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Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances

Author(s): Zhang R; Wang Y; Xie W; Li P; Tan H; Jiang Y;

The use of multiple robots to manufacture composite components represents a critical development direction for fiber placement systems (FPSs). In multi-robotic fiber placement systems (MRFPSs) with heterogeneous mechanical structures, robots collaborate to perform fiber placement tasks. Consequently, robot synchronization emerges as a primary factor in de ...

Article GUID: 40461302


The Effect of the FIFA-11+ ACL Injury Prevention Program on Drop Vertical Jump Biomechanics in Varsity Athletes: A Prospective Observational Cohort Study

Author(s): Cierson T; Zhao K; Belkhelladi M; Babouras A; Jing J; Faith J; Corban J; Martineau PA;

Background: Anterior cruciate ligament (ACL) injuries can pose significant challenges for athletes, leading to significant morbidity, loss of playing time, and impaired performance. Neuromuscular training programs, such as the FIFA 11+, have shown promise in reducing the risk of lower extremity injuries in this high-risk population. Purpose/hypothesis: T ...

Article GUID: 40303320


Strategies to Reduce Uncertainties from the Best Available Physicochemical Parameters Used for Modeling Novel Organophosphate Esters across Multimedia Environments

Author(s): Xing C; Ge J; Chen R; Li S; Wang C; Zhang X; Geng Y; Jones KC; Zhu Y;

Organophosphate esters (OPEs) raise growing environmental and human health concerns globally. However, numerous novel OPEs lack data on physicochemical properties, which are essential for assessing environmental fate, exposure, and risks. This study predicted water solubility (Sw), vapor pressure (Vp), octanol-water partition coefficient (Kow), and octano ...

Article GUID: 40105294


Automated abdominal aortic calcification scoring from vertebral fracture assessment images and fall-associated hospitalisations: the Manitoba Bone Mineral Density Registry

Author(s): Sim M; Gebre AK; Dalla Via J; Reid S; Jozani MJ; Kimelman D; Monchka BA; Gilani SZ; Ilyas Z; Smith C; Suter D; Schousboe JT; Lewis JR; Leslie WD;

Abdominal aortic calcification (AAC), a subclinical measure of cardiovascular disease (CVD) that can be assessed on vertebral fracture assessment (VFA) images during osteoporosis screening, is reported to be a falls risk factor. A limitation to incorporating AAC clinically is that its scoring req ...

Article GUID: 40080298


Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance

Author(s): Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P;

Background: Deciphering variants of uncertain significance (VUS) represents a major diagnostic challenge, partially due to the lack of easy-to-use and versatile cellular readouts that aid the interpretation of pathogenicity and pathophysiology. To address this challenge, we propose a high-through ...

Article GUID: 39920830


Beyond the Illusion of Controlled Environments: How to Embrace Ecological Pertinence in Research?

Author(s): Cassandre Vielle

Through the lens of preclinical research on substance use disorders (SUD), I propose a reflection aimed at re-evaluating animal models in neuroscience, with a focus on ecological relevance. While rodent models have provided valuable insights into the neurobiology of SUD, the field currently faces a validation crisis, with findings often failing to transla ...

Article GUID: 39777969


Long-lasting antimicrobial effect of multipurpose ZnO nanoparticle-loaded dental resins enhanced by blue light photodynamic therapy

Author(s): Leite ML; Comeau P; Zaghwan A; Shen Y; Manso AP;

Objectives: This study aimed to assess the potential of experimental dental resins containing ZnO nanoparticles (ZnO-NPs) for antimicrobial photodynamic therapy (aPDT) as a functional tool for the modulation of cariogenic biofilm in long-term. Methods: Minimum inhibitory and bactericidal concentrations (MIC/MBC) of ZnO-NPs against Streptococcus mutans we ...

Article GUID: 39765362


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


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