Results 61 to 70 of about 35,671 (228)
Indonesian Crude Oil Price (ICP) Prediction Using Support Vector Regression Algorithm
Indonesian crude oil prices (ICP) experience fluctuating movements, influenced by several factors and other conditions that make ICP prices difficult to predict. ICP price prediction can be done with the Support Vector Regression (SVR) method.
Des Suryani, Mutia Fadhila
doaj +1 more source
Curcumin encapsulation in nanomicelles coupled with a machine learning–guided model for predicting its release profile. ABSTRACT This work, leveraging machine‐learning algorithms, focuses on the design and in vitro evaluation of oil‐in‐water surfactant‐based nanomicelles as a novel curcumin formulation with comparable cytotoxic effects against MCF‐7 ...
Abbas Rahdar +3 more
wiley +1 more source
Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira +7 more
wiley +1 more source
This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm).
Adnan Adnan +6 more
doaj +1 more source
Abstract Lateral hinge fracture is a frequent complication of medial opening‐wedge high tibial osteotomy. Previous strategies—such as inserting an additional third Kirschner wire (K‐wire) from the lateral tibial cortex—reinforce the lateral cortex but do not address the potential fracture line that propagates proximally toward the tibial plateau and ...
Luis García Bordes +6 more
wiley +1 more source
ABSTRACT There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost‐efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to
Samuele Fiorenza +5 more
wiley +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Machine learning‐assisted clone selection for intensified cell culture processes
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick +6 more
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
In India, it is estimated that 10–24 million people are living with active HCV infection, with a seroprevalence of 0.09% to 2.02% among the healthy population.
Astha +5 more
doaj +1 more source

