Results 91 to 100 of about 88,806 (281)

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

open access: yesAnimal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang   +3 more
wiley   +1 more source

New analytic approach to address Put - Call parity violation due to discrete dividends [PDF]

open access: yes, 2014
The issue of developing simple Black-Scholes type approximations for pricing European options with large discrete dividends was popular since early 2000's with a few different approaches reported during the last 10 years.
Buryak, Alexander, Guo, Ivan
core  

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller   +4 more
wiley   +1 more source

Improved projective covering method for fractal dimensions of rock discontinuities based on stochastic analysis

open access: yes工程科学学报, 2018
The strength, deformability, and flow properties of rock discontinuities are strongly affected by the surface characteristics. Therefore, a quantitative description of the topography of the discontinuities is very important.
CHEN Shi-jiang   +4 more
doaj   +1 more source

Correcting Errors in the Adsorbed Intermediates of CO2 Electroreduction

open access: yesCarbon Energy, EarlyView.
Flying over Jacob's ladder of density functional approximations: chemical accuracy in the DFT‐based modeling of CO2 reduction electrocatalysis can be approached with our simple semiempirical method to deconvolute and correct gas‐phase errors and adsorbed‐phase errors.
Ricardo Urrego‐Ortiz   +5 more
wiley   +1 more source

Trends in marine species distribution models: a review of methodological advances and future challenges

open access: yesEcography, EarlyView.
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen   +3 more
wiley   +1 more source

Digitizing the Neveu-Schwarz Model on the Lightcone Worldsheet

open access: yes, 2010
The purpose of this article is to extend the lightcone worldsheet lattice description of string theory to include the Neveu-Schwarz model. We model each component of the fermionic worldsheet field by a critical Ising model.
Thorn, Charles B.
core   +1 more source

Two‐Dimensional Piezoelectric Nanomaterials for Nanoelectronics and Energy Harvesting

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Two‐Dimensional Piezoelectric Nanomaterials from properties to applications. Smart materials, especially piezoelectric materials, have gained popularity over the last two decades. Two‐dimensional (2D) piezoelectric materials exhibit attributes including great flexibility, ease of workability, extensive surface area, and many active sites, indicating ...
Yujun Cao   +12 more
wiley   +1 more source

Yoked surface codes

open access: yesNature Communications
One of the biggest obstacles to building a large scale quantum computer is the high qubit cost of protecting quantum information. For two-dimensional architectures, the surface code has long been the leading candidate quantum memory, but can require ...
Craig Gidney   +3 more
doaj   +1 more source

Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial‐Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops eco‐friendly two‐dimensional nanoparticle‐enhanced phase change materials (2D NePCMs) using biodegradable beeswax infused with rGO, GO, and MXene nanoparticles. Experimental results demonstrated up to 21.9% enhancement in thermal conductivity with minimal latent heat loss, while machine learning models achieved >95% predictive ...
Abdullah Aziz   +3 more
wiley   +1 more source

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