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Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity.

Chemosphere 2022 Aug 9:135930. Epub 2022 Aug 9.

Institute of Environmental Sciences (CML), Leiden University, PO Box 9518, 2300 RA, Leiden, the Netherlands.

Engineered nanomaterials (ENMs) are ubiquitous nowadays, finding their application in different fields of technology and various consumer products. Virtually any chemical can be manipulated at the nano-scale to display unique characteristics which makes them appealing over larger sized materials. As the production and development of ENMs have increased considerably over time, so too have concerns regarding their adverse effects and environmental impacts. Read More

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Enhanced bedside mortality prediction combining point-of-care lactate and the quick Sequential Organ Failure Assessment (qSOFA) score in patients hospitalised with suspected infection in southeast Asia: a cohort study.

Lancet Glob Health 2022 Sep;10(9):e1281-e1288

Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Background: Simple, bedside prediction of infection-related mortality in low-resource settings is crucial for triage and resource-utilisation decisions. We aimed to evaluate mortality prediction by combining point-of-care venous lactate with the quick Sequential Organ Failure Assessment (qSOFA) score in adult patients admitted to hospital with suspected infection in southeast Asia.

Methods: We performed a cohort study by prospectively enrolling patients aged 18 years or older who had been admitted to hospital within the previous 24 h for suspected infection (with at least three documented systemic manifestations of infection according to the 2012 Surviving Sepsis Campaign) at Sunpasitthiprasong Hospital in Ubon Ratchathani, Thailand (derivation cohort). Read More

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September 2022

AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study.

Eur Radiol 2022 Aug 12. Epub 2022 Aug 12.

Department of Medical Imaging, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 10, 6500 HB, Nijmegen, the Netherlands.

Objectives: To evaluate the feasibility of automatic longitudinal analysis of consecutive biparametric MRI (bpMRI) scans to detect clinically significant (cs) prostate cancer (PCa).

Methods: This retrospective study included a multi-center dataset of 1513 patients who underwent bpMRI (T2 + DWI) between 2014 and 2020, of whom 73 patients underwent at least two consecutive bpMRI scans and repeat biopsies. A deep learning PCa detection model was developed to produce a heatmap of all PIRADS ≥ 2 lesions across prior and current studies. Read More

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A Novel Dual-Energy CT Method for Detection and Differentiation of Intracerebral Hemorrhage From Contrast Extravasation in Stroke Patients After Endovascular Thrombectomy : Feasibility and First Results.

Clin Neuroradiol 2022 Aug 12. Epub 2022 Aug 12.

Department of Neuroradiology, Clinical Neuroscience Cente, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Purpose: Dual-energy computed tomography (DECT) has been shown to be able to differentiate between intracranial hemorrhage (ICH) and extravasation of iodinated contrast media (contrast staining [CS]). TwinSpiral DECT is a recently introduced technique, which allows image acquisition at two different energy levels in two consecutive spiral scans. The aim of this study was to evaluate the feasibility and accuracy of TwinSpiral DECT to distinguish between ICH and CS after endovascular thrombectomy (EVT) in patients with acute ischemic stroke. Read More

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[Comparison of the Multiplex Real Time Polymerase Chain Reaction Method Directly from Whole Blood and from Blood Culture Bottle with the Conventional Method for the Etiological Diagnosis in Patients with Pre-Diagnosis of Sepsis].

Mikrobiyol Bul 2022 Jul;56(3):432-448

University of Health Sciences Ankara Training and Research Hospital, Clinic of Anesthesiology and Reanimation, Ankara, Türkiye.

In this study, it was aimed to evaluate the use of multiplex real time polymerase chain reaction (RtPCR) method, directly from whole blood and blood culture bottles of intensive care unit patients with a pre-diagnosis of sepsis for the determination of the causative agent by comparing it with the conventional method. The study was carried out prospectively between November 2019 and August 2020. Ninety patients hospitalized with a pre-diagnosis of sepsis were included in the study. Read More

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Correlation between endoscopic resection outcomes and endosonographic findings in gastric tumors with muscularis propria origin.

Medicine (Baltimore) 2022 Aug;101(32):e29947

Gastroenterologic Division, Department of Internal Medicine, Presbyterian Medical Center, Jeonju City, South Korea.

Endoscopic resection is an effective treatment for subepithelial tumors arising from the muscularis propria layer of the stomach. However, the invasion pattern revealed by the pathological examination of tumor specimens is often not consistent with the findings of preprocedural endoscopic ultrasounds (EUS). We compared the real growing patterns of tumors, as evaluated on histopathological examination, with their EUS images, and analyzed the outcomes of endoscopic resections in relation to the EUS findings. Read More

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Comparison of prediction accuracies between two mathematical models for the assessment of COVID-19 damage at the early stage and throughout 2020.

Medicine (Baltimore) 2022 Aug;101(32):e29718

Center for Integrative Medicine, ChiMei Medical Center, Tainan 710, Taiwan.

Background: The negative impacts of COVID-19 (ImpactCOVID) on public health are commonly assessed using the cumulative numbers of confirmed cases (CNCCs). However, whether different mathematical models yield disparate results based on varying time frames remains unclear. This study aimed to compare the differences in prediction accuracy between 2 proposed COVID-19 models, develop an angle index that can be objectively used to evaluate ImpactCOVID, compare the differences in angle indexes across countries/regions worldwide, and examine the difference in determining the inflection point (IP) on the CNCCs between the 2 models. Read More

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Ultrasound is an accurate method compared to radiography for diagnosing the presence of acute hip luxation in cadaver dogs and can identify the direction of luxation with variable reliability.

Vet Radiol Ultrasound 2022 Aug 12. Epub 2022 Aug 12.

Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.

Acute hip luxation is a common musculoskeletal injury in dogs, with radiographs being the preferred imaging modality for confirming the diagnosis. In large animal and human medicine, ultrasound is often utilized for this purpose. The objectives of this three-part study were to utilize a canine cadaver model to establish ultrasonographic features of hip luxation and evaluate the accuracy and reliability for diagnosing hip luxation with ultrasound. Read More

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Diagnostic value of lncRNA HOTAIR as a biomarker for detecting and staging of non-small cell lung cancer.

Biomarkers 2022 Aug 12:1-8. Epub 2022 Aug 12.

Nantong First People's Hospital, Nantong, China.

Background: Since the role of long non-coding RNA (lncRNA) HOTAIR is yet to be established in non-small cell lung cancer (NSCLC), we tried to explore the expression of lncRNA HOTAIR in NSCLC and evaluate the correlation between the combined detection of lncRNA HOTAIR and routine tumour markers and the pathological staging of lung cancer.

Methods: This study prospectively included 148 patients with NSCLC selected from our hospital from January 2017 to September 2020 as the lung cancer group, and 148 healthy volunteers who referred for physical examination were selected as the control group. Fluorescence in situ hybridisation was used to detect the expression of lncRNA HOTAIR in the cancerous tissues and adjacent tissues of lung cancer patients; the immunofluorescence method was used to detect the serum NSE, CEA and CYFRA21-1 levels of the two groups of testers. Read More

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A new method for modeling rabbit growth plate injury for the study of tissue engineering scaffolds.

Tissue Eng Part C Methods 2022 Aug 12. Epub 2022 Aug 12.

Children's Hospital of Nanjing Medical University, No.8 Jiangdong South Road, Jianye District, Nanjing, Nanjing, China, 210008;

Establishing a suitable animal model of growth plate injury is necessary to evaluate the effect of tissue engineering scaffolds on repairing the injured growth plate. However, the currently used animal models have limitations. Therefore in this study, we reported and evaluated a new modeling method termed the longitudinal disruption method, which is to make a longitudinal defect in the region of growth plate. Read More

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Quality of fetal heart rate monitoring with transabdominal fetal ECG during maternal movement in labor: A prospective study.

Acta Obstet Gynecol Scand 2022 Aug 12. Epub 2022 Aug 12.

Department of Obstetrics and Gynecology, Medical School - Santa Maria University Hospital, Lisbon, Portugal.

Introduction: Transabdominal electrocardiographic (TAfECG) acquisition of fetal heart rate (FHR) signals has recently been introduced into leading commercial cardiotocographic (CTG) monitors. Continuous wireless transmission of signals has raised the possibility of the technology being used during maternal mobilization in labor. This study aims to evaluate signal quality and accuracy of TAfECG acquisition of FHR signals during static and active maternal positions in labor when compared with Doppler signals and with the gold-standard method of fetal scalp electrode (FSE). Read More

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Paramedic Ability in Interpreting Electrocardiogram with ST-segment Elevation Myocardial Infarction (STEMI) in Saudi Arabia.

J Multidiscip Healthc 2022 4;15:1657-1665. Epub 2022 Aug 4.

Department of Basic Sciences, Prince Sultan Bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia.

Objective: To evaluate paramedic ability in recognizing 12-lead Electrocardiogram (ECG) with ST-segment Elevation myocardial infarction (STEMI) in Saudi Arabia.

Methods: This is a quantitative exploratory cross-sectional study using an electronic survey of paramedics was conducted between June and September 2021. The survey included demographics, educational and clinical experiences, and multiple 12-lead ECG strip questions to assess participants' ability to recognize STEMI. Read More

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Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography.

Front Comput Neurosci 2022 26;16:822987. Epub 2022 Jul 26.

Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.

Eliminating facial electromyographic (EMG) signal from the electroencephalogram (EEG) is crucial for the accuracy of applications such as brain computer interfaces (BCIs) and brain functionality measurement. Facial electromyography typically corrupts the electroencephalogram. Although it is possible to find in the literature a number of multi-channel approaches for filtering corrupted EEG, studies employing single-channel approaches are scarce. Read More

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How effective is indocyanine green (ICG) in localization of malignant pulmonary nodules? A systematic review and meta-analysis.

Front Surg 2022 25;9:967897. Epub 2022 Jul 25.

Department of Thoracic Surgery, Cantonal Hospital Lucerne, Lucerne, Switzerland.

Background: Video-Assisted and Robotic-Assisted techniques become constantly more prominent practice in thoracic surgery for lung cancer. Furthermore, the increased frequency in detection of small lung cancers makes the intra-operative identification of these cancers even more challenging. Indocyanine Green (ICG) is one of the most commonly used dyes that assists surgeons identify small lung cancers intra-operatively. Read More

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Clinical Significance of Detection of Peripheral Blood VASP Level in Lung Cancer Patients.

Evid Based Complement Alternat Med 2022 31;2022:1703339. Epub 2022 Jul 31.

Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang 050030, Hebei Province, China.

This paper explores the relationship between the clinical value of vasodilator-stimulated phosphoprotein (VASP) in lung cancer tissue and its diagnosis and severity. Totally 100 patients who were clinically diagnosed with lung cancer from January 2018 to December 2020 were enrolled in our study. They were assigned into two groups according to the presence of lymph node metastasis. Read More

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C-arm Fluoroscopy-Guided Percutaneous Needle Biopsy for the Diagnosis of Spinal Infection: A Study of 203 Consecutive Patients.

Evid Based Complement Alternat Med 2022 2;2022:4155113. Epub 2022 Aug 2.

Chongqing Medical University, Chongqing 400016, China.

C-arm fluoroscopy-guided percutaneous needle biopsy (PNB) is a commonly used biopsy method, which shows similar diagnostic outcomes to CT-guided biopsy. This study aimed to evaluate the diagnostic value of C-arm fluoroscopy-guided percutaneous needle biopsy (PNB) for spinal infection. A total of 30 male and 73 female patients with suspected spinal infection were enrolled. Read More

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An Improved Logistic Regression Method for Assessing the Performance of Track and Field Sports.

Comput Intell Neurosci 2022 2;2022:6341495. Epub 2022 Aug 2.

Institute of Physical Education, Inner Mongolia Normal University, Hohhot 010020, China.

Track and field is an important part of sports. Track and field athletes are an important reserve force for the development of national sports. An accurate assessment of track and field athletes' performance can help them develop more appropriate training programs and improve their performance. Read More

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Research Progress of Myocardial Fibrosis and Atrial Fibrillation.

Front Cardiovasc Med 2022 25;9:889706. Epub 2022 Jul 25.

Department of Cardiology, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China.

With the aging population and the increasing incidence of basic illnesses such as hypertension and diabetes (DM), the incidence of atrial fibrillation (AF) has increased significantly. AF is the most common arrhythmia in clinical practice, which can cause heart failure (HF) and ischemic stroke (IS), increasing disability and mortality. Current studies point out that myocardial fibrosis (MF) is one of the most critical substrates for the occurrence and maintenance of AF. Read More

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Evaluation of myocardial work in patients with hypertrophic cardiomyopathy and hypertensive left ventricular hypertrophy based on non-invasive pressure-strain loops.

Front Cardiovasc Med 2022 26;9:767875. Epub 2022 Jul 26.

Department of Ultrasound, Henan Key Laboratory of Cardiovascular Ultrasound Clinical and Basic Research, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.

Background: The capacity to distinguish hypertrophic cardiomyopathy (HCM) from hypertensive left ventricular hypertrophy (H-LVH) based on morphological features obtained by conventional echocardiography is limited. We investigated the global myocardial work of the left ventricle in two types of hypertrophies using the non-invasive myocardial work index (NMWI).

Methods: Conventional echocardiography was performed on 107 subjects with preserved left ventricular ejection fraction (LVEF ≥ 50%), who comprised patients with HCM ( = 40), H-LVH ( = 35), and healthy people with normal blood pressure and left ventricular structure ( = 32). Read More

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Systematic review and meta-analysis of prognostic models in Southeast Asian populations with acute myocardial infarction.

Front Cardiovasc Med 2022 26;9:921044. Epub 2022 Jul 26.

Department of Community Health, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia.

Background: The cultural and genetic diversity of the Southeast Asian population has contributed to distinct cardiovascular disease risks, incidence, and prognosis compared to the Western population, thereby raising concerns about the accuracy of predicted risks of existing prognostic models.

Objectives: We aimed to evaluate the predictive performances of validated, recalibrated, and developed prognostic risk prediction tools used in the Southeast Asian population with acute myocardial infarction (AMI) events for secondary events.

Methods: We searched MEDLINE and Cochrane Central databases until March 2022. Read More

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Using Healthcare Resources Wisely: A Predictive Support System Regarding the Severity of Patient Falls.

J Healthc Eng 2022 1;2022:3100618. Epub 2022 Aug 1.

Department of Business Management, National United University, Miaoli 360301, Taiwan.

Background: An injurious fall is one of the main indicators of care quality in healthcare facilities. Despite several fall screen tools being widely used to evaluate a patient's fall risk, they are frequently unable to reveal the severity level of patient falls. The purpose of this study is to build a practical system useful to predict the severity level of in-hospital falls. Read More

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Nighttime salivary cortisol as a biomarker of stress and an indicator of worsening quality of life in patients with head and neck cancer: A cross-sectional study.

Health Sci Rep 2022 Sep 10;5(5):e783. Epub 2022 Aug 10.

Departament of Public Health/Epidemiology State University of Feira de Santana Feira de Santana Bahia Brazil.

Background: Head and neck cancer (HNC) is a generic term defined on an anatomical-topographic basis to describe malignant tumors located in the oral cavity, pharynx, larynx, and thyroid. A situation commonly presented by individuals with cancer is stress, with evidence indicating a close relationship between stress, behavior, and the immune system with the development and progression of cancer.

Aim: To assess the association between stress levels and quality of life among individuals with HNC. Read More

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September 2022

Practical Application of Artificial Intelligence Technology in Glaucoma Diagnosis.

J Ophthalmol 2022 31;2022:5212128. Epub 2022 Jul 31.

Department of Ophthalmology, China-Japan Friendship Hospital, Beijing, China.

Purpose: By comparing the performance of different models between artificial intelligence (AI) and doctors, we aim to evaluate and identify the optimal model for future usage of AI.

Methods: A total of 500 fundus images of glaucoma and 500 fundus images of normal eyes were collected and randomly divided into five groups, with each group corresponding to one round. The AI system provided diagnostic suggestions for each image. Read More

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Detection of Water pH Using Visible Near-Infrared Spectroscopy and One-Dimensional Convolutional Neural Network.

Authors:
Dengshan Li Lina Li

Sensors (Basel) 2022 Aug 3;22(15). Epub 2022 Aug 3.

College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China.

pH is an important parameter for water quality detection. This study proposed a novel calibration regression strategy based on a one-dimensional convolutional neural network (1D-CNN) for water pH detection using visible near-infrared (Vis-NIR) spectroscopy. Two groups of Vis-NIR spectral analysis experiments of water pH detection were employed to evaluate the performance of 1D-CNN. Read More

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Assessing Macro Disease Index of Wheat Stripe Rust Based on Segformer with Complex Background in the Field.

Sensors (Basel) 2022 Jul 29;22(15). Epub 2022 Jul 29.

MARA Key Lab of Pest Monitoring and Green Management, Department of Plant Pathology, College of Plant Protection, China Agricultural University, Beijing 100193, China.

Wheat stripe rust (WSR) is a foliar disease that causes destructive damage in the wheat production context. Accurately estimating the severity of WSR in the autumn growing stage can help to objectively monitor the disease incidence level of WSR and predict the nationwide disease incidence in the following year, which have great significance for controlling its nationwide spread and ensuring the safety of grain production. In this study, to address the low accuracy and the efficiency of disease index estimation by traditional methods, WSR-diseased areas are segmented based on Segformer, and the macro disease index (MDI) is automatically calculated for the measurement of canopy-scale disease incidence. Read More

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Dynamic QoS Prediction Algorithm Based on Kalman Filter Modification.

Sensors (Basel) 2022 Jul 28;22(15). Epub 2022 Jul 28.

School of Economics and Management, Chang'an University, Xi'an 710077, China.

With the widespread adoption of service-oriented architectures (SOA), services with the same functionality but the different Quality of Service (QoS) are proliferating, which is challenging the ability of users to build high-quality services. It is often costly for users to evaluate the QoS of all feasible services; therefore, it is necessary to investigate QoS prediction algorithms to help users find services that meet their needs. In this paper, we propose a QoS prediction algorithm called the MFDK model, which is able to fill in historical sparse QoS values by a non-negative matrix decomposition algorithm and predict future QoS values by a deep neural network. Read More

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Binarization Algorithm Based on Side Window Multidimensional Convolution Classification.

Sensors (Basel) 2022 Jul 28;22(15). Epub 2022 Jul 28.

State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China.

Uneven illumination and space radiation can cause inhomogeneous grayscale distribution, low contrast, and noisy images in in-orbit cameras. A binarization algorithm based on morphological classification is proposed to solve the problem of inaccurate image binarization caused by space image degradation. Traditional local binarization algorithms generally calculate thresholds based on statistical information of gray dimensions within the local window, often ignoring the morphological distribution information, leading to poor results in degraded images. Read More

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Improving Network-Based Anomaly Detection in Smart Home Environment.

Sensors (Basel) 2022 Jul 27;22(15). Epub 2022 Jul 27.

Discipline of Information Technology, College of Science & Engineering, James Cook University, Townsville, QLD 4811, Australia.

The Smart Home (SH) has become an appealing target of cyberattacks. Due to the limitation of hardware resources and the various operating systems (OS) of current SH devices, existing security features cannot protect such an environment. Generally, the traffic patterns of an SH IoT device under attack often changes in the Home Area Network (HAN). Read More

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User-Centric Proximity Estimation Using Smartphone Radio Fingerprinting.

Sensors (Basel) 2022 Jul 27;22(15). Epub 2022 Jul 27.

Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia.

The integration of infectious disease modeling with the data collection process is crucial to reach its maximum potential, and remains a significant research challenge. Ensuring a solid empirical foundation for models used to fill gaps in data and knowledge is of paramount importance. Personal wireless devices, such as smartphones, smartwatches and wireless bracelets, can serve as a means of bridging the gap between empirical data and the mathematical modeling of human contacts and networking. Read More

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Evaluation and Design of Colored Silicon Nanoparticle Systems Using a Bidirectional Deep Neural Network.

Nanomaterials (Basel) 2022 Aug 7;12(15). Epub 2022 Aug 7.

School of Energy and Power Engineering, Shandong University, Jinan 250061, China.

Silicon nanoparticles (SiNPs) with lowest-order Mie resonance produce non-iridescent and non-fading vivid structural colors in the visible range. However, the strong wavelength dependence of the radiation pattern and dielectric function makes it very difficult to design nanoparticle systems with the desired colors. Most existing studies focus on monodisperse nanoparticle systems, which are unsuitable for practical applications. Read More

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