The existence of non-competitive market structures has unfavorable consequences for economic efficiency, and thus social welfare.Contemporary economic Gloves analysis identifies different effects of non-competitive market structures.Non-competitive market structures have significant consequences on production efficiency, i.e.factor productivity, an
The ambiguity of business support interventions for home-based enterprises that are re-shaping residential urban spaces in Durban, South Africa
Positive developmental consequences for home-based enterprises (HBEs) are diminished in South African townships, due to insufficient alignment of business support interventions (BSI).There is limited urban planning knowledge on how HBEs in townships operate within residential zones and how spatial and regulatory challenges affect their development.
Correlation of high-resolution computed tomography and immunological bronchoalveolar lavage in interstitial lung disease at the onset of inflammatory rheumatic diseases: implications for diagnosis and therapeutic strategies
Abstract Objectives Inflammatory rheumatic diseases (IRD) are often associated with interstitial lung disease (ILD).The aim of the present study was to establish a correlation between the findings on HRCT and the immunological bronchoalveolar lavage (BAL).Methods The study included 74 patients with newly diagnosed IRD and evidence of ILD on HRCT wi
Effects of cerebellar transcranial direct current stimulation on upper limb motor function after stroke: study protocol for the pilot of a randomized controlled trial
Abstract Background Transcranial direct current stimulation (tDCS) is a technique that can noninvasively modulate neural states in a targeted brain region.As cerebellar activity levels are associated with upper limb motor improvement after stroke, the cerebellum is a plausible target of tDCS.However, the effect of tDCS remains unclear.Here, we desi
EVALUATION OF SELF-SUPERVISED LEARNING APPROACHES FOR SEMANTIC SEGMENTATION OF INDUSTRIAL BURNER FLAMES
In recent years, self-supervised learning has made tremendous progress in closing the gap to supervised learning due to the rapid development of more sophisticated approaches like SimCLR, Flood Free Inlet Hose MoCo, and SwAV.However, these achievements are primarily evaluated on common benchmark datasets.In this paper, we focus on evaluating self-s