Miracle-dz/UniFAR-FTUs huggingface dataset:
A 24-week, multicenter, open-label, randomized study to compare changes in glucose metabolism in patients with schizophrenia receiving treatment with olanzapine, quetiapine, or risperidone.

OBJECTIVE This randomized, 24-week, flexible-dose study compared changes in glucose metabolism in patients with DSM-IV schizophrenia receiving initial exposure to olanzapine, quetiapine, or risperidone. METHOD The hypothesized primary endpoint was change (baseline to week 24) in area under the curve (AUC) 0- to 2-hour plasma glucose values during an oral glucose tolerance test (OGTT); primary analysis: olanzapine versus quetiapine. Secondary endpoints included mean change in AUC 0- to 2-hour plasma insulin values, insulin sensitivity index, and fasting lipids. The first patient enrolled on April 29, 2004, and the last patient completed the study on October 24, 2005. RESULTS Mean weight change (kg) over 24 weeks was +3.7 (quetiapine), +4.6 (olanzapine), and +3.6 (risperidone). Based on data from 395 patients (quetiapine, N = 115 [mean dose = 607.0 mg/day], olanzapine, N = 146 [mean dose = 15.2 mg/day], and risperidone, N = 134 [mean dose = 5.2 mg/day]), mean change in AUC 0- to 2-hour glucose value (mg/dL x h) at week 24 was significantly lower for quetiapine versus olanzapine (t = 1.98, df = 377, p = .048). Increases in AUC 0- to 2-hour glucose values were statistically significant with olanzapine (+21.9 mg/dL x h, 95% CI = 11.5 to 32.4 mg/dL x h) and risperidone (+18.8 mg/dL x h, 95% CI = 8.1 to 29.4 mg/dL x h), but not quetiapine (+9.1 mg/dL x h, 95% CI = -2.3 to 20.5 mg/dL x h). AUC 0- to 2-hour insulin values increased statistically significantly with olanzapine (+24.5%, 95% CI = 11.5% to 39.0%), but not with quetiapine or risperidone. Reductions in insulin sensitivity index were statistically significant with olanzapine (-19.1%, 95% CI = -27.9% to -9.3%) and risperidone (-15.8%, 95% CI = -25.1% to -5.4%), but not quetiapine. Total cholesterol and low-density lipoprotein levels increased statistically significantly with olanzapine (+21.1 mg/dL, 95% CI = 13.0 to 29.2 mg/dL, and +20.5 mg/dL, 95% CI = 13.8 to 27.1 mg/dL, respectively) and quetiapine (+13.1 mg/dL, 95% CI = 4.3 to 21.9 mg/dL, and +13.3 mg/dL, 95% CI = 6.1 to 20.5 mg/dL, respectively), but not risperidone. Statistically significant increases in triglycerides (+30.9 mg/dL, 95% CI = 10.9 to 51.0 mg/dL), total cholesterol/high-density lipoprotein (HDL) ratio (0.5, 95% CI = 0.2 to 0.8), and triglyceride/HDL ratio (0.3, 95% CI = 0.0 to 0.6) were observed with olanzapine only. CONCLUSION The results indicate a significant difference in the change in glucose tolerance during 6 months' treatment with olanzapine versus quetiapine, with significant reductions on olanzapine and risperidone, but not quetiapine; these differential changes were largely explained by changes in insulin sensitivity. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00214578.
Calcyclin (S100A6) regulates pulmonary fibroblast proliferation, morphology, and cytoskeletal organization in vitro

Calcyclin (S100A6) is a member of the S100A family of calcium binding proteins. While the precise function of calcyclin is unknown, calcyclin expression is associated with cell proliferation and calcyclin is expressed in several types of cancer phenotypes. In the present study, the functional role of calcyclin was further elucidated in pulmonary fibroblasts. Antisense S100A6 RNA expression inhibited serum and mechanical strain‐induced fibroblast proliferation. This attenuated proliferative response was accompanied by a flattened, spread cell morphology, and disruption of tropomyosin labeled microfilaments. Changes in cytoskeletal organization did not correspond with a decrease in tropomyosin levels. These observations suggest a role for calcyclin in modulating calcium dependent signaling events that regulate progression through the cell cycle. J. Cell. Biochem. 88: 848–854, 2003. © 2003 Wiley‐Liss, Inc.
Chaperone patterns in vernal keratoconjunctivitis are distinctive of cell and Hsp type and are modified by inflammatory stimuli

Vernal keratoconjunctivitis (VKC) is a severe ocular allergy with pathogenic mechanism poorly understood and no efficacious treatment. The aims of the study were to determine quantities and distribution of Hsp chaperones in the conjunctiva of VKC patients and assess their levels in conjunctival epithelial and fibroblast cultures exposed to inflammatory stimuli.
Identification of protein complexes and functional modules in integrated PPI networks

Mining the protein complexes and functional modules from protein-protein interaction (PPI) networks is vital to understand the mechanism of cellular components and protein functions. Most of the proposed methods had solely focused on static properties of the PPI networks since the available PPI data are static. However, cellular systems are highly dynamic. That is, the interactions of proteins are responsive to environmental cues to accomplish diverse cellular functions. It is important to consider the dynamic inherent within the PPI networks to identify protein complexes and functional modules. In addition, most computational methods did not distinguish between protein complexes and functional modules. It is important to distinguish between them since they are different protein organizations. In this paper, we propose a novel framework to analyze the PPI networks in dynamic conditions by integrating time-series gene expression profiles data and subcelluar localization data. The algorithm, CBMI, is developed to identify protein complexes in integrated PPI networks. By investigating multiple perspectives of proteins in the PPI networks, we identify the “dynamic” hubs in the PPI networks, and then present a new method to discover the functional modules in the PPI networks. The experimental results show that the integration of temporal gene expression data and subcelluar localization data with PPI data contributes to extracting the protein complexes more precisely. Comprehensive evaluations based on f-measure and functional annotations in MIPS database reveal that our algorithm, CBMI, outperforms other previous algorithms in identifying protein complexes, and the detected functional modules are statistically significant in terms of functional annotations. The proposed framework provides a new clue to distinguish between protein complexes and functional modules, and the developed algorithms can be an effective technique for the identification of them.
Lack of progress in tourist information search research: a critique of citation behaviour and knowledge development

ABSTRACT Knowledge construction is a crucial factor in the development of any field of study. While empirical papers sustain knowledge development in a field, systematic analysis of the literature and critiques of influential papers are core components of high-level knowledge construction. The aim of this paper is to critically evaluate Fodness and Murray’s ([1999]. A model of tourist information search behavior. Journal of Travel Research, 37(3), 220–230. ) seminal paper on information search and to assess how the model has been developed by the subsequent literature. A critique of the model highlighted that the original work had a number of shortcomings, particularly given recent advances in information technologies. The method consisted of a meta-analysis of 575 studies that cited Fodness and Murray’s work. The meta-analysis demonstrated that none of the subsequent studies attempted to further develop this well-cited model. The analysis also highlighted that many of the citations to the original study were superficial, and in some cases, incorrect, raising serious questions about citation practices in the tourism field more broadly. The main implication is that, in order to advance our understanding of tourism, we need robust studies that confirm and build on past research efforts to move the field forward.
Towards a two‐dimensional proteomic reference map of Bradyrhizobium japonicum CPAC 15: Spotlighting “hypothetical proteins”

The economic and ecological importance of the symbiosis of soybean with Bradyrhizobium japonicum strains is significant in several countries, particularly Brazil; however, up to now, only one complete and a draft genome for this species are available. In this study, we have obtained a proteomic reference map of B. japonicum strain CPAC 15 (=SEMIA 5079) – used in commercial inoculants for application to soybean crops in Brazil – grown under in vitro conditions. CPAC 15 belongs to the same serogroup as strain USDA 123, and both are known as the soybean bradyrhizobial strains with highest competitive and saprophytic known so far. To increase the precision of the proteomic map, we compared whole‐cell 2‐D protein gel‐electrophoresis profiles of CPAC 15 and of two related strains. One‐hundred and seventy representative spots, selected from the three profiles, were analyzed by MS. In total, 148 spots were successfully identified as cytoplasmic and periplasmic proteins belonging to diverse metabolic pathways, several of them related to the saprophytic and competitive abilities of CPAC 15. We attributed probable functions to 26 hypothetical proteins, including those involved in polyhydroxybutyrate metabolism, β‐lactamase, stress responses and aromatic compound degradation, all with high probability of being related to the saprophytic ability of CPAC 15. In addition, by providing valuable information about expressed proteins in B. japonicum in vitro, our results emphasize the importance of accurate functional annotation of uncharacterized expressed proteins, improving considerably our understanding of the legume–rhizobia symbiosis.
Relationship of cerebrospinal fluid pressure, fungal burden and outcome in patients with cryptococcal meningitis undergoing serial lumbar punctures

Objectives:To assess impact of serial lumbar punctures on association between cerebrospinal fluid (CSF) opening pressure and prognosis in HIV-associated cryptococcal meningitis; to explore time course and relationship of opening pressure with neurological findings, CSF fungal burden, immune response, and CD4 cell count. Design:Evaluation of 163 HIV-positive ART-naive patients enrolled in three trials of amphotericin B-based therapy for cryptococcal meningitis in Thailand and South Africa. Methods:Study protocols required four lumbar punctures with measurements of opening pressure over the first 2 weeks of treatment and additional lumbar punctures if opening pressure raised. Fungal burden and clearance, CSF immune parameters, CD4 cell count, neurological symptoms and signs, and outcome at 2 and 10 weeks were compared between groups categorized by opening pressure at cryptococcal meningitis diagnosis. Results:Patients with higher baseline fungal burden had higher baseline opening pressure. High fungal burden appeared necessary but not sufficient for development of high pressure. Baseline opening pressure was not associated with CD4 cell count, CSF pro-inflammatory cytokines, or altered mental status. Day 14 opening pressure was associated with day 14 fungal burden. Overall mortality was 12% (20/162) at 2 weeks and 26% (42/160) at 10 weeks, with no significant differences between opening pressure groups. Conclusion:Studies are needed to define factors, in addition to fungal burden, associated with raised opening pressure. Aggressive management of raised opening pressure through repeated CSF drainage appeared to prevent any adverse impact of raised opening pressure on outcome in patients with cryptococcal meningitis. The results support increasing access to manometers in resource-poor settings and routine management of opening pressure in patients with cryptococcal meningitis.
A sealed-bid multi-attribute auction protocol with strong bid privacy and bidder privacy

In this paper, a sealed-bid multi-attribute auction protocol that mainly focuses on security issues (i.e., bid privacy, bidder anonymity, and fairness problem) is presented. In recent years, existing literatures mainly focus on the multi-attribute winner determination problem and other issues, but research of multi-attribute e-auction just begin from the perspective of information security. The new proposal is motivated by the conflict between bidder anonymity and denial-of-service attack from an insider. It utilizes private set intersection method to solve the privacy problem of winner determination of sealed-bid multi-attribute auction. The proposed sealed-bid auction scheme preserves the strong privacy of the bids and provides verifiable correctness. According to the security analysis, it satisfies the security requirements of an e-auction. Copyright © 2013 John Wiley & Sons, Ltd.
Ras and neu oncogenes reverse serum inhibition and epidermal growth factor dependence of serum‐free mouse embryo cells

Serum‐free mouse embryo cells, cultured in basal nutrient medium supplemented with insulin, transferrin, epidermal growth factor, fibronectin, and high‐density lipoprotein, do not exhibit growth crisis, lack detectable chromosomal aberrations, are nontumorigenic in vivo, are dependent on epidermal growth factor for survival, and are growth inhibited by serum or platelet‐free plasma. These cells after transfection with the human Ha‐ras or rat neu oncogenes no longer required epidermal growth factor for survival, were tumorigenic in vivo, and also proliferated in serum‐containing medium. Autocrine activity capable of replacing epidermal growth factor was detected in conditioned medium from ras‐transformed cultures, but little such activity was detected in medium from neu‐transformed cultures. In addition, the capability of ras or neu‐transformed cells to grow in serum‐containing medium could not be mimicked in untransformed cells by the addition of growth factors or conditioned medium from transformed cells. These results suggest that the known structural similarity of the neu gene product to the EGF receptor is also reflected in a functional similarity by which the mutationally activated neu protein can replace the ligand‐activated EGF receptor. These results also suggest that the ability of ras‐and neutransformed cells to escape the effect of the inhibitory serum activity is a nonautocrine property distinct from the acquisition of EGF autonomy.
The nonfermentable dietary fiber hydroxypropyl methylcellulose modulates intestinal microbiota

Diet influences host metabolism and intestinal microbiota; however, detailed understanding of this tripartite interaction is limited. To determine whether the nonfermentable fiber hydroxypropyl methylcellulose (HPMC) could alter the intestinal microbiota and whether such changes correlated with metabolic improvements, C57B/L6 mice were normalized to a high‐fat diet (HFD), then either maintained on HFD (control), or switched to HFD supplemented with 10% HPMC, or a low‐fat diet (LFD). Compared to control treatment, both LFD and HPMC reduced weight gain (11.8 and 5.7 g, respectively), plasma cholesterol (23.1 and 19.6%), and liver triglycerides (73.1 and 44.6%), and, as revealed by 454‐pyrosequencing of the microbial 16S rRNA gene, decreased microbial α‐diversity and differentially altered intestinal microbiota. Both LFD and HPMC increased intestinal Erysipelotrichaceae (7.3‐ and 12.4‐fold) and decreased Lachnospiraceae (2.0‐ and 2.7‐fold), while only HPMC increased Peptostreptococcaceae (3.4‐fold) and decreased Ruminococcaceae (2.7‐fold). Specific microorganisms were directly linked with weight change and metabolic parameters in HPMC and HFD mice, but not in LFD mice, indicating that the intestinal microbiota may play differing roles during the two dietary modulations. This work indicates that HPMC is a potential prebiotic fiber that influences intestinal microbiota and improves host metabolism. —Cox, L. M. , Cho, I. , Young, S. A. , Kerr Anderson, W. H. , Waters, B. J., Hung, S. ‐C. , Gao, Z. , Mahana, D. , Bihan, M. , Alekseyenko, A. V. , Methé, B. A. , Blaser, M. J. The nonfermentable dietary fiber hydroxypropyl methylcellulose modulates intestinal microbiota. FASEB J. 27, 692–702 (2013). www.fasebj. org
Corporate-Governance Ratings and Company Performance: A Cross-European Study

Manuscript Type: Empirical Research Question/Issue: Prior studies have failed to unequivocally establish a positive relationship between corporategovernance ratings and company performance, although theoretically, we would expect to find one. In this paper, we try to establish whether a positive relationship exists through modeling the relationship more carefully. Research Findings/Insights: After controlling for selection bias and endogeneity simultaneously, we find a significant positive relationship between corporate-governance ratings and performance. However, the strength of this relationship seems to depend on the quality of the institutional environment. Finally, we find that improvements in corporate-governance ratings over time result in decreasing marginal benefits in terms of performance. Theoretical/Academic Implications: Our paper contributes to the literature by showing that improved corporategovernance ratings lead to better performance, but that econometric problems might obscure this relationship. We also show that for a sample of developed countries the institutional environment affects the relationship between governance ratings and performance. Finally, this paper contributes to the literature on the impact, regarding compliance and effectiveness, of codes of good governance. Practitioner/Policy Implications: Our results are relevant for both companies and policy makers. They indicate that companies can improve performance by adhering to good corporate-governance practices. For policy makers, the findings suggest that soft laws and the invisible hand of the market lead to companies improving their corporate governance.
Rangeland Livelihood Strategies under Varying Climate Regimes: Model Insights from Southern Kenya

Rangelands throughout sub-Saharan Africa are currently undergoing two major pressures: climate change (through altered rainfall and seasonality patterns) and habitat fragmentation (brought by land use change driven by land demand for agriculture and conservation). Here we explore these dimensions, investigating the impact of land use change decisions, by pastoralists in southern Kenya rangelands, on human well-being and animal densities using an agent-based model. The constructed agent-based model uses input biomass data simulated by the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) dynamic vegetation model and parameterized with data from literature. Scenarios of land use change under different rainfall years, land tenure types and levels of wildlife conservation support were simulated. Reflecting reality, our results show livestock grazing as the predominant land use that changes with precipitation and land tenure leading to varying livelihood strategies. For example, agriculture is the most common livelihood in wet years and conservation levels increase with increasing support of wildlife conservation initiatives. Our model demonstrates the complex and multiple interactions between pastoralists, land management and the environment. We highlight the importance of understanding the conditions driving the sustainability of semi-arid rangelands and the communities they support, and the role of external actors, such as wildlife conservation investors, in East Africa.
Improved Forecasting of Short Term Electricity Demand by using of Integrated Data Preparation and Input Selection Methods

The main aim of this paper is to emphasize on the significant role of data pre-processing phase in improving the short-term load demand forecasting. Different transformation approaches including normalization, Zscore and Box-Cox method are applied and various input selection methods including forward selection, backward selection, stepwise regression and principle component analysis are used to see how the combination of these pre-processing techniques will influence the performance of different parametric (ARIMA, ARIMAX, MLR) and non-parametric (NAR, NARX, SVR, ANFIS) predictors. The data was collected from the daily load demand of Ottawa, Canada. It was observed that the Box-Cox transformation significantly improved the performance of all predictors and the findings demonstrated the superior role of exogenous variables in accuracy improvement of all predictors. In terms of MAPE, the value of 2.27% for ARIMA model improved to 1.75% with ARIMAX using temperature, and it decreased from 1.46% to 1.334% by means of NARX model using normalized PCA which is applied on normalized data. In an overall view, the non-parametric algorithms had a considerable gain over parametric models and NARX network had the highest accuracy among all of the predictors.
Designing effective written health education materials: Considerations for health professionals

Purpose: Written health education materials can only be effective if they can be read, understood, and remembered by patients. The purpose of this article was to review the literature about features that should be incorporated into written health education materials to maximize their effectiveness, identify where there is consensus and debate about which features should be incorporated, and develop recommendations that health professionals can use when reviewing their existing materials and designing new materials. Method: Literature review of published research and education articles. Results: There is a large number of features that need to be considered when designing written health education materials so that they are suitable for the target audience and effective. Although there is consensus about the majority of features that should be included, further research is needed to explore the contribution of certain features, such as illustrations, to the effectiveness of written materials and the effect of well-designed written materials on patient outcomes. Conclusions: Health professionals need to provide their patients with written health education materials that are patient-orientated and designed according to the best practice principles in written health education material design.
Natural Pig Plasma Immunoglobulins Have Anti-Bacterial Effects: Potential for Use as Feed Supplement for Treatment of Intestinal Infections in Pigs

There is an increasing demand for non-antibiotics solutions to control infectious disease in intensive pig production. Here, one such alternative, namely pig antibodies purified from slaughterhouse blood was investigated in order to elucidate its potential usability to control post-weaning diarrhoea (PWD), which is one of the top indications for antibiotics usage in the pig production. A very cost-efficient and rapid one-step expanded bed adsorption (EBA) chromatography procedure was used to purify pig immunoglobulin G from slaughterhouse pig plasma (more than 100 litres), resulting in >85% pure pig IgG (ppIgG). The ppIgG thus comprised natural pig immunoglobulins and was subsequently shown to contain activity towards four pig-relevant bacterial strains (three different types of Escherichia coli and one type of Salmonella enterica) but not towards a fish pathogen (Yersinia ruckeri), and was demonstrated to inhibit the binding of the four pig relevant bacteria to a pig intestinal cell line (IPEC-J2). Finally it was demonstrated in an in vivo weaning piglet model for intestinal colonization with an E. coli F4+ challenge strain that ppIgG given in the feed significantly reduced shedding of the challenge strain, reduced the proportion of the bacterial family Enterobacteriaceae, increased the proportion of families Enterococcoceae and Streptococcaceae and generally increased ileal microbiota diversity. Conclusively, our data support the idea that natural IgG directly purified from pig plasma and given as a feed supplement can be used in modern swine production as an efficient and cost-effective means for reducing both occurrence of PWD and antibiotics usage and with a potential for the prevention and treatment of other intestinal infectious diseases even if the causative agent might not be known.