Reviewerly/exHarmony huggingface dataset:
Information Security Cost Reduction Through Social Means.

As data breaches in mid-sized to large organizations become more frequent and more public, there is a need to focus less on technological solutions to information security management and more on sociological solutions. In this paper cost saving information security initiatives are identified and a framework is proposed for organizational and behavioral change in technical human resources, to better address information security concerns.
LibGuides: HACC User Support: HAWKMail

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
Gaze Estimation by 2D Geometrical Analysis of Low Resolution Images

In this research, an eye gaze detection method is developed to realize a HCI (Human Computer Interface) through determining the position of the Iris of eye as an input. This investigation is conducted for utilizing the ordinarily available components such as a low resolution webcam which is built-in any electronic gadgets such as laptop, smart phone, and tablet avoiding the need to buy extra hardware to interact with the machine. A complete gaze detection mechanism needs three basic steps to be taken, detection of eye socket, location of iris along with its center point estimation, and a reference setting mechanism through which point of gaze could be identified. Multiple approaches are investigated to do three mentioned steps and develop a less computationally expensive and effective gaze detection mechanism. For computational simplicity, extracted eye image is considered a 2D (Two-Dimensional) plane and different ways of setting reference points for gaze point identification are explored. Solving issues along the way, research is concluded by developing a remote gaze detection method based on the ‘Chehra’ which is an open source facial landmark localization technique. The results depicted ‘Chehra’ based method as better than the other investigated methods. The approach yielded results with 83% accuracy.
PERIODICITY DETECTION IN AGN WITH THE BOOSTED TREE METHOD

We apply a machine learning algorithm called XGBoost to explore the periodicity of two radio sources: PKS~1921-293 (OV~236) and PKS~2200+420 (BL~Lac), both radio frequency dataset obtained from University of Michigan Radio Astronomy Observatory (UMRAO), at 4.8 GHz, 8.0 GHz, and 14.5 GHz, between 1969 to 2012. From this methods, we find that the XGBoost provides the opportunity to use a machine learning based methodology on radio dataset and to extract information with strategies quite different from those traditionally used to treat time series and to obtain periodicity through the classification of recurrent events. The results were compared with other methods from others works that examined the same dataset and exhibit good agreement with them.
Library, Information, and Technology Services: At Home Production Guide for ATS Faculty: Recording Platforms (Pros and Cons)

This guide details some best practice guidelines for creating video and audio content at home. There are also some equipment recommendations at the end that could be used to improve production as well.
Likelihood and Decoding in a Partially Hidden Markov Model

A Hidden Markov Model (HMM) is composed of two processes, a Markov chain whose evolution is hidden and an emission process that is observable. The resolution of fundamental problems in HMM is based on the computation of the probability of an observed emission sequence using all possible corresponding hidden sequences. In this paper, we assume that the Markov chain is not completely hidden and we know one or two states at fixed times during the evolution interval time. The obtained HMM is then partially hidden. Principally we interest to the computation of the probability of an observed emission sequence given that the Markov chain goes through one or two fixed states at fixed times. Mainly we resolve the likelihood and decoding problems by developing formulas for forward and backward probabilities and the related Viterbi algorithm, assuming that we have some precise information at fixed times. Numerical examples are studied to show the smooth running of the proposed partially HMM.
My Phone Won’t Charge – Solutions For Android And iPhone

Are you having a hard time charging your Android phone or iPhone? Are you wondering why your phone wont charge and what you can do to fix it? If you ...
Food semantics on pro-anorexia websites in Italy.

Introduction The term pro-ana (pro-anorexia) means the spread of restrictive eating behaviors and anorectic advices in virtual spaces written by teenagers. The purpose of this pilot study consists in a qualitative and quantitative analysis of foods contained in a linguistic corpus made up of users' comments on pro-ana websites. Method The corpus of pro-ana websites was analyzed through the T2K tool based on word-frequency processing. Results The results show conversations regarding beverages, products of vegetable origin (fruit, vegetables) and low-calorie foods, with a tendency to limit the fear linked to the choice of high-calorie foods through reassuring and reconcilable language labels (light, sugar free). Conclusions These findings specify the food semantics on pro-ana websites associated to an anorectic vocabulary with restrictive diets. The results could be used to characterize the most common food as risk factors within the eating disorders framework.
중소벤처기업의 기업가정신이 조직그릿을 매개로 경영성과에 미치는 영향에 관한 연구

This study aims to investigate the relationship between entrepreneurship, organizational grit, and management performance in a rapidly changing business environment with trade disputes and the Fourth Industrial Revolution. The study was conducted in the form of a questionnaire and was based on data collected by 445 workers of Korean SMEs. The results show that proactiveness and risk-taking of entrepreneurship positively impact the consistency of interests in organizational grit, and innovativeness and proactiveness of entrepreneurship positively impact the perseverance of effort in organizational grit. proactiveness has a positive impact on both the financial and non-financial performance of management performance. In addition, the perseverance of effort in organizational grit has been proven to have a positive impact on the financial performance of management performance.
A Study of Understanding among Metropolitan Students about Deep Web

ABSTRACTBeyond the content of Internet that can be accessed easily lies another layer – much larger layer– of material that cannot be accessed through a traditional online search. As experts have said, “searching the Internet today can be compared to throwing a net across the surface of the ocean”. While a great many things may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. This deep region of the Internet, or the Deep Web, is characterized by the unknown – unknown size, space, content, and users. The furthest ends of the Deep Web, known as the Dark Web, contain content that has been intentionally concealed. The main objective of this paper is to explore the Deep Web, its content, and challenges and risk associated with it.Keywords: anonymity, Deep Web, Dark Web, illegal activities, surface webCite this Article: Abhishek Shrivastav, Alok L. Singh. A Study of Understanding among Metropolitan Students about Deep Web International Journal of Computer Science and Programming Language. 2019;5(1) 1–8p.
Blood Calcium Homeostasis

Blood Calcium Homeostasis is a POGIL learning-cycle activity designed for upper level high school or lower level college human biology or anatomy and physiology classes. In this activity, students play the role of the key effectors of calcium homeostasis and investigate the effects of parathyroid hormone on each effector and on blood calcium levels. After completing this activity, students will be able to describe calcium homeostasis mediated by parathyroid hormone’s effects on the small intestine, bones, and kidneys.Level: upper level high school or lower level college Setting: classroom Activity Type: learning cycle Discipline: biology Course: Human Biology, Anatomy and Physiology, Physiology Keywords: homeostasis, parathyroid hormone, blood calcium
Designing tomorrow’s quantum internet

The design of any future quantum internet will rely on quantum repeaters and how information is transmitted through it. It is already well known that the task that would be performed within such an internet will go well beyond quantum key distribution and are likely to include quantum remote sensing and distributed quantum computation. In this presentation we will discuss a number of design options possible to support those advanced tasks. At the heart of this will be quantum routing which is highly dependent on the quantum repeater architecture. We will introduce a quantum quality of service to characterize the potential performance of a quantum internet and shows how it leads interesting network and routing behavior.
Class mean vector component and discriminant analysis

The kernel matrix used in kernel methods encodes all the information required for solving complex nonlinear problems defined on data representations in the input space using simple, but implicitly defined, solutions. Spectral analysis on the kernel matrix defines an explicit nonlinear mapping of the input data representations to a subspace of the kernel space, which can be used for directly applying linear methods. However, the selection of the kernel subspace is crucial for the performance of the proceeding processing steps. We propose a new optimization criterion, leading to a new component analysis method for kernel-based dimensionality reduction that optimally preserves the pair-wise distances of the class means in the feature space. This leads to efficient kernel subspace learning, which is crucial for kernel-based machine learning solutions. We provide extensive analysis on the connections and differences between the proposed criterion and the criteria used in kernel Principal Component Analysis, kernel Entropy Component Analysis and Kernel Discriminant Analysis, leading to a discriminant analysis version of the proposed method. Our theoretical analysis also provides more insights on the properties of the feature spaces obtained by applying these methods. Results on a variety of visual classification problems illustrate the properties of the proposed methods.
Aplikasi Mobile dengan Fitur Push Notification Berbasis Android sebagai Media Informasi Pengumuman dan Kegiatan Mahasiswa di Stmik Widya Utama

Widya Utama Institute of Computer and Informatics Management (STMIK Widya Utama) is one of the private universities in the city of Purwokerto which focuses on Information Technology. It seeks to provide services with the availability of information about academic announcements and campus activities that are distributed through bulletin boards and websites. The media has not yet fully become a solution for the availability of up to date and real time information for students. Therefore this study designed Android-based application with a push notification feature as an information media and student activities this campus. This study produces a mobile application that can easily implement the push notification feature and provide information in real time and up to date. This application applies the prototyping method which consists of several steps, namely identifying basic requirements, developing initial prototypes, user reviews, and revice and echance of the prototype. This application is tested using valid value Black Box Testing product and a reliable value benefit tests. From the recapitulation of product test scores and benefit tests, the highest percentage in the Learnability aspect was 98.25%. This means that this application is easily learned by all academic of STMIK Widya Utama
Penerapan Model Protokol AAA (Authentication, Authorization, Accounting) Pada Pengamanan Jaringan Komunikasi WAN (Wide Area Network)

Security is the most important aspect in a computer network. Both in networks that are local or not. The main problems that are often found on computer networks include the destruction of system devices, access to information, changes in information and deletion of information by people who do not have the right to that information. The development of technology for now, almost all agencies have used computer networks such as WAN where the function can connect LAN networks in a large geographical area and be able to exchange data packets and frames between routers and switches. The AAA protocol model (Authentication, Authorization, Accounting) can be used one at a time or combined as needed. Using this network model will be far safer than using only one security process. This model can be processed by the necessary networks and results in effective communication. This model also divides these processes into logical groups called layers.
Computer Based Stylometric Analysis of Texts in Ukrainian Language

Stylometry analysis of Slavic-language texts is less explored challenging issue in direction of computational study. The aim of the paper is to develop and verify stylometric methods in a task of authorship, age, and gender of author recognition for literary texts in Ukrainian that could give a usable accuracy. Were prepared common stylistic features using the self-designed corpus. Different feature selection and classification methods were analyzed. Also, the objective of this examination is to analyze several stylometric variables to test its statistical importance with \(\chi ^2\) selection.
ADAPTATION OF E-LEARNING DISRUPTION THROUGH ZOOM IN PANDEMIC COVID19

The purpose of this study is to find out how to adapt disruption in learning E-Learning using the zoom application in the pandemic covid19. With the determination of BNPB regarding PSBB and also the Board of Trustees and Kepwal regarding the implementation of PSBB, then the Tangerang City Government limits all activities and hopefully all people can adjust to the current situation. Because E-learning has been announced in the Republic of Indonesia Ministry of Education and Culture Regulation No. 109/2013 Regarding the Implementation of Distance Education in Higher Education, this learning method is already familiar among students especially millennia.From the results of the author's research using qualitative research it can be seen that based on the results of interviews and existing data it can be concluded learning from home (study from home) or when workers work from home (work from home) Zoom application is an application that is often used as learning Media. In the beginning of user learning, there are technical constraints and ignorance of the operation of the application. But with the understanding of the use of periodic and content (content) an interesting learning can make students or audiences interested, especially in the application students can interact with the host or instructor namely teachers, lecturers, instructors and others so that they are comfortable and accustomed to using the application Keywords: Adaptation disruption, E-Learning, Zoom Cloud Meeting
Licht en recht

Light and right The adjectives licht and recht can be used as adverbs of degree; they can also be used to express a negative-polar meaning in combination with a restricted number of verbs. In this squib, we will focus on the negative-polar and collocational properties of licht and recht by means of corpus data. Licht is shown to be associated with futural clauses, often in combination with the verb vergeten ‘to forget’, while recht is associated with cognitive verbs, especially weten ‘to know’, begrijpen ‘to understand’ and verstaan ‘to understand’.
Classifying Image Series with a Reoccurring Concept Drift Using a Markov Chain Predictor as a Feedback

We consider the problem of classifying images, ordered in a sequence (series), to several classes. A distinguishing feature of this problem is the presence of a slowly varying, reoccurring concept drift which results in the existence of relatively long subsequences of similar images from the same class. It seems useful to incorporate this knowledge into a classifier. To this end, we propose a novel idea of constructing a Markov chain (MC) that predicts a class label for the next image to be recognized. Then, the feedback is used in order to modify slightly a priori probabilities of class memberships. In particular, the a priori probability of the class predicted by the MC is increased at the expense of decreasing the a priori probabilities of other classes.The idea of applying an MC predictor of classes with the feedback to a priori probabilities is rather general. Thus, it can be applied not only to images but also to vectors of features arising in other applications. Additionally, this idea can be combined with any classifier that is able to take into account a priori probabilities. We provide an analysis when this approach leads to the reduction of the classification errors in comparison to classifying each image separately.As a vehicle to elucidate the idea we selected a recently proposed classifier (see [, ]) that is based on assuming matrix normal distribution (MND) of classes. We use a specific structure of the MND’s covariance matrix that can be estimated directly from images without feature extraction.The proposed approach was tested on simulated images as well as on an example of the sequence of images from an industrial gas burner’s flames. The aim of the classification is to decide whether natural gas contains a sufficient amount of methane (the combustion process is proper, lower air pollution) or not.
Research Guides: ENG 2100: Writing I - Prof. Moore, Fall 2020: Free Access To the New York Times and Availability of Other Newspapers

Explains resources available through the Newman Library to assist students with research for their first writing assignments in college by suggesting databases and explaining the types of resources and help available. Describes how to search and find newspaper articles through the Newman Library homepage.
Er is nog steeds geen partikelwoordenboek, hoewel echter het partikelonderzoek niet stilligt*

There is still no dictionary of particles, although particle research is on-going This paper seeks to explain why there is (still) no comprehensive descriptive work of the particles of Dutch. It does so by focusing on a number of particles that appear to go against common wisdom concerning Dutch sentence structure, in particular V2-violations and wide scope particles that are deeply embedded in complex phrases.
Kemampuan Mahasiswa Angkatan 2018 Prodi Pendidikan Bahasa Jepang Fkip Unri Dalam Menentukan Isi Teks Deskripsi

This study describes and explains the ability of 2018 students of the Japanese language education program FKIP UNRI in determining the contents of the description text. The purpose of this study was to determine the ability of 2018 students in determining the contents of the description text. In this study the authors used a descriptive research method by using a quantitative approach. Test processed using Microsoft Excel. Test results in class 2018 acquired the average student’s ability to determine the content of the description text by 74,28 and an average percent is 70,6%. That value falls into a good category because it’s in the 71-90 range. Thus, the ability of 2018 students of the Japanese language education program FKIP UNRI to determine the contents of the description text is good.Key Words: Description Text, Dokkai
Research Guides: Getting Started with Python (Resources): Start Here

This guide is intended for users introduced in learning the Python programming language. The guide includes resources from the UA Libraries collection, as well as external tools and self-guided tutorials.
RANCANG BANGUN SISTEM INFORMASI E-ARSIP BERBASIS MICROSOFT ACCESS DALAM PENANGANAN ARSIP INAKTIF (STORING, PLACING, FINDING) DI DINAS PEKERJAAN UMUM DAN PENATAAN RUANG KOTA MALANG

Abstract : Design of E-Archive Info r mation Systems Based on Microsoft Access Handling Inactive Records (Storing, Placing, Finding) in Public Works and Spatial Planning Office of Malang City . Every implementation of activities in an institution or agency will always produce an archive that is created. The more activities that are carried out the more archives are created, ranging from active dynamic records, inactive dynamic records, to static records. The type of archive that is rarely used anymore for the purposes of carrying out administrative activities is the type of inactive dynamic archive. Malang City DPUPR has established an archive space as a storage area that can manage and store dynamic inactive records. But in managing the archive space is still constrained by the maximum storage, placement, and retrieval of archives. This final project aims to design and build an e-archive information system based on Microsoft Access in handling inactive records in the Public Works and Spatial Planning Office in Malang. Inactive archive data used is the type of KRK archive (Description of City Plan) in 2016. The final project method used is Waterfall which includes stages: requirements (requirements analysis), system design, Coding and Testing, program implementation, maintenance. The result of this final project is the design of application programs and applications that have been built can be used as an alternative media for handling electronic records in Malang City DPUPR with the benefits of speed, ease and accuracy.
Visualization of Membership Distribution in Strings Using Heat Maps

Grammar inference methods allow us to create grammars and automata based on provided data. Those automata can be utilized as classifiers for yet unknown strings. Fuzzy sets theory allowed the implementation of a gradual level of strings’ membership and made effective error handling feasible and automata classifiers more applicable in real-life tasks. In this paper, we reversed the currently existing approach - instead of focusing on the whole string membership, we made an approach to determine membership distribution throughout string letters and visualize it using a heat map.
LibGuides: Library Technology: Getting Started

This guide contains a quick-start guide, FAQ, and policies for checking out and using Chomebooks and WiFi Hotspots.
The technological innovation of the blockchain and its impact on the energy sector

The blockchain application is a technological innovation that promises to revolutionize the way to negotiate the raw materials of the oil sector, through the use of cryptographic techniques that allow the streamlining of complex transactions that are being applied in trade and business. Companies can use a new generation of transactional applications in a safe and immediate way, based on the concept and application of blockchain technology, allowing accelerating the time to value for business and business initiatives. The objective of this article is to generate reflective analysis and discussion, through the combination of an analytical methodology, structural-causal, on technological innovation called blockchain, its application and repercussions, which have the capacity to improve transactions in the energy sector thanks to its decentralized and incorruptible system. At the present, innovation and technology are important instruments to establish improvements in the growth and economic development of the energy sector, the main foundation of the global economy in many respects, since this sector is strategic for reasons of national security in all the countries of the world.
Wolfgram Subject Guides: Wolfgram eBook Collections: eBooks at Wolfgram

This guide features eBooks in the Wolfgram Memorial Library collection that are available using your Widener University proxy login. Collections are subject to change, please let the librarians know if any of the links are not working.
LibGuides: Technical Support: Printers

Get answers to your tech questions. Technical support for students and staff at Olds College is provided by the Learning Commons Service Desk and the Information Technology Department.