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Foreign exchange rate forecasting using Levenberg-Marquardt learning algorithm
Background/Objectives: Foreign currency Exchange (FOREX) plays a vital role for currency trading in the international market. Accurate prediction of foreign currency exchange rate is a challenging task. The paper investigates the FOREX prediction using feed forward neural network. Methods/Statistical analysis: This paper employs artificial neural network to forecast foreign currency exchange rate in India during 2010-2015.The exchange rates considered between Indian Rupee and four major currencies Euro, Japanese Yen, Pound Sterling and US Dollar. The network developed consists of an input layer, hidden layer and output layer. The neural network was trained with Levenberg-Marquardt (LM) learning algorithm. Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Forecasting Error (FE) are used as indicators for the performance of the networks. Findings: Simulation results are presented to show the performance of the proposed system. The paper also aims to suggest about network topology that must be chosen in order to fit time series kind of complicated data to a neural network model. The proposed technique gives the evidence that there is possibility of extracting information hidden in the foreign exchange rate and predicting into the future. Applications/Improvements: Finally, this paper presents the best network topology for FOREX prediction by comparing the effectiveness of various hidden layer performance algorithm using MATLAB neural network software as a tool. -
Foreign Exchange, Gold, and Real Estate Markets in India: An Analysis of Return Volatility and Transmission
This empirical analysis endeavored to investigate the return volatility, covolatility, and the spillover impact of gold, real estate, and U.S. dollar in India. The generalized autoregressive conditional heteroskedasticity dynamic conditional correlation (GARCH -DCC) was used to reveal the return volatility and conditional correlation. The volatility spillover was examined by using the variance decomposition technique. The empirical outcome clearly revealed the presence of ARCH and GARCH effect on gold, realty, and U.S. dollar. Additionally, the results also manifested that the returns of these variables were not moving away from their means in the long run. On the other hand, the consequences of volatility spillover reported that real estate was the most dominating among all markets. This is so because returns on real estate had a significant contribution to the return volatility of the other markets. Finally, it was also found that return volatility of U.S. dollar was most affected as it was the net receiver of volatility, while return volatility of gold seemed to be neutral in the Indian financial market. -
Forensic applications of graphene oxide
Forensic analysis is an enormous field comprising the detection of various types of samples. The objective of forensic evidence examination is to provide a cohesive, transparent, and unbiased judgment of the evidence's significance to the investigators. Graphene oxide (GO) is an abundant substance that comprises carbon, hydrogen, and oxygen in a single layer making it highly economical. Therefore, the utilization of GO is highly considered for achieving the detection and analysis of various substrates. This can be justified by its facile and economical preparation that contributes to improving its significance and applicability. Forensic samples include trace elements that can be pre-concentrated with the help of a sustainable medium provided by GO. This book chapter aims to provide exciting insights into the synthesis, properties, and applications of GO in the detection of various forensic samples of GO. 2024 -
Forensic Investigation Approaches of DNA Analysis and Criminal Investigation
Deoxyribonucleic acid (DNA) has been a significant factor in the criminal justice system since it was first used in forensic investigations. The reference sample's DNA profile is typically compared to the DNA profile from the evidence sample from the crime scene criminal cases. Familial DNA analysis can identify a person and provide significant investigation leads even without a reference sample for comparison in a criminal investigation process. The potential source of a forensic biological sample is determined using several indirect database searching techniques. These DNA-based techniques include Mitochondrial DNA (mtDNA) analysis, investigative genetic genealogy (IGG), familial searching, and Y-STR database searching. This study examined these methods and compares them in terms of searching efficiency, database structures, searching methods, genotyping technologies, data security, data quality, and costs. It also raises several possible legal and privacy problems for scientists to consider further. The significance of familial DNA analysis, the procedures used for finding and identifying relatives using familial DNA, and its benefits in forensics are all covered in this paper. Additionally, future options for the appropriate application of this technology and social, legal, and ethical concerns related to familial DNA analysis have been considered. 2023 WITPress. All rights reserved. -
Forgiving Behavior among Emerging Adults: The Influence of Religiosity and Spirituality and Personality Traits
The present study aims to examine the three important aspects of emerging adulthood, religiosity and spirituality, personality traits, and forgiveness which bring well-being benefits. It is hypothesized that religiosity and spirituality along with personality traits predict forgiveness among emerging adults. The Neo Five-Factor Inventory (NEO FFI), the Religiosity and Spirituality Scale for Youth (RaSSY), and the Heartland Forgiveness Scale (HFS) were administered to 364 female and 390 male emerging adults (n = 754; mean age = 21 years, SD = 14.88) selected through purposive sampling technique from colleges in Bangalore. Data were analyzed using correlational and hierarchical regression analysis. This study found that religiosity and spirituality and the Big Five personality traits positively correlated with forgiveness whereas all personality traits, except neuroticism, strongly predicted forgiveness more than religiosity and spirituality. These findings suggest that faith-based coping and religious social support in combination with personality traits help emerging adults practice forgiveness in their daily life, leading to further insight into the theories of forgiveness and well-being. 2023 Taylor & Francis Group, LLC. -
Formal banks, semi-formal SHGs or informal moneylenders, who is better? a study of borrower credit preference in India
The present study explores the factors driving borrowers preference for formal banks, self-help groups (SHGs) and moneylenders. The study is based on a systematic survey of 839 rural borrowers from southern India, sampled from four districts with varied levels of credit access (surplus, constrained and moderate credit). The data was analysed using multinomial logistic regression in SPSS. Results show how banks and moneylenders exclude borrowers based on relative wealth and gender. SHGs service women borrowers but are preferred more by wealthier borrowers, highlighting intragroup inequalities. Yet, the three lenders service a variety of purposes, justifying their demand in the market. The study enhances understanding of rural borrowers constraints concerning various credit sources. The implications of this study are as follows: one is identifying the lacunae in the formal banking system, which policy amendments could address. Two, the study recommends an investigation of intragroup inequalities within SHGs. Third, the study underscores the demand for multiple players in the rural credit markets and their contribution to the borrowers credit needs. (2024), (Indian Academy of Sciences). All rights reserved. -
Formant frequency estimation of artificial larynx transducer speech using recurrent neural network
Human Beings communicate with each other by speaking. The speech as a signal has 2 components voiced and unvoiced speech. Voiced speech is produced by the excitation produced at glottis and unvoiced is produced by noise created at the mouth. The voiced components that is produced at glottis passes through the vocal tract and then reach the mouth. The nature of the speech is determined mostly at the vocal tract. But for some reason for some people the speech produced is not proper because of the organ problems or motor disorder issue. In these cases, the speech produced is called disordered speech and termed with the names like stammering, apraxia, dysar-theria and so on. In some case, the larynx is removed from human body because of cancer or other issues. For them, Artificial Larynx Transducer (ALT) is given to produce substitution voice. This paper aims at formant frequency estimation of the speech produced with the help of ALT using Recurrent Neural Network (RNN) method. The speech produced with the help of ALT will lack in naturalness and intelligibility. The direct noise coming from ALT device is called DREL noise. This also creates irritability to the listener. So in this paper, a method is proposed for the DREL noise removal and formant frequency estimation of the ALT speech. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Formation of Positive Organizational Climate: Integration of Ubuntu Diversity Management in Banks
A positive organizational climate requires incorporating the notion of Ubuntu into workforce diversity management. Ubuntu in the banking business is essential for improved workforce diversity management and a better workplace climate for women. Employees look for a healthy and positive organizational climate in their workplace settings. Nelson Mandela and Mother Teresa are ideal examples of Ubuntu; they lived a life of selflessness and humanity. In todays competitive world, the concept of Ubuntu is not widely accepted in banking. Banks are vying for new customers, market share, and business loans. Bank services include credit card processing, reconciliation and reporting, cheque collection; payroll; and deposit. They do not have time to think about Ubuntu. The banking sectors operations are tedious, causing tension among employees. Stress is lethal in COVID-19. Using various literature reviews, this study shows how stress can be lethal during COVID-19. Globally, the value system of Ubuntu and Gandhian ideologies are abandoned in favour of monetary gain, resulting in a cruel society. Violence against minority discrimination and black oppression still prevails in our society. Suppression and tyranny have always existed, but COVID-19 triples their impact. One solution is to bring forth Ubuntu. Even if it is too late, we can still revive our society. With Africas great diversity, fostering unity is the key to peace and growth. The best way to achieve peace and progress is to employ Ubuntus values. One continent, one philosophy could be a way out for Africa, but it would necessitate contributions from all African leaders. 2022. Journal of International Womens Studies. -
Formulation and Characterization of Plant, Animal, and Probiotic Based Fish Meals and Evaluating their Efficacy on Growth and Performance in zebrafish (Danio rerio)
A comparative analysis on the effects of plant based (PD), animal based (AD) and probiotic based (PrD) diets on growth performance in Danio rerio was investigated. Different diets were administered as either single or combination diet (CD) containing PD, AD and PrD exhibited varying effects on growth and development. The probiotic bacteria isolated from Indian prawn (Penaeus indicus) was identified as Bacillus sp using 16s rRNA sequencing and phylogenetic analysis. The isolate was characterized by evaluating its ability to survive at different pH, temperature and simulated artificial gastric environment and was further subjected to varying concentrations of salt and organic solvents. Antibiofilm activity of the isolate was evaluated against fish pathogens; Vibrio harveyi (96.12.7%), Escherichia coli (96.21.5 %,), Pseudomonas aeruginosa (95.33.0%) and Staphylococcus aureus (96.72.8%). After the end of trail period, growth parameters were evaluated. Weight gain percentage was significantly higher in PrD (15.70.08 %) compared to other treatments. (p<0.05). Feed conversion ratio was least in CD (0.350.09) and feed efficiency (2.70.08) in CD was numerically high compared to other treatments. (p>0.05).The study promotes sustainable aquaculture by the use of alternative aqua feeds derived from plant or animal based sources. The study also highlights the usage of probiotics in improving growth performance, disease resistance in aquatic animals. 2021. Paari et al. -
Formulation of Nickel OxideGraphene Composite Ink and the Fabrication of Thin-Film Electrodes Using Direct Ink Writing
Nickel oxide (NiO) is a p-type material with a wide bandgap of 3.6 to 4eV, and graphene is a zero-bandgap material. When the two materials are combined to form a composite, their structural, optical, and electrical properties are enhanced. This work presents the formulation of nickel oxide (NiO)graphene composite ink (with ethylene glycol as a solvent) for the fabrication of thin-film electrodes using a direct ink writing technique. NiO is used in nanopowder form, which is prepared via a wet-chemical approach. NiO ink is prepared in three different concentrations of 40mg/ml (N1), 60mg/ml (N2), and 70mg/ml (N3). Graphene ink (G) is also prepared in concentrations of 0.5mg/ml (G1), 1mg/ml (G2), and 2mg/ml (G3). Among the pure NiO inks, it was observed that low resistance and uniform printing were obtained for N2. Therefore, N2 is mixed with different concentrations of graphene to form the composite ink, which is further printed on the substrates. The rheological properties of all the formulated inks are measured. An extrusion-based direct-write system is employed for printing the inks on a glass substrate. The printed samples are characterized before and after annealing at 250C for 2h. The resistance of the composite ink (N2G1) is decreased by 53% in comparison with the pure NiO ink (N2). As the conductivity of the composite ink thin film is in the range of M?, they could find application in the field of gas sensing and thermistors. The Minerals, Metals & Materials Society 2024. -
Fossil fuel derived GQD as a photosensitizer in dye-sensitized solar cells
Solar energy is an abundantly available renewable source, and several generations of photovoltaic cells have been developed for harnessing it. Dye-sensitized solar cells (DSSC) are viable and potent solar energy harvesters. Sensitizer, a vital part of DSSC, has been researched for years. Alternatively, fossil fuel-Lignite is one of the world's least explored energy sources. Unfortunately, it has been used as a fuel for power generation and tagged as a pollutant. Therefore, in this study, we use lignite-derived graphene quantum dots (GQD) as a DSSC sensitizer and attempt to add value. GQDs with varied bandgaps were obtained and used as sensitizers, and a maximum PCE of 2.87 % was obtained. Additionally, GQD sensitizers were exposed to UV light for 48 h, and the fabricated device exhibited 2.90 % efficiency, showing the photostability of GQDs. Furthermore, the device showed a higher Rrec of 166.57 ?, substantiating the better performance of DSSC. Thus, sensitizers derived from lignite showed a novel use for feedstock previously used for combustion. 2023 Elsevier B.V. -
Fostering Inclusion in Digital Marketplace: Vistas into the Online Shopping Experiences of Consumers with Visual Impairment in India
Online shopping has become increasingly prevalent in recent years, overshadowing traditional brick-and-mortar shopping. Research has tried to understand the online shopping experiences of various consumers. However, the online shopping experiences of consumers with visual impairment (CWV) gained less attention. This study captures the online shopping experiences of CWV by employing a phe-nomenological qualitative approach. Data was collected from CWV through semi-structured interviews. The sample size of this study was fifteen, and data was analyzed using NVivo14. The findings indicate a growing preference for online shopping among the CWV. The results explore the accessibility-related issues encountered by CWV and strategies employed to overcome them. Additionally, the paper underscores the benefits of independence and the impact of online shopping on the personal growth and well-being of CWV. The study provides insights to marketers to foster inclusion in the digital marketplace. This study helps marketers and other stakeholders to understand the online shopping experiences of CWV and ensures consumer well-being and inclusion. Copyright 2024 Greeshma Thadikaran, Sandeep Singh. Published by Vilnius University Press. -
Four Alternative Scenarios of Commons in Space: Prospects and Challenges
The rapid expansion of human activities in outer space is likely to bring new economic, social, and political dilemmas in the next 50 to 100 years. Future governance will have to increasingly juggle earth-space social justice, resource trade-offs, and environmental sustainability issues. This poses new challenges to the governance of global commons, i.e. whether existing studies are fit to address commons in a global context and whether the governance of outer space commons (dis)integrates with Earth-bound sustainability governance. To explore these questions, this study uses scenario-building techniques to generate alternative future scenarios via a workshop conducted during the 2022 Commons in Space conference. We derived four future scenarios based on two major contextual conditions: (i) the degree of equity in resource distribution in space, and (ii) the degree of integration with Earth-bound sustainability, more specifically Earth system governance. The four alternative scenarios are (i) Space Cartel in which the use of space resources becomes dominated by the rich and powerful; (ii) Earth-centric Gold Rush in which the current business as usual continues; (iii) Open Space (also Space Utopia) in which open access of space resources leads to thriving developments in space at the expense of sustainability on Earth; and finally, (iv) Earth-Space Sustainability in which challenges on Earth and in space are addressed through an integrative governance model. Based on the challenges identified from these scenarios, we discuss specific as well as cross-cutting implications for policy and governance to better address commons in space in the future. 2023 The Author(s). -
FOXS HEAD OR LIONS TAIL? WORK LIFE BALANCE OF WOMEN ENTREPRENEURS IN AGRICULTURE AND FARM VENTURES AND ITS ANTECEDENT EFFECT ON QUALITY OF LIFE; [CABE DE RAPOSA OU RABO DE LE? EQUILRIO DA VIDA PROFISSIONAL DAS MULHERES EMPREENDEDORAS NA AGRICULTURA E EMPREENDIMENTOS AGROLAS E SEU EFEITO ANTECEDENTE NA QUALIDADE DE VIDA]; [CABEZA DE ZORRO O COLA DE LE? LA CONCILIACI DE LA VIDA LABORAL Y FAMILIAR DE LAS MUJERES EMPRESARIAS EN LA AGRICULTURA Y LAS EXPLOTACIONES AGROLAS Y SU EFECTO ANTECEDENTE EN LA CALIDAD DE VIDA]
Purpose: The objective of this study was to identify the factors that influence work life balance of women entrepreneurs in the field of agriculture and allied products and how the family demands affect their work-life balance. Further, the paper explores the conflict between parental demand and running a business. Theoretical framework: Literature review points out that despite, an increase in the number of women entrepreneurs over the years, according to the (Global entrepreneurship monitor report, 2020), fewer women pursue entrepreneurship due to various challenges of managing personal and business responsibilities and striking the right balance. Work-life balance is frequently examined in the context of human resource management (Etienne St-Jean and Duhamel M.,2020)but not much has been explored in an entreprenurial context.Hence this study is to investigate and understand the influence of various factors affecting work life balance from an entrepreneurial standpoint. Design/methodology/approach: Triangulation method was used for the study by utilizing both quantitative and qualitative data. The researchers developed a questionnaire to measure work-life balance experienced by women entrepreneurs with 12 independent variables to measure the dependent variable work-life balance.The sample consisted of 450 women agripreneurs Findings: The findings reveal that the age of the children is a major determinant of the extent of parental demand a woman goes through in her life and family support systems are critical in reducing overlap and conflict between the life domains. A positive spillover between the domains significantly enhances quality of life of women entrepreneurs. Research, Practical & Social implications: We suggest a future research into other Personality traits and macro environmental factors which can have a bearing on work life balance of women entrepreneurs which would enable an inclusive entrepreneurial ecosystem. Originality/value: The researchers have concluded that positive spillover between the domains significantly enhances quality of life of women entrepreneurs. 2022 The authors. -
FRA CDS VDAX Based credit crash model: A German conundrum /
International Journal Of Economic Research, Vol.14, Issue 8, pp.221-228, ISSN: 0972-9380. -
FRA-CDS-VDAX based credit crash model: A German conundrum
Often credit crash opens up the glaring research warts in finding credit pits. Robust German credit and interest rate derivative market have been under scrutiny to develop credit crash predictor by effective utilisation of a cobbled methodology encompassing various research tools (such as econometric, mathematical and machine-learning etc.) and the logical trio, namely forward rate agreement (FRA), credit default swap (CDS) and volatility index constructed on CBOE methodology (VDAX). Though setting up VDAX predictor is the first objective, yet the cross-dependence of various derivatives, threshold finding for sudden change (steep) in VDAX and linking the results with real life events remain the secondary objectives. The results point out a clear threshold for detecting credit pit and a prominent behavioural trace as well. Serials Publications Pvt. Ltd. -
Fractional and memory effects on wave reflection in pre-stressed microstructured solids with dual porosity
The present work investigates the influence of fractional-order derivative and memory-dependent derivative on the behavior of various waves reflected at the free surface of a size-dependent, pre-stressed, microstructured thermoelastic solid with a dual porosity framework. A generalized MooreGibsonThomson (MGT) model, incorporating higher-order terms and memory effects, is adopted to describe the complex heat transfer behavior within the material. A nonlocal framework based on Eringen's theory is utilized to derive the basic relations of the considered medium. An examination of the non-dimensionalized governing equations is conducted employing the normal mode technique to provide accurate solutions. The research demonstrates the presence of six separate wave modes that travel at varying speeds within the medium. The energy and amplitude ratios of reflected waves are determined by applying suitable boundary conditions. The influence of varying incidence angles on the reflected wave energy distribution is investigated numerically and visualized using MATLAB software. The study reveals that the energy ratios of the reflected waves are sensitive to the fractional-order parameter, kernel functions, initial stress, and nonlocality parameter. The analysis suggests a conservative reflection process, indicating minimal energy loss during reflection. Key findings and their implications for relevant scenarios are presented in the conclusion. Comparisons with existing models for certain cases demonstrate good agreement, supporting the validity of the present model. 2025 Elsevier Masson SAS -
Fractional approach for a mathematical model of atmospheric dynamics of CO2 gas with an efficient method
In the present work, we find the series solution for the system of fractional differential equations describing the atmospheric dynamics of carbon dioxide (CO2) gas using the q-homotopy analysis transform method (q-HATM). The analyzed model consists of a system of three nonlinear differential equations elucidating the dynamics of human population and forest biomass in the atmosphere to the concentration of CO2 gas. In the current study, we consider Caputo-Fabrizio (CF) fractional operator and the considered scheme is graceful amalgamations of Laplace transform with q-homotopy analysis technique. To present and validate the effectiveness of the hired algorithm, we examined the considered system in terms of fractional order. The existence and uniqueness are demonstrated by using the fixed-point theory. The accomplished consequences illustrate that the considered scheme is highly methodical and very efficient in analyzing the nature of the system of arbitrary order differential equations in daily life. 2021 Elsevier Ltd -
Fractional approach for analysis of the model describing wind-influenced projectile motion
In this paper, we find the solution for coupled equations describing the projectile motion with wind-influence using q-homotopy analysis transform method (q-HATM). The projectedmethod is elegant amalgamations of q-homotopy analysis scheme and Laplace transform, and fractional derivativedefined withCaputo-Fabrizio (CF) operator. Moreover, the physical natures of the obtained results have been captured in terms of plots for diverse mass, external force and fractional order. The achievedconsequences elucidate that, the hiredsolution procedure is easy to implement, highly methodical as well as accurate to analyse the behaviour of system of nonlinear differential equations of both integer and fractional order describing connected areas of science and engineering. 2021 IOP Publishing Ltd. -
Fractional Approach for Belousov-Zhabotinsky Reactions Model with Unified Technique
The Belousov-Zhabotinsky reaction model represents chemical oscillators that exhibit periodic vibrations as a result of complex physic-chemical phenomena. The non-linear behaviour exhibited by Belousov-Zhabotinsky model is the cause of Turing patterns, birth of spiral waves, rise of limit cycle attractors, and deterministic chaos in many chemical reaction processes. Due to these noteworthy characteristics, in this paper, we have analyzed mathematical Belousov-Zhabotinsky model by a novel numerical approach q-Homotopy analysis transformation method. To interpret new observations, we have incorporated Caputo fractional derivative in the model. The numerical result are presented graphically and concerning the absolute error of solutions. With the help of the homotopy parameter curve, we have projected the convergence region with reference to diverse values of fractional derivative. This work establishes that the projected numerical algorithm is a well-organized tool to analyze the multifaceted coupled partial differential equation representing Belousov-Zhabotinsky type reactions. 2024 NSP Natural Sciences Publishing Cor.