Relationship between precipitation, surface runoff, and shallow water-table

In this study, a model was developed to describe the relationship between precipitation, surface runoff, and shallow groundwater table in a watershed that is subjected to groundwater extraction and urbanization. Regression analysis of fourteen years (1976-1989) of time series data for precipitation, stream discharge, ground water elevation, and groundwater extraction yielded good correlation between these parameters. Analysis of the data associated with groundwater recharge and discharge events that occurred in the watershed from 1976 to 1989 yielded a high correlation between the above cited parameters. Regression analysis utilized to predict monthly variations in groundwater elevations showed a fair correlation between precipitation, stream discharge, shallow groundwater elevation, and groundwater extraction. The Toms River watershed was utilized because it represented a hydrogeologic framework that suited this study. It is overlain by a surficial aquifer which has been exploited heavily for water supply. Also, the region has experienced substantial urbanization during the period of study

Perceptions of the Use of Blueprinting in a Formative Theory Assessment in Pharmacology Education

Objectives: This study aimed to assess perceptions of the use of a blueprint in a pharmacology formative theory assessment. Methods: This study took place from October 2015 to February 2016 at a medical college in Gujurat, India. Faculty from the Department of Pharmacology used an internal syllabus to prepare an assessment blueprint. A total of 12 faculty members prepared learning objectives and categorised cognitive domain levels by consensus. Learning objectives were scored according to clinical importance and marks were distributed according to proportional weighting. A three-dimensional test specification table of syllabus content, assessment tools and cognitive domains was prepared. Based on this table, a theory paper was created and administered to 126 pharmacology students. Feedback was then collected from the faculty members and students using a 5-point Likert scale. Results: The majority of faculty members agreed that using a blueprint ensured proper weighting of marks for important topics (90.00%), aligned questions with learning objectives (80.00%), distributed questions according to clinical importance (100.00%) and minimised inter-examiner variations in selecting questions (90.00%). Few faculty members believed that use of the blueprint created too many easy questions (10.00%) or too many difficult questions (10.00%). Most students felt that the paper had a uniform distribution of questions from the syllabus (90.24%), that important topics were appropriately weighted (77.23%), was well organised (79.67%) and tested indepth subject knowledge (74.80%). Conclusion: These findings indicate that blueprinting should be an integral part of written assessments in pharmacology education

Distributed intelligent control and status networking

Over the past two years, the Network Control Systems Branch (Code 532) has been investigating control and status networking technologies. These emerging technologies use distributed processing over a network to accomplish a particular custom task. These networks consist of small intelligent 'nodes' that perform simple tasks. Containing simple, inexpensive hardware and software, these nodes can be easily developed and maintained. Once networked, the nodes can perform a complex operation without a central host. This type of system provides an alternative to more complex control and status systems which require a central computer. This paper will provide some background and discuss some applications of this technology. It will also demonstrate the suitability of one particular technology for the Space Network (SN) and discuss the prototyping activities of Code 532 utilizing this technology

An approximate solution of fokker-planck equation for one dimensional groundwater recharge through porous media

The nonlinear Fokker-Planck equation arising for one-dimensional groundwater recharge through porous media, is in the form of partial differential equation which has been solved by using Homotopy Analysis method with the help of first approximate solution ()0,ZTθfor given auxiliary parameter 0q=. The solution is physically interpreted and concluded that during one-dimensional recharge through unsaturated porous media, the moisture content of the soil is parabolically increasing as depth Z increases for given0T\u3e. The graph of the solution is given by using Maple coding

Comparison of Beers criteria and EU(7) potentially inappropriate medications list for the potentially inappropriate medications in Indian elderly inpatients

Background: Use of inappropriate medication is an important problem in present geriatric clinical practice. No specific potentially inappropriate medications (PIM) tools are available considering the availability of drugs in India. Aim and objective were to assess prevalence and pattern of potentially inappropriate medication (PIM) use in elderly inpatients by updated Beers criteria 2015 and EU(7) PIM list 2015.Methods: This cross-sectional study was carried out on medical records of elderly patients (≥65 yrs) admitted in the internal medicine wards and intensive care units (ICU) over a period of 6 weeks. The medications were evaluated for the PIM use as per Beers criteria and EU(7) PIM list.Results: A total of 225 patients (mean age- 71.48 yrs) were admitted in internal medicine wards and ICU during study period. Total 184 PIM belonged to 33 different medications were used during study period. The prevalence of PIM in internal medicine wards and ICUs were 51.96% and 57.14%, respectively. The prevalence of PIM was significantly higher with the EU(7) PIM list than Beers criteria (49.77% vs. 21.77%) [p<0.0001]. The commonly prescribed PIM were dextromethorphan (13.33%), ranitidine (11.11%) and glipizide (10.22%).Conclusions: Elderly patients frequently receive PIM. EU(7) PIM list identifies more PIM among elderly inpatients than Beers criteria

Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks

There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs.Comment: 16 Pages, JGraph-Hoc Journa

Secure and Lightweight Strong PUF Challenge Obfuscation with Keyed Non-linear FSR

We propose a secure and lightweight key based challenge obfuscation for strong PUFs. Our architecture is designed to be resilient against learning attacks. Our obfuscation mechanism uses non-linear feedback shift registers (NLFSRs). Responses are directly provided to the user, without error correction or extra post-processing steps. We also discuss the cost of protecting our architecture against power analysis attacks with clock randomization, and Boolean masking. Security against learning attacks is assessed using avalanche criterion, and deep-neural network attacks. We designed a testchip in 65 nm CMOS. When compared to the baseline arbiter PUF implementation, the cost increase of our proposed architecture is 1.27x, and 2.2x when using clock randomization, and Boolean masking, respectively