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Investigating key biological traits of Malva parviflora influencing its competitive invasion in wheat crops
Plant invasion is a major concern for ecologists and agriculturists. Early detection of potential invaders (weeds) would save energy and resources that would otherwise be used to tackle them after they had spread. A study was initiated at the ICAR-Indian Agricultural Research Institute, New Delhi, on the basis of the early detection and rapid response (EDRR) strategy. For this study, we choose the little mallow (Malva parviflora L.), a newly introduced Malvaceae family weed in the agricultural fields of Delhi and adjoining regions of India. The above-ground allometric parameters ofM. parviflora populations in the main field and the field boundary were compared. The findings revealed that the EDRR approaches established by this study provided useful information to corroborate the weed species' invasion. The canopy diameter, plant height, and the number of leaves M. parviflora differed between the field boundaries (25.72cm, 24.40cm, 58.97, respectively) and main field (12.79cm, 49.08cm, 18.85, respectively) populations in all three locations, except the canopy diameter was comparable in location 2. Furthermore, neighborhood analysis showed that the M. parviflora had greater acclimatization with a variety of neighbors (38 plant species), i.e., legumes, noxious weeds, and seasonal dominant weeds. Malva parviflora has become a dominant weed along the field boundary. However, it has the potential to spread to the main field and become a serious weed in winter crops in the future. The EDRR methodologies developed in this study can be used to assess the invasion of new weeds in a variety of habitats. Plant Science and Biodiversity Centre, Slovak Academy of Sciences (SAS), Institute of Zoology, Slovak Academy of Sciences (SAS), Institute of Molecular Biology, Slovak Academy of Sciences (SAS) 2025. -
Investigating Key Contributors to Hospital Appointment No-Shows Using Explainable AI
The healthcare sector has suffered from wastage of resources and poor service delivery due to the significant impact of appointment no-shows. To address this issue, this paper uses explainable artificial intelligence (XAI) to identify major predictors of no-show behaviours among patients. Six machine learning models were developed and evaluated on this task using Area Under the Precision-Recall Curve (AUC-PR) and F1-score as metrics. Our experiment demonstrates that Support Vector Classifier and Multilayer Perceptron perform the best, with both scoring the same AUC-PR of 0.56, but different F1-scores of 0.91 and 0.92, respectively. We analysed the interpretability of the models using Local Interpretable Model-agnostic Explanation (LIME) and SHapley Additive exPlanations (SHAP). The outcome of the analyses demonstrates that predictors such as the patients' history of missed appointments, the waiting time from scheduling time to the appointments, patients' age, and existing medical conditions such as diabetes and hypertension are essential flags for no-show behaviours. Following the insights gained from the analyses, this paper recommends interventions for addressing the issue of medical appointment no-shows. 2024 IEEE. -
Investigating MnSe@Y2O3 nanocomposite as an electrode for asymmetric hybrid supercapacitor
In this research work, manganese selenide (MnSe) and yttrium oxide (Y2O3) nanoparticles have been synthesized by facile melt diffusion and hydrothermal technique which are then composited by ultrasonication. The composite MnSe@Y2O3 has been analyzed as a supercapacitor electrode. The growth structure of the composite was scrutinized systematically by powder X-ray diffraction (PXRD), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), high resolution transmission electron microscopy (HRTEM), and selected area diffraction pattern (SAED). The Trasatti and Dunn's plots have been also plotted to calculate the capacitive and diffusive contribution. The device is fabricated with PVA-KOH gel electrolyte. Also, the fabricated device MnSe@Y2O3||AC has exhibited a specific capacity of 48.39 C/g at 1 A/g through the potential window of 01.7 V. The wide potential window is evidence for high energy density. This also provides elevated energy density of 19 Wh/kg, at high power density of 1445 W/kg, and has shown brilliant cyclic stability of 70.16 % even after 5000 charge/discharge cycles. 2024 Elsevier B.V. -
Investigating Personalized Learning Paths to Address Educational Disparities Using Advanced Artificial Intelligence Systems
This innovative study reimagines the role of Natural Language Processing (NLP) in individualized education by highlighting the critical need to incorporate cultural subtleties. While natural language processing (NLP) offers great potential for improving classroom instruction, current research frequently fails to account for the complex issues caused by cultural variation. This research fills a significant need by providing a novel framework for the detection and incorporation of cultural subtleties into individualized learning programs. Further research into common biases is driving the development of natural language processing models with greater cultural sensitivity and awareness, such as gender bias in Named Entity Recognition (NER) and sentiment bias in cultural preferences. In order to correct past biases and promote gender neutrality in educational content, the research makes use of an adaptive NER algorithm and a diverse training dataset. Similarly, to guarantee nuanced and fair sentiment evaluations, the study suggests regularly evaluating and retraining sentiment algorithms with datasets that represent multiple cultures. A Cultural Relevance Score of 0.9, Adaptive Content Embedding vectors [0.3, 0.6, -0.2.], and an impressive Cosine Similarity of 0.85 are some of the evaluation measures that highlight the effectiveness of the research. These measurements show encouraging gains, which confirms that the research might help make schools more welcoming and sensitive to different cultures. The research has the potential to revolutionize individualized education by making it more accessible and engagingfor students from all backgrounds. 2024 IEEE. -
Investigating Risk Factors for Enhanced Portfolio Performance: An AI Approach for Indian Midcap Market Analysis
This research investigates the potential of machine learning (ML) for constructing portfolios that outperform human-based management, specifically focusing on the Indian midcap market. The study compares AI-based portfolio compositions, optimised using various risk measures, to the holdings of top midcap mutual funds. In this research, the top five midcap mutual funds sectoral distributions, portfolio compositions, and AI-generated portfolios are examined. According to the research, there is significant performance potential in the AI-generated portfolio, particularly when taking shorter investment horizons into account. Portfolios that maximise the Sharpe ratio produced the best returns throughout the course of the test period for four out of the six sectors, according to the research statistics. Additionally, in order to shed light on the effectiveness and possible advantages of our strategy, our study compares the suggested technique to existing investing strategies that concentrate on particular corporations as well as well-established market benchmarks. The research shows that, particularly when taking shorter investment horizons into account, the AI-generated portfolio has great performance potential. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Investigating Salt-Finger Convection Under Time-Dependent Gravity Modulation in Micropolar Liquids
This paper investigates how gravity modulation affects salt-finger convection in a micropolar liquid layer confined between two parallel, infinitely long plates separated by a thin gap. The system is heated and has solute added from above. The study uses linear stability analysis to examine when and how salt-finger convection, driven by the salt-finger process, begins. To analyze this, the partial differential equations governing the system are solved numerically using normal mode analysis. The Venezian approach is applied to find the critical Rayleigh number and the solutal Rayleigh number, which are key to understanding the onset of convection. Also, the paper explores how different micropolar fluid parameterssuch as the coupling parameter, micropolar heat conduction parameter, couple stress parameter, and inertia parameteraffect the system when gravity modulation is present. It is found that gravity modulation can either stabilize or destabilize convection, depending on its frequency. At very high frequencies (approaching infinity), the effect of gravity modulation becomes minimal, having little impact on the convection process. The paper also examines the relationship between the critical Rayleigh number and the solutal Rayleigh number, which are related to heat and solute concentration, respectively. 2024 Wiley Periodicals LLC. -
Investigating Salt-Finger Convection Under Time-Dependent Gravity Modulation in Micropolar Liquids
This paper investigates how gravity modulation affects salt-finger convection in a micropolar liquid layer confined between two parallel, infinitely long plates separated by a thin gap. The system is heated and has solute added from above. The study uses linear stability analysis to examine when and how salt-finger convection, driven by the salt-finger process, begins. To analyze this, the partial differential equations governing the system are solved numerically using normal mode analysis. The Venezian approach is applied to find the critical Rayleigh number and the solutal Rayleigh number, which are key to understanding the onset of convection. Also, the paper explores how different micropolar fluid parameterssuch as the coupling parameter, micropolar heat conduction parameter, couple stress parameter, and inertia parameteraffect the system when gravity modulation is present. It is found that gravity modulation can either stabilize or destabilize convection, depending on its frequency. At very high frequencies (approaching infinity), the effect of gravity modulation becomes minimal, having little impact on the convection process. The paper also examines the relationship between the critical Rayleigh number and the solutal Rayleigh number, which are related to heat and solute concentration, respectively. 2024 Wiley Periodicals LLC. -
Investigating stock market efficiency in India
International Journal of Computer Application & Management, Vol. 3, Issue 3,pp.45-48 ISSN No. 2231-109 -
Investigating structure and spectral energy distribution of galaxies using UVIT and multi-wavelength archival data
Observational astronomy and studies of galaxy formation and evolution made dramatic advances in the past few years. This thesis deals with the multi-wavelength investigation of the different aspects of galaxy formation and evolution. The work focuses on the star formation properties of late-type spiral galaxy NGC 2336, and the properties of unresolved galaxies and of resolved early-type galaxies using spectral energy distribution (SED) fitting method. The first part of this thesis deals with the studies on the characteristics of in orbit performance of the Ultraviolet Imaging Telescope (UVIT) on-board AstroSat . AstroSat is the first Indian multi-wavelength mission and was launched on 28 September 2015 into a low Earth orbit. The UVIT instrument on AstroSat provides a unique opportunity to study the ultraviolet (UV) sky simultaneously in three channels, covering the wavelength range 1300–1800 Å (FUV), 1800–3000 Å (NUV) and 3200–5300 Å (VIS). Characterizing the in-flight properties of the instrument is a prerequisite to obtain scientifically accurate and self consistent results from the scientific programs running on it. -
Investigating structure and spectral energy distribution of galaxies using uvit and multi-wavelength archival data
This thesis deals with the multi-wavelength investigation of the different aspects of galaxy formation and evolution. The first part of this thesis deals with the studies on the characteristics of the in-orbit performance of the Ultraviolet Imaging Telescope (UVIT) on-board AstroSat. We have written a UVIT pipeline (JUDE ) to convert the Level 1 data from the Indian Space Science Data Centre (ISSDC) into scientifically useful photon lists and images. We have also performed an independent calibration of the FUV and NUV channels of the UVIT using JUDE. We found that the photometric sensitivity is about 35% that of the Galaxy Evolution Explorer (GALEX ) in the FUV broadband filter, and about the same as GALEX in the NUV broadband filter. The point spread function (PSF) of the instrument is of the order of 1.2 1.6and#8242;and#8242;. We found that the performance is close to that expected from the ground-based calibrations. We studied the recent star formation in the nearby face-on spiral galaxy NGC 2336 using the UVIT imaging. We have identified 78 bright star-forming complexes in the disk and derived their positions and estimated their properties such as luminosities, sizes, star formation rates (SFRs), colors, and ages. The FUV-NUV colors of the complexes are found to be redder in the inner region of the galaxy and become progressively bluer as the radius increases. The last part of this thesis is devoted to a model-based study of galaxies using physically motivated Code Investigating Galaxy Emission (CIGALE) package. We have studied 10,000 galaxies from GALEX SDSS merged catalog using CIGALE and estimated their properties such as stellar masses, SFRs, stellar populations, dust luminosities etc. We have classified this set of galaxies into the star-forming, intermediate and quiescent type of galaxies based on their specific SFR. We also studied the properties of dust-lane spheroidal galaxies (DLSGs) drawn from the multi-wavelength archival data in 18 bands from FUV to FIR using GALEX, SDSS, 2MASS, WISE, and AKARI surveys. -
Investigating sustainable development for the COVID-19 vaccine supply chain: a structural equation modelling approach
Purpose: Immunization is one of the most cost-effective ways to save lives while promoting good health and happiness. The coronavirus disease 2019 (COVID-19) pandemic has served as a stark reminder of vaccines' ability to prevent transmission, save lives, and have a healthier, safer and more prosperous future. This research investigates the sustainable development (SD) of the COVID-19 vaccine supply chain (VSC). Design/methodology/approach: This study investigates the relationship between internal process, organizational growth, and its three pillars of SD environmental sustainability, economic sustainability and social sustainability. Survey-based research is carried out in the hospitals providing COVID-19 vaccines. Nine hypotheses are proposed for the study, and all the hypotheses got accepted. The survey was sent to 428 respondents and received 291 responses from health professionals with a response rate of 68%. For the study, the healthcare professionals working in both private and public hospitals across India were selected. Findings: The structural equation modelling (SEM) approach is used to test the hypothesis. All nine hypotheses are supported. This study examines a link between internal processes and organizational learning and the three sustainability pillars (environmental sustainability, economic sustainability and social sustainability). Practical implications: This study will help the management and the policymakers to think and adopt SD in the COVID-19 VSC. This paper also implies that robust immunization systems will be required in the future to ensure that people worldwide are protected from COVID-19 and other diseases. Originality/value: This paper shows the relationship between organizational learning and internal process with environmental sustainability, economic sustainability and social sustainability for the COVID-19. Studies on VSC of COVID-19 are not evident in any previous literature. 2022, Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka, Surya Kant Pal and Ramji Nagariya. -
Investigating system vulnerabilities in digital environments
[No abstract available] -
Investigating the contrast diurnal relationship of land surface temperatures with various surface parameters represent vegetation, soil, water, and urbanization over Ahmedabad city in India
Many climatic problems have arisen due to congested and inefficient planning, reduced vegetation cover, and increased pollution from factories and vehicles. One such primary concern is increased land surface temperature (LST) contributes to the urban heat island (UHI) occurrence. This research aims to understand better the UHI effect in the region neighbouring the Indian city of Ahmedabad. MODIS sensor data (onboard Aqua and Terra platforms) and Landsat data were used for the study. The research was done for the summer, monsoon, and winter seasons in the research region, using data from thirteen years between 2003 and 2015. The current study looked at LSTs' spatial and temporal differences to assess the SUHI effect over Ahmedabad city. The association between diurnal LST and various surface variables such as vegetation, built-up, soil, water, and so on has also been examined. A variety of land surfaces influences the diurnal variations of LSTs. The diurnal associations of LST with vegetation, urbanization, soil, and water factors have been studied. The overall study of LST' relationship with all of the various parameters reveals a very significant dynamic relationship. 2022 The Author(s) -
Investigating the Determinants of Financial Well-Being: A SEM Approach
Studies reveal that the financial well-being of employees has a direct bearing on their productivity and overall well-being. The wellness initiatives organized by the information technology (IT) companies operating in India have also started focusing on the contributing aspects of financial well-being. In this context, the article explores the determinants of financial well-being of IT professionals in India. The article utilizes confirmatory factor analysis (CFA) for the analysis. The study employs a survey questionnaire covering financial literacy, financial behavior, and financial fragility. It also attempts to recognize the influence of gender and job roles (technical or managerial) in ascertaining financial well-being. The sample data used in the study include 237 professionals employed in the IT sector. The study uses partial least squared structured equation modelling (PLS-SEM) to understand the connection between the determining factors. The results indicate that financial well-being is positively influenced by financial literacy and financial behavior while financial fragility has a substantial negative impact. The financial literacy and financial fragility are significantly different between technical and managerial roles. Gender appears to have a sizeable impact on the financial behavior and financial fragility levelswomen employees performed better in both the factors. Interestingly, financial literacy levels of the two genders are not significantly different. The results show that there is a need to focus on literacy, behavior, and fragility in financial wellness programs organized by the IT industry. Further, the study recommends offering tailored financial wellness training modules created based on the job levels and gender instead of following one program, fits all standardized approach. 2023 KJ Somaiya Institute of Management. -
Investigating the Dynamic Interlinkages between Exchange Rates and the NSE NIFTY Index
This study aims at examining the short-run and long-run dynamic linkages among exchange rates and stock market index in India through a structured cointegration and Granger causality tests. Daily exchange rates of USD, EUR, CNY, JPY, and GBP to INR along with the daily movement of NSE NIFTY for a period spanning 13 years from 6 September 2005 to 31 December 2018 were used for the analysis. The results reveal that there is no evidence for a stable long-run relationship between NSE NIFTY and the exchange rates under study. However, the VAR-based Granger causality test shows that USD, JPY, and CNY have short-run causal relationship with NSE NIFTY. The NSE NIFTY also seemed to have an influence on USD expressed in terms of Indian rupee. The impulse response analysis further supports the results of the Granger causality test and provides information on the time required for the NSE NIFTY index to recover from a shock caused by the fluctuation in exchange rates. 2021 by the authors. -
Investigating the dynamics, synchronization and control of chaos within a transformed fractional SamardzijaGreller framework
In this article, in response to the limitations of existing ecological models, we address the critical need for a more comprehensive understanding of predatorprey dynamics by presenting a modified fractional SamardzijaGreller model that incorporates intra- and inter-species competitions within two predator populations. Our model stands out for being more realistic because it considers the natural competition that occurs among and between two predator species when they share a common prey We derived the local stability conditions at equilibrium points using RouthHurwitz conditions for the modified model. With the help of a suitably chosen Lyapunov function, we also obtained the global stability condition for our fractional model. The existence of chaos has been confirmed through Lyapunov exponents and bifurcation in the new system for two distinct sets of initial conditions for different fractional orders. Employing the active control method, we establish conditions for synchronization between these two fractional systems and introduce control functions for chaos management in the modified model. Numerical simulations, utilizing the generalized AdamsBashforthMoulton method, support the theoretical findings across a spectrum of fractional orders ranging from 0 to 1. We demonstrated the adaptability of the active control method for different fractional orders. A fractional order of ? equal to 1 for synchronization shows rapid convergence, but a drop to ? equal to 0.80 causes a substantial slowdown that takes almost six times more number of iterations to complete. Thus, we shed light on how the fractional order of the system plays a pivotal role in determining the speed of synchronization, with lower orders leading to a noticeable delay and higher fractional orders favoring faster synchronization. Our thorough investigation contributes to the understanding of complex ecological systems and offers practical insights into fractional chaos control mechanisms within the context of predatorprey models. 2024 Elsevier Ltd -
Investigating the Electrochemical Behavior of Flowerlike-Co-Pi-Decorated Ti3C2TxMXene for Cathodic CO2Utilization: A Sustainable Approach
The rising CO2 concentration in the atmosphere has sparked the need for research communities and industries to shift toward embracing technologies prioritizing CO2 conversion and utilization. This research presents the fabrication of flowerlike cobalt-inorganic phosphate-decorated Ti3C2Tx MXene-modified carbon fiber paper (Co-Pi/Ti3C2Tx/CFP) electrode for electrochemical CO2 fixation via benzyl chloride transformation to produce industrially and pharmaceutically important phenylacetic acid (PAA). The multilayered Ti3C2Tx, having a large specific surface area, functions as the nucleation centers for the deposition of Co-Pi and enhances its physical, chemical, and electron transmission attributes. The Co-Pi anchored to Ti3C2Tx in turn modifies the interlayer properties of MXene, prevents restacking of the layered MXene structure, provides additional electrocatalytic sites, and escalates the electrocatalytic efficiency. Cyclic voltammetry and potentiostatic electrolysis studies revealed a higher current response, lower reduction potential, and increased productivity at the Co-Pi/Ti3C2Tx/CFP electrode for benzyl chloride transformation with CO2 coupling, yielding the desired carboxylic acid. Under optimal conditions, potentiostatic electrolysis at ?1.6 V for 8 h yielded up to 62% PAA, following a diffusion-controlled two-electron reduction mechanism. Furthermore, the electrodes showed good repeatability, reproducibility of electrochemical responses, and excellent stability over 60 days. 2025 American Chemical Society -
Investigating the factors influencing health equity
This chapter determines various determinants of global health and wellbeing in relation to the Third Sustainable Development Goal of ensuring "Good Health and Well-being." It investigates the contribution of cultural, environmental, systemic, and socio-economic factors to health outcomes and the expected international cooperation towards closing the gaps in the health of nations. In the chapter, a qualitative methodology has been followed based on secondary data in the form of two peer-reviewed literature pieces. From there, the synthesis has been done to find an overview of global healthcare governance structures, their effectiveness, and major challenges.The study shows that while mechanisms of global health care governance are rated as being moderately effective, wide gaps in funding, transparency, and equitable access to services persist. Respondents also showed the need for increased international collaboration, especially on social determinants of health and strengthening health systems in low-and middle-income countries. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Investigating the heterogeneity of ESG investors: evidence from emerging economies
Purpose This study aims to examine the heterogeneity in behavioural characteristics of retail investors regarding sustainable investments, identifying patterns of convergence and divergence in sustainability-oriented market behaviours. By developing and validating specialized indices for environmental, social and governance (ESG) preferences, investor sentiments, performance perceptions, investment intentions, subjective norms, cognitive biases and greenwashing concerns, this research investigates how socio-demographic factors influence these indices through assessing heterogeneity across investor segments. Design/methodology/approach The authors develop and validate five ESG behavioural indices capturing multiple dimensions of sustainable investment behaviour. Data were collected through a comprehensive survey of 511 active retail investors in the Indian stock market. Heterogeneity analysis was conducted to identify variations in behavioural characteristics across the sample. The authors use quantile regression analysis to assess heterogeneity across demographic segments (age, income, gender, employment, education and investment experience), examining how relationships vary across the conditional distribution of ESG behavioural dimensions. Findings The analysis reveals heterogeneity in ESG investment behaviour across demographic segments. Age consistently reduces ESG engagement across all dimensions, while higher income enables selective sustainability preferences but increases investment irrationality. Gender creates divergent ESG orientations, with distinct patterns in environmental versus social priorities. Employment status and education facilitate ESG adoption through stability and social learning mechanisms, whereas investment experience paradoxically generates both sophisticated awareness and fundamental skepticism. Critically, performance perceptions emerge as the primary determinant mediating demographic influences on ESG preferences, establishing that sustainability investment behaviour is instrumentally rational rather than value-expressive in emerging markets. Practical implications The findings provide insights for enhancing sustainable investment participation. Financial institutions should develop targeted educational programmes to address knowledge gaps, as awareness significantly influences ESG preferences. Recognizing investor heterogeneity is essential younger, high-income investors respond to performance narratives, while older investors seek transparency. Addressing greenwashing concerns through standardized reporting and third-party certifications builds trust. Leveraging social influence through choice architecture and behavioural nudges can overcome decision-making barriers. Income-based strategies should include structured ESG portfolios for high-income investors prone to impulsivity, while providing educational support on stable returns for price-sensitive retail investors in emerging markets. Social implications The identified behavioural market failure in sustainable investing has important implications for the development of sustainable finance policies in emerging markets. Addressing the divergence in sustainability views could accelerate the transition towards more sustainable capital markets and contribute to broader sustainability goals. The findings highlight the need for targeted initiatives and policy interventions to bridge the gap between ESG preferences and actual investment behaviour. Originality/value This study advances sustainable finance through three contributions. First, the authors develop and validate multidimensional ESG behavioural indices capturing preferences, sentiments, perceptions, intentions and irrationality among retail investors. Second, the authors establish demographic heterogeneity as a structural market characteristic challenging the homogeneous investor assumption. Third, the authors theorize performance primacy as the fundamental mechanism driving ESG preference formation, demonstrating instrumental rationality rather than value-expression. These frameworks, validated through quantile regression analysis, provide actionable insights for policymakers and practitioners designing targeted interventions across demographically diverse investor segments in emerging markets. 2026 Emerald Publishing Limited -
Investigating the Impact of Emotional Contagion on Customer Attitude, Trust and Brand Engagement: A Social Commerce Perspective
Social Commerce networks are a powerful platform for spreading positive and negative emotional contagion, which is affecting users from different perspectives, i.e., psychology, attitude, buying decision. Emotional contagion is the phenomenon of having a person's emotions and behaviours directly trigger similar emotions or behaviour in other people. This research proposes a model to analyze the factors influencing emotional contagion that, in turn, impact consumer's attitudes, trust, and brand engagement. This study used a survey approach using a structured questionnaire. Primary data was collected from 174 social media users who shop online. The proposed model was tested using multiple regression analysis. The results demonstrated that effective content, visual or text, triggers customers' emotional contagion, influencing customer attitude and trust leading to brand engagement. The research study's findings can be used for deciding on content strategies of advertisements pertaining to social commerce. 2022 Academy of Taiwan Information Systems Research. All rights reserved.