546,344 research outputs found
Yang, Y.C., Yin, Z.W. & Yu, W.D. (2012) A new species of Tyrinasius Kurbatov (Coleoptera, Staphylinidae, Pselaphinae) from Ningxia, Northwest China. Zootaxa, 3401, 60-62.
No full textYANG, Y. C., YIN, Z. W., YU, W. D. (2012): Yang, Y.C., Yin, Z.W. & Yu, W.D. (2012) A new species of Tyrinasius Kurbatov (Coleoptera, Staphylinidae, Pselaphinae) from Ningxia, Northwest China. Zootaxa, 3401, 60-62. Zootaxa 3495 (1): 88, DOI: 10.11646/zootaxa.3495.1.7, URL: http://dx.doi.org/10.11646/zootaxa.3495.1.
Expression and characterization of the prtV gene encoding a collagenase from Vibrio parahaemolyticus in Escherichia coli
No full textDetermination of algebraic relations among special zeta values in positive characteristic
No full textLocal subspace identification of distributed homogeneous systems with general interconnection patterns
Full text linkThis paper studies the local identification of large-scale homogeneous systemswith general network topologies. The considered local system identification problem involves unmeasurable signals between neighboring subsystems. Compared with our previous work in Yu et al. (2014) which solves the local identification of 1D homogeneous systems, the main challenge of this work is how to deal with the general network topology. To overcome this problem, we first decompose the interested local system into separate subsystems using some state, input and output transform, namely the spatially lifted local system has block diagonal system matrices.We subsequently estimate the Markov parameters of the local system by solving a nuclear norm regularized optimization problem. To realize the state-space system model from the estimated Markov parameters, another nuclear norm regularized optimization problem is provided by taking into account of the inherent dependence of a redundant parameter vector. Finally, the overall identification procedure is summarized.Accepted Author ManuscriptTeam Michel Verhaege
Textbook of neonatal medicine : a Chinese perspective
No full textThis authoritative and comprehensive text is written by an internationally renowned group of medical experts of Chinese ethnic origin from the mainland, Taiwan, Hong Kong and six other countries. As a scientific and clinically practical review of current knowledge on medical care of normal and high-risk infants, this book covers the essentials of modern neonatal medicine. Conditions which are common or life-threatening have been selected for detailed description, while sufficient information is provided on uncommon or less serious problems to help gain an understanding of how they are best managed. A special emphasis has been put on describing experiences which are unique to Chinese infants. The 91 chapters reflect the personal interest and experience of the 77 contributors whose contemporary view and practical approach should prove useful for postgraduate trainees and specialists wishing to keep themselves up to date in neonatal medicinepublished_or_final_versionEditorsContributorsForewordsPrefaceIndex p8971 Organisation of Perinatal Care / Shoo K. Lee p32 Organisation of Neonatal Intensive Care / Keng-Wee Tan p93 The Expanded Role of Neonatal Nursing / Thomas T. W. Chiu p214 Perinatal-Neonatal Audit / Pak-Cheung Ng p335 Neonatal Intensive Care in Developing Countries / Chap -Yung Yeung p436 Prenatal Diagnosis for Paediatricians / Emily W. Y. Ling p517 Maternal Diseases Affecting the Fetus / Xing-Guo Liu p638 Antepartum Fetal Assessment / David T. Y. Liu p699 Intrapartum Fetal Assessment / Sze-Ya Yeh p7710 Prematurity / Tai-Fai Fok p8511 Small for Gestational Age Infants / Kuo-Inn Tsou Yau p9912 Drugs Used in Pregnancy Affecting the Fetus / Xing- Guo Liu p10913 Delivery Room Resuscitation / Gary M. Chan p11714 Perinatal Asphyxia / Victor Y. H. Yu p12515 Physical Examination / Chin-Theam Lim p13516 Birth Injuries / Nem-Yun Boo p14517 Neonatal Screening / Louis C. K. Low p15918 Care of the Normal Neonate / Michael C. K. Chan p17119 Thermoregulation / Yuh-Jyh Lin p17720 Neonatal Hypothermia and Scleroedema / Wen-Lan Hong p18721 Fluid Homeostasis / Paul Y. K. Wu p19522 Feeding the Normal Term Infant / Gary M. Chan p20723 Feeding the Preterm Infant / Victor Y. H. Yu p21524 Mineral Requirements / Winston W. K. Koo p22525 Parenteral Nutrition / Victor Y. H. Yu p23526 Respiratory Physiology / Kei Liu p24527 Prevention of Respiratory Distress Syndrome / Victor Y. H. Yu p25528 Respiratory Distress Syndrome / Tai-Fai Fok p26529 Meconium Aspiration Syndrome / Chyi-Her Lin p27530 Pneumonia / Zhi-Zhi Xu p27931 Pulmonary Haemorrhage / Yan-Ming Xie p28532 Pulmonary Air Leak / Yu-Ming Zhang p28933 Assisted Ventilation / Jen-Tien Wung p29734 Chronic Lung Disease / Victor Y. H. Yu p30935 Apnoea / Lai-Yun Ho p31936 Congenital Diaphragmatic Hernia / Jen-Tien Wung p33337 Cardiovascular Adaptation to Postnatal Life / Alice C. Yao p34338 Persistent Pulmonary Hypertension / Victor Y. H. Yu p35539 Patent Ductus Arteriosus / Yuh-Jyh Lin p36340 Evaluation and Management of Cardiac Disease / Maurice P. Leung p37141 Medical and Surgical Therapy of Cardiac Disease / Maurice P. Leung p38342 Arrhythmias / Pierre C. Wong p39543 Neonatal Shock / Yu-Kun Han p40944 Neonatal Jaundice / Kim-Leong Tan p41745 Feeding Problems / De-Ming Huang p42946 Necrotising Enterocolitis / Victor Y. H. Yu p43747 Cholestasis in Infancy / Mei-Hwei Chang p45148 Disorders of Blood Glucose Homeostasis / Katherine C. H. King p46549 Infant of the Diabetic Mother / Hun-Seng Chao p47950 Metabolic Bone Diseases / Winston W. K. Koo p48751 Congenital Hypothyroidism / Xi-Ji Guan p49552 Hereditary Metabolic Diseases / Paul W. K. Wong p50353 Miscellaneous Endocrine Problems / Louis C. K. Low p51354 Haemolytic Disease of the Newborn / Shu-Zhong Shi p52555 Polycythaemia-Hyperviscosity Syndrome / Wan-Jun Liu p53156 Miscellaneous Haematological Disorders / Ka-Wah Chan p53757 Red Blood Cell Transfusion / Victor Y. H. Yu p54558 Acute Renal Failure / Ke-Lun Wei p55359 Neonatal Renal Disorders / Sik-Nin Wong p55960 Neonatal Neurological Assessment / Barbara Lam p57161 Hypoxic-Ischaemic Encephalopathy / Victor Y. H. Yu p57962 Intracranial Haemorrhage / Barbara Lam p58963 Neonatal Seizures / Zi-Li Chen p59964 Neonatal Pain / T. H. H. Guan Koh p60765 Intrauterine Infections / Cheng T. Cho p61966 Immunological Defences / Yu-Lung Lau p63567 Bacterial Infections / Cheng T. Cho p64968 Neonatal Tetanus / Michael C. K. Chan p66169 Fungal Infections / Pak-Cheung Ng p66570 Nosocomial Infections and Infection Control / Tom D. Y. Chin p67771 Neonatal Immunisation / Yu-Lung Lau p68572 Applications of DNA Technology in Clinical Genetics / Ivy Ng p69973 Chromosome Abnormalities / Lai-Yun Ho p70574 Congenital Malformations / Nai-Kiong Ho p71775 The Dysmorphic Infant / Lai-Yun Ho p72376 Mode of Inheritance / Lai-Yun Ho p73177 Genetic Counselling / Lai-Yun Ho p74178 Practical Neonatal Procedures / Chin-Theam Lim p75179 Neonatal Pharmacology / Emily W. Y. Ling p76380 Neonatal Anaesthesia / Lena S. Sun p79381 Neonatal Surgery / Chung-Kwong Yeung p80382 Communicating with Parents of Sick Babies / T. H. H. Guan Koh p81983 Outcome of Very Low Birthweight Infants / Victor Y. H. Yu p82984 Costs of Neonatal Intensive Care and Long-Term Disabilities / Shoo K. Lee p83985 Ethical Issues in Neonatal Intensive Care / Emily W. Y. Ling p84786 Perinatal-Neonatal Health Care in China / Xiao-Cheng Ji p85987 Intrauterine Growth Retardation in China: Fetal Aspects / Xing-Hua Huang p86588 Intrauterine Growth Retardation in China: Neonatal Aspects / Shi-Min Zhao p87189 Chinese Neonates Are Different / Chap-Yung Yeung p87790 Neonatal Sepsis in China / Shi-Xiao Wu p88591 Traditional Chinese Neonatal Medicine / Bao-Lin Zhang p88
Mechanical properties of SFRC: Database construction and model prediction
No full textDispersing steel fibers into plain concrete has been verified as an effective way to enhance the bearing capacity of structural components. To date, however, the effects of fibers on the basic mechanical properties of Steel Fiber Reinforced Concrete (SFRC) and their uncertainties are not well documented and there are no accurate models that can predict their mechanical properties. This greatly limits the application in real constructions. Considering such a situation, three aspects of works were conducted in this study to alleviate that difficulty, those are, building test database and checking the statistical distribution, reviewing and assessing existing models, and establishing highly-accurate models applied to estimate the compressive, tension and flexural properties of SFRC. To achieve the first two goals, a large database containing 1038 experimental records was compiled from existing publications and 145 predictive expressions were collected from the available literature. The last object was obtained by conducting Bayesian model updating analysis. It was finally found from the present study that: (a) Steel fibers can effectively enhance plain concrete's compressive, tensile and flexural strengths, but induce greater variability in those indexes. That variability is well described with a lognormal probability distribution. (b) Expressions proposed by Abbass and by Padmarajaiah generally give the most accurate predictions for the compressive strength and elastic modulus, while the formulas of Chinese code JG/T472–2015 and Padmarajaiah give the most accurate tensile and flexural strengths. (c) Because of combining advantages of the experience of the prior model and the accuracy of the test records, Bayesian updating method based analytical model usually possesses an obviously high precision
Scanning tunneling spectroscopy on YBa2Cu3Oy/PrBa2Cu3Oy/YBa2Cu3Oy sandwiched junctions and YBa2Cu3Oy/Y0.5Pr0.5Ba2Cu3Oy superlattices
No full textMEMS Heat Transfer Arnoldi-based Macromodels and The Guideline of Choosing Minimum Required Orders
No full textLearning discriminative region representation for person retrieval
No full textRegion-level representation learning plays a key role in providing discriminative information for person retrieval. Current methods rely on heuristically coarse-grained region strips or directly borrow pixel-level annotations from pretrained human parsing models for region representation learning. How to learn a discriminative region representation within fine-grained segments while avoiding expensive pixel-level annotations is rarely discussed. To that end, we introduce a novel identity-guided human region segmentation (HRS) method for person retrieval. Via learning a set of distinct region bases that are consistent across a given dataset, HRS can predict informative region segments by grouping intermediate feature vectors based on their similarity to these bases. The predicted segments are iteratively refined for discriminative region representation learning. HRS enjoys two advantages: (1) HRS learns region segmentation using only identity labels, making it a much more practical solution to person retrieval. (2) By jointly learning global appearance and local granularity cues, HRS enables a comprehensive feature representation learning. We verify the effectiveness of the proposed HRS on four challenging benchmark datasets of Market1501, DukeMTMC-reID, CUHK03, and Occluded-DukeMTMC. Extensive experiments demonstrate superior performance over the state-of-the-art region-based methods. For instance, on the CUHK03-labeled dataset, the performance increases from 74.1% mAP and 76.5% rank-1 accuracy to 81.5% ( +7 . 4 %) mAP and 83.2% ( +6 . 7 %) rank-1 accuracy.Yang Zhao, Xiaohan Yu, Yongsheng Gao, Chunhua She
Phosphorylation status of transcription factor C/EBPα determines cell surface poly-LacNAc branching (I antigen) formation in erythropoiesis and granulopoiesis
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