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To develop a theory-based questionnaire to assess readiness for change in small workplaces adopting wellness programs.

In developing our scale, we first tested items via "think-aloud" interviews. We tested the revised items in a cross-sectional quantitative telephone survey.

The study setting comprised small workplaces (20-250 employees) in low-wage industries.

Decision-makers representing small workplaces in King County, Washington (think-aloud interviews, n = 9), and the United States (telephone survey, n = 201) served as study subjects.

We generated items for each construct in Weiner's theory of organizational readiness for change. We also measured workplace characteristics and current implementation of workplace wellness programs.

We assessed reliability by coefficient alpha for each of the readiness questionnaire subscales. We tested the association of all subscales with employers' current implementation of wellness policies, programs, and communications, and conducted a path analysis to test the associations in the theory of organizational readiness to change.

Each of the readiness subscales exhibited acceptable internal reliability (coefficient alpha range, .75-.88) and was positively associated with wellness program implementation ( p < .05). The path analysis was consistent with the theory of organizational readiness to change, except change efficacy did not predict change-related effort.

We developed a new questionnaire to assess small workplaces' readiness to adopt and implement evidence-based wellness programs. Our findings also provide empirical validation of Weiner's theory of readiness for change.

We developed a new questionnaire to assess small workplaces' readiness to adopt and implement evidence-based wellness programs. Our findings also provide empirical validation of Weiner's theory of readiness for change.Wettability is a widely used method to estimate the surface (free) energies of solids. The measured contact angles are usually processed within the framework of Fowkes and Good that uses a geometric mean combining rule of interfacial interactions. Recently, this method of calculating the interfacial tension has been questioned as it appears to yield somewhat unphysical results of interfacial energetics in certain situations. We would like to demonstrate that these unphysical results are consequences of the neglect of the preferential enrichment or depletion of the most surface-active functionalities of a molecule composed of various chemical groups at the liquid-air, liquid-liquid, and liquid-solid interfaces that the quintessential Fowkes-Good analysis does not account for. When the base state of the surface energy is estimated using Lifshitz theory and the preferential segregation of the functional groups at the interface is taken into account, the difficulty associated with the Fowkes-Good approach seems to disappear. This, however, raises new challenges and opportunities related to the estimation of surface energetics based on wettability.Silicon micropyramids with n(+) pp(+) junctions are demonstrated to be efficient absorbers for integrated solar-driven hydrogen production systems enabling significant improvements in both photocurrent and onset potential. When conformally coated with MoSx Cly , a catalyst that has excellent catalytic activity and high optical transparency, the highest photocurrent density for Si-based photocathodes with earth-abundant catalysts is achieved.In this work, we clearly demonstrate for the first time the use of a p-type semiconductor, Cu2O, as the core unit of a photocathode to set up a new photocathodic analysis platform. With the help of a facile protection strategy, the Cu2O photocathode presented efficient photoelectrochemical performance for H2O2 sensing with a detection limit of 0.15 μM, which allowed the new photocathodic analysis platform to detect H2O2 released from living tumorigenic cells, thus demonstrating its potential application as a sensitive cancer detection probe. selleck kinase inhibitor The protected TiO2 layer was coated on Cu2O to form a quasi-core/shell structure (TiO2@Cu2O) through a facile sol-gel method, which significantly enhanced the photostability, comparable to the TiO2@Cu2O samples prepared by a complicated atomic layer deposition method. In this new photocathodic analysis platform, the semiconductive metal oxides accomplish a job usually completed by conductive noble metals in an electroanalysis process. We believe that this photocathodic detection strategy opens up a new detection approach, extends the application range of semiconductor materials, and thus sheds light on the further fusing of photoelectrochemical technique with analytical methods.In this Letter, we varied targeting ligand density of an EGFR binding affibody on the surface of two different hydrogel PRINT nanoparticles (80 nm × 320 and 55 nm × 60 nm) and monitored effects on target-cell association, off-target phagocytic uptake, biodistribution, and tumor accumulation. Interestingly, variations in ligand density only significantly altered in vitro internalization rates for the 80 nm × 320 nm particle. However, in vivo, both particle sizes experienced significant changes in biodistribution and pharmacokinetics as a function of ligand density. Overall, nanoparticle size and passive accumulation were the dominant factors eliciting tumor sequestration.Here, we present a summary of our recent findings on the (patho-)physiological relevance of PINK1-phosphorylated ubiquitin (p-S65-Ub). Using novel polyclonal antibodies, we find that p-S65-Ub specifically accumulates on damaged mitochondria. Phosphorylation of ubiquitin on serine 65 depends on the activity of PINK1 and the signal is vastly amplified by the activity of the E3 ubiquitin ligase PARK2/Parkin in a feed-forward loop. The induction of p-S65-Ub in primary cells suggests a significant role of p-S65-Ub also in neurons. Consistent with a marker for damaged mitochondria that are undergoing mitophagy, we find anti-p-S65-Ub immunoreactive granules that partially colocalize with mitochondria, lysosomes and ubiquitin in human post-mortem brain. The number of p-S65-Ub positive granules increases with age and with PD, highlighting the relevance of p-S65-Ub as a potential biomarker and therapeutic target.

The identification of responders is an important issue in chemotherapy for metastatic colorectal cancer (mCRC). 'Deepness of response' (DpR), defined as the maximum rate of reduction from the initial tumor burden, was recently proposed as a novel hypothetical parameter associated with overall survival (OS) in first-line chemotherapy plus cetuximab for mCRC. We determined whether this concept was universally applicable to diverse standard chemotherapeutic regimens for mCRC.

We reviewed mCRC patients who received the first-line systemic chemotherapy regimens FOLFOX, CapeOX or FOLFIRI (with biologics) at our department between June 2005 and March 2015. Data such as clinicopathological parameters, metastasized organs, chemotherapeutic regimens, the best response by RECIST v1.1, progression-free survival (PFS) and OS were retrospectively retrieved for patients who exhibited tumor shrinkage. DpR was calculated as the uni-dimensional maximum reduction rate of measurable tumors. We addressed the association between DpR and survival.

Of the 156 patients receiving first-line chemotherapy regimens, tumor shrinkage was observed in 63 (41 of whom were men; median age 62 years). Complete remission was achieved in 6 patients, partial remission in 42 and stable disease in 15. The median DpR was 44.2% and was employed as the cutoff, in line with previous reports. DpR ≥45% (31 patients) was correlated with longer PFS (median 16.4 vs. 8.1 months for DpR <45%, p = 0.006) and OS (median 58.6 vs. 30.9 months for DpR <45%, p = 0.041). There was basically no difference in the subsequent chemotherapy between the DpR ≥45% and DpR <45% groups.

DpR correlated with OS in various first-line systemic upfront chemotherapy regimens for mCRC.

DpR correlated with OS in various first-line systemic upfront chemotherapy regimens for mCRC.The idea that aging is a purposeful, programmed series of events is intuitively appealing based on its many conserved aspects and the demonstrated feasibility of modifying life span by manipulating single genes or pathways. Yet, the case for a nonadaptive basis of aging is strong and now all but generally accepted in the field. Here, we briefly review why the case for programmed aging is weak, with a focus on the lack of possible evolutionary beneficial effects.Continuum solvent models have been widely used in biomolecular modeling applications. Recently much attention has been given to inclusion of implicit membranes into existing continuum Poisson-Boltzmann solvent models to extend their applications to membrane systems. Inclusion of an implicit membrane complicates numerical solutions of the underlining Poisson-Boltzmann equation due to the dielectric inhomogeneity on the boundary surfaces of a computation grid. This can be alleviated by the use of the periodic boundary condition, a common practice in electrostatic computations in particle simulations. The conjugate gradient and successive over-relaxation methods are relatively straightforward to be adapted to periodic calculations, but their convergence rates are quite low, limiting their applications to free energy simulations that require a large number of conformations to be processed. To accelerate convergence, the Incomplete Cholesky preconditioning and the geometric multigrid methods have been extended to incorporate periodicity for biomolecular applications. Impressive convergence behaviors were found as in the previous applications of these numerical methods to tested biomolecules and MMPBSA calculations.A theoretical study is presented of the template-assisted formation of crystalline superstructures of magnetic-dielectric core-shell particles. The templates produce highly localized gradient fields and a corresponding magnetic force that guides the assembly with nanoscale precision in particle placement. The process is studied using two distinct and complementary computational models that predict the dynamics and energy of the particles, respectively. Both mono- and polydisperse colloids are studied, and the analysis demonstrates for the first time that although the particles self-assemble into ordered crystalline superstructures, the particle formation is not unique. There is a Brownian motion-induced degeneracy in the process wherein various distinct, energetically comparable crystalline structures can form for a given template geometry. The models predict the formation of hexagonal close packed (HCP) and face centered cubic (FCC) structures as well as mixed phase structures due to in-plane stacking disord potential fundamental limitations of realizing structure-dependent material properties for applications.Glioma grading and classification, today based on histological features, is not always easy to interpret and diagnosis partly relies on the personal experience of the neuropathologists. The most important feature of the classification is the aimed correlation between tumor grade and prognosis. However, in the clinical reality, large variations exist in the survival of patients concerning both glioblastomas and low-grade gliomas. Thus, there is a need for biomarkers for a more reliable classification of glioma tumors as well as for prognosis. link2 We analyzed relative metabolite concentrations in serum samples from 96 fasting glioma patients and 81 corresponding tumor samples with different diagnosis (glioblastoma, oligodendroglioma) and grade (World Health Organization (WHO) grade II, III and IV) using gas chromatography-time of flight mass spectrometry (GC-TOFMS). link3 The acquired data was analyzed and evaluated by pattern recognition based on chemometric bioinformatics tools. We detected feature patterns in the metabolomics data in both tumor and serum that distinguished glioblastomas from oligodendrogliomas (p(tumor) = 2.