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SARDS: Secured anonymous routing with digital signature in wireless sensor network
A Wireless Sensor Network has witnessed a massive research towards security as well as energy efficiency in past decades. However, there are few studies that have witnessed a cost effective secure routing technique with energy effectiveness till date. Objectives: Our objective is to use public key cryptography for ensuring energy-efficient routing technique in Wireless Sensor Network. Method/Analysis: The proposed paper presents a technique called as SARDS (Secured Anonymous Routing with Digital Signature) that performs verification of the routing information exchanged among the sensors in Wireless Sensor Network. SARDS uses elliptical curve cryptography as the backbone of security formulations and performs authentication of all the communicating nodes present in the network. Findings: The system also allows a dual layer of security by introducing a novel signature based scheme towards public key encryption policy. The outcome of the study shows SARDS to excel best in performance in comparison of existing security and energy efficient routing schemes. Application/Improvements: Proposed SARDS technique offers 1) A novel public key encryption, 2) A novel digital signature scheme, and 3) A novel privacy or anonymous scheme. The outcome of the proposed system is also found to be superior as compared to existing protocols e.g. SecLEACH, LEACH and PEGASIS. -
SARIMA Techniques for Predictive Resource Provisioning in Cloud Environments
Seasonal Autoregressive Integrated Moving Average (SARIMA) models for dynamic cloud resource provisioning are introduced and evaluated in this work. Various cloud-based apps provided historical data to train and evaluate SARIMA models. The SARIMA(1,1,1)(0,1,1)12 model has an MAE of 0.056 and an RMSE of 0.082, indicating excellent prediction ability. This model projected resource needs better than other SARIMA settings. Sample prediction vs. real study showed close congruence between projected and observed resource consumption. MAE improved with hyperparameter adjustment, according to sensitivity analysis. Moreover, SARIMA-based resource allocation improved CPU usage by 12.5%, RAM utilization by 20%, and storage utilization by 21.4%. These data demonstrate SARIMA's ability to forecast cloud resource needs. SARIMA-based resource management might change dynamic cloud resource management systems due to cost reductions and resource usage efficiency. This research helps industry practitioners improve cloud-based service performance and cost. 2023 IEEE. -
SARIMA-Random Forest Framework for Forecasting Anthracnose Severity in Bottle Gourd Under Variable Transplanting Dates
Anthracnose, caused by Colletotrichum lagenarium, is an economically important disease affecting bottle gourd. This study aimed to evaluate the influence of transplanting time and weather parameters on anthracnose progression and to develop a forecasting framework using statistical and machine-learning models. Field experiments were conducted during the monsoon seasons of 2023 and 2024, with four transplanting dates: 1 June, 15 June, 1 July and 15 July. Disease severity was assessed weekly on leaves and fruits along with concurrent recording of weather data. Correlation and regression analyses revealed minimum temperature as the most influential weather variables, particularly during early transplanting dates. The regression models yielded the highest explanatory power for 1 June fruits (R2 = 0.675), while later transplanting dates showed reduced disease pressure and lower model accuracy. To capture seasonal trends and short-term predictability, Seasonal Autoregressive Integrated Moving Average (SARIMA) models with configuration (1,1,1) (1,1,1) [15] were applied. These models effectively forecasted disease progression, especially for July transplanting with lower mean squared errors (MSE < 200). Time series decomposition showed strong seasonal and trend components in early sowings, while cross-correlation analysis confirmed a 13-week lag between weather triggers and disease expression. This study emphasises the importance of transplanting time in disease development and demonstrates the potential of combining SARIMA and random forest models for developing weather-based early warning systems. These findings contribute to climate-resilient crop protection strategies and can aid in timely decision-making for anthracnose management in bottle gourd and related cucurbits. 2025 British Society for Plant Pathology. -
SarNet-1 -A Novel Architecture for Diagnosing Covid-19 Pneumonia and Pneumonia through Chest X-Ray Images
Coronavirus (COVID-19) is a contagious disease which begins with flu-like symptoms. COVID-19 arose in China and it rapidly spread throughout the globe, leading to a pandemic. For many, it was noticed that the infection started with fever, cough and finally leading to pneumonia. It is very necessary to differentiate between covid pneumonia and general pneumonia for appropriate treatment. Chest X-ray readings are useful for radiologists to identify the severity of infection. While computerising this mechanism, deep learning techniques are found to be very useful in extracting relevant features from medical images. This can help in differentiating pneumonia, COVID19 pneumonia and x-rays of a healthy person. Computer aided methods for identifying the presence of pneumonia can help health providers to a great extent for quick diagnosis. The X-rays gathered from freely available datasets are used in this work to propose an architecture for categorising X-rays into pneumonia and covid pneumonia. 2022 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved. -
SARS-CoV-2 Footprints in the Placenta: What We Know after Three Years of the Pandemic
As the COVID-19 pandemic continues into its third year, there is accumulating evidence on the consequences of maternal infection. Emerging data indicate increased obstetrics risks, including maternal complications, preterm births, impaired intrauterine fetal growth, hypertensive disorders, stillbirth, gestational diabetes, and a risk of developmental defects in neonates. Overall, controversial concerns still exist regarding the potential for vertical transmission. Histopathological examination of the placenta can represent a useful instrument for investigation and can contribute significant information regarding the possible immunohistopathological mechanisms involved in developing unfavorable perinatal outcomes. Based on current evidence, SARS-CoV-2 infection can affect placental tissue by inducing several specific changes. The level of placental involvement is considered one of the determining factors for unfavorable outcomes during pregnancy due to inflammation and vascular injuries contributing to complex cascade immunological and biological events; however, available evidence does not indicate a strong and absolute correlation between maternal infection, placental lesions, and obstetric outcomes. As existing studies are still limited, we further explore the placenta at three different levels, using histology, immunohistochemistry, and molecular genetics to understand the epidemiological and virological changes observed in the ongoing pandemic. 2023 by the authors. -
Sartrean Insights on Understanding the Repercussions of Rape Trauma in the Gripping Narratives of Roxanne Gay and Neesha Arter
Women have been subjugated to violence from time immemorial. One of the most horrific forms of violence is sexual violence and rape. Their voice was not heard until the rise of second wave feminism which began around 1970. Women started to write about their experiences in the form of memoirs to bring to light the atrocities of rape and the implications of trauma and its impact. Sexual assault inflicts profound psychological and emotional wounds that give rise to a condition referred to as Rape Trauma. Rape Trauma Syndrome includes of a wide range of physical and psychological signs such as insomnia, nightmare, flashbacks, anxiety, and depression and so on and they last for a long period of time in one?s life. The research uses two memoirs written by American women, Roxanne Gay?s Hunger: A Memoir of my Body (2017) and Neesha Arter?s Controlled: The worst Night of my Life and its Aftermath (2015). The research uses Sartre?s perspective on embodiment, freedom, self to analyse rape trauma. The research uses Jean Paul Sartre?s concept to analyse the immense effects of rape trauma on the lives of the two women as documented in their memoirs. Using the framework provided by Constance L. Mui, the research delineates how rape trauma destroys the fundamental project of the protagonists and how rape trauma annihilates an individual from her own body and isolates her from the world. 2024 Sciedu Press. All rights reserved. -
Saving and investment behaviour of information technology professionals - An empirical analysis /
Asian Journal Of Research In Business Economics And Management, Vol.7, Issue 6, pp.71-91, ISSN: 2249-7307. -
Scalability of software defined network on floodlight controller using OFNet
Software Defined Network is the thriving area of research in the realm of networking. With growing number of devices connecting to the global village of internet, it becomes inevitable to adapt to any new technology before testing its scalability in presence of dynamic circumstances. While a lot of research is going on to provide solution to overcome the limitations of the traditional network, it gives a call to research community to test the competence and applicability to hold up the fault tolerance of the solution offered in the form of SDN Controllers. Out of the accessible multiple controllers with enabled the SDN functionalities to the network infrastructure, one of the best choice in controllers is Floodlight Controller. This research article is a contribution towards performance evaluation of scalability of the Floodlight Controller by implementing dual scenarios implemented, experimented and analyzed on the emulation tool of OFNet. Floodlight Controller is tested in the emulation environment by observing eight different parameters of the controller and checked its performance in scalable networking conditions over linear topology by gradually increasing the number of nodes. 2017 IEEE. -
Scalable AI Models for Real-Time Ethical Decision-Making in Autonomous Business Operations
This study explores the application of scalable AI for real-time ethical decision-making in autonomous business running. The study takes into an account the crucial concerns i.e., the bias, fairness, robustness etc., working on the congruency of ethics and operational efficiency. This research investigates AI's impact on decision quality through a series of analyses interpreting visuals (in the form of decision accuracy comparisons, stakeholder satisfaction, and resilience when facing adversarial scenarios). Results show that scalable AI models display higher ethical adaptability and an ability to learn from changing regulatory and operational environments. The research emphasises the need for proper balance of morals and technological advancement in order to enable transparency, accountability, and reliability in autonomous devices. 2025 IEEE. -
Scalable Quantum Computing Approaches for Next-Generation Edge and IoT Devices
The fast development of Internet of Things (IoT) and edge devices requires secure energy efficient and scalable solutions to computing in highly resource-constrained environments. In the post-quantum future, classical cryptographic and computational algorithms will be restricted in the ability to fulfil stringent performance and security requirements, such as high latency, bandwidth, and security. Such issues might be solved by the framework proposed in this paper which is built upon the ideas of lightweight quantum algorithms, quantum-inspired optimization, and post-quantum security primitives in the form of a scalable quantum-assisted hybrid architecture. the architecture is heterogeneous, supporting a variety of deployment types in the Internet of Things, with modular quantum co-processors and cloud-edge interconnection making them deployable. Experimental measurements are showing 32 per cent less encryption decryption latency than RSA/ECC and PQC baselines, as well as enhanced fault tolerance in noisy settings and scalability in the thousands of devices. These outcomes underscore the technical contributions achieved by the proposed architecture as well as the practical viability of the proposed architecture in next generation IoT systems. The bridge between theoretical advancements and deployment-oriented design is an essential contribution that the study provides in guaranteeing the security, intelligent, and sustainability of the IoT ecosystems based on scalable quantum approaches. 2025 IEEE. -
Scalable synthesis of 2D-layered Ti3C2 MXene by HF etching method; electrochemical investigations and device fabrication to enhancing capacitive nature
The goal of the current effort is aimed to synthesise the uniform exfoliated titanium carbide (Ti3C2) MXene sheets by utilising hydrofluoric (HF) acid to remove/etch aluminium from the parental Ti3AlC2 MAX phase. The Ti3C2 MXene was investigated by structural analysis using X-ray diffraction (XRD), Higher Resolution Transmission Electron Microscope (HRTEM), Scanning electron microscope (SEM), and EDS with mapping for morphological and elemental analysis, Moreover, the Ti3C2 MXene was studied its electrochemical properties to electrochemical energy storage application using cyclic voltammetry (CV), Galvanostatic chargedischarge (GCD) and electrochemical impedance spectroscopy (EIS) techniques. Since the GCD analysis of Ti3C2 MXene, a great specific capacitance (Csp) of 318F/g was attained with current density of 1 A/g and up to 90 % retentivity was attained after 7500 cycles. Besides, fabricated Ti3C2 MXene||Ti3C2-MXene symmetric supercapacitor device (SSD) has described the energy density (ED) of 27.78 Wh/kg at a power density (PD) of 400 W/kg and the capacitive retention existed attained 92.1 % after 7500 cycles with 5 A/g. 2024 Elsevier B.V. -
Scalable, Cost Effective IoT Based Medical Oxygen Monitoring System for Resource Constrained Hospital Environment
Oxygen therapy is one of the critical treatments employed in epidemics, pandemics, and natural calamities. Recent covid pandemic worldwide witnessed many deaths due to improper management, delayed delivery, and wastage of medical oxygen. Therefore, efficient utilization of available oxygen is very important. To monitor and manage oxygen, several hospitals employ IoT-based systems. Scalability is an essential feature in such monitoring systems in order to cater to the needs of a sudden surge in the number of patients requiring oxygen. The most commonly employed technique to monitor and manage an oxygen cylinder uses a pressure sensor where scaling up is an issue. Therefore, in this paper, a scalable solution that efficiently measures and monitors the available oxygen in the cylinder is proposed. The approach measures oxygen level using a weight sensor module and raises alerts during critical conditions such as low oxygen level and blockage or leakage of oxygen. The proposed system is a cost-effective, plug-and-play system that aids rapid deployment thereby providing timely care to the patients. Also, it does not require any change in the existing infrastructure making it suitable for a resource-constrained environment. The proposed system supports a web-based dashboard and mobile app that can be remotely accessed. 2022 IEEE. -
Scalar multiplication based matrix public key cryptography
In this work, a matrix key is used as Global Parameter. The work is considered for a large prime number which constitutes the field. A random integer is considered as private key and the Global matrix is exponentiated by the private key to generate public key. The process supports for Security features like authentication and confidentiality which are the necessary services for encryption process. Since the process supports Discrete Lagorithm problem, which is a hard problem it supports sufficient security against crypto analysis. In this work, instead of doing direct exponentiation of matrix key to the power of integer (Private Key), the study focuses on different scalar multiplication techniques that can be performed on matrix key during its exponentiation process to reduce the amount of computing resources for the completion of the process. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Scaling new heights: personal transformation through high altitude trekking in the Himalayas
In recent times, the human-nature continuum is being explored and studies have shown different kinds of terrains and nature evoke different emotional responses in individuals. Trekking in high-altitude mountains is one kind of nature and is special in terms of the height, the extent of naturalness and the experience of living in the wilderness that is involved. The current study focuses on understanding the experience of high-altitude trekking for novice Indian trekkers. The semi-structured interview data from eight participants who had gone on four different treks in the Himalayas was analysed using Interpretative Phenomenological Analysis. The following themes- motivational factors, preparation, environmental shift, social relationships, psychological impact and physical impact- emerged with personal transformation being the essence of the experience. The themes bring forth the various psychological benefits of interacting with nature whilst facilitating social connection. The research emphasises the psychosocial benefits of the trekking experience and paves the way for a holistic approach towards health and well-being in theoretical and therapeutic approaches in the Indian scenario. The Author(s) under exclusive licence to Outdoor Education Australia 2025. -
Scaling the bars: The relationship between women entrepreneur well-being and work-life balance
This chapter aims to focus on women entrepreneurs, who sometimes confront the double constraints of managing both company and personal duties. This study examines the particular difficulties faced by female entrepreneurs in striking a sustainable balance, emphasising the absence of support networks like accessible childcare as well as gender stereotypes and cultural expectations. The study assesses how their productivity, well-being, and company performance are affected by a poor work-life balance. It also looks into the tactics used by female business owners to overcome these obstacles, such delegation, selfcare, and time management. In order to promote a more inclusive entrepreneurial ecosystem, the chapter also suggests legislative initiatives, such as flexible work schedules and improved support networks. 2025, IGI Global Scientific Publishing. -
Scaling up women-led businesses: A critical analysis of crowdfunding and alternative financing models
Women-led businesses have gained significant traction globally, yet many still face barriers to accessing traditional forms of financing. Crowdfunding and alternative financing models present new opportunities for these entrepreneurs to scale up and grow their ventures. This study critically examines how these models impact the growth, profitability, and long-term sustainability of women-led businesses. It identifies both the advantages and limitations of using crowdfunding and alternative financing mechanisms, such as peer-to-peer lending and microfinance, in fostering entrepreneurial success. The research further explores the challenges women entrepreneurs encounter in adopting these models, including the gender bias present in many crowdfunding platforms. This paper presents actionable solutions for improving the effectiveness of alternative financing in supporting women-led businesses. The study's findings contribute to both academic research and practical business strategies, offering a roadmap for empowering women entrepreneurs in the evolving financial landscape. 2025, IGI Global Scientific Publishing. All rights reserved. -
School alienation in online schooling scale (SAOSS): development of a measure to assess school alienation among students
This study reports on developing and validating the School Alienation in Online Schooling Scale (SAOSS). School alienation in online schooling is conceptualized as opposed to school belonging and the main reason for minimal participation, reduced educational benefits, and school dropout in school aged-children, especially during the online learning forced due to the COVID-19 Pandemic. This study includes three phases. The first study included item generation and analysis. After the initial analysis, 13 items from the tool were retained. In the second study, exploratory factor analysis was conducted. Two factors emerged from principal component analysis (PCA). In the third study, we investigated the confirmatory factor analysis of SAOSS with a sample of urban students in Iran (grades 79, n = 317). The SAOSS has important implications for researchers, school counselors and psychologists, policymakers, and stakeholders. Implication for theory, practice and future research is discussed. 2024 International School Psychology Association. -
School corporal punishment, family tension, and students internalizing problems: Evidence from India
There is considerable evidence that parental corporal punishment (CP) is positively associated with childrens behavioral and mental health problems. However, there is very little evidence addressing whether CP perpetrated by teachers or school staff is similarly associated with problematic student functioning. To address this gap in the research literature, data were collected from students in a locale where school CP continues to be widely practiced. Participants were 519 adolescents attending public or private schools in Puducherry, a city in eastern India. Students completed surveys assessing school CP, internalizing problems, social support, and resilience. The results indicated that 62% of the students reported experiencing school CP in the past 12 months, with males and those attending public schools being significantly more likely to report school CP than females and those in private schools. Youth who reported school CP reported more anxiety and depression. That relation was more pronounced in youth who reported family tension. Social support and resilience did not moderate the relations. The findings add to the substantial evidence about negative associations regarding the use of CP but in a new venuethe school, and provide some evidence for the need to change how students are disciplined in schools in India and elsewhere. 2016, The Author(s) 2016. -
School the leaders in the humanities
The decline in demand for humanities disciplines is often attributed to the allure of materialistic pleasures and the perception of greater employability in non-humanities subjects.