Reviewerly/exHarmony huggingface dataset:
Interpretation of Best Medical Coding Practices by Case-Based Reasoning—A User Assistance Prototype for Data Collection for Cancer Registries

In the fight against cancer, cancer registries are an important tool. At the heart of these registries is the data collection and coding process. This process is ruled by complex international standards and numerous best practices, which can easily overwhelm (coding) operators. In this paper, a system assisting operators in the interpretation of best medical coding practices and a short evaluation are presented. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system answers coding questions from operators and provides a partial explanation for the proposed solution.
Comparison of ATCOR Atmospheric and ELM Linear Empirical Correction Models Applied to WorldView-2 Images

The use of remote sensing images for the characterization of the coastal marine ecosystems requires the prior removal of the atmospheric effects, which can be done in a semi-automated manner, by the use of algorithms based on alternative assumptions contained in the processing tools for different software packages. The main objective of this study was to statistically compare the spectral behavior of the coverages contained in an high-resolution WorldView-2 image atmospherically corrected according to the ATCOR and empirical linear models (ELM), using field spectroradiometry conducted in the insular areas of the archipelago of San Andres and Providence. The ATCOR correction model was applied through the PCI 2015 Geomatics software; regarding the ELM model, the ENVI 5.2 software was used. For the spectral comparison four (4) types of coverage were selected (vegetation, reef formations, beach sand and submerged sandbank), with twenty (20) replicas each, for a total of eighty (80) sampling points distributed in a stratified way in the image. The statistical results showed a linear correlation greater than 0.9 between the reflectance values for each of the bands (Blue, Green, Red and NIR-1) and indicate that both models of the atmospheric correction have a high capacity to eliminate the atmospheric effects present in this type of images. However, there are minor significant differences between the middle quadratic errors in the reflectance values for each band of the corrected images.
When disruptive meets streamline: international standardization in blockchain

The emergence of blockchain may transform the way we work, operate and interact. Through the use of distributed ledger technology, blockchain challenges the fundamental of any business model built around middlemen and centralization, while ensuring anonymity, market confidence and trust. Depending on the manner they are structured, blockchains have the advantage of lowering entry barriers; transaction costs and information asymmetries. While the jury is not out yet as to the really disruptive features of the new technology, it is quite clear that blockchain has the traits necessary to alter the way sectors such as health, business and financial services or government services operate. For that to occur, a common vernacular would need to be created. Standardization can successfully offer such vernacular, which could constitute the foundations for enhancing market confidence around the new technology. Against this background, this chapter offers an analysis of recent developments on standardizing blockchain at the international level. More specifically, it discusses the focus areas on which international standardization within the International Organization for Standardization (ISO) can be meaningful and indeed crucial if this technology is to benefit from rapid expansion. These notably include security, privacy and overall resilience.
Subject Guides: PSYC 465 (Liu): Experimental Psychology: Develop A Hypothesis

Research Guide for Dr. Liu's section of the PSYC 465 course How to use exploratory research to develop a researchable hypothesis
Optimization of energy consumption in cloud computing datacenters

Cloud computing has emerged as a practical paradigm for providing IT resources, infrastructure and services. This has led to the establishment of datacenters that have substantial energy demands for their operation. This work investigates the optimization of energy consumption in cloud datacenter using energy efficient allocation of tasks to resources. The work seeks to develop formal optimization models that minimize the energy consumption of computational resources and evaluates the use of existing optimization solvers in testing these models. Integer linear programming (ILP) techniques are used to model the scheduling problem. The objective is to minimize the total power consumed by the active and idle cores of the servers’ CPUs while meeting a set of constraints. Next, we use these models to carry out a detailed performance comparison between a selected set of Generic ILP and 0-1 Boolean satisfiability based solvers in solving the ILP formulations. Simulation results indicate that in some cases the developed models have saved up to 38% in energy consumption when compared to common techniques such as round robin. Furthermore, results also showed that generic ILP solvers had superior performance when compared to SAT-based ILP solvers especially as the number of tasks and resources grow in size.
The three big problems of India's biggest minority – South Asia Citizens Web

The Telegraph, October 25 , 2008 A Triple Tragedy: Muslims in India have to contend with three major problems An influential editor from Delhi, visiting Bangalore, hosted a dinner for some local…
Dynamic Software Management practices using Genetically Augmented Neural Networks

The aim of research is to investigate real time projects and the utilisation of Ppc software packages for educational institutions. The main motivation behind the study is to resolve the scheduling problem in Ppc software projects, which is considered useful for students' curriculum. The scheduling problem is been a prominent issue in software projects, which creates a trade-off between project duration and skills. Hence, this work removes the trade-off between project duration and skills using genetic augmented neural network algorithm (GANN). The process runs in a structured way to obtain a better solution in software project duration over education sector. The result with GANN over software validation seems flexible and accurate and can work as a flexible tool for automated software management practices.
Informal counter messaging:The potential and perils of the informal counter messaging space

Counter messaging has been heavily criticised, not least on the grounds of effectiveness. Whereas current debates are focused on the role of government and large organisations in developing and disseminating counter messages, this paper argues that such approaches overlook the informal production of counter messages. Recognising the appetite for ‘natural world’ content among those engaged in counter messaging, this paper highlights some of the potential benefits of informal approaches to counter messaging. At the same time, the paper also acknowledges the risks that may result from closer working between counter messaging organisations and informal actors.
Human age classification using appearance and facial skin ageing features with multi-class support vector machine

Human age classification via face images is not only difficult for human being but also challenging for a machine. But, because of potential applications in the field of computer vision, this topic has attracted attention of many researchers. In this paper, a novel two stage age classification framework based on appearance and facial skin ageing features with multi-class support vector machine (M-SVM) is proposed to classify the face images into seven age groups. Appearance features consist of shape features such as, geometric ratios and face angle and facial skin textural features extracted by using local Gabor binary pattern histogram (LGBPH). Facial skin ageing features consist of facial skin textural features and wrinkle analysis. The proposed age classification framework is trained and tested with face images collected from FG-NET ageing database and PAL face database and achieved greatly improved age classification accuracy of 94.45%.
Festival of Youth Enterprise - Forth Valley Fringe Event

Forth Valley’s Fringe event, as a part of the Festival of Youth Enterprise, is a day of inspirational speakers & enterprise challenges to inspire S3 students from schools across the Forth Valley region
Systematic barriers to technology development in Nigeria: a literature review

This paper conducts an intensive literature review on systematic barriers to technology development in Nigeria. The review suggests institutional challenges and instability that limits technology development and knowledge diffusion in Nigeria. In addition, the review reveals increasingly prominent role performed by intermediaries by providing technologies to firms within Nigeria. The findings of this article shows that systematic barriers to technology development in Nigeria includes: weak policy initiatives for technology development, poor technology outputs by firms, inadequate financial support, weak collaboration between universities, research institutes and firms. Factors such as state of infrastructure, absorptive capacities, cost of technology development activities and ineffective policies hinder technology development in Nigeria. This paper therefore suggests policy measures to facilitate interaction among actors and institutions to minimise infrastructural, financial and bureaucratic burdens and enhance absorptive capacity. The contribution of this paper can enable researchers re-conceptualise peculiarities of actor involved in technology development in Nigeria.
Intellectual property rights in a digital environment: an EU-widemapping of available legislative enforcement measures

This chapter focuses on legal interpretation, reflecting on policy options between pluralism and harmonisation at two separate levels: (1) the desirability of establishing, or not, further harmonisation of interpretative rules, criteria and praxis in IP law; (2) whether internal harmonisation or systemic coherence between different areas of law and regulation that affect the same object or legal fact is a desirable interpretative objective in IP law. The point of departure for the analysis is biomedical innovation and digitalisation, using as examples technologies such as synthetic biology, 3D printing, and gene editing that present a multitude of horizontal challenges and consequently an opportunity for debating policy choices between ‘functional pluralism’ or ‘systemic coherence’. It is argued that emerging technologies do not necessarily require legal coherence, but systemic coherence can play an important role in legal responses to global technology-induced business models and social phenomena.
Bitcoin drawn to the gap

Bitcoin step by step is going down to the opening of the gap as it is tempted to test it really bad. Prive has hovered for a couple of hours near the 1H 200EMA (the blue area) and formed a resistance at $8519.43 failing as mentioned previously to breac
GRAPHICAL PASSWORD AUTHENTICATION SYSTEM

Most Internet apps still establish user authentication with a conventional text-based password in today's environment.Security researchers have long sought to create a password-based system that is both safe and simple to use.On the one hand, there are password management applications that make it simple to generate site-specific strong passwords from a single user's password to reduce the memory strain brought on by having many passwords.To increase the security of applications, we provide degrees of authentication, including textual as well as visual.User will choose username and password at text phase registration.This is done by comparing the traits to data in a database.If the biometric data from the two samples match, authentication is confirmed.
IMPLEMENTASI KURIKULUM 2013 EDISI REVISI DALAM PEMBELAJARAN MEMBACA PUISI (STUDI KASUS DI KELAS X IPS 1 SMA NEGERI 1 KARANGANYAR)

&lt;em&gt;This research is a qualitative research with case study approach. The population in this study were class X students of SMA Negeri 1 Karanganyar. The research sample was students of class X IPS 1 with purposive sampling sampling technique. Data sources include events, informants, and documents. Data collection techniques such as observation, interview, and document analysis. The data validity test consists of triangulation of data sources, method triangulation, and informant review. Data analysis technique is interactive model of analysis. The results of this study include: (1) teachers' perceptions of the implementation of the Curriculum 2013 Revised Edition on learning to read poetry is good; (2) instructional planning is prepared in accordance with Permendikbud Number 22 Year 2016; (3) the implementation of reading poetry learning works well; (4) assessment of learning has not been done effectively; (5) obstacles in the form of: (a) limited face-to-face learning time in semester 2; (b) the implementation of a less effective learning assessment; (c) not all students have the talent to read poetry and students find it difficult to find the atmosphere of poetry; (d) subjectivity in assessing literary learning; (6) efforts in the form of: (a) providing structured and unstructured tasks; (b) the use of tasks in group discussion so that the assessment of poetry reading can still be carried out in its entirety; (c) students are required to frequently see references to reading poetry from youtube; d) making assessment criteria.&lt;/em&gt;
Verifiable data hiding scheme with tamper detection

Traditional digital image authentication is usually based on signature or fragile watermarks. This performs authentication without any secret hidden data. Until now, many image authentication schemes with error detection based on watermarks or signatures have been proposed. Tampering attack can be detected but the areas tampered with cannot be determined for these schemes. In order to improve this shortcoming, a verifiable data hiding scheme is proposed for digital images in this paper. The main idea of the proposed scheme is combining multi-bit encoding function and multi-group data hiding scheme to increase embedding capacity and strengthen security with parity check to verify the tampering of digital images having embedded secret messages. Therefore, there are three major contributions in our proposed scheme. First, it can achieve image tamper detection and find what has been modified. Second, it resists collage attack. Third, it can increase the embedding capacity. These contributions are discussed according to experimental results. The proposed scheme includes a high security to reduce detection of hidden data and the MSE analysis also proves this scheme has good image quality.
Efficient extraction algorithm for local fuzzy features of dynamic images

Aiming at the poor extraction effect of the current extraction algorithm for local fuzzy features of dynamic images and the low extraction accuracy, a new algorithm based on FAST corner is proposed to extract the local fuzzy feature of dynamic images efficiently. Through analyzing the mode distortion existing in the local fuzzy features of dynamic images, and processing the spatial domain of dynamic images by using point processing and neighborhood processing, and processing the image frequency domain by filtering, the preprocessing of dynamic images and the effect of local fuzzy feature extraction of dynamic images are improved. On the basis of this, aiming at the shortcomings of FAST corner extraction of local fuzzy features of dynamic images, this paper puts forward the idea of algorithm optimization, and analyzes the realization process of the improved algorithm to achieve the algorithm optimization processing and complete the local fuzzy feature extraction of dynamic images. Based on the least squares method, the inaccurate local fuzzy features in the dynamic images are removed to ensure the accuracy of feature extraction. Experimental results show that the proposed algorithm can accurately extract the local fuzzy features of dynamic images, and the extraction results are better.
Efficient systolic multiplications in composite fields for cryptographic systems

Multiplications in finite fields are playing a key role in areas of cryptography and mathematic. We present approaches to exploit systolic architecture for multiplications in composite fields, which are expected to reduce the time-area product substantially. We design a pipelined architecture for multiplications in composite fields \begin{document} $GF({({2^n})^2})$ \end{document}, where \begin{document} $n$ \end{document} is a positive integer. Besides, we design systolic architectures for multiplications and additions in finite fields \begin{document} $GF(2^n)$ \end{document}. By integrating main improvements and other minor optimizations for multiplications in \begin{document} $GF({({2^n})^2})$ \end{document}, the non-pipelined versions of our design takes \begin{document} $8n+4$ \end{document} AND gates and \begin{document} $8n$ \end{document} XOR gates to compute multiplications with the executing time of \begin{document} $nT_{AND}+4nT_{XOR}$ \end{document}, where \begin{document} $T_{AND}$ \end{document} and \begin{document} ${T_{XOR}}$ \end{document} are delays of AND and XOR gates respectively; with the aid of pipelining, the pipelined version of our design has a throughput rate of one result per \begin{document} $2nT_{XOR}$ \end{document}. Other words, the time complexity and area complexity of our design are \begin{document} $O(n)$ \end{document}. Thus, the complexity of time-area product of our design is \begin{document} $O(n^2)$ \end{document}. Experimental results and comparisons show that our design provides significant reductions in executing time and area of multiplications.
Workplace Impression Management through pleonastic English words/phrases in email communication? Evidence from India

The purpose of this paper is to examine how Indians manage impressions at the workplace through pleonastic English words/phrases in e-mail communication. A pilot study was conducted to identify the major courteous words frequently used in e-mails. It was carried out through focused interviews with 20 participants. Information obtained in qualitative research was summarised and subsequently used in creation of the questionnaire for the quantitative research purposes. The quantitative research included data collected from questionnaires distributed amongst 501 participants. This study establishes that usage of pleonastic English words/phrases in e-mail by the Indians is a crucial element of managing impressions. Demographics like: gender, type of organisation, age group also affect the usage of pleonastic English words/phrases. Pleonasm is an important rhetoric device, and e-mail is a vital part of written communication, yet few studies have examined the use of pleonasm in e-mails. While people might seem very task-oriented in their communication, this study shows that their everyday e-mail-writing practices play an important role in the process of leaving imprints on the receiver and also maintaining relationships by forming the right impressions.
Causes of compositional diversity in the olivine melilitites of Namaqualand-Bushmanland, South Africa

One of three major provinces of mafic alkaline diatremes intruded on the southwestern African margin during Late Cretaceous-Early Tertiary time, the numerous olivine melilitite pipes of Namaqualand-Bushmanland form a linear swarm extending roughly 250 km NE from the west coast of South Africa near Garies.The Namaqualand melilitites may represent the southwestemmost extremity of an even longer (-500 km) magmatic lineament comprising kimberlites from the Pofadder, Border/Orange River and Rietfontein areas.Limited radiometric dating indicates that the intrusions show a rough age progression (56-77 Ma) with ages generally decreasing toward the coast (Moore and Verwoerd, 1985).
LibGuides: Unlocking Local Public Library Collections: Access with Your Library Card

This guide will walk you through signing up for an library card from NYPL, BPL, and QL, and will highlight a number of online resources as well as Grab & Go services available now from each library system.
PENINGKATAN HASIL BELAJAR MELALUI PEMBELAJARAN PBL PADA SISWA SMPN 1 TEMPEH

The aim of this study is to use a problem-based learning model to improve student learning outcomes in science subjects. SMPN 1 Tempeh is the site of study. Class VII-E was the test sample. The action research approach was used in this study. The data collection method was put to the test. Regular test questions were included in the study's instrument. Excel is used to validate data. Types of essay exams (objective description). According to the calculations, the mean value of cycle I was 81.05 and the mean value of cycle II was 94.74, meaning that cycle II's learning outcomes were higher than cycle I's, with a 14.45 percent improvement in learning outcomes. Finally, the student-centered PBL learning model, in which students find problems and solve them, will help students develop their science learning outcomes in energy content.
New Object Tracker Based On Adaptive Intensity Models of Object and Its Surroundings

New developments on the object tracker topic are needed, so that reliable tracking systems can have value for industrial applications, like surveillance and assembly monitoring.This paper presents a new object tracker algorithm based on adaptive models of the intensity probabilities of the object and its surroundings.Using the tracked object contour in the previous frame and the object path allow to estimate a narrow search area, in which contours with high object probability are combined, after masking pixels with high surrounding probabilities away.Rules about the object contour area ensures that the tracked contour doesn't drift away between frames or spreads into the surroundings.If the tracking is lost, the contour prediction in combination with the surrounding estimation takes over, filling the gaps until the object intensity-based tracker leads the tracking again.The proposed tracker was contrasted against three of the available trackers in OpenCV (i.e.KCF, CRST and MOSSE).Their performances were evaluated on two different applications (i.e.drone tracking and part tracking in an assembly cell) based on the Intersection over Union (IoU)-metric and their processing time.The obtained results show that the proposed tracker is faster and more accurate.
Managing Object Oriented Software Understandability: A Design Perspective

Estimating understandability of object oriented software early in the development process; particularly at design phase greatly reduce the overall development cost and effort. To design and deliver quality products inside time and financial plan understandability plays a very important role. This paper shows the need and significance of understandability at design phase and build up a multivariate linear model “Understandability Estimation Model” for Object-Oriented Design. Developed model estimates the understandability of class diagrams in respect of their internal design properties. In this research paper an attempt has been made to propose an understandability estimation framework as a first contribution. A relation between object oriented design properties and understandability has been established as a second contribution. In third contribution, despite the fact that, in order to estimate class diagram’s understandability the researcher further developed multivariate models. In conclusion the proposed Understandability models have been authenticated via experimental test.