Comparison of wheat yield and soil properties under open and poplar based agroforestry system

Field experiment was conducted during the Rabi season of 2013-14 on an established plantation at old site of Agroforestry Research Centre, Patharchatta of G.B. Pant University of Agriculture and Technology, Pantna-gar, District Udham Singh Nagar, Uttarakhand, India to evaluate the effect of poplar based agroforestry system and open system (without poplar) on yield of different wheat varieties and soil physico-chemical properties.The experi-ment was laid out in randomized block design with 4 treatments and each replicated thrice under both the growing conditions. The crop treatments are wheat varieties viz. UP-2572, PBW-550, DBW-711 and PBW-373. The highest grain yield of all the wheat varieties was obtained under open farming system. Highest grain yield of wheat was rec-orded in UP-2572 (45.3 q/ha) under open farming system. Agroforestry is proven land use system for vertically en-hancing soil health against unsuitable weather condition. The distribution of soil properties was detected from the depth 0-15 cm in poplar based agroforestry system and as well as in open system. During the experiment it was found that agroforestry add more nutrients to the soil compared to open system i.e. highest pH (7.9), EC (0.43 dSm-1), available soil nitrogen (253.48 kg/ha), potassium (219.63 kg/ha) were achieved with UP-2572 while organic car-bon (1.07%) and available soil phosphorus (22.72 kg/ha) were attained with DBW-711

Daksha: On Alert for High Energy Transients

We present Daksha, a proposed high energy transients mission for the study of electromagnetic counterparts of gravitational wave sources, and gamma ray bursts. Daksha will comprise of two satellites in low earth equatorial orbits, on opposite sides of earth. Each satellite will carry three types of detectors to cover the entire sky in an energy range from 1 keV to >1 MeV. Any transients detected on-board will be announced publicly within minutes of discovery. All photon data will be downloaded in ground station passes to obtain source positions, spectra, and light curves. In addition, Daksha will address a wide range of science cases including monitoring X-ray pulsars, studies of magnetars, solar flares, searches for fast radio burst counterparts, routine monitoring of bright persistent high energy sources, terrestrial gamma-ray flashes, and probing primordial black hole abundances through lensing. In this paper, we discuss the technical capabilities of Daksha, while the detailed science case is discussed in a separate paper.Comment: 9 pages, 3 figures, 1 table. Additional information about the mission is available at https://www.dakshasat.in

Science with the Daksha High Energy Transients Mission

We present the science case for the proposed Daksha high energy transients mission. Daksha will comprise of two satellites covering the entire sky from 1~keV to $>1$~MeV. The primary objectives of the mission are to discover and characterize electromagnetic counterparts to gravitational wave source; and to study Gamma Ray Bursts (GRBs). Daksha is a versatile all-sky monitor that can address a wide variety of science cases. With its broadband spectral response, high sensitivity, and continuous all-sky coverage, it will discover fainter and rarer sources than any other existing or proposed mission. Daksha can make key strides in GRB research with polarization studies, prompt soft spectroscopy, and fine time-resolved spectral studies. Daksha will provide continuous monitoring of X-ray pulsars. It will detect magnetar outbursts and high energy counterparts to Fast Radio Bursts. Using Earth occultation to measure source fluxes, the two satellites together will obtain daily flux measurements of bright hard X-ray sources including active galactic nuclei, X-ray binaries, and slow transients like Novae. Correlation studies between the two satellites can be used to probe primordial black holes through lensing. Daksha will have a set of detectors continuously pointing towards the Sun, providing excellent hard X-ray monitoring data. Closer to home, the high sensitivity and time resolution of Daksha can be leveraged for the characterization of Terrestrial Gamma-ray Flashes.Comment: 19 pages, 7 figures. Submitted to ApJ. More details about the mission at https://www.dakshasat.in

ISSN 2347-954X (Print) Urban Rural Comparison of Side Effect and Removal of Intrauterine Device

Abstract: An effective contraception is the only way to stop this population explosion. There are too many advantages and side effects associated with the IUD, but most of women having side effects had previous history of menstrual irregularities. The objective of the study was to know the pattern of side effects and reason for removal among beneficiaries of Urban and rural area. A cross sectional study was conducted in urban and rural population of Indore district. Study sites included catchment area of primary secondary and tertiary care centers. Sample size of 400 beneficiaries was selected using systematic random sampling from the data of last five years insertions. Chi square test was applied to compare various parameters between urban and rural areas. In this study total 400 beneficiaries were participated out of which 253 (63.3%) belonged to rural area and 147 (36.8%) belong to urban area. IUD is a preferred choice of clients who are illiterate or educated up to secondary class, Unemployed/house wife and of lower or middle socioeconomic class. In rural area 89 (35.2%) clients had side effects after insertion. 58 (39.5%) clients of urban area had side effects. Out of the all type of side effects, pain with heavy bleeding and pain alone was the most common type. 18.2% clients of rural area had IUD removal in comparison to 21.1% clients of urban area. Menstrual irregularity is the most common cause for IUD removal. Urban clients relatively had more side effects and removal than rural clients

An Extension of the Bollinger Scoring System to Analyse the Distribution of Macrovascular Disease of the Lower Limb in Diabetes.

OBJECTIVE While it is generally considered that patients with diabetes mellitus (DM) have more distal peripheral arterial disease (PAD), there is little information on how individual vessels are affected. The aim of this study was to adapt Bollinger's scoring system for lower limb angiograms (DSAs) to include the distal and planter vessels. The reliability of this extension was tested and was used to compare the distribution of disease in two cohorts of patients with and without DM. METHODS Patients who had undergone DSA ± angioplasty for PAD at a single centre between September 2010 and April 2014 were identified. Twenty-five patients' images were reviewed by four clinicians and scored using an extended version of the Bollinger score. A total of 153 patients with DM were matched, for age, sex, ethnicity, smoking, and hypertension, with 153 patients without DM. The infrainguinal vessels were divided into 16 arterial segments, including plantar vessels, and scored using the Bollinger score. The score ranges from 0 to 15. Fifteen represents an arterial segment with more than 50% of its length occluded. Interobserver reliability was tested using interclass correlation (ICC) and Cohen's kappa coefficient. RESULTS The ICC demonstrated good agreement between observers (0.76 [0.72-0.79]) with good internal consistency (Cronbach's alpha 0.93). When the Bollinger scores were categorised, the results were weaker, Cohen's kappa ranged from 0.39 (standard error 0.033) to 0.54 (0.030). Patients with DM had a higher burden of disease in the anterior tibial and posterior tibial arteries with relative sparing of the peroneal artery and no difference in the plantar vessels. CONCLUSION It has been demonstrated that the Bollinger score can be extended to include the distal vessels. This amended scoring system can be used to compare the burden of distal disease in patients with PAD. How the score relates to clinical presentation and outcomes needs further investigation

Daksha: On Alert for High Energy Transients

We present Daksha, a proposed high energy transients mission for the study of electromagnetic counterparts of gravitational wave sources, and gamma ray bursts. Daksha will comprise of two satellites in low earth equatorial orbits, on opposite sides of earth. Each satellite will carry three types of detectors to cover the entire sky in an energy range from 1 keV to >1 MeV. Any transients detected on-board will be announced publicly within minutes of discovery. All photon data will be downloaded in ground station passes to obtain source positions, spectra, and light curves. In addition, Daksha will address a wide range of science cases including monitoring X-ray pulsars, studies of magnetars, solar flares, searches for fast radio burst counterparts, routine monitoring of bright persistent high energy sources, terrestrial gamma-ray flashes, and probing primordial black hole abundances through lensing. In this paper, we discuss the technical capabilities of Daksha, while the detailed science case is discussed in a separate paper

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification

Dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) of the breast has emerged as an adjunct imaging tool to conventional X-ray mammography due to its high detection sensitivity. Despite the increasing use of breast DCE-MRI, specificity in distinguishing malignant from benign breast lesions is low, and interobserver variability in lesion classification is high. The novel contribution of this paper is in the definition of a new DCE-MRI descriptor that we call textural kinetics, which attempts to capture spatiotemporal changes in breast lesion texture in order to distinguish malignant from benign lesions. We qualitatively and quantitatively demonstrated on 41 breast DCE-MRI studies that textural kinetic features outperform signal intensity kinetics and lesion morphology features in distinguishing benign from malignant lesions. A probabilistic boosting tree (PBT) classifier in conjunction with textural kinetic descriptors yielded an accuracy of 90%, sensitivity of 95%, specificity of 82%, and an area under the curve (AUC) of 0.92. Graph embedding, used for qualitative visualization of a low-dimensional representation of the data, showed the best separation between benign and malignant lesions when using textural kinetic features. The PBT classifier results and trends were also corroborated via a support vector machine classifier which showed that textural kinetic features outperformed the morphological, static texture, and signal intensity kinetics descriptors. When textural kinetic attributes were combined with morphologic descriptors, the resulting PBT classifier yielded 89% accuracy, 99% sensitivity, 76% specificity, and an AUC of 0.91