bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cloud based data management for experiential products: a case study on motion pictures
Authors: Jagath J L , Shalij P R , Naduthodi H , Hisam A M 
Published: April 2021

Abstract
Product complexity is on the rise with the advancing technological progresses and improved customer demands. This resulted in the implementation of finest technologies and philosophies in the product development arena. Product Data Management (PDM) is one such promising area contributing to the cost-saving, quality and time aspects of product development. Currently, the applications of PDM are mostly limited to the discrete products. In this work it is attempted to bring the experiential product domain too under the purview of PDM. The case of motion picture is taken for studying the application of PDM to the experiential product domain. The comparability of motion pictures with any generic discrete product is confirmed in this study and the necessity of a system for Motion Picture Data Management (MPDM) is established. Cloud-based Motion Picture Data Management system is proposed as a solution for the requirements in motion picture development. Functionalities, components, and architecture of the system are described in this work.
Simulation analysis of stirring parameters in stir casting of AA7068/VC/B4Chybrid metal matrix composite using ANSYS
Authors: Poulose Jasmine , Arun M S , Abdul Samad P A 
Published: April 2021

Abstract
Aluminium-based metal matrix composites (AMMCs) are the most commonly used MMC in the automotive and aerospace applications, because of its special properties. The better way to produce MMCs is stir casting method. In the solid-liquid mixing vessel, a remarkable effect on the particle distribution is its flow behaviour of the fluid. Therefore to lead the experimental research, simulation analysis is a powerful tool. The complexity of obtaining a uniform mixture is an important obligation in the method of stir casting. The advantage of obtaining equal dispensation inside the matrix is a serious issue that affects the features and nature of the integrated materials. The dispensation of the reinforcing particles inside the matrix is dependent on numerous parameters at the time of casting. Crucible particle distribution that is stirred during stir casting was simulated in this work using ANSYS and validation was done based on the value of suspension quality. The effects of some important stirring process parameters such as impeller blade angle and stirrer speed of the molten matrix were examined to get the better particle distribution. AA7068 was used as the matrix and vanadium carbide (VC) and boron carbide(B4C) were used as the reinforcements.
An experimental studyon the effect of manganese dioxide & ferric oxide nano-particles for sewage water decontamination
Authors: Jishnu M , Manjith Kumar B , Narayanan Jishnu 
Published: April 2021

Abstract
The vision of this paper is to investigate and introduce a technique to decontaminate, one of the most essential commodities of life that is, water. The requirement of water for an individual varies from a minimum of 8 liters per day for drinking and cooking to about 20-50 liter per day for other daily needs. Unfortunately, about half of a billion people face the problem of water scarcity throughout the year. The treatment of wastewater namely sewage water can reduce these concerns however; the traditional methods of treatment are not efficient enough to completely remove the emerging pollutants. In this paper an experimental study was conducted for the effect of nano-sized materials on the purification of sewage water. As a matter of fact, various nano-materials have been prepared and used for the removal of contaminants from water. Herein the mechanism of adsorption was taken in to consideration were manganese dioxide and ferric oxide nano-particles were utilized as an adsorbent for decontamination of sewage water. The nano-materials were synthesized by means of planetary ball mills and characterization was done through scanning electron microscope. Then the prepared nano-particles were introduced in to the pre-tested water samples for contaminant adsorption. It was observed that the nano-materials can adsorb contaminants like zinc, magnesium, cadmium, chlorides & sulphates to some extent. In addition to this, the treated water shows excellent water quality standards.
Proposing a new design for segmental bone defect (SBD) tibial implant unit cell
Authors: Sayooj K S , Arun M S 
Published: April 2021

Abstract
One of the critical problems in designing and making an implant is to reduce the weight of the implant without compromising its mechanical properties and make it more porous that replicate the biomechanical properties of the bone. A new design is proposed for segmental bone defect (SBD) tibial implant unit cells rather than the existing design of Aaron Vance and Klaudio Bari (2018). Finite Element Analysis (FEA) was completed for the choice of the unit cell and to predict the implant performance. The optimization is carried out to reduce the mass of the existing unit cell design. The outcome of this research shows that the developed implant unit cell exhibits a mass of 1.06g, the maximum stress of 42.885 MPa, and a relative density of 0.2413. This is slightly lower than the existing unit cells to allow for the replacement of the existing implant unit cell with a porosity of 75.2% which is considered significant for the determination of the unit cell for global structure.
Preparation of chip type negative temperature coefficient thermistor
Authors: Vishnupriya P P , Jaini Thomas , Mariya Binoy , Nair Praseetha P , Ranjana R , Sajeenabeevi B , Jayakumar M M 
Published: April 2021

Abstract
A thermistor is a class of resistor whose resistance varies with temperature. The two types of thermistors are Negative temperature coefficient (NTC) thermistor and Positive temperature coefficient (PTC) thermistor. NTC thermistors have a negative electrical resistance versus temperature (R/T) relationship. These thermistors are extremely versatile and accurate. This makes them best for a wide variety of applications that measure temperature. They find application in firebrand photographic processing, meteorological, geological, and oceanographic research equipment, as well as in consumer and household appliances. This paper presents the development of a chip-type Mn-Ni based negative temperature coefficient thermistor with varying CuO (Dopant) concentration. The changes in electrical properties are also reported. The expected results indicate an increase in resistivity, material constant and temperature coefficient of resistance (a) with an increase in CuO concentration for all the compositions.
Optimization studies on aqueous two-phase extraction of hexavalent chromium from contaminated aqueous solutions
Authors: Suji S K , Sinju M , Radhakrishnan K B 
Published: April 2021

Abstract
Chromium has wide applications in industry and its resources are limited. The total chromium discharge to the environment needs to be monitoredand regulated. The extraction of chromium to PEG offers its reuse in pure form. The present study focuses on the optimization of hexavalent chromium extraction to PEG 1500 using ammonium salt. The effect of independent parameters as to the initial salt solution pH and initial salt phase metal concentration on the extraction efficiency has been studied experimentally. Second-order polynomial models have been used to fit the dependent variables in the experimental range of parameters.Central composite rotatable design in Minitabstatistical software version 16is used as the optimization tool. The maximum efficiency that is achieved through the optimization studies is 29.8%at an initialsalt solution pH of 6.5 and initial metal concentration 24.4 ppm. The corresponding distribution coefficient at the optimum conditionshas been found to be 1.14. The results of the optimization studies have been validated by conducting experiments at the optimum conditions.
Removal of total hardness using low cost adsorbents
Authors: Bindhu B K , Shaji H , Kuruvila K J , Nazerine M , Shaji S 
Published: April 2021

Abstract
Water hardness is an undesirable quality of water in many regions around the world. Hardness can be removed by different methods like ion exchange method, reverse osmosis, distillation, lime soda process etc. But owing to the increase in cost, energy and hectic processes in these methods, it is essential to find an alternative method for softening of water. Nowadays, adsorption methods are gaining attention due its simplicity and efficiency. Efficiency of different adsorbents like Amorphophallus campanulatus (Elephant foot yam), wheat straw ash and rice husk ash and coconut shell activated carbon which are naturally available are investigated in this study. Yam is freely abundant and found to be more efficient compared to others. The efficiency of softening is above 80% for yam. Value of equilibrium constant (RL) and adsorption intensity factor (n) gives the feasibility and intensity of adsorption. Acidic modification has given a negative impact in softening of water for the used materials. High carbon containing substance in ash form has brilliant adsorption ability. Investigations to find out efficiencies are done by optimizing parameters such as adsorbent dosage, pH and contact time. The performances are assessed by isotherm studies. These studies and experiments are done to suggest a simple setup which rectifies the problems of conventional methods for the removal of hardness.
Preparation of thermally and chemically activated charcoal from coconut shell and adsorption studies for iron removal from drinking water
Authors: Jasna K K , Padmavathy K S , Haseena P V 
Published: April 2021

Abstract
Iron is one of the contaminants that reduces potability of water. As per the Safe Drinking Water Act Secondary Standards, permissible concentration of iron in drinking water is 0.3 ppm. Iron content in the water available in industrial area is too high. Natural cleaning methods can be adopted to reduce iron concentration. Activated charcoal prepared from coconut shell can be effectively used as an adsorbent for the removal of iron from drinking water. This project aims on the preparation of thermally and chemically activated charcoal from coconut shell and its characterization. This work also focused on the adsorption studies using the prepared charcoal by varying parameters such as adsorbent dosage, initial concentration and shaking time. Langmuir and Freundlich isotherms, as well as pseudo first order and pseudo second order has been studied. Adsorption data is well fitted with Freundlich isotherm and pseudo second order kinetics.
Assessment of river water quality indices based on various fuzzy models and arithmetic indexing method
Authors: Divya A H , Soloman P A 
Published: April 2021

AbstractRiver water is a major source of natural freshwater for both rural and urban areas. The severe threat in the form of pollutants is the major cause of deterioration of surface water quality. Water Quality Index (WQI) is a single measure of overall water quality in a specific location with a special emphasis on the time-based readings of water quality parameters. WQI can be used as a good tool to assess the intensity of water pollution. In this study, two water quality index models using fuzzy logic in MATLAB R2015a by trapezoidal and sigmoid membership functions are proposed. Fuzzy water quality index models were developed for various seasons, using eight experimentally estimated water quality parameters, such as Temperature (T), Chlorides (Cal−), Nitrates (NO3−), Sulphates (SO4−), Total Coli forms (TC), Total Dissolved Solids(TDS), Electrical conductivity (EC) and Total Hardness (TH) of the water samples at 8 locations stretching55 km of Chalakudy River from January 2018 to December 2018. The models are validated by comparing with the WQI values obtained by the application of arithmetic index method (AIM) based on Indian Standards, by finding the absolute average relative error (AARE) and root mean square error (RMSE). The fuzzy logic model using trapezoidal membership function (FTWQI) was found to be more reliable with the least error (AARE 0.0214 and RMSE 0.318) compared with the fFuzzy sigmoid water quality index (FSWQI) (AARE 0.573 and RMSE 0.86). The models enable the easy prediction of the risk of water consumption.
Simulation of Methoxy methyl heptane (MMH) production using unisim design R460.1
Authors: Aneesha M S , Manilal A M 
Published: April 2021

Abstract
Various fuel additives are employed till now like ethanol, ethyl tertiary butyl ether (ETBE), MTBE, Di Isopropyl alcohol (DIPA) etc. after the phase-out of lead-based compounds to enhance the octane number of fuel. MMH is suggested as an alternative to methyl tertiary butyl ether (MTBE) and similar ethers since they causes groundwater contamination. The liquid phase reversible reaction of methanol (MHOH) with 2-methyl1-heptene (MH) produces MMH. But there is an undesirable reaction also to form Dimethyl ether (DME) and 2-methyl-2-heptanol (MHOH). The process of MMH production is simulated using Unisim Design software R460.1. Conventionally, MMH is produced through a reactor and three distillation column sequences for yielding high purity MMH. This reactor-column sequence requires either high MH recycle or large-sized reactor to have the desired yield. Both results in large capital and operating costs. A reactive distillation concept can tackle these constraints with reactor and distillation in a single column known as reactive distillation column (RDC).The feasibility of RDC and analysis of the process can be observed using Unisim Design software since pilot plants are costly for this type of RD process. The simulation of the process using different test bed Unisim R460.1 is not explored yet.
Dynamic simulation of manufacture of styrene by the catalytic dehydrogenation of ethyl benzene
Authors: Bose Kishore , Soloman P A 
Published: April 2021

Abstract
Styrene is an important chemical compound derived from benzene. It is produced conventionally by the catalytic dehydrogenation of ethylbenzene in the presence of iron oxide catalyst. The reaction is reversible endothermic and is carried out in a series of adiabatic packed bed reactors. The present study deals with the dynamic simulation of the process of styrene manufacture using the Honeywell UniSim design suite. The control parameters of various controllers in the process have been derived using the auto-tune feature of the software. Various scenarios of servo problems were studied. The dynamic behaviour of the process parameters during various scenarios in the operating chemical plant is also studied. The results are very much useful for conducting the hazard analysis of the plant and thereby designing the trip systems of the plant.
Reliability analysis and condition monitoring of polymer based dye sensitized solar cell: a DOE approach
Authors: Abrol Shivani Arora , Bhargava Cherry , Sharma Pardeep Kumar 
Published: April 2021

Abstract
Organic Photo Voltaic cells such as dye sensitized solar cells (DSSC) are bringing about a revolution in the sustainable field. Better economic feasibility and decent efficiencies make it more eminent amongst the available products in the market. Reliability of these cells becomes an area of concern as environmental and electrical energy parameters wobble dynamically. The research article focuses on new techniques for observing the lifetime of a DSSC experiencing the impact of warning parameters like light source temperature, frequency, humidity and thermal stresses on working factors of DSSC such as Fill Factor, voltage, current and Efficiency. Optimization of prediction of failure for lifetime of the cell is done by Design of Experiment (DOE) methodology based on Taguchi’s model using Minitab 18.1 software. The health condition of fabricated dye sensitized solar cells (DSSC) is monitored using Accelerated life testing as well as analytical method. Analysis shows that the mean lifetime of the fabricated dye sensitized solar cells (DSSC) using the experimental method and analytical method is 18 488.67 h and 22 167.05 h respectively. The error analysis shows that the analytical method has 3.63% error, which confirms its accuracy as 96.37%.
Properties prediction and design of self-healing epoxy resin combining molecular dynamics simulation and back propagation neural network
Authors: Luo Hao , Jin Kai , Tao Jie , Wang Hao 
Published: April 2021

Abstract
It is difficult to synergistically improve the self-healing and mechanical properties of self-healing epoxy resin system based on Diels-Alder (DA) reversible covalent bond due to its different compositions. In this study, a method combining molecular dynamics (MD) simulation and back propagation (BP) neural network was employed to achieve a balance between self-healing property and mechanical property. In addition, self-healing and mechanical properties were predicted and the influence of different compositions of the system on these properties was investigated by the BP neural network. It was found that the DA bond formed by the furan group of furfuryl glycidyl ether (FGE) and the maleimide group of bismaleimide (BMI) was of great importance for self-healing property, and that diglycidyl ether of bisphenol-A (DGEBA) with a mass fraction of 25%–48% could improve the tensile property of the system. Finally, a self-healing epoxy resin system with superior comprehensive properties was designed through the proposed method under four indexes of Young’s modulus (E), self-healing efficiency (

η

), Ultimate Tensile Strength (UTS), and glass transition temperature (Tg).
Possible negative correlation between electrical and thermal conductivity in p-doped WSe2 single crystal
Authors: Kumari Neha , Kalyan Mansi , Ghosh SuryaKanta , Maity Amit Ranjan , Mukherjee Rupam 
Published: April 2021

Abstract
The materials with high electrical conductivity σ and low thermal conductivity κ are the driving force for an efficient thermoelectric device. In general, electrical and thermal conductivity cannot be controlled independently as both electron and phonon participate in transport processes. Two dimensional layered materials are one such kind where van der Waals inter-layer interaction and covalent intra-layer bond favours strong phonon mediated electronic interaction. Here, we report that the substitutional p-type doping of WSe2 demonstrate negative correlation between σ and κ at wide temperature range from 5–300 K. Nominal 0.5% Nb doping of WSe2 (WSe2:Nb) increases the electrical conductivity by an order of magnitude and suppresses the thermal conductivity by the same magnitude. The formation of impurity band at close proximity (0.2 meV) of valance band display large delocalized carrier density and temperature independent mobility as compared to the undoped sample. Simultaneously, the strong delocalization of degenerate band impurity is also found to lower the thermal conductivity to 6 W m−1 K−1 at 300 K.
Synthesis of bulk nanostructured Mg-based alloy via spark plasma sintering through in situ crystallization of an amorphous precursor
Authors: Kim Song-Yi , Kim Hyeon-Ah , Lee A-Young , Kim Do-Hyang , Lim Hyunkyu , Lee Min-Ha 
Published: April 2021

Abstract
We present the synthesis of a bulk nanostructured Mg-based alloy that has a grain size less than 300 nm. A nanostructured Mg-Zn-Cu-Nd alloy with an exceptionally high hardness can be obtained through simultaneous consolidation and in situ crystallization of the amorphous Mg84Zn7Cu3Nd6 alloy precursor using the spark plasma sintering process. We evaluate the relationship between the microstructure and preparation conditions on the grain size of nanostructured Mg-based alloys during the sintering process. The hardness of the bulk sample produced from the sintered amorphous Mg-Zn-Cu-Nd precursor at 260 °C is maximized via the nanocrystallization of intermetallic compounds using the sintering process. The populated crystallization and confined growth of phases contribute to the refinement of gains in nanostructured Mg-based alloys.
Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM® system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
Authors: Tegaw Eyachew Misganew , Geraily Ghazale , Etesami Seyed Mohsen , Ghanbari Hossein , Gholami Somayeh , Shojaei Mehdi , Farzin Mostafa , Tadesse Getu Ferenji 
Published: April 2021

Abstract
Using the 50 kV INTRABEAM® IORT system after breast-conserving surgery: tumor recurrence and organs at risk (OARs), such as the lung and heart, long-term complications remain the challenging problems for breast cancer patients. So, the objective of this study was to address these two problems with the help of high atomic number nanoparticles (NPs). A Monte Carlo (MC) Simulation type EGSnrc C++ class library (egspp) with its Easy particle propagation (Epp) user code was used. The simulation was validated against the measured depth dose data found in our previous study (Tegaw, et al 2020 Dosimetric characteristics of the INTRABEAM ® system with spherical applicators in the presence of air gaps and tissue heterogeneities, Radiat. Environ. Biophys. (10.1007/s00411-020-00835-0)) using the gamma index and passed 2%/2 mm acceptance criteria in the gamma analysis. Gold (Au) NPs were selected after comparing Dose Enhancement Ratios (DERs) of bismuth (Bi), Au, and platinum (Pt) NPs which were calculated from the simulated results. As a result, 0.02, 0.2, 2, 10, and 20 mg-Au/g-breast tissue were used throughout this study. These particles were not distributed in discrete but in a uniform concentration. For 20 mg-Au/g-breast tissue, the DERs were 3.6, 0.420, and 0.323 for breast tissue, lung, heart, respectively, using the 1.5 cm-diameter applicator (AP) and 3.61, 0.428, and 0.335 forbreast tissue, lung, and heart using the 5 cm-diameter applicator, respectively. DER increased with the decrease in the depth of tissues and increase in the effective atomic number (Zeff) and concentration of Au NPs, however, there was no significant change as AP sizes increased. Therefore, Au NPs showed dual advantages such as dose enhancement within the tumor bed and reduction in the OARs (heart and lung).
Dose-area product ratio in external small-beam radiotherapy: beam shape, size and energy dependencies in clinical photon beams
Authors: Niemelä Jarkko , Partanen Mari , Ojala Jarkko , Kapanen Mika , Keyriläinen Jani 
Published: April 2021

Abstract
In small-field radiotherapy (RT), a significant challenge is to define the amount of radiation dose absorbed in the patient where the quality of the beam has to be measured with high accuracy. The properties of a proposed new beam quality specifier, namely the dose-area-product ratio at 20 and 10 cm depths in water or DAPR20,10, were studied to yield more information on its feasibility over the conventional quality specifier tissue-phantom ratio or TPR20,10. The DAPR20,10 may be measured with a large-area ionization chamber (LAC) instead of small volume chambers or semi-conductors where detector, beam and water phantom positioning and beam perturbations introduce uncertainties. The effects of beam shape, size and energy on the DAPR20,10 were studied and it was shown that the DAPR20,10 increases with increasing beam energy similarly to TPR20,10 but in contrast exhibits a small beam size and shape dependence. The beam profile outside the beam limiting devices has been shown to have a large contribution to the DAPR20,10. There is potential in large area chambers to be used in DAPR measurement and its use in dosimetry of small-beam RT for beam quality measurements.