Miracle-dz/UniFAR-FTUs huggingface dataset:
Topic-based place semantics discovered from microblogging text messages

Location-based social network services (LBSNS) such as Foursquare are getting the highlight with the extensive spread of GPS-enabled mobile devices, and a large body of research has been conducted to devise methods for understanding and clustering places. However, in previous studies, the predefined set of semantic categories of places play a critical role in both discovery and evaluation of the results, despite its limited ability to represent the dynamics of the places. We explore beyond the predefined semantic categories of the places and discover topic-based place semantics through the use of Latent Dirichlet Allocation, by extracting topics from the text which people post on site. We also show the proposed method allows for understanding the temporal dynamics of the place semantics. The finding of this study is intended for, but not limited to, context aware services and place recommendation systems.
Framework of Real VANET Simulation Research

Vehicular Ad hoc Networks (VANETs) has a high node mobility speed, frequently changed network topology and limited node movement directions. Simulation is the main method that obtained in the VENET's research. The simulation of VANET includes two main parts: the built of vehicular mobility model and the simulation of self-organizing wireless mobile network. The authenticity of network simulation result is largely determined by the authenticity of the vehicular mobility model. This paper analyzes the category of vehicular mobility models, concludes the basic method to build vehicular mobility models, introduces SUMO as a vehicular mobility model building software and outlooks the future development of VANET simulation technology.
Prefrontal cortex and executive function in young children: a review of NIRS studies

Executive function (EF) refers to the higher-order cognitive control process for the attainment of a specific goal. There are several subcomponents of EF, such as inhibition, cognitive shifting, and working memory. Extensive neuroimaging research in adults has revealed that the lateral prefrontal cortex plays an important role in EF. Developmental studies have reported behavioral evidence showing that EF changes significantly during preschool years. However, the neural mechanism of EF in young children is still unclear. This article reviews recent near-infrared spectroscopy (NIRS) research that examined the relationship between the development of EF and the lateral prefrontal cortex. Specifically, this review focuses on inhibitory control, cognitive shifting, and working memory in young children. Research has consistently shown significant prefrontal activation during tasks in typically developed children, but this activation may be abnormal in children with developmental disorders. Finally, methodological issues and future directions are discussed.
K-Position, Follow, Equation and K-C-Continuation Tree Automata Constructions

There exist several methods of computing an automaton recognizing the language denoted by a given regular expression: In the case of words, the position automaton P due to Glushkov, the c-continuation automaton C due to Champarnaud and Ziadi, the follow automaton F due to Ilie and Yu and the equation automaton E due to Antimirov. It has been shown that P and C are isomorphic and that E (resp. F) is a quotient of C (resp. of P). In this paper, we define from a given regular tree expression the k-position tree automaton P and the follow tree automaton F . Using the definition of the equation tree automaton E of Kuske and Meinecke and our previously defined k-C-continuation tree automaton C, we show that the previous morphic relations are still valid on tree expressions.
Selective and adaptive robotic support of foot clearance for training stroke survivors with stiff knee gait

Interactive control schemes are rapidly gaining popularity in the control of robotic gait trainers. Interactive control allows for the modification of the support level based on the patient's performance. However, only few algorithms exist that adapt the support to the patient's needs. The aim of this study was to assess the feasibility of an adaptive and selective method to support a specific subtask of walking. In this study we focused on providing assistance during foot clearance and analyzed the effects in four chronic stroke survivors whose gait is characterized as stiff knee gait. We recently introduced a method to selectively support the foot clearance by defining a virtual spring between the desired and the actual ankle height. Here, this method was extended with an algorithm that automatically adapts the stiffness of the virtual spring, and consequently, adapts the amount of support to the experienced movement error in the previous steps. The results showed that the stiffness profile converged to a subject specific pattern that varied over the gait cycle and was according to the subject's requirements. The proposed algorithm was used in a training study that specifically aimed at increasing the foot clearance. Preliminary results demonstrated that the training resulted in improved foot clearance, which was accompanied by an increased walking speed. This proposed algorithm reduces the need for the therapist/operator to set the amount of support on a trial and error basis and decreases the chances of reliance on the robotic support.
Robust Controller Identification for a Boost Type DC-DC Converter Using Genetic Algorithm

In this paper, we present a novel method of feedback controller design for a boost type dc-dc converter. The controller design is perceived as an optimization process of dynamic response enhancement and solution is sought through genetic algorithm. The use of exact model of boost converter in conjunction with evolutionary search results in a robust controller structure which guarantees excellent dynamic response at all operating points. Computed and measured results are given to illustrate the new dispensation.
ALBATROSS An Operating-System under hard Realtime-Constraints

Based on the experiences from an autonomous mobile robot project called MOBOT-III, we found hard realtime-constraints for the operating- system-design. ALBATROSS is "A flexible multi-tasking and realtime network-operating-system-kernel". The focusin this article is on a communication-scheme fulfilling the previous demanded assurances. The centralchapters discuss the shared buffer management and the way to design the communication architecture.Some further aspects beside the strict realtime-requirements like the possibilities to control and watch a running system, are mentioned. ALBATROSS is actually implemented on a multi-processor VMEbus-system.
Real-time Facial Expression Recognition Based on Adaptive Canny Operator Edge Detection

In this paper, proposed a method of real-time facial expression recognition based on adaptive Canny operator edge detection. In this method, first used face location based on an adaptive skin color and structure model. Then, used facial expression feature extraction method based on adaptive Canny operator edge detection and AAM (Active Appearance Model) algorithm combined, which reduced the computational complexity and improved the accuracy of feature point location. During the using of Canny operator edge detection, the entire image was divided into multiple sub-images. And according to the edge gradient information of the sub-images, dynamic threshold was generated self-adaptively combined with the characteristics information of global edge gradient, which improved the edge detection results. Finally, used least -squares method to classify and identify the characteristics information. Experiments showed the effectiveness of this method in facial expression recognition and that it can meet the requirements in real-time systems.
CloudGenius: Automated Decision Support for Migrating Multi-Component Enterprise Applications to Clouds

One of the key problems in migrating multi-component enterprise applications to Clouds is selecting the best mix of VM images and Cloud infrastructure services. A migration process has to ensure that Quality of Service (QoS) requirements are met, while satisfying conflicting selection criteria, e.g. throughput and cost. When selecting Cloud services, application engineers must consider heterogeneous sets of criteria and complex dependencies across multiple layers impossible to resolve manually. To overcome this challenge, we present the generic recommender framework CloudGenius and an implementation that leverage well known multi-criteria decision making technique Analytic Hierarchy Process to automate the selection process based on a model, factors, and QoS requirements related to enterprise applications. In particular, we introduce a structured migration process for multi-component enterprise applications, clearly identify the most important criteria relevant to the selection problem and present a multi-criteria-based selection algorithm. Experiments with the software prototype CumulusGenius show time complexities.
Mallat Fusion for Multi-Source Remote Sensing Classification

The fusion of multi-source remote sensing data is to offer improved accuracies in land cover classification. The conventional fusion methods such as HIS and PCA can not enhance information and simultaneously preserve high fidelity. Thus, the fused image is not preferable for classification. In this paper, the multi-source remote sensing data fusion based on Mallat algorithm for classification is proposed. The purpose of fusion is to create a new image that is more suitable for recognition. The topic focuses on the pyramid decomposition and choosing coefficients in the fusion process. The performance of proposed method is assessed by statistical methods and its effectiveness also testified by classification accuracies
An Algorithm for Unsplittable Flow Problem in Flexible Reconfigurable Network

Information infrastructures such as Internet have been a great success in the past few decades and gradually become mature, diversified user requirements continue to grow at a fabulous speed. Multiplex services on secure networked environments are now deemed as an application licensed to customers for use as a trustworthy service on demand. The flexible reconfiguration network is the next step to provide pervasive trustworthy services. A major challenge is the efficient assignment of substrate resources for unsplittable flows which is called Unsplittable Flow Problem (UFP). The problem is an NP-hard variant of max flow and a generalization of single-source edge-disjoint paths with applications to scheduling, load balancing and virtual-circuit routing problems. Current constant-factor approximation algorithms for several natural optimization versions of the problem have been provided but are not suitable for providing multiple services due to the shortest path. In this paper, we first model the problem as an undirected graph with multiple appropriate subroutines, and then provide a Load-balance based resource assignment algorithm for UFP in flexible reconfiguration network. The algorithm tends to make efficient use of the substrate resource by choosing the route which has the minimal average utilization based on load balance, which will leave more resources for future requests and in turn improve the resource utilization. Our simulation experiments demonstrate that the algorithm can achieve good performance.
Comparison of Computed Tomographic and Magnetic Resonance Perfusion Measurements in Acute Ischemic Stroke: Back-to-Back Quantitative Analysis

Background and Purpose— Magnetic resonance perfusion (MRP) and computed tomographic perfusion (CTP) are being increasingly applied in acute stroke trials and clinical practice, yet the comparability of their perfusion values is not well validated. The aim of this study was to validate the comparability of CTP and MRP measures. Methods— A 3-step approach was used. Step 1 was a derivation step, where we analyzed 45 patients with acute ischemic stroke who had both CTP and MRP performed within 2 hours of each other and within 9 hours of stroke onset. In this step, we derived the optimal perfusion map with the least difference between MRP and CTP. In step 2, the optimal map was validated on whole-brain perfusion data of 15 patients. Step 3 was to apply the optimal perfusion map to define cross-modality reperfusion from acute CTP to 24-hour MRP in 45 patients and, in turn, to assess how accurately this predicted 3-month clinical outcome. Results— Among 8 different perfusion maps included in this study, time to peak of the residual function (Tmax) was the only one with a nonsignificant difference between CTP and MRP in delineating perfusion defects. This was validated on whole-brain perfusion data, showing high concordance of Tmax between the 2 modalities (concordance correlation coefficient of Lin, >0.91); the best concordance was at 6 s. At Tmax>6 s threshold, MRP and CTP reached substantial agreement in mismatch classification (&kgr; >0.61). Cross-modality reperfusion calculated by Tmax>6 s strongly predicted good functional outcome at 3 months (area under the curve, 0.979; P<0.05). Conclusions— MRP and CTP can be used interchangeably if one uses Tmax measurement.
A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise

In this paper, a new variational model for restoring blurred images with multiplicative noise is proposed. Based on the statistical property of the noise, a quadratic penalty function technique is utilized in order to obtain a strictly convex model under a mild condition, which guarantees the uniqueness of the solution and the stabilization of the algorithm. For solving the new convex variational model, a primal-dual algorithm is proposed, and its convergence is studied. The paper ends with a report on numerical tests for the simultaneous deblurring and denoising of images subject to multiplicative noise. A comparison with other methods is provided as well.
A trace-based approach for determining the energy consumption of a WLAN network interface

The power consumption of a wireless NIC is a crucial issue because wireless nodes are often constrained by the battery due to strict requirements regarding weight and size. In the paper, we present power consumption measurement results of an Aironet PC4800 PCMCIA wireless interface which is based on Intersil’s PRISM I 802.11 11 MBit/s chipset. Thereby, we vary the transmission rate, the RF transmission power, and the packet size and derive the energy consumption as a further measure. The results can be used to parameterize and to validate simulation models of an IEEE 802.11 network interfaces, and to conduct further research in the field of power saving of WLANs.
Relation of left ventricular hypertrophy to inflammation and albuminuria in adults with type 2 diabetes: the strong heart study.

OBJECTIVE To evaluate in adults with type 2 diabetes the extent to which the relation of left ventricular hypertrophy (LVH) to markers of systemic inflammation (fibrinogen and high-sensitivity C-reactive protein [hsCRP]) are affected by microangiopathy. RESEARCH DESIGN AND METHODS We selected adults with type 2 diabetes using American Diabetes Association criteria from a population-based cohort, excluding those with medical history or electrocardiographic evidence of coronary heart disease or dialysis-dependent renal failure. LVH was assessed by echocardiogram. RESULTS Of the 1299 eligible participants, 384 (29.6%) had LVH, which was associated with higher BMI, hsCRP, fibrinogen, and albuminuria in univariate analyses. After controlling for significant confounders, fibrinogen and albuminuria were higher in the presence of LVH (both P < 0.01), whereas hsCRP was not (P = 0.2), mostly because of the confounding effect of BMI. Adjustment for albuminuria abolished the relation of LVH to higher fibrinogen (P = 0.2). However, fibrinogen was significantly higher in participants with LVH among those without pathologic levels of albuminuria (<30 mg/g creatinuria), but not independent of BMI. Although hsCRP and fibrinogen were moderately correlated, fibrinogen, but not CRP, showed a significant relation with albuminuria. CONCLUSIONS In adults with type 2 diabetes, echocardiographic LVH is associated with susceptibility to atherothrombosis and increased albuminuria, which is a marker of microangiopathy and endothelial dysfunction that appears in turn to be a relevant pathogenetic link between LVH and inflammation. However, in the absence of significant microalbuminuria, elevated BMI is a relevant pathogenetic factor in the relation of LVH to increased levels of markers of inflammation, potentially preceding development of significant albuminuria. In the presence of microangiopathy, we found that the atherothrombotic risk profile associated with LVH was independent of BMI and possibly reflected the association of LVH with a higher degree of endothelial dysfunction.
Screening of toxic potential of graphene family nanomaterials using in vitro and alternative in vivo toxicity testing systems

Objectives The widely promising applications of graphene nanomaterials raise considerable concerns regarding their environmental and human health risk assessment. The aim of the current study was to evaluate the toxicity profiling of graphene family nananomaterials (GFNs) in alternative in vitro and in vivo toxicity testing models. Methods The GFNs used in this study are graphene nanoplatelets ([GNPs]–pristine, carboxylate [COOH] and amide [NH2]) and graphene oxides (single layer [SLGO] and few layers [FLGO]). The human bronchial epithelial cells (Beas2B cells) as in vitro system and the nematode Caenorhabditis elegans as in vivo system were used to profile the toxicity response of GFNs. Cytotoxicity assays, colony formation assay for cellular toxicity and reproduction potentiality in C. elegans were used as end points to evaluate the GFNs’ toxicity. Results In general, GNPs exhibited higher toxicity than GOs in Beas2B cells, and among the GNPs the order of toxicity was pristine>NH2>COOH. Although the order of toxicity of the GNPs was maintained in C. elegans reproductive toxicity, but GOs were found to be more toxic in the worms than GNPs. In both systems, SLGO exhibited profoundly greater dose dependency than FLGO. The possible reason of their differential toxicity lay in their distinctive physicochemical characteristics and agglomeration behavior in the exposure media. Conclusions The present study revealed that the toxicity of GFNs is dependent on the graphene nanomaterial’s physical forms, surface functionalizations, number of layers, dose, time of exposure and obviously, on the alternative model systems used for toxicity assessment.
Hydra: An Ubiquitous Application for Service Rerouting

Computing devices are increasingly being incorporated into the physical environment that surrounds us, with smaller, cheaper, more reliable and lower power consumption appliances being manufactured. Presently, there is a profusion of mobile devices with multiple resources such as cameras, screens, keyboards, speakers, recorders and many others. These resources are commonly replicated in the environment, making the task of allocating them in a seamless and shared way a challenge to the users. In this scenario, this work presents the modeling and implementation of Hydra, an application that recognizes the available resources and dynamically reroutes them, according to the users necessities. It runs on the uOS middleware, developed focusing on service adaptability in smart spaces. Thus, Hydra application integrates resources in the environment in order to provide the most adequate services to users.
Effect of CO2 Flow Rate on the Pinang Frond-Based Activated Carbon for Methylene Blue Removal

Activated carbons are regularly used the treatment of dye wastewater. They can be produced from various organics materials having high level of carbon content. In this study, a novel Pinang frond activated carbon (PFAC) was produced at various CO2 flow rates in the range of 150–600 mL/min at activation temperature of 800°C for 3 hours. The optimum PFAC sample is found on CO2 flow rate of 300 mL/min which gives the highest BET surface area and pore volume of 958 m2/g and 0.5469 mL/g, respectively. This sample shows well-developed pore structure with high fixed carbon content of 79.74%. The removal of methylene blue (MB) by 95.8% for initial MB concentration of 50 mg/L and 72.6% for 500 mg/L is achieved via this sample. The PFAC is thus identified to be a suitable adsorbent for removing MB from aqueous solution.
Transactions on Dependable and Secure Computing Non-cooperative Location Privacy

—In mobile networks, authentication is a required primitive for most security protocols. Unfortunately, an adversary can monitor pseudonyms used for authentication to track the location of mobile nodes. A frequently proposed solution to protect location privacy suggests that mobile nodes collectively change their pseudonyms in regions called mix zones. This approach is costly. Self-interested mobile nodes might thus decide not to cooperate and jeopardize the achievable location privacy. In this paper, we analyze non-cooperative behavior of mobile nodes by using a game-theoretic model, where each player aims at maximizing its location privacy at a minimum cost. We obtain Nash equilibria in static n-player complete information games. As in practice mobile nodes do not know their opponents' payoffs, we then consider static incomplete information games. We establish that symmetric Bayesian-Nash equilibria exist with simple threshold strategies. By means of numerical results, we predict behavior of selfish mobile nodes. We then investigate dynamic games where players decide to change their pseudonym one after the other and show how this affects strategies at equilibrium. Finally, we design protocols-PseudoGame protocols-based on the results of our analysis and simulate their performance in vehicular network scenarios.
Dark matters: on the surveillance of blackness

connecting to the framework in their example and analyses. Additionally, the “Bodies” section reads more disparate than “Passions” and “Labor” and features articles that are not as readily assigned to a singular theme. The strength of Cupcakes, Pinterest, and Ladyporn lies in its sheer range of contributions that illustrate the salience of examining “feminized cultures” in contemporary media. The authors convincingly reveal the feminization of audiences and products targeted towards women and illustrate the ways in which these re-inscribe traditional marginalizations of patriarchy, white supremacy, and gender normativity. Additionally, the book engages its readers visually through many printed images, which aids readers’ ability to engage with the authors’ critiques and artifacts more vividly. The timeliness of the examples and objects of analyses proliferates the book’s potential for use in the undergraduate and graduate classroom, e.g., in coursework on gender and media, feminist media studies, critical/cultural studies, gender and technology, and digital media at large. Cupcakes, Pinterest, and Ladyporn may also facilitate a historical overview of the feminization of media by allowing students to compare and contrast media texts and their effects on culture and gender. Through its diverse contributions, this edited volume successfully illustrates what “feminized cultures” produce in a society obsessed with niche marketing and narrowcasting. Hence, the volume effectively dovetails with contemporary conversations on the depictions of women in media (Alana A. Ruggiero 2012), digital labor by women (Brooke e. Duffy 2015; Ursula Huws 2014), and post-feminist digital cultures (Amy s. Dobson 2015). Through its manifold critiques of digital media, cultural products, and gendered spaces, Cupcakes, Pinterest, and Ladyporn has the potential to reinvigorate contemporary scholarship in feminist media studies and bring “feminized cultures” back into focus.