Psychiatric diagnosis in attempted suicide

This is a retrospective study which assesses the various socio-demographic correlates, the methods adopted to commit suicide and the psychiatric disorders in patients attempting suicide. The most common psychiatric diagnosis was found to be Adjustment disorder followed by Depressive disorder. Organo-phosphorous compounds were the most frequent agent used among suicide attempt patients

Validation of fluorescence transition probability calculations

A systematic and quantitative validation of the K and L shell X-ray transition probability calculations according to different theoretical methods has been performed against experimental data. This study is relevant to the optimization of data libraries used by software systems, namely Monte Carlo codes, dealing with X-ray fluorescence. The results support the adoption of transition probabilities calculated according to the Hartree-Fock approach, which manifest better agreement with experimental measurements than calculations based on the Hartree-Slater method.Comment: 8 pages, 21 figures and images, 3 tables, to appear in proceedings of the Nuclear Science Symposium and Medical Imaging Conference 2009, Orland

Effect of Bacillus spp. on Gerbera plant growth and control of Meloidogyne incognita

A greenhouse experiment was conducted to evaluate the efficacy of Bacillus spp. against Meloidogyne incognita (Kofoid and White) Chitwood infesting gerbera plants (Var. Valletta). Investigations were undertaken in pots filled with 5 kg of sterilized potting mixture consisting of red soil:sand:FYM (2:1:1 v/v) to assess the effect of liquid and talc formulations of Bacillus spp. viz., B. subtilis strain BG42, B. subtilis strain BG37 and B. amyloliquefaciens strain B4. The results indicated that Soil drenching of liquid formulation of B. subtilis strain BG42 @ 1%/m2 (1x108 colony forming units/g) gave maximum reduc-tion of juveniles per 250g soil (67.40%), number of adult females/5g root (73.46%), number of eggmass/5g root (69.44%), gall index (1.67) and increased flower yield/m2 (127.03%). Soil drenching of liquid formulation of B. subtilis strain BG 37 were next in line in efficacy. Further liquid formulation of B. subtilis strain BG42 had a positive influence on growth parameters viz., shoot length, root length, shoot and root weight, number of leaves / plant and flower yield/m2 and quality parameters viz., flower diameter, colour of the flower, length of flower stalk and vase life . The endophytic colonization potential of the Bacillus spp. introduced into the soil was confirmed by reisolating them from gerbera roots

High performance modified bit-vector based packet classification module on low-cost FPGA

The packet classification plays a significant role in many network systems, which requires the incoming packets to be categorized into different flows and must take specific actions as per functional and application requirements. The network system speed is continuously increasing, so the demand for the packet classifier also increased. Also, the packet classifier's complexity is increased further due to multiple fields should match against a large number of rules. In this manuscript, an efficient and high performance modified bitvector (MBV) based packet classification (PC) is designed and implemented on low-cost Artix-7 FPGA. The proposed MBV based PC employs pipelined architecture, which offers low latency and high throughput for PC. The MBV based PC utilizes <2% slices, operating at 493.102 MHz, and consumes 0.1 W total power on Artix-7 FPGA. The proposed PC considers only 4 clock cycles to classify the incoming packets and provides 74.95 Gbps throughput. The comparative results in terms of hardware utilization and performance efficiency of proposed work with existing similar PC approaches are analyzed with better constraints improvement

Comparision of Different Classifiers for Prediction of Breast Cancer

The cell formed in the  breast are known as breast cancer. It occurs mainly in women and it may occur rarely in men also. It is considered as the most common ailment that can lead to large number of death in females every year. In spite of the factuality that cancer is treatable and can be relieve if treated at its early stages; many patients are screened for cancer only at a very late stage. Data mining technique such as classifications provides an efficient technique to classify data, where these methods are commonly used for diagnostic decision making. The Machine learning techniques propound various methods such as statistical and probabilistic methods which allow system to learn from past experiences to distinguish and identify patterns from a standard dataset. The research work presents a review of machine learning techniques which can be used in breast cancer disease detection by applying algorithms on breast cancer Wisconsin data set.  Algorithms such as Navies Bayes, Random Forest, Support Vector Machine, Adaboost and Decision Trees were used. The result outcome shows that Random Forest performs better than other techniques

A Scientometric Profile of Science Faculty of Rashtrasant Tukadoji Maharaj Nagpur University, India during 1990-2019

Research productivity of any university is a reflection of its status quo in terms of its position in Higher Education Institution (HEI) ranking framework. This Scientometric study is an attempt to highlight the key features of research productivity of Science Faculty of Rashtrasant Tukadoji Maharaj Nagpur University based on the data collected from Web of Science database over a period of 30 years from 1990 to 2019.This article studied the publication trend by analysis of the 2229 research records. The major objectives of this study were to evaluate the research output in terms of number and type of publications, prolific and productive author, most preferred publication, citation analysis and so on. The complete research output is 2229 with an Annual Growth Rate (AGR) of 6.23 % with 11.4 % of average citations per paper. The period from year 2004 to 2019 was highly productive block with year 2015 contributing highest 7.31 % of the total number of publications during the study period. Physics was found to the core subject in which high level of quantitative as well as qualitative research has been performed by Science Faculty of the university. This paper is an attempt to portray a scientometric profile of the one of the oldest and premier university of India which will be help to highlight appropriate measures required for enhancing the research benchmark of the university to a new high

Maternal outcome in thyroid dysfunction

Background: Thyroid hormone status in pregnancy is an important predictor of pregnancy outcome regarding both the mother and fetus. Objective was study the maternal outcome in antenatal women presenting with thyroid dysfunction.Methods: This descriptive study was done in 449 pregnant ladies who attended Obstetrics and Gynecology      Department Government TD Medical College, Alappuzha, Kerala, India during the period January 2014 to June 2015. Aim was studying the maternal outcome in those diagnosed to have thyroid dysfunction evidenced by abnormal thyroid function tests (TFT) done in each trimester.Results: Majority had subclinical hypothyroidism (SCH). Common complications were preeclampsia spontaneous abortion, anemia and recurrent pregnancy loss. Infertility, post-partum hemorrhage and abruption were significantly high in overt hypothyroidism. Anemia was significantly high in subclinical hypothyroidism.Conclusions: It is important to screen all pregnant women for thyroid dysfunction during first antenatal visit itself to facilitate early diagnosis and treatment and also can counsel regarding the adverse pregnancy outcome

In vitro propagation through root-derived callus culture of Swertia chirata Buch.-Ham. ex Wall

A procedure for regeneration of complete plantlets of Swertia chirata via indirect organogenesis is described. Callus was obtained from in vitro regenerated roots on Murashige and Skoog (1962) (MS) medium supplemented with varying concentrations of 6, benzylaminopurine (BAP) and 2,4-dichlorophenoxyacetic acid (2,4-D). 13.32 μM BAP in combination with 0.90 μM 2,4-D proved to be the most effective concentration for callus induction, multiplication and adventitious shoot regeneration from callus surface. The optimal hormone combination for shoot multiplication was shown to be 8.88 μM BAP, 2.85 μM indole-3 acetic acid (IAA) and 271.45 μM adenine sulphate (Ads) giving an average of 10.70 shoots after 4 weeks and 17.50 shoots after 8 weeks. Individual elongated shoots were rooted on half-strength MS medium supplemented with varying concentrations of auxins. Best rooting was obtained with 4.90 μM indole-3 butyric acid (IBA) where an average of 14.40 and 21.50 roots per shoot could be obtained after 4 and 8 weeks, respectively. In vitro raised plantlets with well developed shoots and roots were acclimatized successfully.Keywords: Swertia chirata, in-vitro propagation, callus, adventitious shoots, rosette clumps.African Journal of Biotechnology Vol. 11(29), pp. 7408-7416, 10 April, 201

Quantum tunneling dynamics of an interacting Bose-Einstein condensate through a Gaussian barrier

The transmission of an interacting Bose-Einstein condensate incident on a repulsive Gaussian barrier is investigated through numerical simulation. The dynamics associated with interatomic interactions are studied across a broad parameter range not previously explored. Effective 1D Gross-Pitaevskii equation (GPE) simulations are compared to classical Boltzmann-Vlasov equation (BVE) simulations in order to isolate purely coherent matterwave effects. Quantum tunneling is then defined as the portion of the GPE transmission not described by the classical BVE. An exponential dependence of transmission on barrier height is observed in the purely classical simulation, suggesting that observing such exponential dependence is not a sufficient condition for quantum tunneling. Furthermore, the transmission is found to be predominately described by classical effects, although interatomic interactions are shown to modify the magnitude of the quantum tunneling. Interactions are also seen to affect the amount of classical transmission, producing transmission in regions where the non-interacting equivalent has none. This theoretical investigation clarifies the contribution quantum tunneling makes to overall transmission in many-particle interacting systems, potentially informing future tunneling experiments with ultracold atoms.Comment: Close to the published versio