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Unlike other modalities in breast imaging, breast ultrasound is very operator dependent. Proper characterization and management of breast lesions depends on the knowledge and skill of the radiologist performing the exam. Breast ultrasound optimization continues to evolve as the technology of ultrasound machines improves. The American College of Graduate Medical Education (ACGME) program requirements for graduate medical education in diagnostic radiology recently updated requirements to include competency in ultrasound physics, knobology, and image generation. As trainees are held to high ultrasound optimization standards, practicing radiologists who perform breast ultrasound exams must keep up to date on current breast ultrasound optimization techniques to avoid mischaracterizing and mismanaging breast ultrasound findings. In this paper, ultrasound optimization techniques, including patient positioning, transducer frequency, transducer contact and pressure, depth, gain, focus, tissue harmonic imaging, spatial compounding, dynamic range, speed of sound imaging, Doppler evaluation, and elastography will be described. Multiple ultrasound case examples will be used to illustrate application of these skills. After reading this paper, the reader will be able to apply these techniques to their own breast ultrasound practice, improving characterization and management of breast lesions in their patients.Background Aluminium is an environmental neurotoxin to which human beings are extensively exposed. However, the molecular mechanism of aluminium toxicity remains unclear. Methods The changes in cognitive function of aluminum exposed workers under long-term occupational exposure were evaluated, and the relationship between cognitive changes, plasma memory related BDNF and EGR1 protein expression, and variations of epigenetic markers H3K4me3, H3K9me2, H3K27me3 expression levels in blood was explored. TKI-258 Results MMSE, DSFT, DST scores in cognitive function and the levels of plasma BDNF and EGR1 protein expression decreased with the increase of blood aluminum level. H3K4me3, H3K9me2, H3K27me3 expression levels in peripheral blood lymphocytes of aluminum exposed workers were statistically different (all P less then 0.05). H3K4me3, H3K9me2 and H3K27me3 expression levels in lymphocytes were correlated with blood aluminum level. BDNF, EGR1 protein level and H3K4me3, H3K9me2, H3K27me3 expression levels have different degrees of correlation. There was a linear regression relationship between plasma BDNF, H3K4me3 and H3K9me2. H3K9me2 had a greater effect on BDNF than H3K4me3. There is a linear regression relationship between EGR1, H3K4me3 and H3K27me3, and the influence of H3K4me3 on EGR1 is greater than that of H3K27me3 on EGR1. Conclusion Alummnum may regulate the expression of BDNF and EGR1 by regulating H3K4me3, H3K27me3 and H3K9me2, and affect the cognitive function of workers by affecting the expression of BDNF and EGR1.Oxidative stress-mediated neurodegeneration is responsible for 12% mortality around the globe. Alzheimer's Disease (AD) and Parkinson's Disease (PD) are the most prevalent neurodegenerative diseases, associated with modulation of acetylcholine levels and amyloid beta accumulation & dopamine level and alpha-synuclein oligomerization, respectively. Therefore, a better understanding of their pathological mechanisms reveals novel target proteins and encourages exploitation of suitable lead molecules. In the present study, targets for AD and PD were sought not only to suppress the pathological condition but to restore the normal physiological function. In this view, activation of retinoic acid receptor alpha can be formulated as a novel target to improve choline acetyltransferase transcription that works together with acetylcholine esterase and beta-secretase 1 inhibition against AD. Likewise, inhibition of Polo-like kinase 2 fails to phosphorylate alpha-synuclein and motivates efficient autophagic clearance. Therefore, PLK2 inhibition, together with L-DOPA supplementation and monoamine oxidase B inhibition widens the therapeutic options for PD. As oxidative stress is the major factor for neurodegeneration, AMPK activation stabilizes energy metabolism and Sirtuin 1 (histone deacetylase 1) activation enhances AMPK, PGC1a and Nrf gene expressions. Phytochemical extracts from saffron stigma were broadly appreciated on memory enhancement and cognition. However, the exact mechanism was not established. Therefore, this inspires the exploitation of phytochemicals in saffron stigma extract using in-silico tools, to anticipate lead molecules that interact with various neurodegeneration associated protein targets.recent studies have provided novel evidence regarding the effect of nicotine agonists on the prevention or modulation of cytokines storm and reduction of infection. In this study we tried to attempt to address these issues from a therapeutic perspective of nicotine agonists in this manner and we describe one of the most challenging theories of immunotherapy in coronavirus-19 (COVID-19). The analysis of the proposed mechanism goes beyond the physiological consequences of a way to design new strategies to provide anti-inflammatory drugs.Photoplethysmography (PPG) is an important, non-invasive and widely used circulatory assessment technique. It is commonly used to measure heart rate and arterial oxygen saturation (SPO2) by measuring the changes occurred in the blood volume and shows many future perspective applications. In this paper, various time and frequency analysis techniques are used to investigate the spectral differences of the signals obtained using the PPG and the piezoelectricplethysmography (PEPG) techniques. The time delay, effect of respiration and motion artifacts have been investigated in time and frequency domain for both; the PPG and PEPG signals. The electrocardiograph (ECG) signal has been used as a reference. The heart-rate has been estimated using both signals; the PPG and PEPG. The hypothesis of this paper is that PPG and PEPG signals features integration can lead to improve the understanding and estimation of the human body's vital signs by including multi-dimensional features. The results show that the PPG signal is the most robust technique in terms of change in frequency and time domains under the same conditions.