3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. …”
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Modeling Transmission Lines With Open Boundaries via Infinite Mapping Layer by Gines Garcia-Contreras, Juan Corcoles, Jorge A. Ruiz-Cruz, Matteo Oldoni, Lorenzo Codecasa, Gian Guido Gentili

“…The method has been evaluated and tested on a variety of common transmission line geometries appearing in the literature and its accuracy is validated by comparing the results with canonical cases having closed expressions and with arbitrary geometries computed with commercial software tools. …”
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Hubble Bubble Equals Trouble: The Hazards of Water Pipe Smoking by Jacob Urkin, Rivka Ochaion, Aya Peleg

“…The health hazards that the Narghile smoker is exposed to include interference with oxidation, damage to genetic compounds, increased risk of developing malignancies, infectious diseases, damage to the fetus and newborn, and exposure to commonly abused chemicals. It is concluded that increased awareness of the expanded use of the Narghile is imperative and education programs about the prevention of cigarette smoking and substance abuse should also include Narghile smoking.…”
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Analysis the self-similarity of network traffic in fractional Fourier transform domain by Tong GUO, Ju-long LAN, Wan-wei HUANG, Zhen ZHANG

“…Statistical characteristics of network traffic data in FrFT domain were analyzed,which indicates the self-simi-larity feature.Further,Hurst parameter estimation methods based on modified ensemble empirical mode decomposi-tion-detrended fluctuation analysis (MEEMD-DFA) and adaptive estimator with weighted least square regression (WLSR) were presented,which aimed at displaying network traffic in “time” or “frequency” domain of FrFT domain separately.Experimental results demonstrate that the MEEMD-DFA method has more accurate estimate precision but higher com-putational complexity than existing common methods.The overall robustness of adaptive estimator is more satisfactory than that of the other methods in simulation,while it has lower computational complexity.Thus,it can be used as a real-time online Hurst parameter estimator for traffic data.…”
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Community-Acquired Methicillin-Resistane Staphylococcus aureus: Getting over It by LE Nicolle

“…While the replacement of nosocomial methicillin-susceptible S aureus by MRSA has proceeded at different rates in different regions, the overall global progression has been relentless. MRSA became common in Canadian health care facilities later than in the United States; however, since the early 1990s, nosocomial MRSA in Canada has steadily and irrevocably increased (2).…”
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Sample Size Calculation for Controlling False Discovery Proportion by Shulian Shang, Qianhe Zhou, Mengling Liu, Yongzhao Shao

“…Study designs for controlling the mean of FDP, which is false discovery rate, have been commonly used. However, there has been little attempt to design study with direct FDP control to achieve certain level of efficiency. …”
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Fleming's penicillin producing strain is not Penicillium chrysogenum but P. rubens by J. Houbraken, J.C. Frisvad, R.A. Samson

“…Penicillium chrysogenum is a commonly occurring mould in indoor environments and foods, and has gained much attention for its use in the production of the antibiotic penicillin. …”
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A modern approach to the treatment of plaque psoriasis by Drvar Daniela Ledić, Vlahinić Tomislav, Maleš Željan, Turčić Petra, Čeović Romana

“…Psoriasis is a common chronic inflammatory skin disease which affects 0.5–1 % of children and 2–3 % of the adult population. …”
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Analytic transparency is key for reproducibility of agricultural research by Gudeta W. Sileshi

“…In this commentary, my aim is to draw attention to the evolving concepts and terminology used in characterizing reproducibility and the common reasons for non-reproducibility of past research. …”
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Regulatory role of PPAR in colorectal cancer by Cong Wang, Tingcong Lv, Binghui Jin, Yang Li, Zhe Fan

“…Abstract Colorectal cancer (CRC) is one of the most common tumors in the digestive system, and the majority of patients are found to be in advanced stages, which is a burden to human health all over the world. …”
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CMM-Based Volumetric Assessment Methodology for Polyethylene Tibial Knee Inserts in Total Knee Replacement by Wei Jiang, Cuicui Ji, Zhongmin Jin, Yuntian Dai

“…Total knee replacement is a common surgical procedure in orthopaedics. Accurate volumetric wear assessment of the polyethylene knee inserts has been an essential subject for improving the longevity. …”
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Endoscopic Alcohol Injection Therapy of Giant Gastric Leiomyomas: An Alternative Method to Surgery by Burhan Ozdil, Hikmet Akkiz, Can Kece, Macit Sandikci

“…Leiomyomas are the most common benign mesenchymal tumours of the upper gastrointestinal tract. …”
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As abordagens sobre interseccionalidade em três blogs feministas by Dulcilei da Conceição Lima, Ana Keila Mosca Pinezi

“…The analyzes identified that although the texts diverge as to the nature and attribution of authorship of the concept of intersectionality, they have as a common element the critique of excluding feminist practices. …”
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Numerical simulation of dissimilar metal welding and its verification for determination of residual stresses by Sz. Szávai, Z. Bezi, C. Ohms

“…DMWs, as welded joints between ferritic steels and either austenitic stainless steels or nickel-based alloys, are commonly found in piping systems of NPPs as well as in other industrial plants. …”
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Important Things to Know about Medicare Chapter Two: Medicare Part A--Hospital Insurance by Amanda Terminello, Martie Gillen

“… Important Things to Know about Medicare is a series of 10 publications that will cover the most common Medicare concerns. The series will provide general information about Medicare, including the four major plans, supplemental policies, interactions with different types of insurance, and assistance programs. …”
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Rule Britannia, Brexit and Cornish Identity by Ella Westland

“…The decision to take Britain into the European Common Market and the rise of Celtic nationalism had a clear bearing on the book. …”
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Complete Regression of Giant Aneurysms in an Infant with Delayed Diagnosis and Refractory Kawasaki Disease via Combination Anticytokine Therapy: Case Report and Review of Similar C... by Maegan Williams, Lakshmi Nagaraju, Mark Gorelik

“…Kawasaki disease (KD) is an inflammatory vasculitis and is the most common cause of acquired childhood heart disease in developed countries. …”
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Cryptic Early Gastric Carcinoma in Gastric Stump: Challenges in Diagnostic Evaluation by Subramanya Sakaleshpura Mallikarjunappa, Shriram Jakate

“…In symptomatic patients with gastro-enteric anastomosis, it is a common practice to endoscopically evaluate the patency and the status of the anastomosis and procure biopsy samples when endoscopic abnormalities are noted. …”
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Simultaneous presentation of malignant acanthosis nigricans and palmar fasciitis with polyarthritis syndrome in a patient of ovarian neoplasm: A rare manifestation by Jayati Dave, Sunanda Mahajan, Ankita Maheshwari, Abhishek Gupta

“…Malignant acanthosis nigricans (MAN) is a paraneoplastic dermatosis associated most commonly with an underlying intra-abdominal malignancy. …”
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Review on autoencoder and its application by Jie LAI, Xiaodan WANG, Qian XIANG, Yafei SONG, Wen QUAN

“…As a typical deep unsupervised learning model, autoencoder can automatically learn effective abstract features from unlabeled samples.In recent years, autoencoder has been widely used in target recognition, intrusion detection, fault diagnosis and many other fields.Thus, the theoretical basis, improved methods, application fields and research directions of autoencoder were described and summarized comprehensively.At first, the network structure, theoretical derivation and algorithm flow of traditional autoencoder were introduced and analyzed, and the difference between autoencoder and other unsupervised learning algorithms was compared.Then, common improved autoencoders were discussed, and their innovation, improvement methods and relative merits were analyzed.Next, the practical application status of autoencoder in target recognition, intrusion detection and other fields were introduced.At last, the existing problems of autoencoder were summarized, and the possible research directions were prospected.…”
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