-
Morphology exploration of pollen using deep learning latent space IOP SciNotes Pub Date : 2023-01-02 James A Grant-Jacob, Michalis N Zervas and Ben Mills
The structure of pollen has evolved depending on its local environment, competition, and ecology. As pollen grains are generally of size 10–100 microns with nanometre-scale substructure, scanning electron microscopy is an important microscopy technique for imaging and analysis. Here, we use style transfer deep learning to allow exploration of latent w-space of scanning electron microscope images of
-
Genome analysis of a plastisphere-associated Oceanimonas sp. NSJ1 sequenced on Nanopore MinION platform IOP SciNotes Pub Date : 2022-12-19 Nirupama Saini and Punyasloke Bhadury
Oceanimonas sp. NSJ1 was isolated from macroplastic debris collected previously from Junput, an intertidal beach, facing the northeast coastal Bay of Bengal of the Northern Indian Ocean. The genome of this isolate is closely related to Oceanimonas doudoroffii with a genome size of 3.56 Mbp. The genome annotation confirmed the presence of 5919 total genes, out of which 5809 were CDSs (coding sequences)
-
The infection and recovery periods of the 2022 outbreak of monkey-pox virus disease IOP SciNotes Pub Date : 2022-12-06 Marwan Al-Raeei
The Monkey-pox virus disease (MPXD) is a type of the pox disease similar to the smallpox disease. This disease produces rashes with lesions on the skin. The MPXD is an endemic in some countries of Africa, however, a recent outbreak of this disease started to appear in some countries, such as the United Kingdom, Spain, Greece, Portugal, Australia, Brazil, and the United States. Lots of indicators are
-
Generated datasets from dynamic reproduction of projectiles in ballistic environments for advanced research (DROPBEAR) testbed IOP SciNotes Pub Date : 2022-11-17 Matthew Nelson, Simon Laflamme, Chao Hu, Adriane G Moura, Jonathan Hong, Austin Downey, Peter Lander, Yang Wang, Erik Blasch and Jacob Dodson
High-rate dynamics occur when a system’s acceleration is larger than 100 gn over durations less than 100 ms. Structural health monitoring algorithms must be created for high-rate dynamic systems to maximize safety and minimize economic losses. There is a need to evaluate these algorithms for precision and accuracy prior to real-world implementation. An experimental testbed was created to simulate large-magnitude
-
Prediction of malignant transformation in oral epithelial dysplasia using machine learning IOP SciNotes Pub Date : 2022-10-06 James Ingham, Caroline I Smith, Barnaby G Ellis, Conor A Whitley, Asterios Triantafyllou, Philip J Gunning, Steve D Barrett, Peter Gardener, Richard J Shaw, Janet M Risk and Peter Weightman
A machine learning algorithm (MLA) has been applied to a Fourier transform infrared spectroscopy (FTIR) dataset previously analysed with a principal component analysis (PCA) linear discriminant analysis (LDA) model. This comparison has confirmed the robustness of FTIR as a prognostic tool for oral epithelial dysplasia (OED). The MLA is able to predict malignancy with a sensitivity of 84 ± 3% and a
-
Voltammetric investigation on iron-(nickel-)sulfur surface under conditions for the emergence of life IOP SciNotes Pub Date : 2022-06-26 T Altair, D Galante and H Varela
Iron (II) sulfide minerals have gained attention in the last decades due to their relevance in hypotheses for the emergence of life on the early Earth around 4 billion years ago. In the submarine vent theory, it has been proposed that those minerals, especially mackinawite, had a key role in prebiotic processes. Those are estimated to be present in a natural electrochemical setting, analogous to a
-
Preliminary studies on soil radon activity at geothermal hotspot of Bakreswar-Tantloi IOP SciNotes Pub Date : 2022-06-22 Arkajit Aich
Bakreswar-Tantloi region of India, besides being a geothermally active region, also harbours a high amount of Radon in soil-gas and groundwater of the region. Measurement of Radon-content across the region is an active area of research aimed to properly understand the geothermal potential of the region, the study of local geology and to determine the risks of Radon exposure in the area. In an aim to
-
Effect of different fixatives on yield of DNA from human fecal samples IOP SciNotes Pub Date : 2022-05-26 Gauraw Kumar and Punyasloke Bhadury
Fixation and transportation of human fecal samples is often difficult in geographically remote locations due to unavailability of options for immediate freezing. In this study effectiveness of five different chemical fixatives were evaluated on human fecal samples including for supernatant using RNAprotect® Bacteria Reagent (Qiagen), 95% ethanol, acetone, TRIzol® and a mixture of all these fixatives
-
Generating images of hydrated pollen grains using deep learning IOP SciNotes Pub Date : 2022-04-25 James A Grant-Jacob, Matthew Praeger, Robert W Eason and Ben Mills
Pollen grains dehydrate during their development and following their departure from the host stigma. Since the size and shape of a pollen grain can be dependent on environmental conditions, being able to predict both of these factors for hydrated pollen grains from their dehydrated state could be beneficial in the fields of climate science, agriculture, and palynology. Here, we use deep learning to
-
Effect of short carbon fiber/SiC on tribological properties of aluminium matrix hybrid composites IOP SciNotes Pub Date : 2022-03-22 Tanmay Vivek Joshi and Akash Mohanty
This research study was carried out to combine the benefits of Silicon Carbide (SiC) and short carbon fiber (CF) as reinforcements in the aluminum matrix to develop the composites for automotive applications. The powder metallurgy (PM) technique was used to fabricate five samples with different compositions. Linear wear, coefficient of friction, density, and Vickers hardness of the samples were determined
-
Automatic rule-based generation of spinal cord connectome model for a neuro-musculoskeletal limb in-silico IOP SciNotes Pub Date : 2022-03-11 Madhav Vinodh Pithapuram, Mohan Raghavan
Studying spinal interactions with muscles has been of great importance for over a century. However, with surging spinal-related movement pathologies, the need for computational models to study spinal pathways is increasing. Although spinal cord connectome models have been developed, anatomically relevant spinal neuromotor models are rare. However, building and maintaining such models is time-consuming
-
A framework for association rule learning with social media networks IOP SciNotes Pub Date : 2022-03-03 Ryan Kruse, Tharindu Lokukatagoda, Suboh Alkhushayni
We present an application of association rule learning to analyze Twitter account follow patterns. In doing so, we develop a basic framework and tutorial for future researchers to build on, which takes advantage of the Twitter API. To demonstrate the method, we take samples of Twitter accounts following Joe Biden and Donald Trump. For each account in our sample population, we pull the account’s 100
-
Tomography analysis tool: an application for image analysis based on unsupervised machine learning IOP SciNotes Pub Date : 2022-02-24 T Bagni, H Haldi, D Mauro, C Senatore
We developed a graphical user interface (GUI) to analyse tomographic images of superconducting Nb3Sn wires designed for the next generation accelerator magnets. The Tomography Analysis Tool (TAT) relies on the k-means algorithm, an unsupervised machine learning technique which is widely used to partition images into separated clusters. The GUI is compatible with both Linux and Windows operating systems
-
Locations of L 4,5 of a dust grain type II comet tail in Solar-Jupiter system in the photogravitational relativistic R3BP IOP SciNotes Pub Date : 2021-10-05 Nakone Bello, Umar Aishetu, Aminu Abubakar Hussain
A calculating formula when q∈(−∞, 1] for the locations of the triangular points L 4,5 in the relativistic restricted three-body problem is proposed when the bigger primary is a source of radiation with a mass reduction factor q. As an application, we consider a dust grain in type II comet tail in Solar-Jupiter system with a mass reduction factor q∈(−1.2, 0.5). An investigation in this neighborhood
-
Derivation of an improved semi-empirical expression for the re-ionisation background in low energy ion scattering spectra IOP SciNotes Pub Date : 2021-09-23 H R Koslowski, Ch Linsmeier
Low energy ion scattering is a technique to detect the energy of ions which are scattered from a surface. For noble gas ions, it is predominantly sensitive to the topmost surface layer due to strong neutralisation processes. Depending on the combination of projectile ion and target material, the scattering spectra can exhibit contributions resulting from multiple scattering processes in deeper layers
-
Genome description of Nostoc ellipsosporum strain NOK (Nostocales, Cyanobacteria) isolated from an arsenic contaminated paddy field of the Bengal Delta Plains IOP SciNotes Pub Date : 2021-09-03 Anwesha Ghosh, Punyasloke Bhadury
A diazotrophic cyanobacterium, Nostoc ellipsosporum strain NOK, was isolated from an arsenic contaminated paddy field of the Bengal Delta Plains (BDP). Located across India and Bangladesh, BDP, is one of the worst arsenic (As)-affected regions of the world. Previous studies have shown this isolate to be tolerant to high concentration of arsenic (≦400 μM). The genome of this isolate was sequenced to
-
An AI-assisted chatbot for radiation safety education in radiotherapy IOP SciNotes Pub Date : 2021-08-30 David Kovacek, James C L Chow
Purpose. We created a virtual assistant chatbot that will serve as a tool for radiation safety training for clinical staff, including radiation oncologist, radiotherapist and medical physicist, in cancer treatment. The Bot can also be used to test their knowledge on radiation safety. Methods. The Bot was constructed using IBM’s Watson Assistant functionalities on the IBM cloud. A layered structure
-
On the Lichnerowicz operator in traversable wormhole spacetimes IOP SciNotes Pub Date : 2021-08-23 Remo Garattini, Piero Nicolini
The evaluation of Casimir energies in curved background spacetimes is an essential ingredient to study the stability of traversable wormholes. In practice one has to calculate the contribution of the transverse-traceless component of the metric perturbation on a curved spacetime background. This implies the study of an eigenvalue equation involving a modified form of the Lichnerowicz operator. For
-
Time-delay version of the integrable discrete Lotka-Volterra system in terms of the LR transformations IOP SciNotes Pub Date : 2021-08-23 Masaki Sekiguchi, Kurumi Oka, Masashi Iwasaki, Emiko Ishiwata
To introduce time delay into integrable discrete systems, we present a time-delay version of the discrete Lotka-Volterra (dLV) system, which is a time-discretization of the famous predator-prey Lotka-Volterra system. Focusing on the LR transformations, which has been designed for solving symmetric eigenvalue problems, plays a key role in deriving the essential properties of the original dLV system
-
Two point-source interference: a study of the formation of concentric circular fringes IOP SciNotes Pub Date : 2021-07-30 Joseph Ivin Thomas
In this short paper, the hyperbola-based analysis of wave interference recently developed by Thomas is employed to study the pattern of concentric circular fringes captured on a distant screen, when its plane is oriented orthogonal to the line joining two coherent point-sources. Newton’s rings are another instance of concentric circular fringes, generated with an extended source and a plano-convex
-
Adaptive perturbation method in quantum mechanics IOP SciNotes Pub Date : 2021-07-19 Chen-Te Ma
The adaptive perturbation chooses a non-standard decomposition. The Hamiltonian becomes a sum of solvable and perturbation parts. We calculate the spectrum using the adaptive perturbation method at the leading-order to compare to numerical solutions. The maximum deviation is around 5% for different coupling regions. A perturbation study relies on whether a choice of leading-order is suitable. Our result
-
Analysis of multiple data sequences with different distributions: defining common principal component axes by ergodic sequence generation and multiple reweighting composition IOP SciNotes Pub Date : 2021-07-12 Ikuo Fukuda, Kei Moritsugu
Principal component analysis (PCA) defines a reduced space described by PC axes for a given multidimensional-data sequence to capture the variations of the data. In practice, we need multiple data sequences that accurately obey individual probability distributions and for a fair comparison of the sequences we need PC axes that are common for the multiple sequences but properly capture these multiple
-
Effects of fuel cost and driving behaviors on operational costs of gasoline and electric vehicles in the US IOP SciNotes Pub Date : 2021-07-12 Isaac Schmidt, Emily Grubert
Internal combustion engine vehicles have long dominated personal vehicle sales in the United States. As electric vehicles gain market share, understanding fuel costs of gasoline versus electric vehicles (EVs) is increasingly relevant for potential buyers and for researchers. In particular, understanding the influence of fuel price volatility on fuel costs is of interest. Although it is well known that
-
Novel bismuth oxy hydride chromate (HBi3(CrO4)O3) nano-sheets/rods synthesized by one step one pot wet chemical method IOP SciNotes Pub Date : 2021-06-03 Channegowda Manjunatha
A novel inorganic hydride material, hydrogen bismuth chromium oxide (HBi3(CrO4)O3), with 2D nano sheets and 1D nanorods were prepared for the first time using a simple, green, hazard free hydrothermal method. The X-ray diffraction (XRD) results confirms that the as-formed sample (HBi3(CrO4)O3) has monoclinic crystal system with a space group of P21/a. The field emission scanning electron microscope
-
Pulse compression favorable frequency modulated thermal wave imaging for non-destructive testing and evaluation: an analytical study IOP SciNotes Pub Date : 2021-06-03 Anju Rani, Ravibabu Mulaveesala
InfraRed Thermography (IRT) is one of the non-destructive testing and evaluation (NDT&E) approach widely used for testing and evaluation of wide verity of materials such as metals, semiconductors and composites. Among the widely used Thermal NDT&E (TNDT&E) approaches for better depth resolution and sensitivity for detection of defects located at different depths inside the test specimen recently proposed
-
Existing seasonal flexibility in US manufacturing energy use IOP SciNotes Pub Date : 2021-06-03 John J Lydon, Rebecca E Ciez
Renewable electricity will likely play a substantial role in a decarbonized energy system, and there are well-known seasonal patterns to renewable electricity output. We can manage these seasonal fluctuations by overbuilding our electricity generation capacity, implementing seasonal storage, or managing our energy demands seasonally. If industrial processes are more integrated with the broader energy
-
Using pycnometry and Archimedes’ principle to measure the gross and air cavity volume of fruit IOP SciNotes Pub Date : 2021-04-09 Stephen Hughes, Sebastian Quintero Olaya
A technique based on Archimedes’ Principle is described for measuring the volume of small objects (0.5–5 cm3) less dense than water. The volume of 10 small red chillies was measured by pycnometry and an immersion Archimedes technique which involved suspending the chillies in water in a container placed on an electronic balance. A pycnometer, which uses helium gas is able to determine the internal solid
-
Learning human insight by cooperative AI: Shannon-Neumann measure IOP SciNotes Pub Date : 2021-04-09 Edouard Siregar
A conceptually sound solution to a complex real-world challenge, is built on a solid foundation of key insights, gained by posing ‘good’ questions, at the ‘right’ times/places. If the foundation is weak, due to insufficient human insight, the resulting, conceptually flawed solution, can be very costly or impossible to correct downstream. The response to the global 2020 pandemic, by countries using
-
The Wentzel-Kramers-Brillouin approximation for light scattering by horizontally oriented prismatic particles IOP SciNotes Pub Date : 2021-03-27 E M Tari, A Bahaoui, R Lamsoudi, M Khouilid, M Ibnchaikh
In this research, we propose a simple approximation technique based on the decomposition of particles and on the Wentzel-Kramers-Brillouin approximation (WKB). The latter allows us to express analytically the expression of the form factor of a particle of a regular prismatic ice crystal shape. Our focus will be on studying the light scattering by horizontally oriented prismatic particles which rotate
-
Generalized Poisson distributions for systems with two-particle interactions IOP SciNotes Pub Date : 2021-03-22 M Hameeda, Angelo Plastino, M C Rocca
In a cosmological context, observational best fits for galaxies’ distributions in the Universe have been tackled by recourse to different distribution functions. We provide here arguments favoring the formulation of a rather general distribution function (DF), of Poisson origin, describing galaxy clustering. The DF should be useful irrespective of distances or temperatures. We will be discussing distribution
-
New traveling wave rational form exact solutions for strain wave equation in micro structured solids IOP SciNotes Pub Date : 2021-03-17 Subin P Joseph
Strain wave equation is a fourth order non-linear partial differential equation that arises in the study of non-dissipative strain wave propagation in micro structured solids. This equation also represents the dynamics of several physical phenomena. This equation can also be consider as a generalization of Boussinesq equation with dual dispersion. In this paper, a general strain wave equation is considered
-
Optimizing geometry of low-Q all-metal Fabry-Prot microcavity for fluorescence spectroscopy IOP SciNotes Pub Date : 2021-03-15 Arpan Dutta, Ville Tiainen, J Jussi Toppari
Fluorescence spectroscopy is commonly employed to study the excited-state photophysics of organic molecules. Planar Fabry-Prot microcavities play an essential role in such studies and a strategic cavity design is necessary to attain an enhanced light-matter interaction. In this work, we computationally study different geometries for a planar metallic Fabry-Prot microcavity tuned for the absorption
-
Electron pairing in the Hubbard model as a result of on-site repulsion fluctuations IOP SciNotes Pub Date : 2021-03-05 Igor N Karnaukhov
We focus our quantitative analysis on the stability of insulator state in the Hubbard model at half-filling. Taking into account macroscopic fluctuation of the on-site repulsion, we consider the possibility of realizing a steady state which is characterized by electron pairing. Fluctuation of the on-site repulsion leads to the formation of holes in the form of excited states. The electron liquid has
-
On quantum reading, quantum illumination, and other notions IOP SciNotes Pub Date : 2021-03-05 Stefano Pirandola
In this brief review, we start by clarifying the crucial differences between three different protocols of quantum channel discrimination. In some recent literature, there has been confusion between the protocols of quantum illumination [1, 2], quantum reading [3], and a scheme of communication within a discrete-variable quantum computer [4]. While all these protocols are based on the model of quantum
-
An explicit derivation of the time–information uncertainty relation in thermodynamics IOP SciNotes Pub Date : 2021-03-04 Katsuaki Tanabe
A direct, explicit derivation of the recently discovered time–information uncertainty relation in thermodynamics [S. B. Nicholson et al (2020), Nat. Phys. 16, 1211] is presented.
-
An analytical approach for frequency modulated thermal wave imaging for testing and evaluation of glass fiber reinforced polymers IOP SciNotes Pub Date : 2021-03-04 Anju Rani, Ravibabu Mulaveesala, Vansha Kher
Frequency modulated thermal wave imaging (FMTWI) has been considered as one of the promising non-destructive testing and evaluation approach due to its merits such as economical, safe, fast, sensitive and high depth resolvability. The present work provides a novel analytical solution for FMTWI using one-dimensional heat conduction equation with adiabatic (Neumann) boundary conditions. The temperature
-
Association between mobile phone use in young children and caregiver-rated health IOP SciNotes Pub Date : 2021-03-04 Noriko Kojimahara, Mariko Matsushita, Yasuto Sato
The association between mobile phone or tablet use and children’s health remains unclear. The main aim of this study was to examine whether caregiver-rated health and children’s mental disorders were related to their mobile phone use. We conducted a multistage sampling Internet survey of 1535 caregivers living with children aged 0–14 years in Japan. Using this cross-sectional data, multiple regression
-
Investigation on the impact of nano MgO addition on dielectric properties and space charge behavior of epoxy resin AlN nanocomposites IOP SciNotes Pub Date : 2021-02-20 Guvvala Nagaraju, Ramanujam Sarathi
Epoxy nano composites were fabricated with the incorporation of nano AlN and MgO fillers to investigate their dielectric and space charge properties. Epoxy AlN nanocomposites with the addition of nano MgO have shown lower permittivity with reduced tanδ, good space charge behaviour, during poling period. Higher wt% of AlN in epoxy resinexhibited higher permittivity. The nanocomposites with AlN nanofiller
-
Explorations on the electronic structure and spectroscopic IR assignments of 5-methyl-2-(2-oxopropyl)-pyrazolo[5,1-b]quinazolin-9(3H)-one molecule IOP SciNotes Pub Date : 2021-02-19 Dilip Kumar, Vijay Kushwaha, Umesh Yadava
In the present work, theoretical investigations on a quinazoline derivate, 5-methyl-2-(2-oxopropyl)pyrazolo[5,1-b]quinazolin-9(3H)-one, have been carried out through quantum mechanical density functional B3LYP/6-31G(d,p) method to explore its electronic structure and vibrational features. The normal modes analysis was executed to predict the contributions of different vibrational modes at the required
-
Detection and impacts of tiling artifacts in MODIS burned area classification IOP SciNotes Pub Date : 2021-02-08 Tianjia Liu, Morgan A Crowley
Since 2000, observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, aboard the Terra and Aqua satellites, have been used to monitor global burned area and its trends. The FireCCI and MCD64A1 products classify burned area using algorithms that detect change in surface reflectance and separately process each ∼10 10 MODIS tile. We find that artifacts arise in both products
-
Trouton-Noble-like experiments on suspended capacitors IOP SciNotes Pub Date : 2021-02-05 Elio B Porcelli, Victo S Filho
We performed several measurements of angular velocities on a suspended monolayer capacitor subjected to high electric voltages. The experimental setup is similar to that reported by Trouton and Noble, but which presented negative results for the rotation of the device. The measurements were made without or with electromagnetic shielding in the capacitor. We measured a small torque on the device which
-
Temperature variance portends and indicates the extent of abrupt climate shifts IOP SciNotes Pub Date : 2021-01-31 Christine Ramadhin, Chuixiang Yi, George Hendrey
Here, we show a discernable increase in temperature variance before a glacial termination by both the Ansari-Bradley test and the moving variance methods plus introduce the idea that there is a correlation between the peak variance and peak temperature increase. The behavior of temperature variance shows potential as a useful tool in analyzing time series data of Earth systems to assess the risk and
-
Friction correction of flow stress-strain curve in the upsetting process IOP SciNotes Pub Date : 2021-01-29 Japheth Obiko
This article reports the effects of friction on the flow stress-strain curve obtained from uniaxial compression test. Uniaxial compression test was done at deformation temperature range of 575 C–650 C and strain rates of 0.001 s−1, 0.01 s−1, 0.1 s−1 and 0.5 s−1 to a strain of 0.6 using Gleeble 3500 thermo-mechanical simulator. The friction parameter was calculated by using the analytical equation from
-
A novel dataset for analysing sub-national socioeconomic developments in the Indian coal industry IOP SciNotes Pub Date : 2021-01-29 Sandeep Pai, Hisham Zerriffi
Coal use needs to rapidly decline in the global energy mix in the next few decades in order to meet the Paris climate goals of keeping global warming well below 2-degrees Celsius. In emerging economies such as India (the second largest producer and consumer of coal) this would entail reducing long-term coal dependency. Prior work has focused on a coal transition in India from a techno-economic point
-
Performance of the Scheduled Relaxation Jacobi method in a geometric multilevel setting. I. Linear case IOP SciNotes Pub Date : 2021-01-19 Eloisa Bentivegna
I investigate the suitability of the Scheduled-Relaxation-Jacobi method as a smoother within a geometric multilevel (ML) solver. Its performance in the solution of a linear elliptic equation is measured, based on two metrics: absolute performance (measured by the residual reduction in a fixed number of iterations), and parallel scalability. I discuss the theoretical expectations on the effect of this
-
A new approach to study nonlinear space-time fractional sine-Gordon and Burgers equations IOP SciNotes Pub Date : 2020-12-23 Ripan Roy, M. Ali Akbar
In this study, we investigate a couple of nonlinear fractional differential equations namely, the sine-Gordon and Burgers equations in the sense of Riemann-Liouville fractional derivative. In order to examine exact solutions effectively applicable in relaxation and diffusion problems, crystal defects, solid-state physics, plasma physics, vibration theory, astrophysical fusion plasmas, scalar electrodynamics
-
Stencil growth of metallic nanorod: An atomistic simulation IOP SciNotes Pub Date : 2020-12-18 Movaffaq Kateb
The stencil growth of nanoscale patterns using molecular dynamics simulation has been demonstrated. A comparison has been made to a film grown by identical conditions without the stencil. It is shown that in the case of nanoscale proximity between mask and substrate, patterns of the same dimension as the mask can be obtained. The results also indicate that the obtained nanorod presents a higher surface
-
Dynamics of Rnyi entanglement entropy in diffusive qudit systems IOP SciNotes Pub Date : 2020-12-18 Yichen Huang
My previous work [arXiv:1902.00977] studied the dynamics of Rnyi entanglement entropy R α in local quantum circuits with charge conservation. Initializing the system in a random product state, it was proved that R α with Rnyi index grows no faster than ‘diffusively’ (up to a sublogarithmic correction) if charge transport is not faster than diffusive. The proof was given only for qubit or spin-1/2 systems
-
Superpositions of unitary operators in quantum mechanics IOP SciNotes Pub Date : 2020-12-17 Hollis Williams
We discuss the significance of superpositions of unitary operators in the formalism of quantum mechanics. We show that with this viewpoint, it can be demonstrated that one can observe a measurement with zero Ozawa uncertainty in a physically realisable feedback set-up which uses polarised photons coupled to spin. We derive a set of conditions under which a linear combination of unitary matrices is
-
The large genome of Synechococcus moorigangaii CMS01 isolated from a mangrove ecosystem- evidences of motility and adaptive features IOP SciNotes Pub Date : 2020-12-15 Anwesha Ghosh, Punyasloke Bhadury
The whole genome of Synechococcus moorigangaii CMS01 isolated from Indian Sundarbans mangroves of Bay of Bengal is about 5.5 Mbp in size and contains approximately 0.5 Mbp plasmids. Genome annotation revealed total of 5806 genes out of which 5701 were CDSs. Of these, 5616 coding genes with 5616 protein coding CDSs were found. Along with genes coding for essential metabolic proteins, transport proteins
-
Effect of short carbon fiber/SiC on tribological properties of aluminium matrix hybrid composites IOP SciNotes Pub Date : 2020-12-10 Tanmay Vivek Joshi, Akash Mohanty
This research study was carried out to combine the beneficial properties of Silicon Carbide (SiC) and carbon fiber (CF) as reinforcements in the aluminum matrix to develop the composites for automotive and aerospace applications. Powder metallurgy was used to fabricate five samples with different compositions. Optical microscopy was used to visualize the microstructure and the phases of the composite
-
Solid-state dewetting of silver-thin films: self-assembled nano-geometries IOP SciNotes Pub Date : 2020-12-08 M T Sultan, A Manolescu, H G Svavarsson, A Valfells
The study presents the dynamics of solid-state dewetting of silver (Ag)-film annealed in N2 ambient, analyzed by atomic force microscopy and scanning electron microscopy. Varying the annealing parameters (i.e. temperature and time) and Ag-film thicknesses were taken into account, to determine their effect over the solid-state dewetting of Ag-films. Several morphological evolutions from nanohole to
-
Ku-Band scintillation over Akure, Nigeria IOP SciNotes Pub Date : 2020-12-04 Ayodeji Gabriel Ashidi
Relationship between scintillation intensity (σ χ ) and peak-to-peak amplitude (χ pp) is important for mitigating scintillation effects on any communication link. This study employs linear, logarithmic and polynomial functions for fitting σ χ and χ pp in order to determine the best model for describing the variation of the former with the latter. It also examines the frequency of occurrence of scintillation
-
Multi-Class classification of vulnerabilities in smart contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing IOP SciNotes Pub Date : 2020-12-04 Ajay K Gogineni, S Swayamjyoti, Devadatta Sahoo, Kisor K Sahu, Raj Kishore
Vulnerability detection and safety of smart contracts are of paramount importance because of their immutable nature. Symbolic tools like OYENTE and MAIAN are typically used for vulnerability prediction in smart contracts. As these tools are computationally expensive, they are typically used to detect vulnerabilities until some predefined invocation depth. These tools require more search time as the
-
The impact of process parameters on surface roughness and bushing in friction drilling IOP SciNotes Pub Date : 2020-11-26 Narayana Moorthy N, T C Kanish
Friction drilling is considered a non-traditional hole making method in which the workpiece is penetrated by a conical rotating instrument and a bush is formed without producing chips in a single cycle. In the present work, using a CNC milling machine, the friction drilling process was carried out on Be-Cu C17200 plate material. The process parameters such as spindle speed and feed rate were performed
-
S-band electron spin resonance spectroscopy using a short-circuited coplanar waveguide resonator IOP SciNotes Pub Date : 2020-11-19 Subhadip Roy, Anuvab Nandi, Pronoy Das, Chiranjib Mitra
In this work, we study the development of a coplanar waveguide (CPW) resonator and its use in an electron spin resonance (ESR) spectrometer. The CPW resonator is designed to operate in S-band (2-4 GHz), with a short circuit configuration leading to miniaturization. It is so constructed such that it has a characteristic impedance of 50 ohms. The resonator supports quasi-TEM mode of propagation owing
-
Independent component analysis for pulse compressed frequency modulated thermal wave imaging for inspection of mild steel IOP SciNotes Pub Date : 2020-10-22 Kirandeep Kaur, Ravibabu Mulaveesala, Anju Rani and Vansha Kher
Non-destructive testing & evaluation plays a crucial role in various sectors for testing the reliability of materials. Of the different available non-destructive examination techniques, thermal non-destructive testing provides fast and remote inspection of the materials. Among various widely used thermal non-destructive testing techniques, frequency modulated thermal wave imaging gained its importance
-
Text emotion mining on Twitter IOP SciNotes Pub Date : 2020-10-22 Suboh M Alkhushayni, Daniel C Zellmer, Ryan J DeBusk and Du’a Alzaleq
Twitter has become a medium through which a substantial percentage of the global population communicates their feelings and reactions to current events. Emotion mining from text aims to capture these emotions by using a series of algorithms to evaluate the contents of each tweet. In this study, tweets that expressed at least one of seven basic emotions were collected. The resulting dataset was a corpus
-
Synthesis and characterization of barium titanate/polyacrylonitrile nanocomposite for electrochemical sensing of doxorubicin IOP SciNotes Pub Date : 2020-10-09 Sameena Mehtab, M G H Zaidi, Pragati Joshi and Deependra Bawari
A microwave (MW) assisted process was evolved to synthesize a series of polymer nanocomposites (PNCs) through 2,2-azobisisobutyronitrile (AIBN) initiated free radical in situ polymerization of acrylonitrile (AN) in presence of nanobariumtitanate (NBT). The reaction conditions were optimized and microwave power ranging 25 to 100 W over 10 min was found to be most suited for the synthesis of PNCs. Synthesis
-
The effect of 5f states on the nd → 5f transition energies and spectra of americium ions IOP SciNotes Pub Date : 2020-10-10 N J Dala, Wu Zhong-Wen, Ding Xiao-Bin, Xie Lu-You, Dong Chen-Zhong
The spectra originating from the electric dipole transitions of nd (n=3−5) core excited states to the 5f valence states of Am2+ to Am8+ ions have been calculated using the Dirac-Hartee-Fock method, which are compared with the results from the Flexible Atomic Code for the explanation of accuracy. It is found that both the and spectra of these ions consist of two peaks that are well separated in energy