Miracle-dz/UniFAR-FTUs huggingface dataset:
Pairing based mutual healing in wireless sensor networks

Secure communication for information exchange in WSN requires the nodes to share some secret key within the network. One of the possible approaches used for this purpose is that a central authority broadcasts some keying material containing secret to a group of nodes. However, there is a possibility that a node misses out on one or more broadcast. Self-healing is incorporated to get such missing information wherein, using the recent broadcast keying material, a node extracts the key used in the previous sessions, if that node was an authorized member of the session. Furthermore, if the node misses out the recent broadcast, it seeks help of its neighboring nodes and obtains the missing key through mutual healing. The literature survey shows that a bi-linear pairing based protocol is so far the most secure approach for self-healing and mutual healing. In this paper, we propose a significant performance improvement over the existing self-healing protocol based on bi-linear pairing in terms of reduced storage and computation overhead for resource constrained sensor nodes. We also discuss the improved mutual healing protocol that provides mutual authentication and key confirmation without disclosing the node locations to the adversary. The security analysis with respect to active adversary shows that the performance improvement is achieved along with the existing security features such as forward and backward secrecy, resilience against node collusion, node revocation and resistance to impersonation.
Title An Inquiry into the Status and Nature of University-Industry Research Collaborations in Japan and Korea

University-industry collaboration (UIC) has become an increasingly frequent innovation strategy, especially in the Western hemisphere. But we know much less about such research collaborations in East Asia. This study explores and contrasts the current nature and status of UICs in Japan and Korea focusing on factors that facilitate the development and management of such research linkages. The findings indicate that UICs are path dependent, i.e. firms benefit from their experience with previous projects when collaborating with universities. At the same time, cultural factors appear to result in significant differences in the organization of UICs in Japan and Korea. Hitotsubashi Journal of Economics 49 (2008), pp.163-180. C Hitotsubashi University * The authors would like to thank the Volkswagen Foundation for providing support for the research reported here. ** Corresponding author. Tel. : +81-42-580-8792, Fax: +81-42-580-8882.
Epileptic Encephalopathy of Late Childhood: Landau-Kleffner Syndrome and the Syndrome of Continuous Spikes and Waves During Slow-Wave Sleep

Landau-Kleffner syndrome (LKS) and the syndrome of continuous spikes and waves during slow wave sleep (CSWS) are two points on the spectrum of functional childhood epileptic encephalopathies. They are characterized by a severe paroxysmal EEG disturbance that may permanently alter the critical synaptogenesis by strengthening synaptic contacts that should have been naturally “pruned. ” The much more common benign epilepsy with centrotemporal spikes is also related to LKS and CSWS by a common pathophysiology. Although prognosis in LKS and CSWS for seizure control is good, cognitive function declines and permanent neuropsychologic dysfunction is seen in many cases. This permanent damage is most evident in those patients who had early-onset EEG abnormality and a prolonged active phase of continuous spike-and-wave discharges during sleep. If the active phase of paroxysmal activity persists for over 2 to 3 years, even successful treatment does not resolve neuropsychologic sequelae. In LKS, the paroxysmal activity permanently affects the posterior temporal area and results in auditory agnosia and language deficits; in CSWS, the frontal lobes are more involved and other cognitive disturbances predominate. Aggressive treatment should include high-dose antiepileptic drugs, corticosteroids, and surgery in specific cases
Tissue‐specific effects of in vivo adenosine receptor blockade on glucose uptake in Zucker rats

Previous studies have shown that treatment of obese Zucker rats with the adenosine receptor antagonist 1,3‐dipropyl‐8‐(p‐acrylic) phenyl xanthine (BWA1433) improves intraperitoneal glucose tolerance. In this study, a euglycemic hyperinsulinemic clamp was performed on obese (fa/fa) and lean (Fa/fa) Zucker rats that had been treated orally with BWA1433 or vehicle for 1 wk. A constant infusion of [3H]glucose was initiated in fasted animals to measure basal whole body glucose kinetics. No differences in glucose concentration or rates of glucose production/disappearance were observed between lean or obese animals with or without BWA1433. During the euglycemic hyperinsulinemic clamp, whole body glucose disposal in obese Zucker rats was only 22% of that observed in lean animals. BWA1433 treatment increased glucose disposal by 88% in obese Zucker rats. At the end of the clamp, [14C]‐2‐deoxyglucose was injected to determine tissue‐specific differences in glucose uptake. Gastrocnemius, soleus, heart, and liver of untreated obese animals had significantly lower glucose uptake than lean controls under hyperinsulinemic conditions. BWA1433 treatment of obese animals increased glucose uptake in gastrocnemius and soleus muscles by 44 and 47%, respectively. Conversely, BWA1433 treatment decreased glucose uptake in adipose tissue by 54 and 49% in obese and lean Zucker rats, respectively. In summary, BWA1433 improves glucose tolerance by increasing glucose uptake in skeletal muscle while decreasing glucose uptake by adipose tissue. This study suggests that insulin resistance in obese Zucker rats is tissue specific and that signaling from adenosine receptors may be a factor contributing to tissue‐specific insulin resistance. —Crist, G. H. , Xu, B. , La‐ Noue, K. F. , Lang, C. H. Tissue‐specific effects of in vivo adenosine receptor blockade on glucose uptake in Zucker rats. FASEB J. 12, 1301–1308 (1998)
Localized eigenvectors of the non-backtracking matrix

In the case of graph partitioning, the emergence of localized eigenvectors can cause the standard spectral method to fail. To overcome this problem, the spectral method using a non-backtracking matrix was proposed. Based on numerical experiments on several examples of real networks, it is clear that the non-backtracking matrix does not exhibit localization of eigenvectors. However, we show that localized eigenvectors of the non-backtracking matrix can exist outside the spectral band, which may lead to deterioration in the performance of graph partitioning.
Design and evaluation of a tangible-mediated robot for kindergarten instruction

Entertainment technology increases children's engagement in educational activities designed to develop abilities ranging from collaborative problem-solving and cognitive attention to self-esteem. However, little research has been done on designing educational and entertaining interactive technology for kindergarten children (up to 5 years old). Furthermore, most of the work in this area has considered traditional input devices such as the mouse and keyboard, which are not suitable for these very young children. More recently, other more intuitive means of interaction (touch and tangible interfaces) and advanced educational artifacts such as robots have emerged. In this work we therefore present a joint collaboration between technologists and kindergarten instructors to design and evaluate a technological platform using a mobile robot for kindergarten instruction, as well as an intuitive and user-friendly tangible user interface. The results obtained suggest the platform is not only usable by kindergarten children, but it also allows them to be fully immersed in a feeling of energized focus, full involvement, and enjoyment in the process of the activity. In addition, the instructors reported that the system was well accepted and praised its versatility in use as a supporting tool for their everyday classroom activities.
A CTS TASK FOR MEANINGFUL FAST-TURNAROUND EXPERIMENTS

This paper describes a small task paradigm used by researchers in developing new front end and acoustic modeling techniques for conversational speech recognition. The task de(cid:2)nition involves both test data selection to support a small vocabulary and training data selection to reduce training costs. It was designed to support rapid experimentation and still give results that translate to conversational telephone speech recognition tasks using state-of-the-art systems. We discuss experiments in scalability and provide details of a recent small task de(cid:2)nition and performance of baseline systems on this task. We also include results from experiments in training data selection, showing some bene(cid:2)t to sampling methods that de-emphasize outliers.
A combined color-correlation visual model for object tracking using particle filters

In this paper we consider the problem of tracking semi-rigid objects in video sequences using particle filters, with a particular focus on hand tracking applications. Although many different feature descriptors have been developed, none of them alone is good enough to deal with this complex tracking scenarios. Approaches which use a statistical representation of the target tend to fail in presence of visually similar objects, while holistic representations are usually very sensible to motion blur, object deformations and rotations. We present here a visual model which combines color histograms and the MOSSE Correlation Filter. The fusion of two complementary features creates a robust descriptor of the target which is capable of tracking fast moving objects in complex tracking applications with real-time performances, using a low number of particles.
Detecting corpus callosum abnormalities in autism subtype using planar conformal mapping

A number of studies have documented that autism has a neurobiological basis, but the anatomical extent of these neurobiological abnormalities is largely unknown. In this paper, we apply advanced computational techniques to extract 3D models of the corpus callosum (CC) and subsequently analyze local shape variations in a homogeneous group of autistic children. Besides the traditional volumetric analysis, we explore additional phenotypic traits based on the oriented bounding rectangle of the CC. In shape analysis, a new conformal parameterization is applied in our shape analysis work, which maps the surface onto a planar domain. Surface matching among different individual meshes is achieved by aligning the planar domains of individual meshes. Shape differences of the CC between autistic patients and the controls are computed using Hotelling T2 two‐sample metric followed by a permutation test. The raw and corrected p‐values are shown in the results. Additional visualization of the group difference is provided via mean difference map. Copyright © 2009 John Wiley & Sons, Ltd.
Investigation on automatic change detection using pixel-changes and DSM-changes with ALOS-PRISM triplet images

Abstract. A new algorithm for automatic change detection is presented. It detects a pixel-change and DSM-change from two orthoimages and two DSMs, then it extracts the polygons in elevation-changed areas. Pixel-change is detected by using least squares fitting technique. This method can extract the visible changed areas between two orthoimages, while DSM-change is detected by difference DSM. From these two changes, polygons in elevation-changed areas are extracted using the longest matched line selection techniques. This method can automatically detect not only visible changed areas such as vegetated areas, new road construction areas and so on, but also elevation-changed areas such as new building construction, land improvement areas and so on with footprint polygon extraction. We have tested our method using the two sets of ALOS-PRISM triplet images observed over a testfield in Tsukuba, Japan. We confirmed that this method has an effect finding changed areas. Also we compared the number of extracted polygons between manual operation and our automatic method.
Design and practical deployment of a network-centric remotely piloted aircraft system

Remotely piloted aircraft systems (RPASs) are gaining more are more relevance during the last decade since more applications are being enabled by lighter planes with increasing autonomy, higher ceilings, and more powerful transmission technologies. The integration of the RPAS as part of network-centric warfare would be a very important milestone to achieve because of the huge amount of information and capabilities that all these aircrafts can incorporate into the global scheme. This integration is easier for handheld (short-range) RPASs since their communications are typically based on digital transmission like WiFi or WiMAX, but it may not be as obvious for bigger RPASs (long-range, e.g., tactical or medium/high altitude systems) because their line of sight communications are frequently based on analog transmissions. This implies indirect integration into network-centric warfare by means of the ground control station (satellite communications, when available, may suffer notorious delay for certain applications). This article presents a recent practical experience, including flight test campaigns, deploying an all- IP communication architecture into one of the most relevant Spanish tactical RPASs, the SIVA, used by both the Spanish Army and the Spanish Air Force for the last 10 years. This deployment enables cost-effective integration of this RPAS (and its natural successor, the MILANO, a medium- altitude RPAS) into the network-centric warfare by means of direct TCP/IP transmissions over a long-range digital line of sight channel combined with satellite communications for beyond line of sight operations. The proposed design includes network-level security over the radio interfaces, automatic data link selection, support of remote video terminals, and access connectivity toward external IPv6 networks.
Operable windows, personal control and occupant comfort.

Past research (ASHRAE RP-884) demonstrated that occupants of naturally ventilated buildings are comfortable in a wider range of temperatures than occupants of buildings with centrally controlled HVAC systems. However, the exact influence of personal control in explaining these differences could only be hypothesized because of the limits of the existing field study data that formed the basis of that research. The objective of ASHRAE RP-1161 was to quantitatively investigate how personal control of operable windows in office settings influences local thermal conditions and occupant comfort. We conducted a field study in a naturally ventilated building where occupants had varying degrees of control over the windows. Utilizing continuous measurement of each subject’s workstation microclimate, plus a Web-based survey that subjects took several times a day and was cross-linked to concurrent physical assessments of workstation microclimatic conditions, we collected over 1000 survey responses in each of the two main seasons. The data show that occupants with different degrees of personal control had significantly diverse thermal responses, even when they experienced the same thermal environments and clothing and activity levels. Our findings offer further empirical support for the role of shifting expectations in the adaptive model of thermal comfort.
A dynamic size artificial neural network for online data clustering with a new outlier handling technique

This paper presents a new online data clustering algorithm with a new outlier handling technique. The proposed algorithm procedure is based on the well-known ART networks. In recent years, ART networks have been widely used as an online data clustering technique in many applications. The problem with the ART networks is that when the network size increases due to the formation of new clusters, the clustering performance slows down. The situation will get worse if the incoming stream of data includes many outliers which will be processed by the network as new clusters. The proposed algorithm provides an online outlier handler which will solve the mentioned problem while categorizing the multi-dimensional input data using distribution-based clustering model. The outlier handling technique in the proposed algorithm could be used in other forms of ART networks such as ART1, ART2 and Fuzzy ART.
Change in Behavior, Blood Parameters and Pain Score in Response to Different Treatment Strategies in Bull Infected with FMD or LSD

Foot and mouth disease and lumpy skin disease of cattle is a common disease on commercial cattle farms which associated with changes in behavior, blood parameters, pain related behaviors and pain scale measurements, but little is known about this effect. The objectives of the present study were to test 2 hypotheses. First, investigate these changes; second, explained the effect of different treatment strategies (analgesic with Flunixin meglumine) or non-analgesic on lameness and pain scale. 125 bull cows were enrolled in the study based on visual observation of abnormal behavior the present study was done in Assiut governorate in Egypt was divided in three groups, which 25 clinically healthy bull (control group), FMD clinically infected group (25 analgesic + 25 non-analgesic and LSD (25 analgesic + 25 non analgesic). Obtained data illustrated that; there are significant increase physiological parameters (rectal temperature, heart rate and respiratory rate), lying behavior and total pain scale, while, there are significant decrease in feeding, drinking, rumination and standing behaviors, activity of exploration and activity of body care which may be corrected by Flunixin using. Conclusion: Flunixin injection may help in decreasing the negative pain behaviors and physiological changes caused by LSD or FMD
A voyage to Africa by Mr Swift

A male common swift Apus apus was equipped with a light logger on August 5, 2010, and again captured in his nest 298 days later. The data stored in the light logger enables analysis of the fascinating travel it made in this time period. The state of the art algorithm for geolocation based on light loggers consists in computing first sunrise and sunset from the logged data, which are then converted to midday (gives longitude) and day length (gives latitude). This approach has singularities at the spring and fall equinoxes, and gives a bias for fast day transitions in the east-west direction. We derive a flexible particle filter solution, where sunset and sunrise are processed in separately measurement updates, and where the motion model has two modes, one for migration and one for stationary long time visits, which are designed to fit the flying pattern of the swift. This approach circumvents the aforementioned problems with singularity and bias, and provides realistic confidence bounds on the geolocation as well as an estimate of the migration mode.
Package Managers Still Vulnerable: How to Protect Your Systems

Serious vulnerabilities have been discovered in all Linux package managers. Although most major package managers and distributors have begun addressing these issues, some of the most popular are not fully protecting this users. We'll look at kown vulnerabilities in package managers, what is being done to fix them, and how you can protect your system even if you're using a vulnerable package manager.
The Impact of Enterprise Resource Planning Systems on management Accounting: an Australian Study

Information technology is significantly changing the operating practices of an increasing number of companies globally. These developments have important implications for the accounting profession and in particular accounting practices in the twenty-first century. This study examines the development of enterprise resource planning (ERP) systems as a means of illustrating how changes in information technology allows all systems in a company to be linked to manage operations holistically. The study investigates the change in accounting systems using a sample of Australian companies with emphasis on the adoption of ERP systems including the potential impact of ERP on capital budgeting processes. The results show that ERP systems are changing management accounting practices, although at this stage, the impact on capital budgeting techniques appears to be limited. The findings contribute to the emerging body of literature on the development of ERP systems and its impact on management accounting teaching and research.
Using Context to Get Novel Recommendation in Internet Message Streams

Novelty detection algorithms usually employ similarity measures with the previous seen and relevant documents to decide if a document is of user's interest. The problem that arises by using this approach is that the system might recommend redundant documents. Thus, it has become extremely important to be able to distinguish between "redundant" and "novel" information. To address this limitation, we apply a contextual and semantic approach by building the user profile using self-organizing maps that have the advantage to easily follow the changes in the users interests.
Let's Jump Together - Pricing of Credit Derivatives: From Index Swaptions to CPPIs

This paper describes a dynamic multivariate jump driven model in a credit setting. We set up a dynamic Levy model, more precisely a Multivariate Variance Gamma (VG) model, for a series of correlated spreads. The parameters of the model come from a two step calibration procedure. First, a joint calibration on swaptions on the spreads is performed and second, a correlation matching procedure is applied. For the first calibration step, we make use of equity-like pricing formulas for payer and receiver swaptions, based on the characteristic function and the Fast Fourier Transform (FFT) method. In the second calibration step, we fix the correlation in the model to match the prescribed (in casu historically observed) correlation. This can be done fast since a closed form expression is readily available. The resulting jump driven dynamic model generates correlated spreads very fast. This model can be used to price a whole range of exotic structures. We illustrate this by pricing the currently popular credit Constant Proportion Portfolio Insurance (CPPI) structures. Because of the built in jump dynamics a better assessment of gap risk is possible.
Security and reliability in Concordia/sup TM/

Concordia provides a robust and highly reliable framework for the development and execution of secure, mobile agent applications. Concordia incorporates many advanced security and reliability features beyond the basic functionality found in other mobile agent systems. Concordia provides a rich security model that can be used to allow or deny access to system resources down to a very fine level of granularity and that protects agents and the information they carry from tampering or unauthorized access. The system utilizes transactional message queuing to provide reliable network transmissions. Further, Concordia uses proxy objects and a persistent object store to insulate applications from system or network failures. This paper discusses the design and implementation of these features.
Shape design with great geometrical deformations using continuously moving finite element nodes

In this paper design sensitivity analysis is applied to solve the TEAM workshop problem 25. In order to justify the use of a gradient method, it is necessary to assume a continuously differentiable dependence of the stiffness matrix on the design parameters. Since design sensitivity analysis is mainly applicable to optimization problems, where the geometrical parameters undergo small changes only - which is not the case for the problem investigated in this paper-a procedure is proposed, which allows this method to be applied also when the changes in geometry are significant.