Results 41 to 50 of about 91,294 (309)

Optimization and application of tail pipe suspension device installed on electric submersible pump for super heavy oil

open access: yesYouqicang pingjia yu kaifa, 2020
In Tahe ultra-heavy oil block, the rod pump cannot meet the requirements of heavy oil pumping. Through the application of deep pumping electric pump for heavy oil and its coordination with tail pipe suspension, the development of ultra-heavy oil has ...
WANG Leilei   +4 more
doaj  

Novel scheme for synergistic purification of copper mine tailings and orthophosphate

open access: yesWater Science and Technology, 2022
Copper tailings (CTs) and orthophosphate are major environmental pollutants. CTs cause severe heavy metal pollution, and orthophosphate is one of the primary causes of water body eutrophication.
Runjuan Zhou, Ming Zhang
doaj   +1 more source

The heavy tail of the human brain

open access: yesCurrent Opinion in Neurobiology, 2015
Fluctuating oscillations are a ubiquitous feature of neurophysiology. Are the amplitude fluctuations of neural oscillations chance excursions drawn randomly from a normal distribution, or do they tell us more? Recent empirical research suggests that the occurrence of 'anomalous' (high amplitude) oscillations imbues their probability distributions with ...
Roberts, James A   +2 more
openaire   +4 more sources

Probability of ruin in discrete insurance risk model with dependent Pareto claims

open access: yesDependence Modeling, 2019
We present basic properties and discuss potential insurance applications of a new class of probability distributions on positive integers with power law tails.
Constantinescu Corina D.   +2 more
doaj   +1 more source

The Heavy Tails of Vulnerability Exploitation [PDF]

open access: yes, 2015
In this paper we analyse the frequency at which vulnerabilities are exploited in the wild by relying on data collected worldwide by Symantec’s sensors. Our analysis comprises 374 exploited vulnerabilities for a total of 75.7 Million recorded attacks spanning three years (2009-2012).
openaire   +1 more source

Counterproductive Altruism: The Other Heavy Tail

open access: yes, 2022
First, we argue that the appeal of effective altruism (henceforth, EA) depends significantly on a certain empirical premise we call the Heavy Tail Hypothesis (HTH), which characterizes the probability distribution of opportunities for doing good. Roughly,
Kokotajlo, Daniel, Oprea, Alexandra
core   +1 more source

Randomly Stopped Sums, Minima and Maxima for Heavy-Tailed and Light-Tailed Distributions

open access: yesAxioms
This paper investigates the randomly stopped sums, minima and maxima of heavy- and light-tailed random variables. The conditions on the primary random variables, which are independent but generally not identically distributed, and counting random ...
Remigijus Leipus   +3 more
doaj   +1 more source

The Heavy-Tailed Gleser Model: Properties, Estimation, and Applications

open access: yesMathematics, 2022
In actuarial statistics, distributions with heavy tails are of great interest to actuaries, as they represent a better description of risk exposure through a type of indicator with a certain probability.
Neveka M. Olmos   +2 more
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

Heavy-Tailed Independent Component Analysis [PDF]

open access: yes2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 2015
Independent component analysis (ICA) is the problem of efficiently recovering a matrix $A \in \mathbb{R}^{n\times n}$ from i.i.d. observations of $X=AS$ where $S \in \mathbb{R}^n$ is a random vector with mutually independent coordinates. This problem has been intensively studied, but all existing efficient algorithms with provable guarantees require ...
Joseph Anderson   +3 more
openaire   +2 more sources

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