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SPP1, a potential therapeutic target and biomarker for lung cancer: functional insights through computational studies
NIH reported 128 different types of cancer of which lung cancer is the leading cause of mortality. Globally, it is estimated that on average one in every seventeen hospitalized patients was deceased. There are plenty of studies that have been reported on lung cancer draggability and therapeutics, but yet a protein that plays a central specific to cure the disease remains unclear. So, this study is designed to identify the possible therapeutic targets and biomarkers that can be used for the potential treatment of lung cancers. In order to identify differentially expressed genes, 39 microarray datasets of lung cancer patients were obtained from various demographic regions of the GEO database available at NCBI. After annotating statistically, 6229 up-regulated genes and 10324 down-regulated genes were found. Out of 17 up-regulated genes and significant genes, we selected SPP1 (osteopontin) through virtual screening studies. We found functional interactions with the other cancer-associated genes such as VEGF, FGA, JUN, EGFR, and TGFB1. For the virtual screening studies,198 biological compounds were retrieved from the ACNPD database and docked with SPP1 protein (PDBID: 3DSF). In the results, two highly potential compounds secoisolariciresinol diglucoside (-12.9 kcal/mol), and Hesperidin (-12.0 kcal/mol) showed the highest binding affinity. The stability of the complex was accessed by 100 ns simulation in an SPC water model. From the functional insights obtained through these computational studies, we report that SPP1 could be a potential biomarker and successive therapeutic protein target for lung cancer treatment. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Nanofluid flow past a vertical plate with nanoparticle aggregation kinematics, thermal slip and significant buoyancy force effects using modified Buongiorno model
The flow of ethylene glycol-based titania nanoliquid passing through a vertical plate induced by significant buoyancy forces (nonlinear convection) is analyzed with quadratic thermal radiation and considering the aggregation kinematics of the nanoparticles. The nanoliquid is modeled accounting for thermo-migration, Brownian motion, and the effectual thermophysical properties. The realistic zero mass flux and thermal slip conditions are considered on the surface of the plate. In addition, the mechanisms of exponential space-related heat source (ESHS) and thermal-based heat source (THS) are incorporated. The finite-difference technique-based bvp5c routine is used to obtain the numerical solution of thenonlinear system of equations. The effects of the parameters are examined on the dimensionless profiles of velocity, temperature, heat transport rate, the volume fraction of nanoparticles, and streamlines. It was found that the aggregation of nanoparticles significantly advances the temperature field while the velocity field is reduced. The ESHS and THS modulations improve the thickness of the thermal boundary layer. The quadratic thermal convection aspect improves the velocity of nanoliquid. Furthermore, the effects of quadratic thermal radiation assist the growth of the thermal boundary layer. The present results are relevant to various thermal systems including flat plate solar collectors, heat exchangers, and nuclear reactors. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Electrochemical sensor based on PVP coated cobalt ferrite/graphite/PANI nanocomposite for the detection of hydrazine
In this study, we developed a multi-layered electrode as an efficient nanocomposite electrochemical sensor for detecting carcinogenic hydrazine in water. Nano-cobalt ferrite (CoFe2O4) was prepared using poly (vinylpyrrolidone) (PVP), mixed with an optimum quantity of graphite and pasted on a stainless-steel current collector. The nanocomposite was further hybridised by electrodepositing with polyaniline (PANI). The obtained composite was characterized using XRD, FTIR, SEM, and electrochemical techniques. XRD analysis shows the successful formation of composite from individual precursors. According to SEM, wrinkled and layered morphology for graphite and aggregate clusters for cobalt with spike or tubular structure for polyaniline were observed. When subjected to amperometry current, the prepared electrode showed different peaks for different concentrations of hydrazine, such as 1 ?M to 100 ?M. Cyclic voltammetry studies showed an increase in oxidation and reduction peaks. These studies will lead to a new platform for their potential applications in detecting toxic materials in real samples such as water, plastic bottle, water etc., 2023 The Author(s). Published by IOP Publishing Ltd. -
Comprehensive Review on CdTe Crystals: Growth, Properties, and Photovoltaic Application
Abstract: Despite the deep interest of materials scientists in cadmium telluride (CdTe) crystal growth, there is no single source to which the researchers can turn towards for comprehensive knowledge of CdTe compound semiconductor synthesis protocols, physical properties and performance. Considering this, the present review work focuses to bridge this shortcoming. The direct band gap (Eg) CdTe crystals have been in limelight in photovoltaic application (PV) since the optoelectronic properties such as Eg (1.49 eV), absorption coefficient (~105 cm1), p-type conductivity, carrier concentration (6 1016 cm3) and mobility (1040 cm2/(V s)) at the room temperature are reported that optimum for solar cells. Additionally, Cd-based compounds such as CdTe and CdZnTe have also been widely studied in the field of ? and ?-ray radiation detector, because of their extraordinary advantages like large atomic number, low weight, high mechanical hardness, flexibility, and the availability of the constituent materials. CdTe has demerits like toxicity and high melting temperature, which will complicate the growth of stoichiometric cadmium telluride crystals at high temperatures. In this regard, the review work focused the periodic evolution of the growth protocols until now. The different synthesis methods, characterization, and recent progress in the field of crystalline CdTe were discussed briefly. Important optical and electrical characteristics are presented in the tables and remaining issues have discussed, this could be looked into for further research. The applications of CdTe crystals for photovoltaic fields are also discussed in this review paper. Pleiades Publishing, Ltd. 2023. ISSN 0031-918X, Physics of Metals and Metallography, 2023, Vol. 124, No. 14, pp. 17951812. Pleiades Publishing, Ltd., 2023. ISSN 0031-918X, Physics of Metals and Metallography, 2023. Pleiades Publishing, Ltd., 2023. -
Forgiving Behavior among Emerging Adults: The Influence of Religiosity and Spirituality and Personality Traits
The present study aims to examine the three important aspects of emerging adulthood, religiosity and spirituality, personality traits, and forgiveness which bring well-being benefits. It is hypothesized that religiosity and spirituality along with personality traits predict forgiveness among emerging adults. The Neo Five-Factor Inventory (NEO FFI), the Religiosity and Spirituality Scale for Youth (RaSSY), and the Heartland Forgiveness Scale (HFS) were administered to 364 female and 390 male emerging adults (n = 754; mean age = 21 years, SD = 14.88) selected through purposive sampling technique from colleges in Bangalore. Data were analyzed using correlational and hierarchical regression analysis. This study found that religiosity and spirituality and the Big Five personality traits positively correlated with forgiveness whereas all personality traits, except neuroticism, strongly predicted forgiveness more than religiosity and spirituality. These findings suggest that faith-based coping and religious social support in combination with personality traits help emerging adults practice forgiveness in their daily life, leading to further insight into the theories of forgiveness and well-being. 2023 Taylor & Francis Group, LLC. -
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. -
Blind separation of speech from aortic regurgitation signals using Dhoulaths method
Conducting auscultation of traumatically distressed patients has always been demanding for medical professionals. The challenge calls for an innovative solution enabling doctors to conduct precise diagnoses despite other sound interference. This suggested study presents an entirely non-invasive and convenient method designed to aid doctors in routine diagnostic procedures. This study is centred on the segregation of aortic regurgitation heart sounds from speech. The mixture utilised for the study is a combination of speech and aortic regurgitation signals. The method applied for the study is a revised procedure of Blind Source component separation utilising a solo sensor method. With this technique, doctors are not compelled to prevent patients from articulating their pain or discomfort while diagnosing heart sounds. Doctors can offer a consoling word to patients while the auscultation is in progress without worrying about how the speech sounds affect the diagnosis. For babies, timely detection of heart-related issues can be life-saving. With Dhoulaths method, the distressing sounds of a babys cries can be effectively separated, thereby offering doctors clear audio of heartbeats. The study was conducted to ascertain if heartbeats can be segregated from the signals of speech or cries. This segregation procedure has succeeded in arriving at an enhanced level of clarity. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Characterization of thermal damage of skin tissue subjected to moving heat source in the purview of dual phase lag theory with memory-dependent derivative
This investigation is devoted to exhibit the thermal damage of skin tissue exposed to a moving heat source. Modelling of the problem is performed by adopting dual phase lag theory of bio heat transfer in context of memory dependent derivative. Laplace transform technique has been adopted to represent the analytical solutions of temperature and thermal damage of skin tissue. Thermal damages to the tissues are calculated by the extent of the denatured protein employing with the Arrhenius equation. In order to predict the significance of memory dependent derivative approach, computational results of temperature and thermal damage are evaluated in the frame of different kernel functions as well as time-delay. For the purpose of exhibiting the attractiveness of the present model, obtained results are compared with the results corresponding to the absence of memory dependent derivative. Also, the impact of the velocity of moving heat source has been precisely investigated on temperature variation and thermal damage of skin tissue using quantitative results. Authors believe that this study will be helpful to study the thermal treatment of several diseases such as hyperthermia. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Teaching Data Journalism: A Systematic Review
Data Journalism has attracted considerable academic attention as an innovative journalism practice in the recent past. It has resulted in a steady increase in academic research on data journalism. A subset of these studies deals with imparting training in data journalism. This study attempts to systematically review the peer-reviewed academic literature on data journalism training in order to ascertain the present status of academic research on the subject. By examining the studies, it brings together insights about the prevalent methods used in data journalism training, the challenges faced by the instructors, the recommended best practices and the students perception about data journalism training. The study finds that accommodating a new programme in the existing tight schedule of journalism curricula, alleviating the math-fear in students and adequately addressing the interdisciplinary nature of the practice through consistent up-skilling are some of the challenges faced by data journalism educators. It also finds that the academic literature on data journalism training is less concerned about imparting ethical awareness related to the practice. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Facile combustion synthesis of highly active Mo doped BiVO4 for photocatalytic dye degradation, photo-oxidation of alcohols, antifungal and antioxidant activities
This work represents the facile and green synthesis of Molybdenum (Mo)-doped bismuth vanadate (BiVO4). Green synthesis of Mo-doped BiVO4 was done using combustion technique using Mangifera indica (Mango) leaf extract as the fuel for combustion. The material synthesised was pure and characterised using X-ray diffraction, scanning electron microscopy, high resolution transmission electron microscopy, ultravioletvisible diffuse reflectance spectroscopy, Fourier transform infrared spectroscopy and photoluminescence (PL). It was found that Mo-doped BiVO4 had monoclinic scheelite phase, with a bandgap of 3.71eV. Various application was possible from the synthesised material like photodegradation of Malachite Green, a typical organic which showed excellent degradation efficiency of 99% under 120minutes. The catalyst also gave up to 95% yields in the light-assisted oxidation of aromatic alcohols to corresponding aldehydes. The material also showed excellent antioxidant properties showing 6.7g of ascorbic acid equivalence (AAE). It gave an excellent minimum lethal dosage (MLD) of 500g against Penicillium and Trichoderma fungal strains and showed maximum of 32 mm zone of inhibition. These applications show the versatility of the material to be used in various fields. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Viscosity-sensitive and AIE-active bimodal fluorescent probe for the selective detection of OCl? and Cu2+: a dual sensing approach via DFT and biological studies using green gram seeds
A novel dual-mode viscosity-sensitive and AIE-active fluorescent chemosensor based on the naphthalene coupled pyrene (NCP) moiety was designed and synthesized for the selective detection of OCl? and Cu2+. In non-viscous media, NCP exhibited weak fluorescence; however, with an increase in viscosity using various proportions of glycerol, the fluorescence intensity was enhanced to 461 nm with a 6-fold increase in fluorescence quantum yields, which could be utilized for the quantitative determination of viscosity. Interestingly, NCP exhibited novel AIE characteristics in terms of size and growth in H2O-CH3CN mixtures with high water contents and different volume percentage of water, which was investigated using fluorescence, DLS study and SEM analysis. Interestingly, this probe can also be effectively employed as a dual-mode fluorescent probe for light up fluorescent detection of OCl? and Cu2+ at different emission wavelengths of 439 nm and 457 nm via chemodosimetric and chelation pathways, respectively. The fast-sensing ability of NCP towards OCl? was shown by a low detection limit of 0.546 ?M and the binding affinity of NCP with Cu2+ was proved by a low detection limit of 3.97 ?M and a high binding constant of 1.66 103 M?1. The sensing mechanism of NCP towards OCl? and Cu2+ was verified by UV-vis spectroscopy, fluorescence analysis, 1H-NMR analysis, mass spectroscopy, DFT study and Job plot analysis. For practical applications, the binding of NCP with OCl? and Cu2+ was determined using a dipstick method and a cell imaging study in a physiological medium using green gram seeds. 2024 The Royal Society of Chemistry. -
Green synthesized cobalt nanoparticles from Trianthema portulacastrum L. as a novel antimicrobials and antioxidants
Trianthema portulacastrum is a dietary and medicinal plant that has gained substantial importance due to its pharmacological properties. This plant was used for its various healing properties since the ancient period in ayurvedic system of medicine. The green synthesis technique is an eco-friendly as well as cost effective technique which can produce more biocompatible nanoparticles when compared with those fabricated by physio-chemical methods. Therefore, nanoparticles produced by green synthesis are credible alternatives to those which are produced by conventional synthesis techniques. This research mainly aims to produce nanoparticles with the methanolic leaf extract of T. portulacastrum. The optimized nanoparticles were further analyzed for anti-fungal, anti-bacterial and antioxidant properties. Disk diffusion assay was used for the determination of the antimicrobial property and on the other hand, DPPH radical scavenging assay as well as hydrogen peroxide scavenging activity proved the antioxidant property of the formulation. The study revealed that Escherichia coli (gram negative strain) shows greater zone of inhibition when compared with Bacillus subtilis (gram positive bacteria). The nanoparticles have also been reported to show significant anti-fungal activity against the strains of Aspergillus niger and Fusarium oxysporum which proves its desirability for its further use against both bacterial as well as fungal infections. The novel formulation can be explored dually as antimicrobial and antioxidant agent. 2023 Taylor & Francis Group, LLC. -
Hockey among the Indigenous Tribes of Sundargarh, Odisha
[No abstract available] -
SPREADING RELIGION AND CULTURE THROUGH INTERNET MEMES
This paper delves into the use of Internet memes as a means of spreading religion and ethical values in modern society. With the rise of the Internet and social media, memes have gained popularity as a form of shared content with the ability to convey meaningful messages. The research evaluates the prevalence and impact of memes in religious and ethical contexts. Through this research, the authors present their viewpoint after mulling over the findings of authors like Limor Shifman. The study asserts that memes can facilitate discussions, promote religious literacy, reinforce beliefs, and instil ethical values. Additionally, it anticipates that religious and ethical memes may influence individuals' actions in their daily lives. This research is significant as it examines the potential of memes to serve as a contemporary tool for spreading religion and ethics in a digital world. 2023 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore),. -
Isothermal autocatalysis of homogeneousheterogeneous chemical reaction in the nanofluid flowing in a diverging channel in the presence of bioconvection
The nonlinear differential equations play a prominent role in the mathematical description of many phenomena that occur in our world. A similar set of equations appear in this paper that govern the homogeneous and heterogeneous chemical reactions in the nanofluid flowing between two non-parallel walls. Since the concentration of the homogeneous species is substantially high, quartic autocatalysis is considered for the analysis. It is found to be more effective than the cubic autocatalysis. Further, to avoid the deposition of nanoparticles on the surface, self-propelled microorganisms called gyrotactic microorganisms are allowed to swim in the nanofluid. This movement of microorganisms constitutes a major phenomenon called bioconvection. The set of governing equations thus formed are made dimensionless and the resulting system of equations are solved by Differential Transformation Method (DTM) with the help of Padapproximant that reduces the power series into rational function. This transformation helps in achieving a better convergence rate. The fluid flow analysis is interpreted through graphs and tables where it is observed that the heat source enhances the temperature of the nanofluid. Further, the homogeneous and heterogeneous chemical reaction parameters have significant impacts on the concentration of the reactants. Also, the outcomes indicated that the reaction profiles and motile density profiles increase with the increase in Schmidt number. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Nonlocal thermoelastic waves inside nanobeam resonator subject to various loadings
The present article focuses on the new meticulous model based on the postulate of memory-dependent derivatives to analyze the thermo-mechanical interactions inside the nano-beam-based machined resonators. Also, the size effect on dynamic responses of thermoelastic vibrations of homogeneous and isotropic nano-beam is considered. The fundamental expressions are formulated in the frame of non-local generalized thermoelasticity with paired relaxation times by operating the results of Euler-Bernoulli beam theory, non-local effect, and memory-dependent derivative. The proposed model is applied to study the nano-beam-based machined resonator subjected to the ramp-type heating and exponentially decaying time-dependent load. Closed-form solutions of the physical fields are examined by applying the Laplace transform mathematical mechanism. However, the coherence of the new thermal conductivity framework, a collation has been bestowed among the results obtained in the presence or absence of the memory-dependent derivative; also, the size effect is analyzed on the significant parameters of nano-beam such as deflection, temperature, displacement as well as bending moment. Moreover, the prominent influence of the distinct affecting parameters such as constituents of memory-dependent derivative (kernel function and time delay) and ramping time parameter with an applied load on the physical fields have been investigated with the help of quantitative results. 2022 Taylor & Francis Group, LLC. -
Development of the House of Collaborative Partnership to overcome supply chain disruptions: evidence from the textile industry in India
Collaboration in a supply chain becomes a significant competitive weapon for member firms in an uncertain business environment. The present study develops a model of supply chain collaboration named as House of Collaborative Partnership (HCP) and includes the enablers and impeders of a successful Collaborative Partnership (CP). Model development follows a three-phase process. The first phase consists of the identification of enablers and impeders of CP based on the literature review and experts opinions. The second phase applies Total Interpretive Structural Modelling (TISM) as a tool to construct hierarchical structures of the enablers and impeders of CP. The third phase deals with the development of HCP based on the hierarchical structures of enablers and impeders. The HCP is then validated with two case studies in the Indian textile industry. Eight enablers and seven impeders were identified in the first phase. After analyzing these factors with TISM, the HCP was developed consisting of four parts: Foundation, Columns, Beam, and Roof. The existence of trust, commitment to long-term collaboration, top management support, adequate financial support, ability to deal with technological changes, and providing regular training to employees constitute the HCP Foundation to achieve supply chain collaboration. The study concludes with the managerial implications of HCP to help supply chain partners in becoming resilient during an uncertain business environment. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Reduction of a Tri-Modal Lorenz Model of Ferrofluid Convection to a CubicQuintic GinzburgLandau Equation Using the Center Manifold Theorem
The differential geometric method of the center manifold theorem is applied to the magnetic-Lorenz model of ferrofluid convection in an electrically non-conducting ferrofluid. The analytically intractable tri-modal nonlinear autonomous system (magnetic-Lorenz model) is reduced to an analytically tractable uni-modal cubicquintic GinzburgLandau equation. The inadequacy of the cubic GinzburgLandau equation and the need for the cubicquintic one is shown in the paper. The heat transport is quantified using the solution of the cubicquintic equation and the effect of ferrofluid parameters on it is demonstrated. The stable and unstable regions in the conductive regime and the conductive-convective regime is depicted using a bifurcation diagram. The noticeable discrepancy between the results of the two models is highlighted and the quintic non-linearity effects are delineated. 2021, Foundation for Scientific Research and Technological Innovation. -
Energy-Efficient Long-Range Sectored Antenna for Directional Sensor Network Applications
The popularity of Directional Sensor Network (DSN) is increasing due to their improved transmission range, spectral reusability, interference mitigation, and energy efficiency. In this paper, the radio module of the DSN is implemented using an eight-sector antenna array. Two types of sectored antennas, namely the Rectangular Patch Sectored Antenna (RPSA) and the Triangular Patch Sectored Antenna (TPSA), are proposed to operate at frequency of 2.4 GHz ISM band. The RPSA has a half-power beamwidth (HPBW) of 45 and a peak gain of 5.2 dBi, while the TPSA has an HPBW of 48 and a peak gain of 4.16 dBi. The design and performance evaluation of RPSA and TPSA in terms of gain, reflection characteristics (|S11|), and HPBW are conducted using Ansys High Frequency Structure Simulator (HFSS) and Vector Network Analyzer (VNA). To demonstrate the concept, the fabricated sectored antennas are connected to MicaZ Wireless Sensor Network (WSN) nodes using an indigenously designed Single Pole 8 Throw (SP8T) Radio Frequency (RF) switchboard. The performance of the DSNs based on RPSA and TPSA is evaluated using the Cooja simulator and a testbed consisting of MicaZ nodes. The results show that RPSA outperforms TPSA and omnidirectional-based WSNs in terms of power consumption, received signal strength, and packet delivery ratio. 2024 IETE. -
Analyzing the Inter-relationships of Business Recovery Challenges in the Manufacturing Industry: Implications for Post-pandemic Supply Chain Resilience
The COVID-19 pandemic brought about a rapid change in the global business environment, leading to increased risks of supply and demand disruptions. As society and the industry continue to acclimate to the new normal, the contributions of the manufacturing industry are critical in the recovery process. However, the existing literature lacks a framework to analyze the manufacturing sectors challenges during the recovery to enhance supply chain resilience (SCR). To address this gap, this study develops a framework for business recovery, especially in the manufacturing sector. A broad literature examination and expert survey were conducted to identify the critical potential business recovery challenges. Further, the interplay of business recovery challenges was analyzed using mixed methodologies such as total interpretive structure model and the cross-impact matrix multiplication applied to classification (MICMAC) to foster a framework that can assist the manufacturing industry in improving SCR. The study found that challenges like lack of flexible policies for handling disruptions and lack of management support toward building resilience have the highest driving power impeding business recovery. Other challenges, such as lack of reconfiguring production lines, lack of product competencies to meet disturbances, and less adoption of robust technologies are also identified as major challenges. The implications of the study offer valuable insights into global manufacturing industries. It also has significant propositions for the Pacific region. The Pacific region faces unique challenges, including geographic isolation, resource dependency, diverse economies, climate vulnerabilities, and complex trade relationships. The suggested frameworks adaptability and applicability to these regional characteristics enable businesses and policymakers in the Pacific to better understand and address the specific dynamics of post-pandemic recovery, ultimately contributing to enhanced SCR tailored to the regions needs. The study enriches the existing SCR literature by analyzing inter-relationships between business recovery challenges in the manufacturing industrys post-pandemic context. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2024.