A Physics-Based Approach to Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems

Given that observational and numerical climate data are being produced at ever more prodigious rates, increasingly sophisticated and automated analysis techniques have become essential. Deep learning is quickly becoming a standard approach for such analyses and, while great progress is being made, major challenges remain. Unlike commercial applications in which deep learning has led to surprising successes, scientific data is highly complex and typically unlabeled. Moreover, interpretability and detecting new mechanisms are key to scientific discovery. To enhance discovery we present a complementary physics-based, data-driven approach that exploits the causal nature of spatiotemporal data sets generated by local dynamics (e.g. hydrodynamic flows). We illustrate how novel patterns and coherent structures can be discovered in cellular automata and outline the path from them to climate data.Comment: 4 pages, 1 figure; http://csc.ucdavis.edu/~cmg/compmech/pubs/ci2017_Rupe_et_al.ht

The potential demand for and strategic use of an HIV-1 vaccine in Southern India

Even a modestly effective HIV-1 vaccine would be highly useful in India and could avoid millions of deaths. How should such a vaccine be introduced? Based on evidence of adoption of other vaccines in India, current levels of spending on them and coverage of prevention programs targeting both high- and low-risk groups, Seshadri, Subramaniyam, and Jha assess the potential demand for and strategic use of an HIV-1 vaccine in the four southern Indian states of Andhra Pradesh, Karnataka, Maharashtra, and Tamil Nadu. The authors also discuss potential strategies for delivery of the vaccine, prioritization for vaccination, and the political economyof such a vaccine in India. Assuming a vaccine cost of $10 a dose and including estimated delivery costs, the total cost of vaccinating 21.6 million adolescents 11-14 years of age and 1 percent of adults would be Rs. 12.25 billion (US$ 245 million). To maintain the vaccination rate in the 11-14 year old cohort, an additional 6.77 million in that age range would have to be vaccinated each year, at a vaccine cost of Rs. 3.39 billion (US$ 67.5 million). An HIV-1 vaccine will greatly reduce HIV/AIDS in India, but it will not be a panacea. There will be a continued need for effective prevention programs to guard against behavior reversals or an imperfect vaccine. Key inputs for prevention, immunization, and treatment programs such as identification of various groups that could be immunized (vulnerable groups or general populations), strengthened surveillance, capacity building, operations research, and evaluation at local levels will continue to require intensive support.Health Monitoring&Evaluation,Public Health Promotion,HIV AIDS,Disease Control&Prevention,Early Child and Children's Health,Health Monitoring&Evaluation,Adolescent Health,HIV AIDS,Primary Education,Early Child and Children's Health

Approximate Inference for Constructing Astronomical Catalogs from Images

We present a new, fully generative model for constructing astronomical catalogs from optical telescope image sets. Each pixel intensity is treated as a random variable with parameters that depend on the latent properties of stars and galaxies. These latent properties are themselves modeled as random. We compare two procedures for posterior inference. One procedure is based on Markov chain Monte Carlo (MCMC) while the other is based on variational inference (VI). The MCMC procedure excels at quantifying uncertainty, while the VI procedure is 1000 times faster. On a supercomputer, the VI procedure efficiently uses 665,000 CPU cores to construct an astronomical catalog from 50 terabytes of images in 14.6 minutes, demonstrating the scaling characteristics necessary to construct catalogs for upcoming astronomical surveys.Comment: accepted to the Annals of Applied Statistic

A Halotolerant Bacterium Bacillus licheniformis HSW-16 Augments Induced Systemic Tolerance to Salt Stress in Wheat Plant (Triticum aestivum)

Certain plant growth promoting bacteria can protect associated plants from harmful effects of salinity. We report the isolation and characterization of 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase bacterium Bacillus licheniformis HSW-16 capable of ameliorating salt (NaCl) stress in wheat plants. The bacterium was isolated from water of Sambhar salt lake, Rajasthan, India. The presence of ACC deaminase activity was confirmed by enzyme assay and analysis of AcdS gene, a structural gene for ACC deaminase. Inoculation of B. licheniformis HSW-16 protected wheat plants from growth inhibition caused by NaCl and increased plant growth (6-38%) in terms of root length, shoot length, fresh weight, and dry weight. Ionic analysis of plant samples showed that the bacterial inoculation decreased accumulation of Na+ content (51%), and increased K+ (68%), and Ca2+ content (32%) in plants at different concentration of NaCl. It suggested that bacterial inoculation protected plants from the effect of NaCl by decreasing level of Na+ in plants. Production of exopolysaccharide by the B. licheniformis HSW-16 can also protect from Na+ by binding this ion. Moreover, application of test isolate resulted in an increase in certain osmolytes such as total soluble sugar, total protein content and a decrease in malondialdehyde content, illustrating their role in the protection of plants. The ability of B. licheniformis HSW-16 to colonize plant root surface was examined by staining the bacterium with acridine orange followed by fluorescence microscopy and polymerase chain reaction (PCR)-based DNA fingerprinting analysis. These results suggested that B. licheniformis HSW-16 could be used as a bioinoculant to improve the productivity of plants growing under salt stress

India's system of public administration and delivery of public services in turbulent times: challenges and solutions

The paper explores the peculiarities of the current system of public administration in India, the role and functions of civil servants and their interface and relations with politicians. It delienates existing main problem areas and outlines certain "remedy" actions to overcome current difficulties and raise performance of the national bureaucracy, in particular - its ability to deliver timely and better quality public services. The findings and inferences of the accomplished research are largely based on the analysis of the performance of Indian civil servants in the current administrative and political setting, specifically at the regional and local levels. The colonial legacy of civil service still persists in this fast-changing era of globalization. It is in this context that civil service reform constitutes a quintessential element of the system of good governance. The study focuses on the internationally recognized experience of the regional administration in Kerala State, focused on the successful mobilization of citizens, businesses and street level bureaucrats to withstand the impact of the pandemic. The relative success of Kerala in addressing key issues of survival for tens of thousands of citizens is largely explained by the ability of the regional and local governments to encourage and coordinate stakeholders in their joint anti-coronavirus efforts and support innovative grassroots intiatives

Report on the Bihar PRI Finance Study

The Report on the Bihar Panchayat Raj Institution Finance Study examines the autonomy, capacity, and accountability of local self-governments in the State of Bihar. This report is based on data collected from a set of 3 surveys conducted on a stratified random sample of 5 Zila Parishads, 10 Panchayat Samitis, and 50 Gram Panchayats, during the period beginning on the 15th of March 2009 and ending on the 31st of July 2009. Chapter 1 describes the sampling methodology, questionnaires, and the scope of work for this study in greater detail. Chapter 2 provides an overview of recent elections in the State of Bihar; explains the structure of local governments; and describes the demographic profile of elected officials. Chapter 3 begins with an overview of the economic criteria commonly used to evaluate expenditure assignments in a multi-tiered government system like that in the State of Bihar. On the basis of these economic principles, the chapter then evaluates the clarity and appropriateness of functional assignments to the Panchayats. Finally, this chapter describes the decision making arrangements across different Gram Panchayats and various activities undertaken by the Gram Panchayats, based on data collected from the surveys. Chapter 4 describes the availability to the Gram Panchayats of human and physical resources, such as the number of employees, the extent of their training and education, and availability, condition, and use of the Panchayat Bhavans, which is the administrative headquarters of the Gram Panchayats. Chapter 5 discusses the expenditure priorities of the Gram Panchayats, using the survey data. Chapter 6 analyses the revenue sources of the Gram Panchayats, Panchayat Samitis, and Zila Parishads, based on data collected from the survery of Panchayats. Chapter 7 provides a brief description of the accountability system, discusses its performance and adequacy, and provides some recommendations for improvement it. Chapter 8 concludes the report

An autopsy study of hematolymphoid malignancies

Background: Hematolymphoid malignancies (HLM) are primary cancers of blood, bone marrow and lymphoid organs associated with high mortality. Clinically undetected cases, diagnosed primarily at autopsy, are common.Methods: Cases of HLMs at autopsy performed in our hospital from 1st January 2009 to 30th June 2017 were analysed. Gross and microscopic findings at autopsy along with clinical parameters were studied. Special stains and immunohistochemistry (IHC) were performed wherever possible.Results: There were 49 cases of HLMs (0.98 %) among 4971 autopsies conducted during the study period, occurring predominantly in males (70 %). Fifteen (30.61 %) were primarily diagnosed at autopsy. There were 26 lymphomas and 19 leukemias; three patients had multiple myeloma and one patient had Langherhan cell histiocytosis. Non-Hodgkin’s lymphoma was the commonest (24 patients). Nine were diffuse large B-cell lymphoma; rare sub-types included angiotrophic lymphoma, post-renal lymphoproliferative disorder and hepatosplenic gamma-delta T-cell lymphoma. Among the 19 leukemias, majority were acute (13 cases) with seven cases of myeloid and six of lymphoid types. IHC was performed in 21 cases which aided the diagnosis. The commonest symptoms were fever (43%) and dyspnoea (37%). Splenomegaly (67%), hepatomegaly (61.2%) and lymphadenopathy (57.1%) were the most common autopsy findings. Infiltrations were seen in various organs; an acute myeloid leukemia (M6) had infiltration of the atrio-ventricular node.Conclusions: One-third cases in the present study were diagnosed at autopsy without any prior clinical suspicion thereby emphasizing on the relevance of autopsy in the current practice of pathology and further studies to improve accuracy of ante-mortem diagnosis

Critical Analysis of Background Subtraction Techniques on Real GPR Data

Ground penetrating radar (GPR) is used to detect the underground buried objects for civil as well as defence applications under varying conditions of soil moisture content. The capability of detection depends upon soil moisture, target characteristics and subsurface characteristics, which are mainly responsible for contaminating the GPR images with clutter. Researchers earlier have used averaging, mean, median, Eigen values, etc. for subtracting the background from GPR images. To analyse the background subtraction or clutter reduction problems, in this paper, we have experimentally reviewed background subtraction techniques with or without target conditions to enhance the target detection under variable soil moisture content. Indigenously developed GPR has been used to collect the data for different soil conditions and several background subtraction signal processing techniques were critically reviewed like, mean, median, singular value decomposition (SVD), principal component analysis (PCA), independent component analysis (ICA) and training methods. The signal to clutter ratio (SCR) measurement has been used for performance evaluation of each technique. The relative merits and demerits of each technique has also been analysed. The background subtraction techniques have been appliedto experimental GPR data and it is observed that in comparison of mean, SVD, median, ICA, PCA, the training method shows the highest SCR with buried target. Finally, this review helps to select the comparatively better background subtraction technique to enhance the detection capability in GPR