Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/nhs.13030 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Corneal Refractive Surgery Considerations in Patients with Anorexia Nervosa.
Clin Ophthalmol
December 2024
Hoopes Vision Research Center, Hoopes Vision, Draper, UT, USA.
Anorexia nervosa (AN) is a psychiatric eating disorder characterized by body mass index (BMI) ≤ 18.5, fear of gaining weight, and a distorted perception of body weight. With increasing rates of myopia, there is a population of patients who concurrently develop AN and may seek corneal refractive surgery.
View Article and Find Full Text PDFCase report: A 51-year-old diabetic patient with primary bilateral macronodular adrenal hyperplasia and primary hyperparathyroidism.
Front Endocrinol (Lausanne)
December 2024
Department of Endocrinology, Chengdu Second People's Hospital, Chengdu, China.
A 51-year-old female patient with diabetes mellitus and hypertension, exhibiting poor control of blood sugar and blood pressure, was unexpectedly found to have multiple large adrenal nodules, excessive cortisol secretion, and adrenocorticotropic hormone inhibition. Cortisol levels remained unresponsive to both low-dose and high-dose dexamethasone tests, leading to a diagnosis of primary bilateral macronodular adrenal hyperplasia. Concurrently, elevated blood calcium and parathyroid hormone levels, along with 99mTc-methoxyisobutyl isonitrile (99mTc-MIBI) imaging revealing increased 99mTc-MIBI uptake in the right inferior parathyroid gland, suggest the consideration of primary hyperparathyroidism.
View Article and Find Full Text PDFPredicting the Performance of Students Using Deep Ensemble Learning.
J Intell
December 2024
School of Computer and Artificial Intelligence, Huaihua University, Huaihua 418000, China.
Universities and schools rely heavily on the ability to forecast student performance, as it enables them to develop efficient strategies for enhancing academic results and averting student attrition. The automation of processes and the management of large datasets generated by technology-enhanced learning tools can facilitate the analysis and processing of these data, which provides crucial insights into the knowledge of students and their engagement with academic endeavors. The method under consideration aims to forecast the academic achievement of students through an ensemble of deep neural networks.
View Article and Find Full Text PDFComputational Characterization of the Structure, Energy, Strengths, and Fracture Resistances of Symmetric Tilt Grain Boundaries in Ice.
ACS Appl Mater Interfaces
December 2024
Department of Aerospace Engineering, Iowa State University, Ames, Iowa 50014, United States.
Using an interatomic potential that can capture the tetrahedral configuration of water molecules (HO) in ice without the need to explicitly track the motion of the O and H atoms, coarse-grained (CG) atomistic simulations are performed here to characterize the structures, energy, cohesive strengths, and fracture resistance of the grain boundaries (GBs) in polycrystalline ice resulting from water freezing. Taking the symmetric tilt grain boundaries (STGBs) with a tilting axis of ⟨0001⟩ as an example, several main findings from our simulations are (i) the GB energy, , exhibits a strong dependence on the GB misorientation angle, θ. The classical Read-Shockley model only predicts the - θ relation reasonably well when θ < 20° or θ > 45° but fails when 20° < θ < 45°; (ii) two "valleys" appear in the -θ landscape.
View Article and Find Full Text PDFA Phase I Dose-Finding Design Incorporating Intra-Patient Dose Escalation.
Pharm Stat
December 2024
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Conventional Phase I trial designs assign a single dose to each patient, necessitating a minimum number of patients per dose to reliably identify the maximum tolerated dose (MTD). However, in many clinical trials, such as those involving pediatric patients or patients with rare cancers, recruiting an adequate number of patients can pose challenges, limiting the applicability of standard trial designs. To address this challenge, we propose a new Phase I dose-finding design, denoted as IP-CRM, that integrates intra-patient dose escalation with the continual reassessment method (CRM).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!