Volume 14 | Issue 5 |

 Abstract

Cross-case correlation is an emerging modern digital forensics capability that enables investigators to discover patterns, threat actors, and methodologies across multiple seemingly unrelated incidents. Traditional forensic techniques examine cases in isolation, failing to take on the wider intelligence perspective needed to combat organised cybercrime

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 Keywords

Digital forensics, cross-case correlation, graph neural networks, similarity search, cyber threat intelligence

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 Abstract

Since it uses industrial byproducts, geopolymer concrete (GPC) has been studied as a sustainable construction material option that can reduce CO2 emissions. Studies done in the past on GPC demonstrate that it may be used structurally, has a workable slump, and has a similar strength grade to regular Portland cement concrete. In order to identify and present the most recent data and information on geopolymer concrete, this study has examined the mix design, mechanical properties, durability, and microstructure of GPC. An increased focus on energy efficiency and environmental protection has prompted research into alternate building materials. Reducing greenhouse gas emissions and lowering the amount of energy needed for material production are two important objectives for such investigations. Concrete is used more than water anywhere in the world. Traditionally, the main binder for creating concrete has been ordinary Portland Cement (OPC). At least 5 to 7 percent of CO2 produced worldwide comes from the manufacturing of cement. The proper disposal of fly ash, a hazardous waste product created by thermal power plants through combustion, is another significant environmental issue. This study gives details about the experimental investigation of geopolymer concrete. It shows that some parameter where fixed and the two parameter such as water to binder ratio and zones of sand was varied and from that the one having max compressive strength parameter were fixed. After fixing the parameters durability test of on geopolymer concrete of rapid chlorine penetration test and acid attack test was conducted and at last XRD test was conducted to known the microstructural investigation on geopolymer concrete. The mix design, mechanical characteristics, durability, and microstructure of GPC have all been studied in this study.

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keywords-- Geopolymer concrete, Greenhousegases, fly ash,Compressive strength, XRD test .

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 Abstract

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 Keywords

Sleep Apnea Detection, Embedded system, IOT, Machine learning, health monitoring system, oxygen saturation, respiratory monitoring

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 Abstract

Fungal infections are a common health concern affecting skin and mucosal surfaces, often leading to discomfort and secondary complications. The increasing resistance to synthetic antifungal agents and their associated side effects have created a need for safer and more effective alternatives. Herbal medicines, due to their natural origin, biocompatibility, and minimal adverse effects, are gaining attention in the field of pharmaceutical research. The present study aims to formulate and evaluate a herbal antifungal spray using extracts of guava (Psidium guajava) and neem (Azadirachta indica) leaves, both known for their potent antimicrobial and antifungal properties. The plant materials were collected, dried, and subjected to extraction using a suitable solvent system. The obtained extracts were incorporated into a spray formulation along with appropriate excipients such as solvents, preservatives, and stabilizers. The formulated spray was evaluated for various physicochemical parameters including pH, viscosity, drying time, and stability. The antifungal activity was assessed using standard microbiological methods against common fungal strains. The results demonstrated that the formulation exhibited significant antifungal activity and acceptable physicochemical properties

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 Keywords

Keywords: Psidium guajava, Azadirachita indica, medicinal value, antifungal properties, Herbal medicine, Antifungal spray, Solvent.

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 Abstract

Electro QuickCart is a full-stack, AI-driven product discovery application for electronics shopping, targeted at Indian consumers. It lets users describe what they want in natural language and returns the three best-matched products from trusted Indian retailers with real purchase links.

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This project presents a Smart Electric Vehicle (EV) Battery Management System (BMS) integrated with renewable energy sources and Vehicle-to-Home (V2H) functionality. The system monitors battery parameters such as voltage, current, and temperature in real time to ensure safe operation. Renewable sources like solar and wind are used for charging, with proper voltage regulation using power conditioning circuits. Active cell balancing is implemented to maintain uniform cell voltage and improve battery life. The system also enables backup power supply to home loads through V2H operation. Overall, the proposed system enhances battery safety, efficiency, and energy utilization.

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 Keywords

Smart Battery Management System (BMS), Electric Vehicles (EV), Vehicle-to-Home (V2H), Renewable Energy, Solar Energy, Wind Energy, Lithium-ion Battery, State of Charge (SoC), Cell Balancing, IoT Monitoring, Energy Management System

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Human cytomegalovirus (CMV) remains one of the most clinically significant opportunistic viral pathogens affecting immunocompromised populations, particularly hematopoietic stem cell transplant (HSCT) and solid organ transplant (SOT) recipients. Despite advances in antiviral pharmacotherapy, CMV infection continues to impose substantial morbidity and mortality due to limitations associated with conventional treatments, including toxicity, resistance, and pharmacokinetic challenges

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 Keywords

Maribavir, CMV, Pharmacology of Maribavir, Clinical Efficacy of Maribavir.

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Planctomycetes are a group of Gram-negative bacteria that have several peculiar features: they have compartmentalised cytoplasm, they divide without using FtsZ and they produce structurally diverse secondary metabolites with antimicrobial activity. Although they are widely distributed in the environment and are increasingly finding their way into the list of biosynthetic gene clusters, very little research has been conducted systematically for their conserved enzymatic targets as potential targets for antibacterial intervention. To assess binding interactions of eight clinically relevant antibiotics with a homology-modelled UDP-N-acetylglucosamine enolpyruvyl transferase target from the well characterised model planctomycete Rhodopirellula baltica, the present study uses an in silico molecular docking approach. The target enzyme 3D structure has been modeled using SWISS-MODEL and checked by the Ramachandran analysis. Antibiotic ligands, including rifampicin, ciprofloxacin, erythromycin, tetracycline, chloramphenicol, streptomycin, ampicillin and vancomycin, were retrieved from the PubChem database, energy-minimised, and docked into the predicted active site using AutoDock Vina. The contacts of active site residues and hydrogen bonding interactions were systematically analysed and binding affinities were calculated. The most bound ligand was rifampicin with six hydrogen-bond interactions with Ser142, Lys87, Asp231, Arg155, Gln45 and Tyr89 with -10.4 kcal/mol binding affinity, while erythromycin and ciprofloxacin had binding affinities of -9.6 and -9.2 kcal/mol, respectively. The affinity of aminoglycosides and beta-lactams was comparatively weak, which is also consistent with the previously reported resistance profiles of marine Planctomycetes. The study offers a structural explanation for the sensitivity of Planctomycetes to different classes of antibiotics and shows that the MurA-like enzyme is a potential in silico target for narrow-spectrum antibiotics discovery targeted against this phylum.

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 Keywords

Planctomycetes; Rhodopirellula baltica; molecular docking; AutoDock Vina; antibiotics; MurA; in silico drug design; binding affinity.

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Underwater Optical Wireless Communication (UOWC) is an emerging technology that enables high-speed data transmission in underwater environments using light waves, typically in the blue-green spectrum. Unlike traditional acoustic communication, UOWC offers significantly higher bandwidth, lower latency, and improved data rates, making it suitable for applications such as underwater sensor networks, autonomous underwater vehicles (AUVs), environmental monitoring, and military operations. However, the performance of UOWC systems is affected by challenges such as absorption, scattering, turbulence, and alignment issues in water.

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light waves, blue-green spectrum, acoustic communication, higher bandwidth, lower latency, improved data rates, autonomous underwater vehicles (AUVs), absorption, scattering, turbulence, alignment issues.

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 Abstract

Nipah Virus Infection (NVI) is a highly fatal zoonosis caused by a henipavirus, and is prevalent with periodic outbreaks in South and Southeast Asia. Outbreaks are closely associated with zoonotic spillover from fruit bats (Pteropus spp.) to humans, and are commonly linked with environmental change and human-animal interactions (WHO, 2023). In this regard, spatiotemporal genomic monitoring has become a vital method to monitor the viral evolution, detect clusters of transmission and predict the likelihood of outbreaks (Rahman et al., 2021). This research employs the One Health Approach to comprehensively explore human-animalenvironmental interfaces in the genesis of Nipah virus. The study will focus on the analysis of genetic evolution, spatiotemporal spread and multi-disciplinary risk factors. The research approach involves a phylogenetic analysis of the viral genome, Geographic Information System (GIS) for spatial mapping and epidemiological modeling to detect hotspots and transmission networks (Lo Presti et al., 2016). Major insights will provide understanding of mutation, spatiotemporal clustering and environmental risk factors of outbreaks (to be included post-analysis). It argues for integrated surveillance and inter-sectoral management for detection and prevention of outbreaks. These findings will enhance public health readiness, improve response efforts and guide policy responses to emerging zoonotic diseases in at-risk populations (to be incorporated after analysis).

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 Keywords

Nipah virus; zoonotic diseases; genomic epidemiology; One Health; spillover events; transmission dynamics; South Asia; Southeast Asia

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