotels situated in Pune city.