Reviewerly/exHarmony huggingface dataset:
Law and Judicial Application of Digital Forensic Evidence in Nigeria

The development of information & communication technology has left the Nigerian polity to the application of technology infrastructure to daily activities.In essence, disputes arising from these activities may ordinarily not be effectively settled without applying electronic evidence in proceedings before the courts.The skills and knowledge of electronic evidence require the ingenuity of forensic experts or examiners for the purpose of bridging the gap that may arise in the mind of the courts.Does the Nigerian Law accept forensic expert evidence?Is every evidence expert evidence?Are there set down conditions before the courts for forensic expert evidence to be accepted or applied to proceedings before the courts?What nature of cases requires forensic evidence?This paper will demonstrate how information and communication technology has resulted in the application of digital devices by Nigerians and the nature of the impact it has .
Research Guides: Downloading e-books from the library collection: Home

This guide provides instructions on how you can download e-books in the library collection from several different platforms.
Controlling Access to Schools and Classrooms | GV Lock

One of the top concerns in our nation these days is the safety of students. We can all agree that security measures in schools and on college campuses ...
OPTIMASI PENJADWALAN MATAKULIAH MENGGUNAKAN ALGORITMA GENETIKA DI FAKULTAS TEKNOLOGI INFORMASI UNIVERSITAS HASYIM ASY’ARI

Scheduling is a process schedule or entering data into a schedule. In academic sector, scheduling is used toschedule course subjects. In the Faculty of Information Technology Hasyim Asy’ari University schedule is madefor the study programs for Bachelor of Computer Science (S1), Bachelor of Information System (S1), and AssociateDegree of Information Management (D3). However there are 4 students academic years in each degree or studyprogram. The room provided is only 5 rooms and lecture time starting from Saturday to Wednesday with lecturehours starting at 08.00 a.m until 6 p.m. Furthermore the scheduling still made by using Microsoft Excel. The casesoften cause a schedule crash. Therefore it is necessary to use an application of scheduling optimation in order tominimize the schedule crash. Optimization problems often solved using genetics algorithm. Genetics algorithm ispretty good to used in scheduling the course subjects because it is able to finish multi-criteria cases and multiobjectivesmodeledasbiologyandevolution.Theresultresearchshowsthattheschedulethathasbeenmadehasanerrorvalueof21,6%withfitnessvalueof0,05andthenumberofschedulecrashis19crashes.Thefitnessvalueisresultedfromthecombinationofgeneticsparameterthatisthepopulationsizeis 100, crossover 0,7,mutation 0,3 and generation 500. The schedule settlement cannot reach a perfect value because in this case theclassroom number is this scheduling is very limited, that is only 5 classrooms. Keywords: Genetics Algorithm, Courses, Optimation, Scheduling
(Invited) Wearable Sweat Sensors for Personalized Health Monitoring

The rising research interest in personalized and precision medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this talk, I will introduce fully-integrated flexible biosensors for multiplexed in-situ perspiration analysis, which can selectively and accurately measure a wide spectrum of sweat analytes (e.g., metabolites, electrolytes, heavy metals, drugs, and other small molecules). This platform allows us to gain real-time insight into the sweat secretion and gland physiology. I will also demonstrate an integrated wearable sweat extraction and sensing system which can be programmed to induce sweat on demand with various secretion profiles. To demonstrate the clinical value of our wearable sweat sensing platform, human subject studies were performed toward fitness monitoring, physiological monitoring, disease diagnosis and drug monitoring. These wearable and flexible devices open the door to a wide range of personalized monitoring and diagnostic applications.
LibGuides: Early Childhood Literacy Support: Home

Reading is an essential skill for success in school and later in life. Developing early literacy skills makes it easier for children to learn to read.This LibGuide will be helpful for parents, teachers, media specialist, libriarians, or anyone helping a c
LibGuides: Library Tutorials: For Faculty

Online videos and step-by-step tutorials to use the Library resources and complete research assignments. How to use library resources with your students, link or embed resources, etc.
PROPOSAL FOR THE DESIGN OF A PABX USING FREE HARDWARE AND SOFTWARE

This work presents the design of a PABX (Private Automatic Branch Exchange) using free hardware and software as a technological solution for the automation of telephony in small companies. The design consists of two fundamental parts: an interface card with the PSTN (Public Switched Telephone Network), controlled by Arduino Mega 2560 and configuration software with a graphical user interface that operates on the server. The designed software allows interaction with the hardware, as well as the easy configuration of the FreeSWITCH telephony engine to execute the routing of calls, the creation of IVR (Interactive Voice Response) menus, user management, among other functions. The exchange of information between hardware and software is described using a serial communication protocol designed to carry out the various telephone operations. Finally, it is demonstrated through measurements and tests that the design meets the required functionalities.
Esophageal Abnormality Detection from Endoscopic Images Using DT-CDWT and Persistent Homology

We propose a new method for detecting esophageal abnormal regions from endoscopic images based on the features of the dual -tree complex discrete wavelet transform (DT-CDWT) and persistent homology. We only have to detect normal regions exactly to detect an abnormal region. More precisely, we perform two steps to detect normal regions. In the first step, we use the feature of color to detect normal regions. To this end, an input endoscopic image is converted into CIEL*a*b* color spaces, and a composite image is created from the a* and b* components. In the second step, we detect normal regions based on topological features. We divide the composite image into small blocks. We obtain the features of zero- and one-dimensional holes by applying the DT-CDWT and persistent homology to each block. We calculate the lifetime using the birth and death times of the holes. Finally, we detect the normal region from the endoscopic image based on the lifetime. We describe the proposed method in detail and the experimental results show that the method can assist doctors for endoscopic diagnoses.
LibGuides: Academic Success: Basics

This guide covers some of the technologies and resources covered in the 1L Academic Success course
UMP alumni urged to contribute ideas

The alumni of Universiti Malaysia Pahang (UMP) are urged to continue to contribute cultural ideas in the university for it will help the current Secretariat of Culture and Arts UMP maintain the heritage on campus. The presence of 23 alumni from Alumni Chapter (Culture) was the result of the initiative taken by the Centre for Sports and Culture UMP via the first organisation of a programme Sepetang Bersama Alumni (Kebudayaan) UMP at the Istana Hotel Kuala Lumpur on 21 December 2019.
LibGuides: K-12 Remote Learning: Research

This libguide covers research, resources, and media coverage on K-12 remote learning during the COVID-19 pandemic school closures. It is aimed at families and educators in Illinois and Missouri.
LibGuides: Getting Started Using the Library (Support during COVID-19) : Request Books & Scanned Chapters

This guide will help you learn how to access library resources during the COVID-19 disruption.
Development of marketing activities in preschool educational organizations

Key words: image of the world, image of the future profession, higher educa onal ins tu on, secondary educa onal ins tu on.
Accelerating Convolutional Neural Network Training for Colon Histopathology Images by Customizing Deep Learning Framework

Cancer diagnose based on the histopathology images is still have some challenges.Convolutional Neural Network (CNN) is one of deep learning architecture that has widely used in medical image processing especially for cancer detection.The high resolution of images and complexity of CNN architecture causes cost-intensive in the training process.One way of reducing the training processes time is by introducing parallel processing.Graphics Processing Unit (GPU) is a graphics card which has many processors and has been widely used to speed-up the process.However, the problem in GPU is the limitation of memory size.Therefore, this study proposes alternative ways to utilize the GPU memory in the training of CNN architecture.Theano is one of middle-level framework for deep application.GPU memory is a critical task in training activity and will affect to the number of batch-size.Customizing memory allocation in Theano can be conducted by utilizing library called 'cnmem'.For training CNN architecture, we use NVIDIA GTX-980 that accelerated by customizing CUDA memory allocation from 'cnmem' library located in 'theanorc' file.In the experiment, the parameter of cnmem are chosen between 0 (not apply cnmem) or 1 (apply cnmem).We use image variation from 32x32, 64x64, 128x128, 180x180 and 200x200 pixels.In the training, a number of batch-size is selected experimentally from 10, 20, 50, 100 and 150 images.Our experiments show that enabling cnmem with the value of 1 will increase the speed-up.The 200x200 images show the most significant efficiency of GPU performance when training CNN.Speed-up is measured by comparing training time of GTX-980 with CPU core i7 machine from 16, 8, 4, 2 cores and the single-core.The highest speed-up GTX-980 obtained with enabling cnmem are 4. 49, 5.00, 7.58, 11,97 and 16.19 compare to 16, 8, 4, 2 and 1 core processor respectively
Tacoma Community College Library: Creative writing resources: Poetry

This guide provides starting-point resources for students in creative writing courses (ENGL 276, ENGL 278, and ENGL 279). Access books, e-books, and digital resources for support writing poetry.
LibGuides: Incorporating Sources Ethically: Incorporating Sources Ethically

How to ethically incorporate sources into your writing by paraphrasing, summarizing, and quoting.
Machine learning algorithms and techniques for sentiment analysis in scientific paper reviews: a systematic literature review

This work has been supported by IViSSEM: POCI-01-0145-FEDER-28284, COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope:UID/CEC/00319/2013.
Using Microsoft Excel in creating software for libraries

Nowadays, software applications are entwined in every area of life. It is almost inevitable. In addition to helping businesses, software’s also facilitates over jobs and services, such as: in libraries. These software’s are created through high programming languages, namely Java, C#, Python etc. Nonetheless, we can also create them while using applications from the Microsoft Office Package. One of these applications is Microsoft Excel. It has all the tools we need. This software application is created through Microsoft Excel for the sole reason that it is familiar to the majority of users, one of whom are librarians.&#x0D; The application comprises five pages: Content,Book Fund, Remaining Book Fund, Readers and Realization. The link between these pages will be done by numerous different functions, such as: if, sumif, sum, vlookup, etc.&#x0D; &#x0D;
A Secure Chaotic Framework for Medical Image Encryption using a 3D Logistic Map

Information security and privacy are of utmost importance in transmitting, storing and preserving medical images. In this paper, a secure chaotic framework for medical image encryption is presented, in order to address existing defect in chaos-based image encryption algorithm. The proposed algorithm does the following: a 2D logistic adjusted sine map (2D-LASM) is utilized to generate random number with pixel format, the generated number are then inserted on a plain-image surrounding, which is then divided into non overlapping sub blocks. The scrambling sequence were generated using a 3D logistic map, before image pixel blocks scrambling and diffusion were performed on each sub-block of pixels  using the generated scrambling sequence. To verify the efficiency of the proposed algorithm, a number of simulations were carried-out. Based on the results obtained, the algorithm recorded an average score of 7.9998 for information entropy while for number of pixel change rate (NPCR) and unified average changing intensity (UACI) 99.6261% and 33.4830% respectively on an average scale. The proposed algorithm showed high robustness, sensitivity and resistance to all forms of differential attack.
Rule Representation in Explicit Categorization

Author(s): von Meer, Stella Sophia | Advisor(s): Ashby, Gregory F | Abstract: One defining characteristic of human behavior is the ability to select an appropriate action in an entirely novel situation. How abstract rules are represented in the brain, and how these representations operate on internal models of the world to generate flexible rapidly optimized behaviors remains an open question in neuroscience as well as computer science. The hallmark of quickly optimized flexibility inherent to explicit behavioral rules has lead to the assumption that these rules are based on high level abstractions. In the recent past, behavioral measurements in the human psychophysics literature were linked to predictions at the processing level and the convenient mathematical construct of a decision criterion has precipitated in several cognitive process models. However, the assumption that higher order decision processes involve comparisons to some internal criterion is not trivial and was investigated. This thesis provides evidence to falsify the criterion as a processing component in human decision making and offers fundamental insights to reverse engineer decision processes in the brain. Cognitive flexibility and rule guided behavior appear to rely on phylogenetically advanced extrapolation processes that are mediated by dynamic feed-forward and feed-back circuits, which continually update internal and external information to support goal directed behavior.
Research Guides @ Fordham: Digital Collections Metadata: Controlled Vocabularies

This guide's primary function is to explain what metadata is and what metadata should be used for Fordham Libraries' Digital Collections. How to standardize your metadata
MS4 A NOVEL ARTIFICIAL INTELLIGENCE ALGORITHM OF SYNTHETIC SAMPLING FOR BOOSTING ACCURATE MACHINE-LEARNING PREDICTION OF INFREQUENT HEALTH OUTCOMES

Real-world clinical health outcomes are usually not balanced or evenly distributed. For example, the incidence of severe adverse drug event is often less than 5%. Imbalanced classes of outcome create significant bias in developing machine-learning (ML) prediction models. We developed a novel artificial intelligence (AI) algorithm (SynSam) that generates synthetic samples to boost samples with infrequent health outcome occurrence. The algorithm can handle clinical health data with both continuous and categorical predictors. In this study, we compared a ML model prediction performance with the SynSam sampling to random over-sampling (bootstrap), and to no over-sampling (naïve). We simulated a virtual patient cohort (N=50,000) with a 1% adverse drug event occurrence. Using NHANES data we also assembled a cohort of adults who suffered from asthma (N=6177) for the prediction of emergency department visit due to asthma (rate = 9%). With split-validation design, we set aside 20% random sample of each cohorts as an independent validation dataset and used the rest of 80% for prediction model training with the Extreme Gradient Boosting algorithm. We applied the 5-fold cross validation for final model selection. We compared the performance of the final prediction model with respective over-sampling approaches for the validation datasets. In the virtual patient cohort, the naïve model correctly predicted the events 55% of the time (sensitivity) while predicting all non-events (specificity). Application of bootstrap increased sensitivity to 70%. The SynSam approach increased the sensitivity to 90% while maintaining the specificity at 96%. In the NHANES cohort, the naïve model had a 19% sensitivity and 95% specificity. The bootstrap approach increased the sensitivity to 24%. The SynSam approach achieved the sensitivity of 51% with a specificity of 88%. The AI-based SynSam approach may be useful to boost ML prediction model performance for infrequent health outcomes.
Android Microphone Eavesdropping

This research investigates the possibility for an Android application to record audio without the user knowing. The researcher proved this to be possible in earlier versions of Android. However, Google released Android 9.0 (Pie) and stated that with this update, apps running in the background cannot access the microphone. This broadened the scope of the research and the remainder of the time was spent attempting to circumvent this change. Through the development of a successful eavesdropping app prototype, the results revealed that the microphone can be accessed in the background of a device running Android 9.0.
VirAAL: Virtual Adversarial Active Learning

This paper presents VirAAL, an Active Learning framework based on Adversarial Training. VirAAL aims to reduce the effort of annotation in Natural Language Understanding (NLU). VirAAL is based on Virtual Adversarial Training (VAT), a semi-supervised approach that regularizes the model through Local Distributional Smoothness. With that, adversarial perturbations are added to the inputs making the posterior distribution more consistent. Therefore, entropy-based Active Learning becomes robust by querying more informative samples without requiring additional components. The first set of experiments studies the impact of VAT on NLU tasks (joint or not) within low labeled data regimes. The second set shows the effect of VirAAL in an Active Learning (AL) process. Results demonstrate that VAT is robust even on multitask training where the adversarial noise is computed from multiple loss functions. Substantial improvements are observed with entropy-based AL with VirAAL for querying data to annotate. VirAAL is an inexpensive method in terms of AL computation with a positive impact on data sampling. Furthermore, VirAAL decreases annotations in AL up to 80%.
DSC Library: Online Communication: Falcon Online Discussion Boards

This guide is designed to provide students with guidance on the proper forms and protocols for communicating online both in college and professionally
Designing Electronic Didactic - Based A Gamafication Environment to Develop Skills of Electrical Engineering

The Current Research Aims At Designing A Gamafication - Based Electronic Didactic Environment In Order To Develop Skills Of Electrical Engineering For Students Of Industrial Education Besides Outlining The Impact Of The Electronic Environment On Developing The Above Mentioned Skills Because Of The Low Level Of Those Students Regarding Their Skillful And Cognitive Aspects. To Achieve The Research Aim, The Researcher Depended On The Developmental Method, And Designed An Accumulative Test And A Note Card. After The Experimental Application, It Was Clear That There Are Differences With Statistical Differences Between The Pre And Post Application At The Benefit Of The Post One With Respect To The Cognitive Attainment And Skillful Aspect Of The Electrical Engineering.
Rowan Medical Libraries Guides: LibKey at Rowan Medical Libraries: LibKey Nomad

LibKey is a service from Rowan University Libraries that simplifies access to library-licensed and open access journal articles. This guide describes three related services: LibKey Link, LibKey Nomad, and LibKey Discovery. A browser extension that makes retrieving articles from Rowan subscribed and open access journals easy. (HIGHLY RECOMMENDED)
EVALUASI SISTEM INFORMASI RAWAT JALAN PADA RUMAH SAKIT MENGGUNAKAN FRAMEWORK COBIT 4.1

Brayat Minulya Hospital is a privately owned hospital engaged in health care services for the general public. In the patient service process, the hospital has used an information system called Graphasoft which is used for outpatient and inpatient services. Currently the outpatient information system (SiRajal) has been running computerized, where all the processes associated with the patient have been input into the system, but there are still obstacles with the slow performance of patient registration on SiRajal and not yet the implementation of monitoring and evaluation process on SiRajal so it is not known whether the system runs in accordance with the hospital's business plan. From these problems, it is necessary to evaluate the outpatient information system using a method that refers to the IT Governance standard that is using the COBIT framework (Control Objectives For Information And Related Technology). The COBIT framework used is version 4.1, with the domain focus of ME (Monitor and Evaluate) on the ME1 subdomain (Monitor and Evaluate IT Performance). Acquisition of data to be processed taken by interview method, questionnaire, analysis of evaluation framework COBIT 4.1. The results of data analysis showed that obtained the calculation of the mean value of maturity of CO ME1 that is at maturity level 2 (Repeatable but Intuitive). still far below the expectations of management. For that recommendation of improvement of findings of the analysis of the results of the Institution is expected to make the work program appropriately, effectively and efficiently to set standards, policies, and procedures on monitoring IT performance optimally, so that SiRajal performance can run smoothly in the future.Keywords : Information System, Framework COBIT 4.1, Maturity Level
The objective static analysis of spatial errors in simulations

The Pattern Evidence Analysis Toolbox software (Found, Rogers &amp; Schmittat, 1994) has been specifically designed to take accurate spatial measurements from static handwriting traces including signatures. Forensic handwriting specialists in casework frequently encounter signatures of questionable authenticity. Some criticism has been levelled at this forensic field resulting from the lack of objective data used to draw conclusions regarding the authenticity of questioned signatures. In this study a range of spatial measure ments of 200 known signatures, collected from 10 individuals, was compared to 140 forgeries of their signatures made by 14 forgers. It was found that the forgeries as a group did display significant numbers of spatial errors when compared to genu ine signatures. The results indicate that measurement of spatial errors could be a source of information which can be used to discriminate between possible simulations and genuine signatures, and provide data on the types of errors likely to occur. Information obtained in this study has been used for the devel opment of software (Found, Rogers &amp; Schmittat, 1998), which may ultimately be practicable in the forensic environment. Purchase Article - $10