Mathematical Analysis of a Geothermal System

The issue being examined is to design a more economical and efficient therefore superior geothermal system than currently in use in industry. Current geothermal systems are designed and built 300 feet into the ground. After researching ground temperature gradients for Ohio we found out that below 10 feet of depth, the temperature varies by 1 degree Fahrenheit per 100 feet depth. Our goal is to utilize the heat as close to the surface as possible and greatly reduce the need to dig so deeply into the ground. The procedure used to go about designing a superior geothermal system is to model an oversized tank going down about 50 feet in depth. Then analyze the model using ground temperature gradient data and the SINDATHERMAL Analyzer program. By investigating different glycol flow rates, glycol supply temperatures, and tank dimensions we are able to investigate various designs and analyze the results for optimization. Our results were such that by using our central tank design we were able to design a Geothermal system superior in terms of performance, construction costs, and operating costs to what is in use in industry today. Our conclusion is that there is no need to drill down 300 feet using traditional Geothermal designs when, by using our design, drilling down 50 feet and using a central tank will result in superior heat flo

Mathematical Analysis of a Geothermal System

The issue being examined is to design a more economical and efficient therefore superior geothermal system than currently in use in industry. Current geothermal systems are designed and built 300 feet into the ground. After researching ground temperature gradients for Ohio we found out that below 10 feet of depth, the temperature varies by 1 degree Fahrenheit per 100 feet depth. Our goal is to utilize the heat as close to the surface as possible and greatly reduce the need to dig so deeply into the ground. The procedure used to go about designing a superior geothermal system is to model an oversized tank going down about 50 feet in depth. Then analyze the model using ground temperature gradient data and the SINDATHERMAL Analyzer program. By investigating different glycol flow rates, glycol supply temperatures, and tank dimensions we are able to investigate various designs and analyze the results for optimization. Our results were such that by using our central tank design we were able to design a Geothermal system superior in terms of performance, construction costs, and operating costs to what is in use in industry today. Our conclusion is that there is no need to drill down 300 feet using traditional Geothermal designs when, by using our design, drilling down 50 feet and using a central tank will result in superior heat flo

Mathematical Analysis of a Geothermal System

The issue being examined is to design a more economical and efficient therefore superior geothermal system than currently in use in industry. Current geothermal systems are designed and built 300 feet into the ground. After researching ground temperature gradients for Ohio we found out that below 10 feet of depth, the temperature varies by 1 degree Fahrenheit per 100 feet depth. Our goal is to utilize the heat as close to the surface as possible and greatly reduce the need to dig so deeply into the ground. The procedure used to go about designing a superior geothermal system is to model an oversized tank going down about 50 feet in depth. Then analyze the model using ground temperature gradient data and the SINDATHERMAL Analyzer program. By investigating different glycol flow rates, glycol supply temperatures, and tank dimensions we are able to investigate various designs and analyze the results for optimization. Our results were such that by using our central tank design we were able to design a Geothermal system superior in terms of performance, construction costs, and operating costs to what is in use in industry today. Our conclusion is that there is no need to drill down 300 feet using traditional Geothermal designs when, by using our design, drilling down 50 feet and using a central tank will result in superior heat flo

Mechanisms of change during group metacognitive therapy for repetitive negative thinking in primary and non-primary generalized anxiety disorder

© 2015 Elsevier Ltd. Repetitive negative thinking (RNT) is a transdiagnostic process that serves to maintain emotional disorders. Metacognitive theory suggests that positive and negative metacognitive beliefs guide the selection of RNT as a coping strategy which, in turn, increases psychological distress. The aim of this study was to test the indirect effect of metacognitive beliefs on psychological distress via RNT. Patients (N=52) with primary and non-primary generalized anxiety disorder attended a brief, six-week group metacognitive therapy program and completed measures of metacognitive beliefs, RNT, and symptoms at the first and final treatment sessions, and at a one-month follow-up. Prospective indirect effects models found that negative metacognitive beliefs (but not positive metacognitive beliefs) had a significant indirect effect on psychological distress via RNT. As predicted by metacognitive theory, targeting negative metacognitions in treatment appears to reduce RNT and, in turn, emotional distress. Further research using alternative measures at multiple time points during therapy is required to determine whether the absence of a relationship with positive metacognitive beliefs in this study was a consequence of (a) psychometric issues, (b) these beliefs only being relevant to a subgroup of patients, or (c) a lack of awareness early in treatment

Therapeutic alliance in Enhanced Cognitive Behavioural Therapy for bulimia nervosa: Probably necessary but definitely insufficient

The present paper assessed therapeutic alliance over the course of Enhanced Cognitive Behavioural Therapy (CBT-E) in a community-based sample of 112 patients with a diagnosis of bulimia nervosa (BN) or atypical BN. Temporal assessment of alliance was conducted at three time points (the start, middle and end of treatment) and the relationship between alliance and treatment retention and outcome was explored. Results indicated that the alliance between patient and therapist was strong at all stages of CBT-E, and even improved in the early stages of treatment when behaviour change was initiated (weekly in-session weighing, establishing regular eating, and ceasing binge-eating and compensatory behaviours).The present study found no evidence that alliance was related to treatment retention or outcomes, or that symptom severity or problematic interpersonal styles interacted with alliance to influence outcomes. Alliance was also unrelated to baseline emotional or interpersonal difficulties. The study provides no evidence that alliance has clinical utility for the prediction of treatment retention or outcome in CBT-Efor BN, even for individuals with severe symptoms or problematic interpersonal styles. Early symptom change was the best predictor of outcome in CBT-E. Further research is needed to determine whether these results are generalizable to patients with anorexia nervosa

Single-molecule super-resolution imaging of chromosomes and in situ haplotype visualization using Oligopaint FISH probes

Fluorescence in situ hybridization (FISH) is a powerful single-cell technique for studying nuclear structure and organization. Here we report two advances in FISH-based imaging. We first describe the in situ visualization of single-copy regions of the genome using two single-molecule super-resolution methodologies. We then introduce a robust and reliable system that harnesses single-nucleotide polymorphisms (SNPs) to visually distinguish the maternal and paternal homologous chromosomes in mammalian and insect systems. Both of these new technologies are enabled by renewable, bioinformatically designed, oligonucleotide-based Oligopaint probes, which we augment with a strategy that uses secondary oligonucleotides (oligos) to produce and enhance fluorescent signals. These advances should substantially expand the capability to query parent-of-origin-specific chromosome positioning and gene expression on a cell-by-cell basis

Group metacognitive therapy for repetitive negative thinking in primary and non-primary generalized anxiety disorder: An effectiveness trial

Background Generalized anxiety disorder (GAD) is a common and highly comorbid anxiety disorder characterized by repetitive negative thinking (RNT). Treatment trials tend to exclude individuals with non-primary GAD, despite this being a common presentation in real world clinics. RNT is also associated with multiple emotional disorders, suggesting that it should be targeted regardless of the primary disorder. This study evaluated the acceptability and effectiveness of brief group metacognitive therapy (MCT) for primary or non-primary GAD within a community clinic. Methods Patients referred to a specialist community clinic attended six, two-hour weekly sessions plus a one-month follow-up (N=52). Measures of metacognitive beliefs, RNT, symptoms, positive and negative affect, and quality of life were completed at the first, last, and follow-up sessions. Results Attrition was low and large intent-to-treat effects were observed on most outcomes, particularly for negative metacognitive beliefs and RNT. Treatment gains increased further to follow-up. Benchmarking comparisons demonstrated that outcomes compared favorably to longer disorder-specific protocols for primary GAD. Limitations No control group or independent assessment of protocol adherence. Conclusions Brief metacognitive therapy is an acceptable and powerful treatment for patients with primary or non-primary GAD

Ageism: Does it Exist Among Children?

Ageism is stereotyping and prejudice against individuals or groups because of their age. Robert Butler first used it in 1969, to express a systematic stereotyping and discrimination against elderly people. Available data appears to confirm that attitudes of children to the old age differ from that of adults. The study population consisted of 162 subjects (56 school children, 48 nurses and 58 elderly patients). Each subject in the survey was asked to respond to the following three questions: Question #1: “Is the old age unattractive ?”; Question #2: “How old is an old man? Question #3: “What should you do to have a long life (what is good for longevity)? The majority of polled children (33) gave positive statements about ageing in their responses to the first item, while most of the nurses gave condition answers, like: “It is not unattractive if you are healthy”. Elderly subjects made up a group with the majority of negative responses (in percentage), as only 33% of them answered that old age is not unattractive. All three groups of subjects demonstrated a good knowledge of what is considered good for longevity, and had a generally positive health attitude. Our results indicate that majority of children have positive perception and attitude about old age, which leads us to conclusion that ageism is adopted later in life

Health-related quality of life in elderly patients hospitalized with chronic heart failure

Background: Chronic heart failure is a very common condition in the elderly, characterized not only by high mortality rates, but also by a strong impact on health-related quality of life (HRQOL). Previous studies of HRQOL in elderly heart failure subjects have included mostly outpatients, and little is known about determinants of HRQOL in hospitalized elderly population, especially in Serbia. In this study, we tried to identify factors that influence HRQOL in elderly patients hospitalized with chronic heart failure in Serbia. Methods: The study population consisted of 136 patients aged 65 years or older hospitalized for chronic heart failure. HRQOL was assessed using the Minnesota Living with Heart Failure questionnaire. Predictors of HRQOL were identified by multiple linear regression analysis. Results: Univariate analysis showed that patients with lower income, a longer history of chronic heart failure, and longer length of hospital stay, as well as those receiving aldosterone antagonists and digoxin, taking multiple medications, in a higher NYHA class, and showing signs of depression and cognitive impairment had significantly worse HRQOL. Presence of depressive symptoms (P lt 0.001), higher NYHA class (P=0.021), lower income (P=0.029), and longer duration of heart failure (P=0.049) were independent predictors of poor HRQOL. Conclusion: Depressive symptoms, higher NYHA class, lower income, and longer duration of chronic heart failure are independent predictors of poor HRQOL in elderly patients hospitalized with chronic heart failure in Serbia. Further, there is an association between multiple medication usage and poor HRQOL, as well as a negative impact of cognitive impairment on HRQOL. Hence, measures should be implemented to identify such patients, especially those with depressive symptoms, and appropriate interventions undertaken in order to improve their HRQOL

Health-related quality of life in elderly patients hospitalized with chronic heart failure

Background: Chronic heart failure is a very common condition in the elderly, characterized not only by high mortality rates, but also by a strong impact on health-related quality of life (HRQOL). Previous studies of HRQOL in elderly heart failure subjects have included mostly outpatients, and little is known about determinants of HRQOL in hospitalized elderly population, especially in Serbia. In this study, we tried to identify factors that influence HRQOL in elderly patients hospitalized with chronic heart failure in Serbia. Methods: The study population consisted of 136 patients aged 65 years or older hospitalized for chronic heart failure. HRQOL was assessed using the Minnesota Living with Heart Failure questionnaire. Predictors of HRQOL were identified by multiple linear regression analysis. Results: Univariate analysis showed that patients with lower income, a longer history of chronic heart failure, and longer length of hospital stay, as well as those receiving aldosterone antagonists and digoxin, taking multiple medications, in a higher NYHA class, and showing signs of depression and cognitive impairment had significantly worse HRQOL. Presence of depressive symptoms (P<0.001), higher NYHA class (P=0.021), lower income (P=0.029), and longer duration of heart failure (P=0.049) were independent predictors of poor HRQOL. Conclusion: Depressive symptoms, higher NYHA class, lower income, and longer duration of chronic heart failure are independent predictors of poor HRQOL in elderly patients hospitalized with chronic heart failure in Serbia. Further, there is an association between multiple medication usage and poor HRQOL, as well as a negative impact of cognitive impairment on HRQOL. Hence, measures should be implemented to identify such patients, especially those with depressive symptoms, and appropriate interventions undertaken in order to improve their HRQOL.publishedVersio