INTRODUCTION Food-borne disease outbreaks remain a major global health challenge and cross-contamination from raw meat due to poor handling is a major cause in developing countries. Adequate knowledge of meat handlers is important in limiting these outbreaks. This study evaluated and compared the safe meat-handling knowledge, attitudes and practices (KAP) of private (PMPP) and government meat p...

The treatment role of flexible bronchoscopy (FOB) for pediatric refractory Mycoplasma pneumoniae pneumonia (RMPP) has been well documented. Besides, the application indication of FOB is also studied in patients with general MPP (GMPP), especially in those with large pulmonary lesions. This study was designed to examine the diagnostic value of bronchoscopic features for RMPP.The FOB and bronchoa...

This paper proposes an approach based on artificial neural networks (ANN) to control a grid-connected photovoltaic system (PVS) under partial shading (PS) conditions. In PS conditions, the P-V curve exhibits multiple peaks, with only one representing global maximum power point (GMPP), and others local points (LMPP). Traditional Maximum Power Point Tracking (MPPT) methods are unable identify GMP...

Polygonatum sibiricum polysaccharides (PSPs) are used to improve immunity, alleviate dryness, promote the secretion of fluids, and quench thirst. However, the PSP biosynthetic pathway is largely unknown. Understanding the genetic background will help delineate that pathway at the molecular level so that researchers can develop better conservation strategies. After comparing the PSP contents amo...

Under non-uniform operating conditions, photovoltaic (PV) generators may have several maximum power points (MPP) and voltage of the global MPP (GMPP) vary quickly over a wide range which cause problems for tracking GMPP. Since highly varying GMPP causes fluctuation inverter reference voltage, it would be beneficial to operate PV system in more predictable straightforward manner by keeping point...

Abstract This paper describes the novel scientific contribution of a modified hybrid grey wolf optimization‐fuzzy logic controller (GWO‐FLC) based on maximum power point tracking (MPPT) for photovoltaic (PV) system. The GWO eliminates lower rank ( δ ) and lowest Ψ wolves, which provides rapid search method to track global (GMPP) in lesser period. GWO‐FLC MPPT technique GMPP with zero oscillatio...

The impact of Partial Shading Conditions (PSCs) significantly influences the output Photovoltaic Systems (PVSs). Under PSCs, Power-Voltage (P-V) characteristic PVS unveils numerous power peaks, inclusive local maxima and a global maximum. latter represents optimum point. Traditional Maximum Power Point Tracking (MPPT) algorithms struggle to track Global (GMPP). To address this, our study emphas...

Artificial intelligence, machine learning and deep algorithms have been widely used for Maximum Power Point Tracking (MPPT) in solar systems. In the traditional MPPT strategies, following of worldwide Global (GMPP) under incomplete concealing conditions stay overwhelming assignment tracks different nearby greatest power focuses halfway conditions. The advent artificial intelligence has guarante...

GMPP Activities Highlighted in this Issue GPCI analyzes weather and climate models along a cross section of the Pacific Ocean. Histograms of total cloud cover versus latitude along the GPCI cross section for June–July–August 1998 from the UKMO/HadGAM model, ISCCP and the NCAR/CAM3 model. These show that some climate models (e.g., UKMO/HadGAM) exhibit a quasi-bimodal structure with cloud cover b...

Purpose Effective and robust governance of major projects programmes in the public sector is crucial to accountability state transparency spending. The theoretical discourse on governance, context programmes, not fully mature, although now sufficiently well developed warrant an increased scholarly focus practice. This paper aims contribute empirical literature through a study assurance routines...