Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing quality indicators for older adults: transfer from the USA to the UK is feasible

Background: Measurement of the quality of health care is essential for quality improvement, and patients are an underused source of data about quality of care. We describe the adaptation of a set of USA quality indicators for use in patient interview surveys in England, to measure the extent to which older patients receive a broad range of effective healthcare interventions in both primary and secondary care. Method: One hundred and nineteen quality indicators covering 16 clinical areas, based on a set of indicators for the care of vulnerable elderly patients in the USA, were reviewed by a panel of 10 clinical experts in England. A modified version of the RAND/UCLA appropriateness method was used and panel members were supplied with literature reviews summarising the evidence base for each quality indicator. The indicators were sent for comment before the panel meeting to UK charitable organisations for older people. Results: The panel rated 102 of the 119 indicators (86%) as valid for use in England; 17 (14%) were rejected as invalid. All 58 indicators about treatment or continuity and follow up were rated as valid compared with just over half (13 of 24) of the indicators about screening. Conclusions: These 102 indicators are suitable for use in patient interview surveys, including the English Longitudinal Study of Ageing (ELSA). The systematic measurement of quality of care at the population level and identification of gaps in quality is essential for quality improvement. There is potential for transfer of quality indicators between countries, at least for the health care of older people.
ArgR of Streptomyces coelicolor Is a Versatile Regulator

ArgR is the regulator of arginine biosynthesis genes in Streptomyces species. Transcriptomic comparison by microarrays has been made between Streptomyces coelicolor M145 and its mutant S. coelicolor ΔargR under control, unsupplemented conditions, and in the presence of arginine. Expression of 459 genes was different in transcriptomic assays, but only 27 genes were affected by arginine supplementation. Arginine and pyrimidine biosynthesis genes were derepressed by the lack of ArgR, while no strong effect on expression resulted on arginine supplementation. Several nitrogen metabolism genes expression as glnK, glnA and glnII, were downregulated in S. coelicolor ΔargR. In addition, downregulation of genes for the yellow type I polyketide CPK antibiotic and for the antibiotic regulatory genes afsS and scbR was observed. The transcriptomic data were validated by either reverse transcription-PCR, expression of the gene-promoter coupled to the luciferase gene, proteomic or by electrophoresis mobility shift assay (EMSA) using pure Strep-tagged ArgR. Two ARG-boxes in the arginine operon genes suggest that these genes are more tightly controlled. Other genes, including genes encoding regulatory proteins, possess a DNA sequence formed by a single ARG-box which responds to ArgR, as validated by EMSA.
Balance of inflammatory cytokines related to severity and mortality of murine sepsis

We tested the hypothesis that, during sepsis, the balance of pro- and anti-inflammatory cytokines is related to severity and survival. Cecal ligation and puncture (CLP) with a large (18-gauge)-, intermediate (21-gauge)-, or small (26-gauge)-diameter needle, or sham laparotomy, was performed on outbred CD-1 mice. Concentrations of tumor necrosis factor alpha (TNF-alpha), interleukin-6 (IL-6), and the anti-inflammatory cytokine IL-10 were measured (by enzyme-linked immunosorbent assay) in serum, peritoneal lavage fluid, and liver and lung samples at 4, 8, 24, 48, and 96 h. As the diameter of the CLP needle decreased, the mortality rate decreased (at 48 h: large, 80%; intermediate, 40%; small, 20%; P < 0.05), the TNF-alpha and IL-6 concentrations decreased, and the time-to-peak TNF-alpha expression increased. In contrast, IL-10 concentration increased compared with baseline (serum at 24 h: large, 2.3-fold +/- 1.6-fold; intermediate, 2.0-fold +/- 0.5-fold; small, 49.9-fold +/- 8.3-fold; P < 0.05). Administration of IL-10 (5 microg, intraperitoneal) prior to CLP decreased mortality (P < 0.001). Administration of polyclonal anti-IL-10 serum prior to CLP (0.5 ml intraperitoneal) had the opposite effect and increased mortality (P < 0.001) and TNF-alpha, IL-6, and TNF-alpha mRNA expression compared with controls. Thus, severe sepsis is associated with a largely unopposed inflammatory response, and a largely unopposed inflammatory response (with anti-IL-10) results in severe sepsis and death. Less severe sepsis is associated with greater anti-inflammatory mediator expression, and greater anti-inflammatory mediator expression (with IL-10) results in less severe sepsis. Thus, the balance of inflammatory mediators is related to the severity and mortality of murine sepsis.
Eliciting Maltreated and Nonmaltreated Children's Transgression Disclosures: Narrative Practice Rapport Building and a Putative Confession

This study tested the effects of narrative practice rapport building (asking open-ended questions about a neutral event) and a putative confession (telling the child an adult "told me everything that happened and he wants you to tell the truth") on 4- to 9-year-old maltreated and nonmaltreated children's reports of an interaction with a stranger who asked them to keep toy breakage a secret (n = 264). Only one third of children who received no interview manipulations disclosed breakage; in response to a putative confession, one half disclosed. Narrative practice rapport building did not affect the likelihood of disclosure. Maltreated children and nonmaltreated children responded similarly to the manipulations. Neither narrative practice rapport building nor a putative confession increased false reports.
Predictive Thermal Inactivation Model for Effects of Temperature, Sodium Lactate, NaCl, and Sodium Pyrophosphate on Salmonella Serotypes in Ground Beef

ABSTRACT Analyses of survival data of a mixture of Salmonella spp. at fixed temperatures between 55°C (131°F) and 71.1°C (160°F) in ground beef matrices containing concentrations of salt between 0 and 4.5%, concentrations of sodium pyrophosphate (SPP) between 0 and 0.5%, and concentrations of sodium lactate (NaL) between 0 and 4.5% indicated that heat resistance of Salmonella increases with increasing levels of SPP and salt, except that, for salt, for larger lethalities close to 6.5, the effect of salt was evident only at low temperatures (<64°C). NaL did not seem to affect the heat resistance of Salmonella as much as the effects induced by the other variables studied. An omnibus model for predicting the lethality for given times and temperatures for ground beef matrices within the range studied was developed that reflects the convex survival curves that were observed. However, the standard errors of the predicted lethalities from this models are large, so consequently, a model, specific for predicting the times needed to obtained a lethality of 6.5 log10, was developed, using estimated results of times derived from the individual survival curves. For the latter model, the coefficient of variation (CV) of predicted times range from about 6 to 25%. For example, at 60°C, when increasing the concentration of salt from 0 to 4.5%, and assuming that the concentration of SPP is 0%, the time to reach a 6.5-log10 relative reduction is predicted to increase from 20 min (CV = 11%) to 48 min (CV = 15%), a 2.4 factor (CV = 19%). At 71.1°C (160°F) the model predicts that more than 0.5 min is needed to achieve a 6.5-log10 relative reduction.
FQM: a fast quality measure for efficient transmission of textured 3D models

In this paper, we propose an efficient transmission method to stream textured 3D models. We develop a bit-allocation algorithm that distributes the bit budget between the geometry and the mapped texture to maximize the quality of the model displayed on the client's screen. Both the geometry and the texture are progressively and independently compressed. The resolutions for the geometry and the texture are selected to maximize the quality for a given bitrate. We further propose a novel and fast quality measure (FQM) to quantify the perceptual fidelity of the simplified model. Experimental results demonstrate the effectiveness of the proposed bit-allocation algorithm using FQM. For example, when the bit budget is 10KB, the quality of the <sc>Zebra</sc> model is improved by 15% using the proposed method compared to distributing the bit budget equally between the geometry and the texture.
Sudden Infant Death Syndrome and the Genetics of Inflammation

Several studies report signs of slight infection prior to death in cases of sudden infant death syndrome (SIDS). Based on this, a hypothesis of an altered immunological homeostasis has been postulated. The cytokines are important cellular mediators that are crucial for infant health by regulating cell activity during the inflammatory process. The pro-inflammatory cytokines favor inflammation; the most important of these are IL-1α, IL-1β, IL-6, IL-8, IL-12, IL-18, TNF-α, and IFN-γ. These cytokines are controlled by the anti-inflammatory cytokines. This is accomplished by reducing the pro-inflammatory cytokine production, and thus counteracts their biological effect. The major anti-inflammatory cytokines are interleukin-1 receptor antagonist (IL-1ra), IL-4, IL-10, IL-11, and IL-13. The last decade there has been focused on genetic studies within genes that are important for the immune system, for SIDS with a special interest of the genes encoding the cytokines. This is because the cytokine genes are considered to be the genes most likely to explain the vulnerability to infection, and several studies have investigated these genes in an attempt to uncover associations between SIDS and different genetic variants. So far, the genes encoding IL-1, IL-6, IL-10, and TNF-α are the most investigated within SIDS research, and several studies indicate associations between specific variants of these genes and SIDS. Taken together, this may indicate that in at least a subset of SIDS predisposing genetic variants of the immune genes are involved. However, the immune system and the cytokine network are complex, and more studies are needed in order to better understand the interplay between different genetic variations and how this may contribute to an unfavorable immunological response.
Possibilistic Behavior Recognition in Smart Homes for Cognitive Assistance

Providing cognitive assistance in smart homes is a field of research that receives a lot of attention lately. In order to give adequate assistance at the opportune moment, we need to recognize the observed behavior when the patient carries out some activities in a smart home. To address this challenging issue, we present a formal activity recognition framework based on possibility theory. We present initial results from an implementation of this possibilistic recognition approach in a smart home laboratory.
On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards

We consider a combinatorial generalization of the classical multi-armed bandit problem that is defined as follows. There is a given bipartite graph of M users and N¡YM resources. For each user-resource pair (i,j), there is an associated state that evolves as an aperiodic irreducible finite-state Markov chain with unknown parameters, with transitions occurring each time the particular user i is allocated resource j. The user i receives a reward that depends on the corresponding state each time it is allocated the resource j. The system objective is to learn the best matching of users to resources so that the long-term sum of the rewards received by all users is maximized. This corresponds to minimizing regret, defined here as the gap between the expected total reward that can be obtained by the best-possible static matching and the expected total reward that can be achieved by a given algorithm. We present a polynomial-storage and polynomial-complexity-per-step matching-learning algorithm for this problem. We show that this algorithm can achieve a regret that is uniformly arbitrarily close to logarithmic in time and polynomial in the number of users and resources. This formulation is broadly applicable to scheduling and switching problems in communication networks including cognitive radio networks and significantly extends prior results in the area.
Dopamine D2 Occupancy as a Biomarker for Antipsychotics: Quantifying the Relationship with Efficacy and Extrapyramidal Symptoms

For currently available antipsychotic drugs, blockade of dopamine D2 receptors is a critical component for achieving antipsychotic efficacy, but it is also a driving factor in the development of extrapyramidal symptoms (EPS). To inform the clinical development of asenapine, generic mathematical models have been developed for predicting antipsychotic efficacy and EPS tolerability based on D2 receptor occupancy. Clinical data on pharmacokinetics, D2 receptor occupancy, efficacy, and EPS for several antipsychotics were collected from the public domain. Asenapine data were obtained from in-house trials. D2 receptor occupancy data were restricted to published positron emission tomography studies that included blood sampling for pharmacokinetics. Clinical efficacy data were restricted to group mean endpoint data from short-term placebo-controlled trials, whereas EPS evaluation also included some non-placebo-controlled trials. A generally applicable model connecting antipsychotic dose, pharmacokinetics, D2 receptor occupancy, Positive and Negative Syndrome Scale (PANSS) response, and effect on Simpson–Angus Scale (SAS) was then developed. The empirical models describing the D2–PANSS and D2–SAS relationships were used successfully to aid dose selection for asenapine phase II and III trials. A broader use can be envisaged as a dose selection tool for new antipsychotics with D2 antagonist properties in the treatment of schizophrenia.
Pituitary gland volume and psychosocial stress among children at elevated risk for schizophrenia

Background Pituitary volume enlargements have been observed among individuals with first-episode psychosis. These abnormalities are suggestive of hypothalamic–pituitary–adrenal (HPA) axis hyperactivity, which may contribute to the development of psychosis. However, the extent to which these abnormalities characterize individuals at elevated risk for schizophrenia prior to illness onset is currently unclear, as volume increases, decreases and no volume differences have all been reported relative to controls. The current study aimed to determine whether antipsychotic-naive, putatively at-risk children who present multiple antecedents of schizophrenia (ASz) or a family history of illness (FHx) show pituitary volume abnormalities relative to typically developing (TD) children. An additional aim was to explore the association between pituitary volume and experiences of psychosocial stress. Method ASz (n = 30), FHx (n = 22) and TD (n = 32) children were identified at age 9–12 years using a novel community-screening procedure or as relatives of individuals with schizophrenia. Measures of pituitary volume and psychosocial stress were obtained at age 11–14 years. Results Neither ASz nor FHx children showed differences in pituitary volume relative to TD children. Among FHx children only, pituitary volume was negatively associated with current distress relating to negative life events and exposure to physical punishment. Conclusions The lack of pituitary volume abnormalities among ASz and FHx children is consistent with our previous work demonstrating that these children are not characterized by elevated diurnal cortisol levels. The findings imply that these biological markers of HPA axis hyperactivity, observed in some older samples of high-risk individuals, may emerge later, more proximally to disease onset.
Prognosis of Patients With Left Ventricular Dysfunction, With and Without Viable Myocardium After Myocardial Infarction: Relative Efficacy of Medical Therapy and Revascularization

BackgroundThe uptake of F-18 deoxyglucose into dysfunction segments after myocardial infarction identifies metabolically active (FDG+) or inactive (FDG−) myocardium. Although patients with FDG+ segments have been found to be at risk for adverse events, the prognostic significance of viable myocardium in relation to other influences on postinfarction prognosis, including revascularization, remain ill defined. The purpose of this study was to investigate the relative prognostic significance of FDG+ tissue and to establish whether myocardial revascularization in patients with viable tissue attenuates the risk of adverse outcome. Methods and ResultsOne hundred thirty-seven patients with left ventricular dysfunction and resting perfusion defects after myocardial infarction underwent positron emission tomography with both dipyridamole stress Rb-82 perfusion imaging and FDG imaging. After the exclusion of 4 patients proceeding to transplantation, 2 with uninterpretable scans and 2 lost to follow-up, 129 patients were followed clinically for 17 ± 9 months. Four groups were defined: patients with FDG+ dysfunctional myocardium who were revascularized (n = 49) or treated medically (n = 21) and those with FDG− segments who were revascularized (n = 19) or treated medically (n = 40). The groups of patients with FDG+ or FDG− findings, with and without revascularization, did not differ with respect to known determinants of postinfarction prognosis: age, left ventricular ejection fraction, or the prevalence of multivessel disease. Nonfatal ischemic events occurred in 48% of medically treated FDG+ patients compared with 8% of revascularized patients with FDG+ tissue (P < .001) and 5% of patients with FDG- myocardium (P < .001). Thirteen patients died from cardiac causes; 11 (85%) had a left ventricular ejection fraction of < 30%, and these patients were evenly distributed between FDG+ and FDG− groups. Using Cox's proportional hazards model, only the presence of FDG+ myocardium (odds ratio, 12.9; P < .001) and the absence of revascularization (odds ratio, 5.8; P = .002) independently predicted ischemic events, while only age (P = .02) and ejection fraction (P < .001) but not the presence of viable myocardium were predictive of death. ConclusionsResidual viable myocardium after myocardial infarction may act as an unstable substrate for further events unless it is revascularized. Despite this association, age and left ventricular dysfunction remained the strongest predictors of cardiac death after myocardial infarction in these patients with a spectrum of left ventricular dysfunction.
Modeling Gross Primary Production of Agro-Forestry Ecosystems by Assimilation of Satellite-Derived Information in a Process-Based Model

In this paper we present results obtained in the framework of a regional-scale analysis of the carbon budget of poplar plantations in Northern Italy. We explored the ability of the process-based model BIOME-BGC to estimate the gross primary production (GPP) using an inverse modeling approach exploiting eddy covariance and satellite data. We firstly present a version of BIOME-BGC coupled with the radiative transfer models PROSPECT and SAILH (named PROSAILH-BGC) with the aims of i) improving the BIOME-BGC description of the radiative transfer regime within the canopy and ii) allowing the assimilation of remotely-sensed vegetation index time series, such as MODIS NDVI, into the model. Secondly, we present a two-step model inversion for optimization of model parameters. In the first step, some key ecophysiological parameters were optimized against data collected by an eddy covariance flux tower. In the second step, important information about phenological dates and about standing biomass were optimized against MODIS NDVI. Results obtained showed that the PROSAILH-BGC allowed simulation of MODIS NDVI with good accuracy and that we described better the canopy radiation regime. The inverse modeling approach was demonstrated to be useful for the optimization of ecophysiological model parameters, phenological dates and parameters related to the standing biomass, allowing good accuracy of daily and annual GPP predictions. In summary, this study showed that assimilation of eddy covariance and remote sensing data in a process model may provide important information for modeling gross primary production at regional scale.
Rhesus Macaque MHC Class I Molecules Present HLA-B-Like Peptides1

SIV-infected Indian rhesus macaques (Macaca mulatta) are an important animal model for humans infected with HIV. Understanding macaque (M. mulatta class I (Mamu)) MHC class I-peptide binding facilitates the comparison of SIV- and HIV-specific cellular immune responses. In this study, we characterized the endogenous peptide-binding properties of three Mamu-A (A*02, A*08, A*11) and three Mamu-B (B*01, B*03, B*12) class I molecules. Motif comparisons revealed that five of the six macaque class I molecules (A*02, A*08, A*11, B*01, and B*03) have peptide-binding motifs similar to those of human class I molecules. Of the 65 macaque endogenous peptide ligands that we sequenced by tandem mass spectroscopy, 5 were previously eluted from HLA class I molecules. Nonamers predominated among the individual ligands, and both the motifs and the individual ligands indicated P2, P9, and various ancillary anchors. Interestingly, peptide binding of the Mamu-A and Mamu-B molecules exhibited cross-species peptide-presentation overlap primarily with HLA-B molecules. Indeed, all of the macaque class I molecules appeared HLA-B-like in peptide presentation. Remarkably, the overlap in macaque- and HLA-peptide presentation occurred despite divergent class I peptide-binding grooves. Macaque and human class I differing by up to 42 aa (13–23%) within the α-1 and α-2 domains, including substantial divergence within specificity pockets A-F, bound the same endogenous peptide. Therefore, endogenous peptide characterization indicates that macaque class I molecules may be the functional equivalents of HLA-B molecules.
Generalized Anxiety Disorder and Panic Disorder in the Elderly: A Review

&NA; Practicing psychiatrists frequently encounter elderly patients with generalized anxiety disorder or panic disorder. Unfortunately, the empirical literature regarding the assessment, diagnosis, and treatment of these illnesses in older individuals is sparse, despite the attention directed to them in younger patients. In this paper studies of generalized anxiety and panic disorders among the elderly are reviewed and compared to similar investigations among younger adults to assess our current understanding of the epidemiology, etiology, diagnosis, and treatment of these conditions. Articles were selected from those retrieved by Index Medicus (papers in English, published in 1992 or later; search terms “anxiety”, “anxiety disorders”, “panic disorder” and “elderly”).