ON THE PATHWAY OF CELLULAR UPTAKE: NEW INSIGHT INTO THE INTERACTION BETWEEN THE CELL MEMBRANE AND VERY SMALL NANOPARTICLES

On the pathway of cellular uptake: new insight into the interaction between the cell membrane and very small nanoparticles

For any living cell the exchange with its environment is vital.Therefore, many different kinds of cargo are able to enter cells via energy-dependent or -independent routes.Nanoparticles are no exemption.It is known that small silica nanoparticles with a diameter below 50 nm are taken up by cells and that their uptake exerts pronounced toxic effects

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Recurrent Mycobacterium tuberculosis infection in systemic lupus erythematosus patient: case report and review

Systemic Fertility Lupus Erythematosus (SLE) is an autoimmune disorder characterised by an underlying immunodeficiency state, worsened by the use of immunosuppressive drugs in its treatment.Hence patients with SLE are at increased risk of opportunistic infections, one of which is tuberculosis.Tuberculosis (TB) is one of the most common infectious d

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Memory accessibility and medical decision-making for significant others: The role of socially-shared retrieval induced forgetting

Medical decisions will often entail a broad search for relevant information.No sources alone may offer a complete picture, and many may be selective in their presentation.This selectivity may induce forgetting for previously learned material, thereby adversely affecting medical decision-making.In the study phase of two experiments, participants lea

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Achieving a Spiritual Therapy Standard for Drug Dependency in Malaysia, from an Islamic Perspective: Brief Review Article

Religion is one of the protective factors that facilities positive outcomes by preventing individuals from engaging in addictive substance.A recent study has confirmed that religion inhibits drug addiction.The concept of psychospiritual therapy was to introduce drug Ship Model addiction.Therefore, of the various methods of psychotherapy, the usage

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3D Convolutional Neural Network with Dimension Reduction and Metric Learning for Crop Yield Prediction Based on Remote Sensing Data

Crop yield prediction is essential for tasks like determining the optimal profile of crops to be planted, allocating government resources, effectively planning and preparing for aid distribution, making decisions about imports, and so on.Crop yield prediction using remote sensing data during the growing season is helpful to farm planning and manage

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