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The second most common malignancy among women worldwide is breast cancer. Despite cutting-edge therapeutic options, systemic toxicity continues to be a serious side effect that increases patient morbidity and death. Natural goods have recently become a target for pharmacological due to their crucial functions. Primary source of natural substances utilised in medicine has been plants. However, the majority of herbal bioactive have a hydrophobic character, which limits their bioavailability and, consequently, their therapeutic potency. combining anticancer herbal bioactive with various nanocarriers is a promising approach to address some challenges associated with conventional cancer treatments. Nanocarriers are nanoscale delivery systems that can effectively transport therapeutic chemicals, including herbal bioactive to the body's target location while encapsulating and protecting them. Black cumin seed has been demonstrated in animal experiments to inhibit the formation of tumour cells and lessen the frequency of tumours. Patients with breast cancer who used an N. sativa gel topically saw a reduction. When the seed oil of N. sativa was given to breast cancerous cells (MCF-7) alone or in combination with doxorubicin, there was a reduction in cell survival and proliferation, revealing important opportunities in the area of cancer therapy. [ABSTRACT FROM AUTHOR]

In recent times, due to the increase in air pollution and its impact on the everyone's health and environment; it has become a very tedious task to monitor and check the air quality. Predicting the air quality is a highly tangled task due to the volatility, particle nature and variables constituting the pollutants. It has become pertinent to check the air quality in rural/urban areas due to the impact it has on people's health and the environment. In this paper, we first do comparative analysis of popular ML(machine learning) method, linear regression, random forest, XGBoost decision tree, k-nearest neighbors (KNN), and L1 and L2 regularization for forecasting pollutant and particulate levels and also the air quality index (AQI) is predicted. Then we apply cross validation and grid search to optimize our random forest model. Finally, we predict the model with Long short-term memory (LSTM). [ABSTRACT FROM AUTHOR]

In this paper presents a broadband rectangular microstrip patch antenna and performance for wireless communication. In basic form, a microstrip antenna consists of a radiating patch on one side of dielectric substrate which has a ground plane on the other side. It is generally made conducting materials such as copper or gold and can make any possible shape. For radiator, rectangular patch is used widely. This rectangular microstrip patch antenna is designed for wireless communication application. It works at 2.4 GHz with gain 12 dB for outdoor areas. It is also having a wide angle of beam in radiation pattern. Several advantages of such broadband antenna, such as planar, small in size, low cost, easy fabrication, simple structure and easy practical application. The motive of this paper, to achieve lower return loss, higher gain and lower VSWR (Voltage standing wave ratio). From simulation, the return loss, gain and VSWR were found – 13.89 dB, 6.6 dBi and 1.5 respectively. In spite of this one main limitations antenna is their narrowband performance due to its resonance nature. The results obtain that microstrip patch antenna can be used as client antenna in computer and workable antenna for wireless. There is still back lobe in radiation of microstrip antenna. [ABSTRACT FROM AUTHOR]

The present analysis is aimed to study the influence of gravity modulation on Jeffery fluids saturated anisotropic porous medium. The solution of Ginzburg-Landau equation (GLE) is derived to calculate heat transfer with the help of weakly nonlinear analysis. The graph shows that the start of convection is increases by increase of mechanical anisotropic parameter and Jeffery parameter, on other hand the start of convection is delayed for thermal anisotropic parameter. The Nusselt number is decreases with increase in Jeffery parameter, mechanical anisotropic parameter and thermal anisotropic parameter so heat transfer diminish and therefore system become stable. On other hand heat transport increases due to increase in Vadasz number so system become unstable. [ABSTRACT FROM AUTHOR]

There are a number of current uses for aluminium network composites. When it comes to coordinating qualities, no modern solid material can match aluminium framework composites. The properties of aluminium lattice composites are greatly affected by the support concept, which may take the form of a continuous or fractured fibre structure. Focusing on composite-coated aluminium materials, this paper examines their microstructure and hardness. Because of its low density and great strength, aluminium finds widespread use in aerospace, marine, and automotive applications; nevertheless, protective coatings are often required to prolong the material's life since it oxidises at a higher rate than steel. The mechanical conductivity of PVD-coated aluminium is affected by the covering material. Composite materials and designs abound for use on aluminium plates. The primary goal of covering is to increase the material's solidity and prevent its breakdown. We use a PVD method to coat the aluminium plate with the composite material. Some of the tests used to determine the material's resilience when coated include the scratch test, the Rockwell hardness, the nano-space test, and the rebounce test. The adhesion test determines how well the coated material adheres to the aluminium plates. [ABSTRACT FROM AUTHOR]

Data analytics is a scientific process of analysing raw data to conclude data that will help us to predict future business or industry trends. Many techniques and algorithms are used in data analytics to work together on raw data for human consumption. Data is increasing at an alarming rate. Data is generated by various industries, users, and businesses. It becomes critical to combine the data which is generated from various sources. A lot of valuable information will be lost if it is thrown away. Previously, skilled analysts were required for data processing; however, many tools are now used for gathering and interpreting data. This research study attempts to elevate some of the tools and techniques used to process raw data and highlight the role and importance of data analytics in forecasting business trends. [ABSTRACT FROM AUTHOR]

Artificial Intelligence has been used to interpret data to make decisions and understand the emotions of humans. Sentiment analysis is a technique for determining people's attitudes, feelings, and emotions about a certain purpose, such as people, or organizations. Since the emergence of the internet, individuals have used text messaging as a source to communicate with each other. As a result, in today's virtual community, robots must interpret emotions in views, comments, and textual exchanges to give emotionally aware replies to users. Emotion detection is a subtype of sentiment analysis that predicts a specific emotion rather than just reporting good, negative, or neutral. Many researchers have previously worked on voice and facial expressions for emotion identification in recent years. However, detecting emotions in the text is a time-consuming operation. Humans easily recognize emotions, but the real issue emerges with technology. To discern emotions in text, machines require an accurate algorithm. This study uses a data set from open-source Kaggle. Our algorithm, unlike previous research, can detect emotions from text with an at most accuracy of over 86%. [ABSTRACT FROM AUTHOR]

Crop diseases present a substantial threat to worldwide food security, emphasizing the critical importance of timely and precise disease detection to mitigate yield losses and support sustainable agriculture. This study introduces an innovative approach that harnesses the power of Machine Learning (ML) and the Internet of Things (IoT) to revolutionize the detection of crop diseases. Within this framework, IoT sensors strategically deployed across agricultural fields gather real-time environmental data, while high-resolution crop images are captured using drones and on-site cameras. ML models, including Convolutional Neural Networks (CNNs), harness this data to enable early and accurate disease detection. By integrating IoT capabilities, we can correlate disease outbreaks with environmental factors, thereby enhancing the decision-making process. The results are promising, consistently demonstrating high accuracy in disease detection and the potential for reducing the need for chemical treatments. This research paper signifies a significant step towards promoting sustainable farming practices and enhancing global food security. [ABSTRACT FROM AUTHOR]

Diabetes is linked to an increased susceptibility to various health complications, encompassing heart disease, kidney issues, strokes, ocular impairments, and nerve afflictions. The current healthcare practice revolves around the execution of multiple diagnostic tests to procure the requisite information for diagnosing diabetes and consequently devising treatment plans based on these diagnoses. The healthcare sector gains significantly from applying Big Data Analytics, offering the capability to dissect vast and intricate datasets to unveil concealed patterns, insights, and knowledge that can ultimately facilitate precise predictive outcomes. In this research endeavour, we focus on the comprehensive analysis of the Pima Indian diabetes database sourced from the UCI repository. Our primary objective is to fashion a robust and efficient model for predicting and diagnosing diabetes. To enhance the accuracy of our model, we integrate the bootstrapping resampling technique and meticulously assess the performance of a range of machine learning algorithms. These encompass the Random Forest, Decision Trees, K-Nearest Neighbours (KNN), Support Vector Machine (SVM), and Artificial Neural Network (ANN). Through these exhaustive analyses, we aspire to pinpoint the algorithm that offers the utmost prediction accuracy for diabetes diagnosis. [ABSTRACT FROM AUTHOR]

This study's main goal is to examine if green algae can 'be used as an adsorbent material to remove humic acid (HA) from water bodies. To effectively remove humic acid from water bodies, several factors were carefully evaluated. These factors include the contact time between the water and the green algae, the dosage of green algae used the pH of the water, the temperature, and the concentration of humic acid. The growth of the green algae consortium in pure media has been studied using the Monod equation. The response surface approach has been used to optimize the development of the green algae consortium in relation to HA removal. The 20 ppm HA concentration has now peaked; on day 10, growth was 0.5 to 1.10 g and concentration was 1.31 ppm, resulting in 93.45% HA removal. The 10 ppm HA concentration has now reached its peak; on day 10; the growth was 0.5–0.98 g and the concentration was reduced to 1.22 ppm, yielding an 87% removal of HA. [ABSTRACT FROM AUTHOR]

This study investigates the influence of microstructure and its related performances on the thermal and mechanical behaviors of porous concrete impregnated with phase-change material (PCM), referred to as PoroPCM. The material is composed of microencapsulated PCM particles embedded in a composite of aqueous foam and cement paste binder. Cement paste and 20% volume replacement of paraffin-based melamine-formaldehyde-coated PCM were used to prepare the paste, which was mixed with 20%, 40%, and 60% volume substitution of foam to prepare specimens. Two mixing methods were applied, one involving gentle mixing and other utilizing a high energy mixer. X-ray computed tomography (CT) was used to visualize the 3D microstructures of the specimens, and the datasets obtained from X-ray CT scans showed that micropore structures differed according to the mixing method. Thermal behavior was measured by inserting thermocouples at the center of cube specimens and increasing their temperature in a controlled environment chamber. Results of temperature rise at the center of cube specimens showed significant temperature control performance (temperature rise delay) with the phase transition of PCM. While compressive strength results revealed that it depended mainly on the porosity of the specimens, the specimens failed with large ductile deformations and cracks failed to propagate owing to the disaggregation of local collapse of the pore walls. [ABSTRACT FROM AUTHOR]

The effects of CeO2 and CdS on the optical properties of ZnO have been investigated. ZnO-CeO2 and ZnO-CdS, ZnO-CeO2 and ZnO-CdS-CeO2 nanocomposites were prepared by solid state method and sintered at 600° C. XRD, FTIR, UV absorption, and fluorescence spectroscopy were used to investigate the optical and structural properties of the prepared composite material. According to the XRD pattern, the average particle size of ZnO-CdS is 54.94 nm, ZnO-CeO2 is 61.95 nm, and ZnO-CdS-CeO2 is 43.17 nm as calculated by Scherer's formula. The FTIR spectra revealed the presence of different functional groups in the composite material. The optical band gap of ZnO-CdS is 2.75eV, that of ZnO-CeO2 is 4.18eV, and that of ZnO-CdS-CeO2 is 3.41eV. To analyse the luminescence spectra, the prepared composites are excited at 370nm. [ABSTRACT FROM AUTHOR]

In recent times, due to the increase in air pollution and its impact on the everyone's health and environment; it has become a very tedious task to monitor and check the quality of air. Predicting the quality of air is a highly tangled task due to the volatility, particle nature and variables constituting the pollutants. It has become pertinent to check the quality of air in rural/ urban areas due to the impact it has on people's well-being and the environment. In this paper, we first do comparative analysis of popular machine learning method, decision tree, linear regression, k-nearest neighbors (KNN), random forest, XGBoost and L1 and L2 regularization to forewarning pollutant and particulate levels and to forecast the air quality index (AQI). Then we apply cross validation and grid search to optimize our random forest model. Finally, we predict the model with Long short-term memory (LSTM). [ABSTRACT FROM AUTHOR]

VLSI design focuses on four primary design factors: area, power, speed, and cost. Standard multipliers have a higher number of different operations, which causes an increase in delay. As a result, circuits using conventional multipliers will be more power-hungry and slower. Digital signal processing relies heavily on multipliers. 32-bit enhanced Wallace multiplier design and FPGA implementation are presented in this study. Verilog HDL was used to code the proposed multiplier, and Xilinx Vivado simulated and synthesized it. It was then implemented on a Zynq 7000 series FPGA board. [ABSTRACT FROM AUTHOR]

The CdCl2 treatment to CdTe absorber layers leads to grain growth, sintering, reorientation, inversion of the grain boundaries, enhancement in carrier concentration and performance of the solar cell devices concerned but, CdCl2 compound is highly toxic and requires more safety procedures which make this treatment expensive. To reduce the toxicity and seek the accessibility of other halides as an activation agent, in the present work, the MgI2 activation is carried out to optimize physical properties of CdTe absorber layers. Thermally evaporated CdTe films having thickness of 600 nm are activated with MgI2 at 235 °C, 310 °C and 385 °C temperatures. The structural study reveals that films are polycrystalline in nature having cubic phase with (310) preferred orientation whose intensity and corresponding crystallite size are enriched from 38 nm to 48 nm with treatment. The optical energy band-gap is varied from 1.46 eV to 1.85 eV with treatment. PL spectra of films reveal two emission peaks centered at ∼652 nm and ∼705 nm due to native defects and extrinsic impurities. [ABSTRACT FROM AUTHOR]

In this paper, Zn0.5Ni0.5Fe2O4 nanoparticles were prepared by the Co-Precipitation method for photocatalytic application. The X-ray diffraction analysisrevealed a single-phase crystalline naturewith a crystallite size of 13.80 nm. The SEM analysis shows analmost spherical morphology of the sample. The band gap is determined with the help of Tauc's plot and found to be 1.98 eV for Zn0.5Ni0.5Fe2O4. The synthesized nanoparticles are used as photocatalysts for Rose Bengal dye degradation and were found to be 77.43% efficient in 50 minutes. Hence, the synthesized Zn0.5Ni0.5Fe2O4 nanoparticles have excellent application as a catalyst in organic dye degradation. [ABSTRACT FROM AUTHOR]

In this paper, Pure and Er doped SnO2 (Er = 1%, 3%, 5% and 7%) nanoparticles have been synthesized by sol-gel method to investigate the degradation of harmful Rose bengal dye. Undoped and erbium-doped SnO2 nanoparticles formed a tetragonal rutile structure, as shown by X-ray diffraction. Oxygen vacancy concentration has been found to increase with an increase in dopant incorporation, according to photoluminescence analysis. Furthermore, the band gap was reduced up to 5% Er (Eg = 3.37 eV) in comparison to that of non-substituted SnO2 (Eg = 3.74 eV), with the creation of vacancy defects being the main cause. The photocatalytic results indicate that 96.94% Rose bengal dye have been degraded by Er 5% within 60 min under UV light irradiation, indicating Er 5% doped SnO2 is the most suitable catalyst to degrade industrial waste (organic dye) on a large scale. [ABSTRACT FROM AUTHOR]

Point absorber wave energy converters (PAWECs) are devices that convert ocean waves undulations into electrical or mechanical energy. A two-body PAWEC captures the energy through relative motion between the floating buoy and a submerged spar. The various hydrodynamic forces such as diffraction force, radiation damping force, added mass force and restoring force, etc. act on the buoy and spar while subjected to irregular wave excitation. These forces along with other constraints affect the system response. The PAWEC should be able to withstand all these forces and retain its stability even in the worst sea conditions. The present work is motivated by understating these forces in different sea states under irregular wave action. The diffraction analysis is performed on a 1: 3.3 laboratory scaled model to evaluate the hydrodynamic coefficients. Further, a multibody dynamics solver code is used for integrated force analyses in the time domain. Finally, it is concluded that the wave excitation force has the most and the radiation damping force has the least effect on the heaving point absorber. [ABSTRACT FROM AUTHOR]

The textile industry accounts for two thirds of the dye market and is the largest consumer of dye in the world. During production and use in packaging, about 10% of the dye is directly lost in contaminated water causing significant damage to the environment. [3]. Bioremediation based techniques has been proved to be the most an effective and inexpensive way to reduce contamination of textile dyes. In Bioremediation microorganisms are used to decolorize and metabolize dyes used by textile dyes. In this work, bacterial strains were isolated and screened for their ability to produce enzymes and eventually to decolorize two widely used textile dye-Reactive Black 5. The dye degradation products analyzed by U-VIS techniques and biochemical tests were performed on the sample. Different bacterial cultures were analyzed for different dyes, parameters such as contaminant conc., and inoculum conc. were studied to find the % removal of dyes. [ABSTRACT FROM AUTHOR]

The present work reported the preparation of hydroxyapatite [HA] and adsorption of Cr (VI) on synthesized HA. In relation to this development of HA, become novel study due to simplicity in production. Hence in this paper HA is produced from waste fish bones [FB]. The bones are washed with water and dried in the presence of sunlight. The dried bones were crushed into small pieces. The crushed bones were calcined at 800 °C for 3 h, to obtain the fish bone hydroxyapatite [FBHA] product. The FBHA was characterized by X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy and energy dispersive spectroscopy. The particle surface area of FBHA was estimated by BET technique. Further, the adsorption of Cr (VI) ions from wastewater solution onto FBHA was examined. The batch adsorption tests were performed and the influence of various parameters such as pH, adsorbent dosage, initial Cr (VI) concentration, and contact time of the solution were optimized using response surface methodology (RSM). The optimum pH, adsorbent dose, initial chromium (VI) concentration, and contact time were found to be 6, 0.2 g, 200 mg L−1, and 15 min, respectively. Cr (VI) removal was 87.27 % at the optimum combination of process parameters. The hexavalent chromium removal increased with increase in initial Cr (VI) ion concentration, adsorbent dose, and time of contact. [ABSTRACT FROM AUTHOR]

E-Loyalty is an essential key performance indicator for any e-commerce company. It plays apivotal role in deciding the business continuity of an e-commerce company. Many types of research have been done to evaluate the relationship of various factors to E-Loyalty. In this research, we are trying to evaluate factors like Technology Acceptance factor, Quality factor, E-WOM, Leniency in return policy, and risk factor with E-Loyalty of an e-commerce company Structural Equation Modeling. We recognized, depending on our analysis of the record: various factors and formulated the hypothesis. As to put the theory to the test, we took a quantitative approach and formed a survey. In the survey, there were questions to understand the effect of any variable on the given factors. The survey is one of the most popular methods of scoring opinions in market research. Also, many opinions can be drawn from a wide range of populations in a very small amount of time. The data is collected through the survey, which was circulated across various social media platforms. After analyzing the data received from various sources, we concluded that the Technology acceptance factor, Quality factor, and return policy leniency importantly influence E-Loyalty. Also, E-WOM and risk factors do not have an important influence on E-Loyalty. [ABSTRACT FROM AUTHOR]

Cooling towers are an essential part of thermal power plants. It significantly increases the overall efficiency of the power plant by continuously delivering cooling water to the condenser unit. The main variables on which cooling tower operation depends are the number of nozzles, decking material, fan power, and most importantly, ambient air. It is important to study the effect of these parameters to design optimal design and operating conditions such as the number of nozzles required, what speed should the fan run at, and what type of decking material should be used. In this regard, the current work is an experimental investigation to study the effect of fan speed and the number of nozzles on cooling tower performance. In this work, the authors tested a working prototype of a ducted cooling tower in the laboratory. The investigation has been performed on the existing cooling tower setup and modified cooling tower setup. The setup has been modified by providing more number of nozzles and a regulator to control the blower speed. These modifications enable the investigators to study the effect of change in these parameters on cooling tower performance. The results obtained have been comparatively analyzed with the help of graphs and column charts. It is found that the modified setup with two separate tanks leads to an increase in efficiency of about 11% for two nozzles and about 17.5% for four nozzles operating under the same conditions. [ABSTRACT FROM AUTHOR]

Metal organic frameworks (MOFs) are coordination compounds formed by metal centers and organic linkers. The metal organic frameworks have the potential to act as a promising drug carrier due to their properties like high porosity, biological stability, adjustable shape and size, less toxicity, and controllable drug release. The drug is released when a stimulus (pH, Light, Temperature, magnetic field, etc.) is applied. This review highlights the synthesis and modification of MOFs, commercial availability of MOFs, and their role in drug delivery. [ABSTRACT FROM AUTHOR]

Pure SrTiO3 (STO) was prepared by wet chemical route sintered at 1100oC. The Prepared sample was characterized by FT-IR, UV absorption, XRD and Photoluminescence.FT–IR a spectrum of STO had broad absorption peaks around 1000 cm−1 was due to crystal lattice vibrations. Absorption peaks at 922, 972 and 538 cm−1 were due to stretching vibration of Sr-O and Ti-O bond, respectively. XRD study reveals that STO had a typical perovskite of cubic symmetry indexed by standard JCPDS PDF No. 89-4934. The average crystallite size was calculated by using Scherer's formula and found to be 87.20 nm.UV absoption spectra showed that broad abroption peak in the UV region was around 250–320 nm, as expected. Emission spectra had broad emission in yellowish-green visible region excited by 259nm. It was concluding that prepared nanophosphor is highly recommended for display applications. [ABSTRACT FROM AUTHOR]

In the agriculture field, the production yield is often less than the farmer's expected value because a few parts of the crops are damaged by pests and insects. Chemical pesticides have wide applications in the agriculture field. Through the agricultural run-off, these pesticides contaminate the water sources. So, there is a need for highly efficient La-doped ZnO photocatalytic material for pesticide degradation. Photocatalytic material was synthesized via a hydrothermal route. Zn (NO)3.6H2O and La (NO3)3.6HM2O was used as zinc and lanthanum precursor in ethanol. Surface Morphology and dopant composition were analyzed by SEM-EDX images which confirmed the hybrid of the metal doping process. [ABSTRACT FROM AUTHOR]

In this paper, a Block-Chain and IoT-based smart electric vehicle (EV) charging infrastructure is discussed. The EV load flexibility and leveraged are found with smart charging. EV charging stations will become more efficient and convenient as a result of IoT technology, not only for drivers but also for service staff. Using IoT, electric vehicle charging stations may be easily monitored and operated from a single platform. Block-chain adds a layer of trust to the joint commercial interests of electric vehicle drivers, service providers, and owners. Furthermore, the Block-Chain approach creates a protected and trustworthy market with automatic smart contracts. We discussed smart and sustainable EV charging based on IoT and Block-chain Technology in this work. [ABSTRACT FROM AUTHOR]

Pure ZnO, pure CeO2 and, composite of ZnO/CeO2 was prepared by solid state method and sintered a 600° C. The prepared sample was characterized by using XRD, UV absorption and Fluorescence spectrometer. Average particle size of ZnO/CeO2 composite was 61.95 nm where pure ZnO had average particle size of 41.23 nm may be due to the large ionic radius of Ce+3 as compared to Zn+2. Blue shift in band gap had been observed for ZnO/CeO2 composite as compared to pure ZnO. To study the luminescence spectra, the prepared material was excited by 370 nm. From the data it was observed that the material shows good optical emission in violet and far red region. Therefore, it has been concluded that prepared sample can further be explore for grow light. [ABSTRACT FROM AUTHOR]

Chlorpyrifos insecticide is one of the most extensively used organophosphorus pesticides due to its low cost and excellent performance in controlling pests in agriculture fields and gardens. The presence of pesticides in the aquatic environment produces a slew of issues for both humans and ecosystems. The purpose of this research is to assess the photocatalytic detoxification of chlorpyrifos in wastewater utilizing g-C₃N₄/GO nanoparticles. The g-C₃N₄/GO nanoparticles were successfully synthesized by using calcinations and hydrothermal methods. Additionally, the photocatalytic detoxification of chlorpyrifos was examined by optimizing several parameters such as catalyst type, irradiation period, catalyst concentrations, and pH. The photocatalytic efficiency of g-C₃N₄/GO nanoparticles was determined by using a UV–visible spectrophotometer. According to the findings of this study, the photo detoxification effectiveness of chlorpyrifos pesticides rises with increasing illumination time, and detoxification of chlorpyrifos by using a photo-catalyst was strongly influenced by the operational parameters. [ABSTRACT FROM AUTHOR]

We have reported structural, optical and thermophysical properties of TiNiSn using density functional theory. We have considered non-magnetic states to check the stable structure. It is found that the TiNiSn is stable in cubic state. Various optical properties viz refractive index, reflectivity etc and various thermophysical properties viz. Debye temperature, isothermal coefficients, heat capacity, entropy and volume etc at high temperature and high pressures are studied for the first time in case of TiNiSn. Our reported results on thermophysical properties ensures the Debye T3 law and Dulong Petit limit of TiNiSn at high temperatures and high pressures. Moreover, our results on optical properties further accelerate the study of thermoelectric properties of TiNiSn also. [ABSTRACT FROM AUTHOR]

In this paper, some changes carried out in the LDMOS known as MOSFET1 by utilizing trench known as MOSFET2. In the proposed device silicon material acts as channel material and the gate electrode is placed in oxide trenches. The drain contact is positioned at the centre and the sources are located at the edges. In the MOSFET2, two gates creating the two channels. Channels acts together so produce large gain, current, and voltage need for the power IC. An extension in breakdown occurs due to the RESURF in MOSFET2. With the help of simulator the performance are analysed with that of the MOSFET1. The MOSFET2 gives 111% improvement in gain, 12% decrease the threshold-voltage, 2 times higher output current in comparison with the MOSFET1. The performance of the MOSFETs is investigated by device simulator ATLAS. The proposed device is suitable for analog applications. [ABSTRACT FROM AUTHOR]

Complex vanadium oxide is an excellent multifunctional material. Various forms of vanadium oxide was synthesized out of them orthorhombic V2O5 form is more stable. In this manuscript hydrothermal process and mechanochemical process is adopted of the synthesised of Vanadium oxide in different morphological phases. The samples are characteristics by XRD methods using a hydrothermal technique, the V2O5 precursor was successfully synthesised by mixing NH4VO3 and C2H2O4 in a 1:1 molar concentration ratio and conducted the reaction at 150 °C for 7 hours. The orthorhombic phase V2O5 formation is confirmed by the X-ray diffraction. The position of the peak and the quality of the phase formation is tabulated in the paper. Hydrothermal method displays high crystalline belt like formation while mechanochemical method shows formation of nano-particle with deteriorated degree of crystalline confirmed by SEM. The synthesis of high crystalline vanadium oxide orthorhombic phase in different morphologies opens up a way to utilize such materials towards the energy storage and sensing applications. [ABSTRACT FROM AUTHOR]

From the beginning of the 21st century, THz-spectroscopy and imaging caught attention of the researchers across the globe. The sub-millimeter wave or terahertz waves is the electromagnetic wave that lies in between the microwave and infrared region of the EM-spectrum, having a frequency range of 0.1 to 1 THz. With the rapid development of the detection and production of THz waves, many applications of T-Ray in the field of communication, astronomy, material characterization, security scanning at the airports and in healthcare industry have been developed. Because of the low ionization energy and non-destructive in nature, T-Ray shows promising applications in biomedical industry. It's safe to use for living tissues and has shown great potential to replace other currently used methodologies in medical industry. In this article, we have done a short review of the applications of the terahertz imaging in early detection of Cancer. People have done lots of research in biomedical imaging using THz beam. Detection of cancer using T-Ray got everyone's attention because early detection of cancer is very rare in healthcare sector. [ABSTRACT FROM AUTHOR]

The color tunability property of nano-sized semiconducting materials for broad range visible light emission (400-700 nm) depends upon the excitation wavelength, particle size, and sintering temperature. Defect states are the most common cause of visual emission from semiconducting materials. A lot of work had been reported on visible emission due to defect centers. An attempt has been made to study the visible emission from pure ZnO, pure CdS and ZnO/CdS nano composite sintered at 600oC. Powder XRD spectra of the samples were indexed using JCPDC file No. 36-1451 confirming the hexagonal wurtzite phase. XRD pattern confirmed that CdS in ZnO did not change the hexagonal phase of ZnO. The average particle size of ZnO/CdS composite was 56.8 nm where pure ZnO had average particle size of 39 nm. The emission properties of pure ZnO, pure CdS and ZnO/CdS composite have multicolor emission due to defect center. With the introduction of CdS in ZnO, the emission properties of the ZnO/CdS nano composite were enhanced. As a result, ZnO/CdS nano composites have greater potential for optoelectronic applications than pure ZnO and CdS. [ABSTRACT FROM AUTHOR]

Magnesium aluminate (MgAl2O4) and Zinc aluminate (ZnAl2O4) powder were prepared using the sol-gel method. The prepared sample was dried at 1500C and sintered at 7000C. The phase formation of both the samples was confirmed through X-Ray Diffraction (XRD). Fourier Transfer Infrared Spectroscopy (FTIR) showed the successful formation of metal-oxygen bonds of both the materials. The UV Visible spectra of MgAl2O4 and ZnAl2O4 at 7000C showed maximum absorption in UV region. The bandgap of the prepared material was analyzed from UV-Vis spectroscopy which concluded that the material is a wide bandgap semiconductor. The luminescence properties of the material were analyzed from fluorescence spectroscopy (FL) and have emission in the visible region. It is concluded that the material is suitable for display devices. [ABSTRACT FROM AUTHOR]

These days mutual funds are the most studied areas in developed and developing countries due to its efficiency and managing the funds professionally. Mutual funds are investment vehicles that pool together funds from small retail investors with the flexibility of buying small units of funds. Mutual funds are essentially investments where people with similar investment objectives come together to pool their money and then invest accordingly. When public and private mutual funds were compared, the private mutual fund companies were found much more beneficial rather than public mutual fund companies for the investors to invest in. [ABSTRACT FROM AUTHOR]

CNNs are extensively used because leading results have been obtained in numerous areas, including as computer vision and voice recognition. The large availability of competent underlying hardware platforms has been part of this achievement. At the time, specialisation in hardware may expose us to new architectural solutions that can outstrip computers with broad purposes for the laser activities involved. Although various applications need distinct performance metrics, all of them have high priority in speed and energy economy. Mean while. Due to its hereditary high speed and low power characteristics, the processing has resurged. Here we examine the possibility for the use of CNNs with the proposed design of an accelerator based on the algorithm of modified filters. Our findings of our assessment demonstrate the possibility for improved energy efficiency while pipeline accelerators compete with state of the art electronic platforms, both in terms of speed and power. The design presented is synthesizable and simulated in Xilinx ISE. [ABSTRACT FROM AUTHOR]

In the current era of scientific expansion, medical imaging plays a significant role in numerous applications of health hazard analysis and treatment. In this regard, medical image fusion could be an efficient tool to combine multi modal images by using image processing techniques. The conventional approaches have failed to provide effective image quality assessments from the fused images. To overcome these drawbacks, in this work three stage hybrid fusion approach is developed by utilizing the combination of Laplacian and Gaussian pyramid decomposition on source image performed initially followed by generation of weight based Convolutional Neural Networks (CNN) approach. Finally, fusion of frequency bands is performed using pyramid reconstruction and utilizing the probabilistic fusion bands. The results obtained from the implementation shows that the proposed method outweighs the conventional approaches in the parameters of Peak Signal-to-Noise Ratio (PSNR), Root Mean Square Error (RMSE), Connected Components (CC) and Structural Index Similarity (SSIM). [ABSTRACT FROM AUTHOR]

Surface roughness in microflows plays an important role in dictating the dynamics of fluid flow at the fluid-solid interface due to the large surface-to-volume ratio thus making the roughness length scales comparable with the bulk flow. However, roughness is mostly perceived previously by using either peaks or valleys which is a notional representation of the realistic surfaces obtained from microfabrication techniques. In an attempt to come up with an accurate description of the water transport phenomenon in rough walled channels of sub-micron length scales, we consider realistic rough surfaces of varying aspect ratios realized through periodic patterns of peaks and valleys. The rigorous computational resources required for such an analysis using molecular dynamics simulations can be eluded by employing a hybrid molecular-continuum approach which can serve as a framework in discerning the dynamics of water transport in a wide range of length scales. The proposed hybrid model can predict the flow behavior with reasonable accuracy which has immense implications in the development of micro and nanoscale devices. [ABSTRACT FROM AUTHOR]

Recent times the transportation sector plays a significant role in the economy of countries, in this aspect the total recognition of transportation have not work without oil to run the engines. The used oil needs to change every 5000 to 10000 kilometers, because it's losing its properties, which leads to damage the engine. As per the research point of view it's a part of petroleum oil, therefore recycling process is the best solution to reduce the demand of the petroleum oil as well as minimize the pollution aspect to the environmental concern. The present investigation focusses on renovation and recycling of used lubricating oil using extraction, adsorption and distillation techniques to remove the major impurities by adding solvents. The study of recovery of oil was carried out in three stages and analyzed results, reported the physical properties such as kinetic viscosity, TAN, Sulphur content etc. The result shows that the recycled oil has good quality and capability to reuse as lubricant oil with low cost from the base about 25%. The characterization studies were conducted by gas chromatography and Flame atomic absorption spectrometer. [ABSTRACT FROM AUTHOR]