Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing the Effects of UAV Mobility Patterns on Data Collection in Wireless Sensor Networks

Sensor nodes in a Wireless Sensor Network (WSN) can be dispersed over a remote sensing area (e.g., the regions that are hardly accessed by human beings). In such kinds of networks, data collection becomes one of the major issues. Getting connected to each sensor node and retrieving the information in time introduces new challenges. Mobile sink usage—especially Unmanned Aerial Vehicles (UAVs)—is the most convenient approach to covering the area and accessing each sensor node in such a large-scale WSN. However, the operation of the UAV depends on some parameters, such as endurance time, altitude, speed, radio type in use, and the path. In this paper, we explore various UAV mobility patterns that follow different paths to sweep the operation area in order to seek the best area coverage with the maximum number of covered nodes in the least amount of time needed by the mobile sink. We also introduce a new metric to formulate the tradeoff between maximizing the covered nodes and minimizing the operation time when choosing the appropriate mobility pattern. A realistic simulation environment is used in order to compare and evaluate the performance of the system. We present the performance results for the explored UAV mobility patterns. The results are very useful to present the tradeoff between maximizing the covered nodes and minimizing the operation time to choose the appropriate mobility pattern.
Experimental Evaluation of Strength Characteristics of Stabilized Dredged Soil

A composite geomaterial (CGM) is developed using dredged soil, bottom ash, cement and air foam. The engineering properties of the CGM are characterized as a function of the content of the various admixtures and the curing time in a laboratory test program. Several series of unconfined compression tests were carried out to characterize the strength and elastic properties of the CGM. Experimental results indicate that the unconfined compressive strength and modulus of CGM are influenced by the content of each component in the mixture. The unconfined compressive strength of CGM increases with an increase in curing time due to the pozzolanic reaction of the bottom ash. The strength after 28 days of curing is found to be approximately 1.5–2.3 times the strength after 7 days of curing, regardless of mix conditions. The bottom ash materials contain nearly 50% siliceous material and 13.9% CaO. With the removal of particles larger than 4.75 mm, a larger surface area is available to react with cement. It is postula.
Categorization of 'Holy Quran-Tafseer' using K-Nearest Neighbor Algorithm

Text categorization, TC, is a process of labeling natural language texts with one or several categories from a predefined set. TC is a supervised learning where the set of categories and examples of documents belonging to those categories is given. The task of automatic TC is assigned an electronic document to several categories, based on a training set of labeled documents. The research objectives are, to formulate a K-Nearest Neighbor (KNN) algorithm for the automatic and suitable classification of any Holy Quran Tafseer segment; to identify relevant categories of Holy Quran Tafseer in the form of number classes; and to retrieve, Tafseer of verses of the Holy Quran in Malay language. Hence, this research aims to automatically categorize the Tafseer of verses of Holy Quran using the KNN algorithm as a technique to solve text categorization. This research has been designed to classify different verses in the Holy Quran. The first phase is to pre-process the Arabic text and then change the word in Arabic to Malay word. After that, categorize classes based on the cosine similarity between a test document and specific training documents. The majority of the same kind of nearest neighbors decides the category of the test sample and calculates precision and recall for a collection of documents. The result shows the outperform of TC using the KNN algorithm is one of the best algorithm for categorization Tafseer of Holy Quran. Furthermore, this study contributes in building a classifier to Tafseer Al-Quran in Malay language.
Concepts Guiding the Study of the Impact of the Built Environment on Physical Activity for Older Adults: A Review of the Literature

Objective. To identify theoretical models and key concepts used to predict the association between built environment and seniors' physical activity on the basis of a comprehensive review of the published literature. Data Source. Computer searches of Medline (1966–2002), PubMed (1966–2002), and Academic Search Elite (1966–2002) were conducted, and 27 English-language articles were found. Search terms included built environment, physical activity, exercise, walking, neighborhood, urban design, seniors, aging, aging in place, and physical environment. Study Inclusion and Exclusion Criteria. The primary inclusion criterion included the relation between the built environment and the physical activity among seniors living in neighborhoods. Studies assessing physical activity or overall health of a community-based population were included if underlying theoretical models and concepts were applicable to a senior population. Studies solely assessing social or psychosocial characteristics of place were excluded, as were review articles. Data Extraction. Extracted data included theoretical model, aspect of built environment studied, methods, and outcomes. Data Synthesis. Tables present key definitions and summarize information from empirical studies. Results. Twenty-seven articles that focused on the environment-behavior relation in neighborhoods, six specific to seniors, were found. This area of research is in its infancy, and inconsistent findings reflect difficulties in measurement of the built environment. Conclusions. The relation between the built environment and the physical activity among seniors has been the subject of a limited number of studies. The choice of theoretical model drives the selection of concepts and variables considered. Safety, microscale urban design elements, aesthetics, and convenience of facilities are consistently studied across models. Few validated instruments have been developed and tested to measure neighborhood built environment.
A Diskless Checkpointing Scheme Based on Vertical Encoding to Lower Fault Tolerance Overhead

Diskless checkpointing is an effective solution to avoid the I/O bottleneck in disk-based checkpointing for tolerating a small number of node failures in large distributed systems. However, the existing encoding schemes used by diskless checkpointing lead to high communication overheads because of cross node encoding. This negates the advantages of diskless checkpointing, especially in scenarios with a limited network bandwidth. This paper proposes a diskless checkpointing scheme with vertical encoding to address this problem. Vertical encoding eliminates the dependency among nodes and also facilitates a balanced communication. Moreover, an analysis model is developed to obtain an optimal configuration parameter. Experimental results show that the proposed scheme reduces significantly the communication overhead of both checkpointing and fault recovery, with no encoding overhead introduced.
Delegated Trade and the Pricing of Public and Private Information

We extend a standard, rational expectation model of trade to incorporate the possibility of individual investors delegating their trades to an informed financial intermediary. In the presence of delegated trade, we show that a firm׳s risk premium is a function of both the firm׳s exposure to a common risk factor and idiosyncratic characteristics of the firm׳s information environment. We show that even in a large economy, priced risks can manifest in the form of both idiosyncratic firm characteristics and common risk factors; as a consequence, factor-based asset pricing tests cannot rule out that a particular risk is priced.
Context-Aware Conversational Developer Assistants

Building and maintaining modern software systems requires developers to perform a variety of tasks that span various tools and information sources. The crosscutting nature of these development tasks requires developers to maintain complex mental models and forces them (a) to manually split their high-level tasks into low-level commands that are supported by the various tools, and (b) to (re) establish their current context in each tool. In this paper we present Devy, a Conversational Developer Assistant (CDA) that enables developers to focus on their high-level development tasks. Devy reduces the number of manual, often complex, low-level commands that developers need to perform, freeing them to focus on their high-level tasks. Specifically, Devy infers high-level intent from developer's voice commands and combines this with an automatically-generated context model to determine appropriate workflows for invoking low-level tool actions; where needed, Devy can also prompt the developer for additional information. Through a mixed methods evaluation with 21 industrial developers, we found that Devy provided an intuitive interface that was able to support many development tasks while helping developers stay focused within their development environment. While industrial developers were largely supportive of the automation Devy enabled, they also provided insights into several other tasks and workflows CDAs could support to enable them to better focus on the important parts of their development tasks.
Karyopherin Alpha 6 Is Required for Replication of Porcine Reproductive and Respiratory Syndrome Virus and Zika Virus

ABSTRACT Movement of macromolecules between the cytoplasm and the nucleus occurs through the nuclear pore complex (NPC). Karyopherins comprise a family of soluble transport factors facilitating the nucleocytoplasmic translocation of proteins through the NPC. In this study, we found that karyopherin α6 (KPNA6; also known as importin α7) was required for the optimal replication of porcine reproductive and respiratory syndrome virus (PRRSV) and Zika virus (ZIKV), which are positive-sense, single-stranded RNA viruses replicating in the cytoplasm. The KPNA6 protein level in virus-infected cells was much higher than that in mock-infected controls, whereas the KPNA6 transcript remains stable. Viral infection blocked the ubiquitin-proteasomal degradation of KPNA6, which led to an extension of the KPNA6 half-life and the elevation of the KPNA6 level in comparison to mock-infected cells. PRRSV nsp12 protein induced KPNA6 stabilization. KPNA6 silencing was detrimental to the replication of PRRSV, and KPNA6 knockout impaired ZIKV replication. Moreover, KPNA6 knockout blocked the nuclear translocation of PRRSV nsp1β but had a minimal effect on two other PRRSV proteins with nuclear localization. Exogenous restitution of KPNA6 expression in the KPNA6-knockout cells results in restoration of the nuclear translocation of PRRSV nsp1β and the replication of ZIKV. These results indicate that KPNA6 is an important cellular factor for the replication of PRRSV and ZIKV. IMPORTANCE Positive-sense, single-stranded RNA (+ssRNA) viruses replicate in the cytoplasm of infected cells. The roles of transport factors in the nucleocytoplasmic trafficking system for the replication of +ssRNA viruses are not known. In this study, we discovered that PRRSV and ZIKV viruses needed karyopherin α6 (KPNA6), one of the transport factors, to enhance the virus replication. Our data showed that viral infection induced an elevation of the KPNA6 protein level due to an extension of the KPNA6 half-life via viral interference of the ubiquitin-proteasomal degradation of KPNA6. Notably, KPNA6 silencing or knockout dramatically reduced the replication of PRRSV and ZIKV. PRRSV nsp1β depended on KPNA6 to translocate into the nucleus. In addition, exogenous restitution of KPNA6 expression in KPNA6-knockout cells led to the restoration of nsp1β nuclear translocation and ZIKV replication. These results reveal a new aspect in the virus-cell interaction and may facilitate the development of novel antiviral therapeutics.
Bandit Learning with Positive Externalities

In many platforms, user arrivals exhibit a self-reinforcing behavior: future user arrivals are likely to have preferences similar to users who were satisfied in the past. In other words, arrivals exhibit positive externalities. We study multiarmed bandit (MAB) problems with positive externalities. We show that the self-reinforcing preferences may lead standard benchmark algorithms such as UCB to exhibit linear regret. We develop a new algorithm, Balanced Exploration (BE), which explores arms carefully to avoid suboptimal convergence of arrivals before sufficient evidence is gathered. We also introduce an adaptive variant of BE which successively eliminates suboptimal arms. We analyze their asymptotic regret, and establish optimality by showing that no algorithm can perform better.
TEM imaging of an inclined dislocation in an anisotropic thin foil

The elastic distortions nearby the two emerging points of a straight inclined dislocation located in an elastically anisotropic thin foil are expressed with the aid of the integral formalism [D.M. Barnett and J. Lothe, Phys. Norv. 7 (1973) p.13], an approach complementary to that of the Eshelby's “sextic” formalism. They are included in the calculation of the intensities of diffracted beams in transmission electron microscopy to produce theoretical images, a well known procedure when elastic free surface relaxation is ignored. Examples of theoretical images point out some contrast differences between images calculated with the assumptions of isotropic and anisotropic crystals. These calculations can be simplified for a dislocation normal to the surface and a line direction parallel to a two-fold axis.
Data-driven performance evaluation of carrier aggregation in LTE-Advanced

Carrier aggregation increases the throughput of LTE mobile networks by aggregating bandwidth at different frequencies. The theoretical effectiveness of carrier aggregation has been widely studied in the literature and operators claim it substantially increases the network data rate. However, to the best of our knowledge no practical evaluation of the performance of carrier aggregation has been performed using real traffic data. We perform a thorough measurement-based study to assess how carrier aggregation improves the service offered in selected locations in Madrid, Spain. Although the best results for data rate boost are in line with the operator claims, we find that resource usage in aggregated bands is frequently suboptimal, and higher data rates could be achieved by simply overloading a single band. On the other hand, the quality of service achieved by users effectively exploiting carrier aggregation could not be achieved without it.
Efficient Version-Space Reduction for Visual Tracking

Discriminative trackers, employ a classification approach to separate the target from its background. To cope with variations of the target shape and appearance, the classifier is updated online with different samples of the target and the background. Sample selection, labeling and updating the classifier is prone to various sources of errors that drift the tracker. We introduce the use of an efficient version space shrinking strategy to reduce the labeling errors and enhance its sampling strategy by measuring the uncertainty of the tracker about the samples. The proposed tracker, utilize an ensemble of classifiers that represents different hypotheses about the target, diversify them using boosting to provide a larger and more consistent coverage of the version-space and tune the classifiers' weights in voting. The proposed system adjusts the model update rate by promoting the co-training of the short-memory ensemble with a long-memory oracle. The proposed tracker outperformed state-of-the-art trackers on different sequences bearing various tracking challenges.
Herpesvirus deconjugases inhibit the IFN response by promoting TRIM25 autoubiquitination and functional inactivation of the RIG-I signalosome

The N-terminal domains of the herpesvirus large tegument proteins encode a conserved cysteine protease with ubiquitin- and NEDD8-specific deconjugase activity. The proteins are expressed during the productive virus cycle and are incorporated into infectious virus particles, being delivered to the target cells upon primary infection. Members of this viral enzyme family were shown to regulate different aspects of the virus life cycle and the innate anti-viral response. However, only few substrates have been identified and the mechanisms of these effects remain largely unknown. In order to gain insights on the substrates and signaling pathways targeted by the viral enzymes, we have used co-immunoprecipitation and mass spectrometry to identify cellular proteins that interact with the Epstein-Barr virus encoded homologue BPLF1. Several members of the 14-3-3-family of scaffold proteins were found amongst the top hits of the BPLF1 interactome, suggesting that, through this interaction, BPLF1 may regulate a variety of cellular signaling pathways. Analysis of the shared protein-interaction network revealed that BPLF1 promotes the assembly of a tri-molecular complex including, in addition to 14-3-3, the ubiquitin ligase TRIM25 that participates in the innate immune response via ubiquitination of cytosolic pattern recognition receptor, RIG-I. The involvement of BPLF1 in the regulation of this signaling pathway was confirmed by inhibition of the type-I IFN responses in cells transfected with a catalytically active BPLF1 N-terminal domain or expressing the endogenous protein upon reactivation of the productive virus cycle. We found that the active viral enzyme promotes the dimerization and autoubiquitination of TRIM25. Upon triggering of the IFN response, RIG-I is recruited to the complex but ubiquitination is severely impaired, which functionally inactivates the RIG-I signalosome. The capacity to bind to and functionally inactivate the RIG-I signalosome is shared by the homologues encoded by other human herpesviruses.
Development of an Omnidirectional-Image-Based Data Model through Extending the IndoorGML Concept to an Indoor Patrol Service

Different indoor representation methods have been studied for their ability to provide indoor location-based services (LBS). Among them, omnidirectional imaging is one of the most typical and simple methods for representing an indoor space. However, a georeferenced omnidirectional image cannot be used for simple attribute searches, spatial queries, and spatial awareness analyses. To perform these functions, topological data are needed to define the features of and spatial relationships among spatial objects including indoor spaces as well as facilities like CCTV cameras considered in patrol service applications. Therefore, this study proposes an indoor space application data model for an indoor patrol service that can implement functions suited to linking indoor space data and service objects. In order to do this, the study presents a method for linking data between omnidirectional images representing indoor spaces and topological data on indoor spaces based on the concept of IndoorGML. Also, we conduct an experimental implementation of the integrated 3D indoor navigation model for patrol service using GIS data. Based on the results, we evaluate the benefits of using such a 3D data fusion method that integrates omnidirectional images with vector-based topological data models based on IndoorGML for providing indoor LBS in built environments.
A novel adaptive algorithm for location based on Distance-Loss model in complex environment

Location based services are the hottest applications on mobile device nowadays. Indoor wireless position is the key technology to enable location based service to work well indoors, where Global Position System normally couldn't work. The main tendency of indoor wireless position is based on Bluetooth and RSSI (radio signal strength indicator). RSSI is the key parameter for wireless position. But values of RSSI are affected by environment factors easily. Because of this reason, results got from the indoor location technology are usually imprecise and unacceptable. In this paper, an adaptive algorithm based on Distance-Loss model in complex environment is introduced to deal with such problems. The algorithm makes the model adapt to the environment by several parameters which are not influenced by environment. The stability and the accuracy of the algorithm is evidenced by a series of strict experiences.
Simultaneous microdialysis in blood and brain: oxytocin and vasopressin release in response to central and peripheral osmotic stimulation and suckling in the rat.

Simultaneous microdialysis in blood and brain has been used to monitor the release of both oxytocin and vasopressin into the systemic circulation (jugular vein/right atrium) and within the hypothalamic supraoptic nucleus of rats. Both home-made probes for blood and brain microdialysis revealed detectable nonapeptide concentrations under basal conditions and differential responses to a variety of stimuli. In urethane-anesthetized male rats, bilateral stimulation of the supraoptic nucleus by microdialyzing hypertonic medium (1 M NaCl) not only significantly increased the intranuclear release of both oxytocin and vasopressin (p < 0.05), but also their release from the neurohypophysis into blood (p < 0.05). In poststimulation microdialysates sampled from blood, the nonapeptides reached basal levels again, whereas intranuclear levels were further elevated. Intraperitoneal injection of hypertonic saline, on the other hand, resulted not only in the well-known increased peripheral release of oxytocin and vasopressin (p < 0.01 each), but also in a delayed increase in intranuclear oxytocin (p < 0.05). In contrast, intranuclear vasopressin release failed to change within the 90-min period following osmotic stimulation. In conscious lactating rats, suckling increased oxytocin contents in microdialysates sampled simultaneously in blood and the supraoptic nucleus (p < 0.05 each) further validating the microdialysis techniques used. The in vivo recovery in blood of approximately 65% determined using both radiolabeled and endogenous oxytocin provides a rough estimate to assess nonapeptide concentrations in plasma from 30-min or even 10-min blood microdialysis data. (ABSTRACT TRUNCATED AT 250 WORDS)
MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm

Over the past decades there has been technological breakthrough from analog to digital. Ever since the world war and also the invention of electromagnetic radio, there has always been an urge to know from which direction the signals were arriving to the listener‟s direction finding receiver. The methodology of determining the direction of arrival (DOA) of incoming signals impinging on the uniform antenna array has drastically changed from conventional methods to subspace based methods. The main goal of this paper is to provide a comparative study of various classical multi-channel DOA algorithms and subspace based high resolution multi-channel DOA algorithms for multiple signals which are arriving at different DOA. Also detailed algorithm analysis and performance evaluation for subspace based multiple signal classification (MUSIC) algorithm is provided. It is shown that subspace based high resolution multi-channel MUSIC algorithm is statistically efficient and is a promising method for use against military communication in an electronic warfare direction finding system.