Miracle-dz/UniFAR-FTUs huggingface dataset:
Strings in homogeneous gravitational waves and null holography

Homogeneous gravitational wave backgrounds arise as infinite momentum limits of many geometries with a well-understood holographic description. General global aspects of these geometries are discussed. Using exact CFT techniques, strings in pp-wave backgrounds supported by a Neveu-Schwarz flux are quantized. As in Euclidean $AdS_3$, spectral flow and associated long strings are shown to be crucial in obtaining a complete spectrum. Holography is investigated using conformally flat coordinates analogous to those of the Poincar\'e patch in AdS. It is argued that the holographic direction is the light-cone coordinate $u$, and that the holographic degrees of freedom live on a codimension-one screen at fixed $u$. The usual conformal symmetry on the boundary is replaced by a representation of a Heisenberg-type algebra $H_D\times H_D$, hinting at a new class of field theories realizing this symmetry. A sample holographic computation of 2 and 3-point functions is provided and Ward identities are derived. A complementary screen at fixed $v$ is argued to be necessary in order to encode the vacuum structure.
Notice of RetractionA comprehensive approach for texture classification

Classification of textures based on wavelet pattern analysis is one of the most effective methods in texture classification. However using all frequency sub-bands in decomposition for classification may increase time complexity of classification algorithms. To reduce the time complexity, sub-bands with high energy and entropy are selected for classification. Fractal dimension can be used to select such significant sub-bands for decomposition at each level. Further statistical features of these significant sub-bands are given to modified K-NN classifier for classification. This paper describes texture classification using sub-bands of wavelets based on fractal dimensions and their results are compared with the results of texture classification using conventional features and also with different classifiers. Success rate is very high and time complexity is also reduced to the order of O(n).
Population structure and breeding patterns of 145 U.S. rice cultivars based on SSR marker analysis

This study was undertaken to investigate the population structure of U.S. rice (Oryza sativa L.). A total of 115 U.S. rice cultivars and 30 ancestral accessions introduced from Asia were genotyped by means of 169 simple sequence repeat (SSR) markers that are well distributed throughout the rice genome. SSR-based clustering analysis identified three groups of U.S. rice cultivars that were recognizable as temperate japonica with short to medium grains, tropical japonica with medium grains, and tropical japonica with long grains. Indica cultivars were represented among ancestral accessions, but always clustered independently. Indica germplasm has been used for cultivar improvement, but never directly in U.S. rice production. Cluster analysis of cultivars based on four time periods representing their first release date or introduction (1900-1929, 1930-1959, 1960-1979, and 1980-2000) resulted in the identification of the same three groups. This suggests that the population structure in U.S. rice was established before 1930 and remains essentially intact today, despite a large amount of controlled crossing and artificial selection as a part of the breeding process. Fifty-seven percent of U.S. rice cultivars were developed from intragroup crosses, indicating the availability of substantial genetic variability within each group. Similar results were obtained using genetic distance-based and model-based clustering methods. Information about population structure and associated phenotypic characteristics recognized by geneticists and breeders paves the way for coordinated association mapping studies in the future.
Passively safe partial motion planning for mobile robots with limited field-of-views in unknown dynamic environments

This paper addresses the problem of planning the motion of a mobile robot with a limited sensory field-of-view in an unknown dynamic environment. In such a situation, the upper-bounded planning time prevents from computing a complete motion to the goal, partial motion planning is in order. Besides the presence of moving obstacles whose future behaviour is unknown precludes absolute motion safety (in the sense that no collision will ever take place whatever happens) is impossible to guarantee. The stance taken herein is to settle for a weaker level of motion safety called passive motion safety: it guarantees that, if a collision takes place, the robot will be at rest. The primary contribution of this paper is PassPMP, a partial motion planner enforcing passive motion safety. PassPMP periodically computes a passively safe partial trajectory designed to drive the robot towards its goal state. Passive motion safety is handled using a variant of the Inevitable Collision State (ICS) concept called Braking ICS, i.e. states such that, whatever the future braking trajectory of the robot, a collision occurs before it is at rest. Simulation results demonstrate how PassPMP operates and handles limited sensory field-of-views, occlusions and moving obstacles with unknown future behaviour. More importantly, PassPMP is provably passively safe.
WDM packet routing for high-capacity data networks

We present experimental and numerical studies of a novel packet-switch architecture, the data vortex, designed for large-scale photonic interconnections. The selfrouting multihop packet switch efficiently scales to large port counts (>10 k) while maintaining low latencies, a narrow latency distribution, and high throughput. To facilitate optical implementation, the data-vortex architecture employs a novel hierarchical topology, traffic control, and synchronous timing that act to reduce the necessary routing logic operations and buffering. As a result of this architecture, all routing decisions for the data packets are based on a single logic operation at each node. The routing is further simplified by the employment of wavelength division multiplexing (WDM)-encoded header bits, which enable packet-header processing by simple wavelength filtering. The packet payload remains in the optical domain as it propagates through the data-vortex switch fabric, exploiting the transparency and high bandwidths achievable in fiber optic transmission. In this paper, we discuss numerical simulations of the data-vortex performance and report results from an experimental investigation of multihop WDM packet routing in a recirculating test bed.
Effects of mobile map orientation and tactile feedback on navigation speed and situation awareness

Mobile information systems aid first responders in their tasks. Support is often based on mobile maps. People have different preferences for map orientations (heading-up or north-up), but map orientations also have different advantages and disadvantages. In general north-up maps are good for building up situation awareness and heading-up maps are better for navigational tasks. Because of heavily loaded visual modalities, we expect that tactile waypoint information can enhance navigation speed and situation awareness. In this paper we describe an experiment conducted in a synthetic task environment, in which we examined the effect of heading-up and north-up displays on search and rescue performance of first responders, and if adding the tactile display improves performance.
Well-Posedness of Vortex Sheets with Surface Tension

We study the initial value problem for two-dimensional, periodic vortex sheets with surface tension. We allow the upper and lower fluids to have different densities. Without surface tension, the vortex sheet is ill-posed: it exhibits the well-known Kelvin--Helmholtz instability. In the linearized equations of motion, surface tension removes the instability. It has been conjectured that surface tension also makes the full problem well-posed. We prove that this conjecture is correct using energy methods. In particular, for the initial value problem for vortex sheets with surface tension with sufficiently smooth data, it is proved that solutions exist locally in time, are unique, and depend continuously on the initial data. The analysis uses two important ideas from the numerical work of Hou, Lowengrub, and Shelley. First, the tangent angle and arclength of the vortex sheet are used rather than Cartesian variables. Second, instead of a purely Lagrangian formulation, a special tangential velocity is used in o.
Cross Cloud MapReduce : an Uncheatable MapReduce

MapReduce [1] is becoming a popular data processing application on Cloud Environment. However, security issues make many customers reluctant to move their critical computation tasks to cloud. For instance, [2] points out a real security vulnerability that the cloud service leader Amazon EC2 suffers from: some members of EC2 can create and share Amazon Machine Image (AMI) to the EC2 community so that other users can deploy their server by simply loading an AMI. A malicious AMI, if widely used, could flood the community with hundreds of infected virtual instances. On the other hand, in MapReduce where jobs are carried out via the collaboration of a number of computing nodes, merely one malicious node may render the overall results useless. In a traditional MapReduce setting where each node is deployed on the cloud, the integrity of a computation can be easily compromised and difficult to detect. In this work, we propose a new MapReduce Framework, Cross Cloud MapReduce (CCMR), which can be deployed among a single private cloud and multiple public clouds. By using the replication, hold-and-test, verification and credit-based trust management approaches, CCMR can eliminate malicious compute nodes and guarantee high computation accuracy while incurring acceptable overhead.
Patient characteristics and quality dimensions related to patient satisfaction.

OBJECTIVE To examine the relation of respondents' characteristics, and perceived quality dimensions of health care to overall patient satisfaction in out-patient hospital care. DESIGN A questionnaire concerning the perceived quality of health care sent to patients in out-patient medical care. SETTING All medical centres in Ostergötland County, Sweden, during a period in 2007. PARTICIPANTS Seven thousand two hundred and forty-five patients aged 20 or older responded to the survey and provided their own ratings of the care. Main outcome measure Global patient satisfaction as the overall rating of the encounter at the medical centre. The relation between respondent characteristics, quality dimensions and global satisfaction was examined using linear regression. RESULTS Younger patients in emergency care were the least satisfied group (54%) and older patients with excellent health status were the most satisfied group (90%). Patients with perceived better health status and those with less education were more satisfied than those with more education or poorer health status. The two dimensions most strongly positively associated with global satisfaction were receiving the expected medical help and being treated well by the doctor. To wait at the reception without getting information correlated negatively to patient satisfaction, and participation in the medical decision-making correlated positively. CONCLUSIONS By using a complete patient population, including all types of medical specialities, we have identified a set of common respondent characteristics and quality dimensions that are related to global satisfaction in out-patient hospital care.
An examination of smart card technology acceptance using adoption model

Among the fast growing usage of new technologies, smart card technology has an outstanding growth and making its way worldwide into the hands and wallets of everyone. In fact, smart cards greatly improve the comfort and security of any transaction. It is important to note that consumer acceptance and confidence are vital for the further development of smart card technology or in other words, we can say that acceptance has been viewed as a function of user involvement in smart card systems development. Understanding the factors that influence user acceptance of information technology is of interest both to researchers in a variety of fields as well as procurers of technology for large organizations. Adoption of smart card technologies should not be made simply, knowing the customers perception of and behavioral intention to use technology should be a key in the decision making process. The purpose of this study is to develop an adoption model of using smart card technology.
DATA-DRIVEN SUBCLASSIFICATION OF DISFLUENT REPETITIONS BASED ON PROSODIC FEATURES

Information about the state and planning of the speaker is obscured in traditional classifications of disfluencies which are generally at the word level. This study delves into the acoustic and prosodic information of repetitions, one of the most common disfluencies. A hierarchical clustering of prosodic features reveals three subsets of repetitions, each reflecting different problems in planning.
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition

Deformable models have recently been proposed for many pattern recognition applications due to their ability to handle large shape variations. These proposed approaches represent patterns or shapes as deformable models, which deform themselves to match with the input image, and subsequently feed the extracted information into a classifier. The three components-modeling, matching, and classification-are often treated as independent tasks. In this paper, we study how to integrate deformable models into a Bayesian framework as a unified approach for modeling, matching, and classifying shapes. Handwritten character recognition serves as a testbed for evaluating the approach. With the use of our system, recognition is invariant to affine transformation as well as other handwriting variations. In addition, no preprocessing or manual setting of hyperparameters (e.g., regularization parameter and character width) is required. Besides, issues on the incorporation of constraints on model flexibility, detection of subparts, and speed-up are investigated. Using a model set with only 23 prototypes without any discriminative training, we can achieve an accuracy of 94.7 percent with no rejection on a subset (11,791 images by 100 writers) of handwritten digits from the NIST SD-1 dataset.
ConSeq: the identification of functionally and structurally important residues in protein sequences

MOTIVATION ConSeq is a web server for the identification of biologically important residues in protein sequences. Functionally important residues that take part, e.g. in ligand binding and protein-protein interactions, are often evolutionarily conserved and are most likely to be solvent-accessible, whereas conserved residues within the protein core most probably have an important structural role in maintaining the protein's fold. Thus, estimated evolutionary rates, as well as relative solvent accessibility predictions, are assigned to each amino acid in the sequence; both are subsequently used to indicate residues that have potential structural or functional importance. AVAILABILITY The ConSeq web server is available at http://conseq.bioinfo. tau.ac. il/ SUPPLEMENTARY INFORMATION The ConSeq methodology, a description of its performance in a set of five well-documented proteins, a comparison to other methods, and the outcome of its application to a set of 111 proteins of unknown function, are presented at http://conseq.bioinfo. tau.ac. il/ under 'OVERVIEW', 'VALIDATION', 'COMPARISON' and 'PREDICTIONS', respectively.
On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data

The first airborne hyperspectral campaign in the Antarctic Peninsula region was carried out by the British Antarctic Survey and partners in February 2011. This paper presents an insight into the applicability of currently available radiative transfer modelling and atmospheric correction techniques for processing airborne hyperspectral data in this unique coastal Antarctic environment. Results from the Atmospheric and Topographic Correction version 4 (ATCOR-4) package reveal absolute reflectance values somewhat in line with laboratory measured spectra, with Root Mean Square Error (RMSE) values of 5% in the visible near infrared (0.4–1 µm) and 8% in the shortwave infrared (1–2.5 µm). Residual noise remains present due to the absorption by atmospheric gases and aerosols, but certain parts of the spectrum match laboratory measured features very well. This study demonstrates that commercially available packages for carrying out atmospheric correction are capable of correcting airborne hyperspectral data in the challenging environment present in Antarctica. However, it is anticipated that future results from atmospheric correction could be improved by measuring in situ atmospheric data to generate atmospheric profiles and aerosol models, or with the use of multiple ground targets for calibration and validation.
A DDC Visual Interface for Metadata Exploration

This paper presents a visualization interface for DDC-enriched metadata collections. Three sets of metadata from three different digital libraries were aggregated and re-indexed. Automatic analysis was performed to assign one or more DDC classes to each individual metadata record. A comprehensive search and exploratory interface was designed and implemented to include dashboard views, localized views, and universe views of DDC and the metadata collections. Finally, an experiment was conducted to test and compare how subjects interacted with different views for metadata search, exploratory and resource discovery.
MobiCom 2010 Poster: Capacity and Delay in Mobile Ad Hoc Networks under Gaussian Channel Model

We study the asymptotic delay and throughput in mobile ad hoc networks where �� ad hoc nodes are distributed uniformly on a 2-D square (torus) region of area �� . The communications between nodes are characterized by Gaussian Channel model, instead of the simplified protocol model or physical model. The mobility of nodes is characterized by two general broad classes of practical mobility models, i.e., hybrid random walk models and discrete random direction models, which generalize many mobility models used in the literature. Our results either fill the gap in this area or generalize a stream of milestone results on asymptotic capacity, delay, and the tradeoffs developed recently.
Don’t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records

Mental Health Records (MHRs) contain freetext documentation about patients’ suicide and suicidality. In this paper, we address the problem of determining whether grammatic variants (inflections) of the word “suicide” are affirmed or negated. To achieve this, we populate and annotate a dataset with over 6,000 sentences originating from a large repository of MHRs. The resulting dataset has high InterAnnotator Agreement ( 0.93). Furthermore, we develop and propose a negation detection method that leverages syntactic features of text 1 . Using parse trees, we build a set of basic rules that rely on minimum domain knowledge and render the problem as binary classification (affirmed vs. negated). Since the overall goal is to identify patients who are expected to be at high risk of suicide, we focus on the evaluation of positive (affirmed) cases as determined by our classifier. Our negation detection approach yields a recall (sensitivity) value of 94.6% for the positive cases and an overall accuracy value of 91.9%. We believe that our approach can be integrated with other clinical Natural Language Processing tools in order to further advance information extraction capabilities.
Arima - Asymmetric Receiver Initiated Multiple Access Power Control Protocol for Wireless Ad-Hoc Networks

In a distributed control wireless ad-hoc network, network performance is significantly effected by multi-user interference. In such networks, transmit power control can enhance the energy usage as well as the QoS performance. Although, the effects of hidden/exposed terminals on the system throughput in wireless ad-hoc networks have been studied extensively, the IEEE 802.11 with variable transmit power has to be re-looked in order to optimize the energy and other QoS measures (e.g, bandwidth, throughput). In this paper, we capture the drawbacks of the existing fixed and variable transmission-power control Medium Access Control (MAC) protocols and propose an efficient energy aware receiver initiated variable transmission-power control protocol called Asymmetric Receiver Initiated Multiple Access (ARIMA). It minimizes interference due to the exposed terminal carrier sense nodes at the receiver and hence offers higher network performance. We compare the performance of our proposed protocol with the existing protocols analytically and through exhaustive simulation studies and observe that ARIMA outperforms the existing protocols in terms of throughput and packet transmission probability. This is a simple protocol and can be used in practice.
Stop Motion Animation as a Tool for Sketching in Architecture

Widely acknowledged as an archetypal design activity, sketching is typically carried out using little more than pen and paper. Today’s designed artifacts however, are often given qualities that are hard to capture with traditional means of sketching. While pen and paper sketching catches the character of a building, it may not equally well capture how that building changes with the seasons, how people pass through it, how the light moves in between its rooms from sunrise to dawn, and how its facade subtly decays over centuries. Yet, it is often exactly these dynamic and interactive aspects that are emphasized in contemporary design work. So is there a way for designers to be able to sketch also these dynamic processes? Over several years and in different design disciplines, we have been exploring the potential of stop motion animation (SMA) to serve this purpose. SMA is a basic form of animation typically applied to make physical objects appear to be alive. The animator moves objects in small increments between individually photographed frames. When the photographs are combined and played back in continuous sequence, the illusion of movement is created. Although SMA has a long history in filmmaking, the animation technique has received scarce attention in most design fields including product design, architecture, and interaction design. This paper brings SMA into the area of sketching in architecture by reporting on the planning, conduct, result, and evaluation of a workshop course carried out with a group of 50 students at Umea School of Architecture, Umea University, Sweden.
Diagnosis of recurrent faults using log files

Enterprise software systems (ESS) are becoming larger and increasingly complex. Failure in business-critical systems is expensive, leading to consequences such as loss of critical data, loss of sales, customer dissatisfaction, even law suits. Therefore, detecting failures and diagnosing their root-cause in a timely manner is essential. Many studies suggest that a large fraction of failures encountered in practice are recurrent (i.e., they have been seen before). Fast and accurate detection of these failures can accelerate problem determination, and thereby improve system reliability. To this effect, we explore machine learning techniques, including the Naïve Bayes classifier, partially-supervised learning, and decision trees (using C4.5), to automatically recognize symptoms of recurrent faults and to derive detection rules from samples of log data. This work focuses on log files, since they are readily available and they do not put any additional computational burden on the component generating the data. The methods explored in this work can aid the development of tools to assist support personnel in problem determination tasks. Instead of requiring the operators to manually define patterns for identifying recurrent problems, such tools can be trained using prior, solved and unsolved cases from existing support databases.