Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward A Workable Emulation-Based Preservation Strategy: Rationale and Technical Metadata

The KEEP project is the first of its kind to seriously research the kind of emulation based on a virtual machine as put forward by Lorie (2002). In addition to creating such a virtual machine, a number of other supporting tools and techniques are also being developed as part of this EC FP7 project. One of these is an emulation metadata data model with a dual purpose: first, for use as the basis of a database that forms part of the Emulation Framework that will run on the KEEP Virtual Machine (KVM); and, second, for use as the core of an emulation metadata standard, envisaged to be taken up by the wider community. This paper is thus very much geared toward a practical discussion of emulation. However, before the digital preservation community will consider emulation as a viable option compared to migration; it is imperative that the polarized positions exemplified by Rothenberg and Bearman are carefully analyzed, deconstructed, and, where necessary, set aside. In this way, some options that have previously been dismissed out of hand can be allowed to resurface, and their relative merits be reconsidered. The second part of the article comprises a detailed investigation of the technical environment necessary to emulate a given digital object. The technical environment data, thus obtained, is then used to create the core of the emulation metadata model. The article concludes with a consideration of video games' metadata, as games represent the most complex digital objects planned to be emulated as part of the KEEP project.
Learning, using and designing filenames and command paradigms†

Abstract What are names for computer files and commands like? How do people go about naming them? How do the properties such names can have affect the ease with which they can be learned and used? This paper sketches a general view of names and naming in which the linguistic forms that names take are deliberately structured to reflect functional interrelations between their referents. This view is then applied to an analysis of personal filenames chosen by CMS users and to a series of experimental studies of command languages.
Introduction to the Natural Anticipator and the Artificial Anticipator

This short communication deals with the introduction of the concept of anticipator, which is one who anticipates, in the framework of computing anticipatory systems. The definition of anticipation deals with the concept of program. Indeed, the word program, comes from “pro‐gram” meaning “to write before” by anticipation, and means a plan for the programming of a mechanism, or a sequence of coded instructions that can be inserted into a mechanism, or a sequence of coded instructions, as genes or behavioural responses, that is part of an organism. Any natural or artificial programs are thus related to anticipatory rewriting systems, as shown in this paper. All the cells in the body, and the neurons in the brain, are programmed by the anticipatory genetic code, DNA, in a low‐level language with four signs. The programs in computers are also computing anticipatory systems. It will be shown, at one hand, that the genetic code DNA is a natural anticipator. As demonstrated by Nobel laureate McClintock [8], genom.
L’introduction d’une dimension éducative dans les pratiques de soin et nouveaux enjeux de professionnalisation

Du fait de l’entree de l’education therapeutique dans le code de la sante publique, la question de la professionnalisation des soignants a ce nouveau champ d’activite est devenue un enjeu social majeur. Pour tenter de caracteriser les changements professionnels que cette loi impulse, nous avons recueilli les propos de cinq soignants impliques dans des activites educatives et les avons analyses au regard du modele de professionnalisation de Wittorski (2007). Nous verrons comment l’activite educative se deploie au fil de l’activite de soin et s’appuie principalement sur des logiques d’apprentissage. Ces changements ont pour effet d’operer des transformations a la fois vis-a-vis des pratiques mais aussi des institutions dans lesquelles elles s’exercent.
Research on Clustering Analysis of Big Data

Data quantity of Big Data was too big to be processed with traditional clustering analysis technologies. Time consuming was long, problem of computability existed with traditional technologies. Having analyzed on k-means clustering algorithm, a new algorithm was proposed. Parallelizing part of k-means was found. The algorithm was improved with the method of redesigning flow with MapReduce framework. Problems mentioned above were solved. Experiments show that new algorithm is feasible and effective.
Taking the pulse of the web : assessing sentiment on topics in online media

The task of identifying sentiment trends in the popular media has long been of interest to analysts and pundits. Until recently, this task has required professional annotators to manually inspect individual articles in order to identify their polarity. With the increased availability of large volumes of online news content via syndi-cated feeds, researchers have begun to examine ways to automate aspects of this process. In this work, we describe a sentiment analysis system that uses crowdsourcing to gather non-expert annotations for economic news articles. By using these annotations in conjunction with a supervised machine learning strategy, we can generalize to label a much larger set of articles, allowing us to effectively track sentiment in different news sources over time.
OpenFlow-Based Global Load Balancing in Fat-Tree Networks

Cloud services have been explosively popular over the last decade. And data centers play an essential role in providing cloud services. Inside a data center, any server instance has the chance to inject traffic of various applications into the network. Yet how to balance the enormous internal load to make the best of data center network is a highly prioritized problem to be solved. To provide balanced traffic in data centers, this paper proposes an OpenFlow-based GLB load balancing algorithm in data center fat-tree networks. GLB uses a path-related weight to select path. This weight indicates how balanced of a path. We implement GLB algorithm as a module in an openflow controller platform, POX. On the self-defined modified mininet emulation platform, we conduct experiments in a fat-tree topology environment running random traffic to generate performance data. Experiment results demonstrate that our proposed GLB algorithm outperforms DLB algorithm in terms of load balancing.
Genre Analysis: English in Academic and Research Settings

In recent years the concept of 'register' has been increasingly replaced by emphasis on the analysis of genre, which relates work in sociolinguistics, text linguistics and discourse analysis to the study of specialist areas of language. This book is a clear, authoritative guide to this complex area. He provides a survey of approaches to varieties of language, and considers these in relation to communication and task-based language learning. Swales outlines an approach to the analysis of genre, and then proceeds to consider examples of different genres and how they can be made accessible through genre analysis. This is important reading for all those working in teaching English for academic purposes and also of interest to those working in post-secondary writing and composition due to relevant issues in writing across the curriculum.
QoS support on the 3G HRPD air interface

High rate packet data (HRPD) is a high speed (up to 2.4 Mbps) third generation wireless network specification that has been developed for bandwidth intensive data and multimedia applications. In HRPD, the sector throughput can be maximized by having the frame scheduler take into account the instantaneous radio conditions of users and by serving users during their good radio condition periods. This results in high user diversity gains. However, in order to support QoS services, it is also necessary to serve users experiencing bad radio conditions in order to maintain their requested QoS levels. We present a flexible algorithm that provides user QoS guarantees while at the same time achieving some user diversity gains.
Multimedia Educational Material and Remote Laboratory for Sliding Mode Control Measurements

The paper presents a multimedia educational program of DC servo drives for distant learning with a special emphasis on sliding mode control. The program contains of three parts: animation, simulation and internet based measurement. The animation program explains the operation of DC motors, gives its time- and frequency-domain equations, transfer functions and the theoretical background necessary for controller design for DC servo motors. The simulation model of the DC servo motor and the controller can be designed by the students based on the animation program. The students can also test their controllers through the internet based measurement, which is the most important part from engineering point of view. After the measurements are executed, the students can download the measured data and compare them to the simulation results.
Adaptive Steganography: A survey of Recent Statistical Aware Steganography Techniques

Steganography is the science that deals with hiding of secret data in some carrier media which may be image, audio, formatted text or video. The main idea behind this is to conceal the very existence of data. We will be dealing here with image steganography. Many algorithms have been proposed for this purpose in spatial & frequency domain. But in almost all the algorithms it has been noticed that as we embed the secret data in the image the certain characteristics or statistics of the image get disturbed. Based on these disturbed statistics steganalysts can get the reflection about the existence of secret data which they further decode with the help of available steganalytic tools. Steganalysis is a science of attacking the hidden data to get an authorized access. Although steganalysis is not a part of this work but it may be sometimes discussed as a part of literature. Even in steganography we are not purely concerned with spatial or frequency domain rather our main emphasis is on adaptive steganography or model based steganography. Adaptive steganography is not entirely a new branch of steganography rather it is based upon spatial & frequency domain with an additional layer of mathematical model. So here we will be dealing with adaptive steganography which take care about the important characteristics & statistics of the cover image well in advance to the embedding of secret data so that the disturbance of image statistics as mentioned earlier, which attracts the forgery or unauthorized access, can be minimized. In this survey we will analyze the various steganography algorithms which are based upon certain mathematical model or in other words algorithms which come under the category of model based steganography.
Measuring effectiveness of learning chatbot systems on Student’s learning outcome and memory retention

Creating a learning environment in which students learn more effectively remains the great challenge from decades; different approaches are proposed, for example, Intelligent Tutoring Systems, Question Answering System and chatbot. All these approaches used natural language to achieve that goal. A comparison of these systems viz-a-viz student learning outcome and behavior is of eminent importance. To achieve this goal a chatbot system with knowledge base for Object-Oriented Programming Languages is developed and deployed. Case study was made to assess and evaluate the chatbot system for student learning methodology. Learning outcomes and Memory retention have been measured for the developed system. Comparisons were made between the results obtained using Google search engine and our chatbot system. The results indicate that learning through Chabot have a significant impact on memory retention and Learning outcomes of the students.
Survival of breast cancer patients following surgery: a detailed assessment of the multi-layer perceptron and Cox's proportional hazard model

The prognostic assessment of breast cancer patients following surgery to excise the tumour and other pathological tissue, is an important consideration in determining the most appropriate course of adjuvant therapy for the patient. The paper compares the relative predictive performance of a neural network and an established statistical method, on the basis of their ROC and Kaplan-Meier curves, using information available at the time of surgery.
Operational use of SSM/I ice concentration in the initialization of a coupled ice-ocean model

The Polar Ice Prediction System (PIPS), the Regional Polar Ice Prediction System - Barents (RPIPS-B) and the Regional Polar Ice Prediction System Greenland Sea (RPIPS-G) are all operational sea ice forecasting systems which have been run daily at the Fleet Numerical Meteorology and Oceanography Center (FNMOC) since September 1987, June 1989 and October 1991, respectively. The basis for all three models is the Hibler ice model. The Hibler ice model calculates ice drift, ice thickness, ice concentration, ice edge and the growth/decay of ice based on both dynamic and thermodynamic effects. The Polar Ice Prediction System 2.0 (PIPS2.O), a new version of PIPS, is presently undergoing its final test phase. PIPS2.0 has been modified into a spherical coordinate version of PIPS and coupled with an ocean model (Cox, 1984). Daily atmospheric fields from the Navy Operational Global Atmospheric Prediction System (NOGAPS) are used to produce a 24-hour forecast. PIPS forecasts over the entire Arctic basin, the Barents Sea and the Greenland/Norwegian Sea using a grid resolution of 127 km. RPIPS-B, a higher resolution version of PIPS, forecasts over the Barents Sea and the western part of the Kara Sea using a grid resolution of 2.5 km. RPIPS-G, another higher resolution version of PIPS, forecasts over the region adjacent to the Fast Greenland coast using a grid resolution of 20 km. PIPS2.0 forecasts over most of the ice-covered regions in the northern hemisphere using a variable grid resolution ranging from 17 to 33 km at the North Pole. By the end of 1994, PIPS2.0 will replace all the existing operational forecast sytems at FNMOC. <<ETX>>
A Network Model of P2P Extending to Private Network

With the expansion of private network scale, the shared resource is very rich in its internal. How does the P2P network extend to the private network, and conduct good integration of the resources becomes a much valuable research subject. The paper puts forward a new P2P network model, and describes the network organization mode, the cooperation relations between the nodes, and node join and exit algorithm in detail. The model has highly self-organized and scalability in private internal network; it does not need public network nodes involved in.
Learned to Use Or Learned Not to Use? - An Application of the Wiles Test on Graduates of China's Newly-upgraded Universities

the human capital hypothesis and the screening hypothesis were commonly used to explain the positive effect of education level on individual incomes in the field of education economics. Using graduates of the newly-upgraded universities of China as the sample, this paper tested the two contending hypothesis. The results were in favor of the human capital hypothesis, which indicated higher education was rather a production means than merely a signal of productivity for graduates of these universities.
Joint Synchronization of Timing and Frequency Algorithm Based on Training Symbol in SC-FDE Systems

Common joint synchronization of timing and frequency algorithms based on training symbols are analyzed. Training symbols are discussed and then a new algorithm based on training symbol with special structure is proposed and applied in SC-FDE (Single Carrier Frequency Domain Equalization) systems. The proposed algorithm absorbs the advantages of the common algorithms and comparison between different algorithms shows that the proposed algorithm achieves better performance.
Hyperspectral mine detection phenomenology program

The objective of the US Army Hyperspectral Mine Detection Phenomenology program was to determine if spectral disciminants exist that are useful for the detection of land mines. A primary goal wa to determine the presence and persistence of spectral features produced by buried anti- tank mines as associated with soil properties and vegetation changes over time. Details of the collections are documented in the ERIM International Technical Report 10012200-15-T, 'Mine Spectral Signature Collections and Data Archive', March 1999. This paper describes the HMDP project and focuses on the initial phase of controlled experimental measurements of spectral mine signatures in ground-based US collections. The foreign data collections are not addressed in this paper. Some of the HMDP project's mine spectral signature result are highlighted here. Detailed analyses of these data were performed and is described in a companion paper in this conference titled 'Detection of Land Mines with Hyperspectral Data'.
How to conduct your own survey

Practical Surveys. Cornerstones of a Quality Survey. Deciding What Information You Need. Choosing a Survey Method. When and How to Select a Sample. Writing Good Questions. Questionnaire Design. Setting Your Survey in Motion and Getting It Done. From Questionnaires to Survey Results. Reporting Survey Results. Advice, Resources, and Maintaining Perspective. References. Index.
Adopt ICT among Academic Staff in Aljouf University: Using UTAUT Model

The unified theory of acceptance and use of technology (UTAUT) has proven to be a powerful theoretical tool in the analysis of the adoption of information systems and usage behavior. Therefore, the researchers developed a survey based on the instrument established by Venkatesh, et. al. (2003) to determine the major factors contributing towards academic staff’s intention to adopt ICT at Al Jouf University. Sixty academic staff members from different colleges in the Al Jouf University participated in this study. The results of the study supported the UTAUT model. However, the results showed that the UTAUT constructs did not have a significant effect on intention in the presence of interactions with gender and age. DOI: 10.5901/mjss.2015. v6n1p490
On the analysis of cortical surface biomarkers

This thesis presents a pipeline of methods that facilitate the analysis of biomarkers on the cortex of the brain. The pipeline includes a topology-aware Laplacian thickness, a novel method for the measurement of cortical thickness which incorporates global topology information; the SAVOR framework, a novel framework for registering intraand intersubject cortical surfaces based on topology-preserving surface projection of volumetrically aligned cortical surfaces; and a suite of established statistical tools that are well-suited for the analysis of small population, high-dimensional population studies. We present the formulation and validation of these methods and present an illustrative application of the pipeline to the study of Alzheimer’s disease.
Toward the quality evaluation of complex information systems

Recent technological evolutions and developments allow gathering huge amounts of data stemmed from different types of sensors, social networks, intelligence reports, distributed databases, etc. Data quantity and heterogeneity imposed the evolution necessity of the information systems. Nowadays the information systems are based on complex information processing techniques at multiple processing stages. Unfortunately, possessing large quantities of data and being able to implement complex algorithms do not guarantee that the extracted information will be of good quality. The decision-makers need good quality information in the process of decision-making. We insist that for a decision-maker the information and the information quality, viewed as a meta-information, are of great importance. A system not proposing to its user the information quality is in danger of not being correctly used or in more dramatic cases not to be used at all. In literature, especially in organizations management and in information retrieval, can be found some information quality evaluation methodologies. But none of these do not allow the information quality evaluation in complex and changing environments. We propose a new information quality methodology capable of estimating the information quality dynamically with data changes and/or with the information system inner changes. Our methodology is able to instantaneously update the system's output quality. For capturing the information quality changes through the system, we introduce the notion of quality transfer function. It is equivalent to the signal processing transfer function but working on the quality level. The quality transfer function describes the influence of a processing module over the information quality. We also present two different views over the notion of information quality: a global one, characterizing the entire system and a local one, for each processing module.
Semantic Inner Product Based Web Service Matchmaking Method

Web Service matchmaking ensured the availability of the discovered service, is a critical issue for Web Service discovery. In this paper we proposed a Semantic Inner Product based Web Service Matchmaking method (SIP-WSM). SIP-WSM merged the structural and semantic information into the Semantic Inner Product of element in WSDL document to realize a loosely structured matchmaking on semantic level. Experiment result shows that SIP-WSM performs better.
Handbook of second language acquisition

W.C. Ritchie and T.K. Bhatia, Second Language Acquisition: Introduction, Foundations, and Overview. Research and Theoretical Issues in Second Language Acquisition: K.R. Gregg, The Logical and Developmental Problems of Second Language Acquisition. Issues of Maturation and Modularity in Second Language Acquisition: L. White, Universal Grammar and Second Language Acquisition: Current Trends and New Directions. S. Flynn, A Parameter-Setting Approach to Second Language Acquisition. J. Schachter, Maturation and the Issue of Universal Grammar in Second Language Acquisition. F.R. Eckman, A Functional-Typological Approach to Second Language Acquisition Theory. B. McLaughlin and R. Heredia, Information-Processing Approaches to Research on Second Language Acquisition and Use. D. Preston, Variationist Linguistics and Second Language Acquisition. Second Language Speech and the Influence of the First Language: J. Leather and A. James, Second Language Speech. S. Gass, Second Language Acquisition and Linguistic Theory: The Role of Language Transfer. Research Methodology and Applications: D. Nunan, Issues in Second Language Acquisition Research: Examining Substance and Procedure. A. Sorace, The Use of Acceptability Judgments in Second Language Acquisition Research. Modality and the Linguistic Environment in Second Language Acquisition: M.H. Long, The Role of the Linguistic Environment in Second Language Acquisition. G.P. Berent, The Acquisition of English Syntax by Deaf Learners. The Neuropsychology of Second Language Acquisition and Use: L.K. Obler and S. Hannigan, Neurolinguistics of Second Language Acquisition and Use. Language Contact and its Consequences: R.W. Anderson and Y. Shirai, The Primacy of Aspect in First and Second Language Acquisition: The Pidgin-Creole Connection. S. Romaine, Bilingualism. H.W. Seliger, Primary Language Attrition in the Context of Bilingualism. T.K. Bhatia and W.C. Ritchie, Bilingual Language Mixing, Universal Grammar, and Second Language Acquisition. Glossary. Author Index. Subject Index.