Miracle-dz/UniFAR-FTUs huggingface dataset:
Situational versus chronic loneliness as risk factors for all-cause mortality

ABSTRACT Background: Several international studies have substantiated the role of loneliness as a risk factor for mortality. Although both theoretical and empirical research has supported the classification of loneliness as either situational or chronic, research to date has not evaluated whether this classification has a differential impact upon mortality. Methods: To establish the definition of situational vs. chronic loneliness, we used three waves of the Health and Retirement Study (HRS), a nationally representative sample of Americans over the age of 50 years. Baseline data for the present study were collected in the years 1996, 1998, and 2000. The present study concerns the 7,638 individuals who completed all three waves; their loneliness was classified as either not lonely, situational loneliness or chronic loneliness. Mortality data were available through to the year 2004. Results: Those identified as “situationally lonely” (HR = 1.56; 95% CI: 1.52–1.62) as well as those identified as “chronically lonely” (HR = 1.83; 95% CI: 1.71–1.87) had a greater risk for all cause mortality net of the effect of possible demographic and health confounders. Nonetheless, relative to those classified as “situationally lonely,” individuals classified as “chronically lonely” had a slightly greater mortality risk. Conclusions: The current study emphasizes the important role loneliness plays in older adults’ health. The study further supports current division into situational vs. chronic loneliness, yet suggests that both types serve as substantial mortality risks.
Intelligent energy resource management considering vehicle-to-grid: A Simulated Annealing approach

Summary form only given. This paper proposes a Simulated Annealing (SA) approach to address energy resources management from the point of view of a Virtual Power Player (VPP) operating in a smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on a multi-period basis according to V2G users' profiles and requirements. Apart from using the aggregated resources, the VPP can also purchase additional energy from a set of external suppliers. The paper includes a case study for a 33 bus distribution network with 66 generators, 32 loads and 1000 gridable vehicles. The results of the SA approach are compared with a methodology based on mixed-integer non-linear programming. A variation of this method, using ac load flow, is also used and the results are compared with the SA solution using network simulation. The proposed SA approach proved to be able to obtain good solutions in low execution times, providing VPPs with suitable decision support for the management of a large number of distributed resources.
Dynamical system modeling to simulate donor T cell response to whole exome sequencing-derived recipient peptides: Understanding randomness in alloreactivity incidence following stem cell transplantation

Quantitative relationship between the magnitude of variation in minor histocompatibility antigens (mHA) and graft versus host disease (GVHD) pathophysiology in stem cell transplant (SCT) donor-recipient pairs (DRP) is not established. In order to elucidate this relationship, whole exome sequencing (WES) was performed on 27 HLA matched related (MRD), & 50 unrelated donors (URD), to identify nonsynonymous single nucleotide polymorphisms (SNPs). An average 2,463 SNPs were identified in MRD, and 4,287 in URD DRP (p<0.01); resulting peptide antigens that may be presented on HLA class I molecules in each DRP were derived in silico (NetMHCpan ver2.0) and the tissue expression of proteins these were derived from determined (GTex). MRD DRP had an average 3,670 HLA-binding-alloreactive peptides, putative mHA (pmHA) with an IC50 of <500 nM, and URD, had 5,386 (p<0.01). To simulate an alloreactive donor cytotoxic T cell response, the array of pmHA in each patient was considered as an operator matrix modifying a hypothetical cytotoxic T cell clonal vector matrix; each responding T cell clone’s proliferation was determined by the logistic equation of growth, accounting for HLA binding affinity and tissue expression of each alloreactive peptide. The resulting simulated organ-specific alloreactive T cell clonal growth revealed marked variability, with the T cell count differences spanning orders of magnitude between different DRP. Despite an estimated, uniform set of constants used in the model for all DRP, and a heterogeneously treated group of patients, higher total and organ-specific T cell counts were associated with cumulative incidence of moderate to severe GVHD in recipients. In conclusion, exome wide sequence differences and the variable alloreactive peptide binding to HLA in each DRP yields a large range of possible alloreactive donor T cell responses. Our findings also help understand the apparent randomness observed in the development of alloimmune responses.
On the Pervasiveness of Home Market Effects

Paul Krugman's model of trade predicts that the country with the relatively large number of consumers is the net exporter and hosts a disproportionate share of firms in the increasing returns sector. He terms these results ‘home market effects'. This paper analyses three additional models featuring increasing returns, firm mobility, and trade costs to assess the robustness of home market effects to alternative modelling assumptions. We find strikingly similar results for two of the models that relax assumptions about the nature of demand, competition and trade costs. However, a model that links varieties to nations rather than firms can generate opposite results.
Considering the P450 cytochrome system as determining combined effects of antidepressants and benzodiazepines on actual driving performance of depressed outpatients

Parallel groups of depressed (DSM III-R) outpatients received moclobemide (n = 22) and fluoxetine (n = 19), double blind, for 6 weeks. Respective starting doses were 150 mg twice a day and 20 mg q.a.m. These could be doubled after 3 weeks for greater efficacy. Chronic users of benzodiazepine anxiolytics continued taking them as comedication. Therapeutic and side effects were assessed using conventional rating scales. Actual driving performance was assessed during the week before therapy and at 1, 3 and 6 weeks thereafter using a standardized test that measures standard deviation of lateral position (SDLP). Similar remissions in depressive symptoms and side effects occurred in both groups. Patients drove with normal and reliable (r = 0.87) SDLPs before treatments. Most continued to do so but a few drove with progressively rising SDLPs and the overall trends were significant in both groups (p < 0.03). A post-hoc multiple regression analysis was applied for identifying factors that correlated with SDLP in separate tests after the beginning of therapy. At 3 and 6 weeks there were significant (p < 0.03) relationships involving the same factor; patients who drove with progressively higher SDLPs appeared to be those using benzodiazepines that are metabolized by a P450 isozyme subject to inhibition by their particular antidepressant.
Protein sorting among two distinct export pathways occurs from the content of maturing exocrine storage granules

We have developed a method for separating purified parotid secretory granules according to their degree of maturation, and we have used this method to examine the relationship between granule formation and stimulus-independent (constitutive) protein secretion. Constitutive export of pulse-labeled secretory proteins occurs almost entirely after their appearance in newly formed granules, and this secretion can be resolved kinetically into two distinct components. Later-phase secretion is the more prominent component and, according to kinetic and compositional criteria, appears to result from basal exocytosis of mature granules. In contrast, early-phase secretion (1.5-15% of constitutive protein output) appears to originate from maturing granules but differs significantly from granule content in composition; that is, the early component exports individual protein species in different relative amounts. Maturing granules, which are labeled most highly before and during the appearance of early-phase secretion, possess numerous coated membrane evaginations suggestive of vesicular traffic. We propose that, in addition to basal exocytosis of relatively mature granules, constitutive exocrine secretion results from limited, selective removal of content proteins from forming and maturing granules. Thus protein sorting and packaging occur together in granule compartments. Exocrine secretory granules constitute an extension of the post-Golgi sorting system and are not merely terminal depots for proximally targeted polypeptides.
Topics in relativistic cosmology: Cosmology on the past lightcone and in modified gravitation

The lightcone gauge is a set of what are called the observational coordinates adapted to our past lightcone. We develop this gauge by producing a perturbed spacetime metric that describes the geometry of our past lightcone where observations are usually obtained. We then connect the produced observational metric to the perturbed Friedmann-Lemâıtre-Robertson-Walker metric in the standard general gauge or what is the so-called 1+3 gauge. We derive the relations between these perturbations of spacetime in the observational coordinates and those perturbations in the standard metric approach, as well as the dynamical equations for the perturbations in observational coordinates. We also calculate the observables in the lightcone gauge and re-derive them in terms of Bardeen potentials to first order. A verification is made of the observables in the perturbed lightcone gauge with those in the standard gauge. The advantage of the method developed is that the observable relations are simpler than in the standard formalism. We use the perturbed lightcone gauge in galaxy surveys and galaxy number density contrast. The significance of the new gauge is that by considering the null-like light propagations, the calculations are much simpler since angular deviations are not considered. Standard cosmology based on General Relativity is generally believed to have serious shortcomings, such as the unexplained issues of dark matter and dark energy. As a remedy, many alternative theories of gravitation have been proposed over the years, one of which is f(R) gravity. We explore classes of irrotational-fluid cosmological models in the context of f(R) gravity in an attempt to put some theoretical and mathematical restrictions on the form of the f(R) gravitational Lagrangian. In particular, we investigate the consistency of the linearised dust models for shear-free cases as well as in the limiting cases when either the gravito-magnetic or gravito-electric components of the Weyl tensor vanish. We also discuss the existence and consistency of classes of non-expanding irrotational spacetimes in f(R)-gravity. Furthermore, we explore exact f(R) gravity solutions that mimic Chaplygin-gas inspired ΛCDM cosmology. Starting with the original, generalized and modified Chaplygin gas equations of state, we reconstruct the forms of f(R) Lagrangians. The resulting solutions are generally quadratic in the Ricci scalar, but have appropriate ΛCDM solutions in limiting cases. These solutions, given appropriate initial conditions, can be potential candidates for scalar field-driven early universe expansion (inflation) and dark energy-driven late-time cosmic acceleration.
A 90% peak efficiency single-inductor dual-output buck-boost converter with extended-PWM control

Power management in portable devices demands small size, low cost as well as long battery lifetime, which in turn drive the development of single-inductor multiple-output (SIMO) converters [1–5]. Due to the battery voltage variation during usage and the wide-range dynamic voltage scaling (DVS) applied for power reduction, high-efficiency buck-boost conversion is required to extend the battery lifetime. The buck-boost converter in [6] selects the operation mode by comparing the output with the supply voltage, which is not suitable for multioutput converters. The reported single-inductor dual-output (SIDO) buck-boost converter in [4] uses a state machine with sophisticated current sense for mode selection and requires a freewheeling state that dissipates energy. The converter in [3] uses one additional auxiliary inductor for step-up/down mode adjustment. This paper proposes an extended-PWM (EPWM) control which automatically selects buck or boost mode and facilitates smooth mode transition. It is suitable for flexible outputs and maintains a high efficiency in buck and in boost converters.
High-resolution, high-throughput imaging with a multibeam scanning electron microscope

Electron–electron interactions and detector bandwidth limit the maximal imaging speed of single‐beam scanning electron microscopes. We use multiple electron beams in a single column and detect secondary electrons in parallel to increase the imaging speed by close to two orders of magnitude and demonstrate imaging for a variety of samples ranging from biological brain tissue to semiconductor wafers.
Towards a better sensor data accuracy via quality of monitoring and semantic clustering

Semantic clustering organizes wireless sensor nodes in clusters to detect a relevant event for an application. These nodes send only a message reporting it to the sink node while the other nodes decrease their resource utilization to save energy. In this work, we enhance semantic clustering with quality of monitoring (QoM) attributes of the event detection probability with variance reduction or dissimilarity measure. This approach allows each node to evaluate the accuracy of detection and the correlation level of the data gathered locally and by its neighbors. Experiments in a WLAN and FIT/IoT‐Lab show QoM attributes improve the accuracy, especially in an extensive network where dissimilarity measure can keep it high independently of the cluster size. QoM also increases the sampling of these events by up to 60.7% while it decreases the number of messages sent to the sink between 13.1% and 32.9% without affecting the cluster formation or power consumption in almost all experiments.
Buffer Analysis on TCP Connection Throughput in Fast Long-Distance Networks

In fast long-distance networks (FLDN), TCP Reno was proved to have poor throughput performance and several variations were proposed to improve it by faster increasing of congestion window (cwnd). However, too fast increasing of cwnd will cause buffer overflow and the effect of TCP configurations on the queue buffer (qbuf) is a very important issue. In this paper, we study the relationships among the throughput, cwnd, and qbuf in FIDN. Some theorems are created from established mathematical models to characterize the behaviors of TCP in FIDN. We find that the qbuf not only relates to cwnd, but also to network configuration such as link bandwidth. Furthermore, we also simulate a bottlenecked topology to confirm the derived mathematic theorems. The proven theorems will bestead TCP configurations to improve TCP throughput in FIDN.
Secure Web Based Single Sign-On (SSO) Framework Using Identity Based Encryption System

Due to the vulnerability caused by poor password selection it is very important to have a secure authentication and authorization infrastructure for web based applications. In the current scenario it is very difficult to remember different passwords for different web based applications. We propose centralized password based multiuser and multi-application Single Sign-On (SSO) framework for such applications. Unlike traditional Single Sign-On architectures we are using Identity Based Encryption System (IBES) instead of Public key infrastructure (PKI). Our proposed design provides better security for the users and the system is efficient. This framework is deployed as a web service and can be deployed on a web server.
Coexistence of Virulence and Antibiotic Resistance Genes in Pasteurella multocida Isolated from Diseased Rabbits

Pasteurella multocida (P. multocida)is considered a predominant pathogenic bacterial agent causing respiratory manifestations (snuffles) in rabbits with considerable economic losses and unfavorable prognosis in Egypt. A few recent P. multocida strains exhibit resistance to the most commonly used antibiotics in the veterinary field. Therefore, the present study was carried out to investigate the prevalence of both virulence and antibiotic resistance genes among P. multocida isolated from diseased rabbits in Sharkia Governorate, Egypt. Only 10 out of 100 tested rabbits` nasal swabs were finally confirmed positive for P. multocida of serogroup A by polymerase chain reaction (PCR). Antibiotic susceptibility testing of the recovered isolates revealed that they were all multidrug resistant (MDR) with a predominance of resistance to amoxicillin, ampicillin, amoxicillin/clavulanic acid, neomycin and tetracycline (100% each), followed by kanamycin and streptomycin (90% each). All the recovered isolates were further subjected to PCR screening of some common virulence and antibiotic resistance genes of interest . With the exception of toxA gene, the other virulence associated genes (ptfA, Omp87 and nanB) were found among all the examined isolates. Totally, all MDR P. multocida isolates contained at least one antibiotic resistance gene with aphA1 being the most prevalent (100%), followed by ermX gene (40%). Antibiotic resistance genotyping demonstrated the presence of multiple antibiotic resistance genes among majority of the isolates (40%) with only one isolate harboring 4 genes encoding identical resistance phenotypes. Evidentially, all MDR P. multocida isolates possessed at least 3 virulence genes accompanied by the attendance of antibiotic resistance genes. These findings evidenced that rabbits are potential sources of pathogenic P. multocida strains harboring virulence and antibiotic resistance genes. Therefore, it is evident that there is an urgent need for the judicious use of antibiotics in rabbits` treatment systems to successfully mitigate the propagation of drug resistance across P. multocida species.
Switching Health Insurance and Its Effects on Access to Physician Services

Background:This study examines the factors associated with discontinuous health insurance coverage without periods of uninsurance during the past year (ie, switching coverage), and whether it has a detrimental effect on basic access to care. Research Design:We analyze the 2003 California Health Interview Survey samples of adults, ages 19–64 (n = 32,850) and children, ages 0–18 (n = 13,062), using weighted bivariate and multivariate analyses. We stratified the population first by age (modeling adults separately from children) and then by health status (modeling the full population and the population reporting fair or poor health separately). Results:Income, race/ethnicity, age, gender, and rural status were significant factors associated with switching coverage. Adults who switched insurance had significantly reduced odds of having a usual source of care [odds ratio (OR) = 0.63, P < 0.001)] compared with those with continuous coverage. In addition, adults and children who switched coverage were significantly more likely to report delaying care because of cost or insurance issues (adults: OR = 1.65, P < 0.001; children: OR = 2.00, P < 0.001). Children in fair or poor health who switched insurance coverage had much higher odds of reporting a delay in care (OR = 5.48, P < 0.001). Conclusions:Children and adults had disruptions in their basic access to health care when they experienced discontinuous insurance. These findings highlight the advantages of retention of enrollees as one means of promoting access to health care, in the short term, and the benefit of a continuous national health insurance program in the long term.
F-Seq: a feature density estimator for high-throughput sequence tags

Summary: Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an accurate and interpretable signal, we developed F-Seq, a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser. Availability: The software is written in the Java language and is available on all major computing platforms for download at http://www.genome. duke.edu/labs/furey/software/fseq. Contact: terry.furey@duke.edu
Concordance Between BeamF 3 and MRI-neuronavigated Target Sites for Repetitive Transcranial Magnetic Stimulation of the Left Dorsolateral Prefrontal Cortex

Background: The dorsolateral prefrontal cortex (DLPFC) is a common target for repetitive transcranial magnetic stimulation (rTMS) in major depression, but the conventional “5 cm rule”misses DLPFC in >1/3 cases. Another heuristic, BeamF3, locates the F3 EEG site from scalp measurements. MRI-guided neuronavigation is more onerous, but can target a specific DLPFC stereotaxic coordinate directly. The concordance between these two approaches has not previously been assessed. Objective: To quantify the discrepancy in scalp site between BeamF3 versus MRI-guided neuronavigation
Automatic Evaluation of Articulatory Disorders in Parkinson’s Disease

Although articulatory deficits represent an important manifestation of dysarthria in Parkinson's disease (PD), the most widely used methods currently available for the automatic evaluation of speech performance are focused on the assessment of dysphonia. The aim of the present study was to design a reliable automatic approach for the precise estimation of articulatory deficits in PD. Twenty-four individuals diagnosed with de novo PD and twenty-two age-matched healthy controls were recruited. Each participant performed diadochokinetic tasks based upon the fast repetition of /pa/-/ta/-/ka/ syllables. All phonemes were manually labeled and an algorithm for their automatic detection was designed. Subsequently, 13 features describing six different articulatory aspects of speech including vowel quality, coordination of laryngeal and supralaryngeal activity, precision of consonant articulation, tongue movement, occlusion weakening, and speech timing were analyzed. In addition, a classification experiment using a support vector machine based on articulatory features was proposed to differentiate between PD patients and healthy controls. The proposed detection algorithm reached approximately 80% accuracy for a 5 ms threshold of absolute difference between manually labeled references and automatically detected positions. When compared to controls, PD patients showed impaired articulatory performance in all investigated speech dimensions ( ). Moreover, using the six features representing different aspects of articulation, the best overall classification result attained a success rate of 88% in separating PD from controls. Imprecise consonant articulation was found to be the most powerful indicator of PD-related dysarthria. We envisage our approach as the first step towards development of acoustic methods allowing the automated assessment of articulatory features in dysarthrias.
Real-Time Human Pose Detection and Tracking for Tele-Rehabilitation in Virtual Reality

We present a real-time algorithm for human pose detection and tracking from vision-based 3D data and its application to tele-rehabilitation in virtual environments. We employ stereo camera(s) to capture 3D avatars of geographically dislocated patient and therapist in real-time, while sending the data remotely and displaying it in a virtual scene. A pose detection and tracking algorithm extracts kinematic parameters from each participant and determines pose similarity. The pose similarity score is used to quantify patient's performance and provide real-time feedback for remote rehabilitation.