Immunomodulation of ovalbumin-specific IgG and other classes of antibody response by honey in mice     

Govinda Rao Duddukuri  Y. Vasudeva Rao  D. N. Rao  Rao R Athota 《Indian journal of clinical biochemistry : IJCB》2001,16(1):89-94

It was reported earlier that intraperitoneal administration of honey had immunosuppressive activity on elicitation of allergen-specific murine antibody response as evaluated by passive cutaneous anaphylaxis and double immunodiffusion methods. In this study, the immunomudulatory effect of honey is evaluated by enzyme linked immunosorbent assay (ELISA) using ovalbumin as model allergen. It was found that ovalbumin (OVA)-specific IgG antibody responses elicited with various doses of OVA were significantly suppressed by rock bee honey (p<0.01). Honey was also found to have inhibited the production of OVA-specific IgM, IgA, IgG₁, and IgG_2b whereas that of IgG_2a and IgG₃ were not affected. Furthermore, honey also suppressed the OVA-specific total IgG antibody response in various inbred mice with different genetic background. In addition, the suppressive activity of honey was examined in different groups of mice by injecting honey at different time intervals, before and after immunization with OVA. The anti-OVA IgG antibody response was suppressed significantly when honey was injected 12 hours prior/latter to OVA injection. These results confirm the suppressive activity of honey on antibody response and suggest possible clinical application.  相似文献   

影响矩作为测度单篇论著影响力的评价指标探讨   总被引：1，自引：1，他引：1  

王术  叶鹰 《大学图书馆学报》2014,32(5):12-18

把评价视向由针对学术主体转向针对学术客体,提出着眼于单篇论著影响力评价的影响矩指标。影响矩M被定义为单篇论著影响学者力A及其影响跨度D的乘积,M越大,影响越大。通过对测算样本集和校验样本集的数据分析,显示影响矩M与总被引C及h指数的相关系数都在0.6以上,表明影响矩可以作为测评单篇论著影响力的独立指标。  相似文献   

Coherent Resonant Tunneling through Double Metallic QuantumWell States     

B.S.Tao  C.H.Wan  P.Tang  J.F.Feng  H.X.Wei  X.Wang  S.Andrieu  H.X.Yang  M.Chshiev  X.Devaux  T.Hauet  F.Montaigne  S.Mangi  M.Heh  D.Lacour  X.F.Han  Y.Lu 《中国科学院院刊(英文版)》2019,(2)

<正>Due to its far-reaching scientific impact and broad applications, coherent resonant tunneling effect in magnetic tunnel junctions has aroused intensive interest from spintronic and semiconductor communities. Actually, resonant tunneling effect has been verified and utilized in semiconductor-based multiquantum wells, such as resonant tunneling diode and light-emitting diodes with multiple quantum wells and etc. However, coherent resonant tunneling effect through metallic multi-quantum wells has been rarely reported  相似文献   

Cultural Diplomacy and Internationalization of Higher Education: The Experience of Three Confucius Institutes in Canada     

Covina Y. W. KWAN 《Frontiers of Education in China》2014,9(1):110-126

This paper is based on a study of three Confucius Institutes in Canada. The research aims to explore the nature of operations at Confucius Institutes, ranging from the selection of partnering Chinese universities, to the program planning at each individual site. Specifically, it focuses on the perceived impacts of the Confucius Institute partnership on the Canadian hosting institutions. Data was collected through interviews with key administrative staff from three Canadian universities. The theoretical framework of constructivism from international relations theory and concepts drawn from the literature on the internationalization of higher education were used to analyze the findings. Key issues revealed from the data include the host’s perception of Confucius Institutes as China’s cultural diplomacy and soft power strategy, the progression of partnerships between Canada and China over time, and university autonomy.  相似文献   

Does maximalist footwear lower impact loading during level ground and downhill running?     

Zoe Y. S. Chan  Ivan P. H. Au  Fannie O. Y. Lau  Eric C. K. Ching  Janet H. Zhang  Roy T. H. Cheung 《European Journal of Sport Science》2018,18(8):1083-1089

A new model of running shoes which features an extreme cushioning and an oversized midsole, known as the maximalist (MAX) was launched. This design claims to provide excellent shock absorption, particularly during downhill running. This study sought to assess the effects of MAX on the external impact loading, footstrike pattern, and stride length during level ground and downhill running on an instrumented treadmill. Twenty-seven distance runners completed four 5-minute running trials in the two footwear conditions (MAX and traditional running shoes (TRS)) on a level surface (0%) and downhill (10%-declination). Average and instantaneous loading rates (ILRs), footstrike pattern and stride length were measured during the last minute of each running trial. A 12% greater ILR was observed in downhill running with MAX (p?=?.045; Cohen’s d?=?0.44) as compared to TRS. No significant difference was found in the loading rates (p?>?.589) and stride length (p?=?.924) when running on a level surface. Majority of runners maintained the same footstrike pattern in both footwear conditions. Findings of this study suggested that MAX might not reduce the external impact loading in runners during level and downhill treadmill running. Instead, this type of footwear may conceivably increase the external impact loading during downhill treadmill running.  相似文献   

A Compressive Privacy approach to Generalized Information Bottleneck and Privacy Funnel problems     

S.Y. Kung 《Journal of The Franklin Institute》2018,355(4):1846-1872

This paper explores a Compressive Privacy (CP) methodology for optimal tradeoff between utility gain and privacy loss. CP represents a dimension-reduced subspace design of optimally desensitized query that may be safely shared with the public. Built upon the information and estimation theory, this paper proposes a “differential mutual information” (DMI) criterion to safeguard the privacy protection (PP). Algorithmically, DMI-optimal solutions can be derived via the Discriminant Component Analysis (DCA). Moreover, DCA has two machine learning variants (one in the original space and another is the kernel space) good for supervised learning applications. By extending the notion of DMI to the utility gain and privacy loss, CP unifies the conventional Information Bottleneck (IB) and Privacy Funnel (PF) and lead to two constrained optimizers, named Generalized Information Bottleneck (GIB) and Generalized Privacy Funnel (GPF). In the supervised learning environments, DCA can be further extended to a DUCA machine learning variant to reach an optimal tradeoff between utility gain and privacy loss. Finally, for fast convergence, a golden-section iterative method is developed particularly for solving the two constrained optimization problems: GIB and GPF.  相似文献   

RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays     

Jorge D. Rios  Alma Y. Alanis  Carlos Lopez-Franco  Nancy Arana-Daniel 《Journal of The Franklin Institute》2018,355(1):218-249

This work presents a neural identifier-control scheme for uncertain nonlinear discrete-time systems with unknown time-delays. This scheme is based on a neural identifier to get a model of the system and a discrete-time block control technique based on sliding modes to generate the control law. The neural identifier is based on a Recurrent High Order Neural Network (RHONN) trained with an Extended Kalman Filter (EKF) based algorithm. Applicability is shown using real-time test results for linear induction motors. Also, a Lyapunov analysis is added in order to prove the semi-globally uniformly ultimately boundedness (SGUUB) of the proposed neural identifier-control scheme.  相似文献   

Data filtering based maximum likelihood extended gradient method for multivariable systems with autoregressive moving average noise     

Feiyan Chen  Feng Ding  Ling Xu  Tasawar Hayat 《Journal of The Franklin Institute》2018,355(7):3381-3398

For multivariable systems with autoregressive moving average noises, we decompose the multivariable system into m subsystems (m denotes the number of outputs) and present a maximum likelihood generalized extended gradient algorithm and a data filtering based maximum likelihood extended gradient algorithm to estimate the parameter vectors of these subsystems. By combining the maximum likelihood principle and the data filtering technique, the proposed algorithms are effective and have computational advantages over existing estimation algorithms. Finally, a numerical simulation example is given to support the developed methods and to show their effectiveness.  相似文献   

A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation     

Feng Ding  Huibo Chen  Ling Xu  Jiyang Dai  Qishen Li  Tasawar Hayat 《Journal of The Franklin Institute》2018,355(8):3737-3752

Mathematical models are basic for designing controller and system identification is the theory and methods for establishing the mathematical models of practical systems. This paper considers the parameter identification for Hammerstein controlled autoregressive systems. Using the key term separation technique to express the system output as a linear combination of the system parameters, the system is decomposed into several subsystems with fewer variables, and then a hierarchical least squares (HLS) algorithm is developed for estimating all parameters involving in the subsystems. The HLS algorithm requires less computation than the recursive least squares algorithm. The computational efficiency comparison and simulation results both confirm the effectiveness of the proposed algorithms.  相似文献   

Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems     

Lijuan Liu  Yan Wang  Cheng Wang  Feng Ding  Tasawar Hayat 《Journal of The Franklin Institute》2018,355(15):7609-7625

This paper focuses on the parameter estimation problems of multivariate equation-error systems. A recursive generalized extended least squares algorithm is presented as a comparison. Based on the maximum likelihood principle and the coupling identification concept, the multivariate equation-error system is decomposed into several regressive identification models, each of which has only a parameter vector, and a coupled subsystem maximum likelihood recursive least squares identification algorithm is developed for estimating the parameter vectors of these submodels. The simulation example shows that the proposed algorithm is effective and has high estimation accuracy.  相似文献