Reviewerly/exHarmony huggingface dataset:
Object Detection and Segmentation in Histopathological Images using Deep Learning

The purpose of this project is to solve the long unsolved challenge & suffering faced by mankind for decades by one of the deadliest diseases with no proper cure i.e., “Cancer”. Cancer can be cured if it is detected at the earliest, but many times this gets delayed as Pathologists should do the process manually going through each and every part of the histopathological images under microscope. Human error also becomes a factor & hence sometimes the report becomes falsely negative or falsely positive and treatment is delayed or started unnecessarily respectively.To overcome all these, we are working on an algorithm that can supplement in identifying & segmenting cancerous nuclei & tumor buds. Hence helping early detection & begin treatment as soon as possible with maximum efficiency.
Blockchains for Supply Chain Management Networks

Blockchain is a distributed and digital ledger which has transformed supply chains in various ways. In this chapter, we will investigate how blockchain can add value to the supply chain management system. This chapter will further investigate the influence of integrating blockchain technology to the current supply chain system and discuss its long-term implications. In essence, research has been carried out to verify if blockchain technology is capable of providing the transparency and the accountability the current Supply Chain Management (SCM) system lacks. The chapter looks at advantages and disadvantages of such integration and provides feedback and recommendations on the same. The research findings aim to provide better insight into current practices used by large logistic and supply industries and what the future holds for such companies using the SCM system.
Library: Data Visualization: Software & Tools

Resources and information about data visualization at the University of Calgary and beyond.
Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract)

Curiosity affects users' selections of items, and it motivates them to explore the items regardless of their interests. This phenomenon is particularly common in social networks. However, the existing social-based recommendation methods neglect such feature in social network, and it may cause the accuracy decease in recommendation. What's more, only focusing on simulating the users' preferences can lead to information cocoons. In order to tackle the problem, we propose a novel Curiosity Enhanced Bayesian Personalized Ranking (CBPR) model. Our model makes full use of the theories of psychology to model the users' curiosity aroused when facing different opinions. The experimental results on two public datasets demonstrate the advantages of our CBPR model over the existing models.
Central Louisiana Technical Community College Library: Industrial Manufacturing Technology: Library Resources: Databases and Electronic Articles

This LibGuide will provide you with basic research information for the Industrial Manufacturing Technology program.Use the tabs to the left to get information on finding books, finding articles from magazines and journals, and locating recommended web
PHILOSOPHICAL ANALYSIS OF THE FORMATION OF READING CULTURE FOR YOUTH IN AN INFORMATIONAL SOCIETY

It is well known that humanity is going through a period of real revolutionary changes in the field of information, and as a result, a global information society is being formed. At the heart of these changes is the emergence of the most modern and efficient means of transmitting and delivering information to the consumer on the basis of convergence of information, telecommunications and computer technologies. As a result, the XXI century has been recognized as the century of an informed society, which means that ensuring the rapid and high-quality circulation of information is becoming a key criterion for the development and prosperity of the country. Today, humanity has acquired a whole new, almost unexplored world maintained with the help of high information technologies, computers, created as a result of information and globalization.This article examines in detail the formation of the skills of young people in the information society in the formation of a culture of reading, not only books, but also the ability to quickly innovate in the exchange of information, search for it and work with the necessary materials.
An Attention Based Automatic Image Description Generation

With the recent advancements in object detection and machine translation techniques, we proposed an attention based model that automatically performs the image caption generation. We have used two kinds of attention mechanisms named hard stochastic attention and soft deterministic attention. We can train the model using backpropagation techniques and our model concentrates on the important objects present in the image. By considering these salient objects it can generate the corresponding captions word by word as the output sequence of LSTM. We validated our model on the standard MSCOCO dataset.
Detection of breast pathologies in digital mammography images by thresholding and mathematical morphology

This paper proposes an algorithm for mass and micro-calcification detection by manual thresholding and prewitt detector. This algorithm has been tested using mammography images of different densities from multiple databases of a health clinic and images taken from the internet (40 images in total). The results are very accurate, allowing better detection of breast pathologies (mass and micro-calcification). Finally, the detection of breast pathologies was performed using as input a detection algorithm specially designed for this purpose. After segmentation by manual thresholding, morphological opening, morphological dilatation and Prewitt contour detection we have a demarcation of the masses and breast micro-calcification. The results obtained show the robustness of the proposed manual thresholding method. In order to evaluate the efficiency of our pathology detector, we compared our results with those in the literature and performed a qualitative evaluation with a rate of 98.04% for the detection of breast pathologies.  A radiologist from the health clinic evaluated the results and considers them acceptable to the CAD.
Implementation of sport facilities booking system using progressive web application technology / Nur Suhaida Sastery Al Zaman @ Kamaruzaman

This paper reports on the functionality and usability of the online system found on the Internet. By using web technology, it delivers the promise of access to information from anywhere in the world. Booking sports facilities is difficult nowadays because people are quite busy and do not have enough time to physically make a reservation. To overcome this problem, this research aims to help administrators to organize the data in a better style and format while also providing users an easier platform for reservation through internet connection. The implementation of online booking system using Progressive Web Application Technology that would still work offline may offer the best user experiences in parity with native application (apps) counterparts. It is crucial that progressive web apps get served from a secure origin such as HTTPS and support push notifications. Every local authority or private owners should take this opportunity in improving and updating their e-services regularly because in this new era, people are getting more reliant on such access to save their time and money. If every other country in the world makes use of this new technology, life will become easier. Besides, we can also improve our lifestyle while preparing our generation to be more intellectual and independent.
Invitation Article : New Directions in Online Illicit Market Research

Criminological scholarship has long examined the ways that illicit goods and services are traded through underground economies, such as narcotics and stolen goods. In the last two decades, researchers have explored the ways that online spaces, such as forums, are used by actors to engage in the sale of digital goods, including stolen personal information and malicious software. Additionally, research has begun to explore the ways that a global network for the sale of drugs has emerged in online markets operating on the so-called Dark Web. Though these studies improve our understanding of the basic social structures that drive online transactions for various criminal services, myriad questions remain as to what drives engagement in online markets and the ways that they persist and evolve over time. This work provides an overview of the various illicit markets operating on the Open and Dark Web, and their relationship to open and closed economically-motivated illicit goods and services markets in the real world. This work also explores the range of research questions that must be addressed to improve our understanding of the actors who shape the processes of online markets, inclusive of buyers, sellers, and website operators.
From Corporate Governance to Crypto-Governance

In this paper I examine governance from a corporate perspective and then apply some of those ideas to blockchain governance. There is no need to re-discover or reinvent governance. The principles of governance have been established and understood for a long time – what is new is blockchain technology. The technical innovation associated with blockchain masks some commonalities with the industrial economy. Organisations in need of governance are a nexus of contracts. Blockchain applications as organisations are a nexus of smart contracts. Once this perspective is adopted, it is very clear that blockchain governance cannot simply be a strategy to decentralise and then vote as a group on all decisions. I then explain why a hypothetical blockchain foundation would have concentrated control and would be a non-profit organisation.
Scania V8 Openpipe Crackle Sound

Hello, all here I will share a sound mod. rebuild and touch the sound sample a little. Thanks forKriechbaum for Base mod and Rasta Jr.Production for ...
Predicting Preservice Mathematics Teachers’ College Academic Achievement

This study employed a multiple regression analysis to examine the relationship between academic aptitude and high school achievement factors to predict preservice mathematics teachers’ college academic achievement.  Specifically, an analysis of correlations and descriptive statistics was performed on predetermined academic factors of 67 undergraduate students enrolled as preservice mathematics teachers.  In essence, a comparison of their SAT Verbal and SAT Mathematics scores, high school grade point averages, and college grade point averages disclosed significant relationships among all variables.  Of special interest is that the mean high school grade point average of the preservice mathematics majors was a 3.63 (SD =.39) and the mean college GPA was 3.22 (SD =.56), which resulted in a correlation of: r = .53, n = .67, p < .01.
Animal Trailer In Traffic [1.36.X]

Animal trailer in traffic v1.0 for Euro Truck Simulator 2 game With This Mode You Have In Traffic For Ai Cars, Trailer With Animated Livestock (cows ...
Pendampingan Mendidik Siswa dengan Mutu dan Kualitas Setara dengan Sekolah Formal

Non-Formal Education is an alternative solution. In this study, a school data management information system was built consisting of five levels of users, namely the main administrator, school administrator, teachers, students, and community. The data were in the form of school data, facilities, managers, teachers, students, and general information. In addition, there was a Learning Program Unit (SAP) which informed the materials that must be delivered in the learning process. This information system was equipped with a learning application for the National Examination for students, consisting of subject material and practice of multiple-choice questions for economics, sociology, Indonesian, English, Geography, and Mathematics. The data constructed from the Education Office of Muaro Jambi Regency and the organizers of the package C program. While the learning application materials came from certain high school textbooks.
Estratégias em saúde para lidar com a pandemia de covid-19: proposta de um e-book / Health strategies to deal with pandemic covid-19: proposal for an e-book

The objective of this work is to present an e-book prepared by the Lifestyle and Health Research Group with the objective of gathering relevant information to promote beneficial actions for physical and mental health and a better quality of life during this period with a focus on a healthy lifestyle.The material produced was entitled "Lifestyle: interprofessional health strategies for coping with the quarantine period" and consists of 10 chapters divided into 42 pages.Participated in the critical analysis of this product 10 judges who evaluated the content regarding organization, writing style, appearance, and appeal of the material, according to instructions for evaluating the suitability of materials from the book Teaching Patients with Low Literacy Skills recommended by the Harvard T.H. Chan School of Public Health.The e-book proposed in this study was based on scientific evidence presenting illustrative images and useful links to the reader with the goal of enabling interaction in an accessible language.The production of the e-book can serve as a tool for health promotion and quality of life to be used by the general public as well as to support actions of health professionals.
Smart Access System for Public Transport

According to data obtained by the World Health Organization, the global pandemic of COVID-19 has impacted the world severely. To combat the virus there are certain mandatory protocols set by the World Health Organization. Those are wearing face masks and following social distancing in public places in order to prevent the spread of the virus. Wearing masks will effectively stop airborne viruses so that such infections cannot reach a human body. In this project deep learning techniques are applied to construct a classifier that will collect pictures of people wearing masks and those who are not from the database and differentiate between these classes of mask wearing and non facemask wearing. To create a safe environment that contributes to public safety, we have designed a computer vision based approach focused on the automatic monitoring of people to detect face masks in public places by implementing the model on Raspberry Pi to survey activity and detect breaches through cameras. After detection of breach, the Raspberry pi sends a red signal. Thus, the proposed system favours the society by saving time and helps in lowering the spread of the virus. It can be used effectively in current situations when lockdown is eased to inspect persons in public transports i.e railway stations, airports, bus stations etc. Automated inspection reduces manpower to inspect the public transport stations mainly and also can be used in any place.
LibGuides: OER & ZTC – Current Course Materials in use @ Skyline: Open Education Week 2021

Browse the table below to find out what materials Skyline College instructors are using to reduce textbook costs for students in their courses. Want to know more? Contact the ZTC Team for more information.
Development and Application of Sports Training Decision Support System

Science and technology is an important support to promote the development of sports, and the dependence of sports training on science and technology is becoming more and more obvious.The purpose of the development and application of the sports training decision support system is to integrate the scientific the training theory and advanced training methods are applied to the management of physical education and sports training for college students, effectively exerting the auxiliary role of science and technology in sports training.This system enriches the knowledge base by generating new knowledge rules through data mining technology, selecting the corresponding model based on user input and combining with the rules in the knowledge base to step by step to produce a set of reasonable sports training programs.
Управление цифровыми коллекциями университета в условиях изменений на примере Фундаментальной библиотеки Белорусского государственного университета

The article discusses the digital collections management system of the BSU Electronic Library and the possibilities of its response to changes. The evaluation of information support of distance and mixed forms of education, as well as the prospects for the development of digital content
Smart Iron Board / Muhammad Hisyamuddin Hamzah

This report is meant as an insight over the product development for the innovative product that are to be designed, constructed and marketed for a particular market and industries. EZ Sdn.Bhd is a new company established in May 2020 with a vision to be people number one iron board furniture manufacturer in Malaysia. Our mission is to provide the iron board that promotes eco-friendly function where people can use the multifunction iron board that provided mirror and small storage in limited spaces. My product has innovated the existences of iron board into additional features and design modifications that could satisfy the Malaysian society. Hence, my company aims to find ways in order to solve the problems and to provide the people with a better version of the furniture that can answer to modern day problems. In this report, I will provide the insight on the phases of the development of my product. Among the phases includes the research and development of my intended product in regard of the innovation I targeted on, followed by the design procedure of my intended product for the market. In order to ensure the viability of the product, be it both the short term and the long term. For this purpose, multiple testing of my product will be conducted thoroughly, beginning with the concept testing of the product involved. This process will be followed by the construction of a workable prototype of our product in order to test its ergonomic, its functionality as well to identify any unforeseen limitation of our product for further improvement, in there is any. My product will also be tested on the market in order to gain insight over the opinions and reception of our targeted customer group in order to ensure that it is able to compete on the market upon the completion of my marketable product.
LibGuides: Diversity in STEM Education: Videos

This Library Guide contains resources for students interested in Diversity in STEM education (Science, Technology, Engineering, and Mathematics)
Two-qubit geometric discord. The solution

Abstract We report the analytical solution of the problem of description of quantum geometric discord for a two-qubit system.
Autonomous Robot Path Planning in Static and Dynamic Environment by Applying Nature Inspired Computing (NIC) Algorithm

The mobile robot path planning is a central problem in several areas such as modern industry and cyber physical systems. This requires an embedding intelligence into that robotics for ensuring feasible solutions to task execution. Most of Research Problems are solved by observing the nature to solve our real-life day-to-day problems. The logic behind computing algorithms is inspired by nature for solving idea of computations problems. These algorithms are best optimization problems to solve computational problems in a reasonable time and providing optimum results. Path planning is one of the tasks of mobile robot to reach towards destination without any disturbance for reaching their goal within time bound.  In this paper, the particle swarm optimization (PSO) is applied for mobile robot path planning to reach its destination. The performance results of proposed PSO for mobile robot path planning shows better results with conventional algorithms to reach destination with minimum energy consumption and also with minimize efficiency towards travelling from source to destination path.
Opportunity to add skills in the field of rail development

KUANTAN, 6 April 2021 - The selection of Universiti Malaysia Pahang (UMP) as the Tester Training Module training centre in the Industrial Skills Training Programme (PLKI ECRL) provides an opportunity for UMP to contribute towards the construction of the high-profile project of East Coast Rail Link (ECRL).
Using Blinking to Mitigate Passive Side Channel Attacks and Fault Attacks

Author(s): Blackstone, Jeremy | Advisor(s): Kastner, Ryan | Abstract: Ignoring security concerns when building digital hardware allows for malicious parties to take advantage of vulnerabilities to gain access to secret information and manipulate systems.This is unacceptable because of the disastrous results of attackers compromising consumer products such as cell phones, smart cards and automobiles. To this end, researchers have developed numerous mathematically secure cryptographic algorithms. Unfortunately, side channel analysis (SCA) attacks bypass these algorithms by monitoring the effects of the algorithm on a physical platform through power consumption, electromagnetic emanations (EM), or subjecting it to fault injection. These effects are referred to as side channels. By analyzing side channels, an attacker is able to discover sensitive information, e.g., extracting the secret key from a cryptographic algorithm. It has been shown that retrieving side channel information is not uniform. Some portions of the execution reveal a large amount of information to an adversary while other portions reveal little to no information to the adversary. However, most SCA countermeasures incur larger than necessary overhead by protecting all portions of the computation. One way to reduce overhead is through a methodology called blinking. Blinking identifies the most critical points in time for a cryptographic computation and performs isolation to prevent an adversary from observing or modifying any information. This thesis proposes using blinking in a variety of different scenarios and provides analysis so hardware designers can make informed decisions on how to balance the performance, area overhead, power consumption and security.First, this thesis provides analysis on using blinking to mitigate power analysis attacks with an on-chip capacitor. Next, this thesis shows how the same on-chip capacitor can be used to protect against differential fault analysis, fault sensitivity analysis, biased fault analysis and combined fault analysis. Finally, this thesis demonstrates how blinking can be used to attenuate EM analysis.
EFL LEARNERS’ MORPHOLOGICAL AWARENESS AND LEXICAL KNOWLEDGE (A CORRELATIONAL STUDY)

Lexis or vocabulary is one of the important components of the language. Without knowing the vocabulary, learners of a language cannot be able to understand the language itself because vocabulary establishes the frame of language. It is important for learners to enhance their lexical knowledge. Morphological awareness has significant role on the lexical knowledge. This study aims to find out the correlation between morphological awareness and lexical knowledge among Indonesian EFL learners who possess Indonesian language as their first language. Indonesian is an agglutinative language which relies much on prefix and suffix. This study employs quantitative approach with correlation statistics design. The participants of this study are 89 first-year students of English Language Education Program Universitas Brawijaya. The findings revealed that the majority of the participants are in the medium level of morphological awareness and lexical knowledge. The findings show that there is a significant correlation between morphological awareness and lexical knowledge with .842 correlation degrees. Learners with high morphological awareness will have high lexical knowledge. The relationship applies in Indonesian EFL learners who possess Indonesian language as their first language that belongs to agglutinative language which contains several morphemes per word. It is suggested for the future researchers to look greater depth into morphological awareness and lexical knowledge in causal relationship.