Infrared radiative transfer through a regular array of cuboidal clouds

Infrared radiative transfer through a regular array of cuboidal clouds is studied and the interaction of the sides of the clouds with each other and the ground is considered. The theory is developed for black clouds and is extended to scattering clouds using a variable azimuth two-stream approximation. It is shown that geometrical considerations often dominate over the microphysical aspects of radiative transfer through the clouds. For example, the difference in simulated 10 micron brightness temperature between black isothermal cubic clouds and cubic clouds of optical depth 10, is less than 2 deg for zenith angles less than 50 deg for all cloud fractions when viewed parallel to the array. The results show that serious errors are made in flux and cooling rate computations if broken clouds are modeled as planiform. Radiances computed by the usual practice of area-weighting cloudy and clear sky radiances are in error by 2 to 8 K in brightness temperature for cubic clouds over a wide range of cloud fractions and zenith angles. It is also shown that the lapse rate does not markedly affect the exiting radiances for cuboidal clouds of unit aspect ratio and optical depth 10

Transport of infrared radiation in cuboidal clouds

The transport of infrared radiation in a single cuboidal cloud using a vertical two steam approximation was modeled. The emittance of the top face of the model cloud is always less than that for a plane parallel cloud of the same optical depth. The hemisphere flux escaping from the cloud top has a gradient from the center to the edges which brighten when the cloud is over warmer ground. Cooling rate calculations in the 8 to 13.6 micrometer region show that there is cooling from the sides of the cloud at all levels even when there is heating of the core from the ground below. The radiances exiting from model cuboidal clouds were computed by path integration over the source function obtained with the two stream approximation. It is suggested that the brightness temperature measured from finite clouds will overestimate the cloud top temperature

A systematic review of factors that contribute to nocebo effects.

Objectives: Medication side effects are common, often leading to reduced quality of life, nonadherence, and financial costs for health services. Many side effects are the result of a psychologically mediated “nocebo effect.” This review identifies the risk factors involved in the development of nocebo effects. Method: Web of Science, Scopus, MEDLINE, PsycINFO, Journals@Ovid full text, and Global Health were searched using the terms “nocebo” and “placebo effect.” To be included, studies must have exposed people to an inert substance and have assessed 1 or more baseline or experimental factor(s) on its ability to predict symptom development in response to the inert exposure. Results: Eighty-nine studies were included; 70 used an experimental design and 19 used a prospective design, identifying 14 different categories of risk factor. The strongest predictors of nocebo effects were a higher perceived dose of exposure, explicit suggestions that the exposure triggers arousal or symptoms, observing people experiencing symptoms from the exposure, and higher expectations of symptoms. Conclusions: To reduce nocebo induced symptoms associated with medication or other interventions clinicians could reduce expectations of symptoms, limit suggestions of symptoms, correct unrealistic dose perceptions, and reduce exposure to people experiencing side effects. There is some evidence that we should do this especially for persons with at-risk personality types, though exactly which personality types these are requires further research. These suggestions have a downside in terms of consent and paternalism, but there is scope to develop innovative ways to reduce nocebo effects without withholding information

Resolution enhancement of multichannel microwave imagery from the Nimbus-7 SMMR for maritime rainfall analysis

A restoration of the 37, 21, 18, 10.7, and 6.6 GHz satellite imagery from the scanning multichannel microwave radiometer (SMMR) aboard Nimbus-7 to 22.2 km resolution is attempted using a deconvolution method based upon nonlinear programming. The images are deconvolved with and without the aid of prescribed constraints, which force the processed image to abide by partial a priori knowledge of the high-resolution result. The restored microwave imagery may be utilized to examined the distribution of precipitating liquid water in marine rain systems

Medicine-related beliefs predict attribution of symptoms to a sham medicine : a prospective study

Objectives To investigate a range of possible predictors of nocebo responses to medicines. Design Prospective cohort study. Methods In total, 203 healthy adult volunteers completed measures concerning demographics, psychological factors, medicine‐related beliefs, baseline symptoms, and symptom expectations before taking a sham pill, described as ‘a well‐known tablet available without prescription’ that was known to be associated with several side effects. Associations between these measures and subsequent attribution of symptoms to the tablet were assessed using a hurdle model consisting of a joint logistic and truncated negative binomial regression. Results Men had an increased odds of attributing symptoms to the tablet OR = 1.52, and older participants had decreased odds, OR = 0.97. Medicine‐related beliefs were important, with modern health worries, belief that medicines cause harm and perceived sensitivity to medicines associated with increased odds of symptom attribution, OR = 1.02, 1.10, 1.09, respectively. Trust in medicines and pharmaceutical companies decreased the odds of symptom attribution, OR = 0.91, 0.88, respectively. The number of symptoms at baseline and the expected likelihood of symptoms were associated with an increased odds of attributing symptoms to the tablet, OR = 1.07, 1.06, respectively. Anxiety, previous symptom experience, symptom expectations, and modern health worries were also important in predicting the number of symptoms participants attributed to the tablet. Conclusion It is hard to predict who is at risk of developing nocebo responses to medicines from demographic or personality characteristics. Context‐specific factors such as beliefs about and trust in medicines, current symptoms and symptom expectations are more useful as predictors. More work is needed to investigate this in a patient sample

Explaining all without causing unnecessary harm : is there scope for positively framing medical risk information?

Clinicians in the United Kingdom are now legally obliged to tell patients about every risk involved in prescribed medical treatments. Although important for informed consent, warning patients of risks such as side-effects can increase the incidence of these very side-effects, through the nocebo effect. Positively framing risk information could be a potential solution to this dilemma, and preliminary data has shown it is effective in healthy volunteers receiving a sham drug. Future research is needed to test its effectiveness in a clinical population

Emotional dysfunction in schizophrenia spectrum psychosis: the role of illness perceptions

Background. Assessing illness perceptions has been useful in a range of medical disorders. This study of people with a recent relapse of their psychosis examines the relationship between illness perception, their emotional responses and their attitudes to medication.Method. One hundred patients diagnosed with a non-affective psychotic disorder were assessed within 3 months of relapse. Measures included insight, self-reported. illness perceptions, medication adherence, depression, self-esteem and anxiety.Results. Illness perceptions about psychosis explained 46, 36 and 34% of the variance in depression, anxiety and self-esteem respectively. However, self-reported medication adherence was more strongly associated with a measure of insight.Conclusions. Negative illness perceptions in psychosis are clearly related to depression, anxiety and self-esteem. These in turn have been linked to symptom maintenance and recurrence. Clinical interventions that foster appraisals of recovery rather than of chronicity and severity may therefore improve emotional well-being in people with psychosis. It might be better to address adherence to medication through direct attempts at helping them understand their need for treatment

Can self-report questionnaires create illness cognitions in middle-aged men?

Objective: To examine the effect of questionnaire context on self-reported illness cognition. Design: A single-item measure of the perceived impact of lower urinary tract symptoms (LUTS) was embedded twice in a questionnaire battery completed by community-dwelling middle-aged males (N = 1,790). The impact measure was placed in two distinct questionnaire contexts; at the end of a general somatic symptoms questionnaire, and following an illness-specific symptoms questionnaire. The order of the two questionnaire contexts was counter-balanced in a random sub-sample. Main Outcome Measures: An established single-item measure of the perceived impact of LUTS. Results: Concordance between the two single-item measures was moderate. Scores on a single-item measure of impact were significantly lower when assessed immediately following the completion of a LUTS-specific questionnaire than when assessed following the completion of a general symptoms questionnaire. There was no evidence of order effects. The observed effect was moderated by the severity of LUTS such that the difference in perceived impact scores between contexts (where general symptoms context > illness-specific context) increased as urinary symptoms increased. Conclusion: Questionnaire context systematically influenced responses on self-report measures of illness impact. The magnitude of the context effect was largest in the highest quintile of LUTS severity, a difference of >0.5 on a scale with a range of 3. These findings may have implications for situations where patient reported outcome measures are used to evaluate healthcare interventions or inform treatment decisions