Synthesis of reusable cement materials through photochemical modification of marble powder for composite structures.

Sustainability and environmental protection are reshaping industries, including construction, where sustainability plays a crucial role in its influence on global resource consumption and waste management. The current study has developed a reusable cement material by photo-chemical surface modification of marble powder, achieved by reacting glycidyl methacrylate with carbonate functionality. This innovative modified marble powder boosts the reusability of construction materials, unlocking new possibilities for sustainable building practices.

Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles.

The Internet of Vehicles (IoV) transforms the automobile industry through connected vehicles with communication infrastructure that improves traffic control, safety and information, and entertainment services. However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle's sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment.

Trends and Disparities in Parkinson's Disease Mortality in the United States with Predictions Using Machine Learning.

Background: Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the degradation of dopaminergic pathways in the brain. As the population in the United States continues to age, it is essential to understand the trends in mortality related to PD. This analysis of PD's mortality characterizes temporal shifts, examines demographic and regional differences, and provides machine-learning predictions.

ELW-CNN: An extremely lightweight convolutional neural network for enhancing interoperability in colon and lung cancer identification using explainable AI.

Cancer is a condition in which cells in the body grow uncontrollably, often forming tumours and potentially spreading to various areas of the body. Cancer is a hazardous medical case in medical history analysis. Every year, many people die of cancer at an early stage.

Cellulose and Cellulose Nanomaterials: Recent Research and Applications in Medical Field.

Cellulose, the most prevalent biopolymer in the world, is comprehensively reviewed. Cellulose occurs in fibrillar patterns with alternating crystalline and amorphous regions. The non-toxic and -friendly nature of cellulose has made it beneficial in many fields, such as pharmaceuticals, biomedical, nanotechnology, etc.