Circadian Rhythm of Blood Pressure: Internal and External Time Triggers

Diurnal blood pressure (BP) fluctuations are superimposed by a 24-h rhythm with usually lower levels during the night and higher levels during the day. In contrast to other rhythmic bioparameters, the diurnal BP rhythm is largely dependent on activity and sleep rather than on clock time. This has been demonstrated by the BP characteristics after shifted sleeping and working phases, during transition from sleep to wakefulness, and by the influence of sleep and activities on the 24-h BP curve during normal daily routines. Whereas the circadian rhythm of BP is predominantly governed by external time triggers, endogenous rhythmicity can only be detected by time microscopic analysis or in conditions where effects of external time triggers are almost excluded.     

The Effect of Experimental Diabetes on the Twenty‐Four‐Hour Pattern of the Vasodilator Responses to Acetylcholine and Isoprenaline ın the Rat Aorta

The aim of this study was to investigate whether time‐dependent variations in the relaxant effect of acetylcholine, an endothelium‐dependent vasorelaxant via muscarinic receptors, and isoprenaline, a nonselective β‐adrenoceptor agonist in rat aorta, are influenced by streptozotocin (STZ)‐induced experimental diabetes. Adult male rats were divided randomly into two groups: control and STZ‐induced (STZ, 55 mg/kg, intraperitoneal) diabetes. The animals were synchronized to a 12∶12 h light‐dark cycle (lights on 08∶00 h) and sacrificed at six different times of day (1, 5, 9, 13, 17, and 21 hours after lights on; HALO) eight weeks after STZ injection. The in vitro responsiveness of thoracic aorta rings obtained from control and diabetic rats to acetylcholine (10^?9–10^?5 M) and isoprenaline (10^?10–10^?3 M) was determined in six different times. EC₅₀ (the concentration inducing half of the maximum response) values and maximum responses were calculated from cumulative concentration‐response curves of the agonists and were analyzed with respect to time and STZ treatment. Treatment, time, and interactions between treatment and time were tested by two‐way analysis of variance (ANOVA). To analyze differences due to biological time, one‐way ANOVA was used. STZ treatment did not significantly change EC₅₀ values or maximum responses for both agonists. There were statistically significant time‐dependent variations in the EC₅₀ values for isoprenaline and maximum responses for both acetylcholine and isoprenaline in control groups by one‐way ANOVA, but significant time‐dependent variations disappeared in the aortas isolated from STZ‐induced diabetic rats. The vasodilator responses to acetylcholine and isoprenaline failed to show any significant interaction (treatment×time of study) between STZ treatment and time of sacrifice in both EC₅₀ values and maximum responses by two‐way ANOVA. These results indicate there is a basic temporal pattern in the responses to acetylcholine and isoprenaline in rat aorta which continues in diabetes. It is shown for the first time that experimental diabetes does not change the 24 h pattern of responses to acetylcholine and isoprenaline, and that time‐dependent variations in the responses to these agonists disappear in diabetic animals. Although further studies are required to define the underlying mechanism(s) of these findings, results suggest that experimental diabetes can modify the time‐dependent vasorelaxant responses of rat aorta. This may help to understand the circadian rhythms in cardiovascular physiology and pathology or in drug effects in diabetes.     

基于多种方法的景观格局动态变化综合分析——以辽宁省铁岭市为例

景观格局变化一直是景观生态学研究的核心问题之一,也是相关生态和环境过程研究的基础.本文应用3S技术,综合传统的空间统计分析、转移矩阵、景观指数和景观动态指数、Kappa指数系列,并引入模糊Kappa指数方法,以铁岭市2002-2011年间景观格局变化为例进行了综合研究.结果表明:铁岭市景观空间格局在研究时段内发生一定程度的变化.旱地面积大幅增加,水田面积明显减少,各景观类型之间均有相互转化.景观格局总体的变化趋势是形状趋于复杂、异质性增加、破碎化加剧,人为干扰的影响较明显.研究区域2002-2007年综合景观动态度指数明显高于2007-2011年,景观动态总体呈现放缓趋势.通过Kappa指数系列可知,研究时段内研究区景观变化由景观类型之间变化为主逐渐转变为各类斑块位置上的变化为主.应用多种方法进行综合分析更能全面有效地反映景观格局变化.     

Reconstructing shifts in vital rates driven by long‐term environmental change: a new demographic method based on readily available data

Frequently, vital rates are driven by directional, long‐term environmental changes. Many of these are of great importance, such as land degradation, climate change, and succession. Traditional demographic methods assume a constant or stationary environment, and thus are inappropriate to analyze populations subject to these changes. They also require repeat surveys of the individuals as change unfolds. Methods for reconstructing such lengthy processes are needed. We present a model that, based on a time series of population size structures and densities, reconstructs the impact of directional environmental changes on vital rates. The model uses integral projection models and maximum likelihood to identify the rates that best reconstructs the time series. The procedure was validated with artificial and real data. The former involved simulated species with widely different demographic behaviors. The latter used a chronosequence of populations of an endangered cactus subject to increasing anthropogenic disturbance. In our simulations, the vital rates and their change were always reconstructed accurately. Nevertheless, the model frequently produced alternative results. The use of coarse knowledge of the species' biology (whether vital rates increase or decrease with size or their plausible values) allowed the correct rates to be identified with a 90% success rate. With real data, the model correctly reconstructed the effects of disturbance on vital rates. These effects were previously known from two populations for which demographic data were available. Our procedure seems robust, as the data violated several of the model's assumptions. Thus, time series of size structures and densities contain the necessary information to reconstruct changing vital rates. However, additional biological knowledge may be required to provide reliable results. Because time series of size structures and densities are available for many species or can be rapidly generated, our model can contribute to understand populations that face highly pressing environmental problems.     

Comparative bioluminescence dynamics among multiple Armillaria gallica, A. mellea, and A. tabescens genets

Bioluminescence is well known among white-spored species of Basidiomycota including several species of the white-rot wood decay genus Armillaria. Previous work demonstrated consistent differences among A. gallica, A. mellea, and A. tabescens in luminescence magnitude and in luminescence expression relative to environmental stimuli. In the present studies, temporal fluctuations in mycelial luminescence were quantitatively characterized using genets matched for geographical location. All genets derived from rhizomorphs or basdiomata were constitutively luminescent while six of 13 genets originating from mycelial fans were inconsistently luminescent. Using time series of 1000 consecutive measurements over 800 ms intervals, fluctuation patterns had significantly quantifiable structure and were not simply ‘white noise’. Fluctuation patterns were qualitatively similar with alternating periods of rapid fluctuation and relative stability, regardless of luminescence magnitude. Anomalous spikes or shifts in luminescence were recorded for several genets suggesting further work to identify the transient stimuli which elicited these altered luminescence patterns.     

Fill Factor Losses in Cu2ZnSn(SxSe1−x)4 Solar Cells: Insights from Physical and Electrical Characterization of Devices and Exfoliated Films

Besides the open circuit voltage (V_OC) deficit, fill factor (FF) is the second most significant parameter deficit for earth‐abundant kesterite solar cell technology. Here, various pathways for FF loss are discussed, with focus on the series resistance issue and its various contributing factors. Electrical and physical characterizations of the full range of bandgap (E_g = 1.0–1.5 eV) Cu₂ZnSn(S_xSe_1?x)₄ (CZTSSe) devices, as well as bare and exfoliated films with various S/(S + Se) ratios, are performed. High intensity Suns‐V_OC measurement indicates a nonohmic junction developing in high bandgap CZTSSe. Grazing incidence X‐ray diffraction, Raman mapping, field emission scanning electron microscopy, and X‐ray photoelectron spectroscopy indicate the formation of Sn(S,Se)₂, Mo(S,Se)₂, and Zn(S,Se) at the high bandgap CZTSSe/Mo interface, contributing to the increased series resistance (R_S) and nonohmic back contact characteristics. This study offers some clues as to why the record‐CZTSSe solar cells occur within a bandgap range centered around 1.15 eV and offers some direction for further optimization.     

An improved neutral landscape model for recreating real landscapes and generating landscape series for spatial ecological simulations

Many studies have assessed the effect of landscape patterns on spatial ecological processes by simulating these processes in computer‐generated landscapes with varying composition and configuration. To generate such landscapes, various neutral landscape models have been developed. However, the limited set of landscape‐level pattern variables included in these models is often inadequate to generate landscapes that reflect real landscapes. In order to achieve more flexibility and variability in the generated landscapes patterns, a more complete set of class‐ and patch‐level pattern variables should be implemented in these models. These enhancements have been implemented in Landscape Generator (LG), which is a software that uses optimization algorithms to generate landscapes that match user‐defined target values. Developed for participatory spatial planning at small scale, we enhanced the usability of LG and demonstrated how it can be used for larger scale ecological studies. First, we used LG to recreate landscape patterns from a real landscape (i.e., a mountainous region in Switzerland). Second, we generated landscape series with incrementally changing pattern variables, which could be used in ecological simulation studies. We found that LG was able to recreate landscape patterns that approximate those of real landscapes. Furthermore, we successfully generated landscape series that would not have been possible with traditional neutral landscape models. LG is a promising novel approach for generating neutral landscapes and enables testing of new hypotheses regarding the influence of landscape patterns on ecological processes. LG is freely available online.     

Metabolic profiling of rhizomes of native populations of the strictly endemic Croatian species Iris adriatica

Iris adriatica Trinajsti? ex Miti? (Iridaceae L.) is a strictly endemic taxon from Croatia. It is a rhizomatous dwarf plant from the I. pumila complex with a distribution area limited to the Croatian part of the Mediterranean area, mainly central Dalmatia. The genus Iris is known for its richness in isoflavonoids which also play a significant role in chemotaxonomy and biological activity. Hence, in the current study, different plant batches of I. adriatica collected in early spring of 2016 were analysed for their phytochemical profiles and qualitatively compared. UHPLC-PDA-ESI-MS analyses of methanolic rhizome extracts were performed. Altogether, 36 compounds, representing isoflavonoids (including 6,7-methylendioxy derivatives), benzophenones and xanthones were found as aglycones or in glycosidically bound form to be the main constituent groups of I. adriatica rhizomes. Qualitative results were identical between different batches of plant material from collection sites in central Dalmatia, they differed only in quantity. For some phenolic compounds of I. adriatica, chemotaxonomic relevance was detected.