Results 71 to 80 of about 586,326 (229)
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Applying Machine Learning to Predict Stock Value [PDF]
The purpose of this study was to compare machine learning techniques for short term stock prediction and evaluate their effectiveness. Stock value analysis is an important element of modern economies.
Afroze, Sadia +3 more
core +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Effectiveness of Open, High and Low Prices in Stock Market Price Prediction
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
Does uncertainty matter ? A stochastic dynamic analysis of bankable emission permit trading for global climate change policy [PDF]
Emission permit trading is a centerpiece of the Kyoto Protocol which allows participating nations to trade and bank greenhouse gas permits under the Framework Convention on Climate Change.
Zhang, Fan
core
An Intelligent Foreign Exchange Robot (i-FOREXBOT) Development with Scale Conjugate Gradient Neural Network. [PDF]
This paper describes an on-going work on the development of an intelligent foreign exchange forecast and decision support engine tagged i-FOREXBOT with an ultimate target of online deployment.
Adetiba, E. +2 more
core
A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
A generalized uncovered interest parity model of exchange rates [PDF]
Sticky price monetary models of exchange rates, while reasonable theoretically, have been disappointing empirically. Out-of-sample predictions have been little or no better than those from a naive model of no change. The most likely reason is that shocks
Adrian W. Throop
core
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker +16 more
wiley +1 more source
Purpose: This paper studies the problem that occurs on material purchase quantity in price uncertainty situation. Larger buying quantity when the price at high will increase the purchase amount while smaller buying quantity could risk the inventory level.
Melissa Christian Dinata +1 more
doaj +1 more source

