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Label free electrochemical detection of stress hormone cortisol using sulphur doped graphitic carbon nitride on carbon fiber paper electrode /
New Journal of Chemistry, Vol.46, Issue 41, pp.19975-19983, ISSN No: 1144-0546 (Print) 1369-9261 (Online).
Sulphur doped graphitic carbon nitride (SGCN) was effectively prepared and comprehensively described. A straightforward synthetic process based on thermal condensation was reported for the synthesis of SGCN using thiourea as a precursor. Cyclic voltammetry (CV) and differential pulse voltammetry were used to evaluate the electrochemical performance of cortisol. SGCN sheets were used to boost the electro-catalytic activity, exhibiting very exceptional electrochemical behaviour towards cortisol. As a result, we obtained a broad linear response range of 0.1–100 μM, as well as a comparatively low detection limit (15.8 × 10−8 M). Furthermore, the fabricated SGCN/CFP electrode shows excellent selectivity in the presence of a large number of possible interfering species. -
Label-Based Feature Classification Model for Extracting Information with Dynamic Load Balancing
Efficient extraction of information from various sources is very tedious. Achieving this requires very sophisticated feature classification model and ability of the system to adapt to changing environments of data and its random distributions with an efficient use of computational resources. Label-based feature classification model (LFCM) with dynamic load balancing is proposed to address an efficient model to extract information in data set. This technique is effective in data analysis to discover the new feature set. Label approach incorporates unique label concept and it avoids any data duplication using labels. Each data sample is assigned to only one label to improve the accuracy and effectiveness of the retrieval process. Based on the data relevancy and specific features that can be extracted using proposed algorithm, classification model and semantic representation of data in vector form minimizes the data loss, and dimensionality reduction plays a vital role in building an efficient model. Various graphs and results obtained from the experiments show an improvement of information extraction using this proposed labeled LFCM approach. This approach brings lots of real time challenges that are handled to bring accuracy factor as the main focus in this proposed system. Both classification and extraction uses different model to obtain the intended results. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Labelling of human breast cancer cells with PEG/biotin encapsulated B-type Y2O3: Eu nanophosphors for fluorescence detection
The development of non-toxic quantum dots (QDs) for fluorescence labelling of cancer cells can bring significant advancements in the disease detection. Such findings can effectively replace the conventional toxic fluorescent probes by virtue of its tunable optical characteristics. Through this work, we present the development of an efficient fluorescent probe based on B-type Y2O3: Eu QDs for labelling MCF 7 cell lines. The QDs surface was encapsulated by poly ethylene glycol (PEG) along with tumour targeting ligand, biotin. The luminescence capability of the QDs were established through photoluminescence experiments. The QDs were tested to be non-toxic through MTT assay. Fluorescence detection experiments on MCF 7 cells using the nanophosphor established the material's potential to serve as an efficient probe for cancer cell detection. 2024 Elsevier B.V. -
Labor unrest at Wistron Corporation India plant What went wrong?
Learning outcomes: After completion of this case study, students/managers will be able to analyze reasons for the labor unrest at Wistron Corporations Indian manufacturing plant; examine the implementation of labor regulations applicable to the employment of contract workers by Wistron Corporation; infer the problems associated with rapid expansion in the workforce; analyze the labor regulatory challenges faced by Wistron Corporation; and demonstrate problem-solving skills. Case overview/synopsis: The focus of this case study was the crisis faced by Apples contract manufacturer Wistron Corporation due to labor unrest, riots and violence in its production facility located near Bangalore in India. This case study discussed the CEOs dilemma in resolving the crisis and regaining the confidence of stakeholders, namely, the contract employees, Apple Inc. and the State Government of Karnataka. To give the readers an overview of the crisis this case discussed in detail the underlying reasons for the labor unrest such as a rapid increase in manpower, unilateral increase in working hours without extra pay, unjustified pay cuts, understaffed and underqualified human resources (HR) department, ill-equipped attendance and payroll system. It also gave an overview of mistakes in labor management that could be avoided by a manufacturing firm. The case also discussed the pressure faced by the Wistron CEO due to probation and a new business freeze by Apple Inc. This case study is suitable for understanding the complexities of labor laws and the legal complications that can arise when a corporation disregards local labor laws while operating in foreign countries. Complexity academic level: The case is best suited for postgraduate and executive MBA students studying labor law, industrial psychology and HR management in commerce and business management streams. The authors suggest that the instructor should inform students to read the case study before attending the 90-min session. It can be executed in the classroom after discussing the theoretical concepts. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 6: Human Resource Management. 2024, Emerald Publishing Limited. -
Labour migration, the Arabian Gulf, and the expanding territorial imagination in Malayalam cinema
Mainstream Malayalam cinema of the south Indian state of Kerala has, for the most part, attempted to sidestep the significance of Gulf migration to the regions development. Part of the reason for this historical neglect has been the prevalence of a particular hegemonic vantage point within the films that has centralized the narratives of the landed elites in Kerala, eliding the various historically marginalized communities within the state. This article engages with a recent development within the film industry. It examines how Gulf migration has shaped the affective dimensions and expanding territorial imagination of the New Malayalam Cinema, which has positioned labour migration as one of its central thematic concerns. It is argued that this shift was made possible by the displacement of the universalized territorial imagination of the landed elites in the state that dominated its film industry for most of its history. Subsequently, this article will closely study how director Zakariya places his debut film Sudani from Nigeria (2018) within this new cinematic category, and will demonstrate how he portrays the region of rural Malappuram in north Kerala as a nexus of various migrant experiences, crucially invoking an underlying older order of cosmopolitanism prevalent in the region, fuelled partly by the history of Gulf migration and partly by a tradition and history of migration and transnationalism that predates the formation of the Indian state. The Author(s) 2023. -
Labour Rights in the Wake of the WTO
One of the most contentious issues surrounding globalization includes trade and labours rights. In the real world, trade and labour circumstances have an impact on one another. Trading nations should be subject to significant labour standards. It was believed that enforcing labour standards via trade agreements helps to improve the working conditions and income in poor countries, and minimize wage inequalities between rich and poor countries. The World Trade Organizations (WTOs) establishment has resulted in the liberalization of trade and investment. Transnational corporations (TNCs) have become more economically powerful than many countries around the world in todays era of globalization and free trade. These powerful TNCs are violating labour rights and are not accountable for that because of the lack of a legal framework. This calls for a look at issues that arise at the interface of international trade and labour standards, including a brief historical review of labour rights and the, as well as the impact of TNCs on labours and accountability. 2023 Kluwer Law International BV, The Netherlands -
Laccase mediated electrosynthesis of heliotropin on mango-kernel derived carbon nanosphere composite: A sustainable approach
Facile fabrication of enzyme immobilized carbon nanospheres (CNS) based catalysts with high electrical conductivity and catalytic efficiency are of decisive importance for their electrocatalysis. A novel, green and highly efficient synthesis route for the development of an electrode surface with enhanced electrical conductivity and better catalytic activity for the electrochemical synthesis of heliotropin. The obtained biowaste (mango seed kernels) was pyrolyzed and subjected to acid treatment to form functionalized CNS (f-CNS). The functionalized carbon fiber paper (CFP) electrode was employed as a template for laccase immobilization which was further treated with free laccase resulting in the formation of Lac-fCNS/CFP electrode. The developed electrode exhibited excellent electrooxidation of piperonyl alcohol in the presence of 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO), which served as the mediator. A high yield (78%) of heliotropin was achieved during the electrooxidation at 0.78 V via bulk electrolysis. The obtained product (heliotropin aka piperonal) was confirmed via 1H NMR and 13C NMR. Additionally, computational molecular docking analysis of f-CNS:laccase composite showed strong binding affinity (?6.2 kcal/mol) with TEMPO in comparison with free laccase (?5.1 kcal/mol). The excellent selectivity and efficiency of the developed electrocatalyst aim to surpass all other reported laccase-TEMPO mediated based electrocatalytic oxidation reactions. 2022 Vietnam National University, Hanoi -
Laccase mediated electrosynthesis of heliotropin on mango-kernel derived carbon nanosphere composite: A sustainable approach /
Journal of Science: Advanced Materials and Devices, Vol.7, Issue 4, pp.1-11, ISSN No: 2468-2179.
Facile fabrication of enzyme immobilized carbon nanospheres (CNS) based catalysts with high electrical conductivity and catalytic efficiency are of decisive importance for their electrocatalysis. A novel, green and highly efficient synthesis route is reported here for the development of an electrode surface with enhanced electrical conductivity and better catalytic activity for the electrochemical synthesis of heliotropin. The obtained biowaste (mango seed kernels) was pyrolyzed and subjected to acid treatment to form functionalized CNS (f-CNS). The functionalized carbon fiber paper (CFP) electrode was employed as a template for laccase immobilization which was further treated with free laccase resulting in the formation of Lac-fCNS/CFP electrode. -
Laguerre polynomial-based operational matrix of integration for solving fractional differential equations with non-singular kernel
The Atangana-Baleanu derivative and the Laguerre polynomial are used in this analysis to define a new computational technique for solving fractional differential equations. To serve this purpose, we have derived the operational matrices of fractional integration and fractional integro-differentiation via Laguerre polynomials. Using the derived operational matrices and collocation points, we reduce the fractional differential equations to a system of linear or nonlinear algebraic equations. For the error of the operational matrix of the fractional integration, an error bound is derived. To illustrate the accuracy and the reliability of the projected algorithm, numerical simulation is presented, and the nature of attained results is captured in diverse order. Finally, the achieved consequences enlighten that the solutions obtained by the proposed scheme give better convergence to the actual solution than the results available in the literature. 2021 The Author(s). -
Lane Detection using Kalman Filtering
Autonomous vehicles are the future of transportation. Modern high-tech vehicles use a sequence of cameras and sensors and in order to assess their atmosphere and aid to the driver by generating various alerts. While driving, it is always a challenging task for drivers to notice lane lines on the road, especially at night time, it becomes more difficult. This research proposes a novel way to recognize lanes in a variety of environments, including day and night. First various pre-processing techniques are used to improve and filter out the noise present in the video frames. Then, a sequence of procedure with respect to lane detection is performed. This stable lane detection is achieved by Kalman filter, by removing offset errors and predict future lane lines. 2023 Elsevier B.V.. All rights reserved. -
Language and identity formations of second-generation migrants in Deepak Unnikrishnan's temporary people
Decades of migration to the Gulf nations have led to the existence of second-generation migrants who were born and raised in migrant lands. The chapter uses the novel Temporary People (2017) by Deepak Unnikrishnan as a primary text to explore the role language plays in second-generation migrant identity formations and the assimilation process. The national language, Arabic, is situated in the specific socio-political context, a site where ideologies and power relations are reproduced. By identifying a gap in the language education policy, it reveals how migrant's inability to communicate in the Arabic language has complex implications on their identities and notions of belongingness. The chapter explores language's power to naturalize norms and hierarchical structures within society that can hinder the assimilation process and highlights the migrant-citizen divide. It shows how notions of temporariness and Othering in migrants are inherent within the language politics of the land. The chapter reaffirms language-identity relations and points to revaluating migrant language policies. 2023, IGI Global. All rights reserved. -
LANGUAGE CONTACT AND CHANGE: AN ANALYSIS OF HERITAGE KONKANI IN KERALA; [CONTACTE LINGSTIC I CANVI: UNA ANISI DEL PATRIMONI KONKANI A KERALA]; [CONTACTO LINGSTICO Y CAMBIO: UN ANISIS DEL PATRIMONIO KONKANI EN KERALA]
This paper analyses the extent of language contact induced change in the sound system of heritage Konkani community of Kerala, India. Heritage Konkanis, belonging to different castes namely Gowda Saraswat Brahmins (GSB), Saraswat non-brahmins, Konkan Sonars, Vaishya Vaniyar and Kudumbi, started migrating to Kerala in the late 13th century. The upper caste GSBs remained as a closed community until 20th century, which helped in the maintenance of their language. Linguistic data for the study was collected from 20 GSB youths of the age group 18-35 using Snowball sampling method. The analysis of the data shows loss of features such as aspiration and nasalization, which are inherent to Konkani. This indicates the vulnerable linguistic situation of the GSB community whose mother tongue exhibits linguistic variations, as a result of prolonged coexistence with the majority language, Malayalam. 2024 University of Barcelona. All rights reserved. -
Large power factors in wide band gap semiconducting rFeO3 materials for high-temperature thermoelectric applications
While most of the thermoelectric materials work well only at low and mid temperatures, high-temperature thermoelectric materials (T > 900 K) are equally important for the operation of deep-spacecraft missions, nuclear reactors, and high-temperature industrial reactors. To accomplish this demand, this work provides insights into wide band gap semiconducting RFeO3 (rare-earth orthoferrites) for high-temperature thermoelectric applications. Using the first-principles density functional theory calculations, we have demonstrated the coexistence of extremely flat and corrugated flat bands near the Fermi region in a wide band gap material. The presence of such features enhances and sustains the thermopower, electrical conductivity, and power factor, which are the crucial factors for the efficiency of thermoelectric materials. Semiclassical Boltzmann formalism was then employed to study the transport properties of four orthorhombic RFeO3 materials (R = Pr, Nd, Sm, and Gd). Our results reveal high Seebeck coefficients (thermopower) along with the large electrical conductivities over the high hole doping carrier concentration and in the high-temperature region (T > 900 K). Furthermore, significantly large power factors are obtained with very low theoretical minimum lattice thermal conductivity in the range 1.41?1.51 W m?1 K?1. These huge power factors directly suggest the maximum power output in RFeO3, which we believe is a more appropriate performance index than the figure of merit, especially for high-temperature thermoelectric applications. We also emphasize that the outcomes of our work would be certainly useful for experimentalists in designing high-temperature thermoelectric materials. 2020 American Chemical Society -
Large scale extinction maps with UVIT
Astrophysics and Space Science Vol.343, No.2 ISSN No. 0004-640X -
Large scale extinction maps with UVIT
The Ultraviolet Imaging Telescope (UVIT) is scheduled to be launched as a part of the ASTROSAT satellite. As part of the mission planning for the instrument we have studied the efficacy of UVIT observations for interstellar extinction measurements. We find that in the best case scenario, the UVIT can measure the reddening to an accuracy of about 0. 02 magnitudes, which combined with the derived distances to the stars, will enable us to model the three-dimensional distribution of extinction in our Galaxy. The knowledge of the distribution of the ISM will then be used to study distant objects, affected by it. This work points the way to further refining the UVIT mission plan to best satisfy different science studies. 2013 Springer Science+Business Media Dordrecht. -
Large Scale Transportation Data Analysis and Distributed Computational Pipeline for Optimal Metro Passenger Flow Prediction
Transportation has a signifcant impact on controlling traffc around a busy city. Among the transport system, metro rails became the backbone by operating above the traffc. For this reason, we have to take special consideration of the passenger and#64258;ow in the transport system and, by understanding the needs, take timely actions for smooth running. Every metro system stores information about the and#64258;ow of passengers in the form of transactions known as Automatic Fare Collection (AFC) data. For this research, AFC data is taken as the primary newlinesource of information to identify the passenger and#64258;ow within the metro rail platform. Each metro system generates massive data throughout its running period and stores data within the system and considering the size of data generated, the analytic platform has to process them in a distributed paradigm to handle quotBig Dataquot. Artifcial Intelligence (AI) algorithms can derives information, insights, and patterns from this data. The patterns in time series can be identifed from the passenger and#64258;ow data using exploratory analysis. The step is an essential step in data science for understanding the underlying properties of the raw data. The research uses a data platform with a distributed computing and storage mechanism called the JP-DAP. The research leverages the above mentioned platform to extract passenger and#64258;ow data from AFC Ticketing data. After the data engineering, the results of passenger and#64258;ow information underwent further visualization and trend analysis. Based on the facts or patterns identifed from the passenger and#64258;ow information, a decision is taken for forecasting. The initial study will reveal the characteristics of metro usage and practices within the system and fnally derive a solution with machine learning-based forecasting method. The passenger and#64258;ow newlineforecasts based on the above patterns depend on factors like seasonality, trends, cyclicity, location, events, and random effects. -
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. -
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 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