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Lingling Zhou, Ping Zhao, Dongdong Wu, Cheng Cheng, Hao Huang
BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in the schistosomiasis and hand, foot, and mouth disease forecasting study. In this paper, our aim is to explore the application of the hybrid ARIMA-NARNN model to track the trends of the new admission inpatients, which provides a methodological basis for reducing crowding...
June 15, 2018: BMC Medical Informatics and Decision Making
Koen Cuypers, Celine Maes, Stephan P Swinnen
No abstract text is available yet for this article.
June 13, 2018: Aging
Lin Zang, Feiyue Mao, Jianping Guo, Wei Gong, Wei Wang, Zengxin Pan
Particulate matter with diameter less than 1 μm (PM1 ) has been found to be closely associated with air quality, climate changes, and even adverse human health. However, a large gap in our knowledge concerning the large-scale distribution and variability of PM1 remains, which is expected to be bridged with advanced remote-sensing techniques. In this study, a hybrid model called principal component analysis-general regression neural network (PCA-GRNN) is developed to estimate hourly PM1 concentrations from Himawari-8 aerosol optical depth in combination with coincident ground-based PM1 measurements in China...
June 11, 2018: Environmental Pollution
Wei Shen Tan, Wei Phin Tan, Mae-Yen Tan, Pramit Khetrapal, Liqin Dong, Patricia deWinter, Andrew Feber, John D Kelly
BACKGROUND: Urinary biomarkers for the diagnosis of bladder cancer represents an area of considerable research which has been tested in both patients presenting with haematuria and non-muscle invasive bladder cancer patients requiring surveillance cystoscopy. In this systematic review, we identify and appraise the diagnostic sensitive and specificity of reported novel biomarkers of different 'omic' class and highlight promising biomarkers investigated to date. METHODS: A MEDLINE/Pubmed systematic search was performed between January 2013 and July 2017 using the following keywords: (bladder cancer OR transitional cell carcinoma OR urothelial cell carcinoma) AND (detection OR diagnosis) AND urine AND (biomarker OR assay)...
May 29, 2018: Cancer Treatment Reviews
Diana B Muñiz-Márquez, Jorge E Wong-Paz, Juan C Contreras-Esquivel, Raúl Rodríguez-Herrera, Cristóbal N Aguilar
Laurus nobilis leaves contain flavored and bioactive components with relevant biological properties for human health that are attributed to an abundant presence of highly bioactive secondary metabolites. However, the separation process for these bioactive molecules from plant matrix is seriously limited by the presence of a physical barrier (cell wall). Thus, the use of novel extraction procedures to enhance their release is particularly important. In this work, the potential use of microwave-assisted extraction (MAE) as a tool to improve the extraction efficiency of bioactive compounds from bay leaves and their characterization was evaluated...
June 14, 2018: Zeitschrift Für Naturforschung. C, A Journal of Biosciences
Andrea Maes, Paolo DePetrillo, Shahid Siddiqui, Colin Reisner, Paul Dorinsky
This randomized, phase 1, single-dose, crossover study (NCT02189304) compared the 12-hour pharmacokinetic (PK) and safety profiles of budesonide/glycopyrronium/formoterol fumarate dihydrate metered dose inhaler (BGF MDI) 320/14.4/10 μg and budesonide/formoterol fumarate dihydrate (BFF) MDI 320/10 μg (both formulated using innovative co-suspension delivery technology) to an active comparator (budesonide/formoterol fumarate dihydrate dry powder inhaler [BUD/FORM DPI] 320/9-μg delivered dose) in healthy adults...
June 14, 2018: Clinical Pharmacology in Drug Development
Hajar Emami, Ming Dong, Siamak P Nejad-Davarani, Carri Glide-Hurst
PURPOSE: While MR-only treatment planning using synthetic CTs (synCTs) offers potential for streamlining clinical workflow, a need exists for an efficient and automated synCT generation in the brain to facilitate near real-time MR-only planning. This work describes a novel method for generating brain synCTs based on generative adversarial networks (GANs), a deep learning model that trains two competing networks simultaneously, and compares it to a deep convolutional neural network (CNN)...
June 14, 2018: Medical Physics
Segun I Popoola, Aderemi A Atayero, Oluwafunso A Popoola
Empirical models are most widely used for path loss predictions because they are simple, easy to use, and require less computational efficiency when compared to deterministic models. A number of empirical path loss models have been developed for efficient radio network planning and optimization in different types of propagation environments. However, data that prove the suitability of these models for path loss predictions in a typical university campus propagation environment are yet to be reported in the literature...
June 2018: Data in Brief
Cécile Guieu, Sophie Bonnet, Anne Petrenko, Christophe Menkes, Valérie Chavagnac, Karine Desboeufs, Christophe Maes, Thierry Moutin
In the Western Tropical South Pacific, patches of high chlorophyll concentrations linked to the occurrence of N2 -fixing organisms are found in the vicinity of volcanic islands. The survival of these organisms relies on a high bioavailable iron supply whose origin and fluxes remain unknown. Here, we measured high dissolved iron (DFe) concentrations (up to 66 nM) in the euphotic layer, extending zonally over 10 degrees longitude (174 E-175 W) at ∼20°S latitude. DFe atmospheric fluxes were at the lower end of reported values of the remote ocean and could not explain the high DFe concentrations measured in the water column in the vicinity of Tonga...
June 13, 2018: Scientific Reports
Paulo R Nunes-Neto, Cristiano A Köhler, Felipe B Schuch, João Quevedo, Marco Solmi, Andrea Murru, Eduard Vieta, Michael Maes, Brendon Stubbs, André F Carvalho
OBJECTIVE: The field of food addiction has attracted growing research attention. The modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) is a screening tool based on DSM-5 criteria for substance use disorders. However, there is no validated instrument to assess food addiction. METHODS: The mYFAS 2.0 has been transculturally adapted to Brazilian Portuguese. The data for this study was obtained through an anonymous web-based research platform: participants provided sociodemographic data and answered Brazilian versions of the the mYFAS 2...
June 11, 2018: Revista Brasileira de Psiquiatria
Zhihang Zhang, Mahesha Manjunatha Poojary, Alka Choudhary, Dilip K Rai, Brijesh K Tiwari
Apple pomace has been considered as a sustainable source for antioxidant phenolic compounds. Previous reports show extraction of total phenolic contents (TPC) by following various conventional and non-conventional techniques; however, a comparative study has not been reported. In the present work, conventional extraction was compared with several non-conventional extraction methods including ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), high-speed homogenization (HH). Moreover, efficacy of combined treatments, including high-speed homogenization coupled with MAE and ultrasound-assisted enzymatic extraction (UAEE) was evaluated for the recovery of TPC...
June 13, 2018: Electrophoresis
Becker Meng-Po Law, Ray Wilkinson, Xiangju Wang, Katrina Kildey, Mae Lindner, Kenneth Beagley, Helen Healy, Andrew J Kassianos
Background: γδ T cells are effector lymphocytes recognized as key players during chronic inflammatory processes. Mouse studies suggest a pathological role for γδ T cells in models of kidney disease. Here we evaluated γδ T cells in human native kidneys with tubulointerstitial fibrosis, the pathological hallmark of chronic kidney disease. Methods: γδ T cells were extracted from human kidney tissue and enumerated and phenotyped by multicolour flow cytometry...
April 20, 2018: Nephrology, Dialysis, Transplantation
Yuan-Chin Hsieh, Hsin-Ell Wang, Wen-Wei Lin, Steve R Roffler, Ta-Chun Cheng, Yu-Cheng Su, Jia-Je Li, Chao-Cheng Chen, Chun-Han Huang, Bing-Mae Chen, Jaw-Yuan Wang, Tian-Lu Cheng, Fang-Ming Chen
Rationale: Increasing frequency of human exposure to PEG-related products means that healthy people are likely to have pre-existing anti-PEG antibodies (pre-αPEG Ab). However, the influence of pre-αPEG Abs on the pharmacokinetics (PK) and therapeutic efficacy of LipoDox is unknown. Methods: We generated two pre-αPEG Ab mouse models. First, naïve mice were immunized with PEGylated protein to generate an endogenous αPEG Ab titer (endo αPEG). Second, monoclonal αPEG Abs were passively transferred (αPEG-PT) into naïve mice to establish a αPEG titer...
2018: Theranostics
Hyung Joon Joo, Han Saem Jeong, Hyungdon Kook, Seung Hun Lee, Jae Hyoung Park, Soon Jun Hong, Cheol Woong Yu, Do-Sum Lim
BACKGROUND: There have been limited data on the impact of hyperuricemia on long-term clinical outcomes after percutaneous coronary intervention (PCI) for in-stent restenosis (ISR). METHODS: From January 2009 to July 2015, 317 patients who underwent repeat PCI for ISR were divided into two groups: patients with normal serum uric acid (UA) levels (normal UA group) and patients with higher serum UA levels (higher UA group). The higher UA group included patients with serum UA levels > 6...
June 11, 2018: BMC Cardiovascular Disorders
Xiaozheng Lai, Zhirong Cai, Zeming Xie, Hailong Zhu
The displacement and tilt angle of an object are useful information for wireless monitoring applications. In this paper, a low-cost detection method based on passive radio frequency identification (RFID) technology is proposed. This method uses a standard ultrahigh-frequency (UHF) RFID reader to measure the phase variation of the tag response and detect the displacement and tilt angle of RFID tags attached to the targeted object. An accurate displacement result can be detected by the RFID system with a linearly polarized (LP) reader antenna...
May 21, 2018: Sensors
Xike Zhang, Qiuwen Zhang, Gui Zhang, Zhiping Nie, Zifan Gui, Huafei Que
Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD) coupled with Machine Learning (ML) algorithms are useful for achieving these purposes because they can reduce the difficulty of modeling, require less history data, are easy to develop, and are less complex than physical models. In this article, a computationally simple, less data-intensive, fast and efficient novel hybrid data-driven model called the EEMD Long Short-Term Memory (LSTM) neural network, namely EEMD-LSTM, is proposed to reduce the difficulty of modeling and to improve prediction accuracy...
May 21, 2018: International Journal of Environmental Research and Public Health
Frédéric Vangroenweghe, Eveline Willems, Jiří Malášek, Olivier Thas, Dominiek Maes
Background: A dedicated program to monitor for freedom of several economically important diseases is present within most of the breeding companies that currently deliver high health breeding animals to their customers. Serology is therefore the preferential approach in order to screen for most of these diseases, including Mycoplasma hyopneumoniae ( M. hyopneumoniae ). However, in case of positive serology, further decisions on farm health status and the related consequences should be based on additional confirmation tests...
2018: Porcine Health Management
Marina Osawa, Hideki Akiyama, Sunao Mae, Yuko Fujiwara, Michio Yamane
We report here a new adverse event of romiplostim which is a protein analog of thrombopoietin. Leukemic mature B-cell neoplasm was observed during the treatment of thrombocytopenia in a patient with liver cirrhosis. Their relationship was suggested clinically but the mechanism of leukemic expansion of lymphoma cells was not clarified.
June 2018: Clinical Case Reports
Gang Chen, Miguel A Garcia-Gordillo, Daniel Collado-Mateo, Borja Del Pozo-Cruz, José C Adsuar, José Manuel Cordero-Ferrera, José María Abellán-Perpiñán, Fernando Ignacio Sánchez-Martínez
OBJECTIVES: The aim of this study was to compare the Parkinson's Disease Questionnaire-8 (PDQ-8) with three multi-attribute utility (MAU) instruments (EQ-5D-3L, EQ-5D-5L, and 15D) and to develop mapping algorithms that could be used to transform PDQ-8 scores into MAU scores. METHODS: A cross-sectional study was conducted. A final sample of 228 evaluable patients was included in the analyses. Sociodemographic and clinical data were also collected. Two EQ-5D questionnaires were scored using Spanish tariffs...
June 7, 2018: Patient
Hyun Bae Kim, Masayuki Mae, Youngjin Choi, Takeshi Kiyota
The data in this article are the experimental results of three identical huts (Hut A, B and C), which were examined by using varying shape-stabilized PCMs (SSPCMs) sheet levels under natural and heating conditions in winter of Chiba prefecture where Japanese temperate climate. The SSPCMs sheet established the melting and solidification-temperature ranged at 19-26 °C were used. In Hut A, no SSPCM sheets were applied; in Hut B, four layers of SSPCM sheets were applied to the floor; in Hut C, one layer of SSPCM was applied to the floor, walls, and ceilings...
April 2018: Data in Brief
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