Results 161 to 170 of about 61,713 (310)

Integrative transcriptomic and machine learning approaches reveal candidate genes for silk and venom production in Bibionomorpha (Diptera)

open access: yesInsect Molecular Biology, EarlyView.
Multi‐species transcriptomics and deep learning identified candidate genes associated with silk and venom production in Bibionomorpha. Venom‐associated genes were enriched in proteases, inhibitors and pore‐forming proteins, whereas silk‐related genes showed chitin‐binding and peritrophin domains. Integrating co‐expression networks, machine learning and
Daniel Kenji Matuo   +2 more
wiley   +1 more source

Experimental study and thermodynamic modelling of the Nb-Sb system. [PDF]

open access: yesRSC Adv
Brož P   +7 more
europepmc   +1 more source

How to Demonstrate Trustworthy Use of AI in Public Services: A Case Study

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Government leaders across the globe are grappling with how to harness and integrate artificial intelligence (AI) to enhance public service delivery and efficiency. Yet, a key challenge faced is how to build and maintain the trust of stakeholders. Trust is critical for the acceptance and sustained adoption of AI technologies, as well as to gain
Natalie Smith   +5 more
wiley   +1 more source

Climate‐Neutrality Transition and Banks' Loan Pricing

open access: yesJournal of Financial Research, EarlyView.
Abstract In this paper, we propose a novel methodology to quantify firms' climate‐change transition risk (CCTR) and its implications for credit markets. We utilize the regulatory framework of the European Green Deal's 2050 carbon neutrality roadmap, focusing on large Eurozone firms and their banking relationships.
Evangelos Salachas   +2 more
wiley   +1 more source

Predicting Malignant Transformation in Oral Epithelial Dysplasia: A Systematic Comparison of Artificial Intelligence‐Based Risk Models and Pathologist‐Based Microscopy

open access: yesJournal of Oral Pathology &Medicine, EarlyView.
ABSTRACT Background/Aims Risk prediction models (RPMs) based on histopathological analysis of oral epithelial dysplasia (OED) are increasingly used to stratify patients with oral potentially malignant disorders (OPMDs) and support personalized management.
Diele Carine Barreto Arantes   +4 more
wiley   +1 more source

Marginal gap of printed, milled, and heat‐pressed two‐piece polyetheretherketone abutments before and after thermal cycling, and their pull‐off bond strength after thermal cycling

open access: yesJournal of Prosthodontics, EarlyView.
Abstract Purpose To evaluate the marginal gap of two‐piece polyetheretherketone (PEEK) abutments fabricated with different methods, before and after thermal cycling, while also focusing on their pull‐off bond strength. Materials and Methods A two‐piece abutment was virtually designed after digitizing a titanium‐base (Ti‐base) abutment.
Almira Ada Diken Türksayar   +6 more
wiley   +1 more source

Surface roughness, stainability, and translucency of an additively manufactured interim resin reinforced with a commercially available ceramic composite concentrate after coffee thermal cycling

open access: yesJournal of Prosthodontics, EarlyView.
Abstract Purpose To compare the surface roughness (Ra), stainability, and translucency of a ceramic composite concentrate‐reinforced interim resin with its corresponding non‐reinforced formulation and with a ceramic‐filled resin indicated for definitive use after coffee thermal cycling.
Mustafa Borga Donmez   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy