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Relationship Between Socio-Cultural Environment and Creativity of Secondary School Pupils of Bengarpet Taluk
Indian Streams Research Journal Vol. 2, Issue 9, PP. 138-142, ISSN No. 2230-7850 -
Surveillance system based on raspberry pi for monitoring a location through a mobile device /
International Journals of Advanced Multidisciplinary Research, Vol.2, Issue 3, pp.75-79, ISSN No: 2393-8870. -
Design, synthesis, single-crystal X-ray and docking studies of imidazopyridine analogues as potent anti-TB agents
With the intent to discover new anti-TB compounds, new imidazopyridine analogues were synthesized through Schiff-base reaction. The newly developed imidazopyridines (I1-I8) were characterized using spectroscopic and elemental analysis. In addition the structure of compound I3 was elucidated by the single crystal X-ray diffraction technique. The global chemical reactivity descriptor parameter was calculated using theoretically DFT-B3LYP-631G(d) basis set which estimated HOMO-LUMO value and results are discussed. All the newly synthesized compounds were screened for their in vitro anti-tubercular activity, while the most active compounds were subjected to a cytotoxicity assay on Vero cell lines. Most of the tested compounds exhibited significant anti-TB activity with MIC in the range 3.12 12.5 ?g/mL. Among the synthesized, compound I2 and I7 were found to be more active than the standard anti-TB drug streptomycin and comparable activity to pyrazinamide. A cytotoxicity study on Vero-cell lines confirmed the nontoxic nature of compound I2 and I7 indicating good safety profile. The molecular docking studies on PDB IB: 4ED4 enzyme of Mycobacterium tuberculosis was conducted to investigate mechanisms of anti-TB activity. The compounds displayed excellent hydrogen binding interactions and docking scores against MTB, which were in accordance with the results and further supported its credibility. 2023 -
Statistical features from frame aggregation and differences for human gait recognition
Human gait recognition, an alternate biometric technique, received significant attention in the last decade. As many gait recognition applications require real-time response, the primary concern is to design efficient and straightforward gait features for human recognition. In this work, two novel gait features are proposed. Both features are designed by exploring the dynamic variations of different body parts during a gait cycle. The first feature set is based on one-against-all gait frame differences for person identification. This novel approach divides each frame in a gait cycle to blocks, compute the block sum, and then find the difference of respective block sum between the first frame and the rest. The second feature set is defined on the first-order statistics of the normalized sum of the frames in a cycle. Two other existing features- Centroid of Silhouette frames and feature values defined on Change Energy Images are also considered. Feature level fusion is realized by considering the different combinations of the four types of features. Experiments carried out with the CASIA Gait Dataset B demonstrated the proposals merit with high recognition accuracy. The outcome of the investigations is promising when compared to recent contributions. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. -
Dynamics of Indian stock market integration with global stock markets /
Asian Journal Of Management, Vol.8, Issue 3, pp.559-568, ISSN: 2321-5763 (Online) 0976-9495X (Print). -
Analysis of value and growth styles of investing : A study on nifty 100 index stocks of NSE /
Asian Journal Of Research In Business Economics And Management, Vol.7, Issue 5, pp.165-177, ISSN: 2249-7307. -
Deep learning based model for computing percentage of fake in user reviews using topic modelling techniques
Sentiment analysis plays a vital role in real time environment for knowing the history of a product or any other specific entity. Due to large number of users in the www, chances are there that many fake users may upload the fake reviews to damage the business for the sake of money. Identifying the fake reviews or percentage of fake content in the review is yet a challenging task. In this paper, an attempt has been made to find the percentage of fake in the review data. Two methodologies are combined to address this issue. Concept of spelling checking, topic modelling and deep learning for context extraction is extensively used to build the effective model. Proposed technique is exhaustively checked for efficiency with many trails of experiments. Also, the training and testing samples were shuffled for experimentation. The results of the models show its goodness. The details of the results can be found at experiments section. 2024 The Author(s) -
Hierarchically porous MN-MOFS composite with RGO as an efficient electrode material for supercapacitor application /
Patent Number: 202241046378, Applicant: Sruthi Rajasekaran.
The present invention shows the energy storage application of the manganese-reduced graphene oxide metal organic frameworks (Mn-rGO MOFs) using the ligand, pyridine 2,6 dicarboxylic acid (PDA), under mild conditions. The methodology followed was hydrothermai at 160°C with manganese sulfate as metal salt, rGO along with the PDA ligand in pyridine, and water as solvent. The development of efficient Mn-rGO MOFs is suitable for supercapacitance energy storage applications, which is the future need for various industrial applications. -
Bismuth ferrite nanoparticles decorated CR2C MXENE: A highly efficient electrocatalyst for hydrogen evolution /
Patent Number: 202241040877, Applicant: B Shalini Reghunath.
The current invention demonstrates the efficiency of bismuth ferrite/Cr2C MXene binary composite as a highly efficient electrocatalyst for hydrogen evolution reaction in alkaline media. The methodology for preparing O2C MXene is by etching the O2AIC MAX phase with hydrofluoric acid for 30 min at room temperature. Cr2C MXene and bismuth ferrite nanoparticles are mixed under solvothermal conditions to obtain the bismuth ferrite/Cr2C-MXene binary composite. -
Two-dimensional CR2C MXENE decorated with COFE204 nanoparticles for high-performance supercapacitor application /
Patent Number: 202241046374, Applicant: B Shalini Reghunath.
The current innovation shows the cobalt ferrite (CoFe204) decorated on O2C MXene binary composite. This is used as a high-efficiency electrocatalyst for supercapacitor applications in alkaline media. The O2C MXene/CoFe204 binary composite is prepared by etching the O2AIC MAX phase with hydrofluoric acid for 30 min at room temperature, followed by a solvothermal technique using cobalt ferrite nanoparticles. The interlayer spaces of O2C MXene/CoFe204 electrocatalyst improves on introducing CoFe204 nanoparticles between the O2C MXene layers, thereby boosting the capacitance of the composite. -
Synthesis of amine functionalized metal organic framework using H2FIPBB ligand for energy storage application /
Patent Number: 202241023295, Applicant: Sruthi Rajasekaran.
The present invention shows the energy storage application of the Mn-Ni@NH2-h2fipbb MOF using the ligand 4,4:hexafluoroisopropylidene bis- benzoic acid (h2fipbb) under mild conditions. The methodology followed was hydrothermal at 120°C with manganese and nickel metal salts along with the ligand in dimethylformamide (DMF). The development of efficient Mn-Ni@NH2-h2fipbb material is suitable for supercapacitance-energy storage applications, which is the future need for various industrial applications. -
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Numerical Analysis of durability in high temperature polymerelectrolyte Membrane fuel cell based on acid basedpolybenzimidazole Membrane
The world requirement for renewable energy for a sustainable future is a topic of
great interest. Among such renewable energy, hydrogen is used as an energy carrier in the fuel cell. Among different fuel cell types, the high-temperature proton
exchange membrane fuel cell (HT-PEMFC) has attracted many researchers due to
its wide variety of applications. HT-PEMFC must be further studied to enhance its
performance and durability to meet the energy requirements.
In the present study, a three-dimensional non-isothermal model is developed to
numerically investigate the durability and performance of a HT-PEMFC. The developed model is validated against the experimental data available in literature. A
spatial characterization of CO poisoning in HT-PEMFC is carried out to investigate
the spatial resolution of the polarization curves, H2 concentration, current density,
and anode polarization loss. A graded cathode catalyst structure is studied to enhance the oxygen reduction reaction. The study reveals that the multiple graded
CLs improve performance but leads to uneven current distribution, and high Pt loading downstream signifcantly improves uniformity in the current distribution. The
study also proposes a hybrid catalyst structure to enhance performance and current distribution. The effect of various degrees of misalignment of flow feld plates
and its concomitant impact with varying the clamping pressures on HT-PEMFC operation is investigated to analyze the electrochemical behavior, reactant distribution, heat transport, electric transport, and cell performance and also suggests
the allowable misalignment tolerance. The proton conductivity numerical model for
cage-like cross-linked membranes for enhanced proton conductivity in HT-PEMFC
is developed to give a detailed and fundamental understanding of the polarization
phenomena and species transport. Sensitivity analysis of operational parameters of
HT-PEMFC is carried out to investigate the influential sensitivities of crucial operating parameters on evaluation index such as cell voltage, a standard deviation
of current density distribution, a mean and standard deviation of overpotentials of
anode and cathode at different operating current density regimes. The present research explores the possible improvement and enhancement in cell performance and
uniform species distribution to enhance cell performance and durability. -
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Multifunctional electrospun membranes incorporated with metal oxide nanoparticles, cellulose acetate, and polyvinylpyrrolidone for wastewater treatment: Oil/water separation, dye adsorption, and dye degradation
Multifunctional membranes have gained considerable attention as useful materials for the treatment of complex wastewater that contains dye and oil substances. Electrospun nanofiber membranes (ENM) have substantial advantages and potential for complex wastewater remediation, owing to their unique properties. In this study, an environmentally compatible ENM is fabricated by incorporating photocatalytic metal oxide nanoparticles of zinc oxide (ZnO) or silver-zinc Oxide (Ag-ZnO) into cellulose acetate (CA)/polyvinylpyrrolidone (PVP) nanofibers using electrospinning. Composite membranes ZnO/CA/PVP, Ag-ZnO/CA/PVP, ZnO/DCA/PVP (DCA: deacetylated cellulose acetate), and Ag-ZnO/DCA/PVP (deacetylated) were employed for oilwater emulsion separation, owing to their superhydrophilic and underwater superoleophobic nature, photocatalytic dye degradation due to the presence of ZnO or Ag-ZnO, and dye adsorption resulting from their high surface area. The composite membranes showed more than 95% efficiency for oil/water separation, malachite green adsorption, and photocatalytic methylene blue degradation. These membranes displayed simultaneous oilwater and dye separation efficiency, as well as antibacterial properties. The membrane we present here provides a simple and effective platform for wastewater remediation with a low energy consumption. 2024 Elsevier B.V. -
pH-indicator based on delignified jute fiber and red cabbage anthocyanins for monitoring fish spoilage using a smartphone application
Halochromic materials that show visible color changes in response to changes in pH are suitable for the real-time monitoring of fish spoilage. In this study, an easy-to-use, simple, inexpensive, and non-toxic fish freshness indicator was fabricated by combining delignified jute (Corchorus olitorius) fibers and anthocyanins (halochromic materials) from red cabbage (DFA: Delignified jute fibers incorporated with anthocyanins). A single-step decolorization/delignification using solar irradiation along with NaOH and H2O2 treatment was used for modifying the jute fibers. This method helps to overcome the self-color, mitigates the lack of affinity of jute fibers towards anthocyanins and preserves the lignin so that the strength of the fiber is not impacted. A smartphone-based color analysis was used for real-time fish quality monitoring using DFA. To the best of our knowledge, there are no reports on the use of jute fibers as substrates to incorporate anthocyanins for food spoilage monitoring. The indicator displayed an observable color response to the pH and varying concentrations of amine compounds. During the storage of fish (mackerel), the colorimetric indicator showed a visible color change from pink (for fresh fish) to blue (for spoiling fish) and then to green (for spoiled fish), corresponding to changes in pH and total volatile basic nitrogen. To offer a straightforward quantitative assessment of color changes, we utilized the freely available Android application Color Grab to measure the color using RGB and L*, a*, and b* indices. The DFA indicator providing naked-eye analysis has the potential to be an effective tool for real-time monitoring of on-site food spoilage by non-specialized personnel in resource-limited areas. 2024 Elsevier B.V. -
Atendo: The portable attendence recorder /
Patent Number: 202241019881, Applicant: Kevin Benny.
Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. -
An IOT based remote solar monitoring system design /
Patent Number: 202141010711, Applicant: Sathishkumar V E.
The rapid development of technologies, cost of renewable energy equipment is reducing worldwide and encouraging Solar Power Plants installations in large quantity. The Solar Power Plants generates the Solar Energy, converts sun light into electricity by Photovoltaic cells, mirrors, and lenses. The commercial way of producing the energy from the sun is the viable way of renewable energy. The large scale of the solar power plants are installing in the locations which are not accessible to monitor everyday. The remote real time solar monitoring system is required for each individual solar panel in the solar energy system to know the performance in the form of power output levels. -
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Multi-functional rechargeable chalk dust collector with recycling unit /
Patent Number: 202041009633, Applicant: Pramod Kandoth Madathil.
A detachable electronic chalk dust collector consisting of a control unit having dust collecting components, a dusting unit with alternative directional suction, inbuilt collection unit and sensors. An attachable recharging and recycling unit with di-suction
unit and multifunctional ports and sensors.