Results 111 to 120 of about 7,287 (192)

CT-based texture analysis predicts BRAF^V600E mutation in calcified papillary thyroid carcinoma. [PDF]

Front Oncol
Chen Y, Cao W, Li H, Chen S, Zhang L, Zhang H, Tong Y.   +6 more
europepmc   +1 more source

Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich, Tim Ölkers, Vanessa Bonke, Oliver Musshoff   +3 more
wiley   +1 more source

Big data-driven establishment and bias comparison of serum ferritin reference intervals in Zhejiang Chinese adults using six algorithms. [PDF]

Sci Rep
Qi X, Chen P, Li Y, Fan L, Yang D.
europepmc   +1 more source

Food Tastes in the United States: Convergence or Divergence?

Agribusiness, EarlyView.
ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley   +1 more source

Adulteration Detection of Multi-Species Vegetable Oils in Camellia Oil Using SICRIT-HRMS and Machine Learning Methods. [PDF]

Foods
Wang M, Liu T, Liao H, Liu XB, Zou Q, Liu HC, Wang XY.   +6 more
europepmc   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

AIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi, Tomoyuki Yajima, Yoshiaki Kawajiri   +2 more
wiley   +1 more source

Computer-Aided Diagnosis of Equine Temporomandibular Joint Osteoarthritis Using Machine Learning Integrating Computed Tomography Findings and Synovial Fluid Biomarkers. [PDF]

Animals (Basel)
Jasiński T, Borowska M, Juszczuk-Kubiak E, Turek B, Kaczorowski M, Bąk M, Żuk J, Domino M.   +7 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Path Optimization for Cluster Order Picking in Warehouse Robotics Using Hybrid Symbolic Control and Bio-Inspired Metaheuristic Approaches. [PDF]

Biomimetics (Basel)
Özbaltan M, Çaşka S, Yıldırım M, Şeker C, Aysal FE, Bıçakcı Yeşilkaya HS, Demir M, Kuzu E.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source