Williamlanghoff1454

PURPOSE Return to work (RTW) is important for employees who have survived cancer, yet it is challenging for employers. Small enterprises ( less then  100 employees) might have limited resources to facilitate RTW of cancer survivors. The purpose of this article is to examine how such employers engage in the support of RTW and to uncover their needs. METHODS Eleven owners and one HR manager representing 12 small enterprises (various sectors) were interviewed regarding their experience with RTW of employees surviving cancer. Furosemide We conducted a thematic analysis with aspects of Grounded Theory. RESULTS The characteristics of being a small enterprise (i.e. informal practical arrangements, working as a family, working with limited resources and people) related to four concerns experienced by these employers (concerns about the employer's enterprise; the employee's cancer and recovery; RTW and work adjustments; and about communication). In line with these concerns, employers need information on rights and obligations, RTW arrangements and communication skills during RTW guidance. CONCLUSIONS In small enterprises, employers have generally close relationships with their employees, which means that support is gladly provided when employees are diagnosed with cancer. They do however have limited financial means to facilitate RTW and workplace adjustments. They therefore perceive long-term sickness and RTW as a major financial risk for the company.Smokers report weight and appetite control as motivators to smoking continuance. These concerns are particularly salient for smokers who use cigarettes to suppress appetite and manage weight. Dieting may influence weight, shape, and appetite-related smoking motivation; however, this has not yet been examined. This study tested associations between five diet types and smoking motivation to control weight, shape, and appetite among adult daily cigarette smokers (N = 550). A multivariate analysis was used to test the incremental association between diet types and Smoking-Related Weight and Eating Episodes Test (SWEET) subscales, adjusting for age, body mass index, sex, and cigarette dependence. Smokers who diet (n = 83, 15.1%) reported higher scores on all SWEET subscales compared to smokers not on a diet. Low-calorie dieting was associated with greater smoking motivation to cope with body dissatisfaction, and low-sugar dieting was associated with greater motivation for smoking to prevent withdrawal-related appetite increases. Treatment implications for smoking cessation are discussed.This study examined physical discomfort intolerance (DI) as a baseline predictor of weight loss and physical activity outcomes, and assessed whether changes in DI during the initial phase of weight loss prospectively predicted long-term treatment outcomes among adults enrolled in a group-based lifestyle modification program for obesity. DI was measured at baseline and 6 months, and weight and accelerometer-measured physical activity were assessed at baseline, 6 months, and 12 months. Baseline DI was not related to weight loss or physical activity at either timepoint. Change in DI during the first 6 months of treatment was not related to concurrent (i.e., 6-month) weight loss and physical activity, but was significantly predictive of weight loss and physical activity at 12 months. Assessing early changes in DI may help to identify individuals at risk for suboptimal outcomes. Future research should evaluate behavioral weight loss interventions designed to target DI.PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three prominent European paediatric oncology units. The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning and multiscale algorithms. The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers, tumour growth simulation, advanced visualisation of confidence scores, and machine-learning approaches. The decision support prototype will be constructed and validated on two paediatric cancers neuroblastoma and diffuse intrinsic pontine glioma. External validation will be performed on data recruited from independent collaborative centres. Final results will be available for the scientific community at the end of the project, and ready for translation to other malignant solid tumours.The mechanism of C-H bond activation of ethane was catalyzed by palladium halide cations (PdX+ (X = F, Cl, Br, H, and CH3)), which was investigated using density functional theory (DFT) at B3LYP level. The reaction mechanism was taken into account in triplet and singlet spin state potential energy surfaces. For PdF+, PdCl+, and PdBr+, the high spin states were the ground states, whereas the ground states were the low spin states in PdH+ and PdCH3+. The reaction of PdF+, PdCl+, and PdBr+ with ethane occurred via a typical "two-state reactivity" mechanism. In contrast, for PdH+ and PdCH3+, the overall reaction performed on the ground state PESs in a spin-conserving manner. The crossing points between two potential energy surfaces were observed and effectively decreased the activation barrier in PdX+/C2H6 (X = F, Cl, and Br). The minimum energy crossing points (MECP) were obtained used the algorithm in Harvey method. The natural valence electron configuration calculations were analyzed by natural bond orbital. The distribution and contribution of the front molecular orbital of the initial complexes could be further understand by the density of states. The feature of the bonding evolution in the main pathways was studied using topological analysis including localized orbital locator and atoms in molecules.