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Student's Performance Prediction Using Modified PSO
In the present-day education system, evaluating students' performance is very important. The prediction of student performance is helpful to students and instructors in maintaining a student's progress. Presently, institutions are implementing Continuous Evaluation Systems. This system is beneficial for improving the students' performance and helps increase their regularity in their studies. This work proposed a new version of the particle swarm optimization algorithm to classify students into different categories based on their performance with the help of various factors. The proposed model modified the strategy to increase the optimization algorithm's efficiency. This model deals with the bag of features with the modified optimization algorithm to recognize students' performance based on 33 features. These features are used for training, validation, and testing of the student's performance and generate a classification report which includes F-measure, recall, precision, and accuracy. Based on the classification report, the proposed model is compared with the existing methods, and the better performance of the proposed model is ascertained. 2023 IEEE. -
Twitter Sentiment Analysis using Machine Learning Techniques: A Case Study of ChatGPT
ChatGPT is a powerful AI bot developed by OpenAI. This technology has the potential to generate a humanlike response. ChatGPT is a pre-trained system capable of generating chat and understanding human speech. This paper identified the responses of ChatGPT users through related tweets with the help of natural language processing and machine learning techniques. This paper uses textBlob, VADER and human annotation to find the sentiment of each tweet; countvectorizer is used for feature extraction and different machine learning algorithms to classify them into different classes. LeXmo is used to identify the various sentiment analyses, and it is observed that positive and trust emotions are higher than other sentiments. SVM with 10-fold cross-validation shows better results than other techniques. 2023 IEEE. -
Analysis and predictions of spread, recovery, and death caused by COVID-19 in India
The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on 30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19. 2018 Tsinghua University Press. -
Influence of Solvent Environment on the Photophysical Properties of Maleamic Acid and Maleimide Derivatives
Absorption and fluorescence spectra of novel maleamic acid (E)-4-oxo-4-(4-((2-oxooxazolidin-4-yl)methyl)phenylamino)but-2-enoic acid (OMPBA) and its maleimide derivative 1-(4-((2-oxooxazolidin-4-yl)methyl)phenyl)-1H-pyrrole-2,5-dione (OMPPD) were recorded in a series of eighteen solvents of increasing polarity at room temperature (25C). A large Stokes shift indicates a bathochromic fluorescence band shift for both molecules. The photoluminescence properties and intramolecular charge transfer (ICT) behavior of OMPBA and OMPPD were analyzed. In the case of OMPPD, ICT contributes to a larger extent towards positive solvatochromism compared to OMPBA. Ground-state and singlet excited-state dipole moments of OMPBA and OMPPD were calculated using solvatochromic methods proposed by Bilot and Kawski, Lippert and Mataga, Bakhshiev, Kawskii and Chamma and Viallet, and also Reichardt. The ground state dipole moment was found to be larger than for the singlet excited state for both molecules. Optimized geometry and HOMOLUMO energies of OMPBA and OMPPD have been determined by DFT and TDDFT/B3LYP/6-311G (d, p). The HOMOLUMO energy gap was calculated from cyclic voltammetry and compared with theoretical values with good agreement. GCRD parameters such as ionization potential (IP), electron affinity (EA), electronegativity ?, chemical potential (?), chemical hardness (?), chemical softness (s) and electrophilicity (?) were calculated for OMPBA and OMPPD. 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Synthesis, crystal structure and photophysical properties of (E)-4-(4-(2-hydroxybenzylideneamino)benzyl)oxazolidin-2-one
A new Schiff base, (4-(benzylideneamino)benzyl)oxazolidin-2-one has been synthesised from 4-(4-aminobenzyl)oxazolidin-2-one and salicylaldehyde by a simple condensation reaction. Single-crystal X-ray analysis of (E)-4-(4-(2-hydroxybenzylideneamino) benzyl)oxazolidin-2-one (HBOA) revealed that there is a 1-D, slipped, face-to-face motif with off-set, head-to-tail stacked columns. Detailed studies on photophysical properties of the synthesised compound in solutions indicate their potential applications in the field of organic light emitting devices and nonlinear optical materials. Absorption and fluorescence study of HBOA has been conducted in a series of solvents with increasing polarity at room temperature. Ground and excited state dipole moments have been determined experimentally by using LippertMataga polarity function, Bakhshiev solvent polarity parameter, KawskiiChammaViallet solvent polarity parameter and Richardt?s microscopic solvent polarity parameter. Due to the considerable ?-electron density redistribution, the excited state dipole moment was found to be larger than that of the ground state. The ground state dipole moment value was determined by quantum chemical method which was used to estimate excited state dipole moment through solvatochromic correlations. KamletTaft and Catalan methods were used to get the information of both non-specific solutesolvent interactions and hydrogen bonding interactions. TD-DFT (B3LYP/6-311G(d,p)) has been used for the determination of HOMOLUMO energies. Mulliken charges and Molecular electrostatic potential were also evaluated from DFT calculations. 2016 Elsevier B.V. -
Estimation of Ground-State and Singlet Excited-State Dipole Moments of Substituted Schiff Bases Containing Oxazolidin-2-one Moiety through Solvatochromic Methods
Absorption and fluorescence studies on novel Schiff bases (E)-4-(4-(4-nitro benzylideneamino)benzyl)oxazolidin-2-one (NBOA) and (E)-4-(4-(4-chlorobenzylidene amino)benzyl)oxazolidin-2-one (CBOA) were recorded in a series of twelve solvents upon increasing polarity at room temperature. Large Stokes shift indicates bathochromic fluorescence band for both the molecules. The photoluminescence properties of Schiff bases containing electron withdrawing and donating substituents were analyzed. Intramolecular charge transfer behavior can be studied based on the influence of different substituents in Schiff bases. Changes in position and intensity of absorption and fluorescence spectra are responsible for the stabilization of singlet excited-states of Schiff base molecules with different substituents, in polar solvents. This is attributed to the Intramolecular charge transfer (ICT) mechanism. In case of electron donating (?Cl) substituent, ICT contributes largely to positive solvatochromism when compared to electron withdrawing (?NO2) substituent. Ground-state and singlet excited-state dipole moments of NBOA and CBOA were calculated experimentally using solvent polarity function approaches given by LippertMataga, Bakhshiev, Kawskii-Chamma-Viallet and Reichardt. Due to considerable ?- electron density redistribution, singlet excited-state dipole moment was found to be greater than ground-state dipole moment. Ground-state dipole moment value which was determined by quantum chemical method was used to estimate excited-state dipole moment using solvatochromic correlations. Kamlet-Abboud-Taft and Catalan multiple linear regression approaches were used to study non-specific solute-solvent interaction and hydrogen bonding interactions in detail. Optimized geometry and HOMO-LUMO energies of NBOA and CBOA have been determined by DFT and TD-DFT/PCM (B3LYP/6-311G (d, p)). Mulliken charges and molecular electrostatic potential have also been evaluated from DFT calculations. 2016, Springer Science+Business Media New York. -
Photophysical study of 6-amino-3-methyl-4-(4-nitrophenyl)-1,4-dihydropyrano[2,3-c]pyrazole-5-carbonitrile and estimation of ground-state and singlet excited-state dipole moments by solvatochromic approaches
An investigation of absorption and fluorescence behaviour of 6-amino-3-methyl-4-(4-nitrophenyl)-1,4-dihydropyrano[2,3-c]pyrazole-5-carbonitrile (NDPPC) at room temperature was carried out using a series of twelve organic solvents with different polarities. Ground and excited state dipole moments were determined experimentally by using LippertMataga polarity function, Bakhshiev solvent polarity parameter, Kawski-Chamma-Viallet solvent polarity parameter, Reichardt's microscopic solvent polarity parameter, Kamlet-Abboud-Taft multiple linear regression and Catalan dipolar polarizibility approach. Due to considerable ?- electron density redistribution, the value of excited state dipole moment was found to be greater than that of the ground state. The ground state dipole moment value was determined by quantum chemical method which was used to estimate excited state dipole moment using solvatochromic correlations. Both non-specific solute-solvent interactions and hydrogen bonding interactions were investigated by using Kamlet-Abboud-Taft and Catalan method. TD-DFT (B3LYP/6-311G (d,p)) was used for the determination of HOMO-LUMO energies. 2016 Elsevier B.V. -
Effect of solvent polarity on the photophysical properties of chalcone derivatives
The absorption and fluorescence characteristics of (E)-3-(furan-2-yl)-1-(4-nitrophenyl)prop-2-en-1-one (FNPO), (E)-1-(4-aminophenyl)-3-(furan-2-yl)prop-2-en-1-one (AFPO) and (E)-3-(furan-2-yl)-1-(2-hydroxyphenyl)prop-2-en-1-one (FHPO) were recorded in eighteen different solvents with increasing polarities at room temperature. The solvatochromic effects on absorption and fluorescence spectra have shown bathochromic shifts from non-polar to polar solvents for the reported molecules due to intramolecular charge transfer (ICT) interactions. It has indicated a large difference in dipole moment between electronically ground and excited states and the molecules were found to be more stabilized in singlet excited state than the ground state. The ground and excited state dipole moments of FNPO, AFPO and FHPO were determined experimentally by solvatochromic shift method using Bilot-Kawski, Lippert-Mataga, Bakhshiev, Kawski-Chamma-Viallet and Reichardt's microscopic solvent polarity functions. HOMO-LUMO energy values of FNPO, AFPO and FHPO were determined using cyclic voltammetry and compared with those values obtained by TD-DFT (B3LYP/6-311G(d,p)) method. 2017 The Royal Society of Chemistry. -
Synergizing Neutrosophy and Randomized Blocks Design: Development and Analytical Insights
The design of the experiment is a strategy for effectively examining the relationship between input design parameters and process output and developing a greater understanding. A randomized block design is an experimental design that has two primary factors and is widely used in agriculture, environment, biological, animal, and food sciences, where experimental material is heterogeneous and precise. In a randomised block design, one or more observations may lose their true significance due to an accident, poor handling, pest infestations in agricultural trials, or other factors. It is prudent to treat this value as missing and estimate it. In todays practical situations, uncertainty and inaccuracies are inevitable in most research areas. It is important to handle such data, which can lead to inaccurate and unreliable results. Neutrosophy is the branch of philosophy that provides an efficient method to study impreciseness among the data. Some of the common sources of Neutrosophy in randomised block design are incorrect blocking factor selection, measurement error, subjective factors, and natural variability. It is paramount to handle the Neutrosophy in a randomised block design; otherwise, it may lead to various problems, like a high risk of false positives. In this paper, the Neutrosophic Randomised Block Design (NRBD) is introduced to tackle data impreciseness. The study also, outlines a methodology for estimating missing observations in NRBD and presents its analysis. Additionally, the study compares the efficiency of NRBD to that of the Neutrosophic Completely Randomised Design (NCRD). 2024, American Scientific Publishing Group (ASPG). All rights reserved. -
Charting the Future of Fintech: Unveiling Finoracle through an In-depth Comparison of LLAMA 2, FLAN, and GPT-3.5
The research paper compares three Large Language Models (LLMs): LLAMA 2, FLAN, and GPT-3.5, in summarizing financial technology (fintech) news. Using 100 articles and the Rouge scoring system, it focuses on LLAMA 2's superior performance in creating concise and precise summaries. The study also introduces FinSage, a new framework utilizing LLAMA 2, promising to enhance fintech text analysis and decision-making. It concludes that LLAMA 2 sets a new standard for AI in financial data processing and analysis. 2024 IEEE. -
Analysing the Impact of CSR Spending by Big 4 Firms on their Financial Profitability
This study delves into this ongoing debate whether socially responsible companies perform better which leads to financial profit or instead have no impact. This study focuses on leading accounting companies i.e., PricewaterhouseCoopers (PwC), Deloitte, Ernst & Young (EY), and KPMG and whether CSR Spending impacts their financial profitability or goes unnoticed. Grenze Scientific Society, 2024. -
Ergos: redefining storage infrastructure and market access for small farmers in India
Learning outcomes: After completion of the case study, students will be able to analyse the path of the entrepreneurship from idea generation to market development to scaling up business, examine the impact of start-ups like Ergos on Indias agriculture value chain, discuss the challenges faced by tech entrepreneurs in growing a business, identify problems solved by Grain Bank Model and evaluate digitisation of farmings custodial services such as warehousing, market linkages and loans. Case overview/synopsis: The case study discusses how founders of Ergos, India-based leading digital AgriTech start-up, Kishor Kumar Jha and Praveen Kumar, started one of the unique models in the AgriTech landscape in India. After noticing the grim condition of small and marginal farmers in Bihar, India. Kishor and Praveen decided to put their banking and corporate experience to use in the farming sector. Ergos aimed to empower farmers by providing them with a choice on when, how much quantity, and at what price they should sell their farm produce, thus maximising their income. As a result, Ergos launched the grain bank model, which provided farmers with doorstep access of end-to-end post-harvest supply chain solutions by leveraging a robust technology platform to ensure seamless service delivery. Ergos faced many challenges in its journey related to financing, marketing and distribution. Amidst these developments, it remained to be seen how Kishor and Praveen would be able to realise their goal to serve over two million farmers across India by 2025 and create a sustainable income for them through its GrainBank Platform. Complexity academic level: This case study was written for use in teaching graduate and postgraduate management courses in entrepreneurship and business strategy. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 3: Entrepreneurship 2024, Emerald Publishing Limited. -
A Study on Challenges and Solutions in the Uptake of Agricultural Technology Startups Services in Karnataka
In congruence with overarching trend of digitalization sweeping across India, agricultural sector is currently experiencing remarkable advancements propelled by innovative technological solutions introduced by emerging startups in agritech domain. The state of Karnataka is swiftly solidifying its position as preeminent leader in agritech industry attracting heightened interest from venture capital investors in recent times and emerging as dominant recipient of these investments garnering substantial 52% share followed by Maharashtra at 18% and Tamil Nadu at 9.2%. The principal aim of this research endeavor is to scrutinize socioeconomic impediments hindering adoption of AgriTech within rural precincts of Karnataka specifically in districts of Rural Bangalore (Doddabalapura and Nelmangala) and Davanagere (Shiramagondonahalli). The study seeks to gauge perceptions of farmers regarding potential solutions aimed at fostering greater adoption of AgriTech in these aforementioned regions. The study employed descriptive analysis by utilizing data obtained from judiciously selected sample of 120 farmers dichotomized into those who had availed themselves of AgriTech services and those who had not as provided by AgriTech firms. Empirical findings illuminate formidable impact of socioeconomic factors encompassing economic standing, land ownership classification and educational attainment in shaping farmers receptivity toward AgriTech utilization. The study unearthed valuable insights pertaining to propositions put forth by farmers to enhance adoption of AgriTech practices among their peers. The study furnishes valuable elucidations concerning barriers impeding adoption of AgriTech and offers viable solutions to invigorate increased participation among farmers in realm of AgriTech proffering pertinent recommendations to stakeholders such as AgriTech startup executives, researchers and policymakers urging them to meticulously assess local socioeconomic dynamics and tailor AgriTech services in accordance with discerned needs and preferences of farming community. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
An Analysis of Financial and Technological Factors Influencing AgriTech Acceptance in Bengaluru Division, Karnataka
In 2023, India surpassed China to become the world's most populated nation. This demographic surge has precipitated an escalating exigency for sustenance as populace burgeons unabatedly. To satiate this burgeoning demand there arises an imperative to augment yield of agriculture commensurately. It is pertinent to acknowledge that as per Global Hunger Index of 2019, India occupies disconcerting rank of 102 amongst consortium of 117 nations when gauged by severity of hunger quantified through Hunger Severity Scale with disquieting score of 30.3. Aspiration of attaining utopian objective of zero hunger by 2030 as promulgated by Sustainable Development Goals appears to be quixotic endeavor seemingly beyond realm of plausibility. In this milieu agricultural technology (AgriTech) enterprises within India present veritable opportunity to invigorate agricultural sector. Agrarian landscape of India has been undergoing profound metamorphosis owing to technological renaissance that has permeated nation facilitated by innovative solutions proffered by nascent corporate entities. State of Karnataka stands as an epicenter of sorts for AgriTech enterprises within India. In this study we meticulously scrutinize impact wielded by financial factors on adoption of AgriTech solutions by agrarian stakeholders and elucidate technological determinants that actuate embracement of AgriTech within this demographic. The study uses descriptive statistics and chi-square analyses to rigorously assess predefined objectives. Geographic ambit of this inquiry encompasses regions of Chikkaballapura and Doddaballapura Taluks situated within Bengaluru division of Karnataka in 2022. The empirical revelations distinctly illuminate that individuals vested with access to technological and financial resources exemplified by parameters such as annual household income, accessibility to commercial banking services, cooperative financial institutions, mobile telephony, internet connectivity and Global Positioning System (GPS) technology exhibit palpable predilection for integration of AgriTech solutions into their agrarian practices. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Capturing non-financial information in integrated reporting
In the contemporary business scenario, integrated reporting is a transformational form of corporate reporting. Integrated reporting provides material and substantial information about an entitys prospects, governance, strategy and actions that serve as a reflection of social and commercial viability within the holistic environment in which it operates (IIRC, 2013). Thus, in integrated reports, along with financial information the critical non-financial aspects that affect the reputation, performance and sustainability of the firm are also required to be reported by companies. While regulations are instituted for compulsory divulgence of non-financial information as part of annual reports, there is a lot of ambiguity regarding the non- financial items to be included and the manner of reporting. This paper delineates the non-financial capital components for disclosure in integrated reports. It also discusses the current practices of integrated reporting world over, which will help organisations gain clarity in presenting the non-financial items under different heads of non-financial capitals. Copyright 2022 Inderscience Enterprises Ltd. -
Reliability estimation of multicomponent stressstrength system with non-identical strength components based on generalized inverted exponential distribution
This research article estimates the reliability of s-out-of-k multicomponent systems subjected to common stress, where the strength components are non-identical and independently distributed. In practical scenarios, it is often unrealistic to assume that all strength components of a system are identical. To address this problem, we estimate the reliability of multicomponent stress strength (MSS) systems under the assumption of non-identical strength components and a common stress component, following independent generalized inverted exponential distributions. The estimation of MSS reliability is performed using both classical and Bayesian approaches. In the classical framework, the maximum likelihood estimation method is employed for point estimation, while asymptotic confidence intervals are constructed for interval estimation. In the Bayesian framework, point and interval estimates are obtained using TierneyKadanes approximation and Markov chain Monte Carlo techniques under an asymmetric loss function, as the Bayes estimator does not have a closed-form expression. A comprehensive numerical simulation study is conducted to compare the performance of the various estimators developed. Finally, the proposed methodologies are illustrated using a real-life dataset, showcasing their practical applicability and effectiveness. From the numerical studies, it is found that the MSEs for the classical and Bayes estimates are less than 0.010, and the coverage probabilities of the interval estimates attain their nominal level of significance, i.e. 95% in most of the cases. The Author(s), under exclusive licence to Springer Nature B.V. 2025. -
Synthesis and characterization of heterocyclic derivatives and studies on their photophysical properties
Photophysical properties such as absorption, fluorescence, quantum yields and lifetime of fluorescent heterocyclic compounds have been a subject of extensive research interest. Absorption and fluorescence emission of fluorescent molecules results in electronic transitions between ground and singlet excited state. The bathochromic or hypsochromic spectral shift brings a considerable change in dipole moment of both the electronic states through solute-solvent interactions. We have synthesized some heterocyclic compounds and studied thier photophysical properties. Different derivatives such as Schiff base, chalcone, maleimide and pyranopyrazole were synthesized and characterized by FTIR, 1H NMR, 13C NMR, mass spectrometry and elemental analysis. Photophysical properties of synthesized compounds have been studied through absorption and fluorescence spectroscopy and DFT calculations. We have used solvatochromic approaches such as Bilot-Kawski, LippertMataga, Bakhshiev, Kawski-Chamma-Viallet and Reichardt's solvent polarity parameters to evaluate dipole moments of ground state and singlet excited state of the synthesized heterocyclic compounds. The influence of specific and non-specific interactions on spectral properties was also investigated by using Kamlet-Abboud-Taft and Catalan multiple linear regression equations. X-ray diffraction analysis of hydroxyl Schiff base derivative has been carried out due to the presence of strong inter and intra molecular hydrogen bonding. Solvatochromic analyses of synthesized compounds were done using Bilot-Kawski, Lippert-Mataga, Bakhshiev, Kawski- Chamma-Viallet and Reichardt methods. All Solvatochromic graphs have been plotted for spectral parameters against solvent polarity parameters using Origin 8 software. The obtained experimental results from all methods were compared with theoretical results. The correlation coefficient between microscopic solvent polarity parameter and spectral Stokes-shifts were higher in comparison to bulk solvent polarity functions. Graphs for each molecule provided good correlation based on least square analysis. Dipole moment values of ground and excited states were calculated using slopes of different solvatochromic methods. Higher value of singlet excited state dipole moment indicated that the molecules were more polarised in the singlet excited state. Kamlet-Abboud-Taft and Catalan multiple linear regression (MLR) analyses were used to analyse the solvent effects on absorption, emission and difference in spectral energies of the synthesized molecules. Single point method was used to calculate the quantum yields of the synthesized compounds in ethanol using an ethanolic solution of anthracene as a reference compound. Edwards atomic increment method was applied to calculate the Onsager cavity radii of all the molecules using van der Waals volume. DFT/TD-DFT was used for quantum mechanical calculations of all the molecules. The geometrical structures of the synthesized molecules were optimized using B3LYP/6-311G(d, p) basis set. The positions of HOMO-LUMO orbitals were identified and the band gaps for all the molecules were calculated. Mulliken atomic charges and electrostatic potential surface (MEP) have also been evaluated for all the molecules to identify the ICT pathway and evaluate electrophilic and nucleophilic reactive sites around the molecules . The fluorescence quenching studies of a chalcone derivative by aniline in n-butanol and 1,4-dioxane was performed at 25 ? C which indicated that quenching reactions are diffusion limited. -
AI-Driven Marketing Automation and Hyper-Personalization Strategies for Enhanced Consumer Engagement
The integration of artificial intelligence (AI) into marketing has revolutionized how businesses engage with consumers, allowing for hyper-personalized interactions and marketing automation. This paper explores the role of AI in driving consumer engagement through targeted strategies that leverage data analytics, machine learning, and predictive modelling. By enabling real-time personalization, AI tools optimize customer experiences, increase engagement, and improve conversion rates. The paper also addresses the challenges associated with data privacy and ethical considerations in AI-driven marketing. The findings suggest that AI-driven marketing can significantly enhance consumer loyalty and business performance when used responsibly and strategically. 2026, IGI Global Scientific Publishing. All rights reserved. -
Evaluating the Potential of Cordycepin as a Therapeutic Agent for Cancer: In-Silico Analysis of EGFR and VEGFR Interactions
Due to multipotent activity, Cordycepin, a nucleoside isolated from Cordyceps fungi (Cordyceps militaris), has recently attracted considerable interest as a compound for antitumor. Cordycepin is also known as 3-deoxyadenosine, which is known to inhibit tumor growth, but the actual mechanism is not known. The present work aims to evaluate the cordycepin as an anticancer candidate by analyzing its impact on the major oncogene receptors EGFR and VEGFR through an in-silico approach. In the analysis, computational docking was performed with AutoDock Vina 1.5.7, which estimated the binding constants of cordycepin with EGFR and VEGFR and got binding energies of -6.8 kcal/mol and -5.5 kcal/mol, respectively, relative to a reference Leucovorin molecule. In addition, molecular dynamics simulations were also performed for the best complex (Cordycepin-EGFR) to examine the conformational dynamic behavior of the cordycepin-EGFR complex. The functionality and architecture of the cordycepin-EGFR complex were illustrated: their interaction might serve as a base for therapy. Also, ADMET predictions show that cordycepin follows Lipinskis rules, which supports the drug-likeness of cordycepin compounds. Accordingly, the findings presented here will confirm and draw the attention of the scientific community to use the cordycepin as a possible treatment for cancer and its potential use in scientific pharmacology. 2025, Iquz Galaxy Publisher. All rights reserved. -
Enhancing Experimental Efficiency in Uncertain Data: A Comparative Analysis of Neutrosophic and Classical Latin Square Designs
This research investigates the relative efficiency between Neutrosophic Latin Square Design (NLSD) and Classical Latin Square Design (CLSD), with a particular focus on their use in situations where data is uncertain and ambiguous. Although CLSD is a classic experiment designed for systematic error control, its utility is limited in fields like agriculture and behavioral sciences due to its performance bottleneck regarding data imprecision. The NLSD can relatively easily be extended to incorporate neutrosophic logic to address these challenges, making it a more powerful tool for modeling uncertainty. In this paper, a systematic efficiency evaluation of NLSD against CLSD is performed for inconsistent data. It is found that the NLSD enables significant improvements in experimental efficiency while providing clearer inferences regarding treatment effects and supporting more reliable conclusions. Despite these limitations, these benefits establish NLSD as a promising candidate for overcoming environmental uncertainties, and these observations hold significant potential to further the advancement of experimental designs. The results demonstrate that NLSD conveys a 55 % chance to enhance efficiency relative to LSD, which is especially important in processes that must attain maximum resource utilization and high experimental efficiency. 2025, Ayandegan Institute of Higher Education. All rights reserved.