Miracle-dz/UniFAR-FTUs huggingface dataset:
WEB INFORMATION RECUPERATION FROM STREWN TEXT RESOURCE SYSTEMS

The Internet has become a vast information source in recent years and can be considered as the world's largest digital library. To help ordinary users find desired data in this library, many search engines have been created. Each search engine has a corresponding database that defines the set of documents that can be searched by the search engine. Usually, an index for all documents in the database is created and stored in the search engine. For each term which can represent a significant word or a combination of several (usually adjacent) significant words, this index can identify the documents that contain the term quickly. Frequently, the information needed by a user is stored in the databases of multiple search engines. As an example, consider the case when a user wants to find papers in a subject area. It is likely that the desired papers are scattered in a number of publishers and/or universities databases. Text data in the Internet can be partitioned into many databases naturally. Efficient retrieval of desired data can be achieved if we can accurately predict the usefulness of each database, because with such information, we only need to retrieve potentially useful documents from useful databases. For a given query ‘q’ the usefulness of a text database is defined to be the no. of documents in the database that are sufficiently relevant to the query ‘q’. In this paper we propose new approaches for database selection and documents selection. In the first part of our work we present an algorithm DBSEL for database selection. This algorithm selects those databases from no. of databases which contain query ‘q’. This algorithm test each database with its documents stored in it. If any document of database contains the query ‘q’ at least one time then we select that database. If all the documents of database does not contains the query ‘q’ then that database will not be selected. In the second part of our work we present an algorithm HighRelDoc for documents selection. This algorithm search all the selected databases and select only those documents from each database in which the query ‘q’ occurs at least one time. After that this algorithm ranks all the selected documents according to the no. of occurrence of query ‘q’ in descending order. Finally this algorithm returns the top ‘n’ most relevant documents from the sorted list of documents for any positive integer ‘n’.
Applying Hierarchical Classification Techniques Without A Hierarchy

The need to classify text documents within topic hierarchies has given rise to techniques that use the hierarchical structure to improve classification performance. We propose two methods, each utilizing information in a confusion matrix, which apply hierarchical concepts to problems where no a priori hierarchy exists. One method involves learning a hierarchy and then applying existing hierarchical techniques to it. The second method performs a second stage classification, where a second stage classifier attempts to correct common errors of the first stage classifier. Our experiments using the first technique show no improvement over our best flat classifier results, while those using the second technique produce minor improvements. Both sets of experiments suggest the possibility of more pronounced success in the future.
Comment on Solberg and Jensenius: The Temporal Dynamics of Embodied Pleasure in Music

In the paper 'Pleasurable and Intersubjective Embodied Experiences of Electronic Dance Music', Ragnhild Torvanger Solberg and Alexander Refsum Jensenius report on a study in which the movements and self-reported affective responses of a group of dancing participants were recorded and related to structural properties of Electronic Dance Music. They observed that, compared with tracks that had a relatively flat dynamic development, tracks which included a 'break-down', 'build-up' and 'drop' of textural layers were associated with greater changes in movement amount and higher ratings of pleasure. Here I comment on their results and methodological approach and use the opportunity to address the continuous pleasure that was treated as a control in this experiment, discussing some reasons why affective responses to music with more evenly distributed dynamic progressions are so often ignored.
Staging a social drama: Ritualized framing of the spring festival homecoming in Chinese state media

The transformation of Chinese media from the propaganda organ of the Party-state to its central means of hegemony has given rise to typified news practices that vary in formality but cohere in functionality. Integrating theories of media ritual and framing, this study explores how Chinese state media ritualistically manufacture a public consensus on the interpretation of the annual Spring Festival homecoming, a chronic social problem that exposes socioeconomic inequalities and policy deficiencies. An analysis of the 2014 homecoming coverage on China Central Television (CCTV) reveals that state media create and popularize a state-sponsored social drama, reducing a complex, multifaceted social problem to a one-dimensional transportation crisis. This media ritual, in accordance with both the state’s mandate to maintain social stability and the media’s logic of commercial success, contains alternative interpretations and obscures the important social concerns encapsulated in this issue.
Experiences of Managers and Healthcare Personnel Involved in a Functional Healthcare Public Private Partnership

This study explored the experiences of managers and healthcare personnel involved in a functional healthcare public private partnership (PPP) in a semi-rural area situated in the Eastern Cape Province, South Africa. Data on how managers and healthcare personnel experienced their involvement with a functional healthcare PPP in the operational phase were collected from medical and non-medical participants from the administration, facility maintenance, and hospital departments (n = 9, females = 56%, public sector = 44%). The data were thematically analysed. Findings suggest that PPPs result in improved healthcare delivery standards as well as mutual benefits for both partners. Identified facilitators were: good communication and relationships, support from authorities, and perseverance and commitment. Lack of leadership, lack of skills, and attitude (non-compliance, negative attitudes) were identified barriers towards PPPs. PPPs have the potential to enable the public healthcare services in their efficiency.
Using a Probable Time Window for Efficient Pattern Mining in a Receptor Database⋆

The analysis of sequences is one of the major research areas of bio-informatics. Inspired by this research, we investigate the discovery of sequential patterns for use in classification. We will define variations of a fit function that enables us to tell if one pattern is “better” than another. Furthermore we will show how domain knowledge can be used for faster discovery of better sequential patterns in specific types of databases, in our case a receptor database.
Interference suppression in CDMA systems using a sequential adaptive receiver

We present a single-user sequential adaptive receiver (SAR) structure for interference suppression in asynchronous direct-sequence code-division multiple-access (DS-CDMA) communication systems. Computer simulations verify the faster convergence rate of the SAR for various configurations of the SAR. The SAR is especially applicable for adapting to the time-varying channel conditions found in typical cellular systems.
Maternal viral genotypic zidovudine resistance and infrequent failure of zidovudine therapy to prevent perinatal transmission of human immunodeficiency virus type 1 in pediatric AIDS Clinical Trials Group Protocol 076.

Maternal samples were assessed from 96 women enrolled in Pediatric AIDS Clinical Trials Group protocol 076 to determine the prevalence of human immunodeficiency virus type 1 (HIV-1) genotypic zidovudine resistance at entry, if zidovudine resistance developed on study, and the role of zidovudine resistance in vertical transmission of HIV-1 despite zidovudine therapy. Low and high levels of genotypic resistance were assessed by differential hybridization, oligoligation, or direct sequencing of plasma HIV-1 RNA for codons K70R and T215Y/F. None of the women had high-level genotypic resistance to zidovudine at study entry or delivery. For low-level zidovudine resistance, the 95% confidence intervals were 0.3%-6.8% for baseline prevalence and 0.3%-14% for delivery incidence. Low-level zidovudine resistance, adjusted for plasma viral RNA level at delivery, was not strongly associated with an increase in vertical transmission risk (odds ratio, 4.8; 95% confidence interval, 0.2-131; P = .35).
Enhance Term Weighting Algorithm as Feature Selection Technique for Illicit Web Content Classification

The exponential increase of information in Internet has raise the issue of information security. Pornography Web content is one of the biggest harmful resource that pollute the mind of children and teenagers. Several Web content based analysis approaches had been proposed to avoiding these illicit Web content accessing by the children. However implementation of each solution still remain as an issue. Most of the approaches are weak against classify the high similarity Web content such as pornography and gynecology Web pages. In this study, we try to solve this issue by propose a modified term weighting scheme which used as term feature selection technique for illicit Web page classification. We examine the performance of this proposed technique via three data sets which represent three critical scenarios and compare it with original term weighting scheme. Based on our observation, the proposed technique had shown its superiority for illicit Web pages classification which averagely achieve higher than 90\% accuracy rate. Meanwhile the experiment result also denote that the proposed technique had improve from original term weighting scheme. We hope that this study would give other researchers an insight especially who work in the similar area.
Two-dimensional Full Particle Simulation of a Perpendicular Collisionless Shock with a Shock-Rest-Frame Model

A two-dimensional (2D) shock-rest-frame model for particle simulations is developed. Then full kinetic dynamics of a perpendicular collisionless shock is examined by means of a 2D full particle simulation. We found that in the 2D simulation there are fewer nonthermal electrons due to surfing acceleration, which was seen in the previous 1D simulations of a high Mach number perpendicular shock in a low-beta and weakly magnetized plasma. This is because the particle motion along the ambient magnetic field disturbs the formation of coherent electrostatic solitary structures, which is necessary for electron surfing acceleration.
A model for honey bee tracking on 2D video

This paper introduces a model to track bees on 2D video with a 50Hz frame rate. The model detects bees using background subtraction and colour thresholding, producing a binary image showing the bees as blobs. The blobs are then analysed to estimate the bees' positions, which are then used to track the bees in successive video frames. However, in the 50Hz video, bees move a significant distance from one frame to the next. Assuming that a bee's velocity is constant over three succesive frames, the bee position in the third frame can be predicted from the positions in the previous two frames. To track multiple bees in each frame, the predictions and detections are paired using the Hungarian method, which minimises the distances between the predicted positions and the actual detected positions. However, in 2D video, when several bees merge into one blob, it is hard to track the bees correctly when they separate in following frames. The bounding box information from the blob analysis is used to track bees when they separate after merging in the video image. Experiments indicate that single bee tracking is about 99% accurate while merged bee tracking is about 72% accurate.
Equivalence of an Approximate Linear Programming Bound with the Held-Karp Bound for the Traveling Salesman Problem

We consider two linear relaxations of the asymmetric traveling salesman problem (TSP), the Held-Karp relaxation of the TSP’s arc-based formulation, and a particular approximate linear programming (ALP) relaxation obtained by restricting the dual of the TSP’s shortest path formulation. We show that the two formulations produce equal lower bounds for the TSP’s optimal cost regardless of cost structure; i.e. costs need not be non-negative, symmetric or metric. We then show how the ALP formulation can be modied to yield a relaxation for several TSP variants, and discuss how the formulations dier from arc-based relaxations.
A gain-controllable wide-band low-noise amplifier in low-cost 0.8-/spl mu/m Si BiCMOS technology

A low-noise amplifier (LNA) implemented in a low-cost Si-BiCMOS 0.8-/spl mu/m process is presented. It utilizes current conveyors as building blocks. The principle and design methodology are presented, followed by results obtained from simulations. A brief technology and measurement technique description is then made, leading up to the measurement results obtained. The performance is compared with some other LNA realizations. The potentialities of the LNA are finally touched upon, with particular regard to future communications systems. The gain of the LNA is controllable, in the range of 0-20 dB, by varying the dc bias current. Negative decibel gains can also be obtained, making it an attenuator circuit. Using a /spl plusmn/1.5 V supply, and at a measured gain of 14 dB, the LNA has measured -3 dB bandwidth of dc to 1.9 GHz, |Z/sub IN/| = 50 /spl Omega/, |S/sub 11/| = -21 dB, and a simulated noise figure = 3.3 dB, input P/sub 1dB/ = -33 dBm, and consumes only 3.8 mA. A judicious tradeoff between the decibel gain and bandwidth yields -3 dB bandwidths of up to 5.5 GHz, while in the -10-dB cutoff specified for ultra-wide-band (UWB) systems, passbands greater than 10 GHz are enabled. The LNA occupies 0.24 mm/sup 2/ of chip area, including pads. The prospective applications range from current global system for mobile communications, code division multiple access, and multiband systems, to the upcoming UWB.
Examining the Link Between Socioeconomic Status and Mental Illness Prejudice: The Roles of Knowledge About Mental Illness and Empathy

Unlike people suffering from most physical afflictions, those with mental illness often face prejudice. This study examines the interplay of several key social and personal predictors of mental illness prejudice: SES, empathy, mental illness knowledge, and personal acquaintance with the mentally ill. As expected, analyses showed that higher subjective (although not objective) SES, lower levels of empathy, and lower levels of knowledge about mental illness all predicted increased prejudice against people suffering from clinical depression and nondescript mental illness—although not against people suffering from schizophrenia. Path analyses showed evidence for a mediating role of knowledge and empathy in the link between SES and prejudice. Implications of these findings for ways to diffuse mental illness prejudice are discussed.
LUTO : A Web-Enabled Clustering Toolkit

Asstructural andfunctionalgenomicseffortsprovidethebiological communitywith ever-broadeningsetsof inter-related data, the need to explore such complex information for subtlerelationshipsexpands.We presentwCluto,a web-enabledversionof the stand-aloneapplicationCluto, designedto applyclustering methodsto genomicinformation.Its first applicationis focussed ontheclusteringtranscriptomedatafrom microarrays.Datacan beuploadedby theuserinto theclusteringtool, a choiceof several clusteringmethodscanbemadeandconfigured,anddatais presentedto theuserin a variety of visual formats,includinga three-dimensional ”mountain” view of theclusters. Parameters canbe explored to rapidlyexaminea varietyof clusteringresults, andtheresultingclusters can bedownloadedeither for manipulation by otherprogramsor savedin a formatfor publication.
The influence of object shape and center of mass on grasp and gaze

Recent experiments examining where participants look when grasping an object found that fixations favor the eventual index finger landing position on the object. Even though the act of picking up an object must involve complex high-level computations such as the visual analysis of object contours, surface properties, knowledge of an object’s function and center of mass (COM) location, these investigations have generally used simple symmetrical objects – where COM and horizontal midline overlap. Less research has been aimed at looking at how variations in object properties, such as differences in curvature and changes in COM location, affect visual and motor control. The purpose of this study was to examine grasp and fixation locations when grasping objects whose COM was positioned to the left or right of the objects horizontal midline (Experiment 1) and objects whose COM was moved progressively further from the midline of the objects based on the alteration of the object’s shape (Experiment 2). Results from Experiment 1 showed that object COM position influenced fixation locations and grasp locations differently, with fixations not as tightly linked to index finger grasp locations as was previously reported with symmetrical objects. Fixation positions were also found to be more central on the non-symmetrical objects. This difference in gaze position may provide a more holistic view, which would allow both index finger and thumb positions to be monitored while grasping. Finally, manipulations of COM distance (Experiment 2) exerted marked effects on the visual analysis of the objects when compared to its influence on grasp locations, with fixation locations more sensitive to these manipulations. Together, these findings demonstrate how object features differentially influence gaze vs. grasp positions during object interaction.
A Simple and Efficient Detection of Wormhole Attacks

Wormhole attacks in mobile ad hoc networks (MANET) have long been considered a serious threat to MANET's routing. Most of the existing proposals rely on GPS devices and require that the node's clocks are synchronized. Such constraints naturally lead to limitations of applicability since GPS does not operate well in obstructed areas, and clock synchronization in MANET is not always accurate. In this paper, we propose an efficient and simple way to detect wormhole attacks, using a technique called reference broadcast. GPS devices are not required, and clocks do not need to be synchronized. In fact, no particular assumption is made on the communication equipment. We show that our solution can be easily implemented, using either the well-known routing protocol OLSR or any neighbor discovery protocol. Our solution also exhibits a high degree of accuracy in detecting wormhole attacks.
Topic Spotting in Dialogues using Knowledge Transfer

Multi-category classification of short dialogues is a common task performed by humans. For example when assigning a question to an expert, a customer service operator tries to classify the customer query into one of N different classes for which experts are available. Similarly, questions on the web (for example Yahoo Answers) can be automatically forwarded to a restricted group of people with a specific expertise. Typical questions are short and assume background world knowledge for correct classification. For example, the query My focus doesn’t start assumes the world knowledge that focus is a car model. We refer to the problem of applying external knowledge to a particular classification task as a knowledge transfer problem. We propose two novel knowledge-transfer algorithms with feature generation. We show that by using a wide array of existing and novel knowledge-transfer algorithms, with extremely large amounts of external data, we can significantly improve the classification accuracy. Using over 50GB of external data including Wikipedia, Google 5-grams collection, and Yahoo Answers, we show 17% error reduction in written dialogue classification in the Switchboard dataset. We implemented our approach in speech recognition system, improving on the previous results in spoken text categorization.
Violent Crowd Action Recognition

In our paper we aim to explore action recognition and test our implementation on our own dataset involving violent crowds and actions. We extracted features using the IDTF method and generation of MBH, HOF, and HOG as our descriptors for each input video tested. Then, using SVM training, we were able to perform classification for each action class, producing results. This has real world applications in areas such as video surveillance and security. Keywords—action recognition; crowds; violent; IDTF
Prime implicates and relevant belief revision

This article discusses Parikh's axiom of relevance in belief revision, and recalls some results from Kourousias and Makinson (2007, J. Symbolic Logic, 72, 994–1002) in this context. The crucial distinction is emphasized between the uniqueness of the finest splitting of K and the fact that K has several normal forms associated with that finest splitting. The main new result of this article is a new proof for the theorem that the set of prime implicates of K is a normal form for the finest splitting of K. It is explained how this proof avoids a mistake in an earlier proof from Wu and Zhang (2010, Knowledge-Based Syst., 23, 70–76). As a corollary, relevance can be re-defined without reference to the finest splitting, using the notion of path-relevance from Makinson (2009, J. Appl. Logic, 7, 377–387). Finally, a weak yet sufficient condition for irrelevance is presented.
Several Insights into Omnidirectional Static Walking of a Quadruped Robot on a slope

Several insights gained from observing quadruped robots in omnidirectional static walking experiments at high speed on a slope are presented here. In order to allow a robot to move as fast as possible, the height of center of gravity (COG) and three rotating axes, i.e., roll, pitch, and yaw, were used to discuss the COG with the corresponding optimal body posture (COBP). The COBP is the posture in which the motion velocity is maximized according to the height of COG, stability, degree of slope, and direction. Successive gait transition with a minimum number of steps is achievable with the use of a common foot position before and after a gait transition. The time required to change gaits may be reduced by designing the foot positions during crawling and rotating while limiting reachable region of the foot on a slope. The robot, thus, walks in any direction fast and statically with COBP by dynamically changing the height of COG and body posture during gait transitions
Improving driver reliability through inlined reference monitor based on virtualization

One of the main sources of fault occurrence in commodity operating system are bugs in device drivers. So, one way to improve system security is to improve reliability of drivers by enforcing proper security policies. In this paper a new method to improve driver's reliability by inlined reference monitor (IRM) is proposed. Virtual machine monitor (VMM) is used to enforce IRM. So without any change in the kernel code, additional security layer is added to the system. Thus in addition to improving reliability, the model is still compatible with commodity operating systems.