scholarly journals A REVIEW OF MODELLING APPROACHES ON TIDAL ANALYSIS AND PREDICTION

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 23-34
Author(s):  
A. G. Abubakar ◽  
M. R. Mahmud ◽  
K. K. W. Tang ◽  
A. Hussaini ◽  
N. H. Md Yusuf
Keyword(s):  
Harmonic Analysis ◽  
Least Squares Method ◽  
Weather Conditions ◽  
Mathematical Concepts ◽  
Tidal Analysis ◽  
Holistic Understanding ◽  
Coastal Water Level ◽  
Prediction Techniques ◽  
Future Work

Abstract. Tide height depends on both long-term astronomical effects that are principally affected by the moon and sun and short-term meteorological effects caused by severe weather conditions which are very important tasks for human activities, safe marine navigation in shallow areas, oceans and coastal engineering work. Conventional tidal forecasting techniques are based on harmonic analysis, which is a superposition of many sinusoidal constituents with three parameters amplitudes, Phase and frequencies using the least squares method to determine the harmonic parameters. However, harmonic analysis required a large number of parameters and long-term tidal measured for precise tidal level predictions. Furthermore, what seems to stand out by the other researchers on traditional harmonic methods, was its limitation when short data are involved and rely on based on the analysis of astronomical components and they can be insufficient when the influence of non-astronomical components such as the weather, is important. Therefore, conventional harmonic analysis alone does not adequately predict the coastal water level variation, in order to deal with these situations and provide predictions with the desired accuracy, with respect to the length of the available tidal record, an alternative approach has been developed by various tidalist. In this study the state - of - art for tidal analysis and prediction techniques that have proven to be successful in a variety of circumstances have been reviewed in a systematic and consistent way for holistic understanding with a view to provide a reference for future work, showing their main mathematical concepts, model capabilities for tidal analysis and prediction with their limitations.

The effects of long-term vigorous endurance exercise on the coronary arteries

2019 ◽  
Vol 67 (2) ◽  
Keyword(s):  
Endurance Training ◽  
Coronary Atherosclerosis ◽  
Calcium Score ◽  
The Other ◽  
Disease Phenotype ◽  
Male Athletes ◽  
Artery Disease ◽  
Future Work ◽  
Summary Data

Moderate endurance training is known to improve cardiovascular risk factors, and prolongs life expectancy. On the other hand, there has been some discussion whether “too much” exercise might have a contrarious effect by accelerating coronary atherosclerosis. The goal of this review was to evaluate the current literature on the effects of long-term vigorous endurance training on the coronary vasculature. In summary, data point to an increased calcium score, and a higher burden of atherosclerotic plaque in male athletes compared to sedentary controls. However, the plaques found in athletes were more prone to be calcified. The pathogenesis and clinical relevance of this athlete coronary artery disease phenotype remains incompletely understood and represents an area of important future work.

The effects of long-term vigorous endurance exercise on the coronary arteries

2019 ◽  
Vol 67 (2) ◽  
Keyword(s):  
Endurance Training ◽  
Coronary Atherosclerosis ◽  
Calcium Score ◽  
The Other ◽  
Disease Phenotype ◽  
Male Athletes ◽  
Artery Disease ◽  
Future Work ◽  
Summary Data

Moderate endurance training is known to improve cardiovascular risk factors, and prolongs life expectancy. On the other hand, there has been some discussion whether “too much” exercise might have a contrarious effect by accelerating coronary atherosclerosis. The goal of this review was to evaluate the current literature on the effects of long-term vigorous endurance training on the coronary vasculature. In summary, data point to an increased calcium score, and a higher burden of atherosclerotic plaque in male athletes compared to sedentary controls. However, the plaques found in athletes were more prone to be calcified. The pathogenesis and clinical relevance of this athlete coronary artery disease phenotype remains incompletely understood and represents an area of important future work.

Positive Emotion in Generalized Anxiety Disorder

2019 ◽  
pp. 297-311
Author(s):  
Ilana Seager ◽  
Douglas S. Mennin ◽  
Amelia Aldao
Keyword(s):  
Anxiety Disorder ◽  
Positive Affect ◽  
Generalized Anxiety Disorder ◽  
Positive Emotion ◽  
Behavioral Therapy ◽  
Generalized Anxiety ◽  
Emotional Dysfunction ◽  
Wide Range ◽  
Future Work

Generalized anxiety disorder (GAD) is a debilitating condition characterized by excessive, pervasive, uncontrollable, and paralyzing worries about a wide range of future situations. Individuals with this condition frequently find themselves stuck in worry and tension cycles in futile attempts at reducing uncertainty and increasing control. GAD has been associated with substantial impairments in functioning and reduced quality of life. GAD remains poorly understood, and the long-term efficacy and end-state functioning resulting from treatment are weaker compared to other anxiety disorders. Some treatments (e.g., emotion regulation therapy, acceptance-based behavioral therapy) have improved efficacy, partly by targeting emotional dysfunction. Basic psychopathology research has focused on identifying the role of negative affect in GAD, so little is known about how positive affect is experienced and regulated in this disorder. This is particularly important in light of the overlap of this condition with major depressive disorder, which is characterized by low or suppressed positive emotion. Developing such an understanding is essential to further improve the efficacy of emotion-based treatments. This chapter reviews current and future directions in the study of positive affect in GAD. The chapter reviews the nascent research on positive affect and GAD, then illustrates dimensions of future work.

Intergenerational Earnings Mobility in Italy

2007 ◽  
Vol 7 (2) ◽  
Author(s):  
Sauro Mocetti
Keyword(s):  
Labor Market ◽  
Least Squares ◽  
Household Income ◽  
Intergenerational Mobility ◽  
Least Squares Method ◽  
Developed Countries ◽  
Data Set ◽  
Labor Market Success ◽  
Term Labor

Abstract This paper contributes to the growing number of studies on intergenerational mobility by providing a measure of earnings elasticity for Italy. The absence of an appropriate data set is overcome by adopting the two-sample two-stage least squares method. The analysis, based on the Survey of Household Income and Wealth, shows that intergenerational mobility is lower in Italy than it is in other developed countries. We also examine the reasons why the long-term labor market success of children is related to that of their fathers.

A Retrospective Comparison of American Women’s Spontaneous Conceptions and Gestational Surrogate Pregnancies

2021 ◽  
Author(s):  
Jennifer Lahl ◽  
Kallie Fell ◽  
Kate Bassett ◽  
Frances Broghammer ◽  
Maggie Eastman ◽  
...  
Keyword(s):  
Ethical Issues ◽  
Demographic Data ◽  
Health Issues ◽  
Structured Interviews ◽  
Survey Tool ◽  
Level Data ◽  
Retrospective Comparison ◽  
Caucasian Women ◽  
Future Work

Abstract Purpose: To evaluate the retrospective pregnancy experiences of American women by comparing spontaneous pregnancies with gestational surrogate pregnancies. Methods: Data were collected via structured interviews following an approved survey tool utilizing an online video platform. In total, 97 interviews were conducted. Results: Demographic data was collected on age, ethnicity, primary language, country of birth, education, and income level. Data revealed that a woman was more likely to have a pregnancy that was high-risk during a surrogate pregnancy than a non-surrogate pregnancy, independent of maternal age or gravidity (OR 7.22, p<0.001). A surrogate pregnancy had 4 times higher odds of resulting in a c-section (p<0.001) as well as delivering at an earlier gestational age (p<0.001). Further, women were more likely to experience adverse effects, including postpartum depression, following delivery of a surrogate child than their own biological child (p<0.001). Finally, the rate of new post-surrogacy chronic health issues for non-Caucasian women was significantly higher than for Caucasians (p<0.001). Women reported using the payment they received for their surrogacy for basic needs. Almost half of the women reported using the money to pay bills or get out of debt.Conclusions: These results are among the first of their kind. This study reveals that surrogate health disparities exist and that there may be long-term complications after a surrogate pregnancy. This raises important social, economic, and ethical issues related to surrogacy which must be further explored. Future work will build on this study and help elucidate the circumstances and consequences surrounding this complex issue.

Radiation protection perspective to recurrent medical imaging: what is known and what more is needed?

2021 ◽  
pp. 20210477
Author(s):  
Jenia Vassileva ◽  
Ola Holmberg
Keyword(s):  
Radiation Protection ◽  
Current Knowledge ◽  
Clinical History ◽  
Patient Specific ◽  
Individual Radiosensitivity ◽  
Dose Saving ◽  
End Stage ◽  
Future Work ◽  
Standardised Patient

This review summarises the current knowledge about recurrent radiological imaging and associated cumulative doses to patients. The recent conservative estimates are for around 0.9 million patients globally who cumulate radiation doses above 100 mSv, where evidence exists for cancer risk elevation. Around one in five is estimated to be under the age of 50. Recurrent imaging is used for managing various health conditions and chronic diseases such as malignancies, trauma, end-stage kidney disease, cardiovascular diseases, Crohn’s disease, urolithiasis, cystic pulmonary disease. More studies are needed from different parts of the world to understand the magnitude and appropriateness. The analysis identified areas of future work to improve radiation protection of individuals who are submitted to frequent imaging. These include access to dose saving imaging technologies; improved imaging strategies and appropriateness process; specific optimisation tailored to the clinical condition and patient habitus; wider utilisation of the automatic exposure monitoring systems with an integrated option for individual exposure tracking in standardised patient-specific risk metrics; improved training and communication. The integration of the clinical and exposure history data will support improved knowledge about radiation risks from low doses and individual radiosensitivity. The radiation protection framework will need to respond to the challenge of recurrent imaging and high individual doses. The radiation protection perspective complements the clinical perspective, and the risk to benefit analysis must account holistically for all incidental and long-term benefits and risks for patients, their clinical history and specific needs. This is a step toward the patient-centric health care.

Ramp It Up

2018 ◽  
Vol 45 (4) ◽  
pp. 302-311 ◽  
Author(s):  
Regan A. R. Gurung ◽  
Jana Hackathorn
Keyword(s):  
Teaching Methods ◽  
Course Design ◽  
Methods Course ◽  
Front Face ◽  
Models Of Teaching ◽  
Term Retention ◽  
Long Term Retention ◽  
Introductory Class ◽  
Future Work

The introductory psychology (Intro Psych) course is the bedrock of the psychology major and the front face of our discipline. The class not only provides a foundation for students in the major but also provides a comprehensive portrait of the discipline for nonmajors. Despite a sizable body of research focused on pedagogy related to the introductory class, there are many questions that remain unanswered. We provide a comprehensive review of scholarship related to the Intro Psych course and discuss current practices and concerns related to textbook options, as well as teaching methods, course design, assignments to help students learn, and students’ learning outcomes. Finally, we provide five major suggestions for future work. We charge researchers to identify major bottlenecks to learning, design multisite studies, measure moderators of learning, assess long-term retention, and design/assess different models of teaching Intro Psych.

scholarly journals CFD Simulation of the Dispersion of Exhaust Gases in a Traffic Loaded Street of Astana, Kazakhstan

2016 ◽  
Vol 9 (2) ◽  
pp. 158-166
Author(s):  
Ardak Akhatova ◽  
Assylan Kassymov ◽  
Meruyert Kazmaganbetova ◽  
Luis Ramon Rojas-Solórzano
Keyword(s):  
Cfd Simulation ◽  
Maximum Level ◽  
Weather Conditions ◽  
Control Measures ◽  
Convergence Criterion ◽  
Emission Rates ◽  
Wall Functions ◽  
Mesh Density ◽  
Volume Method ◽  
Future Work

The aim of this paper is to consider one of the most traffic-loaded regions of Astana city (Kazakhstan) and to determine the concentration of carbon-monoxide (CO) in the air during the peak hours. CFD analysis based on the SolidWorks-EFD platform was used to simulate the dispersion of contaminants given the estimated emission rates and weather conditions at the crossroad of Bogenbay Batyr and Zhenis Avenues in Astana. Turbulence prediction was based on k-ε model with wall functions. The governing equations were discretized using the finite volume method and a 2nd order spatial scheme. The mesh verification was based on 1% convergence criterion for a 50% of mesh density increment; air pressure near the wall of a selected building was chosen as the parameter to control the convergence. Numerical results are presented for prevailing conditions during all 4 seasons of the year, demonstrating that the highest levels of CO are recorded in summer and reach the values up to 11.2 ppm which are still lower than the maximum level admitted for humans. Nevertheless, obtained results show that Astana is gradually becoming a city that is likely to reach the critical levels of pollutants in the nearest future if control measures are not taken with enough anticipation. As for a future work, it is proposed to perform in-situ validation of specific scenarios to check and support the results obtained with CFD and to develop then specific policies for tackling the problem before it becomes evident.

scholarly journals The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing – an overview

2016 ◽  
Vol 9 (3) ◽  
pp. 1279-1301 ◽  
Author(s):  
Rosemary Munro ◽  
Rüdiger Lang ◽  
Dieter Klaes ◽  
Gabriele Poli ◽  
Christian Retscher ◽  
...  
Keyword(s):  
Data Processing ◽  
Instrument Design ◽  
Data Consistency ◽  
Current Status ◽  
Web Pages ◽  
Ozone Monitoring ◽  
Level 1 ◽  
Future Work ◽  
Ground Calibration

Abstract. The Global Ozone Monitoring Experiment-2 (GOME-2) flies on the Metop series of satellites, the space component of the EUMETSAT Polar System. In this paper we will provide an overview of the instrument design, the on-ground calibration and characterization activities, in-flight calibration, and level 0 to 1 data processing. The current status of the level 1 data is presented and points of specific relevance to users are highlighted. Long-term level 1 data consistency is also discussed and plans for future work are outlined. The information contained in this paper summarizes a large number of technical reports and related documents containing information that is not currently available in the published literature. These reports and documents are however made available on the EUMETSAT web pages and readers requiring more details than can be provided in this overview paper will find appropriate references at relevant points in the text.

Multiple regression analyses of midwinter fattening of the white-throated sparrow

1986 ◽  
Vol 64 (11) ◽  
pp. 2405-2411 ◽  
Author(s):  
Charles R. Blem ◽  
Michael H. Shelor
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Weather Conditions ◽  
Multiple Regression Model ◽  
Fine Tuning ◽  
Zonotrichia Albicollis ◽  
Independent Variables ◽  
Average Temperature ◽  
Extreme High Temperature

Midwinter lipid depots of the white-throated sparrow (Zonotrichia albicollis) at Richmond, Virginia, are correlated with a suite of environmental and morphological variables. Lipid reserves allow this species to survive even the most extreme winter conditions for several hours. Variables having the greatest individual correlations with lipid reserve are average temperature of the 20 days prior to capture, fat class, body weight, and long-term (32-year) average temperature of the date of capture. A comprehensive multiple regression model based on analyses of all possible independent variables accounts for 87% of the variation in lipid reserves. The most important independent variables in this model are body weight, mean temperature of the 20 days preceding collection, fat class, extreme high temperature of the day of capture, long-term average temperature, relative humidity, chill factor, wet-bulb temperatures of the day before and the day of capture, wing length, and precipitation. The "best" equation using only measurements of environment as independent variables included time of collection in hours after sunrise and hours before sunset, Eastern Standard Time, temperature of the 20 days prior to capture, and mean wind velocity of the day before capture. Models computed solely from temperature measurements included dry-bulb temperatures of the day of capture and the day before capture, low extreme temperatures of the day of capture, wet-bulb temperatures of the day before capture, and the 20-day average dry-bulb temperature of the period prior to collection. Fattening in response to weather conditions appears to be a form of "fine-tuning" of energy reserves superimposed on a more stable, intrinsic cycle of winter fattening.

Sign in / Sign up

Export Citation Format

Share Document