Miracle-dz/UniFAR-FTUs huggingface dataset:
Sharing Economy Disruption and the Quest for New Institutional Legitimacy

The sharing economy, relying on innovative technologies (e.g., mobile networks, online platforms, and cloud-based services), has created new business models (e.g. ride sharing, accommodation sharing, and crowdsourcing), and has threatened to disrupt the traditional industries. However, the process of such disruptions is messy, requiring the contestation between incumbents and new entrants to negotiate a new institutional legitimacy. Our study attempts to understand the dynamic process of new institutional legitimacy formation by surfacing the underlying issues of contestation in a sharing economy disruption. Using textual analysis techniques, we identify the institutional legitimacy issues surrounding Uber, a leading tech start-up in sharing economy, from news articles published between 2009 and 2016. Our exploratory findings suggest these issues broadly correspond to contestations in regulative, normative, and cultural-cognitive legitimacy, with different intensity at different stages of development and in different geographical regions. Implications for research and practice are then discussed.
Structural Features Required for the Interaction of the Hsp70 Molecular Chaperone DnaK with Its Cochaperone DnaJ*

Hsp70 family members together with their Hsp40 cochaperones function as molecular chaperones, using an ATP-controlled cycle of polypeptide binding and release to mediate protein folding. Hsp40 plays a key role in the chaperone reaction by stimulating the ATPase activity and activating the substrate binding of Hsp70. We have explored the interaction between the Escherichia coli Hsp70 family member, DnaK, and its cochaperone partner DnaJ. Our data show that the binding of ATP, subsequent conformational changes in DnaK, and DnaJ-stimulated ATP hydrolysis are all required for the formation of a DnaK-DnaJ complex as monitored by Biacore analysis. In addition, our data imply that the interaction of the J-domain with DnaK depends on the substrate binding state of DnaK.
Organisational Support and Its Influence on Teachers Job Satisfaction and Job Performance in Limpopo Province of South Africa

The importance of organisational support is increasingly being recognized because of its potential positive influence on employee performance. However, studies that seek to investigate the influence of organisational support on the teachers’ job satisfaction and consequently their workplace performance at high school level have largely remained scant, particularly in developing countries of Southern Africa. Therefore, the primary objective of this study is to fill this void. Three research hypotheses are posited and a sample data of 162 collected from the Limpopo Province of South Africa is used to empirically test the hypotheses. The results of this study show that, organisational support positively influences teachers’job satisfaction and their job performance. Managerial implications of the findings are discussed and limitations and future research directions are indicated. DOI: 10.5901/mjss.2014. v5n9p208
Individuals, schools, and neighborhood: a multilevel longitudinal study of variation in incidence of psychotic disorders.

CONTEXT Incidence of schizophrenia and other nonaffective psychoses is greater in urban than rural areas, but the reason is unclear. Few studies have examined whether both individual and neighborhood characteristics can explain this association. Furthermore, as has been shown for ethnicity, the effect of individual characteristics may depend on neighborhood context. OBJECTIVES To examine (1) whether individual, school, or area characteristics are associated with psychosis and can explain the association with urbanicity and (2) whether effects of individual characteristics on risk of psychosis vary according to school context (reflecting both peer group and neighborhood effects). DESIGN Multilevel longitudinal study of all individuals born in Sweden in 1972 and 1977. Diagnoses were identified through linkage with the Swedish National Patient Register until December 31, 2003. SETTING Population-based. PARTICIPANTS A total of 203 829 individuals with data at individual, school, municipality, and county levels. MAIN OUTCOME MEASURES Any nonaffective psychosis, including schizophrenia (881 subjects; 0.43% cumulative incidence). For the study of interactions, the outcome was any psychosis (1944 subjects; 0.95% cumulative incidence). RESULTS Almost all the variance in risk of nonaffective psychosis was explained by individual-level rather than higher-level variation. An association between urbanicity and nonaffective psychosis was explained by higher-level characteristics, primarily school-level social fragmentation. We observed cross-level interactions between individual- and school-level markers of ethnicity, social fragmentation, and deprivation on risk of developing any psychotic disorder, all with qualitative patterns of interaction. CONCLUSIONS The association between urbanicity and psychosis appears to be a reflection of increased social fragmentation present within cities. The qualitative interactions observed are consistent with a hypothesis that certain characteristics that define individuals as being different from most other people in their local environment may increase risk of psychosis. These findings have potentially important implications for understanding the etiology of psychotic disorders and for informing social policy.
Complete Genome Sequence of a Propionibacterium acnes Isolate from a Sarcoidosis Patient

ABSTRACT Propionibacterium acnes is a human skin commensal that resides preferentially within sebaceous follicles and is the only microorganism that has been isolated from sarcoid lesions. We report the complete genome sequence of P. acnes, which was isolated from a Japanese patient with sarcoidosis.
Continuous-Time Input Pipeline ADCs

Two continuous-time input pipeline ADC architectures are introduced. The continuous-time input approach overcomes many of the challenges associated with a pure switched-capacitor architecture. The resistive input load of the two new architectures provides a benign interface to external drive circuitry. The switched-capacitor sampling function is moved to the second stage input which greatly eases the sampling distortion requirements and obviates the need for an explicit front-end sample-and-hold function. The second ADC presented additionally provides inherent anti-alias filtering, allowing the possibility of eliminating costly anti-alias filters. This second architecture also eases the jitter requirements of the ADC clock when compared to switched capacitor pipeline ADCs. Measured results obtained from two proof of concept test chips fabricated in a 0.18 μm CMOS process validate the effectiveness of the proposed techniques.
Phase I pharmacokinetic and pharmacodynamic study of the oral mammalian target of rapamycin inhibitor everolimus in patients with advanced solid tumors.

PURPOSE To identify the optimal regimen and dosage of the oral mammalian target of rapamycin inhibitor everolimus (RAD001). METHODS We performed a dose-escalation study in advanced cancer patients administering oral everolimus 5 to 30 mg/wk, with pharmacokinetic (PK) and pharmacodynamic (PD) studies. PD data prompted investigation of 50 and 70 mg weekly and daily dosing at 5 and 10 mg. RESULTS Ninety-two patients were treated. Dose-limiting toxicity was seen in one patient each at 50 mg/wk (stomatitis and fatigue) and 10 mg/d (hyperglycemia); hence, the maximum-tolerated dose was not reached. S6 kinase 1 activity in peripheral-blood mononuclear cells was inhibited for at least 7 days at doses >or= 20 mg/wk. Area under the curve increased proportional to dose, but maximum serum concentration increased less than proportionally at doses >or= 20 mg/wk. Terminal half-life was 30 hours (range, 26 to 38 hours). Partial responses were observed in four patients, and 12 patients remained progression free for >or= 6 months, including five of 10 patients with renal cell carcinoma. CONCLUSION Everolimus was satisfactorily tolerated at dosages up to 70 mg/wk and 10 mg/d with predictable PK. Antitumor activity and PD in tumors require further clinical investigation. Doses of 20 mg/wk and 5 mg/d are recommended as appropriate starting doses for these studies.
Plasma predilution with addition of depleted plasma in a prothrombin time reagent improves the agreement between different prothrombin time methods

Background. The Quick (plain thromboplastins) and Owren (combined thromboplastins, with the addition of bovine plasma with vitamin K‐dependent factors depleted) prothrombin time (PT) methods are used for measuring prothrombin time; for instance, in monitoring anticoagulation therapy with vitamin K antagonists. In most Quick PT methods, the final plasma dilution is 1/3 compared to Owren methods, which have a final dilution of 1/21. The Quick PT methods are associated with larger inter‐laboratory variations than the Owren PT methods. Objectives. We investigated whether dilution of the sample or thromboplastin has any impact on the correlation between the different PT methods. Material and methods. Plasma samples were analysed undiluted and prediluted in buffer, with adsorbed bovine plasma added, and by using rabbit brain or human placenta thromboplastins. Bootstrapping (re‐sampling) was utilized to estimate the difference in correlations between PT of different reagents at different dilutions of plasma. Results and conclusions. We found the best correlations for combined reagents when the sample was prediluted 7‐fold (r = 0.95) or more, and lowest when the sample was undiluted (r = 0.67). The source of thromboplastin had only a minor impact, if any, on the PT results. It was impossible to test whether predilution of plasma samples improved the correlation between Quick PT methods due to absence of clotting in many samples. We suggest that the Owren‐style sample predilution is preferable for the harmonization of PT results and to overcome the large inter‐laboratory variations that are associated with Quick PT methods to the benefit of patients on oral anticoagulation.
Analyzing the Contribution of Community Change to Population Health Outcomes in an Adolescent Pregnancy Prevention Initiative

Few evaluations of community initiatives have established a link between intermediate outcomes, such as community or systems change, and more distant population-level health outcomes (e.g., estimated rates of employment or adolescent pregnancy). This article describes an analysis of the contribution of community changes facilitated by a community health initiative to prevent adolescent pregnancy to the population-level outcome of birth rates for teens. The authors examine a hypothesis that this link might be expected when community changes are of greater amount, intensity, duration, and exposure. The results showed reductions in birth rates in Target Area A, where there was a greater concentration of community changes and a slight increase where there were far fewer changes. This report provides a method for describing empirically the contribution of environmental change to more distant population-level outcomes.
Traditional governance and African customary law : Comparative observations from a Namibian perspective

The traditional versus the modern, the modern in the traditional, the traditional in the modern: topics high on the agenda of scholars and politicians! Emphasising one’s own (past) culture is widely practiced and part of political discourses at local, national and even international levels. The focus on one’s own culture may serve different purposes. It may be a pretext for covering otherwise unacceptable behaviour or it may be used to legitimise political and societal strategies of identity (re-)construction.
Web-based tailored education program for disease-free cancer survivors with cancer-related fatigue: a randomized controlled trial.

PURPOSE To determine whether an Internet-based tailored education program is effective for disease-free cancer survivors with cancer-related fatigue (CRF). PATIENTS AND METHODS We randomly assigned patients who had completed primary cancer treatment within the past 24 months in any of four Korean hospitals and had reported moderate to severe fatigue for at least 1 week to participate in a 12-week, Internet-based, individually tailored CRF education program or to receive routine care. We based the program on the CRF guidelines of the National Comprehensive Cancer Network (NCCN) and incorporated the transtheoretic model (TTM). At baseline and 12 weeks, we used the Brief Fatigue Inventory (BFI) and Fatigue Severity Scale (FSS) as primary outcomes and the Hospital Anxiety and Depression Scale (HADS) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) for secondary outcomes. RESULTS We recruited 273 participants and randomly assigned 136 to the intervention group. Compared with the control group, the intervention group had an improvement in fatigue as shown by a significantly greater decrease in BFI global score (-0.66 points; 95% CI -1.04 to -0.27) and FSS total score (-0.49; 95% CI, -0.78 to -0.21). In secondary outcomes, the intervention group experienced a significantly greater decrease in HADS anxiety score (-0.90; 95% CI, -1.51 to -0.29) as well as global quality of life (5.22; 95% CI, 0.93 to 9.50) and several functioning scores of the EORTC QLQ-C30. CONCLUSION An Internet-based education program based on NCCN guidelines and TTM may help patients manage CRF.
Convergence rates for Tikhonov regularization based on range inclusions

This paper provides some new a priori choice strategy for regularization parameters in order to obtain convergence rates in Tikhonov regularization for solving ill-posed problems Af0 = g0, f0 ϵ X, g0 ϵ Y, with a linear operator A mapping in Hilbert spaces X and Y. Our choice requires only that the range of the adjoint operator A* includes a member of some variable Hilbert scale and is, in principle, applicable in the case of general f0 without source conditions imposed otherwise in the existing papers. For testing our strategies, we apply them to the determination of a wave source, to the Abel integral equation, to a backward heat equation and to the determination of initial temperature by boundary observation.
Determining Minimum Alveolar Anesthetic Concentration of Halothane in Rats: The Effect of Incremental Change in Halothane Concentration and Number of Crossovers

Computer simulations for the technique of estimating minimum alveolar anesthetic concentration (MAC) in patients (quantal design) suggest that incremental concentration changes and the number of crossovers affect MAC. We hypothesized that these variables may also apply to estimating MAC in rats (bracketing design). This study tested that hypothesis and also examined whether these variables might mask differences in MAC between groups in which MAC might be expected to differ (pregnant [P] versus nonpregnant [NP]). There were 2 cohorts (n = 27 and n = 30 rats). Each cohort included NP females, females in early P, and females in late P. MAC was tested by using an incremental concentration change of 0.20% and one within-subject crossover in the first cohort and by using an increment size of 0.10% and four crossovers in the second cohort. MAC was statistically significantly increased in the three groups in the second cohort (NP, 1.16 ± 0.12; early P, 1.14 ± 0.10; late P, 1.07 ± 0.10; mean ± sd) compared with values in the three comparable groups in the first cohort (NP, 0.95 ± 0.06; early P, 1.01 ± 0.09; late P, 0.93 ± 0.13). Values did not differ among groups within each cohort. Post hoc simulations indicated that up to 36% of the difference between cohorts was due to increment size, with the balance due to experimental factors. Our findings confirmed the hypothesis that increment size affects estimates of MAC when a bracketing design is used.
Adaptive Variable Structure Control of SISO Nonlinear Systems with Time-Varying Delays and Unknown Dead-zone Input

In this paper, adaptive variable structure neural control is investigated for a class of uncertain SISO nonlinear systems in a Brunovsky form with state time-varying delays and unknown dead-zone input. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The approach removes the assumption of linearity function outside the deadband without the need to construct a dead-zone inverse. By utilizing the integral-type Lyapunov function and introducing a continuous function, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded.
Examining the Sexual Harassment Experiences of Mexican Immigrant Farmworking Women

This study examined sexual harassment experiences of Mexican immigrant farmworking women (n = 150) employed on California farms. Of the estimated one million California farmworkers, 78% are Latino, mostly from Mexico, and 28% are women. Unlike gender-segregated worksites of Mexico, women farmworkers in the United States labor alongside men, facilitating harassment from coworkers and supervisors. Simultaneous sexist, racist, and economic discrimination are comparable to converging lanes of automobile traffic (Crenshaw, 2000) that women, standing at the intersections, manage to avoid harm. Findings highlight how discrimination shapes women’s experiences and demonstrate the need for institutional policies to protect them.
Intelligent Dynamic Decision-making Model Using in Robot's Movement

— This work develops a novel intelligent “model of dynamic decision-making” using cell assemblies network architecture in robot ’ s movement . The “model of dynamic decision-making” simulates human decision-making, and follows commands to make the correct decisions. The cell assemblies approach consisting of fLIF neurons was used to implement tasks for finding targets and avoiding obstacles. Experimental results show that the cell assemblies approach of can be employed to efficiently complete finding targets and avoiding obstacles tasks and can simulate the human thinking and the mode of information transactions.
What is an Electricity Price Spike and What is Not? A Review of Spike Identification Techniques

We investigate the effects of outlier treatment on the estimation of the seasonal component and stochastic models in electricity markets. Typically, electricity spot prices exhibit features like seasonality, mean-reverting behavior, high volatility and the occurrence of jumps and spikes. We examine the effects on model estimation for different treatment of extreme observations on determining the number of outliers and the estimation the seasonal pattern after replacement of the outliers. Our findings point out the substantial impact the treatment of extreme observations may have on these issues and therefore, also on the pricing of electricity derivatives like futures and forward contracts.
Advanced automation with zone dividers deployment in distribution networks

The driving forces for increasing automation in all distribution network levels are the need to improve the reliability of the power supply for customers and requirement to improve the operational efficiency of the utilities. In addition, the increased deployment of distributed energy resources makes network operations harder to manage. In this scenario, higher level of distribution automation will provide a useful approach for planning and upgrading of distribution networks.
MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS

Multivariate regression trees (MRT) are a new statistical technique that can be used to explore, describe, and predict relationships between multispecies data and environmental characteristics. MRT forms clusters of sites by repeated splitting of the data, with each split defined by a simple rule based on environmental values. The splits are chosen to minimize the dissimilarity of sites within clusters. The measure of species dissimilarity can be selected by the user, and hence MRT can be used to relate any aspect of species composition to environmental data. The clusters and their dependence on the environmental data are represented graphically by a tree. Each cluster also represents a species assemblage, and its environmental values define its associated habitat. MRT can be used to analyze complex ecological data that may include imbalance, missing values, nonlinear relationships between variables, and high-order interactions. They can also predict species composition at sites for which only environmental data are available. MRT is compared with redundancy analysis and canonical correspondence analysis using simulated data and a field data set.
Estimating evolutionary rates using time-structured data: a general comparison of phylogenetic methods

MOTIVATION In rapidly evolving pathogens, including viruses and some bacteria, genetic change can accumulate over short time-frames. Accordingly, their sampling times can be used to calibrate molecular clocks, allowing estimation of evolutionary rates. Methods for estimating rates from time-structured data vary in how they treat phylogenetic uncertainty and rate variation among lineages. We compiled 81 virus data sets and estimated nucleotide substitution rates using root-to-tip regression, least-squares dating and Bayesian inference. RESULTS Although estimates from these three methods were often congruent, this largely relied on the choice of clock model. In particular, relaxed-clock models tended to produce higher rate estimates than methods that assume constant rates. Discrepancies in rate estimates were also associated with high among-lineage rate variation, and phylogenetic and temporal clustering. These results provide insights into the factors that affect the reliability of rate estimates from time-structured sequence data, emphasizing the importance of clock-model testing. CONTACT sduchene@unimelb.edu. au or garzonsebastian@hotmail.comSupplementary information: Supplementary data are available at Bioinformatics online.
Cyclophosphamide identification in wipe test by GC-MS and solid phase extraction

In this study cyclophosphamide was quantified after adapting a prior analytical method using gas chromatography-mass spectrometry after solid phase purification and derivatization with trifluoroacetic anhydride. The analyte was measured by analysis in wipe test from infusion bags, which may be contaminated by contact with the gloves used during preparation of the drugs. Surface of bag contaminated may be an important source of contamination for workers in the others chemoterapy handling areas, such as administration rooms. This drug, in fact, is one of the most frequently used alkylating antineoplastic agents for different types of tumors and it is furthermore classified as a human carcinogen by IARC. Ifosfamide was used as internal standard and the quantification was carried out by reference to calibration curves within a range from 1 to 100 ng/mL. The limit of detection was 0.4 ng/mL. The values of the variation coefficient varied from 0.5 to 10% (intra-assay) and from 0 to 19% (interassay). Frozen reference wipe samples containing cyclophosphamide were analysed over one month and no significant loss was observed. The range obtained for bias assay was 83-116% and the recovery was 98.9%. Cyclophosphamide was measured in 36 of 42 infusion bags collected from different hospitals with values ranging from 90 to 41874 ng (median= 607.5 ng). The results, well related to those reported in the literature, suggest that this method can be used to identify cyclophosphamide from wipe samples and can be considered useful in exposure assessment to this drug. *Correspondence: