An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions

Finite mixture distributions arise in sampling a heterogeneous population. Data drawn from such a population will exhibit extra variability relative to any single subpopulation. Statistical models based on finite mixtures can assist in the analysis of categorical and count outcomes when standard generalized linear models (GLMs) cannot adequately account for variability observed in the data. We propose an extension of GLM where the response is assumed to follow a finite mixture distribution, while the regression of interest is linked to the mixture's mean. This approach may be preferred over a finite mixture of regressions when the population mean is the quantity of interest; here, only a single regression function must be specified and interpreted in the analysis. A technical challenge is that the mean of a finite mixture is a composite parameter which does not appear explicitly in the density. The proposed model is completely likelihood-based and maintains the link to the regression through a certain random effects structure. We consider typical GLM cases where means are either real-valued, constrained to be positive, or constrained to be on the unit interval. The resulting model is applied to two example datasets through a Bayesian analysis: one with success/failure outcomes and one with count outcomes. Supporting the extra variation is seen to improve residual plots and to appropriately widen prediction intervals

Key-lock pair mechanism for access control using tribes of Farey fractions.

We propose a new single key-lock mechanism based on the concept of an access control matrix. In this system, each file is given a lock and each user is given a key and through simple operations on keys and locks the user access privilege can be revealed. We use Chinese Remainder theorem and tribes of Farey fractions in this method instead of the method based on Euler’s Theorem of Number Theory used by Chang [2]. An advantage of our method is the ease with which coding can be done for the locking mechanism and for the much larger number of users and files

Urinary Peptide Levels in Patients with Chronic Renal Failure

Introduction: Peptide levels in urine are found to be decreased in renal failure. In the current study urinary peptide levels were determined in chronic renal failure (CRF) patients. Method: 86 CRF patients and 80 healthy controls were selected for the study. Urinary proteins and peptide levels were determined by spectrophotometer based Lowry and Bradford methods. Urinary creatinine levels were determined by clinical chemistry analyzer. Results: There was significant decrease in urinary peptide levels in CRF patients and Urinary % peptides were significantly decreased in CRF patients as compared to healthy controls. Urinary % peptides correlated negatively with proteinuria. Conclusion: we have found decrease in urinary peptides and % urinary peptides in CRF patients and possibly measurement of % urinary peptides may possibly serve as better indicator in early detection of impairment in renal function

Discrete quaternion Fourier transform in signal processing systems.

We define n th root of unity in quaternion space and then we define discrete quaternion Fourier transform. We use first order quaternion filter for implementing fourth order real co-efficient filter

Impact of water harvesting on groundwater recharge, productivity and net returns with integrated farming systems approach in eastern dry zone of Karnataka

The paper evaluates the performance of water harvesting structures by looking at the case of the Sujala watershed in Karnataka. The water harvesting structures have facilitated the rejuvenation of failed wells and enhanced the water yield. About 75% of the failed bore wells were rejuvenated as against 66% in the non- watershed. The yield of bore wells were increased by 21% in the watershed where as in non-watershed area the water yield has reduced by 11%. Investment analysis of water harvesting structures indicated that for every rupee of present investment on water harvesting structure there is a return of Rs. 2.79 in farm pond and Rs. 2.19 in recharge pits. Further, productivity of crops has enhanced through protective irrigation given at critical stages of crop growth and moisture conservation, which in turn increased the net returns of the farmer.Length: pp.764-774Water harvestingGroundwater rechargeWatershedsDevelopment projectsCostsFarming systemsArid zonesWellsIrrigation waterCase studies

Equity in distribution of benefits from water harvesting and groundwater recharge: an economic study in Sujala Watershed Project in Karnataka

The paper looks at the impact of water harvesting programs in ground water recharge through the case of the Sujala watershed in Karnataka. On comparison with areas of non sujala watershed and non watershed cases in one normal rainfall and one drought year, it was revealed that Sujala has been successful in recharging groundwater, improving farmers’ incomes and increasing crop production. Further the program is inclusive and the benefits were accrued even to the small and marginal farmers. In fact the net return for small and marginal farmers was higher that that for large and medium farmers. The study concluded that there is potential for expansion of Sujala pattern of watershed development program in other parts of Karnataka and India.Length: pp.720-746Water harvestingGroundwater rechargeWatershedsDevelopment projectsGroundwater irrigationWellsEconomic impact

Contract farming and its implications for input-supply, linkages between markets and farmers in Karnataka

This study is focused on the economic analysis of contract farming with a comparison of income, access to technology and credit of contract and non-contract farmers. The advantages of contract farming for smallholders have also been evaluated. In contract farming, quality inputs such as seeds, fertilizers and plant protection chemicals are provided to the farmers at their farm gate, coupled with the technical advice on production aspects. This not only reduces the working capital needs of farmers but also substantially reduces their transaction cost per unit of output. Borrowing of crop loans has been found 33 per cent higher by non-contract farmers than contract farmers, as the former have to buy material inputs. The net returns have been found higher for contract than non-contract farmers. Within contract farming, net returns have been recorded higher under domestic than foreign contracts for both baby corn and chilli. In the case of non-contract farmers, the net returns (Rs 3,035) have been found less than one-third of domestic contract farmers (Rs 10,610) and slightly more than one-third of foreign contract farmers (Rs 8,050). In the case of chilli also, the net returns realized per acre have been recorded maximum under domestic contract farmers, followed by foreign contract farmers and non-contract farmers. The returns per rupee invested have been noted higher in farming of baby corn in all the three categories than those of chilli farming. The constraints identified in the study include delay in payment and delivery of inputs, delay in lifting the produce, access to seeds, manupulation of grades by the buyers, and high cost of inputs in contract farming. Factors inducing farmers into contract are: low initial investment, better price for the produce, access to market, technical support on package of practices, access to inputs and easy transportation facilities.Farm Management,

Deep Proteomics of Mouse Skeletal Muscle Enables Quantitation of Protein Isoforms, Metabolic Pathways, and Transcription Factors

Skeletal muscle constitutes 40% of individual body mass and plays vital roles in locomotion and whole-body metabolism. Proteomics of skeletal muscle is challenging because of highly abundant contractile proteins that interfere with detection of regulatory proteins. Using a state-of-the art MS workflow and a strategy to map identifications from the C2C12 cell line model to tissues, we identified a total of 10,218 proteins, including skeletal muscle specific transcription factors like myod1 and myogenin and circadian clock proteins. We obtain absolute abundances for proteins expressed in a muscle cell line and skeletal muscle, which should serve as a valuable resource. Quantitation of protein isoforms of glucose uptake signaling pathways and in glucose and lipid metabolic pathways provides a detailed metabolic map of the cell line compared with tissue. This revealed unexpectedly complex regulation of AMP-activated protein kinase and insulin signaling in muscle tissue at the level of enzyme isoforms

Single muscle fiber proteomics reveals unexpected mitochondrial specialization

Mammalian skeletal muscles are composed of multinucleated cells termed slow or fast fibers according to their contractile and metabolic properties. Here, we developed a high-sensitivity workflow to characterize the proteome of single fibers. Analysis of segments of the same fiber by traditional and unbiased proteomics methods yielded the same subtype assignment. We discovered novel subtype-specific features, most prominently mitochondrial specialization of fiber types in substrate utilization. The fiber type-resolved proteomes can be applied to a variety of physiological and pathological conditions and illustrate the utility of single cell type analysis for dissecting proteomic heterogeneity