Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevention and reversal of ketamine-induced schizophrenia related behavior by minocycline in mice: Possible involvement of antioxidant and nitrergic pathways

It has been hypothesized that oxidative imbalance and alterations in nitrergic signaling play a role in the neurobiology of schizophrenia. Preliminary evidence suggests that adjunctive minocycline treatment is efficacious for cognitive and negative symptoms of schizophrenia. This study investigated the effects of minocycline in the prevention and reversal of ketamine-induced schizophrenia-like behaviors in mice. In the reversal protocol, animals received ketamine (20 mg/kg per day intraperitoneally or saline for 14 days, and minocycline (25 or 50 mg/kg daily), risperidone or vehicle treatment from days 8 to 14. In the prevention protocol, mice were pretreated with minocycline, risperidone or vehicle prior to ketamine. Behaviors related to positive (locomotor activity and prepulse inhibition of startle), negative (social interaction) and cognitive (Y maze) symptoms of schizophrenia were also assessed. Glutathione (GSH), thiobarbituric acid-reactive substances (TBARS) and nitrite levels were measured in the prefrontal cortex, hippocampus and striatum. Minocycline and risperidone prevented and reversed ketamine-induced alterations in behavioral paradigms, oxidative markers (i.e. ketamine-induced decrease and increase in GSH levels and TBARS content, respectively) as well as nitrite levels in the striatum. These data provide a rationale for evaluating minocycline as a novel psychotropic agent and suggest that its mechanism of action includes antioxidant and nitrergic systems.
ANALISIS REGRESI DATA PANEL PADA PERTUMBUHAN EKONOMI DI NEGARA â€“ NEGARA ASIA

Panel data regression analysis is a combination of data time series and cross section data. The use of panel data can explain two kinds of information that are information between units and time. The purpose of this study is to determine the factors affecting Economic Growth in Asian Countries. Cross section data comprising 8 countries and time series from year 1990 to 2016 are used. The result of the study suggests that the best regression model estimation is the fixed effect model. With this model, 24.57% of the variability of Economic Growth can be explained by Tax variable, Government Debt, Household Consumption and Loan Interest Rate. The estimation of the panel regression equation is Y = 5.719698 - 2.54E-14 PAJAKit -3.57E-15 HUTANGIT + 6.52E-15 CONSUMPTES - 0.043112 CREDITITE. Tax, Government Debt and Loan Interest Rates have a negative and significant effect on economic growth, while Household Consumption has a significant positive effect on economic growth.Key wordsÂ : Economic Growth, Taxes, Government Debt, Household Consumption, Loan Interest Rate
Subcorneal colocalization of the small heat shock protein, hsp27, with keratins and proteins of the cornified cell envelope

Background hsp27 is a member of the small heat shock protein family. Its expression in epidermal keratinocytes in situ and in tissue culture correlates with differentiation. Experimental evidence points to the fact that hsp27 is a molecular chaperone and is involved in the regulation of cell growth and differentiation.
Group I and II metabotropic glutamate receptors modulate respiratory activity in the lamprey

The respiratory role of group I and II metabotropic glutamate receptors (mGluRs) was investigated in the in vitro lamprey brainstem preparation by analysing changes in respiratory activity induced by bath application of specific agonists (10 and 25 µm) and antagonists (500 µm). Respiratory responses reached their maximum within 10 or 15 min, without any obvious further changes during application periods of 60 min The broad‐spectrum mGluR agonist (1S,3R)‐1‐aminocyclopentane‐1,3‐dicarboxylic acid (ACPD) and the specific group I mGluR agonist (S)‐3,5‐dihydroxyphenylglycine (DHPG) caused dose‐dependent increases in respiratory frequency and peak vagal activity. DHPG at higher concentrations (50–100 µm) did not cause any further consistent change in respiratory variables. Two different agonists acting on group II mGluRs, i.e. (2S,3S,4S)‐CCG/(2S,1′S,2′S)‐2‐(carboxycyclopropyl)‐glycine (L‐CCG‐I) and (2S,2′R,3′R)‐2‐(2′,3′‐dicarboxycyclopropyl)glycine (DCG‐IV), were employed. At 10 µm DCG‐IV increased respiratory frequency, whilst L‐CCG‐I did not produce any significant effect. Both drugs increased respiratory frequency and peak vagal amplitude at 25 µm. The nonselective group I and II antagonist (S)‐α‐methyl‐4‐carboxyphenylglycine (MCPG) as well as the specific group I antagonist (RS)‐1‐aminoindan‐1,5‐dicarboxylic acid (AIDA) elicited reversible reductions in respiratory frequency. Blockade of group II mGluRs by (2S)‐α‐ethylglutamic acid (EGLU) increased both frequency and peak amplitude of vagal bursts. The results indicate that both group I and II mGluRs have an important modulatory role in the control of the lamprey pattern of breathing, probably through an action on the rhythm generating mechanisms. They support the view that these receptors are activated under physiological conditions and differentially affect the frequency and intensity of respiratory bursts.
Degradation of the Cu Residual Resistivity Ratio in Cr-Plated Composite Nb3Sn Wires

Some of the bronze-route Nb3Sn wires produced for the ITER toroidal field magnets have values of the Cu residual resistivity ratio (RRR) lower than the specification (RRR > 100) when reacted with the longest ITER heat treatment cycle (cycle A: high-temperature plateau 200 h at 650 °C). As the low RRR value was suspected to be due to the Cr plating, CERN has carried out extensive investigations on two different Cr-plated Nb3Sn wires in order to assess how the RRR is influenced by the Cr plating. Each type of wire was reacted with three heat treatments differing for the duration of the high-temperature plateau (from 100 to 200 h). The presence of Cr in the Cu stabilizer was investigated using a transmission electron microscope together with energy-dispersive X-ray spectrometry. In the most critical wire reacted for 200 h, CrS nanoparticles and Cr in solid solution (0.02 at.%) with Cu were found up to 13 μm from the Cr-Cu interface. At larger distance, we could not quantify the Cr concentrations because of the detector sensitivity limit (about 0.016 at.% Cr in Cu). We provide a model that can explain the measured RRR degradation purely in terms of the Cr contamination that we observed.
Challenges and opportunities in developing and sharing solutions by patients and caregivers: the story of a knowledge commons for the patient innovation project

The Patient Innovation project is an initiative that aims to create a knowledge commons for patients and nonprofessional caregivers to share and further develop their innovative solutions to medical care–related problems through an online platform, https://patient-innovation.com. Patients and nonprofessional caregivers are the largest, and most important, group of stakeholders in the health care value chain. After all, the system exists for their benefit. Traditionally, however, they have been perceived as passive recipients of medical care, merely buying and consuming the solutions and products that “medical producers” create and provide. This perspective has influenced the development of an entire health care ecosystem that reinforces the passive position of patients and caregivers. The assumption of passivity is highly flawed, as demonstrated by research aimed at studying innovation activity by “users” in health care and understanding the role of patients of chronic diseases (or their nonprofessional caregivers) in developing innovative solutions to help them cope with their health conditions (e.g., Oliveira et al. 2015; Oliveira and Canhão 2016). That collaborative and interdisciplinary research effort demonstrated that patients and their nonprofessional caregivers are major sources of health care product and service “user innovations” (e.g., Oliveira and von Hippel 2011; Oliveira et al. 2015; von Hippel 1988, 2005). Most of the studies of innovation activity by patients build on several decades of “user innovation” research. This research demonstrated that ordinary users, not only commercial entities and research laboratories, are an important source of innovation. In his seminal work in this area, Eric von Hippel, defined user innovators as firms and
Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of R×C Tables

Summary Nonparametric regression models are proposed in the framework of ecological inference for exploratory modeling of disease prevalence rates adjusted for variables, such as age, ethnicity/race, and socio‐economic status. Ecological inference is needed when a response variable and covariate are not available at the subject level because only summary statistics are available for the reporting unit, for example, in the form of R×C tables. In this article, only the marginal counts are assumed available in the sample of R×C contingency tables for modeling the joint distribution of counts. A general form for the ecological regression model is proposed, whereby certain covariates are included as a varying coefficient regression model, whereas others are included as a functional linear model. The nonparametric regression curves are modeled as splines fit by penalized weighted least squares. A data‐driven selection of the smoothing parameter is proposed using the pointwise maximum squared bias computed from averaging kernels (explained by O'Sullivan, 1986 , Statistical Science 1, 502–517). Analytic expressions for bias and variance are provided that could be used to study the rates of convergence of the estimators. Instead, this article focuses on demonstrating the utility of the estimators in a study of disparity in health outcomes by ethnicity/race.
Evidence of an American Origin for Symbiosis-Related Genes in Rhizobium lusitanum

ABSTRACT Randomly amplified polymorphic DNA (RAPD) analysis was used to investigate the diversity of 179 bean isolates recovered from six field sites in the Arcos de Valdevez region of northwestern Portugal. The isolates were divided into 6 groups based on the fingerprint patterns that were obtained. Representatives for each group were selected for sequence analysis of 4 chromosomal DNA regions. Five of the groups were placed within Rhizobium lusitanum, and the other group was placed within R. tropici type IIA. Therefore, the collection of Portuguese bean isolates was shown to include the two species R. lusitanum and R. tropici. In plant tests, the strains P1-7, P1-1, P1-2, and P1-16 of R. lusitanum nodulated and formed nitrogen-fixing symbioses both with Phaseolus vulgaris and Leucaena leucocephala. A methyltransferase-encoding nodS gene identical with the R. tropici locus that confers wide host range was detected in the strain P1-7 as well as 24 others identified as R. lusitanum. A methyltransferase-encoding nodS gene also was detected in the remaining isolates of R. lusitanum, but in this case the locus was that identified with the narrow-host-range R. etli. Representatives of isolates with the nodS of R. etli formed effective nitrogen-fixing symbioses with P. vulgaris and did not nodulate L. leucocephala. From sequence data of nodS, the R. lusitanum genes for symbiosis were placed within those of either R. tropici or R. etli. These results would support the suggestion that R. lusitanum was the recipient of the genes for symbiosis with beans from both R. tropici and R. etli.
A NUMERICAL METHOD FOR THE CALIBRATION OF IN SITU GAMMA RAY SPECTROSCOPY SYSTEMS

High purity germanium in situ gamma ray spectroscopy systems are typically calibrated using pre-calculated tables and empirical formulas to estimate the response of a detector to an exponentially distributed source in a soil matrix. Although this method is effective, it has estimated uncertainties of 10–15%, is limited to only a restricted set of measurement scenarios, and the approach only applies to an exponentially distributed source. In addition, the only soil parameters that can be varied are density and moisture content, while soil attenuation properties are fixed. This paper presents a more flexible method for performing such calibrations. For this new method, a three- or four-dimensional analytical expression is derived that is a combination of a theoretical equation and experimentally measured data. Numerical methods are used to integrate this expression, which approximates the response of a detector to a large variety of source distributions within any soil, concrete, or other matrix. The calculation method is flexible enough to allow for the variation of multiple parameters, including media attenuation properties and the measurement geometry. The method could easily be adapted to horizontally non-uniform sources as well. Detector responses are calculated analytically and Monte Carlo radiation transport simulations are used to verify the results. Results indicate that the method adds an uncertainty of only approximately 5% to the other uncertainties typically associated with the calibration of a detector system.
Professional Learning Community (PLC): Technology Integration at a Title I Elementary School.

PROFESSIONAL LEARNING COMMUNITY (PLC): TECHNOLOGY INTEGRATION AT A TITLE I ELEMENTARY SCHOOL by Pamela L. Cheng Calls for educational technology integration over more than thirty years have taken on new urgency in an era of computerized assessments for accountability. As Internet Communication Technology (ICT) becomes more widely available, the digital divide is evolving into a digital use divide, characterized by differences between students’ productive uses of technology to create and communicate compared with passive uses for entertainment or skills practice. A growing body of research points to the important interplay among teachers’ frames of reference, school-level context, and alignment of supports in creating conditions for technology innovation. Meanwhile Professional Learning Communities (PLCs) hold potential as leverage points for affecting teacher beliefs and practices regarding technology use. This study analyzes interactions among a group of teacher leaders participating in a tech PLC at a school on the verge of becoming a technology-focused school. Analysis of the group’s natural discourse points to important elements of teacher talk and shared resources that contribute to aligning the group’s goals and practices when innovating with technology. It also illustrates how alignment between meso-level and micro-level context factors help to facilitate teachers’ ability to innovate in ways that have the potential to address the digital use divide.
Sustainable tourism modeling: Pricing decisions and evolutionarily stable strategies for competitive tour operators

In this article, we investigate two competitive tour operators (TOs) who choose between traditional tourism strategy (strategy T) and green tourism innovation strategy (strategy G). Our article attempts to address the following important issues using evolutionary game models: when would TOs facing environment-friendly tourists adopt the strategy G? How do TOs set product prices under different strategy combinations? How can the government effectively motivate TOs to pursue green tourism? Our research results show that a green tourism innovation pioneer could monopolize the market under certain conditions. Furthermore, when the environmental preference of tourists is sufficiently low, no TOs would adopt the strategy G; when it is moderate, only the TO with cost advantage (stronger TO) would adopt the strategy G; when it is sufficiently high, both TOs would select the strategy G. Our research also demonstrates that the stronger TO implements the strategy G mostly independent of the rival’s decisions, but the opposite is true for the TO with cost disadvantage (weaker TO). We further investigate potential government subsidies that can motivate TOs to carry out green tourism simultaneously. Our results suggest that to be more effective, the government first offer the green subsidy to highly competitive tourism locations and/or more innovative TOs.
An evaluation of the psychological impact of operational rest and recuperation in United Kingdom Armed Forces personnel: a post-intervention survey

Objective Rest and Recuperation (R&R) is a period of home leave taken during an operational deployment; we sought to examine the relationship between taking R&R and mental health. Design A survey-based post-intervention evaluation. Setting UK Participants 232 members of the UK Armed Forces; 42 of which completed pre and post R&R surveys. Main Outcome Measures Alcohol use, Post Traumatic Stress Disorder, Common Mental Disorder Symptoms and R&R experiences. Results 12.1% of respondents (n=27) reported symptoms of common mental disorder and 3.7% (n=8) reported probable PTSD. 50.0% (n=110) reported hazardous use of alcohol during R&R. In the pre- and post-assessed sample, mental health status and alcohol use levels were similar at both survey points. Using principal component analysis, five components of R&R were identified; mentally switching off from deployment, travel experience, physical recovery, relaxation, rest and social support. R&R was extremely popular and although it did not improve mental health overall, the ability to engage with or derive satisfaction from aspects of the five components was significantly associated with better mental health and less alcohol use at the end of R&R. Conclusion Operational commanders should advise personnel about the best way to actively engage with R&R before they leave theatre and be aware of the significant detrimental impact of disrupted travel arrangements upon the ability to benefit from R&R.
Hepatitis C virus treatment and liver transplantation in the era of new antiviral therapies

Purpose of reviewThe new standard-of-care treatment for genotype 1 hepatitis C virus infection is a combination of PEG-interferon (PEG-IFN), ribavirin (RBV) and a protease inhibitor – telaprevir or boceprevir. As triple therapy is not yet approved for use in decompensated cirrhotics and liver transplant recipients, we examine the efficacy and safety of PEG-IFN, RBV and protease inhibitors in nontransplant populations to inform the current and future treatment paradigms for transplant candidates and recipients. Recent findingsProtease inhibitor-based triple therapy is more efficacious than PEG-IFN and RBV in nontransplant genotype 1 patients, so sustained virologic response rates are predicted to be higher in waitlisted candidates and transplant recipients treated with protease inhibitor-triple therapy. Because of the need to use a backbone of PEG-IFN and RBV, tolerability of therapy will remain a major challenge. Anemia, a well recognized side-effect with PEG-IFN and RBV, will be especially common with protease inhibitor-triple therapy. Both protease inhibitors can modify the levels of drugs metabolized by the CYP3A/4 pathway, and in posttransplant patients, the protease inhibitors increase the levels of cyclosporine and tacrolimus, with the magnitude of the drug–drug interactions varying with protease inhibitor and type of calcineurin inhibitor (CNI). SummaryGiven the complexities of treatment, it is best undertaken by experienced clinicians and only after a detailed discussion of risks–benefits with the patient. To maximize the benefit while minimizing risk, only Child-Turcott-Pugh A (CPT-A) cirrhotics should be considered for pretransplant protease inhibitor-triple therapy. For transplant recipients, very close monitoring and adjustment of CNI levels is critical during protease inhibitor-triple therapy. Cytopenias, especially anemia, will require aggressive management.
Genomic Surveillance Reveals Diversity of Multidrug-Resistant Organism Colonization and Infection: A Prospective Cohort Study in Liver Transplant Recipients

Background Multidrug-resistant organisms (MDROs) are an important cause of morbidity and mortality after solid organ transplantation. We aimed to characterize MDRO colonization dynamics and infection in liver transplant (LT) recipients through innovative use of active surveillance and whole-genome sequencing (WGS). Methods We prospectively enrolled consecutive adult patients undergoing LT from March 2014 to March 2016. Fecal samples were collected at multiple timepoints from time of enrollment to 12 months posttransplant. Samples were screened for carbapenem-resistant Enterobacteriaceae (CRE), Enterobacteriaceae resistant to third-generation cephalosporins (Ceph-RE), and vancomycin-resistant enterococci. We performed WGS of CRE and selected Ceph-RE isolates. We also collected clinical data including demographics, transplant characteristics, and infection data. Results We collected 998 stool samples and 119 rectal swabs from 128 patients. MDRO colonization was detected in 86 (67%) patients at least once and was significantly associated with subsequent MDRO infection (0 vs 19.8%, P = .002). Child-Turcotte-Pugh score at LT and duration of post-LT hospitalization were independent predictors of both MDRO colonization and infection. Temporal dynamics differed between MDROs with respect to onset of colonization, clearance, and infections. We detected an unexpected diversity of CRE colonizing isolates and previously unrecognized transmission that spanned Ceph-RE and CRE phenotypes, as well as a cluster of mcr-1-producing isolates. Conclusions Active surveillance and WGS showed that MDRO colonization is a highly dynamic and complex process after LT. Understanding that complexity is crucial for informing decisions regarding MDRO infection control, use of therapeutic decolonization, and empiric treatment regimens.