Results 171 to 180 of about 7,836,569 (290)

Best Median Unbiased Estimation in Linear Regression with Bounded Asymmetric Loss Functions

We first show that the Generalized Least Squares estimator is the best median unbiased estimator of the regression parameters for quite general loss functions, when the parameter space is unrestricted.
Peter C.B. Phillips, Donald W.K. Andrews
core  

Comparative Analysis of Al2O3/Water–TiO2/Chlorophyll Hybrid Nanofluids in a Photovoltaic–Thermal Solar Water Heating System

Energy Science &Engineering, EarlyView.
TiO2/chlorophyll bio‐hybrid nanofluid achieved the highest PVT performance, increasing thermal efficiency to 38.74% and overall efficiency to 51.35%, compared with 35.96% and 48.45% for Al2O3/water and 27.77% and 40.18% for water. The results demonstrate the potential of bio‐hybrid nanofluids for high‐efficiency solar thermal energy conversion ...
Oluwaseyi Omotayo Alabi, Oluwatoyin Joseph Gbadeyan, Oludolapo Akanni Olanrewaju   +2 more
wiley   +1 more source

A new framework for facial age estimation in humans and AIs. [PDF]

Sci Rep
Ganel T, Mazuz Y, Algom D, Goodale MA.
europepmc   +1 more source

Validation of a handheld smartphone markerless method for quantifying thoracolumbar flexion–extension range of motion in horses at trot

Equine Veterinary Journal, EarlyView.
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen, Karsten Key   +5 more
wiley   +1 more source

Representations of best linear unbiased estimators in the Gauss-Markoff model with a singular dispersion matrix

In the general Gauss-Markoff model (Y, X[beta], [sigma]2V), when V is singular, there exist linear functions of Y which vanish with probability 1 imposing some restrictions on Y as well as on the unknown [beta].
Rao, C. Radhakrishna
core  

Micro/Nanostructured Materials and Microfluidic Diagnostic Platforms Enable Multimodal Detection of Circulating Tumor Cells

Exploration, EarlyView.
Engineered micro/nanomaterials enable high‐efficiency CTC capture, release, and multimodal molecular profiling. Integrated with AI‐driven analytics, these platforms decode tumor heterogeneity and metastatic dynamics, advancing real‐time monitoring and precision oncology through DNA, RNA, and protein cross‐scale data fusion.
Hao Li, Jiaojiao Sun, Kunguo Liu, Shijie Wang, Bowen Fu, Hong Zhu, Peng Cao, Xin Han   +7 more
wiley   +1 more source

Genomic selection improves survival time under high ammonia nitrogen stress in Litopenaeus vannamei. [PDF]

Genet Sel Evol
Fu S, Zhang Y, Wu G, Guo C, Liu J.
europepmc   +1 more source

RSM–ANFIS‐Based Process Optimization of Thermo‐Sonication of Amla Juice: Effect on Enzyme Inactivation, Physico‐Chemical, Phytochemical, Sensory, and Microbiological Quality

Food Chemistry International, EarlyView.
Thermo‐sonication parameters were optimized to maximize PPO inactivation while maintaining overall juice quality. ANFIS demonstrated superior predictive accuracy with higher R2 and lower RMSE compared to RSM. Further, the quality assessment of treated juice highlighted the potential of thermo‐sonication as a sustainable alternative to conventional ...
Sumaiya Fatima, Vivek Kumar
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Accuracy of genomic prediction for milk production traits in Mehsana buffalo. [PDF]

Front Genet
Patel MR, Patel AC, Joshi RS, Patel DV, Nayee N, Sudhakar A, Jakhesara SJ, Koringa PG.   +7 more
europepmc   +1 more source