Results 131 to 140 of about 15,054,030 (290)

Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches

open access: yesBioengineering
The urinary sodium-to-potassium (Na/K) ratio is a clinically established predictor of blood pressure and cardiovascular risk. This study aimed to develop and rigorously evaluate machine learning models for estimating the urinary Na/K ratio using four ...
Emi Yuda, Itaru Kaneko, Daisuke Hirahara
doaj   +1 more source

On Export-Led Growth: Is Manufacturing Exports a New Engine of Growth for Bangladesh? [PDF]

open access: yes
The study attempts to empirically verify the export-led growth hypothesis for Bangladesh. In this context, we examine whether manufacturing exports has become a new engine of export-led growth replacing total exports, as claimed by the so-called de novo ...
M.A.Hossain
core  

Topology‐Enabled Finite‐Band Absorption Framework Based on a Bioinspired Nested Dual‐Loop Architecture

open access: yesAdvanced Science, EarlyView.
A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu   +6 more
wiley   +1 more source

Bayesian tree and differential radial network with Bi-LSTM for wind power prediction in coastal and non-coastal regions in Andhra Pradesh

open access: yesInternational Journal of Electrical Power & Energy Systems
Wind energy is an essential renewable resource that is utilized to generate clean electricity in isolated regions, but it is difficult to harvest efficiently in both coastal and non-coastal places due to its unpredictable nature.
Poosarla Venkata Sireesha   +1 more
doaj   +1 more source

Random Covariance Heterogeneity in Discrete Choice Models [PDF]

open access: yes
The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Stephane Hess, John Polak, Denis Bolduc
core  

Airport and Access Mode Choice - A Generalized Nested Logit-Model Approach [PDF]

open access: yes, 2006
The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage ...
Gelhausen, Marc   +2 more
core  

Compact 9dBEs Enable Efficient and Precise Genome Editing in Mammalian Cells and In Vivo

open access: yesAdvanced Science, EarlyView.
As a compact type II‐D system, the Cas9d‐based platform holds great potential for in vivo applications. Through rational engineering, its derived base editors (9dBEs) enable efficient disease modeling while facilitating single‐vector AAV delivery for in vivo genome editing. These miniature tools offer a robust strategy for basic research and biomedical
Qingquan Xiao   +12 more
wiley   +1 more source

Hierarchical Reasoning versus Iterated Reasoning in p-Beauty Contest Guessing Games [PDF]

open access: yes
This paper analyzes strategic choice in p-beauty contests. We first show that it is not generally a best reply to guess the expected target value (accounting for the own weight) even in games with n>2 players and that iterated best response sequences are
Breitmoser, Yves
core  

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

A Modular Variable Stiffness Co‐Bot System Achieving Tasks Flexibility and Contact Compliance

open access: yesAdvanced Science, EarlyView.
Bio‐inspired antagonistic compliance enables a modular rigid‐soft co‐bot platform with variable stiffness for safe human‐robot interaction (HRI): Standardized interfaces support application‐driven configurations with tailored DoFs, workspace, and stiffness range, making the system suited to HRI and low‐volume automation.
Wenlong Gaozhang   +6 more
wiley   +1 more source

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