2,556 research outputs found
Synthesizing efficacious genistein in conjugation with superparamagnetic Fe<sub>3</sub>O<sub>4</sub> decorated with bio-compatible carboxymethylated chitosan against acute leukemia lymphoma
Abstract Background Genistein (C15H10O5) is a soy isoflavone with anti-cancer properties such as inhibition of cell growth, proliferation and tumor invasion, but effective dosage against hematopoietic malignant cells was not in non-toxic range. This property cause to impede its usage as chemotherapeutic agent. Therefore, this hypothesis raised that synthesizing biocompatible nanoparticle could assist to prevail this struggle. Methods Genistein covalently attached on Fe3O4 nanoparticles decorated with carboxymethylated chitosan to fabricate Fe3O4-CMC-genistein in alkaline circumstance. This obtained nanoparticles were evaluated by TEM, DLS, FTIR, XRD and VSM and its anti-cancer effect by growth rate and MTT assays as well as flow cytometer on ALL cancer cell lines. Results Different evaluations indicated that the drug delivery vehicle had a mean diameter size around 12Æžm with well bounded components. This system presented high degree of magnetization and superparamagnetic properties as well as good water solubility. In comparison with pure genistein, significant growth inhibition on hematopoietic cancer cells in lower dose of genistein nano-conjugated onto Fe3O4-CMC. It increased long lasting effect of genistein in cancer cells also. Conclusion This delivery system for genistein could be remarkably promised and futuristic as biocompatible chemotherapeutic agent against hematopoietic malignant cells
Study of hole-transporter-free perovskite solar cells based on fully printable components
Hole-transporter-free perovskite solar cells carrying a carbon back contact electrode provide the possibility of making full printable low cost and stable devices, even though their efficiency is substantially lower than those made in the standard configuration. The present work searched for simple and easy routes for constructing such devices, demonstrating that organic components do enhance device efficiency but only to a level that is not worth the trouble nor the cost. Devices based on a triple mesoporous layer of titania/zirconia/carbon with perovskite infiltration gave an efficiency of 10.7%. After 180 days of storing under ambient conditions, a small loss of efficiency has been observed for a cell made in June, in spite of the fact that in going from June to December, a large increase of the ambient humidity took place, thus verifying the protective effect that the carbon electrode is providing. The addition of spiro-OMeTAD to the hole-transporter-free device resulted in increasing the efficiency by about 10%, a change which is appreciated to be of low importance given the cost of this material. This increase mainly derived from an increase in the current. Devices of different sizes have been constructed by screen printing, using home-made pastes for all the components making the cell scaffold, i.e., for titania, zirconia, and carbon layers
SCALHEALTH: Scalable Blockchain Integration for Secure IoT Healthcare Systems
Internet of Things (IoT) devices are capable of allowing for far-reaching
access to and evaluation of patient data to monitor health and diagnose from a
distance. An electronic healthcare system that checks patient data, prepares
medicines and provides financial assistance is necessary. Providing safe data
transmission, monitoring, decentralization, preserving patient privacy, and
maintaining confidentiality are essential to an electronic healthcare system.
In this study, we introduce (SCALHEALTH) which is a blockchain-based scheme of
the Hyperledger Fabric consortium. In this study, we use authentication to
agree on a common key for data encryption to send data confidentially. Also,
sending data through IPFS is decentralized. Non-fungible token (NFT) is used to
send patient prescriptions to pharmacies and insurance companies to ensure the
authenticity of patient prescriptions. As the system's main body, blockchain
creates authorization and validation for all devices and institutions. Also,
all metadata in the system is recorded on the blockchain to maintain integrity,
transparency, and timely data monitoring. The proposed study uses two types of
blockchain: a health blockchain and a financial blockchain. The financial
blockchain is for financial transactions and is based on Ethereum. The health
blockchain also introduces a mechanism that allows several blockchains to be
active in parallel, instead of only one blockchain. The prototype of this
mechanism is simulated in two scenarios. In comparison to the normal state, the
proposed plan has superior results
Evaluation of Earth Dam Leakage Considering the Uncertainty in Soil ‎Hydraulic Parameters
Analysis of earth dams is generally conducted in three stages of stability, deformability and water penetration analysis. Lack of sufficient attention to leakage, as one of the most important issues, leads to erosion and destruction of slope stability. The aim of current paper is to analyze the earth dam leakage with respect to the existing uncertainty in soil hydraulic parameters. In this research, the Monte Carlo (MC) method was used to calculate soil hydraulic parameters. Using these parameters, analysis of Alborz earth dam leakage by means of SEEP/W model based on the finite elements method was investigated. Due to the hydraulic conditions of the core soil, the total head value, pore water pressure, and water flux in core region will change. The results indicate that uncertainty in the hydraulic parameters of Alborz earth dam are significant, thus risk is important in this dam. The application of the proposed methodology in estimation of leakage from Alborz earth dam in Mazandaran province reveals its efficiency and proper accuracy in predicting the amount of leakage flow in earth dams with respect to the possible changes in the hydraulic parameters of the soil. Moreover, it was found that the quantity of seepage increases considerably when the dam is without core, therefore, the core is very necessary to decrease the value of seepage through the earth dam
A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management
In recent years, the healthcare sector's shift to online platforms has
spotlighted challenges concerning data security, privacy, and scalability.
Blockchain technology, known for its decentralized, secure, and immutable
nature, emerges as a viable solution for these pressing issues. This article
presents an innovative Electronic Health Records (EHR) sharing and drug supply
chain management framework tailored to address scalability, security, data
integrity, traceability, and secure data sharing. The framework introduces five
layers and transactions, prioritizing patient-centric healthcare by granting
patients comprehensive access control over their health information. This
access facilitates smoother processes, such as insurance claims, while
maintaining robust security measures. Notably, our implementation of
parallelism significantly bolsters scalability and transaction throughput while
minimizing network traffic. Performance evaluations conducted through the
Caliper benchmark indicate a slight increase in processor consumption during
specific transactions, mitigated effectively by parallelization. RAM
requirements remain largely stable. Additionally, our approach notably reduces
network traffic while tripling transaction throughput. The framework ensures
patient privacy, data integrity, access control, and interoperability, aligning
with traditional healthcare systems. Moreover, it provides transparency and
real-time drug supply monitoring, empowering decision-makers with actionable
insights. As healthcare evolves, our framework sets a crucial precedent for
innovative, scalable, and secure systems. Future enhancements could focus on
scalability, real-world deployment, standardized data formats, reinforced
security protocols, privacy preservation, and IoT integration to comply with
regulations and meet evolving industry needs
Investigation of k-ε Turbulent Models and Their Effects on Offset Jet Flow Simulation
In the case in which relatively low thickness and high-velocity flow enter into the lower velocity fluid, the resulting interference field of these two flows is called the jet. This phenomenon is the dominant output of power plants and some of the dams. The jets can be divided into two categories of free jets and confined jets, caused by the distance from the discharge to limited boundaries points. The offset jet is a type of confined jet in which both free surface and wall boundaries are near the diffusion location. The jet flow due to the extreme curvature in the main flow path and the proximal portion of this flow with solid boundaries have characteristics that make it difficult to solve with simple turbulence models.In this research, the offset jet phenomenon and related issues have been investigated. For this purpose, the offset jet flow pattern and probable factors in the complexity of this model have been simulated using Fluent software which analyses fluid flow in a two dimensional and three dimensional finite volume method. The simulation of offset jet flow pattern has been performed with a focus on investigating different models of turbulence k-ε, also boundary conditions, various wall functions and other effective coefficients in the numerical model and the model results compared with test case data findings and validating results, the necessary approaches in numerical simulation of this phenomenon for using in the next stages had been taken
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