Journal of Science & Technology (JST)
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Integrating azure network rules for storage account through terraform in CI/CD pipelines: automating storage account access restrictions to public IP
Get PDFThe research discusses the automation of the Azure storage account network rule through Terraform. Itadvocates for security enhancements like the inclusion of MFA in the case of a storage account and migrationtoward a zero-trust security model, automation of vulnerability scanning and compliance checks through the CI/CDpipelines, shifting left of security risk detection. Emphasis can also be laid on logging and monitoring activitiesregarding changes in network rules and attempts to access storage accounts. Advanced security coupled withautomation improves the management, security and operational efficiency of Azure storage accounts multiple
THE PLANET MARS IN COMPARISON TO EARTH, ESPECIALLY TECTONICALLY
Get PDFThere is considerable similarity between the planet Mars and planet Earth. Both were formed about 4 billionyears ago out of the solar nebula that gave rise to the sun and planets. Mars, however, is much smaller than Earth, itsmagnetic protection has been degraded, and accordingly also its atmosphere. The water on Mars, which once evenaccumulated sufficiently to form oceans, has largely evaporated and disappeared. The crust and lithosphere of Mars areof a unique configuration called a hemispheric dichotomy, which means that the crust is significantly thicker in thesouthern hemisphere than in the northern hemisphere
Editorial: Beyond conventional antibiotics: advancements in chemical modulators, biology, and microbiome modification
Get PDFResearchers have been exploring various alternative strategies to combat microbial infections, including bacteriophages, engineered antibodies, antimicrobial peptides, chemical modulation, microbiome manipulation, and novel technologies, in response to the global trend of increasing antimicrobial resistance. This Research Topic is based on these. The current area of study encompasses mABs, AMPs, anti-infective bone cements, a probiotic fungus, and antibiotic-free infection control, among other things
"Advancement in Neuromodulation Techniques for Neuropathic Pain: A Systematic Analysis"
Get PDFWhen the central nervous system—which includes the brain, spinal cord, and peripheral nerves—is injured or malfunctioning, it may lead to a persistent condition known as neuropathic pain. Thus, it is safe to say that neuropathic pain is a long-term condition that has enormous societal and healthcare systemic implications. It is anticipated that the prevalence of neuropathic pain will continue to climb, with estimates ranging from 7-8% in the general population. Neuropathy pain has a major effect on people's lives. Reducing the patient's symptoms of neuropathic pain and enhancing their quality of life is a challenge for the medical practitioner in India. Certain negative consequences, such as neuropathic pain, are more likely to manifest in the elderly. There has to be a distinct approach to managing neuropathic pain as it differs from nociceptive pain. A comprehensive literature study of neuropathic pain's causes, symptoms, progression, current treatment methods, and available pharmaceuticals formed the basis of this review paper. This study presents the clinical methods for neuropathic pain and their recommendations, as well as their practical application. Clinical data study with an emphasis on outcomes is used to alleviate neuropathic pain and related symptoms
Comparison of three triterpenoids' pharmacokinetic characteristics using UHPLC-MSMS after oral administration of a cucurbitacin tablet and nanosuspension
Get PDFCucurbitacin, a triterpenoid chemical derived from Pedicellus Melo, is the principal active ingredient of cucurbitacin tablets (CUT) prescribed for the treatment of primary liver cancer and chronic hepatitis. Oral bioavailability of pharmacopotent compounds may be enhanced using nanosuspensions. The pharmacokinetics of three cucurbitacin triterpenoids (CuB, CuD, and CuE) after oral administration of CUT and a new P. Melo nanosuspension (MP-NPs) in rats have never been studied before. Methods: The amounts of these cucurbitacin triterpenoids in the plasma were measured using UHPLC-MS/MS, which stands for ultra-performance liquid chromatography-tandem mass spectrometry. Using the positive ion mode for multiple reaction monitoring analysis, a sensitive, easy-to-use, and selective UHPLC-MS/MS technique was created. Waters Acquity HSS T3 (1.8 μm, 2.1 × 100 mm) was the chromatographic column used; the column temperature was 35 °C, and the flow rate was 0.3 mL/min, 5 μL injection volume, and a gradient elution of water (A) and methanol (B) was used as the mobile phase. The accuracy varied from -6.41% to -4.01% and the intra- and inter-day precision for all analytes was less than 13%. The data show that when the two groups of rats were given the same amount of CUT and MP-NPs orally, CuD and CuE had a longer elimination half-life (T1/2) than CuB, suggesting that CuB was eliminated more slowly. The triterpenoids in the MP-NPs group exhibited a considerable improvement in both Cmax and area under the plasma concentration compared to the CUT group, and they were able to attain Cmax in only 2 hours. Discussion: When compared to traditional CUT, the MP-NPs formulation greatly improved the oral bioavailability of cucurbitacin triterpenoids. These results highlight the promise of nanosuspension technology for enhancing the pharmacokinetic profile of treatments based on cucurbitacin. Additional research and therapeutic use of cucurbitacin nanosuspensions may benefit greatly from the findings of this study
Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention
Get PDFGender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all
Cognitive AI for Wildfire Management in Southern California: Challenges and Potentials.
Get PDFThe understanding of complex atmospheric phenomena to forecast wildfires with high accuracy has beendramatically transformed with the introduction of cognitive artificial Intelligence. Incorporating state of theart machine learning tools, including deep learning, Bayesian analysis along with decision trees, neuralnetworks, nearly all information from satellites and data collected in the past has been put into thesesystems. These systems permit cognitive AI to provide unparalleled forecasting that is granular and temporalaccurate thanks to its pattern recognition and real time variable adjustments capabilities.Research case studies covering the 2018 Camp Fire, the Bobcat Fire in 2020, and the Dixie Fire of 2021,have all supported AI's ability to predict and prevent the loss of property and lives. Many crucial strategiesincluding evacuation planning, resource deployment, and long-term wildfire prevention strategies inSouthern California have improved cognitive AI implementation. However, the remaining challenges are dataquality and availability issues, integration with existing management systems, and ethical considerationssurrounding of AI decision-making. This research focuses on fire behaviour simulations, increasing datafusion techniques, and. adaptive learning models. Integration of cognitive AI model with evolving technologieslike drones, IoT sensors, and edge computing holds a magnificent potentials for creating a more efficient andresponsive wildfire management ecosystem. Unsurprisingly, problems with AI technology remain, such asthe need for system integration, data inconsistencies, and ethical issues that AI decisions bring. AI decisionspose a mix of issues that are deeply analytical and calculative
Robotic Cloud Automation-Enabled Attack Detection and Command Verification Using Attention-Based RNNs, ConvLSTM, and Bayesian Networks
Get PDFBackground Information: The emergence of robotic cloud automation has brought about freshcybersecurity hurdles, particularly in protecting communication and control systems fromcyber threats. It is crucial to guarantee strong intrusion detection and verify commandseffectively.Objectives: Create an AI framework by combining deep learning and probabilistic models toimprove intrusion detection and command verification in cloud-based robotic systems.Methods: The system combines Attention-Based RNN, ConvLSTM, and Bayesian Networksto identify abnormalities and authenticate instructions, utilizing temporal and spatial data forinstant threat identification
Analyzing different cardiovascular medication combinations with vincamine: a simple, simultaneous, and environmentally friendly evaluation
Get PDFIt is crucial for sustainable pharmaceutical analysis to develop two environmentally friendly analytical methods
that can simultaneously determine eight cardiovascular drugs: hydrochlorothiazide (HCT), captopril (CPL),
lisinopril (LSP), valsartan (VAL), atorvastatin (ATR), bisoprolol (BSL), amlodipine (AML), and carvedilol
(CVL). Additionally, the nutraceutical vincamine (VIC) should be tested. Micellar Electro Kinetic
Chromatography (MEKC) and High-Performance Liquid Chromatography (HPLC) are investigated in this work
as potential tools for this objective
Metals, Polymers, and the Future of Manufacturing: An Interdisciplinary Roadmap for Industrial Engineers
Get PDFThe convergence of Industrial Engineering (IE) and Materials Science (MS) has emerged as acritical interdisciplinary framework for addressing contemporary manufacturing challenges,particularly in achieving sustainability and technological advancement. This review examinesthe evolving role of IE in navigating the demands of globalization, energy efficiency, andenvironmental stewardship through the lens of material innovation. By analyzing trends suchas Industry 4.0 and 5.0, additive manufacturing, and sustainable polymers, the studyhighlights how advancements in MS—such as nanotechnology, biodegradable materials, andmetal recycling—are reshaping industrial processes. The integration of human-centric design,energy-efficient systems, and circular economy principles underscores the necessity forcollaboration between academia and industry to drive scalable, eco-conscious manufacturingsolutions. The findings emphasize that the synergy between IE and MS is indispensable forfostering resilient, adaptive, and sustainable industrial ecosystems