Miracle-dz/UniFAR-FTUs huggingface dataset:
Texture Mapping Volume Objects

We present a combination of image-based texture mapping and projective space (pseudo-solid) texture. This image-based texture mapping is useful for objects deﬁned from volume datasets. The paper makes three main contributions. First, it introduces the combination of the image-based two-part texture mapping and projective space texture mapping for volume objects. Second, it presents a multi-resolution technique to overcome problems with projecting at glancing angles and to eliminate artifacts due to the resolution limitations. Third, it presents the pixel-level data-dependent interpolation technique in projective image warping. The proposed approach leads to superior quality of texture and thus provides an optional solution for texturing volume objects.The results show the effectiveness and quality of rendered images.
Object-Oriented Design Heuristics

From the Publisher: Object-Oriented Design Heuristics offers insight into object-oriented design improvement. The more than sixty guidelines presented in this book are language-independent and allow you to rate the integrity of a software design. The heuristics are not written as hard and fast rules; they are meant to serve as warning mechanisms which allow the flexibility of ignoring the heuristic as necessary. This tutorial-based approach, born out of the author's extensive experience developing software, teaching thousands of students, and critiquing designs in a variety of domains, allows you to apply the guidelines in a personalized manner. The heuristics cover important topics ranging from classes and objects (with emphasis on their relationships including association, uses, containment, and both single and multiple inheritance) to physical object-oriented design. You will gain an understanding of the synergy that exists between design heuristics and the popular concept of design patterns; heuristics can highlight a problem in one facet of a design while patterns can provide the solution. Programmers of all levels will find value in this book. The newcomer will discover a fast track to understanding the concepts of object-oriented programming. At the same time, experienced programmers seeking to strengthen their object-oriented development efforts will appreciate the insightful analysis. In short, with Object-Oriented Design Heuristics as your guide, you have the tools to become a better software developer.
The Predictability of Cursor Control Device Performance Based on a Primitive Set of User Object-Oriented Cursor Actions

The ability to predict performance with a cursor control device on a complex task by measuring performance on a simple task would be useful in evaluating alternative input devices in many types of novel situations. A user would simply have to perform simple cursor movements with each candidate device, and predictions could be made of his/her performance with the devices on any given software application. Such an approach would reduce tedious trial and error procedures, as well as eliminate the time necessary to first learn various software applications. The current study employed the User Action Notation (UAN), a task-oriented notation that describes the behavior of the user and the interface during their cooperative performance of a task, to decompose complex tasks into primitive components. A set of primitive cursor actions was developed which contains the elementary cursor actions found in complex tasks. A graphics software application was then evaluated, using the UAN, with respect to the frequency of occurrence of each of the primitive user-cursor actions. Individual's ability to perform each primitive user-cursor action with three different input devices was then be measured. These measures were used to form estimates of the individual's ability to perform the graphics task with each input device. Correlations between predicted performance and measured performance on the graphics task were found to exceed 0.9. Results demonstrate the success of the method described herein for predicting complex task performance based on simple task performance, as well as, the usefulness of the UAN for decomposing complex tasks into primitive components.
Implementation of Centralized Cooperative Spectrum Sensing Based on USRP

In this paper, a system of centralized cooperative spectrum sensing is designed. Energy detection and cyclostationary feature detection are used by Secondary User. The stepping spectrum sensing function is used to sense and record the vacant spectrum around the location of SU and then the information is uploaded to the control center with its coordinate. This system can make a pre-judgment for SU based on the uploaded information. And when have SU need to make a communication, the SU can find the vacant spectrum fast depending on the data fusion. In this system, we use NI-USRP2920, USRP1 as the hardware platform and GNU Radio, LabVIEW and HDSDR as the software platform. Keywords—Energy Detection; USRP; Spectrum Sensing; Centralized Detection; GNU Radio
Quality of Service for Wireless Sensor Networks in Smart Grid Applications

Monitoring and controlling smart grid assets in a timely and reliable manner is highly desired for emerging smart grid applications. Wireless Sensor Networks (WSNs) are anticipated to be widely utilized in a broad range of smart grid applications due to their numerous advantages along with their successful adoption in various critical areas including military and health care. Despite these advantages, the use of WSNs in such critical applications has brought forward a new challenge of fulfilling the Quality of Service (QoS) requirements of these applications. Providing QoS support is a challenging issue due to highly resource constrained nature of sensor nodes, unreliable wireless links and harsh operation environments. In this thesis we critically investigate the problem of QoS provisioning in WSNs. We identify challenges, limitations and requirements for applying QoS provisioning for WSNs in smart grid applications. We find that the topic of data prioritization techniques at the MAC layer to provide delay bounds in condition monitoring applications is not well developed. We develop six novel QoS schemes that provide data differentiation and reduce the latency of high priority traffic in a smart grid context. These schemes are namely; Delay-Responsive Cross layer (DRX), Fair and Delay-aware Cross layer (FDRX), Delay-Responsive Cross layer with Linear backoff (LDRX), Adaptive Realistic and Stable Model (ARSM), Adaptive Inter-cluster head Delay Control (AIDC) and QoS-aware GTS Allocation (QGA). Furthermore, we propose a new Markov-based model for IEEE 802.15. 4 MAC namely, Realistic and Stable Markovbased (RSM). RSM considers actual network conditions and enhances the stability of the WSNs. We show through analytical and simulation results that all of the presented schemes reduce the end-to-end delay while maintaining good energy consumption and data delivery values.
Improved liver lipid catabolism and utilization in growth hormone transgenic common carp (Cyprinus carpio L.) through enhanced lipolytic and fatty acid β-oxidation pathways

Growth hormone (GH) transgenic common carp (Cyprinus carpio L.) show desirable aquaculture traits. Their specific growth rate (SGR) and feed efficiency (FE) are approximately 12% and 17% higher than the wild-type (WT) common carp, respectively. However, the mechanisms of lipid catabolism (lipolysis and fatty acid β-oxidation) and utilization in GH transgenic common carp are still unclear. In this study, we firstly compared the lipid metabolism of GH transgenic (initial weight 3.72 ± 0.32 g) and WT (initial weight 3.30 ± 0.28 g) common carp fed with a normal fat level diet (6% lipid, 33% protein) for two months, then compared the growth performance of GH transgenic (initial weight 3.65 ± 0.33 g) and WT (initial weight 3.27 ± 0.26 g) common carp fed with different fat levels diets (6% lipid and 12% lipid, 33% protein) for two months. We found that the lipid content in serum, liver and whole body was significantly reduced in GH transgenic common carp, the hepatic activities of the lipolytic enzymes hormone-sensitive lipase and adipose triglyceride lipase were enhanced, and the hepatic expression level of hormone-sensitive lipase was upregulated. In addition, the mitochondrion numbers were increased, and the expression level of carnitine palmitoyltransferase-1a and carnitine palmitoyltransferase-1b was upregulated in the liver of GH transgenic common carp. GH transgenic common carp showed higher weight gain and SGR than that in WT carp when fed with a normal-fat diet as they did when fed with a high-fat diet, and GH transgenic common carp showed higher FE than that in WT carp when fed with a high-fat diet. These results suggested that the lipid catabolism and utilization was improved in the GH transgenic common carp liver through enhanced lipolytic and fatty acid β-oxidation pathways. Our study provides new insights into improving lipid utilization in some aquaculture fish species.
Doroty: um chatterbot para aprendizado baseado em problemas aplicado ao treinamento de profissionais de gerência de redes.

Resumo: Este artigo apresenta uma investigacao do uso de chatterbots como uma ferramenta destinada ao ensino de gerencia de redes, atraves da abordagem do aprendizado baseado em problemas (PBL). Desta forma, foi desenvolvido Doroty, um chatterbot que e capaz de interagir nao somente com o administrador de uma rede, mas tambem com a propria rede gerenciada atraves da utilizacao de um protocolo de gerenciamento. Essa possibilidade de interacao direta com a rede permite que Doroty possa utilizar problemas do mundo real no processo de aprendizado, possibilitando uma comunicacao mais efetiva entre o administrador menos experiente e a rede, e guiando o aprendiz no processo de construcao de seu proprio conhecimento. Abstract: This work presents an investigation of the use of chatterbots as a tool for network management training, through the use of Problem-Based Learning approach (PBL). In our approach, we have created Doroty, a network management-aware chatterbot that is able to interact not only with the network administrator, but also with the managed network via management protocols. This possibility of direct interaction with the network allows Doroty to use real network problems in the learning process, provide a more feasible and effective tool between the less experienced administrator and the managed network, and guide the apprentice while constructing its own knowledge.
Reconciling Model and Information Uncertainty in Development Appraisal

This paper investigates the effect of choices of model structure and scale in development viability appraisal. The paper addresses two questions concerning the application of development appraisal techniques to viability modelling within the UK planning system. The first relates to the extent to which, given intrinsic input uncertainty, the choice of model structure significantly affects model outputs. The second concerns the extent to which, given intrinsic input uncertainty, the level of model complexity significantly affects model outputs. Monte Carlo simulation procedures are applied to a hypothetical development scheme in order to measure the effects of model aggregation and structure on model output variance. It is concluded that, given the particular scheme modelled and unavoidably subjective assumptions of input variance, simple and simplistic models may produce similar outputs to more robust and disaggregated models.
Análise de Mutantes em Aplicações SQL de Banco de Dados

O teste de aplicacoes de banco de dados e crucial para assegurar a alta qualidade do software, pois defeitos nao detectados podem resultar em corrupcao irrecuperavel dos dados. SQL e a mais amplamente utilizada interface para sistemas de banco de dados. Nossa abordagem visa a alcancar testes efetivos pela selecao de bases de dados reveladoras de defeitos. Usamos a analise de mutantes em comandos SQL e discutimos dois cenarios para aplicar as tecnicas de mutacao forte e fraca. Uma ferramenta para auxiliar na automatizacao da tecnica foi desenvolvida e implementada. Experimentos usando aplicacoes reais, defeitos reais e dados reais foram conduzidos para: (i) avaliar a aplicabilidade da abordagem; e (ii) comparar bases de dados de entrada quanto a habilidade para detectar defeitos Abstract
3D Handwritten Animated Captcha Algorithm: Web Security

Now days we daily use internet and websites but some malicious computer programs have attempted to attack on websites. CAPTCHA is a standard security technology used to distinguish between human and computer. CAPTCHA stands for Completely Automated Public Turing test to tell Computers and Human Apart. It uses a type of challenge-response test to find that the response is not generated by a computer. The spamboats have now been made intelligent enough to break simple CAPTCHA while complicated CAPTCHA is difficult for the humans to solve. In this paper, we propose a new CAPTCHA implementation mechanism based on 3D handwritten Animated CAPTCHA.
La/sub 2/O/sub 3//Si/sub 0.3/Ge/sub 0.7/ p-MOSFETs and Ni germano-silicide

We have used Si/sub 0.3/Ge/sub 0.7/ to improve the hole mobility of La/sub 2/O/sub 3/ p-MOSFETs. A hole mobility of 55 cm/sup 2//V-s in nitrided La/sub 2/O/sub 3//Si/sub 0.3/Ge/sub 0.7/ p-MOSFET is measured and 1.8 times higher than the 31 cm/sup 2//V-s mobility in nitrided La/sub 2/O/sub 3//Si control p-MOSFET. The Ni germano-silicide shows a low sheet resistance of 4-6 /spl Omega///spl square/ and small junction leakage currents of 3/spl times/10/sup -8/ A/cm/sup 2/ and 2/spl times/10/sup -7/ A/cm/sup 2/ for respective P/sup +/N and N/sup +/P junctions.
Building a Secure Computer System

machines, 178, 179 Abstract model, 30, 31–32, 105–30. See also Security models Access class, 52, 112 dominates relationship between, 53, 122, 183-84 partial ordering of, 53, 122 SYSTEM HIGH/SYSTEM LOW, 123, 148 Access control, 22–23, 45–46. See also Multilevel security discretionary, 45, 47–50 input/output, 96–102 limiting Trojan horses with, 63–64 mandatory, 45, 50–51 with memory management, 83–86 network, 213–15 Access control list (ACL), 49–50 Access list, 48 Access matrix model, 109, 110 Bell and La Padula model, 123 ACF2 (software), 9 ACL. See Access control list (ACL) Address. See Virtual address space Adleman, L. , 202 AFFIRM, 167, 168 Akers, R. L. , 167 Algebraic specifications, 168 Algorithmic refinement, 178–81 Ames, S. R. , Jr., 28, 131 Anderson, J. P., 131 Application mode, 27 Applications programs, 25, 26 Argument validation, 153 Arpanet Reference Model, 196 Ashland, R. E. , 9, 51 Assertions, entry and exit, 190–92 Assurance, security control, 31 Asynchronous attack, 153–54 Atomic functions, 115 Authentication. See also Password(s) vs. identification, 18–19, 45–46 provided by encryption, 208 Authentication server, 221 Authorization, 22 Authorization server, 221
The role of protein acetylation in carcinogenesis and targeted drug discovery

Protein acetylation is a reversible post-translational modification, and is involved in many biological processes in cells, such as transcriptional regulation, DNA damage repair, and energy metabolism, which is an important molecular event and is associated with a wide range of diseases such as cancers. Protein acetylation is dynamically regulated by histone acetyltransferases (HATs) and histone deacetylases (HDACs) in homeostasis. The abnormal acetylation level might lead to the occurrence and deterioration of a cancer, and is closely related to various pathophysiological characteristics of a cancer, such as malignant phenotypes, and promotes cancer cells to adapt to tumor microenvironment. Therapeutic modalities targeting protein acetylation are a potential therapeutic strategy. This article discussed the roles of protein acetylation in tumor pathology and therapeutic drugs targeting protein acetylation, which offers the contributions of protein acetylation in clarification of carcinogenesis, and discovery of therapeutic drugs for cancers, and lays the foundation for precision medicine in oncology.
KnowSe: Fostering user interaction context awareness

The CSCW area has recognized the concept of awareness as a critical issue to focus on (Schmidt et al., 2002) since “users who work together require adequate information about their environment” (Gross and Prinz, 2003). The environment of an individual encompasses her connections with other people, as well as with digital resources and actions (tasks or processes). If connections are not clear or hidden to the individual or to the group, the cost is a lack of awareness in the organization (McArthur and Bruza, 2003), which not only leads to inefficient cooperation but can even prevent it from being started. Unveiling the relations between persons, topics, tasks and processes to computer workers facilitates cooperative work by increasing the awareness of the personal social networks and the role of an individual in the organization, a project, or a group. These connections can be created and modeled manually but a better approach is to develop semi-automatic or even automatic tools to create and share them (McArthur and Bruza, 2003). Based on emails, McArthur and Bruza (2003) have computed such kind of connections, and suggest using more global corpora as well as taking into account dynamic ones.
Service Delivery Mechanism on Content Based Cluster using Similarity of Services

Load balancing on web servers has become a major area of research due to ever increasing internet users’ population and heavy load on popular website servers. Content based load balancing is proved to be a good mechanism to balance load on servers providing high quality services to the users’ requesting for different category of content. On-demand creation of virtual servers has solved the complexity of load distribution and clusterization helps in grouping of same category servers. We propose a novel mechanism which works on clusterization of different grade servers intended to provide content based services to the users. Through experimental results it is found that this technique is helpful in increasing throughput and provides better quality of service to the users.
Variations autour de tf idf et du moteur Lucene

This paper evaluates and compares the retrieval effectiveness resulting from various models derived from the classical tf idf paradigm when searching into a test-collection written in the French language (CLEF, 299 queries). We show that the simple paradigm “tf idf” may hide various formulations providing different retrieval effectiveness measured either by the mean average precision (MAP) or the mean reciprocal rank (MRR). Our analysis demonstrates that the best retrieval performance can be obtained from applying the Okapi probabilistic model. However, when faced with particular contexts (e.g. distributed IR) where the idf value cannot be obtained during the indexing process, we demonstrated that a simple indexing scheme (based only the frequency of occurrence or tf) may produce a significantly better performance than the classical « tf idf » model. Using the Lucene search engine, we also analyze and evaluate two particular features of this open-source system (namely the boost and coordinate level match).
Analysis of interaction and strategies in Kanji learning using computer assisted language learning (CALL)

Kanji learning is demanding, complicated and time-consuming, but it is fundamental for adult learners of Japanese as a foreign language (JFL) acquiring written communication skills in Japanese. This study examines how learners proceduralise kanji knowledge (graphemic, semantic and phonemic representations) with reference to a skill learning model. It also explores the type of kanji learning strategies drawn on by learners, and how these strategies are used. These learning processes are then examined in relation to participants' performance outcomes. Following a naturalistic inquiry for the qualitative analysis, empirical data from multiple sources were obtained over two semesters of tertiary level JFL study during which learners interacted with the multimedia C A L L program, KanjiSensee (KS), developed for this study. The 17 participants, falling into three groups, represent a typical distribution for JFL beginner classes in Australia: students without any previous learning experience of Japanese (the "no-J" group), students with some learning experience of Japanese as an L 2 (target language) (the "yes-J" group), and students having a kanji background in their Lis (first language) (the "yes-K" group). Due to the small number of participants, one should be cautious in generalising from the results. Apparently however, while frequent interaction with K S may activate accurate production supported by self-testing and thorough practice of kanji, it may not always be associated with high performance. Learners' negative attitudes toward C A L L methods may be associated with low outcomes from the viewpoint of strategy use. The main outcomes of this research suggest that the salient impact of KS is its capacity to promote input enhancement, while text modification on the screen is invaluable for the various needs of individual learners in processing and retaining kanji information. Above all, the study showed that C A L L methods and the transferability of strategy and kanji knowledge from Lis affect the choice of strategy use. Irrespective of the learners' backgrounds and C A L L methods, however, the "Planning your learning" strategy is essential for managing the whole kanji learning process while the "Frequency" strategy
Will new teachers be prepared to teach in a digital age

A power driven grinding machine for resurfacing the journal of trailer and vehicle axles in place on the vehicle is disclosed. The grinding machine comprises an elongate frame which is concentrically and rotatably mounted upon the vehicle axle and which includes a powered grinding wheel assembly. This assembly is translatable along the frame in a direction parallel to the vehicle axle and revolves with the frame about the axis. The grinding wheel is adjusted into longitudinal and radial registry with the bearing to be resurfaced. When power is applied, torque resulting from the frictional engagement of the rotating grinding wheel and the stationary bearing surface rotates the entire grinding machine about the axle, uniformly grinding all bearing surfaces about the periphery of the bearing.
Enhanced Smoothing Methods Using Naïve Bayes Classifier for Better Spam Classification

Text Mining has become an important research area due to the plorification of electronic documents available on web. Spam (junk-email) identification is one of the important application areas of Text Mining. A good spam filter is not just judged by its accuracy in identifying spam, but by its overall performance i.e. reduction in the cost of classifying spam without much reduction in recall. In addressing the growing problem of junk e-mail on the Internet, statistical based approach called Naive Bayesian Classifier has been used to filter unsolicited bulk e-mail due to its simplicity and superior performance. It has been found that it largely depends on the smoothing method, which aims to adjust the probability of an unseen event from the seen event that arises due to data sparseness. The aim is at enhancing the performance of Naïve Bayes Classifier in classifying spam mails by proposing a modification to Jelinek-Mercer Smoothing and Dirichlet Smoothing method against the Laplace method of traditional Naïve Bayes Classifier. The improved method shows the high performance in case of varying data set, varying number of keywords and variations in smoothing factor based on the data set used.