Buscador de Tesis y publicaciones académicas

Correlation of MTHFR (methylenetetrahydrofolatereductase) gen polymorphism, folate and neonatalhyperbilirubinemia

Zhen, Zhang · Weifeng, Bai · Youhong, Duan · Haitao, Liu · y 1 más

Objective. Investigate the distribution of methylenetetrahydrofolate reductase (MTHFR) genotypes in newborns with hyperbilirubinemia and explore their correlation with folate concentration and bilirubin elevation. Methods. Neonates with hyperbilirubinemia were categorized into mild, moderate, and severe elevation group...

A user-friendly strategy to engineer tailored intermediate strains for overcoming combined type I and type II restriction-modification barriers in Staphylococcus aureus

Yang Zheng · Chao Li · Xinqi Huang · Xinyi Shou · y 7 más

A significant proportion of Staphylococcus aureus clinical isolates are refractory to plasmid transformation due to the combined action of type I and type II restriction-modification (RM) systems. Current strategies often depend on specialized engineered strains and may require sequence modifications if foreign DNA har...

The Jurassic-Cretaceous transition in west-central Argentina: New biostratigraphic data for its definition

Verónica V. Vennari · Marina A. Lescano · Luciana S. Marin · Beatriz Aguirre-Urreta · y 3 más

This study presents a revised biostratigraphic framework for the Tithonian–Berriasian transition in the Vaca Muerta Formation (Neuquén Basin, Argentina), based on ammonite high-resolution data from the Las Loicas and Las Alcantarillas sections. New ammonite identifications enhance the correlation of the J/K boundary be...

What are we measuring when we measure attractiveness?

Eugen Wassiliwizky

Facial attractiveness ratings are widely used as indicators of mate value and sexual preference in evolutionary aesthetics. Yet recent large-scale evidence reveals a robust Gender Attractiveness Gap (GAP): female faces are rated as more attractive than male faces across cultures, sexual orientations, age groups, and me...

An energy-boosting hydrogel couples magnetoelectrical stimulation and metabolic support for enhanced spinal cord regeneration

Jie Zhang · Kunkoo Kim · Yaosai Liu · Chao Ma · y 10 más

Spinal cord injury (SCI) disrupts both neural and vascular networks, leading to a dual deficiency of bioelectric and biochemical energy that severely impedes neuroregeneration. To address this challenge, we developed an energy-boosting hydrogel that integrates biosafe electrical stimulation with a sustained-release bio...

A deep learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC

Alessandro Longhi · Danny Lathouwers · Zoltán Perkó

Integral codes like the Accident Source Term Evaluation Code (ASTEC) are powerful tools to study the physics of Severe Accidents (SAs) in nuclear reactors. Real time SA simulators can also be helpful in training operators of nuclear plants to react correctly to malfunctions. However, SA simulators can take up to severa...

Parameter estimation of incomplete gamma subordinators

Meena Sanjay Babulal · Sunil Kumar Gauttam · Aditya Maheshwari

In this paper, we estimate the parameters of InG, InG-$ε$ and TInG subordinators which have been studied by Babulal \textit{et al} (see \cite{babulal}). We have modified the method of moments technique to use fractional moments of the InG and InG-$ε$ subordinator due to their infinite moments. For the TInG subordinator...

The pore radius propagation approach: computational characterization of pore structures in granular media

Yan, Wei · Sang, Qiaozhi · Birle, Emanuel · Cudmani, Roberto

DAE-aware Bayesian inference for joint generator-network parameter estimation

Abdallah Alalem Albustami · Ahmad F. Taha · Sankaran Mahadevan

This paper addresses the classic problem of parameter estimation (PE) in multimachine power system models. Such models are typically described by a set of nonlinear differential-algebraic equations (DAE), where generator physics and network power flow equations are coupled. DAE models are well established in classic po...

Constructing deployment scenarios for reserve deliverability via adaptive robust optimization

Guillaume Van Caelenberg · Akylas Stratigakos · Elina Spyrou

Network congestion often hinders the deployment of reserves needed to balance forecast errors during real-time operations. A pertinent idea to tackle this challenge involves adding deployment scenarios of spatial distributions of forecast errors as contingencies to the day-ahead problem. However, current approaches dis...