Pharmacognostic Characterization of Primula macrophylla by Light Microscopy, Scanning Electron Microscopy and Analytical Techniques.

Traditional medicinal systems have extensively used Primula macrophylla (Primulaceae) to treat a variety conditions, including bronchitis, asthma, joint pain, fever and so forth. This study determines various pharmacognostic and phytochemical standards helpful to ensure the purity, safety, and efficacy of medicinal plant P. macrophylla.

Implementation strategies for providing optimised tuberculosis and diabetes integrated care in LMICs (POTENTIAL): protocol for a multiphase sequential and concurrent mixed-methods study.

Introduction: Almost a quarter of patients with tuberculosis (TB) in Pakistan may also have diabetes, with an additional quarter in a pre-diabetic state. Diabetes is a risk factor for TB. When it co-occurs with TB, it leads to poorer outcomes for both conditions, considerably increasing the burden on individuals, families and the healthcare system.

Comparison of mental fatigue using EEG signals and task performance in normal and slump posture adults during computer typing.

Objectives: Slump sitting at workstations has been focused on by clinicians and researchers nowadays; however, there is limited evidence to date that improper positioning affects the mental state. Accordingly, the main objective of this research was to examine the impact of slump posture on mental fatigue and task performance.

Methods: A sample of 60 participants, 30 in each group including those with normal and slump postures were recruited to perform an hour of typing on the computer.

A parametric similarity measure for neutrosophic set and its applications in energy production.

As a useful tool for managing ambiguous and inconsistent data, the Single Value Neutrosophic Set (SVNSs) is an extension of both Fuzzy Sets (FSs) and Intuitionistic Fuzzy Sets (IFSs). In the field of information theory, metrics like similarity, entropy, and distance are important. Although a number of entropy measures for SVNSs have been put forth and used in real-world situations, both academic research and real-world applications have pointed out certain drawbacks.