In this study, computational calculations of 1,2‐dimethyl‐3‐[(5‐methylsulfanyl‐1,3,4‐thiadiazol‐2‐yl)diazenyl]‐1H‐indole have been carried out using the Becke‐3‐Lee–Yang–Parr density functional methods with 6‐311+G(d,p) basis set. The geometry optimization and fundamental frequencies of the most stable configuration have been calculated. The FTIR and FT‐Raman spectra of the compound have been recorded and compared to the calculated frequency values. The total energy distribution of the fundamental modes has been obtained using scaled quantum mechanical program. The 1H NMR chemical shifts have been calculated using the gauge‐independent atomic orbital approach. The theoretical electronic absorption spectra have been calculated using time‐dependent density functional theory. The conductor‐like screening solvation model has been applied to calculate the chemical shifts and maximum absorption wavelength values. The calculated values have been compared with the corresponding experimental results. © 2012 Wiley Periodicals, Inc.

Nurses should explore survivors' fears about cancer and late treatment effects to address misconceptions, use modeling techniques with return demonstrations to ensure competency in BSE, and tailor risk information to each survivor's background (socio-economic status, age, development) and cognitive (disease and treatment knowledge, risks) and affective (fears) characteristics to increase BSE motivation.

Purpose Despite their risk for serious late sequelae, childhood cancer survivors do not adhere to recommended medical screenings. We identified treatment, survivor, physician, and contextual factors that may influence survivors' adherence to recommended echocardiography and bone densitometry screening. Methods Structural equation modeling of data from the Childhood Cancer Survivor Study (CCSS); participants (N=838) were diagnosed and treated for pediatric malignancies between 1970 and 1986 . Results Survivors ( Mean age = 31 years; Mean age @ diagnosis = 10 years; Mean time since diagnosis = 21 years) at risk of cardiac sequelae (N=316) who reported more cancer-related visits (P = 0.01), having discussed heart disease with a physician (P ≤ 0.001), a sedentary lifestyle (P = 0.05), and less frequent health fears (P=0.05) were most likely to follow the recommended echocardiogram schedule (R2 = 23%). Survivors (Mean age=30 years; Mean age @ diagnosis = 9 years; Mean time since diagnosis = 21 years) at risk for osteoporosis (N=324) who reported more cancer-related visits (P = 0.05), were followed up at an oncology clinic (P = 0.01), had discussed osteoporosis with a physician (P ≤ 0.001), and had a lower BMI (P = 0.05) were most likely to adhere to the recommended bone density screening guidelines (R2 = 26%). Symptoms and motivation influenced screening frequency in both models. Conclusions Multiple factors influence survivors' adherence to screening recommendations. It is likely that tailored interventions would be more successful in encouraging recommended screening among childhood cancer survivors than will traditional health education approaches.

Because nurses are the healthcare providers who spend the most time with patients and their families at the end of life, baccalaureate nursing students should be adequately prepared for this role before they graduate. However, many undergraduate nursing programs fail to provide adequate end-of-life content, and many undergraduate nursing students often do not have the opportunity to care for dying patients during clinical rotations. Faculty in an undergraduate community health nursing course incorporated an end-of-life clinical experience using high-fidelity patient simulation to allow students to provide holistic care to a dying patient and his family in a safe learning environment. The simulator was used to play the role of the dying patient, and a course faculty member acted as the patient's daughter. Students were given the role of the hospice nurse. At the end of the experience, students expressed a greater understanding of the pathophysiology at the end of life, as well as enhanced communication skills. Because many nursing students may not encounter an actively dying patient during their clinical rotations, high-fidelity patient simulation is an effective mechanism for providing students with exposure to end of life. KEY WORDSend-of-life care, nursing education, simulation D espite the growth in hospice and palliative care and the publication of undergraduate nursing competencies for providing quality end-of-life (EOL) care, 1 EOL content continues to be inadequate in undergraduate nursing curricula, 1 and both new graduates and qualified nurses report not feeling adequately prepared to deliver EOL care. 2 Nursing programs in the United States typically focus their curricula on acute care interventions in the context of medical-surgical nursing and cover EOL content sparingly, 3 and EOL content is typically limited to lectures that may be scattered throughout various courses. 4 In addition to providing theoretical content related to EOL care, nursing programs should incorporate hands-on experiences that will allow students to recognize their own feelings and expectations about death while demonstrating respect for the patient's and family's views, concerns, and wishes during EOL care. 1

Introduction-The use of rehabilitation services to address musculoskeletal, neurological and cardiovascular late effects among childhood cancer survivors could improve physical function and health-related quality-of-life (HRQL). We describe physical therapy (PT) and chiropractic utilization among childhood cancer survivors and their association with HRQL.