Supersymmetric Solutions in Four-Dimensional Off-Shell Curvature-Squared Supergravity

Off-shell formulations of supergravities allow one to add closed-form higher-derivative super-invariants that are separately supersymmetric to the usual lower-derivative actions. In this paper we study four-dimensional off-shell N=1 supergravity where additional super-invariants associated with the square of the Weyl tensor and the square of the Ricci scalar are included. We obtain a variety of solutions where the metric describes domain walls, Lifshitz geometries, and also solutions of a kind known as gyratons. We find that in some cases the solutions can be supersymmetric for appropriate choices of the parameters. In some solutions the auxiliary fields may be imaginary. One may reinterpret these as real solutions in an analytically-continued theory. Since the supersymmetry transformation rules now require the gravitino to be complex, the analytically-continued theory has a "fake supersymmetry" rather than a genuine supersymmetry. Nevertheless, the concept of pseudo-supersymmetric solutions is a useful one, since the Killing spinor equations provide first-order equations for the bosonic fields.Comment: 28 page

A Migration Method of MPI Program Combining Local Library Replacement and Instruction Translation

Binary translation acts as a main method used to solve software compatibility among different instruction set architectures (ISAs), yet the main objects that the binary translator deals with are serial programs but not parallel programs. We propose a hybrid method combining local library replacement and instruction translation based on a formal model built to describe the equivalent when migrating MPI programs between different clusters. The shared codes in a MPI program (MPI library function call) are treated by executing local libraries, and the other parts are done by dynamic binary translation. Also, during the course of dealing with local library functions, we propose a method of program flow redirection by designing two algorithms along with hierarchically encapsulating local libraries. A framework called MPI-QEMU is designed to implement migrating MPI program of 64 bits from X86-64/Linux platform to the domestic SW platform which is verified by experiment

Measuring the geographic coverage of methadone maintenance programme in Hong Kong by using geographic information system (GIS)

<p>Abstract</p> <p>Objective</p> <p>While access and utilization form core components in assessing the effectiveness of a health service, the concept of coverage is often neglected. In this study we propose to develop a GIS-based methodological framework for the measurement of district-based geographic coverage to examine the service effectiveness of methadone treatment programme (MTP) in Hong Kong on a regular basis.</p> <p>Methods</p> <p>To overcome the incompatibility of spatial units, population data and data of heroin addiction of the year 2001 are interpolated by population-weighted and area-weighted algorithms. Standard overlay and proximity analytical functions are used to delineate altogether 20 accessible zones around each methadone clinic at a fixed 1.5 km Euclidean distance. Geographic coverage here is defined as the percentage of heroin addicts covered by a methadone clinic within the accessible zone by district.</p> <p>Results</p> <p>A total of 6413 out of 11000 reported heroin addicts are found geographically covered. The average geographic coverage in Hong Kong is 44.6%, with the figure varying from 0% to 96% by district. One district having no clinic results in 0% coverage whereas another without a clinic yields 15.3% coverage from the clinic in adjacent district. Maps illustrating district-based geographic coverage are generated.</p> <p>Conclusion</p> <p>As continuous data collection is required for a monitoring system, the simplified approach facilitates the handling of large volume data and relevant data analysis. It is concluded that the number of methadone clinics is as important as their locations. Geographic coverage could become an important consideration for monitoring harm reduction.</p

The Older, the Wiser? Investigating the Effect of CEO Age on the Bank Performance in Malaysia

This paper aims to investigate the impact of CEO age on commercial bank performance in Malaysia. Our sample data consists of 84 observations from commercial banks in Malaysia from 2016 to 2021. Using the Quantile Regression Method, we find that the CEO's Age positively influences the commercial bank's performance. This finding indicates the wisdom of the CEO in making decisions when they are getting older, positively affecting the commercial bank's performance. The result is consistent with the resource-based view; the CEO is the invaluable human capital providing experience in managing the bank's performance. Our findings guide practitioners in hiring a qualified CE

Suggestions for Chinese Dietary Lipids Reference Intakes in the New Period

With the rapid development of economy and society, the dietary pattern of Chinese residents has undergone obvious transition. The recommendation of dietary lipids intake has a significant influence on the improvement of dietary pattern and on the achievement of Healthy China goals in the new period. We put forward some suggestions on the revision of dietary lipids reference intake for Chinese residents. (1) The upper limit of acceptable macronutrient distribution range (U-AMDR) of percent of energy (%E) from fat for residents aged 18 years and above in China is 30%E, lower than that in countries of European Union and North America, which is 35%E. Some scholars suggest raising the U-AMDR of dietary fat for Chinese adults, but there is still insufficient evidence for modification. However, considering the characteristics of high-energy and nutrient-dense diets required by the elderly, increasing the U-AMDR of dietary fat in the elderly should be considered. (2) Some studies have shown that the ratio of n-6/n-3 polyunsaturated fatty acids (n-6/n-3PUFA) is closely related to the risk of multiple chronic non-communicable diseases. The average dietary n-6/n-3 PUFA ratio of Chinese residents is 8.6, and even higher in some populations. Therefore, it is recommended that the recommended values of dietary n-6/n-3PUFA ratio be included in the new dietary lipid reference intake recommendations. (3) Despite numerous investigations, the relationship between dietary cholesterol intake and the outcomes of several chronic diseases, such as cardiovascular disease, remains unclear. The average daily cholesterol intake was in the normal range, 264.0 mg in urban residents while 168.8 mg in rural residents. Based on current research evidence, it is still inappropriate to set dietary cholesterol limits for the general adult population. For patients with chronic diseases such as cardiovascular and cerebrovascular diseases, it is suggested to refer to the recommendations on dietary cholesterol intake in the guidelines of control and prevention for corresponding diseases

Dendritic Cells and Their Roles in Anti-Tumour Immunity

Dendritic cells are rare cells found in blood and throughout all organs of the body as resident or migrating cell populations. Dendritic cells sense danger signals of pathogens and host cell stress through pattern receptors expressed on the cell surface and within organelles of the cell. Ligation of these receptors leads to activation and production of many different chemokines, cytokines and interferons. Key to the function of dendritic cells is their potent capacity to present antigen and activate naïve T cells. These qualities, potent antigen presentation and cytokine production together allow the dendritic cells to be at the forefront of danger responses, linking innate and adaptive immunity. Research over the last 20 years has clarified a role of dendritic cells in anti-tumour responses, and their location within the tumour environment is clear, with both deleterious and beneficial correlations, depending on the subset and tumour type. Harnessing the qualities of dendritic cells to increase anti-tumour immunity is the ultimate goal, although this will require extensive knowledge of different dendritic cell subsets and their regulation through immune checkpoints

Aero Engine Fault Diagnosis Using an Optimized Extreme Learning Machine

A new extreme learning machine optimized by quantum-behaved particle swarm optimization (QPSO) is developed in this paper. It uses QPSO to select optimal network parameters including the number of hidden layer neurons according to both the root mean square error on validation data set and the norm of output weights. The proposed Q-ELM was applied to real-world classification applications and a gas turbine fan engine diagnostic problem and was compared with two other optimized ELM methods and original ELM, SVM, and BP method. Results show that the proposed Q-ELM is a more reliable and suitable method than conventional neural network and other ELM methods for the defect diagnosis of the gas turbine engine