343 research outputs found
A Fast and Efficient Algorithm for Slater Determinant Updates in Quantum Monte Carlo Simulations
We present an efficient low-rank updating algorithm for updating the trial
wavefunctions used in Quantum Monte Carlo (QMC) simulations. The algorithm is
based on low-rank updating of the Slater determinants. In particular, the
computational complexity of the algorithm is O(kN) during the k-th step
compared with traditional algorithms that require O(N^2) computations, where N
is the system size. For single determinant trial wavefunctions the new
algorithm is faster than the traditional O(N^2) Sherman-Morrison algorithm for
up to O(N) updates. For multideterminant configuration-interaction type trial
wavefunctions of M+1 determinants, the new algorithm is significantly more
efficient, saving both O(MN^2) work and O(MN^2) storage. The algorithm enables
more accurate and significantly more efficient QMC calculations using
configuration interaction type wavefunctions
Ethnobotanical Observations of Euphorbiaceae Species from Vidarbha region, Maharashtra, India
An attempt has been made to explore traditional medicinal knowledge of plant materials belonging to various genera of the Euphorbiaceae, readily available in Vidharbha region of Maharasthtra state. Ethnobotanical information were gathered through several visits, group discussions and cross checked with local medicine men. The study identified 7 species to cure skin diseases (such as itches, scabies); 5 species for antiseptic (including antibacterial); 4 species for diarrhoea; 3 species for dysentery, urinary infections, snake-bite and inflammations; 2 species for bone fracture/ dislocation, hair related problems, warts, fish poisons, night blindness, wounds/cuts/ burns, rheumatism, diabetes, jaundice, vomiting and insecticide; 1 species as laxative , viral fever and arthritis. The results are encouraging but thorough scientific scrutiny is absolutely necessary before being put into practice
THE IMPORTANCE OF ANTIBIOTICS IN A VARIOUS UNIQUE METASTASIS ALONG WITH CYTOTOXIC THERAPY AT TERTIARY CARE HOSPITAL: A PROSPECTIVE COHORT STUDY
Objective: Rare cancers are creating a massive challenge to the world. It has associated with genetic mutations or socio-environmental factors, which includes genes, smoking, alcohol, ionizing radiation exposure, organic-inorganic chemicals, air and water pollution, viruses, and bacteria. When 15 cases per 1,00,000 people per year, we can consider it as a rare case as per the National Cancer Institute
This study aim is the importance of antibiotics in various unique metastasis along with cytotoxic therapy at tertiary care hospital.
Methods: The inclusion criteria of our study include a person who is suffering from rare metastasis at an early stage. We excluded the data that are those who are suffering from the typical type of cancers, multiple co-morbid conditions. This study was carried out the Prospective Cohort Study conducted between June 2018 to March 2020.
Results: Number of 20 rare cancers we consider for final analysis, the overall antibiotics use in this study 18 antibiotics they prescribed in overall cases, prescribed cytotoxic drugs are 23. the chi-square test value is P=0.001, the confidence interval(CI) is 95%, the likelihood ratio is 54.4, odd’s ratio is 2.0(CI 95%, P=0.711), Male patients more than the female patients.
Conclusion: Cancer is a complex disorder, which is occurred through gene proliferation and socio-environmental factors. Rare metastasis is challenging to physicians and patients, however as per our observation, cytotoxic therapy with antibiotics can reduce the risk of rare metastasis and as well improved therapeutic adhesion, and we need clear supporting evidence on it through clinical trials
Sub-matrix updates for the Continuous-Time Auxiliary Field algorithm
We present a sub-matrix update algorithm for the continuous-time auxiliary
field method that allows the simulation of large lattice and impurity problems.
The algorithm takes optimal advantage of modern CPU architectures by
consistently using matrix instead of vector operations, resulting in a speedup
of a factor of and thereby allowing access to larger systems and
lower temperature. We illustrate the power of our algorithm at the example of a
cluster dynamical mean field simulation of the N\'{e}el transition in the
three-dimensional Hubbard model, where we show momentum dependent self-energies
for clusters with up to 100 sites
Low cost microscopy for three dimensional imaging using digital inline holographic principle
Optical microscopy is
reached a new level in terms of resolution, 3
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D imaging capability, flexibility of imaging different samples
which increase imaging complexity and the cost.. Though established labs can afford high
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end microscopes, it remains a concern
in rural areas where
clinics and patients cannot afford much. Semi
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portable microscopy based on inline holographic setup is
demonstrated where depth information as 3rd dimension can also be accessed. This setup contains only light emitting diode
(LED), pinhole and charge coup
led device (CCD) camera. Since laser source gives rise to speckle noise and it is also cost
constraint for developing a low cost microscopy, thus it is replaced with incoherent LED source. This setup is also known as
‘lensless holography’ because there is
no use of lens for imaging. In conventional inline holographic setup the sample is placed
closed to the pinhole which will restrict field of view (FOV) and diffraction signature of one particle (cell) will overlap w
ith other.
To avoid overlap of diffractio
n signatures and to increase FOV sample was placed close to CCD sensor. To test the working of
microscopy agarose microbeads were used. Optimization algorithm is used for reconstruction of object field from recorded
hologram.. Thus both amplitude as well a
s the phase images of the microbeads is reconstructed. Instead of using microscopic
objective to focus sample, autofocus algorithm is used to calculate the focused plan
Crack roughness and avalanche precursors in the random fuse model
We analyze the scaling of the crack roughness and of avalanche precursors in
the two dimensional random fuse model by numerical simulations, employing large
system sizes and extensive sample averaging. We find that the crack roughness
exhibits anomalous scaling, as recently observed in experiments. The roughness
exponents (, ) and the global width distributions are found
to be universal with respect to the lattice geometry. Failure is preceded by
avalanche precursors whose distribution follows a power law up to a cutoff
size. While the characteristic avalanche size scales as , with a
universal fractal dimension , the distribution exponent differs
slightly for triangular and diamond lattices and, in both cases, it is larger
than the mean-field (fiber bundle) value
Compression Characteristics of Selected Ground Agricultural Biomass
Agricultural biomass such as barley, canola, oat and wheat straw has the potential to be used as feedstock for bioenergy. However, the low bulk density straw must be processed and densified in order to facilitate handling, storage and transportation. It is important to understand the fundamental mechanism of the biomass compression process, which is required in the design of energy efficient compaction equipment to mitigate the cost of pre-processing and transportation of the product. Therefore, a comprehensive review of various compression models was performed and the compression behavior of selected ground agricultural biomass was studied. Five compression models were considered to determine the pressure-volume and pressure-density relationship to analyze the compression characteristics of biomass samples, namely: Jones (1960), Heckle (1961), Cooper-Eaton (1962), Kawakita-Ludde (1971) and Panelli-Filho (2001) models. Densification studies were conducted on four selected biomass samples at 10 % moisture content (w.b.) and 1.98 mm grind size using four pressure levels of 31.6, 63.2, 94.7 and 138.9 MPa. The mean densities of barley, canola, oat and wheat straw increased from 907 to 977 kg/m3, 823 to 1003 kg/m3, 849 to 1011 kg/m3 and 813 to 924 kg/m3, respectively. The Kawakita-Ludde model provided an excellent fit having R2 values of 0.99 for selected agricultural straw samples. It was also concluded that the ground oat and canola straw had the highest level of porosity and failure stress, respectively. The parameters of Cooper-Eaton model indicated that the ground straw samples were densified easily by the particles rearrangement method and Jones model indicated that canola and oat straw were more compressible as compared to barley and wheat straw
The influence of heat treatment on the microstructural, mechanical and corrosion behaviour of cold sprayed SS 316L coatings
The present study evaluates the response of cold sprayed SS 316L coatings on mild steel substrate to aqueous corrosion in a 0.1 N HNO3 solution as determined using polarization tests. The corrosion behaviour of the SS 316L coating was studied not only in the as-coated condition, but also after heat treatment at 400, 800 and 1,100 °C. Heat treatment reduced the porosity, improved inter-splat bonding, increased the elastic modulus and more importantly increased the corrosion resistance of the cold sprayed SS 316L coating
Ethnobotanical Studies of Nubra Valley - A Cold Arid Zone of Himalaya
An attempt has been made to explore traditional medicinal knowledge of Nubra valley, the cold arid zone of Himalaya. Ethnobotanical information were gathered through several visits, group discussions and cross checked with local medicine men. The study identified 65 plant species belonging to 30 families have been used to cure various diseases and ailments. Maximum number of species was recorded to be used in kidney complaints (14 spp.), cold & cough (13 spp.) and fever (11 spp.). Leaves of 27 species; whole plant extract of 20 species and root/bulb of 19 species were mostly used. Juice, raw items, paste and decoction of plant species were the common method of usage. A large number of ethnic groups with varied culture inhabiting the remote and isolated valleys of Ladakh offer a great scope for ethnobotanical studies. Over exploitation of medicinal herbs can lead to the local extinction of the valuable herbs indicating an urgent need to draw up the necessary plans for medicinal plant utilization and conservation
Quantitative phase imaging of cells by Digital Holographic Microscopy
We constructed digital holographic microscopy (DHM) setup for extracting the quantitative phase
information of biological cells. Here we record the digital hologram of the object and perform
computational reconstruction. The hologram recording is carried out on a CCD camera. CCD
camera will digitize the information hence the method is known as ‘Digital Holographic
Microscopy’. From the quantitative phase information, we can calculate the specimen (cell)
thickness and volume. This method is advantageous compared to the existing techniques like
bright field microscopy, phase contrast microscopy, differential interference contrast and other
qualitative phase imaging techniques since they cannot give us exact phase information. In
addition, this method is very attractive for live cell imaging as it does not require any contrast
agents. In order to improve the resolution and field of view, the principle of Synthetic Apertures
(SA) has been applied by moving the CCD camera to 9 positions and the acquired digital
holograms were stitched together to increase the field of view with 22 Kilo pixels. We performed
3-D image reconstructions of a transparent ITO electrode. DHM being a quantitative phase
imaging technique, could estimate the height and thickness of the ITO electrode. In order to show
the improvement in resolution using synthetic apertures, we have imaged the USAF resolution
chart. We have shown that the amplitude reconstruction of the USAF resolution chart has given
better resolution in synthetic aperture digital holographic microscopy (SA-DHM) compared to
DHM. We reconstructed 3 dimensional structure of an E.coli bacteria using SA-DHM and
quantified its length and thickness
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