Results 51 to 60 of about 4,914 (220)

U.S. Consumer Preferences for Cage‐Free Eggs and Hen Housing Policies

Agribusiness, EarlyView.
ABSTRACT Farm animal welfare (FAW) continues to be a divisive issue in the egg industry. In the United States, 10 states and most major retailers have implemented policies or voluntary pledges to transition to 100% cage‐free egg sales. We use best‐worst scaling and discrete choice experiments to evaluate U.S.
Vincenzina Caputo, Aaron J. Staples, Jayson L. Lusk, Glynn T. Tonsor   +3 more
wiley   +1 more source

Creating Shared Value as an Antecedent of Value Co‐Creation: B2B Relationships in the Agri‐Food Sector

Agribusiness, EarlyView.
ABSTRACT This study analyzes the effects of value co‐creation and creation of shared value in agricultural input marketing. This study used a sample of 178 agricultural companies in Costa Rica. The data were analyzed using partial least squares structural equation modeling (PLS‐SEM) with SMART PLS software. Our findings reveal the significant influence
Luis Ricardo Solís‐Rivera, Marcelo Royo‐Vela   +1 more
wiley   +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

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Olfactory Bulb Volume Reflects Olfactory Dysfunction and Network Organization: Insights From the Population‐Based Rhineland Study

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng, Konstantinos Melas, Santiago Estrada, N. Ahmad Aziz, Monique M. B. Breteler   +4 more
wiley   +1 more source

Effect of Laser Posterior Nasal Neurolysis for the Treatment of Chronic Rhinitis: A Randomized Controlled Trial

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background To determine the safety and efficacy of laser ablation of the posterior nasal nerve (PNN) for the treatment of chronic rhinitis. Methods This study was a single‐center, prospective, single‐blinded, randomized sham‐controlled trial. Patients with a 24‐h reflective Total Nasal Symptom Score (rTNSS) ≧ 5, rhinorrhea ≧ 2, and congestion ≧
Jyun‐Yi Liao, En‐Ying Wang, Ying‐Shuo Hsu, Ming‐Shao Tsai, Cheng‐Jung Wu, Chia‐Hao Chang, Yi‐Li Hwang, Han‐Lo Teng, Jun‐Wei Hsieh, Chien‐Yu Huang   +9 more
wiley   +1 more source

Probabilistic Lesion Mapping to Optimize Thalamotomy Targets for Focal Hand Dystonia

Annals of Neurology, EarlyView.
Objective Focal hand dystonia (FHD) severely impairs task‐specific motor control, yet the optimal surgical target for stereotactic intervention remains uncertain. This study aimed to identify the precise thalamic lesion site associated with symptomatic improvement and to clarify its network connectivity. Methods We retrospectively analyzed 164 patients
Masahiko Nishitani, Shiro Horisawa, Konstantin Butenko, Hiroki Togo, Arun Garimella, William Drew, Melissa Chua, Esraa Shaban, Takakazu Kawamata, Takaomi Taira, Andreas Horn, Michael D. Fox, Takashi Hanakawa   +12 more
wiley   +1 more source

Rumba : a Python framework for automating large-scale recursive internet experiments on GENI and FIRE+ [PDF]

, 2018
It is not easy to design and run Convolutional Neural Networks (CNNs) due to: 1) finding the optimal number of filters (i.e., the width) at each layer is tricky, given an architecture; and 2) the computational intensity of CNNs impedes the deployment on ...
Ding, Guiguang, Ding, Xiaohan, Guo, Yuchen, Han, Jungong, Yan, Chenggang   +4 more
core   +2 more sources

Prediction of Relapse and Glucocorticoid Dependence in Eosinophilic Granulomatosis With Polyangiitis: Findings From a Large European Cohort

Arthritis &Rheumatology, EarlyView.
Objective Eosinophilic granulomatosis with polyangiitis (EGPA) is a small vessel vasculitis characterized by eosinophilia, asthma, and ear, nose, and throat (ENT) involvement. Although glucocorticoids (GCs) are effective in controlling symptoms, relapses and GC dependence are common. The aim of this study was to develop predictive models for vasculitis
Matthias Papo, Pauline Martinot, Renato A. Sinico, Vítor Silvestre‐Teixeira, Nils Venhoff, Maria‐Letizia Urban, Michele Iudici, Juliane Mahrhold, Francesco Locatelli, Giulia Cassone, Franco Schiavon, Benjamin Seeliger, Thomas Neumann, Claudia Feder, Matthieu Groh, Chiara Marvisi, Maxime Samson, Thomas Barba, David Jayne, Arianna Troilo, Jens Thiel, Bernhard Hellmich, Sara Monti, Carlomaurizio Montecucco, Carlo Salvarani, Jean‐Emmanuel Kahn, Bernard Bonnotte, Cécile‐Audrey Durel, Xavier Puéchal, Luc Mouthon, Loïc Guillevin, Giacomo Emmi, Augusto Vaglio, Raphaël Porcher, Benjamin Terrier, on behalf of the French Vasculitis Study Group and the Eosinophilic Granulomatosis with Polyangiitis European Study Group   +35 more
wiley   +1 more source