Miracle-dz/UniFAR-FTUs huggingface dataset:
State dependency of inhibitory control performance: an electrical neuroimaging study

Behavioral and brain responses to stimuli not only depend on their physical features but also on the individuals' neurocognitive states before stimuli onsets. While the influence of pre‐stimulus fluctuations in brain activity on low‐level perceptive processes is well established, the state dependency of high‐order executive processes remains unclear. Using a classical inhibitory control Go/NoGo task, we examined whether and how fluctuations in the brain activity during the period preceding the stimuli triggering inhibition influenced inhibitory control performance. Seventeen participants completed the Go/NoGo task while 64‐channel electroencephalogram was recorded. We compared the event‐related potentials preceding the onset of the NoGo stimuli associated with inhibition failures false alarms (FA) vs. successful inhibition correct rejections (CR) with data‐driven statistical analyses of global measures of the topography and strength of the scalp electric field. Distributed electrical source estimations were used to localize the origin of the event‐related potentials modulations. We observed differences in the global field power of the event‐related potentials (FA > CR) without concomitant topographic modulations over the 40 ms period immediately preceding NoGo stimuli. This result indicates that the same brain networks were engaged in the two conditions, but more strongly before FA than CR. Source estimations revealed that this effect followed from a higher activity before FA than CR within bilateral inferior frontal gyri and the right inferior parietal lobule. These findings suggest that uncontrolled quantitative variations in pre‐stimulus activity within attentional and control brain networks influence inhibition performance. The present data thereby demonstrate the state dependency of cognitive processes of up to high‐order executive levels.
Purine nucleotide metabolism regulates expression of the human immune ligand MICA

Expression of the cell-surface glycoprotein MHC class I polypeptide-related sequence A (MICA) is induced in dangerous, abnormal, or “stressed” cells, including cancer cells, virus-infected cells, and rapidly proliferating cells. MICA is recognized by the activating immune cell receptor natural killer group 2D (NKG2D), providing a mechanism by which immune cells can identify and potentially eliminate pathological cells. Immune recognition through NKG2D is implicated in cancer, atherosclerosis, transplant rejection, and inflammatory diseases, such as rheumatoid arthritis. Despite the wide range of potential therapeutic applications of MICA manipulation, the factors that control MICA expression are unclear. Here we use metabolic interventions and metabolomic analyses to show that the transition from quiescent cellular metabolism to a “Warburg” or biosynthetic metabolic state induces MICA expression. Specifically, we show that glucose transport into the cell and active glycolytic metabolism are necessary to up-regulate MICA expression. Active purine synthesis is necessary to support this effect of glucose, and increases in purine nucleotide levels are sufficient to induce MICA expression. Metabolic induction of MICA expression directly influences NKG2D-dependent cytotoxicity by immune cells. These findings support a model of MICA regulation whereby the purine metabolic activity of individual cells is reflected by cell-surface MICA expression and is the subject of surveillance by NKG2D receptor-expressing immune cells.
The Relative Impacts of Disease on Health Status and Capability Wellbeing: A Multi-Country Study

Background Evaluations of the impact of interventions for resource allocation purposes commonly focus on health status. There is, however, also concern about broader impacts on wellbeing and, increasingly, on a person's capability. This study aims to compare the impact on health status and capability of seven major health conditions, and highlight differences in treatment priorities when outcomes are measured by capability as opposed to health status. Methods The study was a cross-sectional four country survey (n = 6650) of eight population groups: seven disease groups with: arthritis, asthma, cancer, depression, diabetes, hearing loss, and heart disease and one health population ‘comparator’ group. Two simple self-complete questionnaires were used to measure health status (EQ-5D-5L) and capability (ICECAP-A). Individuals were classified by illness severity using condition-specific questionnaires. Effect sizes were used to estimate: (i) the difference in health status and capability for those with conditions, relative to a healthy population; and (ii) the impact of the severity of the condition on health status and capability within each disease group. Findings 5248 individuals were included in the analysis. Individuals with depression have the greatest mean reduction in both health (effect size, 1.26) and capability (1.22) compared to the healthy population. The effect sizes for capability for depression are much greater than for all other conditions, which is not the case for health. For example, the arthritis group effect size for health (1.24) is also high and similar to that of depression, whereas for the same arthritis group, the effect size for capability is much lower than that for depression (0.55). In terms of severity within disease groups, individuals categorised as 'mild' have similar capability levels to the healthy population (effect sizes <0.2, excluding depression) but lower health status than the healthy population (≥0.4). Conclusion Significant differences exist in the relative effect sizes across diseases when measured by health status and capability. In terms of treating morbidity, a shift in focus from health gain to capability gain would increase funding priorities for patients with depression specifically and severe illnesses more generally.
Needleless Electrospinning System, an Efficient Platform to Fabricate Carbon Nanofibers

In the present study, the effects of different parameters of needleless electrospinning systems on polyacrylonitrile (PAN) nanofibers morphology and diameter were studied. The electric field profile at the surface of the spinneret and electrospinning zone was evaluated by Finite Element Method. The PAN nanofibers were used as the precursor to fabricate carbon nanofibers. Scanning electron microscope (SEM), X-ray diffraction and Raman spectroscopy were used for electrospun nanofibers analysis. The results of electric field analysis indicated, in the spinning direction, the electric field was concentrated at the surface of the spinneret and decayed rapidly toward the surface of the collector. Increasing polymer solution concentration from 7.00 to 11.00 wt. % resulted increasing nanofibers diameter form 77.76 ± 19.44 to 202.42 ± 36.85. The results of X-ray diffraction and Raman spectroscopy show that heat treatments could convert needleless electrospun PAN nanofibers to carbon nanofibers.
The Power of One Move: Hashing Schemes for Hardware

In a standard multiple-choice hashing scheme, each item is stored in one of hash table buckets. The availability of choice in where items are stored improves space utilization. These schemes are often very amenable to a hardware implementation, such as in a router. Recently, researchers have discovered powerful variants where items already in the hash table may be moved during the insertion of a new item. Unfortunately, these schemes occasionally require a large number of items to be moved to perform an insertion, making them inappropriate for a hardware implementation. We show that it is possible to significantly increase the space utilization of multiple-choice hashing schemes by allowing at most one item to be moved during an insertion. Furthermore, our schemes can be effectively analyzed, optimized, and compared using numerical methods based on fluid limit arguments, without resorting to much slower simulations.
The Relation Between Aggression and the Living Group Climate in a Forensic Treatment Unit for Adolescents: A Pilot Study

In the current study, the associations between inpatient aggression and the living group climate as perceived by the adolescents admitted to a forensic psychiatric treatment unit, are investigated based on carefully registered longitudinal data. Multilevel regression analyses revealed a significant inverse relation between the number and severity of aggressive incidents and the amount of support, as well as with the possibilities of growth perceived by the adolescents. No significant associations of aggression and the perception of repression or atmosphere are found. Our study reveals preliminary evidence for the relation between the prevalence of aggressive incidents and how the adolescents perceive social contextual factors in daily forensic treatment practices. Moreover, preliminary evidence that evidence-based treatment programs and psychiatric care have an important influence on experienced possibilities for growth and support and as such prevent institutional aggression, is found.
Efficient Parallel Processing of Distance Join Queries Over Distributed Graphs

Distance join queries have recently been recognized as a particularly useful operation over graph data, since they capture graph similarity in a meaningful way. Consequently, they have been studied extensively in recent years [1], [2]. However, current methods are designed for centralized systems, and rely on the graph embedding for effective pruning and indexing. As graph sizes become very large and graph data must be deployed in the distributed environment, these techniques become impractical. In this work, we propose a solution for efficient parallel processing of distance join queries over distributed large graphs. There have been emerging efforts devoted to managing large graphs in distributed and parallel systems. Programming models like Pregel [3] and iterative computing framework like HaLoop [4] have been proposed to handle queries over distributed graphs. However, they are designed in the perspective of functionality instead of the query efficiency. In this work, we define an optimization problem: combining the iterative join and the graph exploration method to minimize the evaluation time of distance join queries. Without sacrificing a system's scalability, our technique exploits a light-weight vertex centric encoding schema built on a distance-aware partition of the entire graph. Extensive experiments over both real and synthetic large graphs show that, by employing an adaptive query plan generation and scheduling method, we can effectively reduce the redundant message passing and I/O costs. Compared to simply using iterative join or graph exploration method, our solution achieves as many as one order of magnitude of time saving for the query evaluation.
Expression of CD 45 RC and Ia Antigen in the Spinal Cord in Acute Experimental Allergic Encephalomyelitis : An Immunocytochemical and Flow Cytometric Study

We performed immunocytochemical studies to analyze the inflammatory infiltrate and major histocompatibility complex class II (Ia) antigen expression in the spinal cord of Lewis rats with acute experimental allergic encephalomyelitis (EAE) induced by inoculation with myelin basic protein and adjuvants. Using antibodies to lymphocyte markers and other monoclonal antibodies we found that during clinical episodes the inflammatory infiltrate was chiefly composed of T lymphocytes and macrophages. The majority of cells in the inflammatory infiltrate were stained by the W3/25 antibody to CD4 and a proportion was stained by OX22 which labels the high molecular weight form of the leucocyte common antigen (CD45RC). CDB+ T cells were sparse and B cells were not detected. There was minimal staining with the OX39 antibody to the interleukin-2 receptor. Presumptive microglia, identified by their dendritic morphology, expressed Ia antigen during the clinical episodes and after recovery. The prominence of Ia antigen expression after recovery could indicate that this la expression was associated with downregulation of the encephalitogenic immune response. We also performed flow cytometry studies on cells extracted from the spinal cord of rats before and during attacks of EAE. With flow cytometry, we found that in established disease a mean of 83(SD, 23)% of CD2+ cells were CD4+, and a mean of 27(SD, 12)% of CD2+ cells were CD45RC+. In rats sampled on the first day of signs, a mean of 43(SD, 22)% of CD2+ cells were CD45RC+. In the cells extracted from the spinal cord of rats with established disease a mean of 47(SD, 32)% of macrophages were CD45RC+. Our study has combined an immunocytochemical assessment of tissue sections with quantitative flow cytometry assessment of cells extracted from the spinal cord of rats with acute EAE. We have shown that the majority of T lymphocytes in the spinal cord are CD45RC. We have also found prominent Ia expression on dendritic cells in acute EAE and after clinical recovery.
Longitudinal quantification of the gingival crevicular fluid proteome during progression from gingivitis to periodontitis in a canine model

Abstract Aim Inflammatory periodontal disease is widespread in dogs. This study evaluated site‐specific changes in the canine gingival crevicular fluid (GCF) proteome during longitudinal progression from very mild gingivitis to mild periodontitis. Periodontitis diagnosis in dogs requires general anaesthesia with associated risks and costs; our ultimate aim was to develop a periodontitis diagnostic for application in conscious dogs. The objective of this work was to identify potential biomarkers of periodontal disease progression in dogs. Material and Methods Gingival crevicular fluid was sampled from a total of 10 teeth in eight dogs at three different stages of health/disease and samples prepared for quantitative mass spectrometry (data available via ProteomeXchange; identifier PXD003337). A univariate mixed model analysis determined significantly altered proteins between health states and six were evaluated by ELISA. Results Four hundred and six proteins were identified with 84 present in all samples. The prevalence of 40 proteins was found to be significantly changed in periodontitis relative to gingivitis. ELISA measurements confirmed that haptoglobin was significantly increased. Conclusions This study demonstrates for the first time that proteins detected by mass spectrometry have potential to identify novel biomarkers for canine periodontal disease. Further work is required to validate additional biomarkers for a periodontitis diagnostic.
Blood Glucose Control in Noncritically Ill Patients Is Associated With a Decreased Length of Stay, Readmission Rate, and Hospital Mortality

Purpose:Multiple studies have shown that hyperglycemia correlates with mortality and morbidity in critically ill patients. This has not been demonstrated in noncritically hospitalized patients. The primary objective of this study was to determine whether glycemic control shortens the length of stay (LOS). Secondary objectives included assessing readmissions, in-hospital mortality, and rates of hypoglycemia. Methods:A retrospective review of hospitalized patients admitted between 2008 and 2012 with fingerstick blood sugar (FSBS) was performed. Patients were divided into two groups: “controlled” FSBS (≥80% of FSBS were <180 mg/dL) and “uncontrolled” FSBS (<80% of FSBS were <180 mg/dL). The average LOS (ALOS) in days, in-hospital mortality, readmission rates, and rates of hypoglycemia was compared. Results:A total of 32,851 patient records were reviewed. ALOS for patients with controlled and uncontrolled FSBS was 5.86 and 6.17 days, respectively (p < .0001). Readmission within 30 days and hospital mortality were significantly lower in patients with controlled FSBS (p = .0000, .00001), whereas rates of hypoglycemia were significantly higher in the uncontrolled group (p = .00000). Conclusions:Glycemic control was associated with decreased LOS, hospital mortality, and 30-day readmission rate in noncritically ill patients regardless of the presence or absence of diabetes.
Evaluation of mitochondrial redox status and energy metabolism of X-irradiated HeLa cells by LC/UV, LC/MS/MS and ESR

Abstract To evaluate the metabolic responses in tumour cells exposed to ionizing radiation, oxygen consumption rate (OCR), cellular lipid peroxidation, cellular energy status (intracellular nucleotide pool and ATP production), and mitochondrial reactive oxygen species (ROS), semiquinone (SQ), and iron–sulphur (Fe−S) cluster levels were evaluated in human cervical carcinoma HeLa cells at 12 and 24 h after X-irradiation. LC/MS/MS analysis showed that levels of 8-iso PGF2α and 5-iPF2α-VI, lipid peroxidation products of membrane arachidonic acids, were not altered significantly in X-irradiated cells, although mitochondrial ROS levels and OCR significantly increased in the cells at 24 h after irradiation. LC/UV analysis revealed that intracellular AMP, ADP, and ATP levels increased significantly after X-irradiation, but adenylate energy charge (adenylate energy charge (AEC) = [ATP + 0.5 × ADP]/[ATP + ADP + AMP]) remained unchanged after X-irradiation. In low-temperature electron spin resonance (ESR) spectra of HeLa cells, the presence of mitochondrial SQ at g = 2.004 and Fe–S cluster at g = 1.941 was observed and X-irradiation enhanced the signal intensity of SQ but not of the Fe–S cluster. Furthermore, this radiation-induced increase in SQ signal intensity disappeared on treatment with rotenone, which inhibits electron transfer from Fe–S cluster to SQ in complex I. From these results, it was suggested that an increase in OCR and imbalance in SQ and Fe–S cluster levels, which play a critical role in the mitochondrial electron transport chain (ETC), occur after X-irradiation, resulting in an increase in ATP production and ROS leakage from the activated mitochondrial ETC.
Separation of Macrophages and Fibroblasts Using Contactless Dielectrophoresis and a Novel ImageJ Macro.

Background: This study presents a label-free method of separating macrophages and fibroblasts, cell types critically associated with tumors. Materials and Methods: Contactless dielectrophoresis (DEP) devices were used to separate fibroblasts from macrophages by selectively trapping one population. An ImageJ macro was developed to determine the percentage of each population moving or stationary at a given point in time in a video. Results: At 350Vrms, 20 kHz, and 1.25 μL/min, more than 90% of fibroblasts were trapped while less than 20% of macrophages were trapped. Conclusions: Contactless DEP was used to study macrophage and fibroblast separation as a proof-of-concept study for separating cells in the tumor microenvironment. The associated ImageJ macro could be used in other microfluidic cell separation studies.
QoE based cache control in wireless multicast

In this paper, we investigate the problem of optimal content cache strategy with content of multi-available streaming rates over wireless network of different user channel condition. Our design objective is to maximize the quality of experience (QoE) at the user end under a limited cache server storage when considering the different channel condition among users. More specifically, the proposed strategy chooses the optimal subset of streaming rates based on channel condition and storage budget so that the expected QoE value at the user end is maximized. As a result, the propose strategy promote the utilization efficiency of insufficiency network resources and cache budget. Furthermore, through the analysis of the simulation results, there is a tradeoff between the cache size and the QoE value, depending on the number of users and their channel condition. The proposed cache strategy is based on the MMT standard.
Structural Basis for the Inhibition of Host Gene Expression by Porcine Epidemic Diarrhea Virus nsp1

ABSTRACT Porcine epidemic diarrhea virus (PEDV), an enteropathogenic Alphacoronavirus, has caused enormous economic losses in the pork industry. Nonstructural protein 1 (nsp1) is a characteristic feature of alpha- and betacoronaviruses, which exhibits both functional conservation and mechanistic diversity in inhibiting host gene expression and antiviral responses. However, the detailed structure and molecular mechanisms underlying the Alphacoronavirus nsp1 inhibition of host gene expression remain unclear. Here, we report the first full-length crystal structure of Alphacoronavirus nsp1 from PEDV. The structure displays a six-stranded β-barrel fold in the middle of two α-helices. The core structure of PEDV nsp1 shows high similarity to those of severe acute respiratory syndrome coronavirus (SARS-CoV) nsp1 and transmissible gastroenteritis virus (TGEV) nsp1, despite its low degree of sequence homology. Using ribopuromycylation and Renilla luciferase reporter assays, we showed that PEDV nsp1 can dramatically inhibit general host gene expression. Furthermore, three motifs (amino acids [aa] 67 to 71, 78 to 85, and 103 to 110) of PEDV nsp1 create a stable functional region for inhibiting protein synthesis, differing considerably from Betacoronavirus nsp1. These results elucidate the detailed structural basis through which PEDV nsp1 inhibits host gene expression, providing insight into the development of a new attenuated vaccine with nsp1 modifications. IMPORTANCE Porcine epidemic diarrhea virus (PEDV) has led to tremendous economic losses in the global swine industry. PEDV nsp1 plays a crucial role in inhibiting host gene expression, but its functional mechanism remains unclear. Here, we report the full-length structure of PEDV nsp1, the first among coronaviruses to be reported. The 1.25-Å resolution crystal structure of PEDV nsp1 shows high similarity to severe acute respiratory syndrome coronavirus (SARS-CoV) nsp113–128 and transmissible gastroenteritis virus (TGEV) nsp11–104, despite a lack of sequence homology. Structural and biochemical characterization demonstrated that PEDV nsp1 possesses a stable functional region for inhibition of host protein synthesis, which is formed by loops at residues 67 to 71, 78 to 85, and 103 to 110. The different functional regions in PEDV nsp1 and SARS-CoV nsp1 may explain their distinct mechanisms. Importantly, our structural data are conducive to understanding the mechanism of PEDV nsp1 inhibition of the expression of host genes and may aid in the development of a new attenuated vaccine.