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Spectroscopic Study Of Selected Be Stars In Our Galaxy
The optical spectroscopic monitoring observation of two Be stars namely 4 Hercules and 88 Hercules was observed with 1.02m telescope at the VBO, Tamil Nadu, India over a period of six months. The spectra were reduced using standard routines in IRAF. The equivalent width of the lines were identified have been measured. The line profile variability exhibited by H? H?and HeI lines are studied to understand the emission mechanism in the Classical Be-stars. The properties of the process can be well constrained, leaving only few options, most importantly, but not exclusively, non-radial pulsation and small scale magnetic fields. In different stars different processes may be acting. This is not only true for the disk structure, but as well for its variability, both cyclic and secular. Be stars, at lower metallicities, seem more common and more rapidly rotating. The Be phenomenon, linked with one or more mass ejection processes, acts on top of a rotation rate of about 75% of critical or above. In this work, first the definition of Be-stars is contrasted to similar classes, and common observables obtaind for Be-stars are introduced and the respective formation mechanism explained. The current state of knowledge concerning the central stars as non-radially pulsating objects and non-magnetic stars, as far as it concerns large scale. The weak magnetic fields remain possible, but are of yet unproven. In this dissertation Chapter 1 discusses the features of Be- stars and reviewed the progress made in understanding Be-stars in the recent past. Chapter 2 discusses the literature review. Chapter 3 describes the methodology carried out to study the objective. Chapter 4 explains the result and analysis part of the research. Chapter 5 is about the conclusions. -
Spectroscopic, crystal structure and DFT-assisted studies of some nickel(II) chelates of a heterocyclic-based NNO donor aroylhydrazone: in vitro DNA binding and docking studies
Five new nickel(II) complexes have been synthesised with an NNO donor tridentate aroylhydrazone (HFPB) employing the chloride, nitrate, acetate and perchlorate salts, and all the complexes are physiochemically characterized. Elemental analyses suggested stoichiometries as Ni(FPB)(NO3)]2H2O (1), [Ni(HFPB)(FPB)]Cl (2), [Ni(FPB)(OAc)(DMF)] (3), [Ni(FPB)(ClO4)]DMF (4), [Ni(FPB)2] (5). Aroylhydrazone is found coordinating in deprotonated iminolate form in four of the complexes (1, 3, 4, 5) however in one case (complex 2), two aroylhydrazone moieties are binding to the metal centre in the neutral and anionic forms. The structure of the bisligated complex 5, found using single crystal X ray diffraction studies confirmed that the metal has a distorted octahedral N4O2 coordination environment, with each of the two deprotonated ligands coordinating through the pyridine nitrogen, imino-hydrazone nitrogen and the enolate oxygen of the hydrazone moiety. To compare and study, the electronic interactions and stabilities of the metal complexes, various quantum chemical parameters were calculated. Moreover, Hirshfeld surface analysis was carried out for complex 5 to determine the intermolecular interactions. The biophysical attributes of the ligand and complex5 have been investigated with CT-DNA and experimental outcomes show that the Ni(II) complex exhibited higher binding propensity towards DNA as compared to ligand. Furthermore, to specifically understand the type of interactions of the metal complexes with DNA, molecular docking studies were effectuated. In addition, the electronic and related reactivity behaviors of the ligand and five Ni(II) complexes were studied using B3LYP/631 + + G**/LANL2DZ level. As expected, the obtained results from Natural Bond Orbital (NBO) computations displayed that the resonance interactions (n ? ?* and ? ? ?*) play a determinant role in evaluating the chemical attributes of the reported compounds. Graphical abstract: (Figure presented.). The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. -
Spectrotemporal Evolution in XTE J1701-462 during Its 2022 Outburst as Revealed by NICER
We present a comprehensive spectrotemporal study of the 2022 outburst of the transient neutron star low-mass X-ray binary (NS-LMXBs) XTE J1701?462 using 57 NICER observational epochs (E1?E57). The 0.8?10 keV lightcurve exhibits a FRED-like profile with multiple rebrightenings and intensity dips, indicating a nonmonotonic evolution of the accretion flow. Broadband spectral modeling with an absorbed Comptonized disk-blackbody model reveals a coherent evolution of spectral parameters consistent with changes in the disk?corona geometry driven by a varying mass accretion rate. The ??Fbol diagram shows distinct clustering, enabling the identification of six accretion states: LHS-1, IMS-1, HSS, IMS-2, LHS-2, and QS. These states trace the expected cycle of disk truncation, inward propagation, and recession, with notable deviations such as sustained coronal heating in IMS-1 and the HSS, likely caused by changes in coronal geometry or the limited bandpass of NICER. State-resolved hardnessintensity diagrams reveal that XTE J1701?462 exhibits a hybrid phenomenology: island and banana branches characteristic of atoll-state early in the outburst, followed by well-defined horizontal and normal branches during IMS-1 and the HSS. As the source decays through IMS-2 and LHS-2, the HID returns to isolated clumps with increasing hardness before entering quiescence. We detected a quasiperiodic oscillation (QPO) at ?27 Hz with a quality factor Q ? 3.4 during epochs E30 and E31. A Crab-based cross-calibration between NICER and NuSTAR shows that XTE J1701?462 reached a peak accretion rate of ?1.21 (Formula presented) ?Edd, suggesting near- or super-Eddington luminosities consistent with its 2006 outburst. 2026. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the https://creativecommons.org/licenses/by/4.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. -
Spectrum of corona products based on splitting graphs
Let G be a simple undirected graph. Three new corona products of graphs based on splitting graph of G are defined. The adjacency spectra of the three new graphs based on splitting graph of G are determined. The number of spanning trees and the Kirchoff index of the new graphs are determined using their nonzero Laplacian eigenvalues. 2023 World Scientific Publishing Company. -
Specular Reflection Removal Techniques in Cervix Image: A Comprehensive Review
Cancer detection through medical image segmentation and classification is possible owing to the advancement in image processing techniques. Segmentation and classification tasks carried out to predict and classify diseases need to be dependable and precise. Specular reflections are the high-intensity and low-saturation areas that reflect the light from the probing devices that capture the picture of the organ surface. These areas sometimes mimic the features that are key identifying factors for cancers like acetowhite lesions. This review article examines the various methods proposed for removing specular reflections from medical images, especially those captured by colposcope. The fundamentals of specular reflection removal and its associated challenges are discussed. The paper reviews several state-of-the-art approaches for specular reflection removal. The comprehensive review can be a strong foundation for researchers looking to decide on appropriate techniques to employ in their respective research approaches. 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Speculative investment decisions in cryptocurrency: a structural equation modelling approach
Cryptocurrency markets are inclined towards speculative usage due to the inherent high risk of financial loss and the potential for substantial gains during transaction completion. In response to this phenomenon, this study represents the inaugural effort to explore the influence of variables such as subjective norms, domain knowledge, impulsive investment tendencies, and self-control on decisions related to speculative investments. Utilising structural equation modelling with a dataset of 367 responses in India, the study is the first of its kind. The research reveals that subjective norms and domain knowledge play a significant role in influencing impulsive investment and self-control. Additionally, impulsive investment exhibits significant associations with decisions involving speculative investments. This insight underscores the complexity wherein individuals, despite exercising self-control, may still engage in speculative decisions that lead to adverse consequences. The findings have practical implications for investors and regulators, offering valuable insights into investment behaviours within the cryptocurrency realm. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Speech disabilities in adults and the suitable speech recognition software tools - A review
Speech impairment, though not a major obstacle, is still a problem for people who suffer from it, while they are making public presentations. This paper describes the different speech disabilities in adults and reviews the available software and other computer based tools that facilitate better communication for people with speech impairment. The motivation for this writing has been the fact that stuttering, one of the types of speech disability has affected about 1 percentage of the people worldwide. This fact was provided by the Stuttering Foundation of America, a Non-profit Organization, functioning since 1947. A solution to stuttering is expected to benefit a considerable population. Speech recognition software tools help people with disabilities use their computers and other hand held devices to satisfy their day-to-day needs which otherwise, require dedicated domestic help and also question the person's ability to be independent. ASR (Automatic Speech Recognition) systems are popular among the common people and people with motor disabilities, while using these techniques for the treatment of speech correction is a current research field and is of interest to SLPs/SLTs (Speech Language Pathologist / Speech Language Therapist). On-going research also includes development of ASR based software to facilitate comfortable oral communication with people suffering from speech dysfunctions, i.e., in the domain of AAC (Augmentative and Alternative Communication). 2015 IEEE. -
Speech to text conversion and summarization for effective understanding and documentation
Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in developing technologies that empowers the recognition and translation of speech into text. Text summarization extracts the utmost important information from a source which is a text and provides the adequate summary of the same. The research work presented in this paper describes an easy and effective method for speech recognition. The speech is converted to the corresponding text and produces summarized text. This has various applications like lecture notes creation, summarizing catalogues for lengthy documents and so on. Extensive experimentation is performed to validate the efficiency of the proposed method. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
Spherulitic crystallization of ?-In2Te3 by physical vapour deposition
Different morphologies of indium telluride (In2Te3) including novel spherulites were crystallized using the physical vapour deposition (PVD) method, by varying the difference in the growth and source zone temperature (?T) of a dual zone horizontal furnace assembled indigenously. Whiskers and kinked needles of In2Te3were grown at ?T = 250 K and 300 K respectively, maintaining the growth zone at 500 C. At high supersaturation (? T = 400 K), spherulitic crystals were obtained. The stoichiometric composition of these crystals has been confirmed using energy dispersive analysis by x-rays (EDAX). The structure of ?-In2Te3 spherulitic crystals is identified as zinc blende with lattice parameter a = 6.159 from x-ray diffraction (XRD) studies. The scanning electron microscope (SEM) images revealed the radial structure of the grown spherulites. The growth mechanism for the spherulitic crystallization of ?-In2Te3 crystals has been discussed based on the theoretical models. Copyright 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. -
Spider Monkey Crow Optimization Algorithm with Deep Learning for Sentiment Classification and Information Retrieval
The epidemic increase in online reviews' growth made the sentiment classification a fascinating domain in academic and industrial research. The reviews assist several domains, which is complicated to gather annotated training data. Several sentiment classification methodologies are devised for performing the sentiment analysis, but retrieval of information is not accurately performed, less effective, and less convergence speed. In this paper, we propose a sentiment paper proposes a sentiment classification model, namely Spider Monkey Crow Optimization algorithm (SMCA), for training the deep recurrent neural network (DeepRNN). In this method, the telecom review is employed to remove stop words and stemming to eliminate inappropriate data to minimize user's seeking time. Meanwhile, the feature extraction is performed using SentiWordNet to derive the sentiments from the reviews. The extracted SentiWordNet features and other features, like elongated words, punctuation, hashtag, and numerical values, are employed in the DeepRNN for classifying sentiments. To retrieve the required review, the Fuzzy K-Nearest neighbor (Fuzzy-KNN) is employed to retrieve the review based on a distance measure. With rigorous assessments and experimentation, it is observed that the proposed SMCA-based DeepRNN performs better in terms of accuracy of 97.7%, precision of 95.5%, recall of 94.6%, and F1-score 96.7%, respectively. 2013 IEEE. -
Spiking neural network with blockchain for tampered image detection using forensic steganography images
Accurate tools are required to acknowledge misleading images in order to maintain image legitimacy, and these tools must allow for legal operations on images. Additionally, after posting their images to the Internet, image owners lose rights over the images because there are no measures in place to safeguard them from misuse. One of the most well-liked techniques for addressing copyright disputes is the use of steganography technologies. The embedded steganography images can, sadly, be easily altered or deleted. To address this problem, this work presents the spiking neural network (SNN) with blockchain for tampered image detection utilizing forensic steganography images. Forensic steganography images that have been altered can be found with this SNN. Using steganography images from the database, SNN is trained in this model. The blockchain stores the owners access policies. The Python platform is used to implement the proposed strategy. F-measure, specificity, accuracy, precision, recall false positive rate (FPR), and false negative rate (FNR) are used to gauge how well the proposed approach performs. When compared to state-of-the-art approaches, the proposed approach obtained an impressive rise of 98.65%, in classification accuracy. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
Spin Frequency of Neutron Star in the Bright Atoll Source 4U 1705-44 Using NICER Observation
We conducted a systematic study of two thermonuclear type I X-ray bursts (B1 and B2) and the spectral properties of the bright atoll type neutron star low-mass X-ray binary 4U 1705?44 using NICER observation. In our analysis, a burst oscillation at ?702 Hz was detected during the double-peaked profile of burst B1. This provides the first strong evidence for the spin frequency of the neutron star, which establishes 4U 1705?44 as a rapid rotator. The measured convexity parameters of the bursts indicate that both bursts likely ignited at off-equatorial latitudes. The ignition depth of burst B1 was nearly twice that of B2, indicating substantial fuel consumption between the two events. The recurrence time of B2 (?1 hr) categorizes it as a short waiting time burst. The complementary spectral analysis of persistent emission, modeled with tbabsnthcomp+ diskbb), showed a hard state with a photon index ? < 1.12. The hardnessintensity diagram was consistent with the source being in the island state. Notably, the accretion disk appeared to extend close to the neutron star surface. 2026. The Author(s). Published by the American Astronomical Society. -
Spiritual Dispositional Coping and Health Hardiness on Stress and Related Illnesses: Aftermath COVID-19
The COVID-19 pandemic has caused an array of challenges that have taken a significant toll on psychological well-being and health. Public fear-mongering, hopelessness, and uncertainty have contributed to many negative emotions during the pandemic. The psychological ramifications of these emotions include stress, anxiety, and depression. The extreme stress that people experienced caused mental conditions like post-pandemic stress disorder. Literature suggests there is also an increased susceptibility to stress-related chronic illness. Another major concern post-coronavirus contraction is long COVID (post-acute sequelae of SARS-CoV-2 infection, or PASC), which further leads to complications impacting physical, cognitive, and mental health dimensions and multiple organ system syndromes. As a result of this predicament, there is an increased reliance on various complementary and alternative approaches and interventions for engaging in health-promoting behaviours. The chapter focuses on how spiritual dispositional coping and health hardiness can be used as health protective measures. It also focuses on various strategies that spiritual dispositional coping and health hardiness offer for overall well-being and better adaptation to post-pandemic complications. Therefore, this chapter aims to understand the pandemics stress-related health consequences, re-affirm the relationship between health hardiness and spiritual dispositions, and demonstrate how combining these strategies will provide effective coping methods. 2025 selection and editorial matter, Dr Uzaina, Dr Rajesh Verma with Dr Ruchi Pandey; individual chapters, the contributors. -
Spiritual Intelligence and Spiritual Care in Nursing Practice: A Bibliometric Review
Spiritual intelligence (SI) has recently gained traction in various fields, including nursing. Given the increasing emphasis on patient-centred care and the holistic well-being of patients and nurses, SI is particularly relevant in nursing practice. A bibliometric analysis of recent publications (20142024) in the field helps synthesise and evaluate the existing research on SI in the general field of nursing, identify literature gaps, suggest future research directions and raise awareness of the importance of SI in nursing practice. The present study reports bibliometric data (n = 461) from the Scopus database on SI, spiritual quotient and spiritual care in nursing and health care. The data are analysed using MS Excel and VOSviewer software. The publications trend analysis revealed a significant increase in SI-related publications since 2015. The study presents top-cited articles. Journal of Religion and Health was found to be a prominent journal with the maximum number of publications, and Sage was found to be the top publisher of journals with articles on SI. Network visualisation reveals central figures such as Wilfred McSherry, Trove Giske, Elizabeth Johnston Taylor, Fiona Timmins, Silvia Caldeira and Linda Ross as key researchers in the field. The United States and Iran have the most substantial connections of authors publishing on SI. This study reveals an increasing interest in SI and care within nursing research, confirming its growing significance in the field. By reporting areas where research on SI in nursing remains underdeveloped, the study paves the way for the development of new or updated curricula in nursing programs. The study can guide faculty development initiatives by highlighting the importance of SI and providing resources for educators to incorporate these concepts into their teaching. This study presents specific research questions to address these knowledge gaps. Future studies which can address these questions will enrich nursing education and practice, leading to improved patient outcomes and enhanced nurse well-being using the full potential of SI in nursing practice. 2024 Published by Scientific Scholar on behalf of Indian Journal of Palliative Care. -
Spiritual well-being and meaning in response to the absurd mediating the act of suicide in Becketts Waiting for Godot
The contagion of happiness appears as a dichotomic principle in the pursuit of a full life where the philosophy of the Absurd emerges as a foundational aspect in man's search for meaning, given the cognitive distortions and existential anxiety with which man endures his existence. Most organisational studies on meaning and well-being do not reference the Absurd from where the discourse must begin and from where mental states of flourishing or resignation can emerge. Beckett's absurdist play Waiting for Godot' acts as a compelling device for contemplating the art of finding meaning through the spiritual interface of man's relationship with himself, the problem of free will, an appeal to divine agency evidenced through Kierkegaard's Fear and Trembling' and the existential deliberations in Albert Camus's Myth of Sisyphus when examining the absurd and in invoking a transcendental movement towards finding purpose. In all the relativism of moral codes that are expounded, a constant element is the need for a spiritual anchor which can heal emotional fragmentation through a decisive moral code on which the edifice of the human condition can be reasoned. This explorative study provides a determining reference point when developing reflective interventions to examine meaning and existential purpose in social and occupational practice. The paper examines the concept of absurdism through the philosophy of Camus and juxtaposes this with the spiritual existentialism of Soren Kierkegaard and St Augustine in understanding the human condition as a forward movement from absurdism towards meaning. 2025 International Network for the Study of Spirituality and Taylor & Francis. -
Spirocyclic isatin-derivative analogues: Solvation, structural, electronic, topological, reactivity properties, and anti-leukaemic biological evaluation
The present work investigates, via computational methods, three spirocyclic isatin derivatives with ?-methylene-?-butyrolactone cores, whose synthesis, experimental data and structural-activity relationships have been reported, to compare their properties and biological action. DFT (Density Functional Theory) studies, including geometry optimisation, FMO Analysis, theoretical UV spectral analysis, NBO and NLO studies, are performed using Gaussian 09 W with a standard basis set. The IEFPCM model is employed to investigate the solvent effect on the reactivity and stability of the compounds. Topological analyses are also performed, including ELF, LOL, RDG and charge transfer studies. ADME profiling is performed using SwissADME online tool. Anti-leukaemic target proteins are selected and docked with the title compounds to understand their suitability to act against leukaemic conditions. 2023 Elsevier B.V. -
Spoken Language Identification using Deep Learning
A crucial problem in natural language processing is language identification, which has applications in speech recognition, translation services, and multilingual content. The five main Indian languages that are the subject of this study are Hindi, Bengali, Tamil, English, and Gujarati. A Deep Neural Network is introduced in the paper which is specifically made to use Mel-Frequency Cepstral Coefficients (MFCCs) for sophisticated language categorization. The suggested architecture of the model, which includes batch normalisation and tightly linked layers, helps it to be adept at identifying complex linguistic patterns. Comparing the research to the source work [18], promising improvements are shown, highlighting the potential of the model in language detection. 2024 IEEE. -
Spontaneous hydrogen production using gadolinium telluride
Developing materials for controlled hydrogen production through water splitting is one of the most promising ways to meet current energy demand. Here, we demonstrate spontaneous and green production of hydrogen at high evolution rate using gadolinium telluride (GdTe) under ambient conditions. The spent materials can be reused after melting, which regain the original activity of the pristine sample. The phase formation and reusability are supported by the thermodynamics calculations. The theoretical calculation reveals ultralow activation energy for hydrogen production using GdTe caused by charge transfer from Te to Gd. Production of highly pure and instantaneous hydrogen by GdTe could accelerate green and sustainable energy conversion technologies. 2023 -
Spontaneous symmetry breaking as a late-time trigger for interacting dark energy
Persistent tensions in the Hubble constant (H 0) and the matter clustering parameter (S 8) motivate late-time new physics that suppresses structure growth while remaining compatible with current background constraints of the ?CDM model. We study a new class of dark sector dynamics in which a scalar dark energy (DE) field, governed by a ?2-symmetric quartic potential, interacts with dark matter (DM) through Yukawa and portal couplings. When the matter density drops below a critical threshold, a cosmological spontaneous symmetry breaking (SSB) mechanism generates a time-dependent vacuum expectation value v(a) and activates an effective coupling ?(a). This produces a symmetric phase (a ? ac) identical to ?CDM at early times, and a broken phase (a > ac) in which ?(a) > 0 transfers energy from DM to DE, suppressing the linear growth of structure. We confront this framework with RSD, BAO, CC, and Pantheon+SH0ES supernova data, jointly with compressed Planck distance priors, comparing a fixed ?CDM background to a self-consistent coupled scalar evolution. The RSD-only analysis shows a pronounced shift: the dynamical background yields ?m ? 0.31 0.10 and ? 80 ? 0.59 0.01, with a higher matter density but a substantially lower growth amplitude compared to the fixed background case ?m ? 0.20 0.09 and ? 80 ? 0.75 0.05. In the full joint fit, conditioned on geometric distance information, the inferred parameters are ?m = 0.29 0.01, H 0 = 69.7 0.6 km s-1 Mpc-1, and ? 80 = 0.78 0.01. These results demonstrate that a late-time, SSB-activated interaction can efficiently dampen structure growth and potentially alleviate the S 8 tension. In growth-dominated analyses such as RSD-only constraints, the inferred value of H 0 is only weakly affected by the coupling. However, in joint analyses including strong external distance calibrations, the inferred H 0 becomes sensitive to dataset choice and to whether the background expansion is treated self-consistently. 2026 IOP Publishing Ltd and Sissa Medialab. All rights, including for text and data mining, AI training, and similar technologies, are reserved. This article is available under the terms of the https://publishingsupport.iopscience.iop.org/iop-standard/v1. -
Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security
Recent security applications in mobile technologies and computer systems use face recognition for high-end security. Despite numerous security tech-niques, face recognition is considered a high-security control. Developers fuse and carry out face identification as an access authority into these applications. Still, face identification authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized user. In the existing spoofing detection algorithm, there was some loss in the recreation of images. This research proposes an unobtrusive technique to detect face spoofing attacks that apply a single frame of the sequenced set of frames to overcome the above-said problems. This research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused structure. First, this pro-posedmethodistestedwiththeCross-ethnicityFaceAnti-spoofing (CASIA), Fetal alcohol spectrum disorders (FASD) dataset. This database has three models of attacks: distorted photographs in printed form, photographs with removed eyes portion, and video attacks. The images are taken with three different quality cameras: low, average, and high-quality real and spoofed images. An extensive experimental study was performed with CASIA-FASD, 3 Diagnostic Machine Aid-Digital (DMAD) dataset that proved higher results when compared to existing algorithms. 2023, Tech Science Press. All rights reserved.