ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Positive Organisational Arts-Based Youth Scholarship: Redressing Discourse on Danger, Disquiet, and Distress during COVID-19

This methodological article argues for the potential of positive organisational arts-based youth scholarship as a methodology to understand and promote positive experiences among young people. With reference to COVID-19, exemplars sourced from social media platforms and relevant organisations demonstrate the remarkable creative brilliance of young people. During these difficult times, young people used song, dance, storytelling, and art to express themselves, (re)connect with others, champion social change, and promote health and wellbeing. This article demonstrates the power of positive organisational arts-based youth scholarship to understand how young people use art to redress negativity via a positive lens of agency, peace, collectedness, and calm.
Milli-Hertz Frequency Tuning Architecture Toward High Repeatable Micromachined Axi-Symmetry Gyroscopes

Axi- symmetry micro gyroscopes are increasingly popular for their ultrahigh measurement sensitivity. However, a side effect is the bias repeatability problem. In this article, we propose and demonstrate an ultraprecise frequency tuning solution to achieve state-of-the-art repeatability performance. The gyroscope dynamics are first analyzed and the major error source is confirmed as the frequency split. Then, an advanced frequency tracker and a precision tuning architecture are developed to improve the bias repeatability. The experimental results prove that the frequency tracker can identify the frequency splits at the mHz level. Consequently, a state-of-the-art turn -ON to turn -ON bias repeatability of 3.6(?)/h is conducted that shows orders of magnitude better than conventional solutions.
Characterization of baseline clinical factors associated with incident worsening kidney function in patients with non-valvular atrial fibrillation: the Hokuriku-Plus AF Registry

Evidence suggests that atrial fibrillation (AF) could increase the risk of worsening kidney function (WKF) which is linked to an increased risk of stroke, bleeding, and death in AF patients. However, limited data exist regarding the factors that could lead to WKF in these patients. Therefore, we sought to identify the potential factors associated with the development of WKF in patients with non-valvular AF (NVAF). We analyzed prospectively recruited 1122 NVAF patients [men 71.9%, median age 73.0 years (interquartile range: 66.0-79.0)] with a baseline estimated glomerular filtration rate (eGFR) ≥ 15 mL/min/1.73 m2 from the Hokuriku-Plus AF Registry. The primary outcome was incident WKF, defined as the %eGFR change from the baseline ≥ 30% during the follow-up period. We evaluated the association between baseline variables and incident WKF using univariate and multivariate Cox proportional hazard models. We also evaluated the non-linear association between the identified factors and incident WKF. During a median follow-up period of 3.0 years (interquartile range: 2.7-3.3), incident WKF was observed in 108 patients (32.6 per 1000 person-years). Compared to the patients without incident WKF, the patients with incident WKF were older and had a higher prevalence of heart failure (HF), diabetes mellitus (DM), and vascular disease at baseline. Those who experienced incident WKF also had higher diastolic blood pressure, lower hemoglobin, lower eGFR, higher B-type natriuretic peptide (BNP) and used warfarin more frequently. Upon multivariate analysis, age ≥ 75 years, HF, DM, and anemia were independently associated with incident WKF. Additionally, age and hemoglobin were linearly associated with the risk of incident WKF, whereas a J- or U-shaped association was observed for HbA1c and BNP. Age ≥ 75 years, HF, DM, and anemia were associated with the development of WKF in Japanese patients with NVAF. In patients with these risk factors, a careful monitoring of the kidney function and appropriate interventions may be important when possible.
Forest access restores foraging and ranging behavior in captive sifakas

Captive wildlife benefit from ecologically informed management strategies that promote natural behaviors. The Duke Lemur Center has pioneered husbandry programs rooted in species' ecology for a diversity of lemurs, including housing social groups in multiacre forest enclosures. We systematically document the foraging and ranging patterns of Coquerel's sifakas (Propithecus coquereli) living in these forest enclosures. Coquerel's sifakas are seasonal frugo-folivores that exhibit striking feeding flexibility in the wild. They are also one of the few members of the Indriidae family to persist in captivity. During all-day follows in the spring and summer of 2 consecutive years, we tracked the behavior of 14 sifakas in six forest enclosures. The sifakas' ranging and foraging patterns reflected those of wild sifakas in western Madagascar: On average, DLC sifakas occupied 3-day home ranges of 1.2 ha, traveled 473 m/day, and spent 26% of their time foraging for wild foodstuffs. The sifakas foraged most for young and mature leaves, fruits, nuts, and flowers from 39 plant species, especially red maple (Acer rubrum), tulip poplar (Liriodendron tulipifera), black locust (Robinia pseudoacacia), grapevine (Vitis rotundifolia), hickory (Carya spp.), and white oak (Quercus alba). Foraging patterns varied across seasons, enclosure areas, and groups, potentially reflecting differences in phenology, microhabitats, and individual preferences. While demonstrating that captive-bred primates express wild-like behaviors under ecologically relevant conditions, our results underscore the feeding flexibility of the Coquerel's sifaka. Captive wildlife exhibiting the range of species-specific behaviors are key resources for ecological research and might be best suited for future reintroductions.
Crystal structure determination, molecular docking and dynamics of arylidene cyanoacetates as potential JNK-3 inhibitors for Ischemia reperfusion injury

Ischemia reperfusion injury is a cardiovascular condition which causes hypoxia by means of obstruction of arterial blood flow eventually leads to reduced synthesis of adenosine tri-phosphate in the mitochondria. c-Jun N-terminal kinase-3 are related to several cascade of events like apoptosis, oxidative stress and mitochondrial dysfunction which can be further related to Ischemia-reperfusion injury. The present study was aimed at determining crystal structure of the ligand by x-ray methods and to perform molecular docking and molecular dynamics studies of the arylidene cyano-acetates with c-Jun N-terminal kinase-3. The binding energy of Ethyl (2E)-2-cyano-3-(4-methoxyphenyl)prop-2-enoate is -4.462 kcal/mol and ethyl (2E)-2-cyano-3-phenylprop-2-enoate is -6.135 kcal/mol. This has created a new rational approach to drug design, where the structure of drug is designed, based on its fit to structures of receptor site, rather than basing it on analogies to other active structures. The above compounds are binding strongly with c-Jun N-terminal kinase-3 protein. Communicated by Ramaswamy H. Sarma.
Expanding the Phenotypic Spectrum of APMR4 Syndrome Caused by a Novel Variant in LSS Gene and Review of Literature

Alopecia intellectual disability syndromes 4 (APMR4) is a very rare autosomal recessive condition caused by a mutation in the LSS gene present on chromosome 21. This syndrome has a clinical heterogeneity mainly exhibited with variable degrees of intellectual disability (ID) and congenital alopecia, as well. Eight families with 13 cases have been previously reported. Herein, we provide a report on an Egyptian family with two affected siblings and one affected fetus who was diagnosed prenatally. Whole-exome sequencing (WES) revealed a novel pathogenic missense variant (c.1609G > T; p.Val537Leu) in the lanosterol synthase gene (LSS) related to the examined patients. The detected variant was confirmed by Sanger sequencing. Segregation analyses confirmed that the parents were heterozygous. Our patient was presented with typical clinical manifestations of the disease in addition to new phenotypic features which included some dysmorphic facies as frontal bossing and bilateral large ears, as well as bilateral hyperextensibility of the fingers and wrist joints, short stature, umbilical hernia, and teeth mineralization defect. This study is the first study in Egypt and the 9th molecularly proven family to date. The aim is to expand the clinical and mutational spectrum of the syndrome. Moreover, the report gives a hint on the importance of prenatal testing and the proper genetic counseling to help the parents to take their own decision based on their beliefs.
Representations of birds in Etruscan art (6th-late 4th century BC)

From at least the Iron Age up to the Hellenistic period, the Etruscan culture flourished in a large portion of the Italian peninsula, extending from the Po delta and the eastern Alps in the north to Campania in the south. It was characterised by a magnificent and original artistic production that took its inspiration from aspects of the natural environment inserted into mythological contexts of various origins. In Etruscan art, birds occupied a significant place, and were often represented in wall paintings and craft objects. Species still occurring on the Italian mainland, such as swans, ducks, grouse, and partridges, as well as possibly exotic taxa, domestic forms (chickens and pigeons) and other unidentifiable birds were the subject of artistic inspiration. They were depicted not only in purely cult contexts, but also in the backgrounds of naturalistic landscapes.
DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation With Endoscope Images

Automatic classification and segmentation of wireless capsule endoscope (WCE) images are two clinically significant and relevant tasks in a computer-aided diagnosis system for gastrointestinal diseases. Most of existing approaches, however, considered these two tasks individually and ignored their complementary information, leading to limited performance. To overcome this bottleneck, we propose a deep synergistic interaction network (DSI-Net) for joint classification and segmentation with WCE images, which mainly consists of the classification branch (C-Branch), the coarse segmentation (CS-Branch) and the fine segmentation branches (FS-Branch). In order to facilitate the classification task with the segmentation knowledge, a lesion location mining (LLM) module is devised in C-Branch to accurately highlight lesion regions through mining neglected lesion areas and erasing misclassified background areas. To assist the segmentation task with the classification prior, we propose a category-guided feature generation (CFG) module in FS-Branch to improve pixel representation by leveraging the category prototypes of C-Branch to obtain the category-aware features. In such way, these modules enable the deep synergistic interaction between these two tasks. In addition, we introduce a task interaction loss to enhance the mutual supervision between the classification and segmentation tasks and guarantee the consistency of their predictions. Relying on the proposed deep synergistic interaction mechanism, DSI-Net achieves superior classification and segmentation performance on public dataset in comparison with state-of-the-art methods. The source code is available at https://github.com/CityU-AIM-Group/DSI-Net.
Electromagnetic scattering from a thick circular aperture

Electromagnetic scattering from a circular aperture ill a thick conducting plane is analyzed. Numerical computations art, performed to evaluate the near and far zone radiation fields in terms of the aperture geometry and incident polarization state. A salient difference in the near-zone field behavior between TM and TE wave incidences is discussed. (C) 2003 Wiley Periodicals. Inc.
Discerning the Contributions of Gold Species in Butadiene Hydrogenation: From Single Atoms to Nanoparticles

Identification of the roles of different active sites is vital for the rational design of catalysts. We present a cutting-edge strategy to discern the contributions of different single-atom gold species and nanoparticles in 1,3-butadiene hydrogenation, through coupling of advanced spectroscopic techniques, electron microscopy-based automated image analyses, and steady-state and kinetic studies. While all the carbon-hosted single gold atoms display negligible initial activity, the in situ-evolved gold nanoparticles are highly active. Full metal-species quantification is realized by combining electron-microscopy-based atom recognition statistics and deep-learning-driven nanoparticle segmentation algorithm, allowing the structure-activity correlations for the hybrid catalysts containing different Au architectures to be established. Surface exposure density of Au nanoparticles, as revealed by electron-microscopy-based statistics, is revealed as a new and reliable activity descriptor.
Octreotide for Acquired Chylothorax in Pediatric Patients Post-Cardiothoracic Surgery for Congenital Heart Disease: A Systematic Review

Chylothorax is a life-threatening complication post-corrective congenital heart surgery. Octreotide is used for treatment of refractory chylothoraces, with no standardized treatment protocol and a paucity of literature describing its efficacy. Our aim was to provide an update on the safety and efficacy of octreotide for the treatment of refractory chylothoraces in neonatal and pediatric patients' post-corrective congenital heart surgery. We performed a systematic review of PubMed, Medline, CINAHL, and Cochrane Library databases. Only intravenous octreotide treatment was included. A total of 621 patients across 27 studies were included. Studies included were 11 case series, 5 case studies, and 11 retrospective cohort studies. Variation in treatment regimens were reported. Treatment efficacy was reported in 95% (23/27) of studies. Definitions of treatment efficacy were reported in 33% (9/27) of studies. No prospective or randomized control trials were available for inclusion. Octreotide efficacy is widely reported despite a lack of standardization on criteria for treatment initiation or what defines an appropriate response to therapy.Please check and confirm whether the edit made to the article title is in order.Yes.
Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks

Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networks. The approach consists of one global-scale network (G-Net) and one local-scale network (L-Net). It follows three stages. The first stage is to learn both global and local features. We extract global features and detect finer local regions via the G-Net. By proposing a varifocal mechanism, we zoom into local parts and extract local features via the L-Net. Residual learning and multi-task learning strategies are utilized to promote high-level feature extraction. The detection of discriminative local parts is fulfilled by a localization subnet of the G-Net, whose training process involves both supervised and weakly supervised learning. The second stage is to build two multi-layer perceptron classifiers that exploit features of both two scales to boost classification performance. The third stage is to introduce a dispatch strategy of assigning each chromosome to a type within each patient case, by utilizing the domain knowledge of karyotyping. The evaluation results from 1909 karyotyping cases showed that the proposed Varifocal-Net achieved the highest accuracy per patient case () of 99.2 for both type and polarity tasks. It outperformed state-of-the-art methods, demonstrating the effectiveness of our varifocal mechanism, multi-scale feature ensemble, and dispatch strategy. The proposed method has been applied to assist practical karyotype diagnosis.
Urban environment art design simulation based on FPGA and neural network

Environmental process and compositions of the interior and exterior spaces period, outside the species is a continuation of mixing. Ability to Cities Climate Progress Street Development (CCPSD) under development and urban ecosystem is of great interest. Like the collaborative process, the chemical composition and natural finish edge has appeared on the stage. Urban development is inseparable from the appearance of human experience, a more complete overall climate. Gradually different base and current methods of life living material, natural integration plan needs a metropolitan area, then specific social nature and philosophy of environmental protection of the city, and more thoughts. In this article, method will focus on metropolitan areas the natural clear plan to complete the examination. Set best-effort edge within the metropolitan area to explicitly check liner Field Programmable Gate Array (FPGA). The purpose and work planning and layout of the system need to be considered.
Totally Percutaneous Repair of an Aortic Arch Dissection: A Case Report

Although the endovascular repair of descending thoracic aorta diseases is an already consolidated procedure, this approach is not well-established for ascending aorta and arch pathologies. A 71-year-old male patient who had undergone an open ascending aorta replacement ten years ago presented with a huge dissected aortic arch aneurysm. Vascular accesses were obtained with ultrasound-guided punctures, followed by aortic arch exclusion using aortic endoprostheses and the chimney-graft technique for preserving supra-aortic branches flow. This case demonstrates the feasibility of a totally percutaneous aortic arch repair provided that careful preprocedural planning and a dedicated team are available for such a challenging intervention.
Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera

Frontal view gait recognition for people identification has been carried out using single RGB, stereo RGB, Kinect 1.0, and Doppler radar. However, existing methods based on these camera technologies suffer from several problems. Therefore, we propose a four-part method for frontal view gait recognition based on the fusion of multiple features acquired from a Time-of-Flight (ToF) camera. We have developed a gait data set captured by a ToF camera. The data set includes two sessions recorded seven months apart, with 46 and 33 subjects, respectively, each with six walks with five covariates. The four-part method includes: a new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. Rigorous experiments are carried out to compare the proposed method with state-of-the-art methods. The results show distinct improvements over recognition rates for all covariates. The proposed method outperforms all major existing approaches for all covariates and results in 66.1% and 81.0% Rank 1 and Rank 5 recognition rates, respectively, in overall covariates, compared with a best state-of-the-art method performance of 35.7% and 57.7%.
Energy-Efficient Intelligent ECG Monitoring for Wearable Devices

Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and send out alert signal together with abnormal ECG signal for doctors further analysis. This provides a means for the patient to identify their heart problem as early as possible and go to doctors for medical treatment. For such system the key requirements include high accuracy and low power consumption. However, the existing wearable intelligent ECG monitoring schemes suffer from high power consumption in both ECG diagnosis and transmission in order to achieve high accuracy. In this work, we have proposed an energy-efficient wearable intelligent ECG monitor scheme with two-stage end-to-end neural network and diagnosis-based adaptive compression. Compared to the state-of-the-art schemes, it significantly reduces the power consumption in ECG diagnosis and transmission while maintaining high accuracy.
Exploiting quantization and spatial correlation in virtual-noise modeling for distributed video coding

Aiming for low complexity encoding video coders based on Wyner-Ziv theory are still unsuccessfully trying to match the performance of predictive video coders One of the most important factors concerning the coding performance of distributed coders is modeling and estimating the correlation between the original video signal and its temporal prediction generated at the decoder One of the problems of the state of the art correlation estimators is that their performance is not consistent across a wide range of video content and different coding settings To address this problem we have developed a correlation model able to adapt to changes in the content and the coding parameters by exploiting the spatial correlation of the video signal and the quantization distortion In this paper we describe our model and present experiments showing that our model provides average bit rate gains of up to 12% and average PSNR gains of up to 0 5 dB when compared to the state of the-art models The experiments suggest that the performance of distributed coders can be significantly improved by taking video content and coding parameters into account (c) 2010 Elsevier B V All rights reserved
The Implementation and Role of Antigen Rapid Test for COVID-19 in Hemodialysis Units

As we move into the third year with COVID-19, many countries have attempted to manage the disease as an endemic. However, this is limited by the disease's morbidity and mortality, the emergence of new strains, and the effectiveness of the vaccine. This brief report describes, evaluates, and discusses the implementation of regular antigen rapid tests (ARTs) for COVID-19 in hemodialysis units. We introduced ARTs during the surge in our hemodialysis units. As compliance with the test was mandatory by regulatory requirements, we surveyed patients and caregivers to measure their acceptability, appropriateness, and feasibility of the ART's implementation. Acceptability measured confidence and level of comfort when performing ART tests, while appropriateness measured the perception of the necessity of ARTs, safety in the dialysis unit with the implementation of ARTs, and understanding using a Likert scale. Feasibility measured the perception of the timely start of dialysis treatment and the convenience of the test. Our survey found that ARTs were acceptable to 98% of patients and caregivers, with the majority reporting no discomfort. The majority of the patients agreed that ARTs were appropriate and feasible. We reported successful ART implementation in a healthcare setting with no false-positive or transmission within the unit during this period. Nevertheless, the long-term implementation outcome will require further evaluation.
Injection-locked dual opto-electronic oscillator with ultra-low phase noise and ultra-low spurious level

We report a new injection-locked dual opto-electronic oscillator (OEO) that uses a long optical fiber loop master oscillator to injection lock into a short-loop signal-mode slave oscillator, which showed substantial improvements in reducing the phase noise and spurs compared to current state-of-the-art multiloop OEOs operating at 10 GHz. Preliminary phase-noise measurement indicated approximately 140-dB reduction of the spurious level.