Browse Items (16481 total)
Sort by:
-
CovalentOrganic Frameworks (COF): An Advanced Generation of Reticular Organic Polymers for Energy and Environmental Applications
Over the past decade, nanoporous materials have caught strong attention among the scientific community due to their tremendous potential in real-world applications. This chapter introduces one such group of nanoporous materials called Covalent Organic Frameworks or simply COFs. Here, we briefly covered the overview of synthesis of COFs and their post-synthetic modifications employing different linkages boron, imine, triazine linkages, etc. High porosity with adjustable periodic pores, well-defined structures, and tunable skeletons are some of the key properties of COFs. In account of such advantages COFs have been scientifically researched in applications like adsorption, separation, energy storage devices, sensing, and especially in degrading various pollutants like heavy metals As, Cd, Cr, Cu; radionuclides UO 2 2+, TcO 4 ?, Nd 3 +, I 2; organic waste dyes, pharmaceutical waste, organo-phosphorous retardants, etc. This chapter specifically describes the current advancement of COFs in segregating hazardous chemicals by sorption methods. One such example is heavy metal sorption in trace amounts from water which otherwise can pose a great threat to human health if not removed completely. Some of these ions include UO 2 2+. By utilizing weak chemical interactions for dye confinement within COF pores, industrial sewage water can be made dye free. ?-conjugated backbones found in aromatic COFs could function as a signal transducer, or active functional groups evenly spaced could act as a receptor, and the uniform pores can serve as mass transfer inducer/enhancers. As a result, COFs can facilitate facile and smooth ion transport by the virtue of redox activities within COF pores. This makes COF a robust and efficient material for energy applications particularly in designing batteries and supercapacitors. Thus, COFs could act as a potential electrodes both anode and cathode for energy storage devices. The current chapter also highlights the development in the field of environmental applications using COF materials. In a nutshell, this chapter gives the reader an idea about many fold advantages of COFs in the energy and environmental sector to combat rising environmental concerns and energy demands. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved. -
Coupling study of surface energy transmission in piezomagnetic tetrahedral laminate: a continuum mechanics analysis across a manifold substrate loaded by viscous gel
This paper examines Love-type energy transmission in a multilayered piezomagnetic tetrahedral structure (PMTS) and heterogeneous semi-space bar (HSS) structure with a viscoelastic gel (VL) on top. Energy transmission behaviour is examined in two physically important cases i.e. magnetically open (MO) and magnetically short (MS) circuit boundary. The main study focuses on the dispersion behaviour of phase velocity of a Love-type energy influenced by the combination of VL, PMTS and HSS. The dispersion relation for Love-type waves was determined analytically, and phase velocity graphs were plotted and analysed using numerical simulations using Mathematica software. A comprehensive study was conducted to acquire the effects of significant variables on phase velocity, including material heterogeneity, piezomagnetic coupling, and viscoelastic layer thickness. The research findings indicate the attenuation properties of the VL, PMTS and HSS materials in MO and MS conditions. Graphical comparisons highlight the piezomagnetic coupling caused the phase velocity curves to change consistently, demonstrating its significance in wave propagation. There was almost no difference in phase velocity between the magnetically open and short circuit scenarios, indicating that boundary constraints dont much affect how waves propagate. Phase velocity affects the PM coupling parameter. Higher material density leads to reduced phase velocity, emphasizing the role of density in influencing wave propagation. The model is confined to linear wave transmission and does not consider nonlinear influence. Moreover, the analysis is based on idealized material properties following heterogeneity. The design and advancement of energy harvesters, sensors, and wave manipulation instruments that employ PMTS with viscoelastic gel coatings can be aided by the studys conclusions. Effective usage of surface waves in these structures requires an understanding of their behaviour. This study offers a comprehensive analysis of surface wave propagation in a VL-PMTS-HSS composite structure. The comparative study of different rheological materials and the incorporation of magnetic effects contribute to the originality of the research. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. -
COUPLE STRESS EFFECT ON FERRO-CONVECTION TRIGGERED BY CHEMICAL REACTION IN A POROUS LAYER WITH SPARSE DISTRIBUTION; [????? ??????? ?????????? ?? ?????????????, ??????????? ???????? ???????? ? ????????? ???? ? ??????????? ??????????]
The study delves into the impact of couple stress on the commencement of convection in a porous material oriented horizontally. This layer contains a chemically reactive ferromagnetic fluid and experiences bottom heating. The investigation utilizes small perturbation methodology to explore and understand the impact of couple stress on the initiation of convection in this specific system. With the assumption of a non-autocatalytic exothermic reaction, eigenvalues are determined utilizing the Galerkin method. The analysis explores the effects of magnetic and couple stress parameters, as well as the Frank-Kamenetskii number. The observation indicates that the acceleration of the onset of ferroconvection is influenced by both magnetic forces and chemical reactions. Simultaneously, the presence of the couple stress component serves to stabilize the system. Moreover, when the nonlinearity of magnetization is sufficiently pronounced, the destabilization of the fluid layer is observed to be marginal. 2024 Oles Honchar Dnipro National University; -
Countering educational disruptions through an inclusive approach: Bridging the digital divide in distance education
The COVID-19 pandemic has created havoc across the globe, irrespective of governments, industries, and societies. The education sector is one of the most extensively affected by the global health crisis, manifesting expansive negative consequences to learners from various age groups and socioeconomic statuses. Despite the predicaments posed by the pandemic, academic institutions continue to provide education through a distance learning approach. However, the educational disruptions have underscored the lack of digital resources and competencies, excluding poor and unconnected students. Likewise, transitioning to remote education exposed the digital divide and inequalities that have been neglected for a long time. If the ultimate objective is to provide distance education, it is vital to devise solutions to problems faced by underprivileged students. This chapter investigates these challenges that impede the successful adoption of distance education and offers strategies to counter the disruptions as it seems apparent that online education is here to stay. 2022, IGI Global. All rights reserved. -
Counterfactual Demand Forecasting Using Multivariate LSTM
Demand forecasting is a key part of running operations efficiently in the fast-changing retail and online shopping industries. Regular methods that use statistics often have trouble handling the complex, changing, and time-based patterns found in actual sales data. This study introduces a new way to predict demand that uses multivariate Long Short-Term Memory (LSTM) models. The models take both the order of sales over time and other factors like prices and weather into account. Three model designs were tested: a simple straightforward model, a pure LSTM model, and a new hybrid LSTM model that mixes time-based data with steady economic factors. The combined hybrid model worked the best, by successfully balancing learning from sequences with keeping things stable. The study did experiments to see what would happen if weather conditions changed, like extreme heat, cold, storms, or dry spells and compared normal forecasts with these changed scenarios to see how demand would shift for products and overall sales. The results show that this new framework not only makes better predictions but also gives useful information on how weather events can affect store sales. By linking prediction with 'what if' analysis, this research moves demand forecasting from just predicting what will happen to helping make better decisions. 2025 IEEE. -
-
Counselling and psychological wellbeing of people living with HIV in Kerala
There is a dearth in the documentation of the benefits of HIV-counseiling in India. This article deals with how HIV-counselling facilitates the psychological wellbeing of Persons Living with HIV (PLHIV) in Kerala, India. About 269 PLHIV participated in the study. Meaning in Life Questionnaire, Illness Perception Questionnaire and Psychological Wellbeing Scale were used. It was noticed that counselling did not impact the scores on subscales such as Timeline, Emotional Representation and Consequences, while the scores on Self-Acceptance and Autonomy did not differ even with counselling. Findings call for a reconsideration of the way HIV-counselling is provided. -
Counseling and Psychotherapy in India: Radha's Story
This chapter discusses the case of Radha, who presented with depression and infertility. The focus of counseling was to alleviate Radha's psychological distress, help her redefine her identity, and explore alternatives to infertility in the individual and marital context. The counselor's suggestion to use traditional healing practices, especially Pranayama, greatly helped the client, as she used these practices as for preventive coping. Handling the sensitive issue of infertility was challenging for the counselor, especially dealing with the ingrained cultural resistance to infertility and the client's value system that contributed to her own psychological state. Classical approaches to counseling and psychotherapy are indeed useful but require contextualization and an understanding of eclectic practice. Along with eclectic practice, integration of alternative systems of care, such as traditional healing practices, is seen as essential in the practice of counseling and psychotherapy in India. 2015 by the American Counseling Association. All rights reserved. -
Counseling and psychotherapy in india: Professionalism amidst changing times
India is a melting pot of diversity in castes, communities, geographical regions, languages, religions, and practices, within a geographical area of 32,87,263 kilometers, with 28 states and seven union territories. Although the notions of counseling and psychotherapy are Western, the process of mentoring and assisting individuals through their developmental issues was already present in ancient models of care in India, such as the Guru Shishya System,1 the Joint Family Network,2 and traditional healing. Counseling and psychotherapy do not exist as completely distinct disciplines in India. Although counseling grew out of a strong guidance format and led to a proliferation of trained and lay counselors and psychotherapy arose from a strong theoretical clinical psychology background, these differences are blurred in society. As Arulmani (2007) points out: all that is termed as counseling today was embedded within a complex support system of social relationships (p. 70). Although these fields progressed, difficulties with accreditation exist. The Indian Association of Clinical Psychologists (IACP), along with other bodies such as the Counseling Association of India, offer discussions of matters related to psychotherapy counseling and clinical psychology, and provide the code of conduct in India (IACP, 1993). Varma (1982) highlighted seven distinct features of the Indian population that strongly infiuence how counseling and psychotherapy are practiced and received by clients: Mutual interdependence, lack of psychological sophistication involving introspective and verbal abilities, social distance between the doctor and the patient due to class hierarchies, religious belief in rebirth and fatalism and related accountability, guilt attributed to misdeeds in past life and social approval-related shame, and lower emphasis on confidentiality as society can be therapeutic allies. India is a collectivistic society wherein the self is relational (Roland, 2005), though recent socio-economic changes have resulted in a contradictory mix of traditional and modern elements in families (Murthy, 2003). Shah and Isaac (2005) note that relationship problems dominate themes in clinical interviews and in the process of individual, couple and family therapy sessions in India. 2013 by Taylor & Francis Group, LLC. -
Cotton-derived carbon fibers and MoS2 hybrids for efficient I3? reduction in bifacial dye-sensitized solar cells
In light of recent advancements, a novel platinum-free counter electrode for dye-sensitized solar cells (DSSCs) has been developed utilizing hierarchical MoS2 structures in conjunction with bio-derived carbon materials. Carbon fibers produced from cotton and molybdenum-doped carbon rods synthesized from melamine were fabricated through a straightforward hydrothermal process, which significantly enhanced both electrocatalytic activity and stability. The resulting counter electrodes exhibited notably low charge transfer resistances of 9.45 ? and 6.43 ?, thus facilitating efficient redox reactions. Consequently, DSSCs incorporating these materials achieved remarkable power conversion efficiencies of 7.04 % and 7.58 %, surpassing traditional platinum-based counter electrodes, which recorded an efficiency of 7.50 %. Furthermore, the high optical transmittance of these materials renders them suitable for bifacial DSSCs, broadening their potential applications. This research underscores the promise of bio-inspired carbon composites as sustainable and efficient alternatives in solar energy technologies, offering an environmentally friendly substitute for conventional noble metal electrodes. 2025 Elsevier Ltd -
Cost-enabled QoS aware task scheduling in the cloud management system
Maintaining the quality of service (QoS) related parameters is an important issue in cloud management systems. The lack of such QoS parameters discourages cloud users from using the services of cloud service providers. The proposed task scheduling algorithms consider QoS parameters such as the latency, make-span, and load balancing to satisfy the user requirements. These parameters cannot sufficiently guarantee the desired user experience or that a task will be completed within a predetermined time. Therefore, this study considered the cost-enabled QoS-aware task (job) scheduling algorithm to enhance user satisfaction and maximize the profit of commercial cloud providers. The proposed scheduling algorithm estimates the cost-enabled QoS metrics of the virtual resources available from the unified resource layer in real-time. Moreover, the virtual machine (VM) manager frequently updates the current state-of-the art information about resources in the proposed scheduler to make appropriate decisions. Hence, the proposed approach guarantees profit for cloud providers in addition to providing QoS parameters such as make-span, cloud utilization, and cloud utility, as demonstrated through a comparison with existing time-and cost-based task scheduling algorithms. 2021 - IOS Press. All rights reserved. -
Cost-effective route to nanodiamonds from low-rank coal and their fluorescent & dielectric characteristics
The synthesis of nanodiamonds from abundant and inexpensive precursors has recently piqued the curiosity of researchers. It has the potential to significantly reduce the cost of nanodiamonds and open up a plethora of new applications. In this work, fluorescent nanodiamonds with smaller particle sizes with rich surface functionality are synthesized from low-grade coal lignite by employing a facile acidic oxidation and ultrasonication approach. The extracted nanodiamond particles are hydrophilic and display high excitation-dependent fluorescence in the aqueous medium. The excitation-dependent fluorescence can be ascribed to the collaboration and competition of the OH and COOH functional groups. The as-synthesized nanodiamonds also show good dielectric permittivity and ac conductivity over a wide frequency range at room temperature. The present research opens up the possibility of mass production of nanodiamonds on the industrial scale from a low-cost precursor. 2021 -
Cost-effective cryptographic architecture in quantum dot cellular automata for secured nano-communication
Quantum dot cellular automata (QCA) provide rapid computational efficiency, high density and low power consumption, which is an alternative for CMOS technology. In digital world, cryptography is an important feature to protect digital data. To ensure the data protection in nano-communication, a QCA-based cryptographic architecture is proposed in this article. In the proposed design, the encryption and decryption are done with the help of random keys which is produced by the pseudo random number generator (PRNG). In this paper, architectural component of cryptographic architecture includes XOR block, 1 to 4 de-multiplexer and PRNG, which are realised using QCA. Finally, an integration of the individual components through clock zone-based crossover, lead to the generation of a novel cryptographic architecture. This design achieves low cost compared to the existing literature, as it uses minimum number of majority gate and inverters with clock zone-based crossover. Copyright 2024 Inderscience Enterprises Ltd. -
Cost Sensitive based Support Vector Machine for Energy Efficient Clustering and Routing
Wireless Sensor Networks (WSNs) are ideal for applications requiring rapid deployment, as they operate without the need for a pre-existing network infrastructure. WSNs have constrained capacity to manage large volumes of data, and processing, transmitting as well as receiving this data consumes substantial energy. On account of their constrained power usage and bandwidth, sensors are unable to transmit each gathered information to a Base Station (BS) or sink for analysis. Thus, this research proposes the Cost Sensitive based Support Vector Machine (CS-SVM) approach for the energy efficient clustering and routing. The proposed approach minimizes an energy consumption at data transmission and clustering, extending network lifetime through effectively selects CHs according to energy levels as well as node distribution. The CH selection considers the three important fitness functions such as distance from sink to CH, distance from CH to sensor nodes and residual energy. Then, the routing considers the two important fitness functions. The various performance indices are considered to validate the effectiveness of proposed method. The simulation outcomes proven that the proposed CS-SVM approach attains the better energy consumption of 8.32J as compared to the previous approach named Distributed Energy-efficient two-hop-based Clustering and Routing (DECR). 2025 IEEE. -
Cost Effective Synthesis of Carbon Nanoparticles and Exploring the Fluorescence and Electrochemical Applications
Graphene-based materials and composites for sensing are a fascinating field in material science research that is experiencing rapid advancement. But the applications of graphene-based materials were often hampered by their high production cost, low yield, expensive and scarce precursors, harmful processing techniques, etc. Coal is made up of islands of nanometer-sized crystalline carbon domains linked by a 3D network of amorphous aliphatic carbon and polymerized aromatic hydrocarbons that can be extracted using mild oxidizing agents. In this context, the present study reports the successful usage of low-grade coal, lignite as an ideal precursor for the production of carbon nanostructures for various sensing applications. This research is divided into three parts where value addition to coal is being done along with finding solutions to three major environmental issues: fluorescence sensing of copper ion; noninvasive glucose fluorescence sensing; simultaneous electrochemical sensing of heavy newlinemetal ions cadmium and lead. In the first study, carbon nanostructures were synthesized from lignite by a simple, scalable, and economical technique and the as-prepared carbon nanostructures, namely LC1, LC2 and LC3, demonstrated excellent fluorescence characteristics. LC3 exhibited remarkable copper ion sensing with a dual linear range with limits of detection (LOD) as low as 1.32 pM and 2.35 pM, with limits of quantification (LOQ) 4 pM and 7.14 pM respectively. The accuracy of the manufactured sensor was shown by the recovery rates of copper ions, which varied from 98.18% to 101.2% with Relative newlineStandard Deviations (RSDs) below 0.4%. The results are captivating, implying that newlinethese lignite derived carbon nanostructures could be employed to efficiently and newlineeconomically detect low concentrations of copper ions in water. In the second study, carbon nanoribbons and nanosheets with superior fluorescence were synthesized from lignite, using a facile chemical oxidation process. -
-
Cost effective porous areca nut carbon nanospheres for adsorptive removal of dyes and their binary mixtures
Novel porous nanospheres from areca nuts (ACNPs) were synthesized via one-step pyrolysis without the use of any chemical treatment and the materials were used as adsorbents for the removal of cationic methylene blue (MB) and anionic methyl orange (MO) as well as their binary mixtures. Around, 67 tonnes of areca nut biowaste is generated every year which are then burnt due to their slow rate of decomposition resulting in higher carbon footprints. Biosorbents are generally a preferable alternative for dye adsorption but involve chemical modification for surface enhancement and complex sample treatment. In this work, ACNPs, were investigated for their efficiency in the raw form and were characterized by SEM, EDS, FTIR, XRD, and BET techniques before and after subjecting to the dye adsorption studies. The BET analysis of the adsorbents showed a high specific surface area of 693.8 m2/g when prepared at 1000 C, while the N2 adsorption-desorption plot showed type-IV isotherm, suggesting the microporous nature of the carbon matrix. Batch equilibrium studies showed the removal efficiency of >95% for both the dyes and their binary mixtures under the optimum conditions of 0.15 g/L dosage, 10 ?M concentration and contact time of 70 min. Due to the synergistic effects of the binary dyes, higher removal efficiency of MB compared to MO was observed in the binary mixture. Adsorption results were tested using Langmuir, Freundlich, Temkin, Redlich-Peterson, and Elovich isotherms to assess the best fit of the models. The qm value of MB was found to be 97.37 mg/g, while that of MO was 71.22 mg/g which is higher compared to individual dye components having lower values of 86.12 mg/g and 50.35 mg/g, respectively. Extended Langmuir and Jain and Snoeyink isotherms were used for binary data interpretation. The kinetic results showed good agreement with the Pseudo-second order equation, indicating internal diffusion. The possible mechanism involved electrostatic and ?-? interactions between the dye molecules and ACNPs. This approach is comprehensible and cost effective and can be utilized for dye removal in textile industries. 2023 Elsevier Inc. -
Cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture
The conventional methods of smart farming consume a significant percentage of the resources such as water, electricity, and manpower. This approach demands more time, money, and effort. The state of the art drip irrigation methods make use of the solenoid valve to control the water flow. The problem with such a system is reflected in its power consumption which is a significant factor for large-scale demands. The method proposed in this paper addresses this problem by developing an automated drip irrigation system that replaces components used in conventional methods with its economical counterparts in the market. A system using Node MCU, DC submersible motor, and soil moisture sensor is developed to automate the irrigation process ensuring efficient water and energy consumption. Since the proposed system utilizes economically cheaper components, it provides an upper edge over other systems in terms of expenditure and in turn economically feasible for large-scale demands. A mobile application is also developed to control, monitor, and schedule irrigation processes. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
COSMOLOGICAL DIAGNOSTICS OF BIANCHI TYPE-II BARROW HOLOGRAPHIC DARK ENERGY UNIVERSE; [????????I??? ?I????????? ????????I???? ?????? ?????I? ?????I?? ?????? ???? ?I???I-II]
In this paper, we investigate a Bianchi type II anisotropic cosmological model in the framework of Barrow holographic dark energy, considering both the Hubble horizon and GrandaOliveros scale as infrared cutoffs. To obtain exact solutions of the Einstein field equations, we assume a suitable relation between the metric potentials. Using Hubble cosmic chronometer data, we constrain the model parameters and obtain the best-fit values b4= ?0.091+0.013 ?0.012and H0= 72.32.7 km s?1Mpc?1The H(z) fit shows excellent agreement with observational data and overlaps with ?CDM at low redshifts, with mild deviations at higher z. The physical behaviour of the model is examined through a detailed analysis of cosmological parameters. The deceleration parameter q(z) reveals a smooth transition from an early decelerating phase to the present accelerating epoch. The equation of state parameter ?deshows quintom-like dynamics, evolving across the cosmological constant boundary and entering the phantom regime, consistent with late-time acceleration. Stability is tested using the squared sound speed vs2, which remains positive in the recent Universe, ensuring classical stability. The ?de?dephase plane indicates that both models lie in the freezing region, corresponding to faster acceleration. The statefinder diagnostics (r,s) and (r,q) further confirm the transition from the standard cold dark matter dominated phase to a de Sitter-like attractor, with trajectories showing clear deviations from ACDM. U.Y.D. Prasanthi, D. Tejeswararao, Diddi Srinivasa Rao, Y. Aditya, D. Ram Babu, 2026. -
Cosmic structure growth and perturbation analysis in logarithmic f(Q) gravity
In this work, we explore a cosmological model within the framework of modified gravity, specifically a logarithmic form of f(Q) gravity. Using recent observational datasets including RSD and DESI, we constrain the model parameters via Markov Chain Monte Carlo (MCMC) techniques. Our analysis focuses on both background and perturbation-level cosmological diagnostics, evaluating the evolution of cosmographic parameters and the growth rate of structure through f?8. The results demonstrate consistency with observational data, particularly supporting a quintessence-like accelerated expansion. Additionally, the model addresses the S8 tension and provides insights into the late-time behavior of dark energy. The Author(s) 2025.