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Effects of Climate Change on Natural Resources and Its Management Using Computer-Aided Techniques
The fast-paced climate change produces worse resource stress because it damages freshwater reservoirs and forests with arable land and biodiversity while creating major sustainability issues for urban spaces. Food shortages result from global warming along with uneven rainfall patterns and powerful weather systems that further intensify resource-related problems throughout entire ecosystems. Resolving these challenges requires computer technology solutions combining Quantum Computing (QC) with Machine Learning (ML), Geographic Information Systems (GIS), and Artificial Intelligence (AI) to optimise resources and develop predictive analyses as well as strengthen climate resilience strategies. AI technologies integrated with quantum algorithms give birth to improved climate modelling systems, which trigger instant emergency actions to control disasters while urban requirements shift. Climate risk reduction benefits from two successful techniques: NASA employs them through the Earth Observing System (EOS) while Google deploys their AI-based flood prediction model in India and Bangladesh. Environmental governance finds its legal and policy basis in two primary international agreements, namely the EU's Green Deal and the United Nations SDGs and the Paris Agreement (2015). Research evidence demonstrates that combined disciplinary methods effectively verify how computer-based processes solve sustainable urban expansion problems. The research indicates that climate resilience reaches its optimal potential through international establishments of standardised ethical frameworks and rules for innovative technology systems. Also, the strategic recommendations regarding AI implementation for natural resource defence during climate change need support from policymakers, urban planners, and researchers who must perform these tasks. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Effects of coronal mass ejection on PSR J1022+1001 and possible mode change of PSR J2145 - 0750 in the InPTA DR2
The Indian Pulsar Timing Array (InPTA) has recently published its second data release (DR2), comprising the timing analysis of seven years of data on 27 millisecond pulsars (MSPs), observed simultaneously in the 300 - 500 MHz (band 3) and 1260 - 1460 MHz (band 5), using the upgraded Giant Metrewave Radio Telescope (uGMRT). The low-frequency data, particularly in band 3, is highly sensitive to propagation effects such as dispersion measure (DM) fluctuations, which can be imprints of some astrophysical phenomena (scientific outliers). Here, we analyze the two outliers of possible astrophysical origin coming from the band 3 DM time series of two pulsars: PSR J1022+1001, with an ecliptic latitude of ?0.06?, and PSR J2145 - 0750, one of the brightest MSPs, with multi-component profile morphology. Our study reveals compelling evidence for a coronal mass ejection (CME) event traced in the data of PSR J1022+1001, and reports evidence for a potential mode-changing event in PSR J2145 - 0750. By contrasting these two cases, we show that DM fluctuations due to CME interacions and intrinsic mode-changing events produce distinct observational signatures, enabling a physically informed classification of scientific outliers in PTA datasets. Extending the analyses presented here to the full sample of InPTA-DR2 pulsars is expected to reveal additional CME events, and possible mode-changing events. Such detections will not only improve our understanding of solar and pulsar magnetospheric plasma interactions but will also enable more accurate modelling of DM variations, leading to improved pulsar timing solutions, which are crucial for high-precision Pulsar Timing Array (PTA) science. 2026 Elsevier B.V. -
Effects of dark matter in red giants
Dark matter (DM) which constitutes five-sixths of all matter is hypothesized to be a weakly interacting non-baryonic particle, created in the early stages of cosmic evolution. It can affect various cosmic structures in the Universe via gravitational interactions. The effect of DM in main sequence stars and stellar remnants like neutron stars and white dwarfs has already been studied. Red giant phase is a late stage of the evolution of stars. In this work, we study, low-mass red giants stars with admixture of DM and how this can effectively change the intrinsic properties of red giants such as their luminosities, temperatures and lifetimes. 2020 Elsevier B.V. -
Effects of dark matter in star formation
The standard model for the formation of structure assumes that there existed small fluctuations in the early universe that grew due to gravitational instability. The origins of these fluctuations are as yet unclear. In this work we propose the role of dark matter in providing the seed for star formation in the early universe. Very recent observations also support the role of dark matter in the formation of these first stars. With this we set observable constraints on luminosities, temperatures, and lifetimes of these early stars with an admixture of dark matter. 2019, Springer Nature B.V. -
Effects of dark matter on the upper bound mass of neutron stars
Observations have indicated that we do not see neutron stars (NS) of mass near the theoretical upper limit as predicted. Here we invoke the role of dark matter (DM) particles in star formation, and their role in lowering the mass of remnants eventually formed from these stars. Massive stars can capture DM particles more effectively than the lower mass stars, thus further softening the equation of state of the remnant neutron stars. We also look at the capture of DM particles by the NS, which could further soften the upper mass limit of NS. The admixture of DM particles would be higher at earlier epochs (high z). 2020 Elsevier B.V. -
Effects of DESI and GW observations on f(T) gravitational baryogenesis
Baryogenesis refers to the physical process responsible for generating the observed baryon asymmetry in the early universe. The presence of a nonzero baryon number density suggests a surplus of matter over antimatter. In this study, a novel approach is proposed to verify the direct consequences of late-time observations on gravitational baryogenesis. The incorporation of two key data sets, DESI and gravitational wave observations, makes the analysis more intriguing. In the teleparallel framework, the methodology connects the primordial time to the late time. The intermediating epochs are also investigated with the help of the deceleration parameter. Our results show that the net remaining asymmetry yields a baryon-to-entropy ratio in excellent agreement with observations. 2025 The Authors. -
Effects of Dispersion on Thermal Conductivity and Viscosity in Biomass-Based Nano Systems
Ensuring the long-term stability of nanofluids (NFs) remains a challenge due to nanoparticle aggregation, precipitation, and poor dispersion. Zeta potential (ZP) plays a crucial role in preventing agglomeration and enhancing stability. This study investigates, for the first time, the combined effect of stability and thermal conductivity (TC) enhancement in nanofluids based on biomass-derived carbon nanospheres (CNSs). CNSs synthesized from eight different biowaste sources exhibited ZP values ranging from ?17.0 to ?45.6 mV, influencing dispersion and fluid behavior. These NFs demonstrated exceptional stability for up to 40 days without surfactants and achieved a TC enhancement of up to 111.8%. The research also explores the influence of ZP on TC, dynamic viscosity (V), and thermal diffusivity. The NFs displayed shear-thinning, non-Newtonian behavior, with viscosity values depending on CNS concentration, reaching 0.0000000302 Pas. The effect of pH (312) on stability and TC revealed maximum performance at pH 8, while optimal TC enhancement was achieved at 0.1 wt% CNS concentration. This study bridges the gap between laboratory research and industrial applications, offering sustainable, low-cost, and high-efficiency coolant solutions for the automotive sector. It supports seven Sustainable Development Goals (SDGs) through an innovative waste-to-wealth approach. 2025 Wiley-VCH GmbH. -
Effects of Euphorbia thymifolia and Euphorbia hirta leaf extracts on membrane-bound, mitochondrial enzymes and lipid profile of carbon tetrachloride-induced hepatotoxicity in rats
The present investigation was aimed to identify the potentiality of Euphorbia thymifolia Linn. and Euphorbia hirta Linn. leaf extract on the toxin-induced (carbon tetrachloride- CCl4) Albino Wistar rats. The animals were grouped into 7 categories including control (basal diet, G1), CCl4-induced (1.5 mL/kg, b.w., i.p.) (G2), G1 administrated with 300 mg/kg b.w., extract of E. thymifolia (G3) and E. hirta (G4), G2 administrated with 300 mg/kg b.w., extract of E. thymifolia (G5), E. hirta (G6), and standard drug (silymarin 25 mg/kg b.w.; G7) for 21- days trial period with each group contains 6 rats. The samples were collected and the following parameters including mitochondrial enzymes, different ATPase and lipid profiles were analyzed. The membrane-bound enzymes, the mitochondrial enzymes levels and the lipid profiles were reduced in the toxin-induced rats but the levels of enzymes were restored, significantly increased and lipid profiles are returned to the normal in the treatment of both extracts. 2022 Visagaa Publishing House. -
Effects of Financial and Trade Globalization on Total Factor Productivity Growth in Emerging Economies
This article considers the annual sample from 1984 to 2019 in a panel dataset of 20 emerging economies (i.e. Brazil, Chile, China, Colombia, the Czech Republic, Egypt, Greece, Hungary, India, Indonesia, Kuwait, Malaysia, Mexico, Peru, the Philippines, Poland, Saudi Arabia, South Africa, Thailand, and Turkey) given by Morgan Stanley Capital International (MSCI), to explore the effects of trade and financial globalization on total factor productivity (TFP) growth. It considers domestic credit to the private sector by banks as a percentage of gross domestic product (GDP), labor force, and total gross fixed capital formation as a percentage of GDP as control variables in the total factor productivity function. The article considers the direct effects of trade and financial globalization. It also checks the moderating impact of domestic credit on TFP. The long-run estimation shows that domestic credit, labor force, and financial globalization reduce TFP growth, whereas investments and trade globalization enhance it. Interestingly, their moderating effect enhances TFP in the long run. The policy implications are also discussed. 2023 Taylor & Francis Group, LLC. -
Effects of global warming, time delay and chaos control on the dynamics of a chaotic atmospheric propagation model within the frame of Caputo fractional operator
The Lorenz-84 climate model is a simplified mathematical model that describes the chaotic behavior of atmospheric convection and its impact on global climate patterns. It captures the presence of chaotic behavior in the motion of westerly wind and helps understand the concept of sensitivity to initial conditions. But as observed over the years, the westerlies are gaining more strength due to the rise in atmospheric temperature. In this work, we have modified the old model to observe the changes in the behavior of the system due to global warming and time delay. The modified model has been generalized using Caputo fractional derivative to provide a more accurate representation of the system with memory effect and non-local behavior. The stability of the new model has been tested at all the equilibrium points. Using Picard's operator and Banach's Fixed Point theorem, it has been shown that there exists a unique and bounded solution for the new model. It has been observed that the sole effect of global warming makes the system gradually unstable from chaotic as the fractional order ? is decreased from 0.80 to 0.50. Also, a shift in the bifurcation point has been noticed for the new model. All three Lyapunov exponents have been calculated for different fractional orders to confirm the presence of chaos in the modified model as well. A chaos control law has been constructed for the modified chaotic model using the sliding mode control theory. Interestingly, the chaos disappears completely when the effect of time-delay is considered in the modified model. Since our proposed time-delayed modified model shows an asymptotically stable nature for all fractional orders ? less than 0.85, it is better suited to make more accurate predictions about the strength of the westerlies. 2023 Elsevier B.V. -
Effects of green energy and productivity on environmental sustainability in BRICS economies: The role of natural resources rents
By developing a theoretical framework, this paper constructs two models for environmental sustainability, each with an ecological footprint and CO2 emissions. The empirical study considers panel data from Brazil, Russia, India, China, and South Africa (BRICS) based on the need for consistent economic growth with minimum environmental cost in these five major emerging countries. The data period ranges from 1994 to 2018. According to the findings from several estimation techniques, total factor productivity and renewable energy consumption improve environmental quality. However, natural resources rents and economic growth are detrimental to environmental sustainability. Therefore, it is concluded that the mere blind use of natural resources to achieve economic growth without raising productivity and green energy is ecologically unsustainable. Appropriate policies are discussed to promote the productivity of governments via emerging technologies and digitalisation. 2024 Elsevier Ltd -
Effects of hall current on transient flow of dusty fluid with nonlinear radiation past a convectively heated stretching plate
Influence of Hall current on flow and heat transfer of dusty fluid over a convectively heated stretching plate in the presence of nonlinear thermal radiation is explored in this paper. The unsteadiness in the flow and temperature fields is because of the time-dependent stretching velocity and surface temperature. Suitable similarity transformations are used to convert the governing partial differential equations of momentum and thermal energy to a system of nonlinear ordinary differential equations. Consequent equations are solved by using shooting method. The details of the velocities, temperatures, local Nusselt number as well as local skin friction for various parameters such as unsteadiness parameter, thermal radiation, Hall effects, Biot number, Eckert number, Prandtl number and magnetic parameter are presented graphically and discussed in detail. 2018 Trans Tech Publications, Switzerland. -
Effects of light-emitting diode (LED) light sources on in vitro protocorm-like body (PLB) proliferation, plantlet regeneration, and ex vitro acclimatization in Cymbidium Snow Pearl
One of the key environmental elements that influences plant growth in vitro is light quality. Currently, a variety of horticultural plants are regenerated in vitro using light-emitting diode (LED) light sources to produce healthy, high-quality plants that can adapt well to ex vitro transplantation conditions. Investigating the impact of various spectrum light sources at various phases of in vitro regeneration is essential, though. The objective of this research was to examine how red (R), blue (B), white (W), red plus blue (RB, 1:1), red, green (G), and blue (RGB, 1:1:1) LEDs affect the growth of protocorm-like bodies (PLBs), shoot regeneration, and the rooting stages of shoots. The findings showed that B-LEDs were accountable for PLB proliferation, whereas R-LEDs were responsible for increased shoot regeneration and improved growth matrices with shoots and plantlets as compared to other LED treatments. Plant height, leaf count, and dry matter percentage were all higher in the plantlets that were regenerated under R-LED. On the other hand, more root regeneration and longer roots were caused by the B-LED treatment. Plants cultivated under RB LEDs had greater levels of carotenoid pigments, total chlorophyll, chlorophyll a, and chlorophyll b. When compared to other treatments, photosynthetic fluorescence characteristics like maximum quantum yield of PSII (Fv/Fm), photochemical quenching coefficient (qP), relative electron transport in PSII (ETRII), and non-photochemical quenching (NPQ) were lower in plants cultivated under R-LED treatment. The best LED for in vitro Cymbidium Snow Pearl plant regeneration was as follows: The B-LED was good for PLB proliferation, the R-LED was appropriate during shoot regeneration, and the growth of plantlets, the physiological characteristics such as chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid content and number of epidermal cells per unit area were optimum with the plants grown under RB LED light. The Author(s), under exclusive licence to Korean Society for Horticultural Science 2026. -
Effects of Macro Economic Indicators on Foreign Portfolio Investments
In this study, both institutional and retail investors were observed making exits and entries based on macroeconomic data, utilizing measurable indicators such as GDP, inflation, bank rates, foreign exchange rates, trade volume on the national stock exchange, and portfolio investments. Employing a Vector Error Correction Model (VECM) in an econometric analysis, the study found a significant association between macroeconomic indicators and portfolio investments in India. Investors followed a discernible pattern of entering and exiting markets, with economic growth fostering greater investments. Notably, GDP, NSE Volume, and bank rates were identified as variables impacting foreign portfolio investments. In the long run, GDP positively affected foreign portfolio investments, while inflation and foreign exchange rates exhibited a detrimental influence, leading to decreased portfolio investments. Foreign Institutional Investors, prioritizing profits over business operations, focused on market sentiments, directing investments towards economies with potential performance and resulting in a higher volume of capital inflow. Overall, the study concludes that a robust economic condition attracts superior foreign portfolio investments. 2024 IEEE. -
Effects of Mindfulness-based Intervention on Academic Anxiety: Enhancing Well-being of Rural Adolescents
Academic worry has been reported to be highly prevalent among adolescents, and it negatively affects their well-being. In comparison to urban adolescents, rural adolescents experience a lesser degree of academic anxiety. At the same time, very little attention is given to this problem of rural adolescents due to the lack of resources to provide such type of care. The poor resources-driven rural area requires a compact, more easily comprehensible and more inclusive intervention programme that can aid a group of students at a time and be more beneficial and effective. Therefore, in this study, mindfulness-based intervention (MBI) is used, which is indigenous, inclusive and compact, as an intervention to enable adolescents to deal with academic anxiety and improve their well-being. In this study, 47 rural school adolescents with academic anxiety underwent an 8-week MBI after the initial screening process and assessment with the Children and Adolescent Mindfulness Measure and WarwickEdinburgh Mental Wellbeing Scale. Post and 2-month follow-up assessment after intervention showed a significant decline in academic anxiety and an increase in mindfulness and well-being. 2025 SAGE Publications. -
Effects of mindfulness-based strengths practice (MBSP) among women undergraduates in enhancing positive mental health
The study investigates the effectiveness of an 8-week Mindfulness-Based Strengths Practice (MBSP) intervention to enhance the positive mental health of women undergraduates by focusing on the development of character strengths, flourishing, mindfulness, and the reduction of psychological distress. Using a quasi-experimental design, the study involved 162 undergraduate women (mean age 18.55) from rural backgrounds; 80 volunteered for intervention and 82 for the control group. Participants completed pre-, post-, and three-month follow-up assessments, and the results showed significant gains in mindfulness, PERMA (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment) flourishing, character strengths, and a reduction in psychological distress, with moderate to large effect sizes. A follow-up after three months showed persistent effects in certain aspects. This investigation among the Indian population contributes to the literature on MBSP in an Eastern context. It underscores the effectiveness of MBSP as a positive psychological, mindfulness-based intervention on college campuses for promoting well-being and mitigating mental health challenges among college students. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Effects of nitrogen, sulphur, and temperature treatments on the spectral, structural, and electrochemical characteristics of graphene oxide for energy storage applications
The structural and surface modifications have been studied on the hydrothermally Nitrogen (N) and Sulphur (S) doped and thermally reduced at 350 C nitrogen-doped, nitrogen-sulfur-doped graphene oxides. Raman spectra confirmed the reduction of graphene oxides by shifts in position and intensity variations of the D and G bands. EDX and mapping images revealed the carbon-oxygen ratio as well as the doping of nitrogen and sulphur into two-dimensional graphene oxide. The electrochemical properties of undoped and doped graphene oxides were investigated using a three-electrode system using a 1 M KOH electrolyte. It shows how doping, and reduction improve current conduction in graphene oxides. The specific capacitance of N,S-rGO after being synthesized and reduced at 350C was 930 Fg?1 and 1059 Fg?1, respectively, according to cyclic voltammetry results. The N-rGO specific capacitance was found to be similar, with 850 Fg?1 and 891 Fg?1, respectively, for the as prepared and reduced at 350C. The charge-discharge analysis, cycle stability, and impedances for the applied frequency ranges of undoped and doped graphene oxides for energy storage applications have all been estimated and discussed. 2023 -
Effects of non-uniform temperature gradient and magnetic field on the onset of convection in fluids with suspended particles under microgravity conditions
The effects of a non-uniform temperature gradient and magnetic field on the onset of convection driven by surface tension in a horizontal layer of Boussinesq fluid with suspended particles confined between an upper free / adiabatic boundary and a lower rigid / isothermal boundary have been considered. A linear stability analysis is performed. The microrotation is assumed to vanish at the boundaries. The Galerkin technique is used to obtain the eigenvalues. The influence of various parameters on the onset of convection has been analysed. Six different non-uniform temperature profiles are considered and their comparative influence on onset is discussed. It is observed that the electrically conducting fluid layer with suspended particles heated from below is more stable compared to the classical electrically conducting fluid without suspended particles. The critical wave number is found to be insensitive to the changes in the parameters but sensitive to the changes in the Chandrasekhar number. The problem has possible applications in microgravity space situations. -
Effects of Peer Monitoring on Student Stress Level of College Students Based on Multi-Layer Perceptron Approach
The classroom is just one of many places where the proposed approach encounter stress. Previous studies have shown that college students experience high rates of stress. It is not known if the Student Stress Inventory-Stress Manifestations (SSI-SM) is useful in identifying stressors and evaluating stress manifestations among college students. To this end, it was created a college-specific version of the Student Stress Inventory-Stress Manifestations (SSI-SM) and administered it to students to determine its validity and reliability. These procedures comprise the proposed technique and include preprocessing, feature selection, and model training. It uses Normalization as a preprocessing approach. The term' normalization' refers to the procedure of rescaling or modifying data so that all categories have the same variance. The proposed approach employed linear discriminant analysis as a means of selecting features. The models are then trained using MLP after information gain has been used to choose relevant features. The proposed approach achieves better results than the two leading alternatives, CNN and RNN. 2024 IEEE. -
Effects of Performance and Target Pressure on the Psychological Well-Being of Corporate Employees
The main objective of this study is to analyze the work stress on the performance of the employees effectively and to analyze the effect of work stress on the well-being of the employees. The influence of psychological well-being and the capability to tackle workload in the company environment. The main objectives are better job performance which helps in achieving higher productivity. Individual objectives and the organizational objectives of the company assists in the overall performance and gross achievement of the organization. The significant well-being of the overall performance of the employee, their influence, and the management of stress of the performance of the employees. This analysis showcases the impact of work stress on the growth of the employees, which effects performance and significant growth to employee development. 2023, Journal for ReAttach Therapy and Developmental Diversities. All Rights Reserved.