Research on the Application of Green Lighting Technology in Sports Lighting

With China’s continued development of society and economy, the importance of ecological environmental protection is growing. This protection has become an indispensable part of social development. The use of various green environmental protection equipment can effectively promote ecological environmental protection and reduce the adverse effects of human activities on the environment. In the field of sports lighting equipment in China, traditional lighting methods constitute an inherent danger to the environment, leading to a waste of valuable resources and environmental pollution. This study involves a multi-tile-multifunctional-function controller, which effectively solves the control problem of the control light. In the sports lighting group, the high and low-level lighting of the sports lighting group, and adjust the light from the height highly effectively to adjust each height. The low-shot mode reduces the power consumption of the system by about 33% to 60%, which significantly helps energy saving. By optimizing the performance of the lighting system, promoting the preservation of power resources, reducing the adverse effects of pollution caused by equipment utilization and energy waste, and promoting the harmonious cohabitation of human and natural environment. .

Concept, Interests and Systems: Logical Consciousness of the China Campus Football Policy Trip

Based on the “Healthy China 2030 Planning Outline”, the literature method and logical analysis method are used to review and analyze the implementation process of China’s school football policy from three dimensions: value, interest appeal and institutional background. The study believes that in order to break through the bottleneck of policy implementation and improve the effect of policy implementation, it is necessary to establish correct values and form broad recognition of policies;meet the reasonable interests of all parties and form a synergy for policy implementation;optimize the institutional environment for policy implementation and form effective incentives.

异氰酸酯硬段对聚氨酯结构及性能的影响

异氰酸酯的种类和含量对所合成的聚氨酯性能有重要的影响。文中以聚四氢呋喃醚二醇(PTMG)为软段,甲苯二异氰酸酯(TDI)、二苯基甲烷二异氰酸酯(MDI)和六亚甲基二异氰酸酯(HDI)分别为硬段,采用预聚体法合成了一系列具有不同硬段及软硬段比例的聚氨酯,并通过红外光谱、小角X射线散射、动态力学热分析及热重分析等方法,研究了异氰酸酯种类及比例对聚氨酯软硬段相分离结构和性能的影响。结果表明,由柔性脂肪族异氰酸酯所合成的聚氨酯其相分离程度更大,软段和硬段所对应的玻璃化转变温度差异更大。由链段刚性较强的TDI所合成的聚氨酯相分离程度更小,软硬段的玻璃化转变温度相差不大,更适合用于阻尼吸音的聚氨酯材料。同时,提高异氰酸酯指数使硬段含量增加,链段运动更加困难,相分离程度有所降低,会使材料的力学性能有所提升,但是耐热性降低。

Application of Dual-Energy CT Non-Linear Fusion Technology in Improving CTA Image Quality of Renal Cancer

Objective: To explore the significance of dual-energy CT non-linear fusion technique in improving the quality of CTA image of renal cancer. Methods: The CTA images of 100 patients who had been confirmed by pathology as renal cancer were collected and were randomly divided into experimental group and control group with 50 cases respectively. The two groups of patients were treated with iodine concentration of 300 mg/ml and 350 mg/ml non-ionic contrast agent, with a dosage of 1.5 ml/kg and an injection rate of 4 ml/s. The contrast agent intelligently tracking method was adopted bolus. The control group used the conventional CTA scanning, with a reference tube voltage/tube current of 100 kv/ref150 mas. The experimental group adopted the double energy scanning, with ball tube A and ball tube B. The reference tube voltage/tube current was 100 kv/ref250 mas and sn150 kv/ref125 mas respectively. The images of the experimental group were non-linear fused to obtain the Mono+ 55 kev single-energy images. The CT value, SNR contrast ratio of the abdominal aorta, renal artery and tumor tissue of the experimental group images and the 100 KV images and the Mono+ 55 kev images of the control group were compared. The objective evaluation and subjective evaluation of the image quality of the three groups of images was performed. Results: The results showed that the 100 kV images of the experimental group were statistically different from those of the control group (P05) in CT value, SNR and CNR (P 0.05). And there was no statistically significant difference between the non-linear fusion single-energy Mono+ 55 kev images and the control group images in CT value, SNR and CNR (P > 0.05). The subjective evaluation of image quality showed that there was no significant difference between Mono+ 55 kev images and control group images, and the quality of Mono+ 55 kev images was higher than that of experimental group 100 kV images. Conclusion: The dual-energy CT non-linear fusion technique can improve the quality of CTA image in patients with renal cancer, and it is possible to obtain high quality CTA images with low iodine concentration contrast agent.

Significance of an Advanced Image-Based Virtual Monoenergetic Reconstruction of Dual Source Dual-Energy CT Data at Low keV Increases Image Quality for Portal Vein System of Pancreatic Cancer Patients

Purpose: To explore the significance of dual-source computed tomography (DECT) virtual monoenergetic reconstructions technology in improving image quality for portal vein system of pancreatic cancer patients. Materials and methods: 47 patients with clinically suspected pancreatic cancer (all confirmed by pathology) were collected. Routine plain scan was performed with Siemens Force dual-source dual-energy CT followed by 3 scans respectively carried out in arterial phase, portal phase and delayed phase. Traditional virtual monoenergetic reconstructions (Mono_E) and new generation of virtual monoenergetic reconstructions (Mono+) were respectively performed on portal vein images to obtain virtual single energy images including Mono_ E70 keV, Mono_E 55 keV and Mono+ 70 keV and Mono+ 55 keV. The signal-to-noise ratio (SNR) and noise of portal vein, normal pancreatic tissues and pancreatic lesions of 100 kV, Mono_E and Mono+ images were compared. In addition, the contrast noise ratio of portal vein and lesions as well as pancreatic tissues and lesions (CNR PV, CNRtumor) were also compared. At the same time, two imaging physicians with rich clinical experiences read the films and scored the images of each group by using the 5-point scoring method. Results: Mono+ 55 keV images including SNRpv, SNRpanc, SNRtumor, Noise, CNRpv, CNRtumor were statistically different from 100 KV images and Mono_E images (P < 0.05). As for the subjective score, Mono+ 55 keV image score also had the highest score, which had statistical significance (P < 0.05). The results showed that Mono+ 55 keV images had the best quality. Conclusion: The new generation of virtual Mono+ post-treatment can reduce image noise. Low energy Mono+ images can improve the contrast between pancreatic cancer lesions and portal of pancreatic cancer patients.

Engineering Antibody Fragment with the Quantum Dot in Cancer Cell Imaging and Diagnosis

The conjugates of monoclonal antibodies and nanoparticles, including quantum-dot(QD), offer significant advantages over conventional fluorescent probes to image and study biological processes. The extend stability, intense fluorescence and low toxicity of QDs are well suited for biological applications. In the present study, we used QD-conjugated anti-glucose-regulated protein 78(GRP78) antibody to examine the gene expression in prostate cancer cells under the unfolded protein response (UPR). QDs have got unique, simple and fast properties over current diagnostic techniques such as peroxidase-based immunohistochemical staining procedures, therefore the nanocarrier-conjugated antibody fragment has potential to become a new therapeutic tool for cancer diagnosis and treatment.

Computational Methods for Prediction of Human Protein-Phenotype Associations:A Review

Deciphering the relationship between human proteins(genes)and phenotypes is one of the fundamental tasks in phenomics research.The Human Phenotype Ontology(HPO)builds upon a standardized logical vocabulary to describe the abnormal phenotypes encountered in human diseases and paves the way towards the computational analysis of their genetic causes.To date,many computational methods have been proposed to predict the HPO annotations of proteins.In this paper,we conduct a comprehensive review of the existing approaches to predicting HPO annotations of novel proteins,identifying missing HPO annotations,and prioritizing candidate proteins with respect to a certain HPO term.For each topic,we first give the formalized description of the problem,and then systematically revisit the published literatures highlighting their advantages and disadvantages,followed by the discussion on the challenges and promising future directions.In addition,we point out several potential topics to be worthy of exploration including the selection of negative HPO annotations and detecting HPO misannotations.We believe that this review will provide insight to the researchers in the field of computational phenotype analyses in terms of comprehending and developing novel prediction algorithms.

Model-based small area estimation with no samples within the areas,by benchmarking to marginal cross-sectional and time-series estimates

Official monthly U.S.labour force estimation at the sub-State level(mostly counties)is based on what is known as the‘Handbook’(HB)method,one of the earliest uses of administrative data for small area estimation.The administrative data,however,are poor in coverage and have conceptual deficiencies.Past attempts to correct for the resulting bias of the HB estimates by informal(implicit)modelling have not been successful,due to the absence of regular direct monthly survey estimates at the sub-State level.Benchmarking the sub-State HB estimates each month to the State model dependent estimates helps to correct for an overall bias,but not in individual areas.In this article we propose benchmarking additionally to the annual model-dependent area estimates.The annual models include known administrative data as covariates,and are used to define corresponding monthly sub-State models,which in turn enable producing monthly synthetic estimates as possible substitutes for the HB estimates in real time production.Variance estimates,which account for sampling errors and the errors of the model dependent estimators are developed.Data for sub-State areas in the State of Arizona are used for illustration.Although the methodology developed in this article stems from a particular(but very important)application,it is general and applicable to other similar problems.