TY  - JOUR
A1  - Wang, Xiaoliang
A1  - Liu, Xuan
A1  - Xiao, Yun
A1  - Mao, Yue
A1  - Wang, Nan
A1  - Wang, Wei
A1  - Wu, Shufan
A1  - Song, Xiaoyong
A1  - Wang, Dengfeng
A1  - Zhong, Xingwang
A1  - Zhu, Zhu
A1  - Schilling, Klaus
A1  - Damaren, Christopher
T1  - On-orbit verification of RL-based APC calibrations for micrometre level microwave ranging system
JF  - Mathematics
N2  - Micrometre level ranging accuracy between satellites on-orbit relies on the high-precision calibration of the antenna phase center (APC), which is accomplished through properly designed calibration maneuvers batch estimation algorithms currently. However, the unmodeled perturbations of the space dynamic and sensor-induced uncertainty complicated the situation in reality; ranging accuracy especially deteriorated outside the antenna main-lobe when maneuvers performed. This paper proposes an on-orbit APC calibration method that uses a reinforcement learning (RL) process, aiming to provide the high accuracy ranging datum for onboard instruments with micrometre level. The RL process used here is an improved Temporal Difference advantage actor critic algorithm (TDAAC), which mainly focuses on two neural networks (NN) for critic and actor function. The output of the TDAAC algorithm will autonomously balance the APC calibration maneuvers amplitude and APC-observed sensitivity with an object of maximal APC estimation accuracy. The RL-based APC calibration method proposed here is fully tested in software and on-ground experiments, with an APC calibration accuracy of less than 2 mrad, and the on-orbit maneuver data from  11–12 April 2022, which achieved 1–1.5 mrad calibration accuracy after RL training. The proposed RL-based APC algorithm may extend to prove mass calibration scenes with actions feedback to attitude determination and control system (ADCS), showing flexibility of spacecraft payload applications in the future.
KW  - reinforcement learning
KW  - antenna phase center calibration
KW  - K band ranging (KBR)
KW  - micrometre level microwave ranging
KW  - MSC: 49M37
KW  - MSC: 65K05
KW  - MSC: 90C30
KW  - MSC: 90C40
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-303970
SN  - 2227-7390
VL  - 11
IS  - 4
ER  - 
TY  - JOUR
A1  - Zhao, De-Wei
A1  - Yu, Mang
A1  - Hu, Kai
A1  - Wang, Wei
A1  - Yang, Lei
A1  - Wang, Ben-Jie
A1  - Gao, Xiao-Hong
A1  - Guo, Yong-Ming
A1  - Xu, Yong-Qing
A1  - Wei, Yu-Shan
A1  - Tian, Si-Miao
A1  - Yang, Fan
A1  - Wang, Nan
A1  - Huang, Shi-Bo
A1  - Xie, Hui
A1  - Wei, Xiao-Wei
A1  - Jiang, Hai-Shen
A1  - Zang, Yu-Qiang
A1  - Ai, Jun
A1  - Chen, Yuan-Liang
A1  - Lei, Guang-Hua
A1  - Li, Yu-Jin
A1  - Tian, Geng
A1  - Li, Zong-Sheng
A1  - Cao, Yong
A1  - Ma, Li
T1  - Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey
JF  - Chinese Medical Journal
N2  - Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. 
Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. 
Results: NONFH was diagnosed in 218 subjects (0.725%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02% vs. 0.51%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85% vs. 0.61%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. 
Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis.
KW  - nontraumatic osteonecrosis of the femoral head
KW  - risk factors
KW  - idiopathic osteonecrosis
KW  - early-stage osteonecrosis
KW  - implantation
KW  - bone
KW  - marrow
KW  - follow-up
KW  - intake
KW  - avascular necrosis
KW  - occupational-status
KW  - cigarette smoking
KW  - alcohol
KW  - prevalence
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-138482
VL  - 128
IS  - 21
ER  - 
TY  - JOUR
A1  - Chen, Xing
A1  - Meng, Guoyun
A1  - Liao, Guanming
A1  - Rauch, Florian
A1  - He, Jiang
A1  - Friedrich, Alexandra
A1  - Marder, Todd B.
A1  - Wang, Nan
A1  - Chen, Pangkuan
A1  - Wang, Suning
A1  - Yin, Xiaodong
T1  - Highly Emissive 9-Borafluorene Derivatives: Synthesis, Photophysical Properties and Device Fabrication
JF  - Chemistry—A European Journal
N2  - A series of 9-borafluorene derivatives, functionalised with electron-donating groups, have been prepared. Some of these 9-borafluorene compounds exhibit strong yellowish emission in solution and in the solid state with relatively high quantum yields (up to 73.6 % for FMesB-Cz as a neat film). The results suggest that the highly twisted donor groups suppress charge transfer, but the intrinsic photophysical properties of the 9-borafluorene systems remain. The new compounds showed enhanced stability towards the atmosphere, and exhibited excellent thermal stability, revealing their potential for application in materials science. Organic light-emitting diode (OLED) devices were fabricated with two of the highly emissive compounds, and they exhibited strong yellow-greenish electroluminescence, with a maximum luminance intensity of >22 000 cd m\(^{-2}\). These are the first two examples of 9-borafluorene derivatives being used as light-emitting materials in OLED devices, and they have enabled us to achieve a balance between maintaining their intrinsic properties while improving their stability.
KW  - boron heterocycles
KW  - photophysics
KW  - organic light-emitting diodes
KW  - luminescence
KW  - density functional calculations
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-256738
VL  - 27
IS  - 20
ER  - 
TY  - JOUR
A1  - Bousquet, Jean
A1  - Anto, Josep M.
A1  - Bachert, Claus
A1  - Haahtela, Tari
A1  - Zuberbier, Torsten
A1  - Czarlewski, Wienczyslawa
A1  - Bedbrook, Anna
A1  - Bosnic‐Anticevich, Sinthia
A1  - Walter Canonica, G.
A1  - Cardona, Victoria
A1  - Costa, Elisio
A1  - Cruz, Alvaro A.
A1  - Erhola, Marina
A1  - Fokkens, Wytske J.
A1  - Fonseca, Joao A.
A1  - Illario, Maddalena
A1  - Ivancevich, Juan‐Carlos
A1  - Jutel, Marek
A1  - Klimek, Ludger
A1  - Kuna, Piotr
A1  - Kvedariene, Violeta
A1  - Le, LTT
A1  - Larenas‐Linnemann, Désirée E.
A1  - Laune, Daniel
A1  - Lourenço, Olga M.
A1  - Melén, Erik
A1  - Mullol, Joaquim
A1  - Niedoszytko, Marek
A1  - Odemyr, Mikaëla
A1  - Okamoto, Yoshitaka
A1  - Papadopoulos, Nikos G.
A1  - Patella, Vincenzo
A1  - Pfaar, Oliver
A1  - Pham‐Thi, Nhân
A1  - Rolland, Christine
A1  - Samolinski, Boleslaw
A1  - Sheikh, Aziz
A1  - Sofiev, Mikhail
A1  - Suppli Ulrik, Charlotte
A1  - Todo‐Bom, Ana
A1  - Tomazic, Peter‐Valentin
A1  - Toppila‐Salmi, Sanna
A1  - Tsiligianni, Ioanna
A1  - Valiulis, Arunas
A1  - Valovirta, Erkka
A1  - Ventura, Maria‐Teresa
A1  - Walker, Samantha
A1  - Williams, Sian
A1  - Yorgancioglu, Arzu
A1  - Agache, Ioana
A1  - Akdis, Cezmi A.
A1  - Almeida, Rute
A1  - Ansotegui, Ignacio J.
A1  - Annesi‐Maesano, Isabella
A1  - Arnavielhe, Sylvie
A1  - Basagaña, Xavier
A1  - D. Bateman, Eric
A1  - Bédard, Annabelle
A1  - Bedolla‐Barajas, Martin
A1  - Becker, Sven
A1  - Bennoor, Kazi S.
A1  - Benveniste, Samuel
A1  - Bergmann, Karl C.
A1  - Bewick, Michael
A1  - Bialek, Slawomir
A1  - E. Billo, Nils
A1  - Bindslev‐Jensen, Carsten
A1  - Bjermer, Leif
A1  - Blain, Hubert
A1  - Bonini, Matteo
A1  - Bonniaud, Philippe
A1  - Bosse, Isabelle
A1  - Bouchard, Jacques
A1  - Boulet, Louis‐Philippe
A1  - Bourret, Rodolphe
A1  - Boussery, Koen
A1  - Braido, Fluvio
A1  - Briedis, Vitalis
A1  - Briggs, Andrew
A1  - Brightling, Christopher E.
A1  - Brozek, Jan
A1  - Brusselle, Guy
A1  - Brussino, Luisa
A1  - Buhl, Roland
A1  - Buonaiuto, Roland
A1  - Calderon, Moises A.
A1  - Camargos, Paulo
A1  - Camuzat, Thierry
A1  - Caraballo, Luis
A1  - Carriazo, Ana‐Maria
A1  - Carr, Warner
A1  - Cartier, Christine
A1  - Casale, Thomas
A1  - Cecchi, Lorenzo
A1  - Cepeda Sarabia, Alfonso M.
A1  - H. Chavannes, Niels
A1  - Chkhartishvili, Ekaterine
A1  - Chu, Derek K.
A1  - Cingi, Cemal
A1  - Correia de Sousa, Jaime
A1  - Costa, David J.
A1  - Courbis, Anne‐Lise
A1  - Custovic, Adnan
A1  - Cvetkosvki, Biljana
A1  - D'Amato, Gennaro
A1  - da Silva, Jane
A1  - Dantas, Carina
A1  - Dokic, Dejan
A1  - Dauvilliers, Yves
A1  - De Feo, Giulia
A1  - De Vries, Govert
A1  - Devillier, Philippe
A1  - Di Capua, Stefania
A1  - Dray, Gerard
A1  - Dubakiene, Ruta
A1  - Durham, Stephen R.
A1  - Dykewicz, Mark
A1  - Ebisawa, Motohiro
A1  - Gaga, Mina
A1  - El‐Gamal, Yehia
A1  - Heffler, Enrico
A1  - Emuzyte, Regina
A1  - Farrell, John
A1  - Fauquert, Jean‐Luc
A1  - Fiocchi, Alessandro
A1  - Fink‐Wagner, Antje
A1  - Fontaine, Jean‐François
A1  - Fuentes Perez, José M.
A1  - Gemicioğlu, Bilun
A1  - Gamkrelidze, Amiran
A1  - Garcia‐Aymerich, Judith
A1  - Gevaert, Philippe
A1  - Gomez, René Maximiliano
A1  - González Diaz, Sandra
A1  - Gotua, Maia
A1  - Guldemond, Nick A.
A1  - Guzmán, Maria‐Antonieta
A1  - Hajjam, Jawad
A1  - Huerta Villalobos, Yunuen R.
A1  - Humbert, Marc
A1  - Iaccarino, Guido
A1  - Ierodiakonou, Despo
A1  - Iinuma, Tomohisa
A1  - Jassem, Ewa
A1  - Joos, Guy
A1  - Jung, Ki‐Suck
A1  - Kaidashev, Igor
A1  - Kalayci, Omer
A1  - Kardas, Przemyslaw
A1  - Keil, Thomas
A1  - Khaitov, Musa
A1  - Khaltaev, Nikolai
A1  - Kleine‐Tebbe, Jorg
A1  - Kouznetsov, Rostislav
A1  - Kowalski, Marek L.
A1  - Kritikos, Vicky
A1  - Kull, Inger
A1  - La Grutta, Stefania
A1  - Leonardini, Lisa
A1  - Ljungberg, Henrik
A1  - Lieberman, Philip
A1  - Lipworth, Brian
A1  - Lodrup Carlsen, Karin C.
A1  - Lopes‐Pereira, Catarina
A1  - Loureiro, Claudia C.
A1  - Louis, Renaud
A1  - Mair, Alpana
A1  - Mahboub, Bassam
A1  - Makris, Michaël
A1  - Malva, Joao
A1  - Manning, Patrick
A1  - Marshall, Gailen D.
A1  - Masjedi, Mohamed R.
A1  - Maspero, Jorge F.
A1  - Carreiro‐Martins, Pedro
A1  - Makela, Mika
A1  - Mathieu‐Dupas, Eve
A1  - Maurer, Marcus
A1  - De Manuel Keenoy, Esteban
A1  - Melo‐Gomes, Elisabete
A1  - Meltzer, Eli O.
A1  - Menditto, Enrica
A1  - Mercier, Jacques
A1  - Micheli, Yann
A1  - Miculinic, Neven
A1  - Mihaltan, Florin
A1  - Milenkovic, Branislava
A1  - Mitsias, Dimitirios I.
A1  - Moda, Giuliana
A1  - Mogica‐Martinez, Maria‐Dolores
A1  - Mohammad, Yousser
A1  - Montefort, Steve
A1  - Monti, Ricardo
A1  - Morais‐Almeida, Mario
A1  - Mösges, Ralph
A1  - Münter, Lars
A1  - Muraro, Antonella
A1  - Murray, Ruth
A1  - Naclerio, Robert
A1  - Napoli, Luigi
A1  - Namazova‐Baranova, Leyla
A1  - Neffen, Hugo
A1  - Nekam, Kristoff
A1  - Neou, Angelo
A1  - Nordlund, Björn
A1  - Novellino, Ettore
A1  - Nyembue, Dieudonné
A1  - O'Hehir, Robyn
A1  - Ohta, Ken
A1  - Okubo, Kimi
A1  - Onorato, Gabrielle L.
A1  - Orlando, Valentina
A1  - Ouedraogo, Solange
A1  - Palamarchuk, Julia
A1  - Pali‐Schöll, Isabella
A1  - Panzner, Peter
A1  - Park, Hae‐Sim
A1  - Passalacqua, Gianni
A1  - Pépin, Jean‐Louis
A1  - Paulino, Ema
A1  - Pawankar, Ruby
A1  - Phillips, Jim
A1  - Picard, Robert
A1  - Pinnock, Hilary
A1  - Plavec, Davor
A1  - Popov, Todor A.
A1  - Portejoie, Fabienne
A1  - Price, David
A1  - Prokopakis, Emmanuel P.
A1  - Psarros, Fotis
A1  - Pugin, Benoit
A1  - Puggioni, Francesca
A1  - Quinones‐Delgado, Pablo
A1  - Raciborski, Filip
A1  - Rajabian‐Söderlund, Rojin
A1  - Regateiro, Frederico S.
A1  - Reitsma, Sietze
A1  - Rivero‐Yeverino, Daniela
A1  - Roberts, Graham
A1  - Roche, Nicolas
A1  - Rodriguez‐Zagal, Erendira
A1  - Rolland, Christine
A1  - Roller‐Wirnsberger, Regina E.
A1  - Rosario, Nelson
A1  - Romano, Antonino
A1  - Rottem, Menachem
A1  - Ryan, Dermot
A1  - Salimäki, Johanna
A1  - Sanchez‐Borges, Mario M.
A1  - Sastre, Joaquin
A1  - Scadding, Glenis K.
A1  - Scheire, Sophie
A1  - Schmid‐Grendelmeier, Peter
A1  - Schünemann, Holger J.
A1  - Sarquis Serpa, Faradiba
A1  - Shamji, Mohamed
A1  - Sisul, Juan‐Carlos
A1  - Sofiev, Mikhail
A1  - Solé, Dirceu
A1  - Somekh, David
A1  - Sooronbaev, Talant
A1  - Sova, Milan
A1  - Spertini, François
A1  - Spranger, Otto
A1  - Stellato, Cristiana
A1  - Stelmach, Rafael
A1  - Thibaudon, Michel
A1  - To, Teresa
A1  - Toumi, Mondher
A1  - Usmani, Omar
A1  - Valero, Antonio A.
A1  - Valenta, Rudolph
A1  - Valentin‐Rostan, Marylin
A1  - Pereira, Marilyn Urrutia
A1  - van der Kleij, Rianne
A1  - Van Eerd, Michiel
A1  - Vandenplas, Olivier
A1  - Vasankari, Tuula
A1  - Vaz Carneiro, Antonio
A1  - Vezzani, Giorgio
A1  - Viart, Frédéric
A1  - Viegi, Giovanni
A1  - Wallace, Dana
A1  - Wagenmann, Martin
A1  - Wang, De Yun
A1  - Waserman, Susan
A1  - Wickman, Magnus
A1  - Williams, Dennis M.
A1  - Wong, Gary
A1  - Wroczynski, Piotr
A1  - Yiallouros, Panayiotis K.
A1  - Yusuf, Osman M.
A1  - Zar, Heather J.
A1  - Zeng, Stéphane
A1  - Zernotti, Mario E.
A1  - Zhang, Luo
A1  - Shan Zhong, Nan
A1  - Zidarn, Mihaela
T1  - ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice
JF  - Allergy
N2  - Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
KW  - ARIA
KW  - asthma
KW  - CARAT
KW  - digital transformation of health and care
KW  - MASK
KW  - rhinitis
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228339
VL  - 76
IS  - 1
SP  - 168
EP  - 190
ER  -