The Influence of Weather Context on Winter Resort Evaluations by Visitors

1997 ◽  
Vol 36 (2) ◽  
pp. 29-36 ◽  
Author(s):  
Peter W. Williams ◽  
Karim B. Dossa ◽  
John D. Hunt
Keyword(s):  
A Priori ◽  
Weather Conditions ◽  
Contextual Effects ◽  
Positive Outcomes ◽  
Negative Effects ◽  
Weather Factors ◽  
Evaluation Scores ◽  
Windy Weather ◽  
Attribute Evaluation ◽  
Attribute Satisfaction

Many of the criticisms of on-site surveys relate to contextual concerns. This is particularly the case for outdoor on-site surveys where the contextual effects of weather conditions are so intuitively apparent. In such circumstances, research is needed to suggest a priori which contextual weather factors have positive outcomes and which have negative effects. It was thought that some of the differences in reported satisfaction levels at winter resorts might be caused specifically by contextual weather conditions at the time of the assessment. To probe this perspective, this study compared the attribute satisfaction ratings of participants at Canadian winter resorts with prevailing weather conditions on the day of the survey. This article suggests that on-site weather conditions may be associated with the overall attribute evaluation scores reported by participants at Canadian winter resort destinations. This relationship appears to be particularly clear with respect to low attribute ratings occurring during windy weather conditions.

scholarly journals Differential Foraging of Indigenous and Exotic Honeybee (Apis mellifera L.) Races on Nectar-Rich Flow in a Subtropical Ecosystem

Insects ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 254
Author(s):  
Abdulaziz S. Alqarni
Keyword(s):  
Apis Mellifera ◽  
Weather Conditions ◽  
Field Trips ◽  
Negative Effects ◽  
Adverse Weather Conditions ◽  
Apis Mellifera Jemenitica ◽  
Adverse Weather ◽  
Windy Weather ◽  
Honeybee Subspecies ◽  
Bee Colonies

In the subtropics, agricultural activities such as beekeeping are greatly influenced by environmental challenges. In the desert of Central Arabia, honeybees forage on limited prairies that are affected by adverse weather conditions. Bee colonies reduce their field activities during extremely hot-dry-windy weather. This study investigated whether nectar-rich melliferous flora enhance the field activities of two honeybee subspecies, Apis mellifera jemenitica (indigenous) and A. m. carnica (exotic), despite the presence of severe weather conditions. The foraging and pollen-gathering activities of the two subspecies were evaluated on Acacia trees (Acacia gerrardii Benth.), a common subtropical, summery endemic bee plant, in the central desert of the Arabian Peninsula. The native colonies were significantly (p < 0.001) more active foragers than the exotic colonies (109 ± 4 and 49 ± 2 workers/colony/3 min, respectively). Similarly, the native colonies recruited significantly (p ˂ 0.01) more active pollen-gathering bees than the imported colonies (22 ± 1 and 7 ± 1 workers/colony/3 min, respectively). Furthermore, far more food was collected by the indigenous colonies than by the exotic colonies, and a higher portion of all field trips was allocated to pollen gathering by the indigenous bees than by the imported bees. The nectar-rich Acacia trees reduced the negative effects of hot-dry-windy weather. More research on honeybee colonies operating in the subtropical conditions of Central Arabia is needed, especially regarding heat tolerance mechanisms and effects on queen and drone fertility.

scholarly journals Effects of Curcumin and Its Different Formulations in Preclinical and Clinical Studies of Peripheral Neuropathic and Postoperative Pain: A Comprehensive Review

2021 ◽  
Vol 22 (9) ◽  
pp. 4666
Author(s):  
Paramita Basu ◽  
Camelia Maier ◽  
Arpita Basu
Keyword(s):  
Neuropathic Pain ◽  
Postoperative Pain ◽  
Clinical Studies ◽  
Curcuma Longa ◽  
Somatosensory System ◽  
Positive Outcomes ◽  
Negative Effects ◽  
Acute Postoperative Pain ◽  
Peripheral Neuropathic Pain ◽  
Preclinical And Clinical Studies

Lesion or disease of the somatosensory system leads to the development of neuropathic pain. Peripheral neuropathic pain encompasses damage or injury of the peripheral nervous system. On the other hand, 10–15% of individuals suffer from acute postoperative pain followed by persistent pain after undergoing surgeries. Antidepressants, anticonvulsants, baclofen, and clonidine are used to treat peripheral neuropathy, whereas opioids are used to treat postoperative pain. The negative effects associated with these drugs emphasize the search for alternative therapeutics with better efficacy and fewer side effects. Curcumin, a polyphenol isolated from the roots of Curcuma longa, possesses antibacterial, antioxidant, and anti-inflammatory properties. Furthermore, the low bioavailability and fast metabolism of curcumin have led to the advent of various curcumin formulations. The present review provides a comprehensive analysis on the effects of curcumin and its formulations in preclinical and clinical studies of neuropathic and postoperative pain. Based on the positive outcomes from both preclinical and clinical studies, curcumin holds the promise of mitigating or preventing neuropathic and postoperative pain conditions. However, more clinical studies with improved curcumin formulations are required to involve its use as adjuvant to neuropathic and postoperative drugs.

scholarly journals THE WAYS OF TECHNICAL REALIZATION OF ADAPTIVE ALGORITHM OF COMPENSATION OF NON-LINEAR DISTORTIONS OF RADIO DEVICES

2018 ◽  
Vol 6 (52) ◽  
pp. 140-143
Author(s):  
О. Shefer ◽  
N. Ichanska ◽  
B. Topikha ◽  
V. Shefer
Keyword(s):  
Adaptive Systems ◽  
Adaptive Filters ◽  
A Priori ◽  
Weather Conditions ◽  
Adaptive Method ◽  
Theory And Practice ◽  
Modern Theory ◽  
Additional Advantage ◽  
Local Systems ◽  
Non Linear

The practical realization of potential opportunities of onboard radio local systems of radio local systems (OBRLS) that are currently considerably higher than their real approachable technical characteristics is one of the main tasks of modern theory and practice of electronic and telecommunication. The authors of the article proposed some specific technical offers and ways of physical realization of scientifically grounded algorithm of adaptive compensation of non linear distortions (ACNLD). The insertion of artificial main and supportive entrances into the scheme of non-linear adaptive compensators allowed using the general theory of adaptive systems for their synthesis. The practical usage of synthesized following such a principle ACNLD according to the created recommendations allows to significantly increase the indices of quality of OBRLS in the real conditions of their functioning, comparing with the already known ones. An additional advantage of proposed adaptive method of expansion of linear dynamic diapason (LDD) is an improvement of all-weather of OBRLS and increasing of probability of identification of radio local maps of locality captured in different weather conditions without any additional changeovers. Except for this, a flexible reserve for the noise immunity of OBRLS is being fulfilled that allows taking into consideration the possible improvements of means of radio electronic struggle. Synthesized ACNLD are considerably free from many drawbacks of linear determined means of expansion of dynamic diapason of radio receiving devices (RRD) and also they have simpler apparatus realization. Except, in a process of projection of ACNLD a considerably less volume of a priori information about the parameters of LDD is needed for the calculation of already known schemes of depression of non-linear distortions. The transferring functions of adaptive filters of ACNLD are quite quickly gather at the non-linear transferring function of radio device (RD) provided that an effective convergence can be seen only with the presence of the inner noises at least unless they exceed the non-linear distortions by the level.

Early recognizing of a hurricanes from public satellite images

2021 ◽  
Author(s):  
A.A. Kuzmitsky ◽  
M.I. Truphanov ◽  
O.B. Tarasova ◽  
D.V. Fedosenko
Keyword(s):  
Satellite Images ◽  
A Priori ◽  
Vortex Formation ◽  
Weather Conditions ◽  
Local Area ◽  
Weather Data ◽  
Polar Coordinate System ◽  
Practical Implementation ◽  
Characteristic Points ◽  
Moving Points

One of the key tasks associated with the fast identification of powerful tropical hurricanes, the assessment of the growth of their power, is the formation of such an input dataset, which is based on data that are technically easy and accurately recorded and calculated using existing sources located in the open accessibility. The presented work is based on the analysis of satellite images as the main data sources, and on weather data as peripheral. An obvious advantage of satellite images in comparison with other sources of data on weather conditions is their high spatial resolution, as well as the ability to obtain data from various satellites, which increases the timeliness and accuracy of retrieving primary information. The developed approach consists in performing the following main interconnected iteratively performed groups of subtasks: calculation of feature points describing the location of individual cloud areas at different points in time by using different descriptors; comparison of the same cloud areas at specified times to analyze the local directions of cloud movements; tracking of cloudiness for specified time intervals; calculation of local features for selected points of cloudiness to recognize the origin and analyze turbulence; the formation of the dynamics of changes in the local area near the trajectory of the point; recognition of primary characteristic features characterizing the transformation of local turbulences into a stable vortex formation; identification of signs of the growing of a hurricane and assessment of the primary dynamics of the increase in its power; generalization and refinement of a priori given features by analyzing similar features of known cyclones. To detect points, a modified algorithm for finding them has been introduced. To describe the points, additional descriptors are introduced based on the normalized gradient measured for the neighborhood of neighboring points and cyclically changing in the polar coordinate system. A comparative analysis of the results of applying the created method and algorithm when compared with known similar solutions revealed the following distinctive features: introduction of additional invariant orientations of features when describing characteristic points and greater stability of detecting characteristic points when analyzing cloudiness, identification of cloudiness turbulence and analysis of changes in their local characteristics and movement parameters, formation of a set of generalizing distributions when analyzing a set of moving points for the subsequent recognition of the signs of a hurricane at its initial stages of formation. The developed approach was tested experimentally in the analysis of hurricanes video recordings and their movement in the Atlantic region for the period from 2010 to 2020. The developed general approach and a specific algorithm for estimating hurricane parameters based on cloud analysis are presented. The approach is applicable for practical implementation and allows accumulating data for detecting hurricanes in real time based on publicly available data for the development of a physical and mathematical model.

scholarly journals Statistical Modelling of the Effects of Weather Factors on Malaria Occurrence in Abuja, Nigeria

2020 ◽  
Vol 17 (10) ◽  
pp. 3474 ◽  
Author(s):  
Oguntade Emmanuel Segun ◽  
Shamarina Shohaimi ◽  
Meenakshii Nallapan ◽  
Alaba Ajibola Lamidi-Sarumoh ◽  
Nader Salari
Keyword(s):  
Linear Models ◽  
Negative Binomial ◽  
Malaria Incidence ◽  
Pearson Correlation ◽  
Ecological Factors ◽  
Weather Conditions ◽  
Statistical Modelling ◽  
Weather Variables ◽  
Weather Factors ◽  
Unit Increase

Background: despite the increase in malaria control and elimination efforts, weather patterns and ecological factors continue to serve as important drivers of malaria transmission dynamics. This study examined the statistical relationship between weather variables and malaria incidence in Abuja, Nigeria. Methodology/Principal Findings: monthly data on malaria incidence and weather variables were collected in Abuja from the year 2000 to 2013. The analysis of count outcomes was based on generalized linear models, while Pearson correlation analysis was undertaken at the bivariate level. The results showed more malaria incidence in the months with the highest rainfall recorded (June–August). Based on the negative binomial model, every unit increase in humidity corresponds to about 1.010 (95% confidence interval (CI), 1.005–1.015) times increase in malaria cases while the odds of having malaria decreases by 5.8% for every extra unit increase in temperature: 0.942 (95% CI, 0.928–0.956). At lag 1 month, there was a significant positive effect of rainfall on malaria incidence while at lag 4, temperature and humidity had significant influences. Conclusions: malaria remains a widespread infectious disease among the local subjects in the study area. Relative humidity was identified as one of the factors that influence a malaria epidemic at lag 0 while the biggest significant influence of temperature was observed at lag 4. Therefore, emphasis should be given to vector control activities and to create public health awareness on the proper usage of intervention measures such as indoor residual sprays to reduce the epidemic especially during peak periods with suitable weather conditions.

RELATIONSHIP BETWEEN WEATHER FACTORS AND DOLLAR SPOT OF CREEPING BENTGRASS

1984 ◽  
Vol 64 (1) ◽  
pp. 167-174 ◽  
Author(s):  
ROBERT HALL
Keyword(s):  
Disease Control ◽  
Creeping Bentgrass ◽  
Weather Conditions ◽  
Acceptable Level ◽  
Sclerotinia Homoeocarpa ◽  
Agrostis Palustris ◽  
Dollar Spot ◽  
Weather Factors ◽  
Average Temperature

In 1981 and 1982 epidemics of dollar spot of creeping bentgrass, caused by Sclerotinia homoeocarpa, proceeded in a series of steps. Each step began at a point where a decline in the epidemic rate was followed by an increase in the epidemic rate and continued until a new step began. A step in the epidemic occurred after two consecutive wet days if the average temperature for the period was at or above 22 °C or after three or more consecutive wet days if the average temperature for the period was 15 °C or greater. These weather conditions were referred to as "infection periods." In 1982, an application of Tersan 1991 (benomyl) 1 and 2 days after two infection periods provided an acceptable level of disease control as effective as that obtained from a regular preventive schedule of seven sprays.Key words: Agrostis palustris, disease control, Sclerotinia homoeocarpa, weather-timed spray

scholarly journals Impact of weather conditions and sowing method on seed performance of meadow clover in the Middle Urals

2021 ◽  
Vol 59 (2) ◽  
pp. 178-185
Author(s):  
N. I. Kasatkina ◽  
Z. S. Nelyubina ◽  
I. Sh. Fatykhov
Keyword(s):  
Seed Production ◽  
Negative Impact ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Middle Urals ◽  
Seed Productivity ◽  
Weather Factors ◽  
Seed Formation ◽  
Hydrothermal Coefficient ◽  
Hydrothermal Regime

Seed production of perennial leguminous herbs, including meadow clover (Trifolium praténse), is complicated due to the natural and climatic conditions of the region. In Middle Urals, only two to three years out of ten are favorable for seed production. Estimation of influence of the hydrothermal regime of the growing season and the sowing method has been carried out in the experimental crop rotation of the Udmurt Research Institute of Agriculture, UdmFRC Ural Branch of the RAS with the seed grass stand of meadow diploid clover varieties Pelican and Trio, tetraploid variety Kudesnik It has been revealed that seed productivity of meadow clover on sod-podzolic medium loamy soil was more dependent on the prevailing hydrothermal regimes of vegetation periods, as well as on the variety’s ploidy. A relatively high seeds yield of the Pelican variety (2n) 444-593 kg/ha and Kudesnik variety (4n) 101-116 kg/ha was formed under conditions of insufficient and optimal moisture supply of the vegetation period with a hydrothermal coefficient of 0.67-1.41. With increase in hydrothermal coefficient p to 1.56-1.69, the seeds yield of the Trio variety (2n) decreased to 251-328 kg/ha, of the Kudesnik variety (4n) - to 77-91 kg/ha. Under the same conditions, according to the hydrothermal regime of vegetation, the Kudesnik clover variety formed a relatively larger number of stems and heads, however, the heads productivity was significantly inferior to diploid varieties, which ultimately affected its seed productivity. Sowing diploid varieties of meadow clover Pelican and Trio in the usual ordinary way (15 cm), tetraploid variety Kudesnik in a wide-row way (30 cm) allowed increasing seeds yield and thereby neutralizing the negative impact of weather factors. Sstudy of the seed formation features of meadow clover varieties differing in ploidy in contrasting agrometeorological conditions may be of interest in developing methods for optimizing their seed productivity.

scholarly journals Resistance to Botrytis cinerea and Quality Characteristics during Storage of Raspberry Genotypes

HortScience ◽  
2014 ◽  
Vol 49 (3) ◽  
pp. 311-319 ◽  
Author(s):  
Julia M. Harshman ◽  
Wayne M. Jurick ◽  
Kim S. Lewers ◽  
Shiow Y. Wang ◽  
Christopher S. Walsh
Keyword(s):  
Botrytis Cinerea ◽  
Weather Conditions ◽  
Decay Rates ◽  
Rubus Idaeus ◽  
Soluble Solids ◽  
Postharvest Quality ◽  
Red Raspberry ◽  
Ethylene Evolution ◽  
Weather Factors

Raspberries are a delicate, high-value crop with an extremely short shelf life exacerbated by postharvest decay caused by Botrytis cinerea Pers. European red raspberry (Rubus idaeus L.) is the most widely grown variety. Yellow (R. idaeus L.), black (R. occidentalis L.), and purple raspberries (R. ×neglectus Peck. or R. occidentalis ×idaeus hybrids) are available mainly at local markets and U-pick farms. To compare the postharvest quality of the raspberry color groups, pesticide-free fruit from cultivars and breeding selections of red, yellow, purple, and black raspberries were examined for oxygen radical absorbance capacity (ORAC), phenolics, anthocyanins, soluble solids, titratable acids, pH, color, firmness, decay and juice leakage rates, ethylene evolution, and respiration. There were significant correlations between decay rate and physiochemical properties. Both decay and leakage rates were correlated with weather conditions before harvest, but each color group responded differently to different weather factors. There were no correlations among changes in color, firmness, decay, or juice leakage rates. All the other color groups were less acidic than the familiar red raspberry. Yellow raspberries had the worst decay rates but the best leakage rates. Black and purple raspberries, with the highest phenolics and anthocyanins and the lowest ethylene evolution rates, resisted decay the longest but bled soonest.

scholarly journals Integrated Regression Approach for Prediction of solar irradiance based on multiple weather factors

2021 ◽  
Vol 11 (2) ◽  
pp. 0-0
Keyword(s):  
Solar Energy ◽  
Solar Irradiance ◽  
Central India ◽  
Real Data ◽  
Weather Conditions ◽  
Weather Factors ◽  
Regression Approach ◽  
Different Seasons ◽  
Weather Parameters ◽  
Artificial Neural Network Ann

Solar irradiance is the most vital aspect in estimating the solar energy collection at any location. Renewable energy setup at any location is dependent on it and other ambient weather parameters. However, it is hard to predict due to unstable nature and dependence on variations in weather conditions. The correlation of ambient weather factors on the performance of solar irradiance is analysed, by collecting the data using weather API, over the year for a particular location of central India. The training of this non-linear data is carried out with hybrid regression model integrating decision tree regression with Artificial Neural Network (ANN) module. Experimentation is performed using real data of different days from different seasons of the year, also by considering different irradiance conditions. The results demonstrated significant weather factors with moderate positive and negative correlation with solar irradiance, which can be used as a helpful tool to predict it before deployment of solar energy setup.

scholarly journals Powdery mildew infection dependent on weather factors in vineyards near Keszthely in 2008

2010 ◽  
Vol 16 (2) ◽  
Author(s):  
P. Taksony ◽  
E. Tarczal ◽  
K. Maráczi ◽  
I. J. Holb ◽  
L. Kocsis
Keyword(s):  
High Temperature ◽  
Powdery Mildew ◽  
Vitis Vinifera ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Vitis Vinifera L ◽  
Weather Factors ◽  
Vegetative Period ◽  
Favorable Conditions ◽  
Powdery Mildew Infection

Weather conditions are extremely influential on grapevine productivity and quality. High temperature and humidity makes favorable conditions for powdery mildew infection respectively. The meteorological data around Keszthely, Hungary show the vegetative period is dryer and warmer than it was closely hundred years ago. We examined the development of powdery mildew infection  on  two variet ies Vitis vinifera L. cv Italian Riesling and cv Merlot in relation with meteorological data. No primer infections were appeared in the vineyard. The year of 2008 was quite ideal for the accumulation of Erysiphe necator in the experimental vineyard. Although the dry summer can lower the infection, but if the high temperature is coupling with rainfall, the possibilities of powdery mildew infection is going to grow higher during the upcoming years.

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