Results 71 to 80 of about 246,578 (242)

Maximum Entropy Production Principle for Stock Returns [PDF]

open access: yes, 2014
In our previous studies we have investigated the structural complexity of time series describing stock returns on New York's and Warsaw's stock exchanges, by employing two estimators of Shannon's entropy rate based on Lempel-Ziv and Context Tree ...
Fiedor, Paweł
core  

Predict Stock Prices using Neural Networks with Historical Stock Prices

open access: yesInternational Journal of Engineering & Technology, 2018
Stock markets have always intrigued researchers in industry as well as in academia. Some researchers consider stock price movements completely random. Many scholars have attempted to predict stock price using various sources of data available (like historical stock prices, news articles, twitter data, so on), by applying indigenous methods.
V. V. Ramalingam   +2 more
openaire   +1 more source

SmallTalk: a novel small‐sized fusion tag for peptide expression and purification

open access: yesFEBS Open Bio, EarlyView.
The SmallTalk fusion tag allows for the efficient expression and purification of soluble recombinant proteins or peptides in Escherichia coli. Testing with SmallTalk‐GFP confirmed that the proteins were soluble and folded correctly, while SmallTalk‐Bin1b maintained its antimicrobial activity against various bacterial isolates. This streamlined workflow
Atika Tariq   +3 more
wiley   +1 more source

Evaluation of in vitro toxicity of common phytochemicals included in weight loss supplements using 1H NMR spectroscopy

open access: yesFEBS Open Bio, EarlyView.
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies   +3 more
wiley   +1 more source

Time Series Prediction : Predicting Stock Price

open access: yes, 2017
Under advisement of Dr. Sang Kim, for his class CS542.
Elliot, Aaron, Hsu, Cheng Hua
openaire   +2 more sources

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

open access: yesFEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point   +7 more
wiley   +1 more source

Effectiveness of Open, High and Low Prices in Stock Market Price Prediction

open access: yesCopernican Journal of Finance & Accounting
Stock market price prediction is vital for investment decision amid difficulties with effective price predictions. The paper aims to analyse the rate of effectiveness in actual stock market price prediction using the open, high and low prices. The paper
Collins C. Ngwakwe
doaj   +1 more source

How Wave - Wavelet Trading Wins and "Beats" the Market

open access: yes, 2017
The purpose of this paper is to showcase trading strategies that give solutions to three difficult and intriguing problems in business finance, economics and statistics.
Brown, André EX (5398142)   +11 more
core   +3 more sources

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

open access: yesFEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li   +6 more
wiley   +1 more source

ConocoPhillips and Exxon Mobil stock price [PDF]

open access: yes
Exxon Mobil and ConocoPhillips stock price has been predicted using the difference between core and headline CPI in the United States. Linear trends in the CPI difference allow accurate prediction of the prices at a five to ten-year horizon.stock price ...
Kitov, Ivan
core   +1 more source

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