scholarly journals Unsupervised online activity discovery using temporal behaviour assumption

Author(s):  
Hristijan Gjoreski ◽  
Daniel Roggen
2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.


1983 ◽  
Vol 44 (C7) ◽  
pp. C7-479-C7-487 ◽  
Author(s):  
M. Broglia ◽  
F. Catoni ◽  
P. Zampetti

1987 ◽  
Vol 26 (03) ◽  
pp. 117-123
Author(s):  
P. Tautu ◽  
G. Wagner

SummaryA continuous parameter, stationary Gaussian process is introduced as a first approach to the probabilistic representation of the phenotype inheritance process. With some specific assumptions about the components of the covariance function, it may describe the temporal behaviour of the “cancer-proneness phenotype” (CPF) as a quantitative continuous trait. Upcrossing a fixed level (“threshold”) u and reaching level zero are the extremes of the Gaussian process considered; it is assumed that they might be interpreted as the transformation of CPF into a “neoplastic disease phenotype” or as the non-proneness to cancer, respectively.


Author(s):  
Matthew N. O. Sadiku ◽  
Mahamadou Tembely ◽  
Sarhan M. Musa

Social media (or social networking) is a universal phenomenon.  It is the most popular online activity worldwide. It empowers people to share their opinions with others online.It has opened new ways of communication in the hyper-connected world. It has become an integral part of modern society as they provide means of interacting and socializing. This paper briefly introduces beginners to social media.


Author(s):  
D. Verzilin ◽  
T. Maximova ◽  
I. Sokolova

Goal. The purpose of the study was to search for alternative sources of information on popu-lation’s preferences and response to problems and changes in the urban environment for use in the operational decision-making at situational centers. Materials and methods. The authors used data from search queries with keywords, data on communities in social networks, data from subject forums, and official statistics. Methods of statistical data analysis were applied. Results. The analysis of thematic online activity of the population was performed. The re-sults reflected the interest in the state of the environment, the possibility of distance learning and work, are presented. It was reasoned that measurements of population’s thematic online activity let identify needs and analyze the real-time response to changes in the urban envi-ronment. Such an approach to identifying the needs of the population can be used in addition to the platforms “Active Citizen” of the Smart City project. Conclusions. An analysis of data on online activity of the population for decision-making at situational centers is more operational, flexible and representative, as compared with the use of tools of those platforms. Such an analysis can be used as an alternative to sociological surveys, as it saves time and money. When making management decisions using intelligent information services, it is necessary to take into account the needs of the population, reflect-ed in its socio-economic activity in cyberspace.


2020 ◽  
Vol 17 ◽  
Author(s):  
Ahmed Nuri Kursunlu ◽  
Elif Bastug ◽  
Ersin Guler

Background: Chemosensor compounds are useful for sensitive selective detection of cations and anions with fluorophore groups in an attempt to develop the effective selectivity of the sensors. Although familiar fluorescent sensors utilizing inter-molecular interactions with the cations and anions, an extraordinary endeavor was executed the preparation of fluorescent-based sensor compounds. 4,4-difluoro-4- bora-3a,4a-diaza-s-indacene (Bodipy) and its derivatives were firstly used as an agent in the imaging of biomolecules due to their interesting structures, complexation, and fluorogenic properties. Among the fluorescent chemosensors used for cations and anions, Bodipy-based probes stand out owing to the excellent properties such as sharp emission profile, high stability, etc. In this review, we emphasize the Bodipy-based chemosensor compounds, which have been used to image cations and anions in living cells, because of as well as the biocompatibility and spectroscopic properties. Methods: Research and online content related to chemosensor online activity is reviewed. The advances, sensing mechanisms and design strategies of the fluorophore exploiting selective detection of some cation and anions with Bodipy-based chemosensors are explained. It could be claimed that the using of Bodipy-based chemosensors is very important for cations and anions in bio-imaging applications. Results: Molecular sensors or chemosensors are molecules that show a change can be detected when affected by the analyte. They are capable of producing a measurable signal when they are selective for a particular molecule. Molecular and ion recognition that it is important in biological systems such as enzymes, genes, environment, and chemical fields. Due to the toxic properties of many heavy metal ions, it is of great importance to identify these metals due to their harmful effects on living metabolism and the pollution they create in the environment. This process can be performed with analytical methods based on atomic absorption and emission. The fluorescence methods among chemosensor systems have many advantages such as sensitivity, selectivity, low price, simplicity of using the instrument and direct determination in solutions. The fluorescence studies can be applied at nanomolar concentrations. Conclusion: During a few decades, a lot of Bodipy-based chemosensors for the detection of cations & anions have been investigated in bio-imaging applications. For the Bodipy-based fluorescent chemosensors, the Bodipy derivatives were prepared by different ligand groups for the illumination of the photophysical and photochemical properties. The synthesized Bodipy-based chemosensors have remarkable photophysical properties, such as a high quantum yield, strong molar absorption coefficient etc. Moreover, these chemosensors were successfully implemented on living organisms for the detection of analytes.


Author(s):  
Dario Pitocco ◽  
Mauro Di Leo ◽  
Linda Tartaglione ◽  
Emanuele Gaetano Rizzo ◽  
Salvatore Caputo ◽  
...  

Background: Diabetic Ketoacidosis (DKA) is one of the most commonly encountered diabetic complication emergencies. It typically affects people with type 1 diabetes at the onset of the disease. It can also affect people with type 2 diabetes, although this is uncommon. Methods: Research and online content related to diabetes online activity is reviewed. DKA is caused by a relative or absolute deficiency of insulin and elevated levels of counter regulatory hormones. Results: Goals of therapy are to correct dehydration, acidosis and to reverse ketosis, gradually restoring blood glucose concentration to near normal. Conclusion: Furthermore it is essential to monitor potential complications of DKA and if necessary, to treat them and any precipitating events.


Author(s):  
Yali Fan ◽  
Zhen Tu ◽  
Yong Li ◽  
Xiang Chen ◽  
Hui Gao ◽  
...  

Author(s):  
Naoko Iino ◽  
Toshiaki Yano ◽  
Toshikatsu Masumizu ◽  
Kisei Kinoshita ◽  
Itsushi Uno ◽  
...  

2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Christian Hutter

AbstractThis paper exploits big data on online activity from the job exchange of the German Federal Employment Agency and its internal placement-software to generate measures for search activity of employers and job seekers and—as a novel feature—for placement activity of employment agencies. In addition, the average search perimeter in the job seekers’ search profiles can be measured. The data are used to estimate the behaviour of the search and placement activities during the business and labour market cycle and their seasonal patterns. The results show that the search activities of firms and employment agencies are procyclical. By contrast, job seekers’ search intensity shows a countercyclical pattern, at least before the COVID-19 crisis.


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