The use of digital health services to combat E-waste health hazards: A review on the impact and awareness in Southwest Nigeria.

The rapid advancement of technology has led to a significant increase in electronic waste (e-waste), posing serious health and environmental risks, particularly in developing regions like Southwest Nigeria. This review explores the utilization of digital health services to combat the health hazards associated with e-waste exposure. Digital health technologies, including mobile health applications, telemedicine, and electronic health records, play a critical role in raising awareness about e-waste toxicity, monitoring health impacts, and providing remote healthcare services to at-risk populations.

Information literacy and intention to adopt e-pharmacy: a study based on trust and the theory of reasoned action.

Background: E-pharmacy has gained popularity as an increasingly utilized platform for accessing healthcare services online. However, its adoption exhibits regional variations and necessitates improvement in certain aspects. Guided by the Theory of Reasoned Action (TRA) and Trust theory, this research explores the pivotal role of information literacy in influencing attitudes, perceived control, word of mouth, and trust.

Two-Dimensional SEC-SEC-UV-MALS-dRI Workflow for Streamlined Analysis and Characterization of Biopharmaceuticals.

The emergence of complex biological modalities in the biopharmaceutical industry entails a significant expansion of the current analytical toolbox to address the need to deploy meaningful and reliable assays at an unprecedented pace. Size exclusion chromatography (SEC) is an industry standard technique for protein separation and analysis. Some constraints of traditional SEC stem from its restricted ability to resolve complex mixtures and notoriously long run times while also requiring multiple offline separation conditions on different pore size columns to cover a wider molecular size distribution.

Accelerating Pharmaceutical Process Development with an Acoustic Droplet Ejection-Multiple Reaction Monitoring-Mass Spectrometry Workflow.

Fast-paced pharmaceutical process developments (e.g., high-throughput experimentation, directed evolution, and machine learning) involve the introduction of fast, sensitive, and accurate analytical assays using limited sample volumes.

Intrinsic somatosensory feedback supports motor control and learning to operate artificial body parts.

Considerable resources are being invested to enhance the control and usability of artificial limbs through the delivery of unnatural forms of somatosensory feedback. Here, we investigated whether intrinsic somatosensory information from the body part(s) remotely controlling an artificial limb can be leveraged by the motor system to support control and skill learning.We used local anaesthetic to attenuate somatosensory inputs to the big toes while participants learned to operate through pressure sensors a toe-controlled and hand-worn robotic extra finger.