Miracle-dz/UniFAR-FTUs huggingface dataset:
Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study.

OBJECTIVES We examined associations between neighborhood demographic characteristics and the availability of commercial physical activity-related outlets by zip code across the United States. METHODS Multivariate analyses were conducted to assess the availability of 4 types of outlets: (1) physical fitness facilities, (2) membership sports and recreation clubs, (3) dance facilities, and (4) public golf courses. Commercial outlet data were linked by zip code to US Census Bureau population and socioeconomic data. RESULTS Results showed that commercial physical activity-related facilities were less likely to be present in lower-income neighborhoods and in neighborhoods with higher proportions of African American residents, residents with His-panic ethnicity, and residents of other racial minority backgrounds. In addition, these neighborhoods had fewer such facilities available. CONCLUSIONS Lack of availability of facilities that enable and promote physical activity may, in part, underpin the lower levels of activity observed among populations of low socioeconomic status and minority backgrounds.
GUILDify: a web server for phenotypic characterization of genes through biological data integration and network-based prioritization algorithms

SUMMARY Determining genetic factors underlying various phenotypes is hindered by the involvement of multiple genes acting cooperatively. Over the past years, disease-gene prioritization has been central to identify genes implicated in human disorders. Special attention has been paid on using physical interactions between the proteins encoded by the genes to link them with diseases. Such methods exploit the guilt-by-association principle in the protein interaction network to uncover novel disease-gene associations. These methods rely on the proximity of a gene in the network to the genes associated with a phenotype and require a set of initial associations. Here, we present GUILDify, an easy-to-use web server for the phenotypic characterization of genes. GUILDify offers a prioritization approach based on the protein-protein interaction network where the initial phenotype-gene associations are retrieved via free text search on biological databases. GUILDify web server does not restrict the prioritization to any predefined phenotype, supports multiple species and accepts user-specified genes. It also prioritizes drugs based on the ranking of their targets, unleashing opportunities for repurposing drugs for novel therapies. AVAILABILITY AND IMPLEMENTATION Available online at http://sbi.imim. es/GUILDify.php
Curved Glide-Reflection Symmetry Detection

We generalize the concept of bilateral reflection symmetry to curved glide-reflection symmetry in 2D euclidean space, such that classic reflection symmetry becomes one of its six special cases. We propose a local feature-based approach for curved glide-reflection symmetry detection from real, unsegmented 2D images. Furthermore, we apply curved glide-reflection axis detection for curved reflection surface detection in 3D images. Our method discovers, groups, and connects statistically dominant local glide-reflection axes in an Axis-Parameter-Space (APS) without preassumptions on the types of reflection symmetries. Quantitative evaluations and comparisons against state-of-the-art algorithms on a diverse 64-test-image set and 1,125 Swedish leaf-data images show a promising average detection rate of the proposed algorithm at 80 and 40 percent, respectively, and superior performance over existing reflection symmetry detection algorithms. Potential applications in computer vision, particularly biomedical imaging, include saliency detection from unsegmented images and quantification of deviations from normality. We make our 64-test-image set publicly available.
Increased &ggr;-Aminobutyric Acid Levels in Mouse Brain Induce Loss of Righting Reflex, but Not Immobility, in Response to Noxious Stimulation

BACKGROUND:The general anesthetic state comprises behavioral and perceptual components, including amnesia, unconsciousness, and immobility. &ggr;-Aminobutyric acidergic (GABAergic) inhibitory neurotransmission is an important target for anesthetic action at the in vitro cellular level. In vivo, however, the functional relevance of enhancing GABAergic neurotransmission in mediating essential components of the general anesthetic state is unknown. Gabaculine is a GABA-transaminase inhibitor that inhibits degradation of released GABA, and consequently increases endogenous GABA in the central nervous system. Here, we examined, behaviorally, the ability of increased GABA levels to produce components of the general anesthetic state. METHODS:All drugs were administered systemically in adult male ddY mice. To assess the general anesthetic components, two end-points were used. One was loss of righting reflex (LORR; as a measure of unconsciousness); the other was loss of movement in response to tail-clamp stimulation (as a measure of immobility). RESULTS:Gabaculine induced LORR in a dose-dependent fashion with a 50% effective dose of 100 (75–134; 95% confidence limits) mg/kg. The behavioral and microdialysis studies revealed that the endogenous GABA-induced LORR occurred in a brain concentration-dependent manner. However, even larger doses of gabaculine (285–400 mg/kg) produced no loss of tail-clamp response. In contrast, all the tested volatile anesthetics concentration-dependently abolished both righting and tail-clamp response, supporting the evidence that volatile anesthetics act on a variety of molecular targets. CONCLUSIONS:These findings indicate that LORR is associated with enhanced GABAergic neurotransmission, but that immobility in response to noxious stimulation is not, suggesting that LORR and immobility are mediated through different neuronal pathways and/or regions in the central nervous system.
Clinical features and outcome of T-cell acute lymphoblastic leukemia in childhood with respect to alterations at the TAL1 locus: a Pediatric Oncology Group study.

Alteration of the TAL1 locus is the most common nonrandom genetic defect in childhood T-cell acute lymphoblastic leukemia (T-ALL). To determine if rearrangements of the TAL1 proto-oncogene confer a distinct leukemic phenotype, we studied leukemic peripheral blood or bone marrow samples from 182 children with newly diagnosed T-ALL enrolled on Pediatric Oncology Group treatment protocols. Forty-eight (26%) of the samples had a local rearrangement of the TAL1 locus. Demographic and clinical features were compared for patient subgroups with and without TAL1 rearrangements. The only clinical correlates that were significantly associated with TAL1 gene rearrangements were higher white blood cell count (P = .017) and higher hemoglobin (P = .007) at diagnosis. Immunophenotypically, samples with altered TAL1 were more likely to be CD2+ (P = .001) and lack CD10 (cALLa) expression (P = .007) than those without the rearrangement. There was a trend toward improved event-free survival (EFS) in patients with TAL1 rearrangements (4-year EFS was 44% +/- 7% for patients without the rearrangements v 59% +/- 11% for those with rearrangements), but the difference was not significant (P = .34). The role of TAL1 in leukemogenesis has yet to be clearly defined, and the prognostic significance of TAL1 gene rearrangements in T-ALL deserves further study.
Modeling Framework of Hybrid Method for Site Selection of Dry Port: A Case Study in Southern Region of Thailand

International trade is considered as one of the most important areas to drive the economy of Thailand. With goods moved and stored on a regular basis, the nation’s logistics cost per GDP is quite high on account of relying mainly on the road mode, where freight transport is heavily linked to fuel price. The solution to reduce costs may be by using intermodal transport, where a dry port is regarded as a crucial part. The southern region is selected as a case study because of particular reasons of the peninsula (particularly, seaports along both coasts) and the possible rise of cross-border and global trade with Malaysia and other territories. In this study, the modeling framework for site selection of a dry port, including the systematic SEM-MACBETH-PROMETHEE approach is proposed. Different sample sizes were compared as a sensitivity analysis. Results show that Hatyai railway station is the most attractive location as a dry port in southern Thailand.
Cortical Regional Hyperperfusion in Nonconvulsive Status Epilepticus Measured by Dynamic Brain Perfusion CT

BACKGROUND AND PURPOSE: Nonconvulsive status epilepticus (NCSE) is associated with a mortality rate of up to 18%, therefore requiring prompt diagnosis and treatment. Our aim was to evaluate the diagnostic value of perfusion CT (PCT) in the differential diagnosis of NCSE versus postictal states in patients presenting with persistent altered mental states after a preceding epileptic seizure. We hypothesized that regional cortical hyperperfusion can be measured by PCT in patients with NCSE, whereas it is not present in postictal states. MATERIALS AND METHODS: Nineteen patients with persistent altered mental status after a preceding epileptic seizure underwent PCT and electroencephalography (EEG). Patients were stratified as presenting with NCSE (n = 9) or a postictal state (n = 10) on the basis of clinical history and EEG data. Quantitative and visual analysis of the perfusion maps was performed. RESULTS: Patients during NCSE had significantly increased regional cerebral blood flow (P > .0001), increased regional cerebral blood volume (P > .001), and decreased (P > .001) mean transit time compared with the postictal state. Regional cortical hyperperfusion was depicted in 7/9 of patients with NCSE by ad hoc analysis of parametric perfusion maps during emergency conditions but was not a feature of postictal states. The areas of hyperperfusion were concordant with transient clinical symptoms and EEG topography in all cases. CONCLUSIONS: Visual analysis of perfusion maps detected regional hyperperfusion in NCSE with a sensitivity of 78%. The broad availability and short processing time of PCT in an emergency situation is a benefit compared with EEG. Consequently, the use of PCT in epilepsy may accelerate the diagnosis of NCSE. PCT may qualify as a complementary diagnostic tool to EEG in patients with persistent altered mental state after a preceding seizure.
Correlation of Gene‐specific Damage with Cisplatin between Human Adenocarcinoma Cells and Peripheral Blood Mononuclear Cells Analyzed by Polymerase Chain Reaction‐stop Assay

We investigated gene‐specific damage in adenocarcinoma cells, obtained from pleural effusions of 9 primary lung cancer patients, induced by incubation with cisplation for 3 h in vitro. The 2.7 kb fragment of the hypoxanthine phosphoribosyltransferase (HPRT) gene was amplified by the polymerase chain reaction (PCR) to quantify the DNA damage. A 7‐fold difference in the extent of gene‐specific damage among the patients was observed. Mononuclear cells (MNC) were obtained from freshly isolated blood from the same patients before they received chemotherapy. These cells were also incubated with cisplatin in vitro, and PCR amplification of the HPRT gene was carried out. A 4‐fold variation of DNA damage among the patients was observed. Moreover, there was a linear correlation between the extents of the DNA damage in the tumor cells and MNCs (R2=0.676, P=0.0016). These results suggest that the PCR‐stop assay could be used to detect interindividual variations in the extent of gene‐specific damage in both tumor cells and MNC from the same patients induced by cisplatin treatment. In conclusion, MNC could be used to analyze cisplatin‐induced gene‐specific damage in cancer patients whose tumor cells are inaccessible.
BLUETOOTH AD-HOC SENSOR NETWORK

Hop Count – number of hops to the ending node BCID – unique RREQ identifier Destination Address – address to which the route is requested DSN – the last known sequence number Source Address – address of the node that issued RREQ SSN – current route sequence number RREP: Hop Count Destination Address DSN Source Address Lifetime Hop Count – numer of hops between the source and destination Destination Address – address of node for which a route is found DSN – route sequence number Source Address – address of the node that sent RREQ Lifetime – time in which the route is considered valid RERR: DestCount Unreachable Dest Address Unreachable DSN DestCount – number of unreachable nodes Unreachable Dest Address – address of the unreachable node Unreachable DSN – last knows DSN, incremented by 1 I ABSTRACT In this paper, we will describe a new application of mobile communications – a wireless, sensor, multihop ad-hoc network for data acquisition and remote administration using the Bluetooth technology. The goal of this project is to create a complete hardware/software specification for replacing and/or upgrading the existing wire systems for data acquisition and process control. The idea is based upon the expectation that Bluetooth modules, due to their performance and price, will be the standard parts of most electronic systems: from mobile phones, personal digital assistants and industry control units to home appliances. However, because Bluetooh devices are short-range radio devices and, as such, are not suitable for large-scale networks, a multihop ad-hoc routing protocol is required to extend the range of a Bluetooth device by enabling routing of messages through intermediate mobile Bluetooh nodes, thus creating a multihop mobile network. Therefore, we started with the following intention: to connect a Bluetooth moduele with a microcontroller that will execute the routing protocol, forming a universal base for the wireless ad-hoc communication. The final goal is the integration of the routing protocol on the base Bluetooth chip, which eliminates the need for additional microcontrollers. Every device equipped with a Bluetooth chip would then be a potential node in a global ad-hoc network. II SYSTEM OVERVIEW In this project an open data acquisition and processing system based on a wireless ad-hoc multihop sensor network was designed. Network was realized using Bluetooth modules with routing protocol implemented on a separate hardware module (Interface and Routing Module – IFRM) based on Microchip's microcontroller PIC17C756A. In order …
Seasonal stratospheric intrusion of ozone in the upper troposphere over India

The Model for Ozone and Related chemical Tracers-2 (MOZART-2) is used to examine the evolution of pollutant O3 in the upper troposphere over the Indian region. Vertical profiles of ozone mixing ratio retrieved from Mi- crowave Limb Sounder (MLS) aboard Earth Observing Sys- tem (EOS) AURA satellite for the period 2005-2009 and Tropospheric Emission Spectrometer (TES) aboard (EOS) AURA for the period 2006-2007 has been analyzed. The satellite observations reveal the evidence of downward prop- agation of ozone (100-200 ppb) due to stratospheric intru- sion during the winter and pre-monsoon seasons. The regu- lar feature of enhancement of ozone in the upper troposphere over India is presented. Results obtained by the MOZART-2 simulations (for years 2000-2005) confirm the observations and indicate stratospheric intrusion of O 3 during winter and pre-monsoon seasons. Observed enhanced O3 mixing ratio in the upper troposphere is explained by, variation of Po- tential Vorticity (PV), tropopause pressure, relative humidity and CO-O3 correlation.
Evaluation of LTE HetNet deployments with realistic traffic models

LTE Hetnet deployments using pico cells raise many questions regarding their deployment and operation. This study addresses some key questions using a system simulator and three different traffic models, FTP, HTTP and real-time video. Uplink and downlink are considered. Conclusions drawn from previous work are verified using these models. It is found that system throughput or user satisfaction is increased if macro UEs can be offloaded to the pico layer. This requires pico placement adjacent to user hot-spots and pico cell enlargement using cell range extension (CRE) or increased pico transmit powers. The pico count can be halved by a 6dB increase in pico size. CRE values of 6dB or greater benefit from interference reduction from almost blank subframes (ABS). Additionally, splitting the frequency band (re-use 2) reduces the cell area throughput except under high pico densities.
Neogotiation Through Argumentation - A Preliminary Report

The need for negotiation in multi-agent systems stems from the requirement for agents to solve the problems posed by their interdependence upon one another. Ne- gotiation provides a solution to these problems by giv- ing the agents the means to resolve their conflicting objectives, correct inconsistencies in their knowledge of other agents' world view, and coordinate a joint ap- proach to domain tasks which benefits all the agents concerned. We propose a framework, based upon a system of argumentation, which permits agents to ne- gotiate to establish acceptable ways to solve problems. offer concessions, and (hopefully) come to a mutually acceptable agreement--in other words to negotiate. This paper presents a well-grounded framework for describing the reasoning process of negotiating agents. This framework is based upon a system of argumenta- tion which may be used both at the level of all agent's internal reasoning and at the level of negotiation be- tween agents. An originating agent puts forward an initial proposal. The recipient agents evaluate the pro- posal by constructing arguments for and against it. If the proposal is unacceptable, the recipient constructs an argument against the initial proposal or in favour of a new alternative. This process continues until a proposal or counter-proposal is acceptable to all the parties involved or until the negotiation breaks down without an agreement. This paper presents a formal model covering the essence of the negotiation process which can be spe- cialised to describe specific strategies and tactics, all integrated framework for assessing proposals and for generating appropriate counter-proposals, and an in- tuitively appealing way of conducting reasoning and negotiation in the presence of imprecise and missing information.
Implementation of Mobile-Cloudlet-Cloud Architecture for Face Recognition in Cloud Computing using Android Mobile

Real time face recognition applications use face recognition algorithms, which extract information such as shape, size, and position of facial features (eyes, nose, ear, lips) and then compare this extracted feature to stored featured database to locate matching images. Face recognition application used in airport security, in passport office, in R.T. O office, in government organization, in development and research department. In this paper we implement a application which recognize a face and minimize computation time using our mobile-cloudlet-cloud architecture named MOCHA. And also develop an algorithm for percent variance. Our experimental result demonstrate that we can communicate anywhere from the world by using jelastic cloud. We will run application on mobile devices using jelastic cloud as the backend server. Keywords-Face detection, Face recognition, Jelastic cloud, Cloudlet, mobile devices
Combining Domain-Independent Planning and HTN Planning: The Duet Planner

Despite the recent advances in planning for classical domains, the question of how to use domain knowledge in planning is yet to be completely and clearly answered. Some of the existing planners use domain-independent search heuristics, and some others depend on intensively-engineered domain-specific knowledge to guide the planning process. In this paper, we describe an approach to combine ideas from both of the above schools of thought. We present Duet, our planning system that incorporates the ability of using hierarchical domain knowledge in the form of Hierarchical Task Networks (HTNs) as in SHOP2 [14] and using domain-independent local search techniques as in LPG [8]. In our experiments, Duet was able to solve much larger problems than LPG could solve, with only minimal domain knowledge encoded in HTNs (much less domain knowledge than SHOP2 needed to solve those problems by itself).
Topological Dependency Trees: A Constraint-Based Account of Linear Precedence

We describe a new framework for dependency grammar, with a modular decomposition of immediate dependency and linear precedence. Our approach distinguishes two orthogonal yet mutually constraining structures: a syntactic dependency tree and a topological dependency tree. The syntax tree is nonprojective and even non-ordered, while the topological tree is projective and partially ordered.
Comparison of the root-end seal provided by bioceramic repair cements and White MTA.

AIM To compare the ability of Ceramicrete, BioAggregate and white ProRoot MTA (mineral trioxide aggregate) to prevent glucose leakage through root-end fillings. METHODOLOGY After root canal instrumentation, the apical 3 mm of maxillary incisors were resected and retropreparations, 3 mm in depth, were created with ultrasound. Root-end cavities were filled with the tested materials (15 roots per group). All roots were mounted in a double-chamber system to assess glucose penetration using 15 psi pressure application. After 1 h, glucose concentrations in the lower chamber were measured following an enzymatic reaction. Four roots were used as controls. One-way anova verified differences in glucose leakage between groups and Tukey test performed multiple comparisons. Significance was set at α = 5%. RESULTS There was a significant difference between the three materials (anova, P < 0.05). Ceramicrete had significantly lower glucose penetration than BioAggregate (Tukey, P < 0.05). There was no difference between the two bioceramic cements and white MTA (P > 0.05). CONCLUSIONS Both endodontic bioceramic repair cements displayed similar leakage results to white MTA when used as root-end fillings materials. Ceramicrete had significantly lower glucose penetration.
Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames

In this paper, we investigate detection and localization of general 3D object classes by relating local scale-invariant features to a viewpoint invariant reference frame. This can generally be achieved by either a multi-view representation, where features and reference frame are modeled as a collection of distinct views, or by a viewpoint invariant representation, where features and reference frame are modeled independently of viewpoint. We compare multi-view and viewpoint invariant representations trained and tested on the same data, where the viewpoint invariant approach results in fewer false positive detections and higher average precision. We present a new, iterative learning algorithm to determine an optimal viewpoint invariant reference frame from training images in a data-driven manner. The learned optimal reference frame is centrally located with respect to the 3D object class and to image features in a given view, thereby minimizing reference frame localization error as predicted by theory and maintaining a consistent geometrical interpretation with respect to the underlying object class. Modeling and detection based on the optimal reference frame improves detection performance for both multiview and viewpoint invariant representations. Experimentation is performed on the class of 3D faces, using the public color FERET database for training, the CMU profile database for testing and SIFT image features.