Reviewerly/exHarmony huggingface dataset:
IAM with postlogin authentication for service usage authorisation in cloud computing

To avoid any theft or manipulation of sensitive information like user profile, or to avoid any inadvertent execution of financial transactions, identity and access management of cloud service provider (CSP) need to do postlogin authentication of a user. This can be done using some randomly generated password, different from the login password. Postlogin authentication authorises user the complete access to use sensitive part or service of user's account. It can be done by: 1) sending one time password (OTP) to user over some other safe communication network; 2) throwing some challenging intelligent designs like a game for playing, quest for solving, etc. Postlogin authentication guarantees safety of user's sensitive data and services even after the theft of username and login-password. The paper outlines in brief the generic IAM process with the need of postlogin authentication within the context of cloud computing. Paper proposes variable length OTP, and some intelligent designs for postlogin authentication.
Geochemistry and Mineralogy of Clays from Ewohimi, Northern Niger Delta Basin, Nigeria

Neogene age clay samples of the Ogwashi-Asaba Formation at Ewohimi, were analysed for geochemical and mineralogical properties, using XRF, ICP-AES and XRD in order to investigate their compositional characteristics of major and trace elements. With integrated geochemical and mineralogical approach, the composition, provenance, weathering, paleo – redox and the tectonic setting under which they were formed was defined. Mineralogical analysis indicate subordinate amounts of quartz and kaolinite as the only observable clay minerals. Major oxides content of SiO 2 (56.03 – 72.84%) and Al 2 O 3 (13.63 – 22.92%) constitute over 84% of the bulk chemical compositions, indicating source rocks rich in quartz and silica-rich. Low occurrences of Na 2 O, MgO and K 2 O indicate the extent of weathering and transport, thus, suggest a continental granitic origin, possibly from the Oban Massif, east of the Anambra Basin. Although notable disparities exist in the SiO 2 and Al 2 O 3 contents of the clays in Ewohimi; the River Odu clay is more siliceous and less aluminous than the others whereas, the Asaboro clay is more aluminous than others confirming a high degree of weathering activities. Redox-sensitive trace element ratios (Ni/Co, V/Cr and V/V+Ni) indicate a predominantly oxic environments of deposition. The dominance of detrital kaolinite, the enrichment of chemically immobile elements (SiO 2 , Al 2 O 3 and TiO 2 ) and high values of Chemical Index of Alteration (CIA) suggest intensive chemical weathering of the source rocks under tropical to subtropical humid climatic conditions.
Green vs Revenue: Data Center Profit Maximization Under Green Degree Constraints

With the soaring personal and enterprise computation demands, the scale of cloud centers has been rapidly increasing, which leads to massive amounts of greenhouse gas emission. From the cloud service provider’s (CSP) perspective, profit is the key factor to maintain the development of cloud centers, which potentially conflicts with the goal of achieving green data centers for environment protection because the expensive renewable energy will add more cost. This paper addresses the problem of maximizing profit while meeting the green degree constraints for a large scale data center on renewable energy source. Taking into account of the bursty randomness of workload, time-varying electricity price and intermittent green energy, we first formulate the problem in an optimization framework with stochastic constraints for delay-tolerant workload. Then, we show how the deployment of Lyapunov optimization technique can leverage to obtain a low-complexity online solution for profit maximization by combining request admission control, workload scheduling and power management. Moreover, we adopt a non-linear submodular revenue function to optimize the throughput of the system. By decoupling the optimization function of a time average problem into three sub-problems, we solve them to obtain the optimal control strategies. Our proposed algorithm achieves a desirable profit-green tradeoff. At the end, we provide the performance bound of our algorithm, and evaluate its performance through extensive trace-driven simulations.
Research on the Model of Problem Traction Teaching in Post Education

Problem traction teaching is a kind of teaching mode adapted to post education. The paper expounds what is the problem traction teaching mode, analyzes the applicable object and implementation significance of this teaching mode, and focuses on the organizational essentials of the problem traction teaching mode.
Image-guided surgical navigation for rectal cancer surgery

Purpose: In rectal cancer, surgeons operate with a delicate balance between achieving radical R0 resection and preventing morbidity. In low and locally advanced rectal cancer positive resections margins are found in 20-30% of patients. In these cases the surgeon might clearly benefit from an accurate surgical navigation system guiding the resection plane. Here, we present a robust and innovative surgical navigation system for rectal cancer surgery and evaluate the accuracy and beneficial value of the system.
Portrait of indonesian usage in gafabaca's children's story book series; gafabaca series 1 and 2, fish series, and cat series

Talking is one and the four skills in language that is productive and active Because of them that, a lot of foreign speakers have difficulty when first learning to speak in Indonesian one problem often encountered is the limited vocabulary that is owned by a foreign speaker Many instructional media offered to increase the amount of vocabulary for speakers Asung, one of which is the media images media images can increase 400% ability of foreign speakers in remembering vocabulary in the classroom, therefore, the authors developed a media joyful learning in the form of a comic comics is a combination of pictures and words capable of arouse and excite the foreign speakers to continue to learn to speak in a way that is fun this paper will describe a form of learning berbucara who could inspire and stimulate foreign speakers as well as fun in the classroom through the comic making it easier for foreign speakers achieve the goal of learning to speak.
Cybersecurity Tips and Tools Webinar Series 2019

PDF Version DATE: Jan. 3, 2019 SUBJECT: Cybersecurity Tips and Tools Webinar Series 2019 CATEGORY: Cybersecurity Continued Education NEXT STEPS:
Modularity as a means for complexity management in neural networks learning

Training a Neural Network (NN) with lots of parameters or intricate architectures creates undesired phenomena that complicate the optimization process. To address this issue we propose a first modular approach to NN design, wherein the NN is decomposed into a control module and several functional modules, implementing primitive operations. We illustrate the modular concept by comparing performances between a monolithic and a modular NN on a list sorting problem and show the benefits in terms of training speed, training stability and maintainability. We also discuss some questions that arise in modular NNs.
Investigating The Use of Mobile –Based Technology to Enhance Service Delivery at the University of Education, Winneba, Library

The application of mobile phone technology in all aspects of our everyday life cannot be ignored in institutions and establishments including libraries. Therefore libraries in developed economies have embraced the mobile phone revolution and are utilizing them for effective and efficient services. In contrast, however, mobile - based services are not pervasive among academic libraries in Ghana. They are yet to be embraced by academic and research libraries. This paper reports findings of a survey on mobile - based library services conducted at the University of Education, Winneba. The aim of the study was to seek the views of users regarding the use of mobile phones in library services. It sought to find whether they would be interested in using such service. It also aimed at identifying perceived benefits and challenges associated with mobile- based library services. A survey design was therefore adopted for the study. The population of the study consisted of undergraduate students who patronised the library between May and June, 2017. Through systematic simple random sampling technique six hundred and eleven (611) students were selected for the study. The students involved were from different departments in the university. The questionnaire for data collection contained both closed and open-ended items. The questionnaires were retrieved right on the spot so there was a high return rate.  After going through the questionnaires 604 were found to be usable for data analysis. Data gathered was analysed using percentages and frequency counts. The possible advantages and challenges associated with mobile based library services at the library were also identified. The results of this survey indicated that users had positive attitude towards mobile- based library services. A number of relevant recommendations were made based on the findings of the study.
ANALISIS KESALAHAN EJAAN DALAM SOAL-SOAL UJIAN SEMESTER SMP NEGERI 1 LANGSA

The study, titled Analysis of Spelling Errors in questions Semester Exam SMP Negeri 1 This aims to describe the use of spelling mistakes in the semester exam questions SMP Negeri 1 Langsa and describe aspects of the dominant error occurred on such questions. The population was exam questions 2013/2014 semester of the school year about twelve. The population-based sample set of five questions, namely about Social Studies, Science, Indonesian, local content, and Religion. The samples done by purposive sampling technique. The method used is descriptive method. Data collected by the study of engineering documentation and data processing was done by using qualitative and quantitative analysis. The results of the analysis of data obtained as a whole amounted to 341 errors. EYD errors include capitalization amounts to 107 (31.38%), the use of italics totaled 15 (4.40%), use of bold numbered 3 (0.88%), the writing of said derivatives totaled 7 (2, 05%), writing the next word was 26 (7.62%), writing of the particles numbered 1 (0.29%), the writing stands totaling 4 (1.17%), the writing element uptake amounted to 20 (5.87%), punctuation usage totaled 142 (41.64%), the removal of spaces numbered 5 (1.47%), and excessive use of spaces totaling 11 (3.23%). Based on the number of such errors is the dominant use of punctuation errors.
A Combinatorial Approach to Causal Inference

The objective of causal inference is to learn the network of causal relationships holding between a system of variables from the correlations that these variables exhibit; a sub-problem of which is to certify whether or not a given causal hypothesis is compatible with the observed correlations. A particularly challenging setting for causal inference is in the presence of partial information; i.e. when some of the variables are hidden/latent. In this present work, we introduce the possible worlds framework as a method for deciding causal compatibility in this difficult setting. We define a graphical object called an possible worlds diagram, which compactly depicts the set of all possible observations. From this construction, we demonstrate explicitly, using several examples, how to prove causal incompatibility. In fact, we use these constructions to prove causal incompatibility where no other techniques have been able to. Moreover, we prove that the possible worlds framework can be adapted to provide a complete solution to the possibilistic causal compatibility problem. Even more, we also discuss how to exploit graphical symmetries and cross-world consistency constraints in order to implement a hierarchy of necessary compatibility tests that we prove converges to sufficiency.
Reply to Paraskevaidi et al.: Epithelial and microenvironment characterization is key to understanding and improving diagnoses

First, we thank Paraskevaidi et al. (1) for their kind comments and assessment of the potentially significant impact of our work (2). Their letter recognizes that our study could reduce the caseloads of pathologists/surgeons but that it may not directly benefit patients. Surgeons, pathologists, and technologists all strive to improve outcomes for patients; indeed, diagnosis is the gateway to therapy (and better outcomes). The speed and one-shot tumor and microenvironment measurement focus of our study are aimed precisely toward providing new information that is useful while being compatible with how diagnoses are actually made—via pathology.Second, Paraskevaidi et al. (1) propose that earlier detection and less-invasive tools … [↵][1]1To whom correspondence should be addressed. Email: rxb{at}illinois.edu. [1]: #xref-corresp-1-1
Design of Video Image Low-Pass Filtering Process Based on FPGA

A real-time video low-pass filter processing system is designed and implemented in this paper through VHDL language programming, applying Altera CycloneIII series FPGA as the main control chip. The changes in display quality of video signals of different bandwidths can be observed on the monitor by changing the bandwidths of the input video signals through low-pass filtering.
Statistical data mining technique for salient feature extraction

Internet-based news documents are an important source of information transmission. Large numbers of news documents from various news wire sources are available on the internet. The objective of this work is to study the existing term weighting algorithms for feature extraction and to develop an efficient term weighting algorithm for mining salient features from internet-based newswire sources. TF*PDF is the influential algorithm that satisfies the basic property of the features in news documents, i.e., frequency and thus increases the accuracy when compared to other term weighing algorithms. However, only frequency property is not sufficient for salient topic extraction. To overcome that problem, this paper presents an innovative and effective term weighting algorithm that considers position, scattering and topicality along with frequency for extracting salient events. Experimental evaluation shows that the proposed term weighting algorithm performs better than the existing term weighting algorithms in terms of coverage rate.
Evaluating the Effects of Highlighting Text Animations on the Attention Distribution of Students with Math Learning Difficulties

visualization and system design, by which the system can minimize its influence on design and analysis, and become a true free extension of human's brain and hand.
Abstract No. 512 Augmented reality for transperineal prostate procedures with smart-glasses or smartphone needle planning and guidance

The grid template based guidance method in transperineal prostate procedure is associated with limited positioning resolution and lack of needle angulation options. To overcome the limitations, and to free the operator from the constraints of a grid, a novel augmented reality system was developed that uses smart see-through glasses, a smartphone, or a tablet for needle planning and guidance in transperineal prostate procedures. The custom IR AR system was developed to display the planned needle path on the smartphone and smart-glasses’ screens, in real-time, superimposed over the patient’s anatomy. A special designed image marker registration frame with fiducial markers embedded was attached to a phantom patient perineum, and was used to orient and track the pre-procedural volumetric image with the AR system. The displayed needle plan was always referenced to the patient and independent from the physical pose of the devices. The AR feature allows the operator to continuously compare the actual needle location with the plan as well as with the superimposed anatomy and target. Multiple devices can be used simultaneously and communicate via a local network. The AR app’s on-the-spot planning function allow defining needle path at the bedside. The system was evaluated using interventional prostate phantoms with iPhone and ODG R-7 glasses. The overlay accuracy was defined as the 2D angular difference between the actual needle inserted into the phantom and the derived virtual needle on the AR device. After free-hand insertion with AR assistance, the guidance accuracy was measured by the distance between the needle tip and the target in the post CT. The overlay accuracy was 0.58±0.43º and 1.62±1.52º in iPhone and R-7 respectively. The iPhone guidance accuracy was 1.9±0.97 mm (lateral) and 1.0±0.5 mm (in-direction), the R-7 guidance accuracy was 2.8±1.4 mm (lateral) and 2.3±1.5 mm (in-direction). A custom AR system using smart-glasses and smartphone can provide accurate needle guidance and see-through-the-skin display of anatomy, needle, and targets for transperineal prostate interventions. How such devices might assist or augment standard procedures remains to be defined.
PENGARUH TENIK COMPREHENSIVE MODELLING TERHADAP MUTU LINGUISTIS, RETORIKA DAN MEKANIS PADA ARTIKEL JURNAL PENELITIAN MAHASISWA

This study was intended to test the differences between the students who were given comprehensive modeling and those who are not given comprehensive modeling concerning with their achievement of Scientific Journal Writing in English Educational Department of IAIN Surakarta. The sample consists of 34 students randomly selected from the population. Data were collected by administering the writing test and analyzed by correlated sample t-test. The result revealed that there was a significant difference between students who were given comprehensive modeling and those who were not given comprehensive modeling in their achievement of Scientific Journal Writing in English Educational Department of IAIN Surakarta. It was derived that p=.000 &gt;.005. So, the alternate hypothesis stating that the EFL students who were given comprehensive modeling have higher achievement in Scientific Journal Writing than those given conventional method was accepted. It means that the comprehensive modeling is an effective way to develop students' achievement in Scientific Journal Writing in English Educational Department of IAIN Surakarta.
Design, Build and Operation at Scale

Network Automation is important to operating a global network at scale. Automation of a complex network requires a common abstracted model for the entire transport network, intent based configuration and standardization of design and deployment rules
Glomerulus Filtration Rate (GFR) Estimation Value Using Cockcroft and Gault Equation Against Community Exposure to Mercury at Artisanal and Small Scale Gold Mining (ASGM) Area in Lebaksitu Village, District of Lebak, Banten

.
Visual automatic obstacle avoidance technology research in unmanned vehicles

In view of the problems of low obstacle avoidance and low efficiency in traditional unmanned vehicle in automatic obstacle avoidance, multi-feature fusion automatic obstacle avoidance method in unmanned vehicle is proposed. Optimise unmanned vehicle obstacle avoidance objective function, measure target obstacle distance, and calculate the braking distance. Based on this, unmanned vehicle dynamics model is established and the obstacle is located and determined. Multi-feature fusion design of unmanned vehicle visual automatic obstruction steps is made and finally the process of obstacle avoidance is analysed. The experimental results show that the use of improved visual automatic obstacle avoidance technology has certain advantages in target obstacle positioning and obstacle avoidance accuracy, which are superior to those of traditional obstacle avoidance technology.
Exploratory search over semi-structured documents

Exploratory search is an information seeking task in which users are not familiar with the specification of their information need and how to answer it and the system helps them in this regard. In this thesis, we study how metadata and structure associated with textual documents can be helpful in supporting exploratory search tasks. We first study how metadata and structure can be exploited to manage documents and support access to semi-structured documents more effectively. We define semi-structured documents as documents that beside a textual content, contain tags and other markers that separate documents into different parts such as title, body, metadata, etc. Then we study, in two case studies, how metadata and structure can help to support exploratory search tasks.
HDR Spectral Video Measurement System

This paper describes a method for measurement of HDR spectral video. In recent years, it is necessary to record images with more accurate color information in various fields such as digital archive, electronic museum, telemedicine, and so on. HDR images and spectral images are one of solutions to the problem. However, in order to acquire these images, it is generally necessary to lengthen the exposure time or replace the filter. Due to these problems, it took time and effort to acquire HDR images and spectral images. So, we propose a system that combines HDR image and spectral image by using four filters and RGB camera. In this paper, after introducing the technology of the previous research, we explain about the proposed method and finally evaluate the result.
Online training for the strengthening of mathematical pre-knowledge mediated by Khan-Academy platform

The absence of mathematical skills makes part of the formative challenges currently facing Colombian Higher Education Institutions (HEIs) Being consequently Aware of the situation, denoting from the second academic semester of 2018 the Technological Units of Santander have consistently implemented the free course PREIN-UTS. This is an online training course mediated by the artificial learning web platform Khan-Academy, and it's directed at the first semester students with the aim of strengthening their mathematical pre-knowledge before they are accessing the institution. Therefore, the object of study is to analyze the implementation of the course in his first stage and how the students does use it to improve their learning in mathematics. The methodological approach is quantitative of exploratory type with the proper use of descriptive statistics in the SPSS software. The random sample was made up of new first semester students (N = 277). The results show implicitly the manner of solving exercises to increase the level of performance of the skills, in fact confirms and reveals that the activity students that dedicates the most time with average 340.97minutes and Standard deviation (SD) 413.27. Finally, it was concluded that Khan-Academy enables the creation of free easy-access courses that can be used for the benefit of students who want to get into Higher Education to encourage their mathematical skills.