Colder weather and fewer sunlight hours increase the weight of alcohol as a cause of cirrhosis worldwide

2017 ◽  
Vol 66 (1) ◽  
pp. S80
Author(s):  
N.D. Shah ◽  
M. Cruz-Lemini ◽  
J.G. Abraldes ◽  
J. Altamirano ◽  
R. Bataller
Keyword(s):  
Sunlight Hours

Seasonal Variation in Serum 25-Hydroxy Vitamin D3 Does Not Affect 1,25-Dihydroxy Vitamin D

1994 ◽  
Vol 31 (1) ◽  
pp. 31-34 ◽  
Author(s):  
T J Hine ◽  
N B Roberts
Keyword(s):  
Vitamin D ◽  
Seasonal Variation ◽  
Reference Range ◽  
Seasonal Pattern ◽  
Individual Variability ◽  
Dihydroxyvitamin D ◽  
1,25 Dihydroxyvitamin D ◽  
25 Hydroxy Vitamin D ◽  
Time Periods ◽  
Sunlight Hours

The seasonal variation of serum 25-hydroxy vitamin D3 and 1,25-dihydroxyvitamin D has been investigated. Blood was taken from 27 healthy volunteers, aged 21–44 years old at 3 monthly intervals over a period of 1 year. A scrolling monthly programme with 12 quarterly (3 month) time periods was developed. A summer associated increase in 25-hydroxy vitamin D3 was significantly correlated with but lagged behind by 2 months, the increase in recorded sunlight hours. However, four individuals showed no seasonal rise but maintained constant concentrations throughout the year within the established reference range. Serum 1,25-dihydroxy vitamin D showed marked intra-individual variability with no seasonal pattern although the highest concentration (180 pmol/L) was observed in the winter and no concentration greater than 108 pmol/L in the summer.

scholarly journals Actinic Cheilitis: A Case Report and a Review of the Literature

2011 ◽  
Vol 05 (01) ◽  
pp. 101-106 ◽  
Author(s):  
Neil Hamilton Wood ◽  
Razia Khammissa ◽  
Robin Meyerov ◽  
Johan Lemmer ◽  
Liviu Feller
Keyword(s):  
Case Report ◽  
Clinical Features ◽  
Protective Clothing ◽  
Neoplastic Transformation ◽  
Current View ◽  
The Sun ◽  
Review Of The Literature ◽  
Actinic Cheilitis ◽  
Prophylactic Measures ◽  
Sunlight Hours

ABSTRACTIn actinic cheilitis, the current view is that the keratinocytes have undergone transformation forming a field of epithelium with the potential for neoplastic transformation. Clinical features include diffuse and poorly demarcated atrophic, erosive or keratotic plaques that may affect some parts of, or the entire vermilion border. Fair-complexioned people, those with albinism and people with eversion of the lip are all subject to actinic cheilitis. Prophylactic measures against all forms of sunlight-induced lesions must include limitation of exposure to the sun during peak sunlight hours, the use of appropriate protective clothing, and the use of a sunscreen cream. In this article, a case of albinism is used to illustrate the nature of actinic cheilitis, its clinical features and its treatment. (Eur J Dent 2011;5:101-106)

ASSOCIATIONS AMONG CATARACT PREVALENCE, SUNLIGHT HOURS, AND ALTITUDE IN THE HIMALAYAS1

1983 ◽  
Vol 118 (2) ◽  
pp. 250-264 ◽  
Author(s):  
LAWRENCE B. BRILLIANT ◽  
NICOLE C. GRASSET ◽  
RAM PRASAD POKHREL ◽  
ALBERT KOLSTAD ◽  
JAMES M. LEPKOWSKI ◽  
...  
Keyword(s):  
Sunlight Hours

scholarly journals Colder Weather and Fewer Sunlight Hours Increase Alcohol Consumption and Alcoholic Cirrhosis Worldwide

Hepatology ◽  
2019 ◽  
Vol 69 (5) ◽  
pp. 1916-1930 ◽  
Author(s):  
Meritxell Ventura‐Cots ◽  
Ariel E. Watts ◽  
Monica Cruz‐Lemini ◽  
Neil D. Shah ◽  
Nambi Ndugga ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Alcoholic Cirrhosis ◽  
Increase Alcohol Consumption ◽  
Sunlight Hours

Comparison of Sungkai Tree-Ring Components and Meteorological Data from Western Java, Indonesia

2013 ◽  
Vol 8 (1) ◽  
pp. 95-102 ◽  
Author(s):  
YumikoWatanabe ◽  
◽  
Shigeki Tamura ◽  
Takeshi Nakatsuka ◽  
Suyako Tazuru ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Tree Ring ◽  
Rainy Season ◽  
Significant Positive Correlation ◽  
Meteorological Data ◽  
Ring Width ◽  
Growth Period ◽  
Vessel Area ◽  
Earlywood Vessel ◽  
Sunlight Hours

In order to explore the potential of tree-ring components as climate proxies in Asian tropical area, we performed a systematic comparison between temporal variations in meteorological data – precipitation, relative humidity and sunlight hours – and those in treering parameters – ring width, mean earlywood vessel area and δ18O– in a sungkai disk collected from western Java, Indonesia. Ring width shows a significant positive correlation with precipitation in the last dry season prior to growth period. Ring width is also correlated inversely with sunlight hours in the last dry season. Mean earlywood vessel area shows a significant, positive correlation with precipitation and relative humidity during the rainy season of growth period. The δ18O and δ13C time series of alpha-cellulose samples, which divide each ring into three parts – earlywood, inner latewood and outer latewood – vary, furthermore, from 22‰ to 28‰ and from -28‰ to -24‰, respectively. δ13C results show distinct annual cycles, for which values of earlywood are highest, gradually followed by a decrease. Although δ18O has no such seasonal pattern, annual-averaged δ18O records show an inverse correlation with precipitation and relative humidity in the rainy season of growth period. As described above, multi-components of sungkai tree rings are expected to be useful in paleoclimate reconstruction on a seasonal scale.

SPATIAL AND TEMPORAL COMPUTER ANALYSIS OF INSECTS AND WEATHER: GRASSHOPPERS AND RAINFALL IN ALBERTA

1988 ◽  
Vol 120 (S146) ◽  
pp. 33-48 ◽  
Author(s):  
Daniel L. Johnson ◽  
Adla Worobec
Keyword(s):  
New Technology ◽  
Monthly Rainfall ◽  
Population Abundance ◽  
Geographic Scale ◽  
Rapid Mapping ◽  
Quotient Maps ◽  
Average Rainfall ◽  
Relationship Of ◽  
The Relationship ◽  
Sunlight Hours

AbstractNew technology allows the rapid mapping of point or polygon variables, the correlation of maps, and the use of maps as variables in computer models. An illustration is the use of map correlation to investigate how changes in abundance of adult grasshoppers relate to rainfall in Alberta: maps of monthly rainfall, monthly hours of sunlight and annual grasshopper counts (8391 survey records) from a 5-year period were contoured and correlated. The methods of smoothing are described. Correlograms of Moran's I over distance show spatial autocorrelation of grasshopper abundance on a geographic scale. The grasshopper counts were autocorrelated to 20–30 km on most maps, and the relationship of correlograms to contour mapping is discussed. Quotient maps were produced: each population–abundance map was divided by the map from the previous year, and the results were correlated with monthly rainfall maps. There was significant association between areas of increase and levels of rainfall. Population tended to decline in areas of above-average rainfall. A simple model enabled a forecast of grasshopper distribution from the previous year's grasshopper population, monthly rainfall maps, and sunlight hours during the previous August.

Colder Weather and Fewer Sunlight Hours Increase the Weight of Alcohol as a Cause of Cirrhosis Worldwide

2017 ◽  
Vol 152 (5) ◽  
pp. S942-S943
Author(s):  
Neil D. Shah ◽  
Monica Cruz-Lemini ◽  
Eva Stein ◽  
Juan Abraldes ◽  
Jose Altamirano ◽  
...  
Keyword(s):  
Sunlight Hours

scholarly journals Association between temperature, sunlight hours and alcohol consumption

PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0223312 ◽  
Author(s):  
Hannes Hagström ◽  
Linnea Widman ◽  
Erik von Seth
Keyword(s):  
Alcohol Consumption ◽  
Sunlight Hours

scholarly journals Impact of Weather Predictions on COVID-19 Infection Rate by Using Deep Learning Models

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yogesh Gupta ◽  
Ghanshyam Raghuwanshi ◽  
Abdullah Ali H. Ahmadini ◽  
Utkarsh Sharma ◽  
Amit Kumar Mishra ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Case Reports ◽  
Data Sets ◽  
Learning Models ◽  
Weather Factors ◽  
Data Set ◽  
Competitive Model ◽  
The Impact ◽  
Sunlight Hours ◽  
Better Than

Nowadays, the whole world is facing a pandemic situation in the form of coronavirus diseases (COVID-19). In connection with the spread of COVID-19 confirmed cases and deaths, various researchers have analysed the impact of temperature and humidity on the spread of coronavirus. In this paper, a deep transfer learning-based exhaustive analysis is performed by evaluating the influence of different weather factors, including temperature, sunlight hours, and humidity. To perform all the experiments, two data sets are used: one is taken from Kaggle consists of official COVID-19 case reports and another data set is related to weather. Moreover, COVID-19 data are also tested and validated using deep transfer learning models. From the experimental results, it is shown that the temperature, the wind speed, and the sunlight hours make a significant impact on COVID-19 cases and deaths. However, it is shown that the humidity does not affect coronavirus cases significantly. It is concluded that the convolutional neural network performs better than the competitive model.

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