Reviewerly/exHarmony huggingface dataset:
Resourcefulness and Growth of Entrepreneurs in Jos North Local Government Area of Plateau State Nigeria

Most entrepreneurs moves from one entrepreneurial activities to another, as a result of not be resourceful in their present activity, meanwhile where they are abandoning possesses much better opportunity for their expansion and growth.The point that the study is trying to buttress are those factors responsible to the growth of the entrepreneurs in their activities without leaving their present business or activities for another.Challenges faced by entrepreneurs in their businesses, are more or less similar in nature but varies in their scope.A research questions which includes the roles of fund availability, idea and customer patronage plays in the growth of entrepreneurs in Jos North Local Government Area of Plateau State.The population of the study includes a representative sample of small Businesses (fashion designers, Stylist and Metal Fabricators) within Jos North Local Government Area of Plateau State.The population of the study comprises all the 2401 registered entrepreneurs in Jos North Local Government Area of Plateau State.Yamene's formular for the sample size determination was used to arrive at a sample size of 342, questionnaire method for the study was adapted from (Bradley, 2015;Gora, 2012;Nason and Wiklund, 2018) on resourcefulness which was on a structured and self completion format.The study used SPSS multiple linear regression to present and test the hypothesis.The major findings was that there is a strong significant relationship between idea, fund and customer patronages on the growth of entrepreneurs in Jos North Local Government Area of Plateau State, idea was highly significant at(t=4.55).Therefore, the study concludes that idea, fund and customers patronage are relevant to the growth of entrepreneurs in their businesses.The study recommends that there should be consistency by entrepreneurs to adopt the culture of innovations through which their resourcefulness would contribute to their growth in their businesses, the implications of the study implies when adopted practically and theoretically it will yield a positive impact on the policy makers to enhances the resourceful nature of entrepreneurs in Nigeria
DCGAN for Handling Imbalanced Malaria Dataset based on Over-Sampling Technique and using CNN

Class imbalance problem as a significant research problem has been recognized in classification In recent years, where by using the number of approach to rebalancing distributions of class such as; under-sampling or over-sampling for learning datasets to improve accuracy of classification, that give good performance. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. In this paper, to rebalancing distributions of class for imbalanced Malaria dataset to detect infected and uninfected people by equal percentage we proposed approach Deep Convolutional Generative Adversarial Network (DCGAN) based on the O.S. technique, which are generate the synthetic samples for the minority class for imbalanced Malaria dataset and achieve a balance ratio between classes of majority and minority 100% for imbalanced Malaria dataset. As well as used Deep Learning, applied by using Convolutional Neural Network (CNN). The goal of CNN is to prove the validity of the proposed approach by firstly, will be train the imbalanced Malaria dataset and results are tested before using proposed approach. Secondly, will be training balanced Malaria dataset and results are tested after using proposed approach and comparison between them.
Integrated Cyber Crime and Cyber Security Model

This chapter illustrates the suggestions about specialised legal, institutional and awareness efforts by the criminal justice system (CJS)Criminal justice system to deal with cyber economic crimesCyber economic crime . A new integrated cyber securityCyber security model for these cybercrimesCybercrime to provide an efficient response for multiple challenges and problems faced by various stakeholders of CJS is contemplated upon. The model suggests various frameworks to support it and how to implement the same. CybercrimeCybercrime framework being a transnational and cross-domain problem which warrants institutional and policy reorientation, various institutional and legal arrangements and interventions are recommended to achieve immediate and efficient response for these cyber economic crimesCyber economic crime . The use of the latest technology to expedite the process of investigation and justice is also recommended.
Artificial Intelligence & Intellectual Property Related Issues in India: Need for Proper Regulatory Framework

Intellectual Property Rights are the creation of the mind, including inventions, literary and artistic works and symbols, names and images used in trade. Artificial Intelligence (AI) is the blend of science and engineering, coming out with a creation of an intelligent machine that responds and tackles issues like humans. It is the ability of a computer system to settle on choices for itself. In Artificial Intelligence, a heuristic is a technique used to tackle problems faster than conventional methods. AI has been an innovation with guarantee for quite a long time. The ability to control huge volumes of data rapidly and proficiently, recognizing patterns and quickly analyzing the most optimal solution which can be applied to a huge number of everyday situations and can provide solutions to age old issues and challenges. Apart from GO to technology for organizations, AI powered robots, utility of AI to forecast electricity demands etc., Intellectual Property(IP)  is just another market, where AI could have a deep  effect. AI can be deployed to simplify day-to-day tasks and deliver increased insight from IP data. In today’s scenario, technological advancement has led AI capable of producing poetry, works of art; develop inventions that have raised concerns about ownership because there is no human involvement. Otherwise, these works would have been recognized as IP created by a human being, but the question arises as to whether or not it deserves a special status in IP?  Whether the results provided by the system are the products of its own intelligence or not? Any suggestions to questions like these would be the framing of proper and adequate regulations. As of now, no current law recognizes AI as a legal entity and there are no related laws in India. The government of India hopes to regulate AI soon. This paper discusses the scope of AI in IP related issues and the dispute resolution mechanism between the two different streams of inventions.Keywords- Artificial Intelligence (AI), Intellectual Property (IP), Inventions.
Phishing Detection Model for Emails Using Classification Algorithm

Anti-Phishing Working Group (APWG) is a contributing member that report, and study the ever-evolving nature and techniques of cybercrime. The APWG tracks the number of unique phishing emails and web sites, a primary measure of phishing across the globe. A single phishing site may be advertised as thousands of customized features, all leading to basically the same attack destination.This work aims to design a machine learning model using a hybrid of two classification algorithms which include Random Forests and Support Vector Machine (SVM). Also perform feature selection on the obtained phishing dataset to select a subset of highly predictive features and evaluate the model against other classification algorithms and existing solutions with the following metrics: False Positive Rate (FPR), Accuracy, Area Under the Receiver Operating Characteristic Curve (AUCROC) and Weighted Averages. It is expected that upon evaluation of this model much improved efficiency would be recorded as against other existing models.
LibGuides: Digital Reference Services: Bienvenidos y Welcome

Online research, learning, and educational activities. We are here to help you find online materials, answers, and ideas. Welcome and let us know how we can serve you!
LibGuides: SUMMER 2021 Hybrid Access to Library Services & Resources: Ebook Collections

Whether you're here on campus or studying remotely, you still have access to library resources and services!
LibGuides: Document Delivery Services : Useful Discovery Tools

Document Delivery Service (DDS) is a service for KAUST students, faculty and staff to request full-text articles and book chapters (maximum 3 chapters) not available in the Library sources.
Understanding, Analyzing and Predicting Online User Behavior

Due to the growing popularity of the Internet andsmart mobile devices, massive data has been produced every day,particularly, more and more users’ online behavior and activitieshave been digitalized. Making a better usage of the massive dataand a better understanding of the user behavior become at the veryheart of industrial firms as well as the academia. However, due tothe large size and unstructured format of user behavioral data, aswell as the heterogeneous nature of individuals, it leveled up thedifficulty to identify the SPECIFIC behavior that researchers arelooking at, HOW to distinguish, and WHAT is resulting from thebehavior. The difference in user behavior comes from differentcauses; in my dissertation, I am studying three circumstances ofbehavior that potentially bring in turbulent or detrimentaleffects, from precursory culture to preparatory strategy anddelusory fraudulence. Meanwhile, I have access to the versatiletoolkit of analysis: econometrics, quasi-experiment, together withmachine learning techniques such as text mining, sentimentanalysis, and predictive analytics etc. This study creativelyleverages the power of the combined methodologies, and apply itbeyond individual level data and network data. This dissertationmakes a first step to discover user behavior in the newly boostingcontexts. My study conceptualize theoretically and test empiricallythe effect of cultural values on rating and I find that anindividualist cultural background are more likely to lead todeviation and more expression in review behaviors. I also findevidence of strategic behavior that users tend to leverage thereporting to increase the likelihood to maximize the benefits.Moreover, it proposes the features that moderate the preparationbehavior. Finally, it introduces a unified and scalable frameworkfor delusory behavior detection that meets the current needs tofully utilize multiple data sources.
LibGuides: Virtual Adventures (from Home): Home

A guide to free virtual experiences of places, museums, galleries, and adventures from around the world.
AR System for Mold Design Teaching

Mold design is one of the core skills for students major in mold design and manufacturing. In this paper, augmented reality (AR) system is introduced to teach students on the acquisition of mold inner structure design. The AR teaching system can be deployed in mobile terminals such as intelligent mobile phone or pad, at which the students can rotate and scale the three dimensional (3D) models, read explanatory notes and play the voice illustrations.
Preschool teacher's ways of motivating children to learn mathematical concepts

Diploma discusses preschool teacher’s ways of motivating children to learn mathematical concepts. In educational institutions, the children’s motivation for learning is very important. If children aren’t motivated, they will be less active in the activities and they’ve learned less. Preschool teachers often need to awaken interest of children, because only motivated children will listen, ask, think and learn something new. The preschool teachers have to planning activities according the age of the children, the differences between them and the children’s prior knowledge.Each educator motivates children on their own way. They can do this with puppets, didactic games, riddles, picture books, bags of surprise and with websites, or otherwise. In an empirical part I study which ways of motivating children preschool teachers know, which ones most often used in the planning of mathematical activities, why and how often. I was curious about how they get the knowledge for creation motivation to learning mathematics. The results of the survey questionnaire showed that more than half of the respondents think it is very important to motivate children before learning mathematical concepts, because, as they say, with introductory motivation we invite children to the activity and encourage to participate actively in next activities. Preschool teachers most often motivate children with didactic games, because with them they easiest motivate children and achieve the greatest success. Didactic games are also quickly accessible and very diverse. The least common way of motivating children to learn mathematical concepts is the World Wide Web.Most preschool teachers plans introductory motivation according on the age of the children. Children of different ages namely in their behavioural, physical and mental characteristics and abilities, which needs to be checked advance and activities adapted. There is no significant difference between educators with different years of working in choosing the ways of motivation.Most preschool teachers knowledge of motivating children to learn mathematical concepts get through professional literature, some from other preschool teachers and through seminars and other professional education within kindergarten. In spite of everything, most of them would like to additionally qualify of ways to motivating children.
IoT-Enabled Smart Elephant Detection System for Combating Human Elephant Conflict

Intrusion of wildlife is proved to be destructive for both human beings and animals. The incompatibility between the human wildlife is the major cause that leads to crop damage, injuries caused to both human and animals. In this system we have put forth wildlife intrusion monitoring using IOT. The wildlife are identified by using voice. Based on the voice we can easily identified wildlife, here we are going to identify the Elephants. And SMS notification along with the alarm is processed to the forest officials indicating that an animal has been detected in the forest borders and is fast approaching the human habitats. The existing system also focuses on atmospheric monitoring and therefore it overcomes the drawbacks of existing system. Thus, we have refined a prototype model that allows persistent detection and monitoring.
LibGuides: Getting Started Using the Library (Support during COVID-19) : Magazines & Scholarly Journals

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LibGuides: AICE Global Perspectives - Research, Organization, & Presentation Tools for Success: Browsing the Library

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Jellyfish: non-radio frequency counter drone technology

In contrast of RF jamming devices for counter-UAV measure, which proves ineffective for autonomous UAV, we propose Jellyfish - a vision-based and machine learning driven defensive approach using inexpensive drones. Jellyfish minimizes cost while maximizing the effectiveness of countering autonomous UAV threats. In software aspect, we collect synthetic and real-world imagery and train deep learning model for real-time adversarial drone detection and tracking and then feed tracking output to a highly responsive controller to mirror the movement of the adversary. On the other hand, we design a lightweight and self-releasable capturing mechanism, similar to the tentacles of a jellyfish (hence the name “Jellyfish"), to optimize both the capturing area and defending drone's maneuverability and survivability.
Implicaciones del uso de una plataforma online como sustitución al libro de texto

New technologies are changing the way we interact with the world around us, and, logically, also the way we teach languages. In this paper we justify, describe and evaluate an innovative curricular and didactic experience carried out at the college level, where in some Spanish courses we have completely substituted the textbook for an interactive platform, specifically designed for the students that are enrolled in these courses. We will analyze the creation process in detail, especially the difficulties and obstacles we faced, along with the results from a satisfaction survey that the students completed during the first semesters of use of the new tool.
Improving Sentiment Analysis of Arabic Tweets

Twitter popularity grew rapidly the last years and become a place where people express their opinions, views, feelings and ideas. This popularity and the vast amount of information triggered the interest of companies as well as researchers on sentiment analysis trying to export meaningful results from this information. Even if there is a tremendous amount of work on Latin originated languages, such as English, there is not much research available on native languages such as Arabic, Greek etc. This research aims to develop a new system able to bridge the gap in Arabic users and sentiment analysis by providing a novel dictionary able to classify Arabic Tweets with different Arabic dialects and emotions, as positive, negative or natural. The study provides a quantitative analysis to gain an in-depth understanding of the phenomenon under investigation and the findings of the study show that the designed system is very promising.
Detecting Conversational Failures in Task-Oriented Human-Robot Interactions

In conversations between humans, not only the content of the utterances but also our social signals provide information on the state of communication. Similarly, in the field of human-robot interac ...
Optimization of Musical Non-Symmetric 3-Strings

We develop a mathematical method to determine the physical features of non-symmetric 3-strings maximizing the degree of periodicity of their vibrations, which are generally inharmonic. The method is exemplify with two classes of 3-strings whose optimal configurations could be used to build new musical instruments.
Pengaruh Model Pembelajaran Kooperatif Tipe Discovery Learning Terhadap Aktivitas dan Hasil Belajar Siswa Kelas XI Pada Mata Pelajaran Ekonomi Di SMA Negeri 19 Medan Tahun Ajaran 2019/2020

This study aims to determine the effect of the Discovery Learning Cooperative Learning Model on the Activities and Learning Outcomes of Class XI Students in Economic Subjects in Medan 19 High Schools in Academic Year 2019/2020. This type of research is experimental research. The population in this study were students of Class XI social Sciences SMA Negeri 19 Medan Academic Year 2019/2020, totaling 84 students with the sample collection technique used was total sampling. The analytical method used in this study is the Normality Test, Homogeneity Test, Linear Regression Analysis, Hypothesis Test. The results showed that Learning Model Type of Discovery Learning has a positive and significant effect on Activities and Learning Outcomes. In the activity indicated by the acquisition value which indicates that the value of t_hitung > 〖 t〗_tabel is (2,078 >1,68385) and the significance value (0.045 〖 t〗_tabel is (2,183 >1,68385) and the significance value (0.035 <0.05).
Research Sources & Guides: Remote Access to Library Resources and Services: Alternatives to In-Library Databases

The majority of the Stanford GSB Library's resources and services are available to current Stanford faculty, students, and staff online from any location.
Axiological aspects of education and research activities in teaching mathematics at the primary level of education

This article examines value and relevance of educational material presented in the mathematics textbooks of the Soviet period. This material made it possible to really form a functionally competent personality of a student capable of applying this knowledge throughout his life. Confirmation of data is reflected in the number of tasks presented in the method of teaching and research activities, having practical orientation of these tasks also contributed to the career guidance of future generation.
LibGuides: Virtual Book Display: Bestsellers

Explore virtual collections of books and ebooks by monthly themes curated by University librarians!
Prepositional “where” in Southern Italian Dialects

This chapter investigates a phenomenon attested in some Southern Italian varieties, where a form identical to the <italic>wh</italic>-item meaning “where” can be used as a locative preposition. Since most of the dialects considered here only use P-where in cases of quasi-inalienable locative possession, this chapter adopts the recent proposal that the structural configuration of inalienable possession is to be interpreted as a RelatorP whose predicative head functions as the relator between the possessor, located in the specifier position, and the possessee, that is, the locative noun, sitting in the complement position. It also proposes that P-where exploits a sort of reduced relative in which the null classifier-like element PLACE located in the internal structure of the <italic>wh</italic>-item undergoes raising to the highest functional specifier; the reduced relative clause is taken to occupy the specifier of a bigger small clause, whose complement is represented by the RelatorP containing the actual lexical nouns.
LibGuides: Video Recording at Harbor Branch Library: Best Practices for Presentations

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LibGuides: Demystifying the Literature Review: Overview

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LibGuides: Reading Digital Content: Literary Criticsm & Overviews

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LibGuides: How to Connect Google Scholar to Saint Leo Library: Home

Connect your Google Scholar search so that you can see articles and books owned by Saint Leo Library.
Efficient Implementation of Recursive Multi-Frame Track-Before-Detect Algorithm Based on FPGA

It is widely recognized that the multi-frame Track-Before-Detect (MF-TBD) approaches show more advantages than the traditional Detect-Before-Track (DBT) approaches in the scene of weak targets detection and tracking. However, few studies focus on the engineering implementation of MF-TBD approaches in radar detection. Different from the traditional DBT approaches which only consider measurement points after single frame threshold detection, the implementation of MF-TBD approaches requires more transmission bandwidth and storage space. In this paper, we first analyzed the computational complexity of R-MF-TBD algorithm. Then the parallel processing architecture (PPA) was proposed to adapt the R-MF -TBD algorithm. Finally, we implemented the architecture for processing radar data on FPGA, and the correct tracks are output while the processing time is significantly lower than the software simulation.