Miracle-dz/UniFAR-FTUs huggingface dataset:
VIA A TGN SUBDOMAIN ENRICHED IN SYNTAXINS 6 AND 16 BUT NOT TGN 38 : INVOLVEMENT OF AN ACIDIC TARGETING MOTIF

These authors contributed equally to this work Institute for Molecular Biosciences and Department of Physiology & Pharmacology University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia Garvan Institute of Medical Research, St. Vincent’s Hospital, 384 Victoria St. Darlinghurst, 2010, NSW, Australia Membrane Biology Laboratory, Institute of Molecular and Cell Biology, National University of Singapore, 30 Medical Drive, Singapore 117609 To whom all correspondence should be addressed Tel. +61 (02) 9295 8210 Fax +61 (02) 9295 8201 Email D.James@garvan.org. au
Power and sample size calculations for interval‐censored survival analysis

We propose a method for calculating power and sample size for studies involving interval‐censored failure time data that only involves standard software required for fitting the appropriate parametric survival model. We use the framework of a longitudinal study where patients are assessed periodically for a response and the only resultant information available to the investigators is the failure window: the time between the last negative and first positive test results. The survival model is fit to an expanded data set using easily computed weights. We illustrate with a Weibull survival model and a two‐group comparison. The investigator can specify a group difference in terms of a hazards ratio. Our simulation results demonstrate the merits of these proposed power calculations. We also explore how the number of assessments (visits), and thus the corresponding lengths of the failure intervals, affect study power. The proposed method can be easily extended to more complex study designs and a variety of survival and censoring distributions. Copyright © 2015 John Wiley & Sons, Ltd.
Involvement of rho-kinase activation in the pathogenesis of coronary hyperconstricting responses induced by drug-eluting stents in patients with coronary artery disease.

BACKGROUND Activation of Rho-kinase plays a central role in the pathogenesis of drug-eluting stents (DES)-induced coronary hyperconstricting responses in pigs in vivo has been previously demonstrated. In the present study, Rho-kinase activation involved in those responses in patients with coronary artery disease (CAD) is examined. METHODS AND RESULTS In 24 patients with CAD who underwent coronary intervention with either DES or bare-metal stents (BMS), coronary vasomotor responses to intracoronary acetylcholine (ACh) before and after intracoronary pre-treatment with a Rho-kinase inhibitor, fasudil was examined. Coronary vasomotor responses by quantitative coronary angiography (QCA) and coronary vascular structure by optical coherence tomography (OCT) was evaluated. QCA showed that the coronary vasoconstricting responses to ACh were significantly enhanced in the DES group compared with the BMS group both at the proximal and the distal segments adjacent to the stents (proximal: BMS -13.0±10.7% vs. DES -25.4±14.3%, P=0.036; distal: BMS -24.4±12.2% vs. DES -43.8±14.7%, P=0.003). Importantly, fasudil markedly attenuated the enhanced vasoconstricting responses to ACh in the DES group (proximal 10.2±11.7%, distal 14.4±10.5% vs. before fasudil, both P<0.01). In the OCT imaging analysis, there was no significant correlation between intimal thickness and coronary vasoconstriction to ACh. CONCLUSIONS These results indicate that Rho-kinase activation is substantially involved in the pathogenesis of the DES-induced coronary hyperconstricting responses in patients with CAD, suggesting the therapeutic importance of Rho-kinase pathway.
Estimating the size of the transitive closure in linear time

Computing transitive closure and reachability information in directed graphs is a fundamental graph problem with many applications. The fastest known algorithms run in O(sm) time for computing all nodes reachable from each of 1/spl les/s/spl les/n source nodes, or, using fast matrix multiplication, in O(n/sup 2.38/) time for computing the transitive closure, where n is the number of nodes and m the number of edges in the graph. In query optimization in database applications it is often the case that only estimates on the size of the transitive closure and on the number of nodes reachable from certain nodes are needed. We present an O(m) time randomized algorithm that estimates the number of nodes reachable from every node and the size of the transitive closure. We also obtain a O/spl tilde/(m) time algorithm for estimating sizes of neighborhoods in directed graphs with nonnegative weights, avoiding the O/spl tilde/(mn) time bound of explicitly computing these neighborhoods. Our size-estimation algorithms are much faster than performing the actual computations and improve significantly over previous estimation methods. <<ETX>>
Composite Indicator for measuring the world interest by Portugal’s Tourism

Tourism is a phenomenon with unique characteristics and particularities, which makes its measurement difficult. The rapid changes in society and consumer behaviour associated with the countries’ economic situation have made the collection of statistical data difficult, impacting on the dissemination of updated and relevant indicators. This fact evidences the difficulty in having timely knowledge of the sector and consequently the tourism stakeholder’s hard and imprecise decision-making. The Internet has proved to be an important source of data, and it is possible, through tools like Google Trends (GT), to know timely the interests and intentions of potential consumers in tourism. The objective of this paper is to present a methodology for building a composite indicator to measure the world interest of Portugal as a tourist destination. The composite indicator is conceptually based on the classification of activities and products’ characteristics of tourism that are part of the proposed tourism supply defined in the Tourism Satellite Accounts (TSA). Primary indicators were collected over a year using GT and weighted with indicators of total tourist consumption in Portugal. Our findings indicate that the interest of Internet users worldwide by tourism in Portugal varies throughout the year and the interest of search differs according to the tourism product characteristics.
Effects of Service Experience on Behavioral intentions: Serial Multiple Mediation Model

Abstract This study investigates the relationships among service experience, emotions, perceived value, satisfaction and behavioral intentions in a wellness spa service context. This paper focuses on the mediating effects of emotions, perceived value, and satisfaction on the relationship between service experience and behavioral intentions; no previous study has examined the complete mediating relationship among these variables. Data were collected through a survey of 500 Thai day spagoers in five major cities in Thailand. The results show that emotions, perceived value, and satisfaction sequentially mediate the relationship between service experience and behavioral intentions; however, the direct effects are nonsignificant, indicating full mediation. Significant relationships were found among service experience, emotions, perceived value, satisfaction and behavioral intentions, providing a more holistic view of Thai spagoers’ decision-making process. This paper presents the theoretical and practical implications of these findings.
Spatial query processing for wireless sensor networks

Redes de sensores sem fio (RSSF) sao tipicamente utilizadas para realizar coleta de dados em regioes geograficas bem definidas. As requisicoes que utilizam atributos geograficos para definir a regiao de coleta sao denominadas requisicoes espaciais. Tais requisicoes sao definidas em linguagens derivadas do SQL, as quais expressam a regiao de coleta de dados (chamada regiao de interesse) por meio de atributos geograficos, como pontos e poligonos. Esse tipo de requisicao economiza energia, uma vez que restringe a coleta de dados somente a regiao de interesse. Este trabalho propoe uma discussao geral sobre processamento de requisicoes espaciais em RSSF e um novo mecanismo, eficiente em relacao ao consumo de energia, para realizar esse tipo de processamento. Na discussao sobre o tema, o processamento de requisicoes espaciais e dividido em estagios, o que facilita seu entendimento e a proposta de novas solucoes. Verifica-se que os trabalhos relacionados consideram regioes de interesse retangulares ou circulares. Ate o presente momento, nao foram encontrados trabalhos que considerem regioes de interesse em forma de poligonos, os quais podem representar objetos reais plotados sobre mapas ou fotos de satelite. Alem disso, tais trabalhos geralmente consideram nos sempre ativos. Entretanto, eles podem falhar por diversos motivos ou adormecer para economizar energia. Isso muda a topologia da rede, o que tambem aumenta o consumo de energia uma vez que os nos devem enviar mensagens de controle no intuito de atualizar as tabelas de rota de seus vizinhos. O mecanismo aqui proposto foi desenvolvido para processar requisicoes que possuem regioes de interesse em forma de poligono, RSSF com nos propicios a falhas e nos que adormecem para economizar energia. Os experimentos mostram que, quando comparado ao estado da arte, o mecanismo proposto aumenta consideravelmente o numero de requisicoes que obtem resposta e consome cerca de quatro vezes menos energia.
Analysis of human factors to the adoption of Internet of Things-based services in informal settlements in Cape Town

There are many challenges for the adoption of the Internet of Things (IoT). These include issues like reliability, power, connectivity, regulation, cross-border traffic, privacy, security and interoperability challenges. Much of the literature on the IoT focus on these technical and policy factors, and usually in the context of developed countries. This study explores the non-technical i.e. human factors that influence the adoption of the Internet of Things based services in informal settlements. The IoT-enabled services presented in this study are used in potentially life threatening situations with notification provided in the form of an audio warning, a light or a change in light colour as well as a text message sent to the participant's cellular phone. Some of the findings in this study concerning an individual's willingness to adopt such a service were expected. These include affordability and knowledge of the technology itself. Other core factors investigated include: whether the participant's basic needs are fulfilled before/by using the service; the level of scepticism of residents; the degree with which the technology or service affects one's level of safety and security; and whether there is a benefit to the greater community.
Selective Normalized Subband Adaptive Filter With Subband Extension

We present a novel subband adaptive filtering (SAF) algorithm that selects a subset of subbands and uses them to update the adaptive filter weight. The normalized SAF (NSAF) algorithm has a tradeoff between the number of subbands and the convergence speed. As the number of subbands increases, the convergence speed gets faster. However, employing an increased number of subbands raises the computational complexity. To improve the convergence speed, we first extend the number of subbands and then develop a selective scheme exploiting an efficient subset of the extended subbands so as to remove redundancy in the computational complexity. We show that subbands with a larger ratio of the corresponding squared error to an input power should be selected to achieve a similar performance to that of the extended subband adaptive filter. Experimental results show that the proposed NSAF algorithm has better convergence performance compared with the conventional NSAF algorithm.
Managerial–Consumer Eco-Harmful Media Perceptions and Eco-Conscious Attitudes

This study underscores the importance of considering a medium's broader effects. Research demonstrates that a medium's perceived eco-harmful impact affects communication effectiveness because a medium itself can act as a constituent of the message. The current study, conducted in Sweden, explores managers' estimates of consumer eco-harmful perceptions of 10 paper- and electronic-based media. Managers tend to mis-estimate consumers' eco-harmful media perceptions; these estimates are driven by managers' eco-conscious attitudes. Further, advertising on more eco-harmful media is associated with irritating characteristics, while advertising on less eco-harmful media is associated with good and trustworthy characteristics. Managerial implications are given for communication effectiveness in contexts where environmental concerns are particularly relevant.
A Multiple Case Study of the Interagency Relationship Between School Administrators and Law Enforcement Personnel in the Creation, Implementation, and Sustaining of School Emergency Management Plans

The purpose of this qualitative multiple case study was to examine how the interorganizational relationship between school administrators and law enforcement personnel with diverse cultures, missions, and objectives collaborates to create, implement, and sustain emergency management readiness. The theoretical concept that guided this study involved interorganizational theories as they relate to two or more organizations working together toward a common goal. This study used purposeful sampling of 12 participants from three school districts from the states of Alabama, New Mexico, and Illinois. Interviews, documents, and artifacts, such as school safety plans, school safety drills, safety audits, and Safe School rubrics, were analyzed as part of the data collection process. Results indicated that the creation of emergency management plans is primarily the work of district administrators. The implementation process included district administrators and building principals with minimal input of law enforcement personnel. However, the process of sustaining school emergency plans is a joint effort between school and law enforcement personnel. Analysis of data affirmed the importance of having an effective interorganizational relationship between school and law enforcement personnel in the context of school safety to create an effective emergency management plan in the school.
Inducible and neuronal nitric oxide synthases (NOS) have complementary roles in recovery sleep induction

Sleep homeostasis is the process by which recovery sleep is generated by prolonged wakefulness. The molecular mechanisms underlying this important phenomenon are poorly understood. We have previously shown that nitric oxide (NO) generation increases in the basal forebrain (BF) during sleep deprivation (SD). Moreover, both NO synthase (NOS) inhibition and a NO scavenger prevented recovery sleep induction, while administration of a NO donor during the spontaneous sleep–wake cycle increased sleep, indicating that NO is necessary and sufficient for the induction of recovery sleep. Next we wanted to know which NOS isoform is involved in the production of recovery sleep. Using in vivo microdialysis we infused specific inhibitors of NOS into the BF of rats during SD, and found that an inhibitor of inducible NOS (iNOS), 1400W, prevented non‐rapid eye movement (NREM) recovery, while an inhibitor of neuronal NOS (nNOS), L‐N‐propyl‐arginine, decreased REM recovery but did not affect NREM recovery. Using immunoblot analysis we found that iNOS was not expressed during the spontaneous sleep–wake cycle, but was induced by prolonged wakefulness (increased by 278%). A known iNOS inducer, lipopolysaccharide, evoked an increase in sleep that closely resembled recovery sleep, and its effects were abolished by 1400W. These results suggest that the elevation of NO produced by induction of iNOS in the BF during prolonged wakefulness is a specific mechanism for producing NREM recovery sleep and that the two NOS isoforms have a complementary role in NREM and REM recovery induction.
Impacts of computerized maintenance management system and relevant supportive organizational factors on total productive maintenance

Purpose The application of automated systems is rapidly increasing in different industries and organizations. In this regard, computerized maintenance management systems (CMMS) using information technology play an important role in the automating production systems. The purpose of this paper is to investigate the impacts of CMMSs and relevant supportive organizational factors on the effectiveness of total productive maintenance. Design/methodology/approach This study is classified as a quantitative survey-based research using structural equation modeling. The scope of the study includes manufacturing companies in Iran. A total of 125 questionnaires from 60 companies were collected from January to March 2014 to help validate the conceptual model and test the hypotheses. Findings The results support the concept CMMSs positively relates to relevant supportive organizational factors (resource allocation, decision-making structure, senior management support, employees’ involvement and effective instruction) on the effectiveness of total productive maintenance. The relevant supportive organizational factors can also be seen as the predictors of CMMSs. Originality/value This study integrates the CMMSs and relevant supportive organizational factors in a robust model to examine the effectiveness of total productive maintenance. This study also examines the impacts of CMMSs and relevant supportive organizational factors on total productive maintenance which seems to not be done previously.
Urban Image Formation through Evaluation of Public Design Guideline of Bus stop in Jeju

The public space is very important in connecting the space and the bus stop is an important public place to maintain mutual exchanges. In order to improve the image of the city through the safe and convenient public transportation system, Jeju recently reorganized the public transportation system. As public transportation has improved, the use of public transportation has been revitalized, but the improvement in bus stops has been relatively low. In this study, investigating the bus stop in Jeju Island and divide the 'Public Design Guidelines' into two key words of three elements and examine the improvement direction. The results of the guideline evaluation showed that the safety and convenience functionalities were rated the highest, and the symbolic characteristics of the city 's characteristics and place characteristics were low. expecting that the bus stop in Jeju area will be the basic data that will help shape and improve the image of the city that will enhance the value as an international tourism city.
Upper limb bilateral symmetric training with robotic assistance and clinical outcomes for stroke: A pilot study

Purpose – The purpose of this paper is to evaluate the physiotherapeutic benefits of bilateral symmetric training (BST) for stroke survivors affected by hemiparesis. Design/methodology/approach – Other studies have investigated symmetric physiotherapy. A key difficulty in previous work is in maintaining mirror-imaged trajectories between the affected and less-affected limbs. This obstacle was overcome in this work by using a two-armed robotic exoskeleton to enforce symmetry. In total, 15 subjects, > 6 months post stroke were, randomly assigned to bilateral symmetric robotic training, unilateral robotic training, and standard physical therapy. Findings – After 12 training sessions (90 minutes/session), the bilateral training group had the greatest intensity of movement training. They also had the greatest improvement in range of motion at the shoulder. The unilateral training group showed the greatest reduction in spasticity. Research limitations/implications – The rationale for symmetric physiotherapy is .
Bioenergy Farm II project: Economics of biogas production in micro-installations in selected EU countries

Bioenergy Farm II project: Economics of biogas production in micro-installations in selected EU countries / Alessandro Sopegno, Patrizia Busato, Renè Cornelissen, Remigio Berruto. (2018), pp. 1-2. ((Intervento presentato al convegno Biogas Science 2018 International Conference on Anaerobic Digestion tenutosi a Torino, Italy nel September 17-19, 2018. Original Citation: Bioenergy Farm II project: Economics of biogas production in micro-installations in selected EU countries
How Can a Tour Guide Robot's Orientation Influence Visitors’ Orientation and Formations?

In this paper, we describe a field study with a tour guide robot that guided visitors through a historical site. Our focus was to determine how a robot’s orientation behaviour influenced visitors’ orientation and the formations groups of visitors formed around the robot. During the study a remotecontrolled robot gave short guided tours and explained some points of interest in the hall of Festivities in the Royal Alcazar in Seville (Spain). To get insight into visitors’ reactions to the robot’s non-verbal orientation behaviour, two orientations of the robot were tested; either the robot was oriented with its front towards the visitors, or the robot was oriented with its front towards the point of interest. From the study we learned that people reacted strongly to the orientation of the robot. We found that visitors tended to follow the robot tour guide from a greater distance (more than 3 meters away from the robot) more frequently when the robot was oriented towards the visitors than when it was oriented towards the point of interest. Further, when the robot was oriented towards the point of interest, people knew where to look and walked towards the robot more often. On the other hand, people also lost interest in the robot more often when it was oriented towards the point of interest. The analysis of visitors’ orientation and formations led to design guidelines for effective robot guide behaviour.
Applying a New Integrated Classification Method to Monitor Shifting Mangrove Wetlands

Remotely sensed technique is a potential method for mangrove management. Free multi-temporal Landsat imagery data provided a feasible approach to monitor shifting mangrove wetlands in China. In order to know the historic and present situation of the west shore of Donghai Island mangrove, a new integrated classification method with Support Vector Machines (SVM) and Decision Tree (DT) was applied, which is more effective than SVM algorithm. The integrated method combined the information of spectrum, spectral transformation and geographical position for land cover extraction. Post-classification change detection was used for analyzing the mangrove loss conditions and its possible reasons in the past three decades. The results informed that the mangroves in the study area has been most affected since the early 1970s, nearly 62% of the mangrove area has lost. The annual loss rate exceeded 3.18%, higher than world total loss rate as 2.07%.
An Improved Heuristic Crossover Operator for TSP

TSP (traveling salesman problem) is one of the typical NP-hard problem in combination optimization. For salving the problem, genetic algorithm is better than traditional ones obviously, and there are also many crossover operators used to get hypo-optimization route. Base on heuristic crossover by Lixin Tang, a new crossover operator is conducted. The crossover preservers the segment of effective genes, then mobile window operator and neighborhood identification operator are used to fasten the algorithm convergence. The example shows that the new crossover operator is useful.
Document clustering using GIS visualizing and EM clustering method

This paper uses expectation-maximization clustering algorithm and a simple multidimensional projection method for visualization and data reduction. The multidimensional data is projected into a 2D Cartesian coordinate system. We run EM and K-Means algorithms on the transformed data. The system uses Microsoft Spatial Data Base Engine as a GIS tool for visualization. We used Expectation-Maximization (EM) and K-Means clustering algorithms of the Microsoft Analysis Services. The simple multidimensional projection method used in this paper tries to preserve the similarity relationships in original datasets.