Noninvasive multiclass milk contaminants detection using hyperspectral imaging and hybrid ensemble learning.

Food contamination remains a serious global concern due to its health risks, with milk being one of the most commonly adulterated foods in developing countries such as Pakistan, India, and Bangladesh. Accurate detection of milk contamination is essential for ensuring consumer safety and maintaining food industry standards. This study explores both invasive and noninvasive approaches for contamination analysis.

Optimal position fuzzy control for coordinated movement of the ring and little fingers in an impaired human hand.

The dexterity of the human hand is largely due to its multiple degrees of freedom. However, coordinating the movements of the ring and little fingers independently can be challenging because of the biomechanical and neurological interdependencies between them. This research presents a cascade control system based on fuzzy logic to manage the dynamic movements of these fingers within a simulated biomechanical model of a human hand.

Esophageal stenting and endoscopic vacuum therapy for esophageal defects: a systematic review and meta-analysis of observational studies.

Background: Spontaneous esophageal perforation, especially Boerhaave syndrome, carries high morbidity and mortality. Minimally invasive treatments like esophageal stenting and endoscopic vacuum therapy (EVT) are increasingly used, but optimal management remains unclear.

Objective: This systematic review and meta-analysis evaluates the efficacy and safety of esophageal stenting and EVT in managing esophageal defects by assessing sealing rates, failure rates, and mortality.