An Initial Classification of the Habitats of Aquatic Coleoptera in North- East England

1986 ◽  
Vol 23 (3) ◽  
pp. 841 ◽  
Author(s):  
M. D. Eyre ◽  
S. G. Ball ◽  
G. N. Foster
Keyword(s):  
North East ◽  
Initial Classification

Vegetation on technogenic habitats in the far-north taiga and south forest-tundra of the European North-East of Russia. Alliance Chamerio angustifolii–Matricarion hookeri A. Ishbirdin et al. 1996

2019 ◽  
pp. 77-94
Author(s):  
I. A. Likhanova ◽  
G. S. Shushpannikova ◽  
L. P. Turubanova
Keyword(s):  
Komi Republic ◽  
Oil Fields ◽  
Soil Enrichment ◽  
Far North ◽  
North East ◽  
European North ◽  
Ecological Scales ◽  
Floristic Classification ◽  
Made In

The results of floristic classification of technogenic vegetation (alliance Chamerio angustifolii–Matricarion hookeri A. Ishbirdin et al. 1996, order Chamerio–Betuletalia nanae Khusainov et al. in Sumina 2012, class Matricario–Poetea arcticae A. Ishbirdin in Sumina 2012) conducted by the Braun-Blanquet method (Braun-Blanquet, 1964; Mirkin, Naumova, 1998) are given. 98 geobotanical relevés, made in 1981–2013 on areas of oil fields and suburbs of the Usinsk city (Komi Republic) (56–60о N, 67–66о E), were involved into analysis (Fig. 1). The ecological parameters like moisture (F) and mineral nitrogen soil enrichment (N) were assessed using the Ellenberg ecological scales (Ellenberg, 1974).

scholarly journals ST-Elevation Myocardial Infarction and COVID-19 Pneumonia: The Importance of Risk-Stratification of Myocardial Injury in COVID-19 Era

2021 ◽  
pp. 263246362199238
Author(s):  
Julio C. Sauza-Sosa ◽  
Oscar Millan-Iturbe ◽  
Jorge Mendoza-Ramirez ◽  
Carlos N. Velazquez-Gutierrez ◽  
Erika Lizeth De la Cruz Reyna ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Injury Risk ◽  
Myocardial Injury ◽  
Cardiovascular Complications ◽  
Adverse Outcomes ◽  
St Elevation ◽  
Diagnostic Coronary Angiography ◽  
Serial Measurements ◽  
Initial Classification

Background: Myocardial injury is a common manifestation in patients with coronavirus disease (COVID-19), and the correlation with adverse outcomes has been demonstrated; therefore, adequate monitoring of myocardial injury markers is very important. Case Summary: A patient with COVID-19 was hospitalized in our hospital with an initial classification of intermediate risk for myocardial injury, after serial measurements of myocardial injury markers, risk was readjusted to high, as shown later by electrocardiographic abnormalities. The patient underwent emergency diagnostic coronary angiography and successful angioplasty. The patient was discharged to home. Discussion: Myocardial injury risk-stratification is essential in patients with COVID-19, since it is essential in the recognition of patients who are susceptible to cardiovascular complications.

scholarly journals Improving MUSLE performance for sediment yield prediction at micro-watershed level using seasonal classified data

2018 ◽  
Vol 13 (3) ◽  
pp. 505-512
Author(s):  
Hamzeh Noor ◽  
Mohammad Rostami Khalaj
Keyword(s):  
Sediment Yield ◽  
Traditional Approach ◽  
Estimation Error ◽  
Superior Performance ◽  
North East ◽  
Erosion Processes ◽  
The North ◽  
East Of Iran ◽  
Different Seasons

Abstract Separating erosion data and assessing season-based models are of great importance considering the variation in soil erosion processes in different seasons, especially in semi-arid regions. However, evaluation of an erosion model using seasonal classification of data and at a micro-watershed level have rarely been considered. Therefore, the present study was conducted to evaluate the modified universal soil loss equation (MUSLE): 1) with the seasonal classification of data and 2) with the traditional approach (no classification of data), in the Sanganeh research micro-watershed. This watershed has an area of 1.2 ha and is located in the north east of Iran. The results showed that the original MUSLE overestimated the sediment yield in the study watershed. Also, after calibration of MUSLE, the seasonal classification of data (with a relative estimation error (RE) of 34%) showed its superior performance compared with the traditional calibration approach (with a RE of 62%). In this regard, the obtained REs of 33, 40, and 31% respectively for spring, autumn, and winter are within or close to the acceptable range.

Word Stress in Languages of the Caucasus

2021 ◽  
pp. 728-755
Author(s):  
Lena Borise
Keyword(s):  
Comprehensive Overview ◽  
The Caucasus ◽  
Stress Assignment ◽  
North West ◽  
Word Stress ◽  
North East ◽  
European Languages ◽  
Whole Word ◽  
Complex Cases

This chapter provides a comprehensive overview of the stress systems in Abkhaz-Adyghean/North-West Caucasian, Nakh-Dagestanian/North-East Caucasian, and Kartvelian/South-Caucasian languages, as well as the larger Indo-European languages of the area, Ossetic (Iron and Digoron) and Armenian. First, it addresses the so-called free stress languages, in which stress placement is not restricted to particular syllables/syllable types or morphemes, and the fixed stress languages, in which stress always targets a syllable in a certain position, counting from the left or right edge of a word. Next, quantity-sensitive stress systems are considered, in which stress is found on the heavier syllable within a given domain, such as a whole word or a part of it (a so-called stress window). Further, the chapter discusses languages in which stress assignment is morphologically conditioned. After the chapter introduces this classification of stress systems, it addresses the more complex cases that do not (fully) fit into it, notably the stress systems of Abkhaz-Adyghean and some of the Nakh-Dagestanian languages. Finally, the chapter considers underdescribed stress systems and languages for which conflicting descriptions have been proposed. The chapter closes with an overview of the available instrumental studies. Overall, the aim of the current chapter is to highlight the impressive diversity that the languages of the Caucasus exhibit in the realm of word stress and emphasize the need for further research in the area, both instrumental and theoretical.

scholarly journals The vulnerability analysis of catchment areas using rapid assessment method (case study in Universitas Indonesia, Depok)

2018 ◽  
Vol 192 ◽  
pp. 02033
Author(s):  
Eva Rolia ◽  
Dwita Sutjiningsih ◽  
Fitria Fitria
Keyword(s):  
Catchment Area ◽  
Rapid Assessment ◽  
Buffer Zone ◽  
Assessment Method ◽  
Rapid Assessment Method ◽  
Catchment Areas ◽  
High Level ◽  
Initial Classification

Catchment area of aquatic system in Universitas Indonesia (UI) campus has a function as groundwater recharge for Depok area, which is the buffer zone of Jakarta. This catchment area has high level of imperviousness as a consequence of increasing population. The high imperviousness implicates in the degradation of the catchment area health. For that reason, the vulnerability assessment of UI catchment area is needed to arrange of restoration recommendation. This research applies Rapid Assessment Method which implements eco-hydrological concepts including aquatic and riparian condition as well as imperviousness of catchment area. Locations of the research are Kenanga and Agathis catchments area. The result of initial classification based imperviousness both catchment areas are categorised as Non-Supporting, where the imperviousness of Kenanga and Agathis is 31,0% and 77,18% respectivelly. Based on the assessment on aquatic and riparian condition as well as future land use, the final classification of both catchment areas is Restorable Non-Supporting catchment area.

The effect of intravenous infusion of glucose on ethanol stability of milk in Holstein dairy cows

2003 ◽  
Vol 2003 ◽  
pp. 132-132
Author(s):  
S. S. Sobhani ◽  
R. Valizadeh ◽  
A. A. Naserian
Keyword(s):  
Dairy Cows ◽  
Critical Factor ◽  
Negative Energy ◽  
Casein Micelles ◽  
Processing Industry ◽  
Milk Serum ◽  
Dairy Processing ◽  
Ethanol Stability ◽  
Initial Classification

The alcohol test is used as the initial classification of milk in dairy farms. It’s used as a measure of the natural pH of milk, which is a critical factor for stabilizing casein micelles in milk serum phase during heating (Barros et al., 2000). In practical conditions the test could be also positive immediately after milking, and this type of milk is rejected by dairy processing industry. An experiment was conducted to evaluate the effects of negative energy balance and low level of blood glucose on incidence of alcohol-positive milk in Holstein high milking cows (Sobhani et al., 2002).

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