The authors designed a triboelectric nanogenerator with the goal to use it as an energy source for smart farming.
Read More...Triboelectric nanogenerators and self-powered sensors for smart farming
The authors designed a triboelectric nanogenerator with the goal to use it as an energy source for smart farming.
Read More...Retinal biomarkers for the detection of neurological disease using deep learning
The authors looked at whether retinal features, specifically lens clarity, optic nerve cupping, and hyperreflective foci, can serve as biomarkers for neuro-ophthalmological diseases, which share pathological mechanisms with neurodegeneration and may indicate broader neurological risk. Using multimodal clinical data and machine learning, they investigated the potential of retinal imaging as a complementary diagnostic tool for more accurate and accessible detection of neurological disorders.
Read More...In silico design of an epitope-based vaccine for Rocio virus using phage display and E. coli expression system
The explored the potential of an epitope-based vaccine for Rocio virus using computational methods and M13 bacteriophage technology. Researchers identified 30 promising B- and T-cell epitopes and designed vaccine candidates using both phage display and E. coli expression systems.
Read More...A 3D printed triboelectric nanogenerator for bridge vibration energy harvesting and sensing
This study strongly illustrates that optimizing 3D printing parameters would enhance a triboelectric nanogenerator's performance. The design improvements substantiate the potential of optimized, 3D-printed TENGs for developing scalable, cost-effective solutions for powering low-energy electronics, particularly in applications such as structural health monitoring.
Read More...Functionalized graphene oxide nanoparticles for improved saltwater treatment
The authors investigated the efficacy of functionalized graphene oxide nanoparticles for turning saltwater to freshwater.
Read More...Distributional effects of residential energy tax credits: A machine learning approach
Tax incentives for sustainable technology are a key part of the push for a greener future. However, these incentives may not reach all income strata equally. Using a machine learning approach, this study analyzed the distributional effects of residential energy tax credits across different income levels in the United States.
Read More...OTGP: An innovative biometric authentication system with on-the-go passwords using a novel typing signature
This manuscript describes a new method of on-the-go passwords using typing characteristics. The authors developed a keyboard and keystroke recording setup and tested it with 30 participants. The results indicated the five chosen parameters are distinct across participants yet consistent across time for each participant, making it a plausible candidate for a behavior-based password system.
Read More...The effects of a high-sucrose diet on the survival of Drosophila melanogaster from a bacterial infection
Excess sucrose consumption has been associated with several health problems, including inflammation and potential negative effects on immune function. However, the exact relationship between sucrose intake and immunity remains unclear, especially during bacterial infections. This study examined how sucrose intake affected the survival of fruit flies following oral infection with the bacterial pathogen Serratia marcescens.
Read More...De novo design of a dual-target inhibitor against tau phosphorylation and acetylation for Alzheimer's therapy
The authors use computational methods to compare tau acetylation to the better studied tau phosphorylation in Alzheimer's disease and then design and computationally test a new drug to prevent abnormal post-translational modifications of tau.
Read More...CDK7 inhibition disrupts androgen signaling and induces metabolic rewiring in prostate cancer cells
The authors used RNA-seq datasets to assess the effect of CDK7 inhibition on transcriptional pathways in castration-resistant prostate cancer cells.
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