Publications by authors named "Papp L"

Article Synopsis
  • Radical prostatectomy (RP) is a standard treatment for localized prostate cancer, but accurately detecting extraprostatic extension (EPE) before surgery is difficult, which can lead to suboptimal treatments.
  • This study explores using explainable machine learning to improve EPE detection by analyzing data from newly diagnosed prostate cancer patients who underwent PET/MRI imaging and subsequent surgery.
  • The results showed machine learning models outperformed traditional imaging methods in predicting EPE, which could lead to better clinical decision-making and improved patient outcomes.
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Article Synopsis
  • This study looked at how to better grade prostate cancer using a new machine learning model that combines different types of medical data.
  • They analyzed information from 146 patients who had specific imaging tests before surgery and created five different models to see which worked best.
  • The best model, called the random forest model, outperformed the usual grading method, helping doctors find patients at higher risk for more personalized treatment.
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Background: Limited prior research to examine co-occurrence of prescription drug misuse with other substances among young adults has documented outcomes that are more problematic for those with higher rates of co-ingesting alcohol. There is a need to understand how college students in this period of heightened risk use other salient substances in moments of their prescription misuse in daily life.

Method: Young-adult college students who engaged in recent prescription misuse ( = 297) completed ecological momentary assessment (EMA) over a 28-day period, resulting in 23,578 reports.

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The role of model organisms such as yeasts in life science research is crucial. Although the baker's yeast () is the most popular model among yeasts, the contribution of the fission yeasts () to life science is also indisputable. Since both types of yeasts share several thousands of common orthologous genes with humans, they provide a simple research platform to investigate many fundamental molecular mechanisms and functions, thereby contributing to the understanding of the background of human diseases.

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In this study, we examined over 200-year-old L. specimens under different environmental conditions. The overall aim was to explore which factors influence their vitality and general fitness in urban environments and thus their ability to tolerate stressful habitats.

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The primate brain is a densely interconnected organ whose function is best understood by recording from the entire structure in parallel, rather than parts of it in sequence. However, available methods either have limited temporal resolution (functional magnetic resonance imaging), limited spatial resolution (macroscopic electroencephalography), or a limited field of view (microscopic electrophysiology). To address this need, we developed a volumetric, mesoscopic recording approach ( ) by tessellating the volume of a monkey hemisphere with 992 electrode contacts that were distributed across 62 chronically implanted multi-electrode shafts.

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Objective: This retrospective study aimed to establish a robust rating system for assessing post-operative outcomes in congenital aural atresia patients undergoing auricular reconstruction. The newly introduced EAR scale, a weighted grading system, not only considers anatomical landmarks but also factors such as ear alignment. In addition, the outer-ear cartilage scale and the visual analogue scale (VAS) were introduced.

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Purpose: To improve reproducibility and predictive performance of PET radiomic features in multicentric studies by cycle-consistent generative adversarial network (GAN) harmonization approaches.

Methods: GAN-harmonization was developed to harmonize whole-body PET scans to perform image style and texture translation between different centers and scanners. GAN-harmonization was evaluated by application to two retrospectively collected open datasets and different tasks.

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This comprehensive review explores the utilization of chiral stationary phases (CSPs) in the context of single-column simultaneous chiral-achiral high-performance liquid chromatography (HPLC) separation methods. While CSPs have traditionally been pivotal for enantioselective drug analysis, contemporary CSPs often exhibit notable chemoselective properties. Consequently, there is a discernible trend towards the development of methodologies that enable simultaneous enantio- and chemoselective separations utilizing a single CSP-based chromatographic column.

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The COVID-19 pandemic introduced fundamental challenges to nearly all aspects of college students' lives, yet changes in key domains of their health, including weight concerns, remain untested. The current study utilized a longitudinal project comprised of 355 young-adult college students (M=19.5, 66.

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Background: College students' mental health has been a vital concern for researchers, policymakers, administrators, and educators since before the pandemic, and it is crucial to identify the extent to which the pandemic affected college students' mental health.

Methods: The current study utilized data repeatedly collected over more than four years (2017-2022) from N = 355 students enrolled at a large public research university in the Midwestern US. The data collection period coincided with the COVID-19 pandemic's onset, facilitating systematic examination of whether and how college students' trajectories (i.

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Introduction: Within two-parent households, the parent-couple subsystem (marital or romantic partner relationship) is posited to shape the mental health of both parents and children. Autistic children and their parents have an elevated-risk for mental health problems. The present study longitudinally examined the mediating role of the quality of the parent-couple relationship in time-ordered pathways between changes in the mental health problems of autistic children and in parent depression symptoms at a within-family level.

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Background Ultrasound (US) monitoring of arteriovenous fistulas (AVFs) presents contradictory findings. These differences may be attributed to variances in the chosen surveillance strategy, the specific type of fistula being monitored, and the precise technique used for ultrasound scanning. In this study, we are trying to assess the benefits and cost-effectiveness of US scanning of AVF.

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Background: Research has established associations between romantic partners' health-related behaviors, although links between partners' experiences of the COVID-19 pandemic at the time of an important medical event remain untested.

Methods: The sample was drawn from an existing study of patients who received a new opioid prescription at an emergency department visit for acute pain. We assessed COVID-19 experiences of 97 patients and their romantic partners from April 2021 through June 2022.

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Using native species for urban green space is rather important nowadays. Plant cover on soil is necessary for agronomical and architectural investments as well as conservational programs, which all need minimal maintenance and have to be cost efficient. Commercially available seed mixtures for grasslands and lawns include species that partly originated from other mesoclimatic zones, and thus they may not be able to survive in the long-term, nor will they be adventive to the local ecosystem.

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Functional imaging with prostate-specific membrane antigen (PSMA) ligands has emerged as the standard imaging method for prostate cancer (PCA). In parallel, the analysis of blood-derived, cell-free DNA (cfDNA) has been shown to be a promising quantitative biomarker of PCA aggressiveness and patient outcome. This study aimed to evaluate the relationship and prognostic value of cfDNA concentrations and the PSMA-positive tumor volume (PSMA-TV) in men with PCA undergoing [Ga]Ga-PSMA-11 PET/CT imaging.

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The development of a volunteer emergency response team is an effective method to mitigate the negative impacts and improve outcomes of health emergencies in faith communities and is supported by faith community nursing scope and standards of professional practice. Conducting simulated emergency drills with a core team of volunteers within one parish supported the confidence and comfort levels of the multidisciplinary group of volunteers, led by a nurse. Simulation and debriefing increased team members' preparedness for physical and mental health emergencies.

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Prescription drug misuse (PDM) is a mounting public health concern in the U.S., particularly among college students.

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Nuclear imaging techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT) in combination with computed tomography (CT) are established imaging modalities in clinical practice, particularly for oncological problems. Due to a multitude of manufacturers, different measurement protocols, local demographic or clinical workflow variations as well as various available reconstruction and analysis software, very heterogeneous datasets are generated. This review article examines the current state of interoperability and harmonisation of image data and related clinical data in the field of nuclear medicine.

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The existing plant trait databases' applicability is limited for studies dealing with the flora and vegetation of the eastern and central part of Europe and for large-scale comparisons across regions, mostly because their geographical data coverage is limited and they incorporate records from several different sources, often from regions with markedly different climatic conditions. These problems motivated the compilation of a regional dataset for the flora of the Pannonian region (Eastern Central Europe). PADAPT, the Pannonian Dataset of Plant Traits relies on regional data sources and collates data on 54 traits and attributes of the plant species of the Pannonian region.

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Objectives: The present study examined the measurement invariance of the Symbolic Racism Scale (SRS) and the Modern Sexism Scale (MSS) across racial/ethnic and gender groups. Previous psychometric evaluations of the SRS and MSS scores have not examined the equivalence across racial/ethnic and gender groups or have been otherwise statistically inadequate. Therefore, this study sought to fill this gap.

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College students' stress levels, coping strategies, and sleep quality are important indicators of functioning and further predict their health and well-being. The current study utilises data repeatedly collected over more than 4 years from students enroled at a large public research university in the Midwestern US. Our data collection period coincided with the COVID-19 pandemic's onset, facilitating systematic examination of whether and how college students' trajectories (i.

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Modern artificial intelligence (AI) approaches mainly rely on neural network (NN) or deep NN methodologies. However, these approaches require large amounts of data to train, given, that the number of their trainable parameters has a polynomial relationship to their neuron counts. This property renders deep NNs challenging to apply in fields operating with small, albeit representative datasets such as healthcare.

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The chiral separation capability of Chiral-CD-Ph column, containing phenylcarbamate-β-cyclodextrin as the chiral selector in polar organic mode was investigated. A total of twenty-five compounds with different structures and acid-base properties were evaluated, and twenty of them were separated using acetonitrile or methanol as eluent. The effects of various chromatographic parameters, such as the type and proportion of organic modifier, flow rate, and column temperature were analyzed in detail in relation to chromatographic performance.

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