Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Java Message Service (jms) Middleware List of Figures Figure 2.1 N-tier Architecture……………………………………………………… 9 Figure 2.2 Java 2 Ente Rprise Edition Architecture……………………………… 11

The purpose of this project is to explore the current Wireless Java Messaging Service (JMS) middleware technology and to identify key issues when implementing a distributed service over wireless devices. Once advantages and disadvantages of the technology are identified, decisions can be made whether to use this technology when implementing a distributed service over wireless devices. Alternative solutions have been evaluated and considered to address shortcomings of the Wireless JMS middleware technology. The application developed during the project has implemented a JMS service using the most commonly used publish/subscribe model. This model allows many publishers to send messages to a topic and many subscribers to consume the messages. MyNews is an application developed using JMS as a middleware between mobile devices and enterprise applications. A user subscribes to topics available in MyNews and receives information whenever a topic is updated, either using e-mail or Short Me ssage Service (SMS). The subscribers are software components receiving messages from the JMS server when messages become available, and sending them to mobile devices. The JMS server is capable of sending messages without using a subscriber component, but subscriber components have been deployed. A mobile component has been implemented to send messages to a server using JMS as a middleware. Various design patterns have been identified and used during the design and implementation of MyNews application. Alternative system architectures have also been considered. The project has also addressed software and hardware impediments faced by projects with wireless service requirements. Available toolkits and useful examples have been identified. MySQL, JDBM, OpenJMS, Tomcat and Java 2 Micro Edition Toolkit technologies have been configured to implement a basic wireless JMS infrastructure.
Control of mobile ad hoc networks

We show that the per node overhead of traffic control in a mobile ad hoc network with N nodes with density ν moving at average speed ν can be made proportional to √νNν). In this case route between source and destination has a bounded strectch factor compared to optimal route. Since by Gupta and Kumar scaling property the per node traffic cannot be larger than some O(1/log N). Therefore there is a maximal network size which depends of speed ν and node density. We show that we moderate hypotheses (location aware nodes) this size can be significantly large.
BER analysis of a novel hybrid modulation scheme for noncoherent DS-CDMA systems

A novel DS-CDMA transmission scheme combining the two well-known techniques of M-ary orthogonal and differential PSK-modulation is presented. This "hybrid" scheme is applicable to the noncoherent uplink of the IS-95 system where up to now only M-ary orthogonal modulation is used. The additional, PSK-modulated data show a slightly increased bit error rate (BER) compared to the data from M-ary modulation. However, the overall degradation caused hereby is far outweighed by the gain achieved by a higher spreading factor. Analytical results confirmed by simulations yield an improvement of approximately 1.0 dB in terms of E/sub b//N/sub 0/ on a Rayleigh fading channel when no channel coding is used. This considerable gain is achieved upon only slight modification of the conventional modulation/demodulation procedure at a low additional complexity. It is demonstrated that the IS-95 system is not properly designed since the full exploitation of noncoherent demodulation techniques results in a gain of nearly 2.0 dB.
A band-notched UWB antenna with good shape factor

A microstrip antenna integrated with a frequency-controlled bandstop filter which is based on a second order filter is proposed in the paper. It works in the Fedral Comunication Commission (3.1-10.6GHz) with the notched band at the IEEE 802.11 standard for the frequency band of 5.15-5.85GHz. To do a description about the filtering capability of the notched-band antenna, a shape factor similar to that of a filter is placed to help to evaluate in the paper. The antenna can obtain an attenuation figure -3dB at the notched band, and its shape factor can achieve 0.72 as good as a filter. The antenna has adopted a multilayered structure to gain a good shape factor, but its manufacturing process is not complex for little vias to connect each layer. The antenna is fabricated with a shorted patch, mainly radiated patch and a ground jointed with two resonant stubs on a FR4-epoxy substrate. So its manufacturing costs are very cheap. The entire antenna can work as a wide band antenna with a bandstop filter which has a perfect rectangle coefficient.
Hepatitis B Virus Biology

SUMMARY Hepadnaviruses (hepatitis B viruses) cause transient and chronic infections of the liver. Transient infections run a course of several months, and chronic infections are often lifelong. Chronic infections can lead to liver failure with cirrhosis and hepatocellular carcinoma. The replication strategy of these viruses has been described in great detail, but virus-host interactions leading to acute and chronic disease are still poorly understood. Studies on how the virus evades the immune response to cause prolonged transient infections with high-titer viremia and lifelong infections with an ongoing inflammation of the liver are still at an early stage, and the role of the virus in liver cancer is still elusive. The state of knowledge in this very active field is therefore reviewed with an emphasis on past accomplishments as well as goals for the future.
Asymptotic Optimality of Queue-Ratio Routing for Many-Server Service Systems

Motivated by telephone call centers, we study large-scale service systems with multiple customer classes and multiple agent pools, each with many agents. In a recent paper we introduced the Fixed-Queue-Ratio (FQR) rule as a means to delicately balance service levels of the different customer classes. A newly available agent next serves the customer from the head of the queue of the class (from among those he is eligible to serve) whose queue length most exceeds a specified proportion of the total queue length. Together with an appropriate staffing and design recommendation, FQR provides a feasible solution for a very typical problem in call center operations management. In this sequel we show that FQR helps construct a combined design, staffing and routing solution that is not only feasible, but also nearly optimal as the demand volume grows, provided that the service rates can be regarded as pool-dependent. A key feature of this solution is that it reduces the staffing problem to one of staffing the, much simpler, single-class multi-pool system. Our analysis also establishes a diminishing-returns property of flexibility: Under FQR, very moderate cross-training is sufficient to make the call center as efficient as the single-class multi-pool system, again in the limit as the total arrival rate increases.
We Didn't Miss You: Interpolating Missing Opinions

When mining user streams from social media, activity gaps are inevitable, which is known as the sparsity of user data. Such sparsity can significantly degrade the performance of a predictive system that relies on time-sensitive user content. To mitigate this issue, conventional approaches generally tend to discard periods with missing data. However, this solution leads to neglecting information generated by other users which, if utilized, could potentially enhance the quality of the predictive model. So the following question arises: is it possible to alleviate the impact of absent data while preserving the available content contributed within the same timespan? Despite the fact that this problem is well-known, it has not been thoroughly studied before. The goal of this work is to find a way of interpolating missing data from user's network and his previous activities. We investigate how different types of user profiles affect overall behavior predictability. Proposed models are evaluated on a case study of a micro-blogging system for the investment community.
METAGAME : A New Challenge for Games and Learning

In most current approaches to Computer Game-Playing, including those employing some form of machine learning, the game analysis mainly is performed by humans. Thus, we are sidestepping largely the interesting (and difficult) questions. Human analysis also makes it difficult to evaluate the generality and applicability of different approaches. To address these problems, we introduce a new challenge: Metagame. The idea is to write programs which take as input the rules of a set of new games within a pre-specified class, generated by a program which is publicly available. The programs compete against each other in many matches on each new game, and they can then be evaluated based on their overall performance and improvement through experience. This paper discusses the goals, research areas, and general concerns for the idea of Metagame. Parts of this work have been supported by RIACS, NASA Ames Research Center [FIA], and a British Marshall Scholarship.
A Partition Tree Approach to Combine Techniques to Refine Item to Skills Q-Matrices

The problem of mapping items to skills is gaining interest with the emergence of recent techniques that can use data for both defining this mapping, and for refining mappings given by experts. We investigate the problem of refining mapping from an expert by combining the output of different techniques. The combination is based on a partition tree that combines the suggested refinements of three known techniques from the literature. Each technique is given as input a Q-matrix, that maps items to skills, and student test outcome data, and outputs a modified Q-matrix that constitutes suggested improvements. We test the accuracy of the partition tree combination techniques over both synthetic and real data. The results over synthetic data show a high improvement over the best single technique with a 86% error reduction on average for four different Q-matrices. For real data, the error reduction is 42%. In addition to the substantial error reduction, the partition tree refinements provide a much more stable performance than any single technique. These results suggest that the partition tree is a valuable refinement combination approach that can effectively take advantage of the complementarity of the Q-matrix refinement techniques. It brings the goal of using a data driven approach to refine the item to skill mapping closer to real applications, although challenges remain and are discussed.
Analog beamsteering for flexible hybrid beamforming design in mmwave communications

In this paper, we propose an analog beamsteering approach for enabling flexible hybrid beamforming design that can achieve performance close to singular value decomposition (SVD) based digital beamforming with single user case. As a starting point, assuming the use of a codebook with infinite precision, we apply transposes of antenna array response matrices as analog beamformers at the BS and the UE sides. The resulting effective channel matrix including both propagation channel and analog beamformers is shown to be able to provide a maximal achievable rate very close to SVD based digital beamforming at low to medium SNR. Next, the impact of a finite size codebook is analyzed for practical analog beamformer design. A closed-form derivation is obtained for mapping rate loss to the number of antennas, code-book sizes and the received SNR. The analysis shows that in order to achieve performance comparable to analog beamforming with infinite precision, the codebook size should be at least larger than the number of implemented antennas. Therefore, the proposed analog beamforming approach can be designed independently without taking digital beamforming into account. Such an approach can lead to the development of flexible hybrid beamforming architectures that could adapt to a changing propagation environment via agile analog beam selection and maximize spatial multiplexing gain via proper digital beamformer design.
A LITERARY REVIEW OF MANET SECURITY PROTOCOLS

Ad hoc networks offer various applications which ar e very much essential in wireless networks. But the vital problem concerning their security aspects is the major issu e which must be solved. A mobile adhoc network is a collect ion of nodes that are connected through a wireless medium forming rapidly changing topologies. The dynamic an d cooperative nature of ad hoc networks present chall enges in securing these networks. Attacks on ad hoc network routing protocols is the main problem which affects the net work performance and reliability. Here a brief introduct ion is made of the most popular protocols that follow the abledriven approach and the source initiated on-demand approach.
THREE Integrative agnosia

Visual object recognition is undoubtedly a complex process. This is testified by the many attempts to build robust computer vision systems that are capable of recognising objects across a range of views, under different lighting conditions and in different contextual environments (see Brady, 1997; Lowe, 1987 for examples). It is also a commonplace assumption in the computer vision community that visual recognition comprises a number of distinct steps-these include: edge extraction, grouping of local image features, segmentation of objects from the background and from other objects that may be present, formation of a structural description of the object, and accessing stored structural and semantic information from the description assembled from the image (e.g. see Biederman, 1987; Marr, 1982). If the brain follows similar steps to achieve recognition, and if these steps are at least to some degree localised in different neural regions, we might expect visual recognition to break down in a variety of ways, according to the nature of the component processes involved. In contrast to computational arguments for there being several necessary substages in object recognition, the neurological and neuropsychological literature on recognition disorders has traditionally adopted a dichotomous approach. This approach originates in the pioneering work of Lissauer (1890). Lissauer distinguished between two forms of recognition disorder or visual agnosia: apperceptive and associative. Apperceptive agnosia was diagnosed as an impairment that disrupts the formation of a normal percept for the visual stimulus,
New Upper Bounds for Maximum Satisfiability

The (unweighted) Maximum Satisfiability problem (MaxSat) is: Given a Boolean formula in conjunctive normal form, find a truth assignment that satisfies the largest number of clauses. This paper describes exact algorithms that provide new upper bounds for MaxSat. We prove that MaxSat can be solved in time O(|F|·1.3803K), where |F| is the length of a formula F in conjunctive normal form and K is the number of clauses in F. We also prove the time bounds O(|F|·1.3995k), where k is the maximum number of satisfiable clauses, and O(1.1279|F|), for the same problem. For Max2Sat this implies a bound of O(1.2722K).
The Virtual Corpus Approach to Deriving Ngram Statistics from Large Scale Corpora

This paper reports our implementation of the Virtual Corpus approach to deriving ngram statistics for ngrams of any length from large-scale corpora based on the suffix array data structure. In order to enable the VC to accommodate corpora with a vocabulary of different size, we first convert corpus tokens into integer codes. To accelerate the processing, we employ a bucket-radixsort for sorting the VC indices (or pointers, each of which represents a sequence of corpus tokens from its position to the end of the corpus). The time complexity of the sorting algorithm is of O(N log n N) in token code comparisons.
Warping-Based Novel View Synthesis from a Binocular Image for Autostereoscopic Displays

This paper presents a warping-based method for synthesizing multiple views from a binocular stereoscopic image. Auto stereoscopic displays require multiple views while most stereoscopic cameras can only capture two. Popular novel view synthesis methods, such as depth image based rendering (DIBR), often heavily rely on accurate depth maps, which are still difficult to obtain. The proposed method requires neither depth maps nor user intervention. It extracts dense and reliable features. Feature correspondences guide image warping to synthesize novel views while simultaneously maintaining stereoscopic properties and preserving image structures. Compared to DIBR, the proposed method produces higher-quality multi-view images more efficiently without tedious parameter tuning. The method can be used to convert stereoscopic images taken by binocular cameras into multi-view images ready to be displayed on auto stereoscopic displays.
Mean and Mean-Square Analysis of the Complex LMS Algorithm for Non-Circular Gaussian Signals

The least-mean-square (LMS) algorithm is a useful and popular procedure for adaptive signal processing of both real-valued and complex-valued signals. Past analysis of the complex LMS algorithm has assumed that the input signal vector is circularly-distributed, such that the pseudo-covariance matrix of the input signal is zero. In this paper, we relax this assumption, providing a complete mean and mean-square analysis of the complex LMS algorithm for non-circular Gaussian signals. Our analysis unifies the statistical descriptions of the conventional (real-valued) LMS and complex LMS algorithms as specific cases of our more-general behavioral description, negating the need for a distinction between these two procedures. Simulations indicate that our analysis more-accurately predicts the behavior of complex LMS for non-circular signals as compared to existing analyses in the scientific literature.
The Relatedness to Others in Physical Activity Scale: Evidence for Structural and Criterion Validity

The purpose of this study was to test the structural and criterion validity of scores derived from the Relatedness to Others in Physical Activity Scale (ROPAS). The participants (n1 = 893; n2 = 522) completed the ROPAS in addition to demographic questions (study 1) and well-being indicators (study 2) using cross-sectional, nonexperimental surveys. Confirmatory factor analysis (study 1) supported the tenability of a 6-item ROPAS measurement model that was invariant across gender. Higher ROPAS scores were associated with greater perceived autonomy and competence and greater well-being (study 2). Overall, these findings suggested the ROPAS displays a number of psychometric properties that render the instrument useful for investigating issues of belonging and connectedness with others in global physical activity settings. jabr_ 61.87 Self-determination theory (SDT; Deci & Ryan, 2002) has become a popular framework for understanding motivational issues in physical activity contexts such as sport and exercise (Hagger & Chatzisarantis, 2007). This is not surprising given the macro-level approach taken within SDT that specifies the nature and function of human motivation as well as the conditions that facilitate (or thwart) motivational development and enhance well-being (Deci & Ryan). The approach embraced within SDT centers around an “organismic-dialectic” (Deci & Ryan, p. 5), which assumes that humans are active growth-orientated organisms who seek out opportunities for assimilation within their social world. The development of human potentials central to SDT does not occur in a social vacuum but relies on ambient supports that interface with the organism’s innate tendencies to optimize motivation and promote greater well-being (Deci & Ryan). The concept of basic psychological needs is central to Deci and Ryan’s (2002) meta-theory and is formally explicated within Basic Psychological Needs Theory (BPNT). Deci and Ryan extolled the importance of feeling competent,
A Pole-Zero Placement Technique for Designing Second-Order IIR Parametric Equalizer Filters

A new procedure is presented for designing second-order parametric equalizer filters. In contrast to the traditional approach, in which the design is based on a bilinear transform of an analog filter, the presented procedure allows for designing the filter directly in the digital domain. A rather intuitive technique known as pole-zero placement, is treated here in a quantitative way. It is shown that by making some meaningful approximations, a set of relatively simple design equations can be obtained. Design examples of both notch and resonance filters are included to illustrate the performance of the proposed method and to compare with state-of-the-art solutions.
Relationships of Coagulation Factor XIII Activity with Cell-Type and Stage of Non-Small Cell Lung Cancer

Purpose Factor XIII (FXIII), a thrombin-activated plasma transglutaminase zymogen, is involved in cancer development and progression through a triggered coagulation pathway. The aim of this study was to examine whether FXIII activity levels differed in non-small cell lung cancer (NSCLC) patients according to histological types and TNM stage when compared with healthy subjects. Materials and Methods Twenty-eight NSCLC patients and 28 normal controls who had been individually age-, gender-, body mass index-, smoking status-, and smoking amount-matched were enrolled: 13 adenocarcinomas, 11 squamous cell carcinomas, and four undifferentiated NSCLCs; four stage I, two stage II, 12 stage III, and 10 stage IV NSCLCs. FXIII activity was measured using fluorescence-based protein arrays. Results The median FXIII activity level of the NSCLC group [24.2 Loewy U/mL, interquartile range (IQR) 14.9-40.4 Loewy U/mL] was significantly higher than that of the healthy group (17.5 Loewy U/mL, IQR 12.6-26.4 Loewy U/mL) (p=0.01). There were no differences in FXIII activity between adenocarcinoma (median 18.6 Loewy U/mL) and squamous cell carcinoma (median 28.7 Loewy U/mL). NSCLC stage significantly influenced FXIII activity (p=0.02). The FXIII activity of patients with stage III NSCLC (median 27.3 Loewy U/mL, IQR 19.3-40.5 Loewy U/mL) was significantly higher than those of patients with stage I or II (median 14.0 Loewy U/mL, IQR 13.1-23.1 Loewy U/mL, p=0.04). FXIII activity was negatively correlated with aPTT in NSCLC patients (r=-0.38, p=0.04). Conclusion Patients with advanced-stage NSCLC exhibited higher coagulation FXIII activity than healthy controls and early-stage NSCLC patients.
A Comparative Study on Feature Weight in Thai Document Categorization Framework

Text Categorization is the process of automatically assigning predefined categories to free text documents. Feature weighting, which calculates feature (term) values in documents, is one of important preprocessing techniques in text categorization. This paper is a comparative study of feature weighting methods in statistical learning of Thai Document Categorization Framework. Six methods were evaluated, including Boolean, tf, tf×idf, tfc, ltc, and entropy weighting. We have evaluated these methods on Thai news article corpus with three supervised learning classifiers: Support Vector Machine (SVM), Decision Tree (DT), and Naïve Bayes (NB). We found that ltc weighting method is most effective in our experiments with SVM and DT algorithms, while entropy and Boolean weighting is more effective than the weighting with NB algorithms. Using ltc weighting with a SVM classifier yielded a very high classification performance with the F1 measure equal to 96%.