Software systems All swept up: An initial classification of NSA surveillance technology

2014 ◽  
pp. 679-686
Keyword(s):  
Software Systems ◽  
Surveillance Technology ◽  
Initial Classification

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.

Distributed Systems

2020 ◽  
pp. 143-198
Author(s):  
Andreas Bolfing
Keyword(s):  
Distributed Systems ◽  
Fault Tolerant ◽  
Deterministic Algorithm ◽  
Impossibility Result ◽  
Software Systems ◽  
Trade Off ◽  
Byzantine Failures ◽  
The Individual ◽  
Special Case

Chapter 5 considers distributed systems by their properties. The first section studies the classification of software systems, which is usually distinguished in centralized, decentralized and distributed systems. It studies the differences between these three major approaches, showing there is a rather multidimensional classification instead of a linear one. The most important case are distributed systems that enable spreading of computational tasks across several autonomous, independently acting computational entities. A very important result of this case is the CAP theorem that considers the trade-off between consistency, availability and partition tolerance. The last section deals with the possibility to reach consensus in distributed systems, discussing how fault tolerant consensus mechanisms enable mutual agreement among the individual entities in presence of failures. One very special case are so-called Byzantine failures that are discussed in great detail. The main result is the so-called FLP Impossibility Result which states that there is no deterministic algorithm that guarantees solution to the consensus problem in the asynchronous case. The chapter concludes by considering practical solutions that circumvent the impossibility result in order to reach consensus.

REAL-TIME EMG ACQUISITION AND FEATURE EXTRACTION FOR REHABILITATION AND PROSTHESIS

2019 ◽  
Vol 31 (05) ◽  
pp. 1950037
Author(s):  
S. Uthvag ◽  
P. Vijay Sai ◽  
S. Dheeraj Kumar ◽  
Hariharan Muthusamy ◽  
Oinam Robita Chanu ◽  
...  
Keyword(s):  
Real Time ◽  
Electrode System ◽  
Healthcare Sector ◽  
Software Systems ◽  
Noisy Environments ◽  
Signal Processing Algorithm ◽  
Lead Electrode ◽  
Lower Limb Prosthesis ◽  
Limb Prosthesis

Electromyogram signals have been used for various applications in the healthcare sector for developing various methodologies and techniques in rehabilitation and prosthetics. This paper focuses on the use of EMG signals of trans-radial amputees for developing a myoelectric lower limb prosthesis capable of individual finger movement. The aim of this work is to develop proper hardware and software systems for real-time EMG classification. An improved double thresholding method for onset and offset detections has been developed to ensure its applicability in real-time. The proposed algorithm has been tested with real-time patient EMG signals using a three-lead electrode system from flexor digitalis region of the hand. Around 3000 samples of usable data corresponding to the flexion of each finger (Thumb-553, Index-655, Middle-723, Ring-720, Little-655) were acquired from 10 healthy subjects. The resultant extracted features were classified using various classifiers (KNN, KNN with PCA and LDA) and a comparison was done between the accuracies acquired from a commonly shared dataset against a subject-specific dataset. A robust onset signal processing algorithm enabled the real-time classification of EMG in noisy environments.

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).

scholarly journals An Initial Classification of Neotropical Water Mites (Acari: Hydrachnidia) Based on Habitat Preferences

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Hugo R. Fernández ◽  
Odile Fossati-Gaschignard
Keyword(s):  
Habitat Preferences ◽  
Special Importance ◽  
Running Waters ◽  
Water Mites ◽  
Functional Distribution ◽  
Mite Communities ◽  
The Vertical Distribution ◽  
Faunistic Composition ◽  
Initial Classification

Existing classifications of benthic and interstitial freshwater invertebrates are described and discussed. A classification is proposed for southern neotropical (south of latitude S 15) water mites in relation to their life style and habitat preferences. The classification includes planktonic, superficial, benthic, thermal, and subterranean forms. The diversity of the Hydrachnidia family and genera (22 families, 97 genera, and 521 species) is then analyzed using the new classification. Ubiquitous stygobites deserve special consideration because they move through ecotone zones and tolerate extreme conditions. Water mite communities from a north-western Argentinean stream were first described using a surber net and consequently considered as benthic. Nineteen Hydrachnidia species (from benthic to stygobite) were collected and classified. The vertical distribution observed during the year confirmed the permanent presence of benthic Hydrachnidia, even during the first flood, which is of special importance in running waters. The functional classification we propose will facilitate comparison of fauna from different areas that have different faunistic composition but may have similar functional distribution.

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

scholarly journals Objective determination of snow-grain characteristics from images

1998 ◽  
Vol 26 ◽  
pp. 112-118 ◽  
Author(s):  
Bernard Lesaffre ◽  
Evelyne Pougatch ◽  
Eric Martin
Keyword(s):  
Independent Set ◽  
Remote Sensing Data ◽  
Software Systems ◽  
Snow Sample ◽  
Cold Room ◽  
Objective Determination ◽  
Automated Determination ◽  
Snow Samples

The determination of snow-grain characteristics (such as type or size) is crucial for validating snow models and interpreting remote-sensing data. Until now, the size and type of snow grains have been estimated in the field. Nowadays, the transport of a snow sample in iso-octane allows laboratory analyses. The objective analysis of snow-grain digital images has been developed at the Centre d'Études de la Neige since the mid 1980s. The images are taken in a cold room and stored on a video disk. The calculation of the relevant parameters for snow characterization has been developed. Recently, the hardware- and software-systems have been upgraded, allowing quicker and easier analyses. Finally, a procedure designed to determine snow types from image analysis has been developed and calibrated using 65 snow samples. For that purpose, independent experts have determined the snow type (as defined by the International Classification) of each sample. The procedure has been verified using an independent set of snow images. This semi-automated determination gives 97% correct results on granular-snow types. However, it is not reliable for precipitation particles.

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