SOME CONTRIBUTIONS TO THE CENSORED EMPIRICAL LIKELIHOOD WITH HAZARD-TYPE CONSTRAINTS

Empirical likelihood (EL) is a recently developed nonparametric method of statistical inference. Owen’s 2001 book contains many important results for EL with uncensored data. However, fewer results are available for EL with right-censored data. In this dissertation, we first investigate a right-censored-data extension of Qin and Lawless (1994). They studied EL with uncensored data when the number of estimating equations is larger than the number of parameters (over-determined case). We obtain results similar to theirs for the maximum EL estimator and the EL ratio test, for the over-determined case, with right-censored data. We employ hazard-type constraints which are better able to handle right-censored data. Then we investigate EL with right-censored data and a k-sample mixed hazard-type constraint. We show that the EL ratio test statistic has a limiting chi-square distribution when k = 2. We also study the relationship between the constrained Kaplan-Meier estimator and the corresponding Nelson-Aalen estimator. We try to prove that they are asymptotically equivalent under certain conditions. Finally we present simulation studies and examples showing how to apply our theory and methodology with real data

The Comparison of American and Chinese Family Education: Taking Modern Family as an Example

This paper compares some important family education phenomena in the TV serial--Modern Family which are obviously different in China. Then, this paper gives explanation from three main perspectives of beliefs, historical as well as welfare origin. And some implications are provided so as to help Chinese parents cast off obsolete thoughts and support all-round development of Chinese children

Three new species of Cymbella (Bacillariophyta) from high altitude lakes, China

This paper describes three new Cymbella species from high altitude lakes of Hengduan Mountains region, southwest China. Cymbella heihainensis Li et Gong nov.spec. is similar to C. modicepunctata Krammer, C. asiatica Metzeltin, Lange-Bertalot et Li, Y., but differs from them in valve size, stigmata, raphe ending and also striae number. Cymbella shudunensis Li et Metzeltin nov. spec. is related to C. terrafuegiana, but differs in wider valve size, larger central area and coarser puncta. C. shudunensis differs from C. proxima Reimer in Patrick et Reimer group in reverse lateral raphes at the proximal endings, and distinguished from C. cistula (Ehrenberg) O.Kirchner group in the absent central area on dorsal side. Cymbella xingyunnensis Li and Gong sp. nov. resembles the group around C. proxima, and the most similar taxon is C. sinensis Metzeltn et Krammer,which can be distinguished by its lack of stigmata

Numerical implementation of the Cubic Galileon model in

We present a perturbative treatment of non-linear galaxy clustering in the context of the cubic Galileon modified gravity model, in terms of second-order Lagrangian Perturbation theory and an extension of ellipsoidal collapse that includes Vainshtein screening. We numerically implement such prescriptions in the approximate pinocchio code, and use it to generate realizations of the matter density field and halo catalogues with different prescriptions for ellipsoidal collapse. We investigate the impact of three different approximations in the computation of collapse times on the halo mass function, halo bias, and matter power spectrum. In the halo mass function, both the modified gravity effect and the screening effect are significant in the high-mass end, similar to what is found for other MG models. We perform a comparison with N-body simulations to assess the validity of our approach, and show that we can reproduce the same trend observed in simulations for all quantities considered. With a simple modification to the grouping algorithm of pinocchio to take into account the gravity modification, and without the need to re-calibrate the algorithm, we show that we can reproduce the linear halo bias and the mildly non-linear matter power spectrum of simulations with good accuracy, especially for the implementation with Vainshtein screening. We stress that, while approximate, our method is orders of magnitude faster than a full N-body simulation, making it an optimal tool for the quick generation of large sets of halo catalogues for cosmological observables

Research on Multi-Dimensional Dynamic Clustering Method of Big Data Alliance Users

In order to improve the clustering accuracy of big data alliance users, this paper studies users\u27 dynamic clustering based on their multi-dimensional attributes. First of all, the user profile of big data alliance is constructed from five dimensions of user basic attribute, domain attribute, preference attribute, social attribute and value attribute. And the K-means algorithm is used to cluster user profiles to complete the initial clustering. Then, based on the group user profile, combined with the user\u27s recent dynamic behavior data, the FCM algorithm is used to achieve secondary clustering. Finally, the proposed user clustering method is tested by recommending data resources to the clustered user groups. The experimental results show that the user clustering method proposed in this paper has higher accuracy and lower error rate

An implementation of nDGP gravity in Pinocchio

In this paper we investigate dark matter structure formation in the normal branch of the Dvali-Gabadadze-Porrati (nDGP) model using the PINOCCHIO algorithm. We first present 2nd order Lagrangian perturbation theory for the nDGP model, which shows that the 1st- and 2nd-order growth functions in nDGP are larger than those in {\Lambda}CDM. We then examine the dynamics of ellipsoidal collapse in nDGP, which is accelerated compared to {\Lambda}CDM due to enhanced gravitational interactions. Running the nDGP-PINOCCHIO code with a box size of 512 Mpc/h and 1024*1024*1024 particles, we analyze the statistical properties of the output halo catalogs, including the halo power spectrum and halo mass function. The calibrated PINOCCHIO halo power spectrum agrees with N-body simulations within 5% in the comoving wavenumber range k < 0.3 (h/Mpc) at redshift z = 0. The agreement is extended to smaller scales for higher redshifts. For the cumulative halo mass function, the agreement between N-body and PINOCCHIO is also within the simulation scatter.Comment: 18 pages, 3 figure

Multiobjective Transmission Network Planning considering the Uncertainty and Correlation of Wind Power

In order to consider the uncertainty and correlation of wind power in multiobjective transmission network expansion planning (TNEP), this paper presents an extended point-estimation method to calculate the probabilistic power flow, based on which the correlative power outputs of wind farm are sampled and the uncertain multiobjective transmission network planning model is transformed into a solvable deterministic model. A modified epsilon multiobjective evolutionary algorithm is used to solve the above model and a well-distributed Pareto front is achieved, and then the final planning scheme can be obtained from the set of nondominated solutions by a fuzzy satisfied method. The proposed method only needs the first four statistical moments and correlation coefficients of the output power of wind farms as input information; the modeling of wind power is more precise by considering the correlation between wind farms, and it can be easily combined with the multiobjective transmission network planning model. Besides, as the self-adaptive probabilities of crossover and mutation are adopted, the global search capabilities of the proposed algorithm can be significantly improved while the probability of being stuck in the local optimum is effectively reduced. The accuracy and efficiency of the proposed method are validated by IEEE 24 as well as a real system

Discovery of multiple lead compounds as M2 inhibitors through the focused screening of a small primary amine library.

The discovery of new anti-influenza drugs is urgent, particularly considering the recent threat of swine flu. In this study, the influenza virus M2 protein was expressed in HEK293 cells and shown to have selective ion channel activity for monovalent ions. The anti-influenza virus drug amantadine hydrochloride significantly attenuated the inward current induced by hyperpolarization of HEK293 cell membranes. Although adamantine derivatives are the only M2 drugs for influenza virus A, their use is limited in the US due to drug resistance. Here we report the discovery of multiple M2 inhibitor lead compounds that were rapidly generated through focused screening of a small primary amine library. The screen was designed using a scaffold-hopping strategy based on amantadine. This study suggests that an antiviral compound directed against a conserved motif may be more useful than amantadine in inhibiting viral replication

Principles and key technologies for the large-scale ecological utilization of coal gangue

Coal is the main energy in our country and the ballast stone of energy security. As an inevitable product in the process of coal mining and coal washing, coal gangue has an annual output of more than 700 million tons, which is in urgent need of large-scale and ecological utilization to solve the problem of coal gangue as a stumbling block in enterprise development. Based on the analysis of the mechanism of ecological damage in large-scale utilization of coal gangue, the principle of large-scale ecological utilization of coal gangue was put forward, and the concrete solution of large-scale ecological utilization of environmental safety is discussed from the technical perspective. Two key technologies of large-scale ecological utilization was put forward, namely in-situ contamination control and ecological restoration of acid coal gangue mountain, and ground filling of coal gangue. The results demonstrated that: ① The key to large-scale ecological utilization of coal gangue is prevention and control of environmental contamination. Large-scale ecological utilization of coal gangue can be realized through the evaluation of the availability and economy of gangue that combined with environmental risk management. ② Realized the ecological utilization of accumulated gangue mountain by vegetation restoration based on in-situ contamination control, and developed an ecological utilization technology integrated with pollution source diagnosis, fire prevention, pollution barrier, and vegetation restoration. Based on the mechanism analysis of pollution caused by acid and heat production of gangue oxidation, thermal infrared coupled with surveying and mapping technology was uesd to locate the deep burning point (oxidation point) in gangue mountain; an oxidation inhibitor coupled with fungicide and reducing bacteria was invented, which covered with an inert materia and rolled to prevent oxygen and pollution; the fire-fighting technology combining shotcrete fire control and grouting is adopted in the spontaneous combustion area; and a fire-proof vegetation restoration technology based on local and grass irrigation was put forward, which realized in-situ contamination control and ecological restoration of acid coal gangue mountain.③ The ecological utilization of ground filling of coal gangue can be realized through the feasibility analysis of ecological utilization of ground filling, the technology of ecological utilization and the long-term monitoring of maintenance management. The key of ecological utilization is the contamination risk analysis of gangue material screening, the necessity and feasibility analysis of ground filling site selection, and environmental protection measures during the whole filling process, including safety and environmental protection measures such as anti-seepage barrier at the bottom of the site before filling, layered filling technology and soil profile reconstruction technology for fire prevention and acid control in filling, erosion control and vegetation restoration after filling. Large-scale ecological utilization of coal gangue not only solves the ecological environment problems caused by solid waste storage in mining areas, but also creates a new mode of ecological restoration in mining areas through scientific, safe, and reasonable utilization of new and dated gangue