1,095,524 results match your criteria: "1Folkhälsan Research Center[Affiliation]"

Aims: This study aimed to evaluate the impact of community-based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.

Methods: The study followed a cross-sectional design, conducted online using Google Forms, with ethical approval from Qatar University. A non-probability purposive sampling method was used to recruit dental students and recent graduates from three institutions in India and one in Qatar.

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Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.

Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.

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Validity of one-time phantomless patient-specific quality assurance in proton therapy with regard to the reproducibility of beam delivery.

Med Phys

January 2025

OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.

Background: Patient-specific quality assurance (PSQA) is a crucial yet resource-intensive task in proton therapy, requiring special equipment, expertise and additional beam time. Machine delivery log files contain information about energy, position and monitor units (MU) of all delivered spots, allowing a reconstruction of the applied dose. This raises the prospect of phantomless, log file-based QA (LFQA) as an automated replacement of current phantom-based solutions, provided that such an approach guarantees a comparable level of safety.

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Magnetic resonance imaging (MRI) is frequently used to monitor disease progression in multiple sclerosis (MS). This study aims to systematically evaluate the correlation between MRI measures and histopathological changes, including demyelination, axonal loss, and gliosis, in the central nervous system of MS patients. We systematically reviewed post-mortem histological studies evaluating myelin density, axonal loss, and gliosis using quantitative imaging in MS.

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In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.

J Imaging Inform Med

January 2025

Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.

The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.

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Effect of terahertz radiation on cells and cellular structures.

Front Optoelectron

January 2025

Institute of Physics, Saratov State University, Saratov, 410012, Russia.

The paper presents the results of modern research on the effects of electromagnetic terahertz radiation in the frequency range 0.5-100 THz at different levels of power density and exposure time on the viability of normal and cancer cells. As an accompanying tool for monitoring the effect of radiation on biological cells and tissues, spectroscopic research methods in the terahertz frequency range are described, and attention is focused on the possibility of using the spectra of interstitial water as a marker of pathological processes.

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Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.

Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.

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Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.

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Risk and protective factors of disease flare during pregnancy in systemic lupus erythematosus: a systematic review and meta-analysis.

Clin Rheumatol

January 2025

Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 1 Shuaifuyuan, Beijing, 100730, China.

To synthesize available evidence on predictive factors associated with systemic lupus erythematosus (SLE) flares during pregnancy, we systematically searched MEDLINE, Embase, and the Cochrane Library through January 2024 for observational studies on risk and protective factors of SLE flares during pregnancy. Odds ratios (OR) and mean differences (MD), as well as their 95% confidence intervals (CI) were used to quantify effect sizes. We employed fixed-effect or random-effect models based on heterogeneity assessments (I statistics).

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Usefulness of Novel Image-Enhanced Endoscopy for Predicting Maintenance of Clinical Remission in Ulcerative Colitis.

Dig Dis Sci

January 2025

Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, 260-8670, Japan.

Purpose: The performance of endoscopic evaluation of ulcerative colitis (UC) using conventional scoring, including Mayo endoscopic subscore (MES) and ulcerative colitis endoscopic index of severity (UCEIS), is not satisfactory. Recently, the usefulness of novel image-enhanced endoscopy (IEE) such as texture and color enhancement imaging (TXI) and red dichromatic imaging (RDI) has been reported in the endoscopic evaluation of UC. We evaluated the performance of IEEs in UC, particularly focusing on the correlation with MES and UCEIS, and prediction of relapse.

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Rome Foundation Working Team Report on overlap in disorders of gut-brain interaction.

Nat Rev Gastroenterol Hepatol

January 2025

Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

In patients with disorders of gut-brain interaction (DGBI), overlapping non-gastrointestinal conditions such as fibromyalgia, headaches, gynaecological and urological conditions, sleep disturbances and fatigue are common, as is overlap among DGBI in different regions of the gastrointestinal tract. These overlaps strongly influence patient management and outcome. Shared pathophysiology could explain this scenario, but details are not fully understood.

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Targeted editing of CCL5 with CRISPR-Cas9 nanoparticles enhances breast cancer immunotherapy.

Apoptosis

January 2025

Department of Breast Cancer Surgery, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Key Laboratory of Oncology, No. 519 Beijing East Road, Nanchang, Jiangxi, 330029, China.

Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Immunotherapy, a promising therapeutic approach, often faces challenges due to the immunosuppressive tumor microenvironment. This study explores the innovative use of CRISPR-Cas9 technology in conjunction with FCPCV nanoparticles to target and edit the C-C Motif Chemokine Ligand 5 (CCL5) gene, aiming to improve the efficacy of breast cancer immunotherapy.

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Analysis of the effect of platelet function and different doses of ticagrelor after flow diverter treatment of intracranial aneurysms.

Neurosurg Rev

January 2025

Neurosurgery Center, Department of Cerebrovascular Surgery, Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Ticagrelor has become the standard drug for the treatment of intracranial aneurysms (IAs) with flow diverters (FDs), but the dosage has not been standardized. The effect of platelet function on clinical and imaging prognosis remains unclear. This study aimed to show the effects of different doses of ticagrelor and platelet aggregation function on the clinical and imaging prognosis after FDs treatment of aneurysms.

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Photothermal therapy, in which a laser is an effective tool, is a promising method for cancer treatment. Laser parameters, including power, irradiation time, type of laser radiation (continuous or chopped), and the concentration of the photothermal agent, can affect the efficiency of this method. Therefore, this study investigated and compared the effects of different laser parameters on the efficiency of photothermal treatment for cervical cancer, which is the fourth most prevalent cancer in women.

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The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.

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Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

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The development of high-brightness electron sources is critical to state-of-the-art electron accelerator applications like X-ray free electron laser (XFEL) and ultra-fast electron microscopy. Cesium telluride is chosen as the electron source material for multiple cutting-edge XFEL facilities worldwide. This manuscript presents the first demonstration of the growth of highly crystalized and epitaxial cesium telluride thin films on 4H-SiC and graphene/4H-SiC substrates with ultrasmooth film surfaces.

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Impact of Weak Vibration Generated by a Refrigerator on Protein Aggregation.

AAPS J

January 2025

Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan.

Protein aggregates and particles in biopharmaceuticals can induce adverse immune responses in patients. Thus, suppression of the formation of protein aggregates and particles is important for the successful development of therapeutic proteins. Mechanical stresses, including agitation, are widely recognized as stress factors that generate protein aggregates and particles.

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The Role of Pathogens in Plant Invasion: Accumulation of Local Pathogens Hypothesis.

Microb Ecol

January 2025

State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Beijing, China.

In the past decades, dozens of invasion hypotheses have been proposed to elucidate the invasion mechanisms of exotic species. Among them, the accumulation of local pathogens hypothesis (ALPH) posits that invasive plants can accumulate local generalist pathogens that have more negative effect on native species than on themselves; as a result, invasive plants might gain competitive advantages that eventually lead to their invasion success. However, research on this topic is still quite insufficient.

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In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.

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