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Artificial neural network (ANNs) and mathematical modelling of hydration of green chickpea

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Information Processing in Agriculture 2021年第1期8卷 75-86页

作者： Yogesh Kumar Lochan Singh Vijay Singh Sharanagat Ayon Tarafdar department of Food Engineering National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia department of Agriculture and Environmental Sciences National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia

The present study was aimed to model the hydration characteristics of green chickpea(GC)using mathematical modelling and examine predictive ability of artificial neural network(ANN)*** of GC was performed at different temperatures 25,35,45,55 and 65℃.Different mathematical models were tested for the hydration at different *** ANN modelling,the hydration time and hydration temperature were used as input variables and moisture ratio,moisture content and hydration ratio were taken as output *** model best described the hydration behavior at 25℃;while hydration at high-temperature was better described by Page model and Ibarz et *** optimum temperature obtained for hydration was 35℃.Effective mass diffusion coefficient(D_(e))increased from 1.5510^(-11)-1.7910^(-9) m^(2)/s with the increase in the hydration *** low activation energy(39.66 kJ/moL)shows the low-temperature sensitiveness of *** temperature hydration(25℃)required higher time(>200 min)to achieve the equilibrium moisture content(EMC),however high temperature hydration(35–65℃)reduced the EMC time(150 min).ANN was used to predict the hydration behavior and K fold cross validation was performed to check the over fitting of ANN *** show that the LOGSIGMOID transfer function showed better performance when used at the hidden layer input node in conjunction to both PURELIN and *** was found suitable for moisture ratio(MR)and hydration ratio(HR)prediction,as opposed to PURELIN for moisture content(MC)*** model prediction was obtained when the number of neurons in the hidden layer for MC,MR and HR was 12,8 and 15,*** and ANN modelling results are useful to improve/predict the MC,MR and HR during hydration process of GC at different temperature and other similar process.

关键词： Green chickpea Water absorption Hydration temperature ANN modeling

Effect of high shear homogenization on quality characteristics of bael fruit pulp

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Food Quality and Safety 2022年第1期6卷 81-92页

作者： Meenatai G.Kamble Anurag Singh Pramod Kumar Prabhakar Murlidhar Meghwal Sukh Veer Singh Ajay V.Chinchkar department of Food Science and Technology National Institute of Food Technology Entrepreneurship and Management(NIFTEM)SonipatHaryana-131028India

Response surface methodology was used to investigate the influence of high shear homogenization speed(A:3000-12000 r/min)and processing time(B:30-120 min)on bael fruit pulp quality *** experimental results were best fitted in the suggested quadratic model to delineate and envision the responses in terms of color(values of L^(*),meaning brightness to blackness,1oo-0;a^(*),meaning green-a^(*)to red+a^(*);and b^(*),meaning blue-b^(*)to yellow+b),total soluble solids,ascorbic acid,viscosity,andβ-carotene content with the highest coefficients of determination(R2)ranging from 0.80 to ***(P<0.05)change in the L^(*)value,total soluble solids,ascorbic acid,andβ-carotene content was found with change in homogenization *** interaction effect of homogenization showed a significant difference in a^(*)value and total soluble solid content of the *** best homogenization conditions were determined via multiple response optimization as 10682 r/min speed and 43.18 min process *** quality parameters of the pulp at optimized conditions were observed as L^(*)15.35,a^(*)4.51,b^(*)10.25,ascorbic acid 18.64 mg/100 g,viscosity 5349 cP,andβ-carotene 4.14μg/100 *** addition,total phenolic content,flavonoid content,and antioxidant content of homogenized bael fruit pulp was found to significantly(P<0.05)increase from(83.76±1.24)to(119.21±1.35)mg gallic acid equivalent(GAE)/100 mL,(147.39±0.69)to(156.10±1.11)mg quercetin equivalent(QE)/100 mL,and(41.77%±0.60%)to(66.53%±0.41%),***,this strategy could be used in fruit processing industries to process highly fibrous fruits and nonuniform-textured fruit pulptoavoid sedimentation whileretaining functionality.

关键词： Aegle marmelos L. underutilized fruit viscosity bioactive compounds color values

Fabrication of cellulose acetate membrane for monitoring freshness of minimally processed pomegranate(Punica granatum)arils

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Food Bioscience 2022年第5期49卷 1225-1229页

作者： N.D.Komali P.S.Gaikwad B.K.Yadav department of Food Packaging and System Development National Institute of Food TechnologyEntrepreneurship and ManagementThanjavurIndia Liaison Office National Institute of Food TechnologyEntrepreneurship and ManagementThanjavurBathindaIndia

This study examined the freshness of minimally processed pomegranate arils(MPPAs)under refrigeration conditions(5±1◦C)stored in a polypropylene(PP)container sealed with PP nanocomposite multi-layered film(PP-NMF).The freshness indicator was fabricated using cellulose acetate coated with a combination of colorimetric pH dyes,which included bromocresol green(BCG),bromothymol blue(BTB)and methyl red(MR)in a ratio of 6:9:*** fabricated indicator labels were attached inside the package headspace and observed an increase in CO_(2)(0.1±0.01 to 0.9±0.03%v/v)and a decrease in O_(2)(19.6±0.01 to 18.8±0.03%v/v)during storage(0-18 days).Color change of indicator labels was mainly caused by headspace concentrations that changed from dark to colorless for fresh and spoiled pomegranate *** PP-NMF used in MPPAs has high barrier properties,extending its shelf life in the refrigerator to over 15 *** pomegranate arils stored for different periods of time showed significant changes in their physicochemical *** storage days,aerobic mesophilic bacteria(AMB)and yeast and mold count(YMC)increased to 4.90±0.20 and 4.50±0.20 log CFU g􀀀*** indicator developed for monitoring pomegranate arils stored in the refrigerator can detect freshness efficiently.

关键词： Minimal process Pomegranate arils Polypropylene nanocomposite multi-layered film Freshness indicator Cellulose acetate

Modeling multi-generational diffusion for competitive brands:an analysis for telecommunication industries

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Journal of Management Analytics 2021年第4期8卷 715-740页

作者： Gunjan Bansal Adarsh Anand Deepti Aggrawal department of Operational University of DelhiDelhiIndia University School of Management and entrepreneurship Delhi Technological UniversityDelhiIndia

Manufacturers keep bringing necessary rectifications in the products to achieve constant market penetration and high customer *** present paper proposes a modeling framework wherein the impact of customer satisfaction with the first generation of a product is measured and its significant role has been incorporated in the adoption of a subsequent generation of the *** model also integrates the influence of competition which is classified under two categories such that:-(a)competition within successive generations of the brand;and(b)competition among different ***,model validation is performed using telecommunication industry sales data and sales are forecasted in two different ways *** secondary data(a formal way)and primary data;where a survey of first-generation consumers is carried out and the concept of brand switching analysis and logistic regression have applied to analyze the market switching behavior and the satisfaction measure in the proposed models.

关键词： OR in marketing brand switching analysis diffusion modeling industrial marketing logistic regression

Beat the plastic:an approach to polyethylene terephthalate(PET)bottle waste management in Nigeria

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Waste Disposal and Sustainable Energy 2020年第4期2卷 313-320页

作者： Nkonyeasua Kingsley Egun Osagie Jude Evbayiro department of Animal and Environmental Biology University of BeninBenin CityEdo StateNigeria department of entrepreneurship University of BeninBenin CityEdo StateNigeria

Rapid economic growth and production patterns have increased plastic consumption,plastic waste generation,and environmental pollution burden on both land and water habitats across the *** use of PET(polyethylene terephthalate)bottles in packaging has increased tremendously and accounts for a significant proportion of the plastic waste generated in Nigeria,along with its environment and economic *** sustainable development goals of sustainable cities and communities,responsible consumption and production,ensure access to safe water and sanitation has necessitated the need for an efficient PET bottle waste management *** study analyzed the PET bottle system in Nigeria and proposes an integrated PET bottle model/system for sustainable waste management,resource conservation,improved environmental sanitation,and economic development in ***,the need for the adoption of a holistic and indigenous approach in the formulation of the national policy on plastic waste management is emphasized,as it will encourage the citizens’participation and financial investments in waste management.

关键词： PET bottle Plastic waste Recycling model Waste management Environment

Influence of organization learning on innovation output in manufacturing firms in Kenya

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International Journal of Innovation Studies 2020年第1期4卷 16-26页

作者： Isaac Muiruri Gachanja Stephen Irura Nga'nga' Lucy Maina Kiganane department of entrepreneurship Karatina UniversityP.O.Box 1957e10101KaratinaKenya department of entrepreneurship and Economics The Cooperative University of KenyaP.O.Box 24814e0052Karen-NairobiKenya

Knowledge entrepreneurship is increasingly becoming important in driving innovation for high levels of *** purpose of this study was to investigate the relationship between Organization Learning(OL)and Innovation Output(IO)for improved performance in manufacturing firms in *** theoretical underpinnings on this study are the Schumpeter’s(1934)innovation theory of and the Gleick(1987)complexity *** methodology used was mixed method research because it provides a more holistic understanding of a thematic *** research design that was used is cross-sectional design because it allows for making observations on different characteristics that exist within a group at a particular *** target population was manufacturing firms across the ***-stage sampling strategy was used to sample 303 respondents from 101 *** and secondary data were used to collect both qualitative and quantitative *** questionnaire,interview schedule and a checklist of key informants were used to collect *** validity was used to ascertain the credibility of the research procedure and internal consistency technique was used to test for *** and linear regression were used to determine the relationship between OL and *** disruptions were avoided by making prior arrangements and *** findings indicate that OL has a significant influence on *** is recommended that lifelong learning,management support and risk tolerance should be encouraged to improve *** creativity is important in raising the capacity to integrate internal and external knowledge for greater levels of *** research should be carried out to find how customers and suppliers information can be utilized to enriched OL.

关键词： Organization learning Innovation output Competitiveness Lifelong learning Risk tolerance

Production of functional spent hen protein hydrolysate powder and its fortification in food supplements: A waste to health strategy

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Food Bioscience 2022年第6期50卷 2015-2022页

作者： Deepak Kumar Ayon Tarafdar Yogesh Kumar Sneh Lata Dass Sunil Pareek Prarabdh C.Badgujar department of Food Science and Technology National Institute of Food Technology Entrepreneurship and ManagementKundliSonipat131028HaryanaIndia Livestock Production and Management Section ICAR-Indian Veterinary Research InstituteIzatnagar–Bareilly2431 22Uttar PradeshIndia School of Basic Sciences&Research Department of Life SciencesSharda UniversityGreater NoidaUttar Pradesh201306India department of Agriculture and Environmental Sciences National Institute of Food Technology Entrepreneurship and ManagementKundliSonipat131028HaryanaIndia department of Food Engineering National Institute of Food Technology Entrepreneurship and ManagementKundliSonipat131028Haryana

Spent hens are discarded from the poultry industry as they lose their ability to lay eggs and are rendered unsuitable for consumption due to poor meat quality. This work provides a strategy to utilize spent hen meat by developing protein hydrolysates with enhanced antioxidative properties for developing functional protein supplement which was previously unexplored. Spent hen meat was hydrolysed using two proteases (alcalase and flavourzyme) followed by drying (spray and freeze drying). Hydrolysate powders thus generated were further characterized for their physico-chemical and functional attributes. Particle size and morphology were more prominently affected by drying method while the functional properties were influenced by the enzyme type. The solubility, antioxidant activity and bioaccessibility of spray dried spent hen hydrolysate powder developed using flavourzyme (SD-SPHF) was found superior to those developed using alcalase. Hydrophobic amino acids with rich antioxidant activity were also found to be higher in SD-SPHF. Considering higher functionality of SD-SPHF, it was incorporated @10% in whey protein supplement and was found to be acceptable from a sensory viewpoint. The study highlights that spent hen protein hydrolysate powders can be effectively utilized for the development of economic functional food supplements after suitable biotechnological interventions.

关键词： Antioxidative activity Drying Fortification Bioacessibility Amino acid profiling Protein supplements

The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications:Application of novel machine learning technique

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Journal of Energy Chemistry 2023年第7期82卷 359-374,I0009页

作者： Praveen Kumar Kanti Prabhakar Sharma K.V.Sharma M.P.Maiya department of Mechanical Engineering Indian Institute of Technology MadrasChennai 600036India department of Mechanical Engineering Delhi Skill and Entrepreneurship UniversityDelhi 110089India Center for Energy Studies Department of Mechanical EngineeringJNTUH College of EngineeringKukatpallyHyderabad 500085Telangan1India

This paper investigates the effects of pH on stability and thermal properties of copper oxide(CuO),graphene oxide(GO),and their hybrid nanofluid(HNF)at different mixing ***,sol-gel and Hummer’s method was employed for the synthesis of CuO and GO nanoparticles(NPs),and they are characterized with various *** effects of two different surfactants were analyzed on nanofluid’s(NF’s)stability at different pH *** properties like thermal conductivity(TC)and viscosity(VST)of NFs were measured at different volume concentration(0.1 vol%to 1.0 vol%)and temperature range of 30-60℃,*** TC and VST of GO/CuO(50:50)HNF are higher than that of GO/CuO(20:80).The figure of merit(FOM)is determined for the studied *** correlations were presented to calculate the TC as well as VST of *** modern novel machine learning-based ensemble approaches were employed for predictive model development for TC and VST of considered *** comparison of prognostic models with Taylor’s diagram revealed that Bayesian optimized support vector machine(BoASVM)was superior to Bayesian optimized boosted regression trees(BoA-BRT)for both TC and VST models.

关键词： CuO Figure of merit Graphene oxide Machine learning pH Stability

Handling class imbalance problem in software maintainability prediction:an empirical investigation

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Frontiers of Computer Science 2022年第4期16卷 5-18页

作者： Ruchika Malhotra Kusum Lata Discipline of Software Engineering Department of Computer Science&EngineeringDelhi Technological UniversityDelhi110042India University School of Management and entrepreneurship East Delhi CampusDelhi Technological UniversityDelhi110095India

As the complexity of software systems is increasing;software maintenance is becoming a challenge for software *** prediction of classes that require high maintainability effort is of utmost necessity to develop cost-effective and high-quality *** research of software engineering predictive modeling,various software maintainability prediction(SMP)models are evolved to forecast *** develop a maintainability prediction model,software practitioners may come across situations in which classes or modules requiring high maintainability effort are far less than those requiring low maintainability *** condition gives rise to a class imbalance problem(CIP).In this situation,the minority classes’prediction,i.e.,the classes demanding high maintainability effort,is a ***,in this direction,this study investigates three techniques for handling the CIP on ten open-source software to predict software *** empirical investigation supports the use of resampling with replacement technique(RR)for treating CIP and develop useful models for SMP.

关键词： sofiware maintenance software maintainability imbalanced learning