Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Road Network Correlation for Traffic Estimation via Compressive Sensing

This paper presents a transport traffic estimation method which leverages road network correlation and sparse traffic sampling via the compressive sensing technique. Through the investigation on a traffic data set of more than 4400 taxis from Shanghai city, China, we observe nontrivial traffic correlations among the traffic conditions of different road segments and derive a mathematical model to capture such relations. After mathematical manipulation, the models can be used to construct representation bases to sparsely represent the traffic conditions of all road segments in a road network. With the trait of sparse representation, we propose a traffic estimation approach that applies the compressive sensing technique to achieve a city-scale traffic estimation with only a small number of probe vehicles, largely reducing the system operating cost. To validate the traffic correlation model and estimation method, we do extensive trace-driven experiments with real-world traffic data. The results show that the model effectively reveals the hidden structure of traffic correlations. The proposed estimation method derives accurate traffic conditions with the average accuracy as 0.80, calculated as the ratio between the number of correct traffic state category estimations and the number of all estimation times, based on only 50 probe vehicles' intervention, which significantly outperforms the state-of-the-art methods in both cost and traffic estimation accuracy.
Identification of ZO-1: a high molecular weight polypeptide associated with the tight junction (zonula occludens) in a variety of epithelia

A tight junction-enriched membrane fraction has been used as immunogen to generate a monoclonal antiserum specific for this intercellular junction. Hybridomas were screened for their ability to both react on an immunoblot and localize to the junctional complex region on frozen sections of unfixed mouse liver. A stable hybridoma line has been isolated that secretes an antibody (R26.4C) that localizes in thin section images of isolated mouse liver plasma membranes to the points of membrane contact at the tight junction. This antibody recognizes a polypeptide of approximately 225,000 D, detectable in whole liver homogenates as well as in the tight junction-enriched membrane fraction. R26.4C localizes to the junctional complex region of a number of other epithelia, including colon, kidney, and testis, and to arterial endothelium, as assayed by immunofluorescent staining of cryostat sections of whole tissue. This antibody also stains the junctional complex region in confluent monolayers of the Madin-Darby canine kidney epithelial cell line. Immunoblot analysis of Madin-Darby canine kidney cells demonstrates the presence of a polypeptide similar in molecular weight to that detected in liver, suggesting that this protein is potentially a ubiquitous component of all mammalian tight junctions. The 225-kD tight junction-associated polypeptide is termed "ZO-1. "
Different effects of HLA disparity on transplant outcomes after single-unit cord blood transplantation between pediatric and adult patients with leukemia

Recent advances in unrelated cord blood transplantation have increased chances and options available in allogeneic stem cell transplantation. The effect of HLA disparity on outcomes after cord blood transplantation was studied recently in mainly pediatric populations. Results showed that HLA matching in combination with total nucleated cell dose positively affects survival. The effect of HLA disparity after single-unit cord blood transplantation may be different in adults because their total nucleated cell dose is much lower compared to pediatric patients. We investigated the effect of HLA disparity on the outcome of single-unit unrelated cord blood transplantation separately in 498 children aged 15 years or under (HLA-A, HLA-B low-resolution, and HLA-DRB1 high-resolution matched [6/6], n=82, and one locus- [5/6], n=222, two loci- [4/6], n=158, three loci- [3/6] mismatched, n=36) and 1,880 adults (6/6, n=71; 5/6, n=309; 4/6, n=1,025; 3/6, n=475) with leukemia. With adjusted analyses, in children, 4/6 showed significantly increased risks of overall mortality (relative risk [RR]=1.61, P=0.042) and transplant-related mortality (RR=3.55, P=0.005) compared to 6/6. The risk of grade 2 to 4 acute GVHD was increased in 5/6 (RR=2.13, P=0.004) and 4/6 (RR=2.65, P<0.001). In adults, the risk of mortality did not increase with the number of mismatched loci (RR=0.99, P=0.944 for 5/6; RR=0.88, P=0.436 for 4/6). The risk of relapse was significantly decreased in 4/6 (RR=0.67, P=0.034). The risk of transplant-related mortality (TRM) or acute GVHD was not increased in 5/6 or 4/6. The effect of HLA disparity on transplant outcome differed between children and adults. In children, an increased number of mismatched HLA loci correlated with an increased risk of mortality. In adults, there was no increase in mortality with an increase in the number of mismatched HLA loci.
Depression in multiple sclerosis: a review

Several studies have reported high rates of depression in multiple sclerosis (MS) with a lifetime prevalence of ∼50% and an annual prevalence of 20% not uncommon. Concern about the potential of new drug treatments to exacerbate or precipitate depression in MS has led to increased interest in the relation between MS and depression. This review on MS and depression identifies the following key issues: How common is depression in people with MS? Is depression in MS associated with lesions in specific regions of the central nervous system? Is there an increased risk of suicide in MS? Is there a higher than expected incidence of anxiety disorders in MS? Are fatigue and depressed mood related in MS? Is there a relation between depression and cognitive impairment in MS? Which psychosocial variables affect the development of depression in MS? Does treatment with interferon increase the risk of depression? How effective are treatments for MS patients with depression? Each of these issues is briefly reviewed with critical commentary, and some priorities for future research are suggested.
Feature expressions: creating and manipulating sequence datasets.

Annotation of features, such as introns, exons and protein coding regions in GenBank/EMBL/DDBJ entries is now standardized through use of the Features Table (FT) language. The essence of the FT language is described by the relation 'expression-->sequence', meaning that each FT expression evaluates to a sequence. For example, the expression M74750:1.50 evaluates to the first 50 bases of the sequence with accession number M74750. Because FT is intrinsic to the database definition, it can serve as a software- and platform-independent lingua franca for sequence manipulation. The XYLEM package makes it possible to create and manipulate sequence datasets using FT expressions. FEATURES is a program that resolves FT expressions into their corresponding sequences. Annotated features can be retrieved either by feature key or by expression. Even unannotated portions of a sequence can be retrieved by user-generated FT expressions. Applications of the FT language include retrieval of subsequences from large sequence entries, generation of chromosome models or artificial DNA constructs, and representation of restriction maps or mutants.
T HE CONDITIONAL FOOTPRINT OF LARGE AND VERY-LARGE SCALE MOTION IN TURBULENT CHANNEL FLOWS

This paper will detail experiments conducted using an array of multiple wall skin friction sensors employed simultaneously with a wall normal traversing hot-wire to capture the ‘footprint’ of large scale motions in a turbulent channel flow. It is shown that these very large scale structures extend all the way to the wall and are influenced by (or influence) the behaviour of the wall shear stress. Experiments are carried out at a Reynolds number of Reτ = 1000.
Tumor-reactive CD4+ T cells develop cytotoxic activity and eradicate large established melanoma after transfer into lymphopenic hosts

Adoptive transfer of large numbers of tumor-reactive CD8+ cytotoxic T lymphocytes (CTLs) expanded and differentiated in vitro has shown promising clinical activity against cancer. However, such protocols are complicated by extensive ex vivo manipulations of tumor-reactive cells and have largely focused on CD8+ CTLs, with much less emphasis on the role and contribution of CD4+ T cells. Using a mouse model of advanced melanoma, we found that transfer of small numbers of naive tumor-reactive CD4+ T cells into lymphopenic recipients induces substantial T cell expansion, differentiation, and regression of large established tumors without the need for in vitro manipulation. Surprisingly, CD4+ T cells developed cytotoxic activity, and tumor rejection was dependent on class II–restricted recognition of tumors by tumor-reactive CD4+ T cells. Furthermore, blockade of the coinhibitory receptor CTL-associated antigen 4 (CTLA-4) on the transferred CD4+ T cells resulted in greater expansion of effector T cells, diminished accumulation of tumor-reactive regulatory T cells, and superior antitumor activity capable of inducing regression of spontaneous mouse melanoma. These findings suggest a novel potential therapeutic role for cytotoxic CD4+ T cells and CTLA-4 blockade in cancer immunotherapy, and demonstrate the potential advantages of differentiating tumor-reactive CD4+ cells in vivo over current protocols favoring in vitro expansion and differentiation.
A Survey of Middleware for Sensor and Network Virtualization

Wireless Sensor Network (WSN) is leading to a new paradigm of Internet of Everything (IoE). WSNs have a wide range of applications but are usually deployed in a particular application. However, the future of WSNs lies in the aggregation and allocation of resources, serving diverse applications. WSN virtualization by the middleware is an emerging concept that enables aggregation of multiple independent heterogeneous devices, networks, radios and software platforms; and enhancing application development. WSN virtualization, middleware can further be categorized into sensor virtualization and network virtualization. Middleware for WSN virtualization poses several challenges like efficient decoupling of networks, devices and software. In this paper efforts have been put forward to bring an overview of the previous and current middleware designs for WSN virtualization, the design goals, software architectures, abstracted services, testbeds and programming techniques. Furthermore, the paper also presents the proposed model, challenges and future opportunities for further research in the middleware designs for WSN virtualization.
Supporting bi-cluster interpretation in 0/1 data by means of local patterns

Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. As a result, interpreting clustering results and discovering knowledge from them can be quite hard. We consider potentially large Boolean data sets which record properties of objects and we assume the availability of a bi-partition which has to be characterized by means of a symbolic description. Our generic approach exploits collections of local patterns which satisfy some user-defined constraints in the data, and a measure of the accuracy of a given local pattern as a bi-cluster characterization pattern. We consider local patterns which are bi-sets, i.e., sets of objects associated to sets of properties. Two concrete examples are formal concepts (i.e., associated closed sets) and the so-called δ-bi-sets (i.e., an extension of formal concepts towards fault-tolerance). We introduce the idea of characterizing query which can be used by experts to support knowledge discovery from bi-partitions thanks to available local patterns. The added-value is illustrated on benchmark data and three real data sets: a medical data set and two gene expression data sets.
Emotion in Music Task at MediaEval 2015

Emotional expression is an important property of music. Its emotional characteristics are thus especially natural for music indexing and recommendation. The Emotion in Music task addresses the task of automatic music emotion prediction and is held for the second year in 2014. As compared to previous year, we modified the task by offering a new feature development subtask, and releasing a new evaluation set. We employed a crowdsourcing approach to collect the data, using Amazon Mechanical Turk. The dataset consists of music licensed under Creative Commons from the Free Music Archive, which can be shared freely without restrictions. In this paper we describe the dataset collection, annotations, and evaluation criteria, as well as the two required and optional runs.
The role of lifestyle in health: the epidemiology and consequences of inactivity

‘Sedentary activity’ constitutes an oxymoron. ‘Inactivity’ is a more appropriate term to describe the time spent in sedentary behaviours. Inactivity can be defined as a state in which bodily movement is minimal. In terms of energy expenditure, inactivity represents a state or behaviour for which energy expenditure approximates resting metabolic rate. However, the study of inactivity as a behaviour rather than an account of the energy spent in sedentary pursuits may offer a richer assessment of factors that contribute to obesity or other diseases. Inactive behaviours include television viewing, reading, working at a computer, talking with friends or on the telephone, driving a car or commuting, meditation or eating (Ainsworth et al. 1993). for
Insulin Deficiency vs Insulin Resistance in NIDDM: Concluding Remarks by a 'Biased' Observer

It is still a matter of controversy whether non-insulin dependent diabetes mellitus (NIDDM) patients are hyperinsulinaemic or hypoinsulinaemic, and whether insulin deficiency or insulin resistance is the primary pathogenic factor of the disease;1-4 the present symposium is a recent illustration of this controversy. Since research over some four decades has not led us to understand fully the cell biological and molecular events that generate NIDDM, we must assume that either extremely complex interactions are at play in the genesis of NIDDM, or that we are investigating glucose metabolism under a systematic error. Extreme insulin deficiency as well as extreme insulin resistance, alone can each lead to diabetes (consider the lean severe NIDDM patients who need only insulin replacement, and by contrast the severe insulin receptor disorders where no amount of insulin can induce normoglycaemia). Controversy arises when less extreme reductions in insulin secretion and in insulin action are considered. The insulin response to glucose as well as the glucose response to insulin show large variations in the normal population.57 1n obese subjects, insulin response is higher and insulin sensitivity reduced; however, variability is considerable, and therefore major Ollerlap exists with the values found in lean subjects. There are thus subjects With either markedly low insulin responses to glucose or low sensitivity to insulin in whom glucose tolerance is perfectly normal. We may envisage two mechanisms by which such subjects may progress to diabetes:
Imperial College Consortium on Pore-Scale Modelling Yearly progress report December 30 , 2005

We use a three-dimensional mixed-wet random network model representing Berea sandstone to compute displacement paths and relative permeabilities for water alternating gas (WAG) flooding. First we reproduce cycles of water and gas injection observed in previously published experimental studies. We predict the measured oil, water and gas relative permeabilities accurately. We discuss the hysteresis trends in the water and gas relative permeabilities and compare the behavior of water-wet and oil-wet media. We interpret the results in terms of pore-scale displacements. In water-wet media the water relative permeability is lower in the presence of gas due to an increase in oil/water capillary pressure that causes a decrease in wetting layer conductance. The gas relative permeability is higher for displacement cycles after first gas injection at high gas saturation due to cooperative pore filling, but lower at low saturation due to trapping. In oil-wet media, the water relative permeability remains low until water-filled elements span the system at which point the relative permeability increases rapidly. The gas relative permeability is lower in the presence of water than oil because it is no longer the most non-wetting phase.
Availability‐driven optimal design of shared path protection in WDM networks

Availability, defined as the fraction of time a network service is operative, is a key network service parameter. Dedicated protection increases availability but also the cost. Shared protection instead decreases the cost, but also the availability. In this article, we formulate and solve an integer linear programming (ILP) model for the problem of minimizing the backup resources required by a shared‐protected static optical network whilst guaranteeing an availability target per connection. The main research challenge is dealing with the nonlinear expression for the availability constraint. Taking the working/backup routes and the availability requirements as input data, the ILP model identifies the set of connections sharing backup resources in any given network link. We also propose a greedy heuristic to solve large instances in much shorter time than the ILP model with low levels of relative error (2.49% average error in the instances studied) and modify the ILP model to evaluate the impact of wavelength conversion. Results show that considering availability requirements can lead up to 56.4% higher backup resource requirements than not considering them at all, highlighting the importance of availability requirements in budget estimation. © 2016 Wiley Periodicals, Inc. NETWORKS, Vol. 68(3), 224–237 2016
“Can you do something about the price?” – Exploring the Indian deal and bargaining-prone customer

Purpose – The paper aims to study how deal- and bargaining-prone customers are different from each other. This paper brings out this difference based on psychographics encompassing values – consciousness, price mavenism and personality orientations – needed for special treatment (distinctiveness and play). Design/methodology/approach – The measurement model was assessed using both exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling. Findings – This paper finds that value consciousness is a two-dimensional construct in the Indian context. This construct comprises two dimensions of value consciousness, including concern for price and concern for quality. The authors find that deal-prone customers are value conscious and price mavens. Bargaining-prone customers are value-conscious price mavens and have a high need for special treatment (play). Play orientation distinguishes between a deal-prone and a bargaining-prone customer. Resea.
Distributed coding and algorithm optimization for large-scale networked systems

In this thesis design and optimization of several distributed algorithms in large-scale networked systems is studied. The studied algorithms operate on networks of autonomous agents in general including the sensor networks and the ad hoc networks. The main focus here is on distributed algorithms operating on large-scale networks. This is due to their robustness to node failure and ability to extend according to the size and topology of the system. Regarding the optimization of the studied algorithms, it is aimed to increase their convergence rate to their equilibrium state considering the constraints of the system including the available bandwidth, memory and power for each agent. The first topic addresses the optimization of two algorithms; namely the distributed random gossip algorithm and the distributed average consensus algorithm. The underlying graph of the network is exploited to provide an analytical solution to the semidefinite programming formulation of the problems. In the second topic, two distributed algorithms are proposed for increasing data persistency in wireless sensor networks based on LT and Raptor codes. In the proposed algorithms, the sensed data is disseminated using random walks with the non-uniform stationary distribution. A new distributed method is proposed for assigning the transition probabilities of the random walks. The third topic studies distributed coding of LT codes in Y networks where multiple sources communicate with the same destination through a common relay node. The Adaptive Distributed LT coding algorithm is proposed that combines the LT codes with the network coding technique. The fourth topic addresses optimization of the LT codes for short message lengths. Unlike previous formulations, the provided novel semidefinite programming formulation has finite number of constraints while it is free of approximation.
Transcending Potential Antecedent Leisure Constraints: The Case of Women Motorcycle Operators

The purpose of this paper was threefold: 1) to describe past methodological approaches to the study of leisure constraints and evaluate the impact of these approaches on theoretical development, 2) to provide the results of a survey of individuals who have transcended potential antecedent leisure constraints in order to evaluate the applicability of the “enrichment hypothesis”, and 3) to discuss the implications of these findings for future research on leisure constraints. The “enrichment hypothesis” suggests that those making nontraditional leisure choices would need exposure to a special social environment that would provide an awareness of and support for such a choice. The findings from this survey of 453 women who are motorcycle operators, a statistically male-dominated and stereotypically masculine leisure activity, lend support to the “enrichment hypothesis”; most women had been passengers, knew someone close to them who was a motorcyclist, and were taught to ride by a family member, thus emphasizing the importance of significant others. The impact of these findings on the theoretical constructs associated with the literature on leisure constraints is also discussed.
Postoperative mental impairment in hip fracture patients. A randomized study of reorientation measures in 223 patients.

Mental impairment is a common and serious complication in geriatric surgery. We studied 223 hip fracture patients. They were over 64 years of age (mean 81), with no history of mental deterioration and acutely admitted to hospital from independent living conditions. They were randomized into two groups. One of these was subjected to reorientation measures during the perioperative phase, i.e., presurgery admission to the orthopedic ward, accompanied home visits during the hospital stay and access to reorientation devices--they received a large clock, calendar, radio, TV-set, telephone and were encouraged to wear their own clothing. Otherwise, there were no differences in the treatment given to the two groups. We used monitoring of cognitive function with the Short Portable Mental Status Questionnaire (SPMSQ) and a feedback program for evaluation of the treatment results. There was a low incidence of postoperative cognitive deterioration in both groups, compared with historical controls. However, no difference in mental status was noted when we compared the two groups. The conclusion is that attributes were less important than the psychological environment for postoperative mental deterioration. The mean total continuous hospitalization (transfers between departments and hospitals included) in the reorientation group was 22 (95% CI: 17-43) days, the corresponding figures for the controls were 30 (14-29) days.