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3D bioheat transfer mapping reveals nanomagnetic particles effectiveness in radiofrequency hyperthermia breast cancer treatment comparing to experimental study

Author(s): Kavousi M; Saadatmand E; Masoumbeigi M; Mahdavi R; Riyahi Alam N;

Radiofrequency (RF) hyperthermia has been widely used for tumor ablation since magnetic-fluid-hyperthermia (MFH) can be utilized for increasing temperature in tumor-region as a complementary-method for hyperthermia. In this study, the effectiveness of using the magnetite-nanoparticles (Fe3O4) in RF hyperthermia for breast cancer (BC) treatment by determin ...

Article GUID: 39557504


Examining Dimensionality and Item-Quality of the Eating Disorder Examination Questionnaire in Individuals With Eating Disorders Using Item Response Theory Analysis

Author(s): Dufour R; Steiger H; Booij L;

Objective: The Eating Disorder Examination Questionnaire (EDE-Q) is a widely-used measure of eating-disorder symptoms. However, inconsistent replication of the subscale structure raises concern about validity. To provide a rigorous test of the EDE-Q's dimensionality and item-quality, we applied modern and classical test theory approaches to data obtai ...

Article GUID: 39548958


Defects in meiosis I contribute to the genesis of androgenetic hydatidiform moles

Author(s): Rezaei M; Liang M; Yalcin Z; Martin JH; Kazemi P; Bareke E; Ge ZJ; Fardaei M; Benadiva C; Hemida R; Hassan A; Maher GJ; Abdalla E; Buckett W; Bolze PA; Sandhu I; Duman O; Agrawal S; Qian J; Vallian Broojeni J; Bhati L; Miron P; Allias F; ...

To identify novel genes responsible for recurrent hydatidiform moles (HMs), we performed exome sequencing on 75 unrelated patients who were negative for mutations in the known genes. We identified biallelic deleterious variants in 6 genes, FOXL2, MAJIN, KASH5, SYCP2, MEIOB, and HFM1, in patients ...

Article GUID: 39545410


Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks

Author(s): Adcock B; Brugiapaglia S; Dexter N; Moraga S;

The past decade has seen increasing interest in applying Deep Learning (DL) to Computational Science and Engineering (CSE). Driven by impressive results in applications such as computer vision, Uncertainty Quantification (UQ), genetics, simulations and image processing, DL is increasingly supplanting classical algorithms, and seems poised to revolutionize ...

Article GUID: 39454372


Identifying personalized barriers for hypertension self-management from TASKS framework

Author(s): Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H;

Objective: Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The objective of this research is to identify and categorize personalized barriers to hypertension self-management ...

Article GUID: 39143621


Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose

Author(s): López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E;

Today, diabetes mellitus is one of the most common diseases that affects the population on a worldwide scale. Patients suffering from this disease are required to control their blood-glucose levels several times a day through invasive methods such as piercing their fingers. Our NaGdF4: 5% Er3+, 3% Nd3+ nanoparticles demonstrate a remarkable ability to det ...

Article GUID: 38729020


Exploring the effects of anthropogenic disturbance on predator inspection activity in Trinidadian guppies

Author(s): Brusseau AJP; Feyten LEA; Crane AL; Brown GE;

No abstract available

Article GUID: 38476138


Dynamics of soil biota and nutrients at varied depths in a Tamarix ramosissima-dominated natural desert ecosystem: Implications for nutrient cycling and desertification management

Author(s): Islam W; Zeng F; Ahmed Dar A; Sohail Yousaf M;

The underground community of soil organisms, known as soil biota, plays a critical role in terrestrial ecosystems. Different ecosystems exhibit varied responses of soil organisms to soil physical and chemical properties (SPCPs). However, our understanding of how soil biota react to different soil depths in naturally established population of salinity tole ...

Article GUID: 38340666


Janus Micromotors for Photophoretic Motion and Photon Upconversion Applications Using a Single Near-Infrared Wavelength

Author(s): Mena-Giraldo P; Kaur M; Maurizio SL; Mandl GA; Capobianco JA;

External stimuli can trigger changes in temperature, concentration, and momentum between micromotors and the medium, causing their propulsion and enabling them to perform different tasks with improved kinetic efficiencies. Light-activated micromotors are attractive systems that achieve improved motion and have the potential for high spatiotemporal control ...

Article GUID: 38197400


Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration

Author(s): Hou D; Zhan D; Wang L; Hassan IG; Sezer N;

Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration methods, they are often deterministic and lack quantified uncertainties. Moreover, the selection of parame ...

Article GUID: 37936825


Enhanced identification of membrane transport proteins: a hybrid approach combining ProtBERT-BFD and convolutional neural networks

Author(s): Ghazikhani H; Butler G;

Transmembrane transport proteins (transporters) play a crucial role in the fundamental cellular processes of all organisms by facilitating the transport of hydrophilic substrates across hydrophobic membranes. Despite the availability of numerous membrane protein sequences, their structures and functions remain largely elusive. Recently, natural language p ...

Article GUID: 37497772


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