Results 61 to 70 of about 110,803 (293)
A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST [PDF]
AbstractThis article proposes a neural-network approach to predict and simulate human mortality rates. This semi-parametric model is capable to detect and duplicate non-linearities observed in the evolution of log-forces of mortality. The method proceeds in two steps.
openaire +3 more sources
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
BackgroundThis investigation examines the worldwide impact of cardiovascular diseases (CVD) resulting from inadequate vegetable consumption, based on the 2021 Global Burden of Disease Study data.MethodThe study assessed the global, regional, and national
Qingsong Mao, Yuzhe Kong
doaj +1 more source
Forecasting Mortality Rate by Singular Spectrum Analysis
Singular spectrum analysis (SSA) is a relatively new and powerful non-parametric time series analysis technique that has demonstrated its capability in forecasting different time series in various disciplines.
Rahim Mahmoudvand +2 more
doaj +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
According to the Global Burden of Disease (GBD) study, chronic kidney disease (CKD) was prevalent in 697.5 million individuals worldwide in 2017. By 2040, it is anticipated that CKD will rank as the fifth most common cause of death.
Gulnur Zhakhina +13 more
doaj +1 more source
Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge [PDF]
Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities.
Allen, Christopher +75 more
core +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
BackgroundThis study aimed to quantify the global impact of pneumoconiosis resulting from occupational exposure to particulate matter, gasses, and fumes from 1990 to 2021, utilizing data from the Global Burden of Disease Study 2021.MethodThe analysis ...
Mao Qingsong +4 more
doaj +1 more source
Identifiability issues of age-period and age-period-cohort models of the Lee-Carter type
The predominant way of modelling mortality rates is the Lee-Carter model and its many extensions. The Lee-Carter model and its many extensions use a latent process to forecast.
Beutner, Eric +2 more
core +2 more sources

