Browse Items (16481 total)
Sort by:
-
Stress and Decision-Making among Civil Aviation Pilots in India: Mediating Role of Cognitive Flexibility
Objective: The study aims to investigate the difference between stress, decision-making, and cognitive flexibility based on demographic factors and the mediating role of cognitive flexibility on the association of stress and decision-making among civil aviation pilots. Methods: Data was collected from 372 commercial pilots from India through an online survey. The survey comprises standardized tools, including perceived stress, decision-making, and cognitive flexibility. Results: No significant gender difference was found in stress, decision-making, and cognitive flexibility. Age and work experience influenced stress levels, with mid-career pilots reporting the highest stress. Stress has a negative impact on pilots' decision-making ability. Cognitive flexibility partially mediates this relationship. Conclusion: Integrating cognitive flexibility training and stress management interventions into pilot training programs could significantly improve decision-making under pressure for safer aviation practices. 2025 Indian Journal of Occupational and Environmental Medicine. -
Stress and Depression in Gen Z
[No abstract available] -
Stress and resilience in British Indian parents with an autistic child: a comparative study with white British and Indian parents
Purpose: This study aims to examine the levels of stress and resilience in a sample of British Indian parents bringing up a child with autism. Design/methodology/approach: A total of 52 British Indian parents took part in a survey that included measures of stress, resilience, support and child adaptive functioning. Results were compared to a sample of white British (n = 120) and Indian parents (n = 120). Findings: The British Indian parents recorded higher levels of stress and less perceived social support than their white British counterparts. British Indian parents took longer to register concern about their childs development and sought a diagnosis at a later age than the white British group. The delay in concern and diagnosis was similar to that found in the India group. Originality/value: The research suggests that British Indian parents are disadvantaged in social support and mental well-being compared to white British parents and may face similar community pressures to parents bringing up a child in India. 2023, Emerald Publishing Limited. -
-
Stress Level Detection in Continuous Speech Using CNNs and a Hybrid Attention Layer
This paper mainly targets stress detection by analyzing the audio signals obtained from human beings. Deep learning is used to model the levels of stress pertaining to this whole paper followed by an analysis of the Mel spectrogram of the audio signals is done. A hybrid attention model helps us achieve the required result. The dataset that has been used for this article is the DAIC-WOZ dataset containing continuous speech files of conversations between a patient and a virtual assistant who is controlled by a human counselor from another room. The best results obtained were a 78.7% accuracy on the classification of the stress levels. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024. -
Stress Management among Employees in Information Technology Sector Using Deep Learning
Information technology is one of the areas in India that is developing the quickest India's information technology (IT) administrations industry has become more merciless. The information technology area has been managing additional difficult issues like specialized development, administration enhancement, and worldwide overhauling starting from the beginning of this long period. Along these lines, it is unimaginable for everybody to adjust to the moving difficulties they experience in the field of information technology, which causes stress. Stress is something that individuals battle with for most of their lives. Albeit the information technology (IT) industry is notable for its hazardous turn of events and development, it is likewise portrayed by high worker burnout and stress levels. This theoretical proposes an original strategy for overseeing stress in the IT business that utilizes deep learning methods. This study utilizes deep learning calculations to expect, distinguish, and decrease stress makes all together location the earnest issue of stress among IT experts. The principal objective is to make a shrewd framework that can help organizations proactively recognize stress-related issues in their labor force and proposition specific cures. 2024 IEEE. -
Stress mindset as a mediator between self-efficacy and coping styles
Stress mindset is a lens through which one views stress and its consequences as beneficial or harmful for them. It is a distinct variable that differs from frequency, amount, and intensity of stress. The literature review indicated that stress mindset could mediate the link between self-efficacy and coping style, which was previously not tested. Hence, the study aimed; 1) to examine the relationship between self-efficacy, stress mindset, and coping style; 2) to investigate the influence of stress mindset and self-efficacy on coping styles; 3) to find whether stress mindset mediates the association between self-efficacy and coping styles. The study employed a correlational research design, whereby through multi-phase sampling recruited 727 participants (male = 300, female = 427, mean age = 16.26) studying in 11th and 12th standard. The researchers administered validated stress mindset, self-efficacy, and coping style and performed a multiple correlational and regression analysis. They computed mediation analysis using Hayes model 4 in Process Macro. The finding indicated that the association between self-efficacy and self-controlling coping style is mediated by stress mindset. Furthermore, it mediated the connection between some sub-domains of self-efficacy and coping styles. The data were evident to infer that individual with high self-efficacy can interpret social stressors as beneficial and improve their coping skills. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Stress Monitoring and Intervention for Women Using Enhanced BERT Models
Todays competitive world empowers women to lead their own lives, fostering innovation and inevitable growth in the industry. However, inclusivity in the corporate world is still a challenge for women. They have the pressure to meet societal expectations, familial responsibilities, and physiological changes associated with different stages of life. A concerning trend in society is the exponential increase in stress levels among women, a reflection of the evolving challenges and demands that women encounter to make themselves stand out from the rest. Various researchers have found that the number of women experiencing work-related stress is 50% higher than the number of men of the same age. The growing use of wearable Internet of Things (IoT) devices provides an opportunity to expand stress monitoring and intervention techniques in various situations, especially those that might be life-threatening. This study sought to confidently gain insights on stress monitoring for women through data collected by wearable IoT devices by segregating data based on device types. Applying a classification algorithm (transformer model) to determine the accuracy of stress indicators for these devices led us to build the stress accuracy prediction model. The existing BERT model is enhanced to process data beyond plain text. It is designed to uncover hidden patterns and trends associated with womens stress levels based on their pulse rates. These comparisons are portrayed using data visualizations. Using this enhanced BERT model adapted from the existing numerical algorithm, categorical data from IoT wearable devices is tested to accurately predict stress levels among women. This analysis demonstrates high predictive accuracy, with the earring IoT device achieving the highest accuracy of approximately 92%, indicating the effectiveness of the proposed model in stress monitoring across different wearable devices (earring, ring, and shoe). The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Stress strain characteristics of reinforced hollow concrete block masonry melded with mesh reinforcement
Plain Masonry similar to unreinforced concrete, is resilient in compression and weak in tension. Masonry gains strength with age similar to concrete. Inspite of these resemblances, there exist numerous differences between masonry and concrete. The major difference is the regular pattern of horizontal joints(known as bed joints) at specific intervals along the height of walls introduce due to the method of construction of masonry. These bed joints make masonry a direction dependent material possessing orthotropic properties, unlike concrete which is usually regarded as isotropic atleast in the elastic range. Mechanical properties such as compressive strength, tensile strength, flexural strength are a pre-requisite as part of the design of masonry walls. The present study deals with the experimental study to evaluate the mechanical properties of hollow concrete block masonry specimens for varying cement mortar proportions melded with mesh reinforcement at bed joints. Parameters such as compressive strength, modulus of elasticity, failure pattern have been studied and compared for reinforced and unreinforced hollow concrete block prisms. The study showed higher compressive strength and improved elastic modulus for specimens with higher grade of mortar Published under licence by IOP Publishing Ltd. -
Stress-Driven Changes in Ascorbic Acid Levels in Raphanus Sativus: A Comparative Study
Abiotic stresses such as extreme temperatures and salinity are known to significantly influence the nutritional quality of vegetables during cultivation and postharvest handling. However comparative study on how different abiotic stresses alter ascorbic acid stability in root vegetables like red radish is understudied. Thus, the present study was conducted to evaluate the effect of various abiotic stresses (heat, cold and salinity) on ascorbic acid (AA) levels and antioxidant activity in red radish (Raphanus sativus L.). DCPIP titration and DNPH UV-Vis spectrophotometric techniques were used to analyse the ascorbic acid content, and the DPPH radical scavenging assay was used to measure antioxidant capacity. The findings showed that as stress duration and intensity increased, the total AA content decreased significantly (p < 0.05). At high temperature (90 C), heat treatment resulted in a progressive decrease from 27.7 mg/100g to 20.8 mg/100g. Under cold stress, AA content increased slightly initially and then dropped by 22% on day 8. A two-phase response to salt stress was seen mild salt concentration leading to a moderately increased AA content, while severe salt concentration caused a 55% reduction after 72 hours. With an IC50 value of 8.27mg/mL, the antioxidant activity increased as extract concentration increased from 3.8% to 62.1% inhibition. According to these findings, red radish exhibits a short-term adaptive defence in mild stress situations but a significant decrease in AA in severe stress situations. These findings are consistent with previous reports in other related vegetables such as tomato, broccoli and spinach, where moderate abiotic stress increases antioxidant defences before degradation occurs. These results suggest the need for efficient postharvest management and stress-aware storage techniques to preserve the functional and health-promoting qualities of red radish. 2026 The Author(s). -
Stress, immunity, and personality: Mechanisms and interactions
The interaction between personality and immunity is a fascinating area of study that addresses how psychological characteristics can influence mental health. Among the many psychological characteristics, personality patterns play a significant role in shaping how individuals respond to stress and, subsequently, how their immune systems function. This chapter proposes to provide a detailed exploration of the complex interplay between stress and the immune system and its implications on behavior with an emphasis on stress prone and stress resistant personalities. It will delve into the physiological pathways through which stress affects immune function, how different personality types influence stress responses and immune function and discuss the broader implications for health and disease. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Stress, resilience, and brain performance
The chapter explores the complex interplay among stress, resilience, and optimal cognitive functioning within the context of leadership. It researches the neuroscience of stress, chronic stress's neurobiological effects, and resilience's buffering function. This chapter examines evidence-based stress management techniques and provides practical strategies for developing resilience. The chapter elucidates the neuroscientific underpinnings that support the notion that resilience influences problem-solving, creativity, and decision-making. Real-world illustrations serve to demonstrate the adept navigation of challenges by resilient leaders. Case studies illustrate the integration of resilience practices by organizations. Furthermore, the text covers practical leadership advice and the overarching concept of organizational resilience concerning neuroleadership. 2024, IGI Global. All rights reserved. -
Stride Insights: AI-Powered Field Position Forecasting System
This research discovers an AI-predictive model that uses a variety of machine learning algorithms to predict the top five finishers in a race. Horse racing is one of those paradigms that presents a challenging dataset against which the race outcomes can be predicted. Horse racing involves numerous variables: horse performance metrics, race conditions, and the jockey, together, decide the outcome of a race. To tackle such complexity, we test several algorithms, including CatBoost, Random Forest, k-Nearest Neighbors, Logistic Regression, Decision Trees, Support Vector Machines, Linear Regression, Naive Bayes, and Gradient Boosting, relating to the incorporation of categorical and continuous data. Our experiments demonstrate that the highest accuracy was achieved with CatBoost, which allows the model to handle categorical features well and is resistant to overfitting. The game theory component supplies useful elements in the strategic interaction between competing horses, thereby further increasing predictive accuracy. Performance metricsaccuracy, precision, and recall were used to estimate each model. The accuracy of CatBoost was found to be 74.1, while others were less accurate. This research provides an important resource for racing stakeholders, from trainers to punters. The research will be valuable in delineating race strategy and which horses are likely to win. This is an advancement in horse racing analytics and lays the foundation for predictive modeling to be explored in similar competitive environments in the future. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Striving for Decent Work: Assessing Kerala's Progress Toward SDG Labour Targets
This Article delves into Goal 8 of the Sustainable Development Goals, which is pivotal in ensuring universal access to quality employment, thereby diminishing unemployment and, consequentially, alleviating widespread poverty. It underscores the global consensus on essential facets of equitable employment opportunities, encompassing job availability and social security for workers. Drawing upon data primarily sourced from the State Statistical Office in Kerala, this paper examines the myriad aspects and indicators of decent work and presents the latest empirical findings. Our analysis reveals that a glut in labour supply coupled with scant employment opportunities escalates unemployment rates, notably affecting women and youth. This challenge is further exacerbated by structural inefficiencies and socioeconomic disparities. To counter these issues, the study proposes several strategic interventions. Enhancing educational and vocational training for women not only equips them with necessary skills but also fosters an inclusive workforce. Additionally, bolstering the capabilities of labour inspectorates can ensure adherence to labour standards and promote decent work conditions. Effective management of the Decent Work phenomenon is crucial and requires comprehensive policy frameworks that integrate these elements. By implementing these strategies, there is potential to significantly transform the labour market dynamics, promoting sustainable economic growth and social equity. This paper aims to contribute to the discourse on employment policies, advocating for informed decisions that are pivotal in achieving the targets set forth in Goal 8 of the Sustainable Development Agenda. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Stroke disease classification from computed tomography images using Inception Harmonic LeNet and wavelet- symmetrically weighted local gradient pattern features
Stroke is a leading cause of mortality, making prompt and precise diagnosis essential for effective treatment. Computed Tomography (CT) screening is crucial in identifying stroke types, particularly ischemic and hemorrhagic strokes. Existing automated methods lack the accuracy and consistency required for reliable stroke diagnosis. Therefore, a novel Inception Harmonic LeNet (InHLeNet) approach is devised for stroke disease classification. Initially, CT scans are collected and subjected to preprocessing, which is done using guided filtering and an improved Non-Subsampled Shearlet Transform (NSST) threshold. The filtered images are then segmented using the Dimension fusion U-Net (D-UNet). Subsequently, augmentation is performed by local augmentation and self-augmentation, where local augmentation introduces localized variations within each CT image, and self-augmentation generates feature-guided transformations of lesion regions. Further, the wavelet transforms with Symmetrically Weighted Local Gradient Pattern (Wavelet-SWLGP) features are extracted. Lastly, stroke disease is classified using InHLeNet, which merges InceptionV3Net, LeNet, and Harmonic analysis. The performance of InHLeNet is assessed using several evaluation metrics, including accuracy, True Positive Rate (TPR), True Negative Rate (TNR), and Matthews Correlation Coefficient (MCC). The results attained using the InHLeNet model is accuracy of 96.888%, TNR of 96.381%, MCC of 96.777%, and TPR of 97.988%, with image size, highlighting its effectiveness. 2026 Elsevier Ltd -
Strongly connected interval-valued fuzzy graphs
In interval-valued fuzzy graphs (IVFGs) strong paths need not exist between every two nodes in contrast with fuzzy graphs. Based on this, we define a particular class of interval-valued fuzzy graphs called strongly connected interval valued fuzzy graphs (SCIVFGs). A connected IVFG in which a strong path always exists between every two nodes is called a SCIVFG. We prove several sufficient conditions for an IVFG to be strongly connected. Finally we show that strong connectedness is preserved under isomorphism and co-weak isomorphism. 2020, Research Publication. All rights reserved. -
Structural analysis of log periodic and monopole antennas considering cyclonic, interference effects
The Broadband High Frequency (HF) Transmit and Receive Antenna System are used as Surface Waveover the Horizon Radars (SWOTHR) for surveillance application. HF Transmit & Receive antenna systemconsists of transmit antenna and receive antenna array operating in HF band 2 to 30?MHz, which have tobe installed near sea shore. The antennas are of Monopole and Log periodic Dipole wire mesh antenna (LPDA). The height of Monopole and LPDA depends on wavelength ? of antenna. For HF band, the height range of receive is from 5 to 25m and transmit is from 10m to 100m. In this study, 10m high monopole for receive and 55m high 60m long Log periodic antenna for transmit are considered. Structural analysis and design of these antennas is critical due to installation at sea coasts. Based on the application, receive antennas are designed as array type consisting of 64 numbers monopoles as 32 doublet's and transmit antennas are 2 numbers of LPDA. If the same height structures installed side by side as an array, wind interference is caused by the obstruction caused by a structure in the path of wind. The antennas are installing on sea coast subjected to cyclonic storms. Dynamic effect of cyclonic and interference of wind is studied. Wind loads are calculated as per IS: 875 part 3:2015. Antennas are analyzed using FEM software STAAD Pro Advanced Connect Edition. Both antennas are analyzedfor self-weight, wind loads considering cyclonic and interference factors. Natural frequency of structure is determined using modal analysis to examine the problems of wind induced oscillations and dynamic effects of wind. 2023 Author(s). -
Structural and antibacterial assessment of two distinct dihydroxy biphenyls encapsulated with ?-cyclodextrin supramolecular complex
?-Cyclodextrin plays a vital role in biological application because it can enhance the stability and solubility of the guest molecules in the supramolecular inclusion complexes. Moreover, the ?-Cyclodextrin inclusion complex has control-releasing behavior and lower toxicity than bare guest molecules. To improve the solubility and stability properties of two structurally different fluorescent guest molecules, namely 2,2?-dihydroxy biphenyl and 3,3?-dihydroxy biphenyls, they involve the ?-Cyclodextrin inclusion complex process. Optical measurements clearly described the efficient binding through the changes in the absorbance and emission intensities of guest molecules in the presence of ?-Cyclodextrin. The Job's plot from absorbance measurements reveals the 1:1 stochiometric ratio of binding of guests and the ?-Cyclodextrin host. The FT-IR spectra of the solid complex show the characteristic stretching and bending vibrations from both the guests and the host molecule. The 1HNMR spectra of the inclusion complex promote downfield shifting of guest molecule protons upon binding with the ?-Cyclodextrin host. The solid complex prepared using the solution method exhibits superior antibacterial activity against both gram-positive and gram-negative bacteria compared to the kneading and physical mixing methods. 2024 -
Structural and antibacterial assessment of two distinct dihydroxy biphenyls encapsulated with ?-cyclodextrin supramolecular complex
?-Cyclodextrin plays a vital role in biological application because it can enhance the stability and solubility of the guest molecules in the supramolecular inclusion complexes. Moreover, the ?-Cyclodextrin inclusion complex has control-releasing behavior and lower toxicity than bare guest molecules. To improve the solubility and stability properties of two structurally different fluorescent guest molecules, namely 2,2?-dihydroxy biphenyl and 3,3?-dihydroxy biphenyls, they involve the ?-Cyclodextrin inclusion complex process. Optical measurements clearly described the efficient binding through the changes in the absorbance and emission intensities of guest molecules in the presence of ?-Cyclodextrin. The Job's plot from absorbance measurements reveals the 1:1 stochiometric ratio of binding of guests and the ?-Cyclodextrin host. The FT-IR spectra of the solid complex show the characteristic stretching and bending vibrations from both the guests and the host molecule. The 1HNMR spectra of the inclusion complex promote downfield shifting of guest molecule protons upon binding with the ?-Cyclodextrin host. The solid complex prepared using the solution method exhibits superior antibacterial activity against both gram-positive and gram-negative bacteria compared to the kneading and physical mixing methods. 2024 -
Structural and functional characterization of a hypothetical protein in the RD7 region in clinical isolates of Mycobacterium tuberculosis an in silico approach to candidate vaccines
Background: Mycobacterium tuberculosis has been ravaging humans by inflicting respiratory tuberculosis since centuries. Bacillus Calmette Guerine (BCG) is the only vaccine available for tuberculosis, and it is known to be poorly effective against adult tuberculosis. Proteins belonging to the ESAT-6 family and PE/PPE family show immune responses and are included in different vaccine trials. Herein, we study the functional and structural characterization of a 248 amino acid long putative protein novel hypothetical protein 1 (NHP1) present in the RD7 region of Mycobacterium tuberculosis (identified first by subtractive hybridization in the clinical isolate RGTB123) using bioinformatics tools. Results: Physicochemical properties were studied using Expasy ProtParam and SMS software. We predicted different B-cell and T-cell epitopes by using the immune epitope database (IEDB) and also tested antigenicity, immunogenicity, and allergenicity. Secondary structure of the protein predicted 30% alpha helices, 20% beta strands, and 48% random coils. Tertiary structure of the protein was predicted using the Robetta server using the Mycobacterium smegmatis protein as the putative protein with homology. Structural evaluations were done with Ramachandran plot analysis, ProSA-web, and VERIFY3D, and with GalaxyWEB server, a more stable structure was validated with good stereo chemical properties. Conclusion: The present study of a subtracted genomic locus using various bioinformatics tools indicated good immunological properties of the putative mycobacterial protein, NHP1. Evidence obtained from the analyses of NHP1 using structure prediction tools strongly point to the fact that NHP1 is an ancient protein having flavodoxin folding structure with ATP binding sites. Positive scores were obtained for antigenicity, immunogenicity, and virulence too, implying the possibility of NHP1 to be a potential vaccine candidate. Such computational studies might give clues for developing newer vaccines for tuberculosis, which is the need of the hour. 2022, The Author(s).