scholarly journals Variability of thermoregulation parameters of the common viper

2021 ◽  
Vol 325 (1) ◽  
pp. 99-112
Author(s):  
N.D. Ganyushina ◽  
A.V. Korosov

The results of processing the data of continuous recording of body temperature using loggers obtained with the enclosure keeping 23 individuals of the common viper Vipera berus L. in Karelia (62.068310°N, 33.958824°E) are presented. Nine temperature characteristics, subdivided into 2 groups, were quantitatively evaluated – thermoecological, describing the dependence of the course of the viper’s body temperatures on the heat flux of the medium, and thermophysiological, stable parameters of thermoregulation. The factors that determine the variability of temperature characteristics are considered: time of day, weather conditions, morphometric indicators of an individual. A wide individual variability of thermoecological indicators and low variability of thermophysiological indicators were revealed, which was not associated with significant differences in different individuals. The parameter “maximum voluntary temperature”, which characterizes body temperature while avoiding overheating, is the closest to the physiological parameter of thermoregulation; obtaining such data is a very laborious process associated with deciphering the snake’s behavior from video recordings. An indicator that gives close values to the maximum voluntary temperature, which has a very simple calculation algorithm – “median active temperature (for a sample of temperatures above 30°C)”; however, it requires a volumetric series of continuously recorded temperature records for analysis. An accurate, statistically robust “maximum typical temperature” parameter gives an idea of the true maximum temperature characteristic of a species, but has a complex calculation method. These thermophysiological parameters are recommended to be used for intrapopulation and interspecies comparisons.

Author(s):  
V. Нolovan ◽  
V. Gerasimov ◽  
А. Нolovan ◽  
N. Maslich

Fighting in the Donbas, which has been going on for more than five years, shows that a skillful counter-battery fight is an important factor in achieving success in wars of this kind. Especially in conditions where for the known reasons the use of combat aviation is minimized. With the development of technical warfare, the task of servicing the counter-battery fight began to rely on radar stations (radar) to reconnaissance the positions of artillery, which in modern terms are called counter-battery radar. The principle of counter-battery radar is based on the detection of a target (artillery shell, mortar mine or rocket) in flight at an earlier stage and making several measurements of the coordinates of the current position of the ammunition. According to these data, the trajectory of the projectile's flight is calculated and, on the basis of its prolongation and extrapolation of measurements, the probable coordinates of the artillery, as well as the places of ammunition falling, are determined. In addition, the technical capabilities of radars of this class allow you to recognize the types and caliber of artillery systems, as well as to adjust the fire of your artillery. The main advantages of these radars are:  mobility (transportability);  inspection of large tracts of terrain over long distances;  the ability to obtain target's data in near real-time;  independence from time of day and weather conditions;  relatively high fighting efficiency. The purpose of the article is to determine the leading role and place of the counter-battery radar among other artillery instrumental reconnaissance tools, to compare the combat capabilities of modern counter-battery radars, armed with Ukrainian troops and some leading countries (USA, China, Russia), and are being developed and tested in Ukraine. The method of achieving this goal is a comparative analysis of the features of construction and combat capabilities of modern models of counter-battery radar in Ukraine and in other countries. As a result of the conducted analysis, the directions of further improvement of the radar armament, increasing the capabilities of existing and promising counter-battery radar samples were determined.


Author(s):  
И.А. Уткина ◽  
В.В. Рубцов

Ранняя (Quercus robur var. praecox Czern.) и поздняя (Q. robur var. tardiflora Czern.) фенологические формы дуба черешчатого, выделенные в самостоятельные таксоны в середине XIX в., неоднократно становились объектами исследований для специалистов разного профиля. Собрано немало данных о различиях в их росте, требованиях к условиям местообитания, устойчивости к неблагоприятным внешним факторам. Иногда кроме ранней и поздней феноформ выделяют еще и промежуточные между ними. Наиболее отчетливо различия между феноформами, обусловленные разными сроками листораспускания, проявляются в реакции на поздние весенние заморозки и повреждение листвы насекомыми-филлофагами. Так как на деревьях поздней формы листовые и цветочные почки раскрываются намного позже, чем на ранней, поздняя форма избегает повреждения весенними заморозками. Кроме того, обладая меньшей способностью к формированию летних побегов, она меньше повреждается и ранними осенними заморозками, а также зимними морозами, что способствует образованию у нее более прямых и полнодревесных стволов, по сравнению с ранней формой. Ранняя форма чаще и сильнее повреждается филлофагами ранневесеннего комплекса, у которых отрождение гусениц из яиц синхронизировано с раскрытием почек и распусканием листьев. Есть данные, что видовой состав вредителей листвы на деревьях ранней и поздней форм дуба при их совместном произрастании примерно одинаков, зато численность отдельных видов филлофагов и их соотношение различны. На деревьях ранней формы их больше в несколько раз, что объясняется совпадением фаз развития большинства ранневесенних видов филлофагов и листвы этой формы дуба. Согласно результатам проведенных исследований, поздняя форма предпочтительнее для создания лесных культур дуба как более устойчивая к неблагоприятным погодным условиям и насекомым-вредителям. Early (Quercus robur var. praecox Czern.) and late (Q. robur var. tardiflora Czern.) phenological forms of the common oak, recognized as independent taxa in the mid-nineteenth century, have been subjects of multiple studies by specialists of different fields. Abundant data on the differences in their growth requirements, habitat conditions, and resistance to unfavorable external factors have been collected. Some specialists in addition to early and late phenoforms distinguish intermediate forms. Most clearly the differences between these forms appear in response to late spring frosts and damage of leaves by phyllophagous insects due to different timing of the forms' leafing. As leaf and flower buds in late oaks are revealed much later than in early oaks, late form avoids damage by spring frosts. In addition, due to lower ability to form summer shoots, late oaks are less damaged by early autumn frosts and winter freeze, which contributes to the formation of more straight and full trunks comparing to early oaks. Early oaks are damaged more severely by phyllophagous insects of spring complex, in which hatching of caterpillars from eggs is synchronized with opening buds and unfolding of leaves. There is evidence that species composition of foliage pests on co-occurant early and late forms of oak is nearly the same, but the number of individual species of phyllophagous insects and their ratio are different. In the early form the number of phyllophagous insects is greater by several fold due to concurrence of developmental phases in most early spring phyllophagous species and foliage of this oak form. The obtained results show that the late form of common oak is preferable for forest plantations as more resistant to unfavorable weather conditions and insect pests.


Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Carl T. Berdahl ◽  
An T. Nguyen ◽  
Marcio A. Diniz ◽  
Andrew J. Henreid ◽  
Teryl K. Nuckols ◽  
...  

Abstract Objectives Obtaining body temperature is a quick and easy method to screen for acute infection such as COVID-19. Currently, the predictive value of body temperature for acute infection is inhibited by failure to account for other readily available variables that affect temperature values. In this proof-of-concept study, we sought to improve COVID-19 pretest probability estimation by incorporating covariates known to be associated with body temperature, including patient age, sex, comorbidities, month, and time of day. Methods For patients discharged from an academic hospital emergency department after testing for COVID-19 in March and April of 2020, we abstracted clinical data. We reviewed physician documentation to retrospectively generate estimates of pretest probability for COVID-19. Using patients’ COVID-19 PCR test results as a gold standard, we compared AUCs of logistic regression models predicting COVID-19 positivity that used: (1) body temperature alone; (2) body temperature and pretest probability; (3) body temperature, pretest probability, and body temperature-relevant covariates. Calibration plots and bootstrap validation were used to assess predictive performance for model #3. Results Data from 117 patients were included. The models’ AUCs were: (1) 0.69 (2) 0.72, and (3) 0.76, respectively. The absolute difference in AUC was 0.029 (95% CI −0.057 to 0.114, p=0.25) between model 2 and 1 and 0.038 (95% CI −0.021 to 0.097, p=0.10) between model 3 and 2. Conclusions By incorporating covariates known to affect body temperature, we demonstrated improved pretest probability estimates of acute COVID-19 infection. Future work should be undertaken to further develop and validate our model in a larger, multi-institutional sample.


2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.


2021 ◽  
Vol 7 (1) ◽  
pp. 1930932
Author(s):  
Matiwos Habte ◽  
Mitiku Eshetu ◽  
Melesse Maryo ◽  
Dereje Andualem ◽  
Abiyot Legesse ◽  
...  

2000 ◽  
Vol 78 (10) ◽  
pp. 1831-1839 ◽  
Author(s):  
P Sound ◽  
M Veith

Daily activity patterns of male western green lizards, Lacerta bilineata (Daudin, 1802), at the edge of their northern distribution range in western Germany after the breeding season from June to October were recorded using implanted radio transmitters. Different activity indices discriminating between stimulation, duration, and length of movement were correlated with actual weather conditions (d0) and with weather conditions on the 2 previous days (d-1 and d-2). The lizards' dependence on weather showed two different phases throughout the study period. During the first period and in the period preceding a drastic change of weather in midsummer, weather had no significant influence on movement parameters. After that event, temperatures dropped and a strong dependence on weather of all movement parameters except those indicating displacements became apparent. Thresholds for 50% activity during this second phase were a maximum temperature of 17°C and a minimum humidity of 35%. Two days after periods of bad weather, the influence of weather conditions increased again. This can be explained by physiological deficits that require compensation during the period of marginal weather conditions prior to hibernation. Displacement movements were significantly longer than home-range movements and were neither triggered nor modulated by the weather. They must therefore represent activities such as patrolling territory boundaries.


2021 ◽  
Vol 180 ◽  
pp. 51-61
Author(s):  
Huan Wu ◽  
Lixin Gong ◽  
Tinglei Jiang ◽  
Jiang Feng ◽  
Aiqing Lin

Author(s):  
Jane I Khudyakov ◽  
Michael D Treat ◽  
Mikayla C Shanafelt ◽  
Jared S Deyarmin ◽  
Benjamin A Neely ◽  
...  

Many mammals use adaptive heterothermy (e.g. torpor, hibernation) to reduce metabolic demands of maintaining high body temperature (Tb). Torpor is typically characterized by coordinated declines in Tb and metabolic rate (MR) followed by active rewarming. Most hibernators experience periods of euthermy between bouts of torpor during which homeostatic processes are restored. In contrast, the common tenrec, a basoendothermic Afrotherian mammal, hibernates without interbout arousals and displays extreme flexibility in Tb and MR. We investigated the molecular basis of this plasticity in tenrecs by profiling the liver proteome of animals that were active or torpid with high and more stable Tb (~32°C) or lower Tb (~14°C). We identified 768 tenrec liver proteins, of which 50.9% were differentially abundant between torpid and active animals. Protein abundance was significantly more variable in active cold and torpid compared to active warm animals, suggesting poor control of proteome abundance. Our data suggest that torpor in tenrecs may lead to mismatches in protein pools due to poor coordination of anabolic and catabolic processes. We propose that the evolution of endothermy leading to a more realized homeothermy of boreoeutherians likely led to greater coordination of homeostatic processes and reduced mismatches in thermal sensitivities of metabolic pathways.


2014 ◽  
Vol 10 (1) ◽  
pp. 39-47
Author(s):  
B.E. Bergstrom ◽  
J.H. Foreman ◽  
C.R. Foreman ◽  
A.M. Barger

Sodium bicarbonate and other alkalinising solutions (‘milkshakes’) have been given to horses surreptitiously before exercise to provide exogenous buffering effects. After an initial positive blood test, some accused horse trainers claim that their horses ‘naturally test high’, so some jurisdictions allow a secured quarantine in which the horse is tested multiple times. The objective of this experiment was to determine the intra- and inter-day variability of plasma total CO2 (tCO2) and other plasma strong ions in a group of sedentary horses housed similarly to a quarantine period. The hypothesis was that plasma tCO2 would not remain constant over a multi-day monitoring interval, but would vary measurably during that interval. Eight sedentary (unconditioned) horses were studied for 2 weeks. Horses were acclimated to a climate-controlled indoor environment and an alfalfa-only diet for a minimum of 10 days prior to sampling. Horses were sampled 3 times daily for 5 consecutive days at 7:00, 11:00 and 15:00 h. Blood samples were collected directly into 10 ml heparinised evacuated glass tubes by jugular venipuncture using a double-ended 0.91 mm needle. Samples were chilled until concentrations of plasma tCO2, Na+, K+, and Cl-, were determined within 1-3 h of sampling using an automated serum chemistry analyzer which was calibrated daily using commercial reagents obtained from the manufacturer as well as externally-obtained NIST-traceable calibrating solutions. Mean results documented mild variations in mean plasma tCO2 (range 28.9-31.6 mmol/l), but individual horses’ plasma tCO2 ranged over 4-7 units. Results showed that there was considerable intra- and inter-individual variability in plasma tCO2. Mean pooled tCO2 and measured strong ion difference (SIDm) differed by time-of-day, with both late morning and early afternoon values lower than early morning values (P<0.001). There was a strong positive linear relationship between plasma SIDm and tCO2 (r=0.75, P<0.001).


2017 ◽  
Vol 35 (0) ◽  
Author(s):  
L.F. CIESLIK ◽  
R.A. VIDAL ◽  
A.B. MACHADO ◽  
M.M. TREZZI

ABSTRACT Grass weeds are common in summer crops and strongly decreases the grain yield of the common bean crop. The time of herbicide application influences the variability of environmental conditions and affects the product performance. The objectives of this work were to identify the time of fluazifop-p-butyl (fluazifop) application which gives best grass weed control in the common bean crop and to elucidate the environmental variables most important for the efficacy of this herbicide. Field experiments were conducted involving five application times (2 a.m., 6 a.m., 11 a.m., 4 p.m. and 9 p.m.) and five doses of fluazifop (80, 110, 140, 170 and 200 g ha-1), with additional no-herbicide control. At the time of the herbicide application it was determined the air temperature, relative humidity, the photosynthetically active radiation (PAR) and the leaf angle, whereas the weed control and the dry mass of the weed Urochloa plantaginea was assessed at 20 days after treatment (DAT). Efficacy on grass control with fluazifop was dependent on the herbicide dose and on the time of day that the product was applied. Spray at early morning hours (6 a.m.) showed better efficacy on weed control in relation to periods during warmer conditions of the day (11 a.m. and 4 p.m.). Nocturnal fluazifop application had better weed control when compared to herbicide sprayed in the afternoon. The air temperature, relative humidity and PAR were correlated to weed leaf angle, which correlated the most with fluazifop performance.


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