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Laser Scribing Turns Plastic Waste into a Biosensor via the Restructuration of Nanocarbon Composites for Noninvasive Dopamine Detection
The development of affordable and compact noninvasive point-of-care (POC) dopamine biosensors for the next generation is currently a major and challenging problem. In this context, a highly sensitive, selective, and low-cost sensing probe is developed by a simple one-step laser-scribing process of plastic waste. A flexible POC device is developed as a prototype and shows a highly specific response to dopamine in the real sample (urine) as low as 100 pmol/L in a broad linear range of 10?1010?4 mol/L. The 3D topological feature, carrier kinetics, and surface chemistry are found to improve with the formation of high-density metal-embedded graphene-foam composite driven by laser irradiation on the plastic-waste surface. The development of various kinds of flexible and tunable biosensors by plastic waste is now possible thanks to the success of this simple, but effective, laser-scribing technique, which is capable of modifying the matrixs electronic and chemical composition. 2023 by the authors. -
Latency Reduction and Input Prediction for Cloud Gaming Clients
Cloud gaming enables access to high-quality games on thin clients by streaming rendered content from remote servers, but network-induced latency remains a critical barrier to responsive gameplay. This paper presents a browser-based system that profiles user input in real-time, employs a lightweight machine learning model to predict actions, and dynamically compensates for lag by speculative input. Our solution reduces perceived lag by up to 25% and maintains a 94%+ prediction accuracy, fully within a free-tier cloud environment. Compared to traditional infrastructure-based approaches, our method imposes no proprietary hardware requirements and offers platform-wide scalability. 2025 IEEE. -
Lateral Load Behavior of Unreinforced Masonry Spandrels
Spandrels, are usually classified as secondary elements and even though their behaviour has not received adequate focus unlike piers, they significantly affect the seismic capacity of the structure. Masonry spandrels are often damaged and the first structural components that crack within Unreinforced Masonry structures. Despite this, existing analytical methods typically consider a limit case in which the strength of spandrels is either neglected, considered to be infinitely rigid and strong or treated as rotated piers. It is clearly evident that such an assumption is not plausible. Hence, reliable predictive strength models are required. This thesis attempts to re-examine the flexural behaviour of spandrels and proposes an analytical model. The model is based on the interlocking phenomena of the joints at the end-sections of the spandrel and the contiguous masonry. The proposed analytical model is incorporated within a simplified approach to account for the influence of spandrel response on global capacity estimate of URM buildings. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Lattice Distortion Suppressed in MoO3 by Incorporating Minor Impurities of rGO: Strategy for Enhanced Electrocatalytic Hydrogen Evolution
Structural stability is critical for improving the electronic properties and charge-transfer efficiency of the catalyst, directly contributing to its enhanced electrocatalytic hydrogen evolution reaction (HER) activity. In this study, orthorhombic MoO3 and rGO-MoO3 catalysts were synthesized by using a straightforward hydrothermal method, and they demonstrated excellent activity for electrochemical water splitting for hydrogen generation. In this study, conventional laboratory techniques, except for Raman spectroscopy, were unable to clearly detect or differentiate the presence and impact of a very small amount (0.5%) of rGO in MoO3. However, X-ray absorption fine structure analysis performed at the synchrotron facility provided definitive confirmation of the influence of minor rGO incorporation in this study. The analysis revealed that the incorporation of rGO suppresses lattice distortions and enhances the stability of local atomic coordination within the MoO3 framework. The Tafel slopes for MoO3 and rGO-MoO3 composite nanorods are 205 and 173 mV/dec, indicating improved reaction kinetics with rGO incorporation. The estimated specific capacitance values from the linear fit of CV at different scan rates are 2.0 mF/cm2 for MoO3 and 6.7 mF/cm2 for the rGO-MoO3 composite nanorods. Therefore, this study provides valuable insights into tuning the structural properties of materials and enhancing the HER performance through the incorporation of trace amounts of carbon-based materials, effectively suppressing lattice distortions. 2025 American Chemical Society. -
Lattice thermal conduction in cadmium arsenide
Lattice thermal conductivity (LTC) of cadmium arsenide (Cd3As2) is studied over a wide temperature range (1-400 K) by employing the Callaway model. The acoustic phonons are considered to be the major carriers of heat and to be scattered by the sample boundaries, disorder, impurities, and other phonons via both Umklapp and normal phonon processes. Numerical calculations of LTC of Cd3As2 bring out the relative importance of the scattering mechanisms. Our systematic analysis of recent experimental data on thermal conductivity (TC) of Cd3As2 samples of different groups, presented in terms of LTC, ? L, using a nonlinear regression method, reveals good fits to the TC data of the samples considered for T < ? 50 K, and suggests a value of 0.2 for the Gruneisen parameter. It is, however, found that for T > 100 K the inclusion of the electronic component of TC, ? e, incorporating contributions from relevant electron scattering mechanisms, is needed to obtain good agreement with the TC data over the wide temperature range. More detailed investigations of TC of Cd3As2 are required to better understand its suitability in thermoelectric and thermal management devices. 2022 Chinese Physical Society and IOP Publishing Ltd. -
Lattice thermal conduction in suspended molybdenum disulfide monolayers with defects
In this study, we investigated the effect of lattice defects comprising vacancies and boundaries on the lattice thermal conductivity (LTC), ? p , of suspended molybdenum disulfide monolayers (MLs) over a wide temperature range (1 < T < 500 K). Using the phonon Boltzmann formalism, the acoustic phonons were considered to be scattered by the sample and grain boundaries, isotopic impurities, vacancies, and other phonons via Umklapp and normal (N-) processes. ? p was evaluated using a modified Callaway model by considering the in-plane longitudinal acoustic and transverse acoustic phonons, and out-of-plane flexural acoustic phonon modes. We demonstrated the need to include the often neglected non-resistive N-processes when evaluating the LTC. Numerical calculations of the temperature dependence of the LTC for crystalline and polycrystalline MoS 2 MLs showed the dominance of sample-dependent scattering mechanisms at low temperatures (T < 100 K) and of phonon-phonon scattering at higher temperatures, where the N-processes played an important role. The effects of vacancies and boundaries were to alter the behavior and suppress the magnitude of the LTC. The suppression due to vacancies was greater in crystalline MLs with specular surfaces and in polycrystalline MLs with larger grain sizes. The calculations compared well with recent thermal conductivity data obtained for polycrystalline samples. The need for further investigations is suggested. 2018 Elsevier Ltd -
Launch power determination algorithm for dynamic traffic provisioning in mixed-line-rate optical wavelength division multiplexed networks
In transparent mixed-line-rate (MLR) optical networks, different line rates, on different wavelengths, can coexist on the same fibre. However, along the path, signal experiences various physical layer impairments (PLIs), and its quality also degrades. A major factor that affects transmission quality is launch power of the optical signal. On one hand, power must be high enough to ensure less noise at receiver; on the other hand, it must be lower than the limit where PLIs start to distort the signal. Further, high launch power is disruptive to both, the actual lightpath and its neighbours. In this study, we investigate the problem of determining appropriate launch power for provisioning dynamic connection requests in transparent MLR networks. We propose a heuristic that determines the appropriate launch power of a lightpath. The PLI-average (PLI-A) approach is based on the optical reach of signals, is practical, and can adapt to the needs of network operators. Results show that performances of the proposed approach are better than the existing schemes. Copyright 2015 Inderscience Enterprises Ltd. -
Launch power determination algorithm for dynamic traffic provisioning in mixed-line-rate optical wavelength division multiplexed networks /
International Journal Of Internet Protocol Technology, Vol.9, Issue 1, pp.23-33, ISSN No: 1743-8209. -
Law, Regulation, and the Evolution of Corporate Governance: Driving Sustainability
This chapter examines how corporate governance is changing to promote sustainable development as a result of legal and regulatory advancements. Governance frameworks that were before almost entirely centered on shareholder earnings are increasingly being redesigned to incorporate social and environmental responsibility. The chapter emphasizes the increasing focus on transparency, Environmental, Social and Governance (ESG) integration, and stakeholder inclusion by examining changing regulations, international frameworks, and market-based efforts. It also looks at new developments like climate-related disclosures, board-level sustainability oversight, and legal reactions to greenwashing. Global ESG standards should be harmonized, and corporate legal frameworks should incorporate sustainability, according to the findings. The chapter makes the case for a move toward long-term, purpose-driven business structures by establishing sustainability as the primary pillar of governance. This change is a reflection of a wider realization that effective governance is critical to both corporate success and the welfare of the world. 2026 by IGI Global Scientific Publishing. -
Layered natural oxide based soft actuators for controlling artificial motion by chemical stimulus
The chemical stimuli-based soft-actuators with complex actuation properties are of significant interest in the field of biomechanical and biomedical applications such as prosthetics. Soft actuators can manipulate and precisely control the fluid motion at the microscale and may play an important role in fluid transportation in many biological systems. Here, we have presented a two-dimensional (2D) material-based 3D printed system for the fabrication of porous soft actuators that display different actuations under the organic fluid stimulus. The few atomic layered thin chromite sheets (natural ores) show significant changes in their physical properties due to the strong interaction with organic molecules. The composite film is capable of showing controllable and sophisticated motions such as twisting, bending, rolling, and flipping in response to chemical stimuli. The introduction of porosity in the composite film dramatically increases the dynamic performances, detection range, and sensitivity. As a result, a high actuation (twisting angle) of ?540 5 and response time of ?0.9 s was achieved, which significantly enhanced the device performance. Finally, to offer further flexibility and controlled structural alterations, we designed a snail, leaf, and worm-like soft actuators that expand the practical applications. 2025 Elsevier Ltd -
LBP-GLZM Based Hybrid Model for Classification of Breast Cancer
Classifying mammogram images is difficult because of their complex backgrounds and the differences in resolutions across the images. One of the toughest parts is telling the difference between harmless (benign) and harmful (malignant) tissue. This is hard because the differences between them are incredibly subtle. As a consequence, the distinctive features embedded within tissue patches become not just relevant but critical for the accurate and automatic classification of these images. Traditionally, efforts to automate this classification process have encountered limitations when relying on a singular feature or a restricted set of characteristics. The subtle variations in texture within these images often render such approaches insufficient in achieving high-quality categorization results. Recognizing this, the present investigation undertakes a more comprehensive approach by incorporating distinct feature extraction techniques - specifically, the utilization of Local Binary Pattern (LBP) and Gray Level Zone Matrix (GLZM). These techniques are adept at capturing and delineating the nuanced texture features inherent in mammogram images. By extracting and analyzing these textural nuances, the aim is to construct a hybrid model capable of classifying mammograms into three distinct categories: malignant, benign, and without the necessity for further examination or follow-up. This proposed hybrid model holds significant promise in the field of mammography classification by leveraging the strengths and complementary attributes of multiple feature extraction methods. The integration of LBP and GLZM aims not only to enhance the accuracy of classification but also to improve the robustness of the system in identifying subtle yet crucial differences in tissue textures. Ultimately, the goal is to create a hybrid feature extraction framework that augments the diagnostic capabilities of mammography, providing more precise and reliable categorization of breast tissue for effective medical decision-making and patient care. 2024 IEEE. -
LCLC Based AC-DC Single-Stage Resonant Converter with Natural Power Factor Correction
LLC-based AC-DC resonant converters make excellent EV chargers because of their high efficiency, high power density, and soft switching properties. Efficiency is increased and the need for a larger series inductor is lowered by connecting a capacitor across the magnetising inductance of the LLC resonant architecture (LCLC configuration). Switching frequency control is commonly used to regulate the converter's output DC voltage. However, there is a significant relationship between the converter's power factor and switching frequency. As a result, any changes in load may result in a lower power factor for the converter. This paper suggests a single-stage topology based on the LCLC resonant structure. The LCLC resonant configuration ensures zero voltage switching (ZVS) of the IGBTs used in the converter. Converters have a power factor correction (PFC) stage on the front of the converter to achieve natural power factor correction. Since the PFC stage and the resonant stage are controlled by the same switches, the converter is smaller and less expensive. A bridgeless rectification method is applied in the proposed topology to reduce the number of switching devices. MATLAB/Simulink simulations are used to validate the topology. 2023 IEEE. -
Leaching of minerals in subbituminous Indian coal and characterisation of the products by SEM
Coal is chemically and physically a complex and heterogeneous material, consisting of organic and inorganic mineral constituents. Presence of minerals in excess will pollute water, air and soil. Concerted efforts are needed to reduce 'ash forming' inorganic elements and to develop clean methods of using coal. This paper reports the demineralization of sub bituminous coal with EDTA, HCl, HF, chloroform and acid mixture. The residual coal from each treatment was analyzed using Scanning Electron Microscopy (SEM) and Ultimate analysis. All the micrographs were bright field and revealed several features corresponding to the mineral grains. It comprised of lithophiles like aluminium, silicates and calcium. The absences of some morphological features correspond to inorganic elements in residual coal samples confirming 'demineralization'. This result was further confirmed with the CHNS analysis. It was evident from the results that amongst the leachants used, Hydrofluoric acid and acid mixture had significant effect in removing the mineral matter, sulphur and oxygenated functional groups. Global Science Publications. -
Lead-free inorganic metal perovskites beyond photovoltaics: Photon, charged particles and neutron shielding applications
Over the last few years, lead-free inorganic metal perovskites have gained impressive ground in empowering satellites in space exploration owing to their material stability and performance evolution under extreme space environments. The present work has examined the versatility of eight such perovskites as space radiation shielding materials by computing their photon, charged particles and neutron interaction parameters. Photon interaction parameters were calculated for a wide energy range using PAGEX software. The ranges of heavy charged particles (H, He, C, N, O, Ne, Mg, Si and Fe ions) in these perovskites were estimated using SRIM software in the energy range 1 keV10 GeV, and that of electrons was computed using ESTAR NIST software in the energy range 0.01 MeV1 GeV. Further, the macroscopic fast neutron removal cross-sections were also calculated to estimate the neutron shielding efficiencies. The examined shielding parameters of the perovskites varied depending on the radiation type and energy. Among the selected perovskites, Cs2TiI6 and Ba2AgIO6 displayed superior photon attenuation properties. A 3.5 cm thick Ba2AgIO6-based shield could reduce the incident radiation intensity to half its initial value, a thickness even lesser than that of Pb-glass. Besides, CsSnBr3 and La0.8Ca0.2Ni0.5Ti0.5O3 displayed the highest and lowest range values, respectively, for all heavy charged particles. Ba2AgIO6 showed electron stopping power (on par with Kovar) better than that of other examined materials. Interestingly, La0.8Ca0.2Ni0.5Ti0.5O3 demonstrated neutron removal cross-section values greater than that of standard neutron shielding materials - aluminium and polyethylene. On the whole, the present study not only demonstrates the employment prospects of eco-friendly perovskites for shielding space radiations but also suggests future prospects for research in this direction. 2022 Korean Nuclear Society -
Leadership and Equity in Health Reform: Overcoming Discrimination and Promoting Mental Well-Being Among Migrant Workers
This chapter examines leadership and governance responses to workplace discrimination and mental- health inequities among migrant workers within Indias healthreform landscape, using Kerala as an empirical case. Drawing on quantitative evidence linking discrimination with psychological distress, diminished self- esteem, and reduced well- being, the chapter situates these outcomes within established frameworks such as health equity, social determinants of mental health, and traumainformed leadership. It advances a compassion- driven leadership model that integrates behavioral insights, inclusive policy design, public- health marketing, and participatory governance to address structural and systemic inequities. By moving beyond descriptive narratives, the chapter demonstrates how ethical and inclusive leadership can translate evidence into equitable reform. It argues that sustainable health reform must embed human dignity, social justice, and mental well- being at the core of governance, rather than prioritizing efficiency alone. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Leadership and Owner-Manager Well-Being: Examining the Role of Leadership and Owner-Manager Well-Being in Driving Sustainable Innovation
This study investigates the influence of leadership roles and owner-manager well-being on sustainable innovation in kirana (grocery) stores. As key contributors to local economies, these micro-enterprises face increasing pressure to adopt innovative and sustainable practices to remain competitive. The study uses data collected from 51 kirana store owners to explore the direct effects of leadership roles and well-being on fostering sustainable innovation. Correlation and regression analyses are employed to examine these relationships. Leadership roles are assessed in terms of strategic decision-making, vision, and the ability to motivate and guide teams. Meanwhile, owner-manager well-being encompasses physical health, emotional resilience, and overall satisfaction, reflecting the capacity of individuals to adapt and implement innovative practices. Findings reveal significant positive relationships between both leadership roles and owner-manager well-being with sustainable innovation. Leaders who exhibit strong strategic and adaptive capabilities are more likely to drive innovations. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Leadership and Performance Evaluation Strategies for Remote Healthcare Teams in the Digital Era: Effective Leadership in Remote Healthcare
Electroencephalography (EEG)- based Brain- Computer Interface (BCI) technology has appeared as a promising path for healthcare, contributing to novel solutions for detecting, treating, and dealing with neurological conditions. By capturing and construing the electrical activities of brain signals, EEG- based BCIs empow er direct brain communication with external devices, circumventing traditional neural conduits. This chapter delves into the progress of EEG- based BCI devices, emphasizing their implication in healthcare, the technical challenges tangled, and their potential to transform patient care. The key objective is to deliver a detailed exploration of the development procedure of EEG- based BCI devices, emphasizing their applications in healthcare. The chapter includes the principles of EEG signal acquisition, the design and engineering of BCI systems, the employment of machine learning algorithms for signal decoding, and the clinical validation required for medical use. Moreover, it will discuss the prospective effect of these devices on healthcare and future research directions. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Leadership for Digital Transformation
The chapter explores the critical role of leadership in navigating the complexities of digital transformation, emphasizing the integration of technology, culture, and strategy to drive sustainable organizational change. Through comprehensive case studies, it highlights successful transformation journeys at Microsoft, Tesla, and Walmart, alongside challenges faced by organizations like General Electric. The discussion delves into frameworks such as Transformational Leadership Theory, Agile methodologies, and Digital Maturity Models, underscoring their importance in fostering adaptability, innovation, and inclusivity. Key themes include addressing resistance to change, bridging digital skills gaps, and embedding ethical practices in leadership strategies. The chapter concludes by providing actionable recommenda- tions for future leaders to harness emerging technologies, balance innovation with sustainability, and build resilient organizations in an interconnected global economy. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Leadership management strategies and organisational practices with respect to the hotel sector of rainbow tourism group limited
This was a research exercise which sought to explore leadership management strategies and organisational practices taking place in the hotel sector of Rainbow Tourism Group Limited (RTGL). RTGL is one of Zimbabwe s biggest hotel and tourism sector. The hotel portfolio are comprised of Rainbow Towers and Conference Centre, Bulawayo Rainbow, Victoria Falls Rainbow, Kadoma Rainbow and Conference Centre, A Zambezi River Lodge and Ambassador Hotel. The six hotels have a combined total of 886 rooms, with the largest number of 304 rooms being in the five star hotel, Rainbow Towers and Conference Centre and while the rest in the three star group hotels. Other operations outside Zimbabwe are Hotel Edinburg, the Savoy Hotel and a hotel in Mozambique. The problem statement of the research study was to examine the role of organisational culture in shaping the leadership strategies in hotel and catering sector, organizational leadership and their effectiveness in helping to achieve organizational objectives. The following was newlinethe set of objectives that the research sought to achieve. Firstly, the research sought to determine and analyze the different types of leadership strategies adapted by the hotel sector of Rainbow Tourism Group Limited in the hotel sector a Case Study. The second newlineobjective was to determine the environment forces affecting the acceptance and newlineassimilation of the mentioned strategies. Thirdly the research sought to ascertain the newlineefficacy of mentioned strategies in attaining these organisational strategies in the hotel newlinesector of RTGL. The fourth objective was to suggest if any alternate strategies will be newlinerequired to enhance leadership effectiveness in Hotel Sector of the RTGL. Finally the newlineresearch sought to develop a Leadership Model that can be used in the hotel industry. -
