Pengaruh Pemberian Minyak Kanola Terhadap Gambaran Histopatologik Aorta Dan Kadar Kolesterol Tikus Wistar Dengan Diet Tinggi Lemak

: Canola oil is a source of vegetable oils which contains high unsaturated fats that can reduce the risk of coronary heart disease, especially atherosclerosis. One of the trigger factors of atherosclerosis is hypercholesterolemia. This study aimed to evaluate the histopathological features of aorta and the levels of LDL and HDL cholesterols in Wistar rats fed with high fat diet and canola oil. There were 20 Wistar rats in this study, divided into four groups: group A, the negative control; group B with high-fat diet (1 ml lard and 1 ml yolk daily); group C with high-fat diet and 0.1 ml of canola oil daily; and group D with high-fat diet and simvastatin 0.2 mg daily. The results showed elevated levels of LDL and HDL cholesterols in the treated groups compared to the control group. The histopathological features revealed many foam cells in the aorta wall (intima and media layers) of group B, whereas group C had fewer foam cells. No foam cells were found in group D. Conclusion: Although the mean LDL and HDL cholesterol levels of all treated groups were higher than of the control group, canola oil could reduce foam cell formation

Target-Aware Neural Architecture Search and Deployment for Keyword Spotting

Keyword spotting (KWS) utilities have become increasingly popular on a wide range of mobile and home devices, representing a prolific application field for Convolutional Neural Networks (CNNs), which are commonly exploited to perform keyword classification. Addressing the challenges of targeting such resource-constrained platforms, requires a careful definition of the CNN architecture and the overall system implementation. These reasons have led to a growing need for design and optimization flows, able to intrinsically take into account the system's performance when ported on the target platform. In this work, we present a design methodology based on Neural Architecture Search, exploited to combine the exploration of the optimal network topology, the audio pre-processing scheme, and the data quantization policy. The proposed design flow includes target-awareness in the exploration loop, comparing the different design alternatives according to a model-based pre-evaluation of metrics like execution latency, memory footprint, and energy consumption, evaluated considering the application's execution on the target processing platform. We have tested our design flow to obtain target-specific CNNs for a resource-constrained commercial platform, the ST SensorTile. Considering two different application scenarios, enabling the comparison with the state-of-the-art of efficient CNN-based models for KWS, we have obtained up to a 1.8% accuracy improvement and a 40% footprint reduction in the most favorable case

Optimization and deployment of CNNs at the Edge: The ALOHA experience

Deep learning (DL) algorithms have already proved their effectiveness on a wide variety of application domains, including speech recognition, natural language processing, and image classification. To foster their pervasive adoption in applications where low latency, privacy issues and data bandwidth are paramount, the current trend is to perform inference tasks at the edge. This requires deployment of DL algorithms on low-energy and resource-constrained computing nodes, often heterogenous and parallel, that are usually more complex to program and to manage without adequate support and experience. In this paper, we present ALOHA, an integrated tool flow that tries to facilitate the design of DL applications and their porting on embedded heterogenous architectures. The proposed tool flow aims at automating different design steps and reducing development costs. ALOHA considers hardware-related variables and security, power efficiency, and adaptivity aspects during the whole development process, from pre-training hyperparameter optimization and algorithm configuration to deployment

Upregulation of CRABP1 in human neuroblastoma cells overproducing the Alzheimer-typical Aβ42 reduces their differentiation potential

<p>Abstract</p> <p>Background</p> <p>Alzheimer's disease (AD) is characterized by neurodegeneration and changes in cellular processes, including neurogenesis. Proteolytic processing of the amyloid precursor protein (APP) plays a central role in AD. Owing to varying APP processing, several β-amyloid peptides (Aβ) are generated. In contrast to the form with 40 amino acids (Aβ₄₀), the variant with 42 amino acids (Aβ₄₂) is thought to be the pathogenic form triggering the pathological cascade in AD. While total-Aβ effects have been studied extensively, little is known about specific genome-wide effects triggered by Aβ₄₂or Aβ₄₀derived from their direct precursor C99.</p> <p>Methods</p> <p>A combined transcriptomics/proteomics analysis was performed to measure the effects of intracellularly generated Aβ peptides in human neuroblastoma cells. Data was validated by real-time polymerase chain reaction (real-time PCR) and a functional validation was carried out using RNA interference.</p> <p>Results</p> <p>Here we studied the transcriptomic and proteomic responses to increased or decreased Aβ₄₂and Aβ₄₀levels generated in human neuroblastoma cells. Genome-wide expression profiles (Affymetrix) and proteomic approaches were combined to analyze the cellular response to the changed Aβ₄₂- and Aβ₄₀-levels. The cells responded to this challenge with significant changes in their expression pattern. We identified several dysregulated genes and proteins, but only the cellular retinoic acid binding protein 1 (CRABP1) was up-regulated exclusively in cells expressing an increased Aβ₄₂/Aβ₄₀ratio. This consequently reduced all-trans retinoic acid (RA)-induced differentiation, validated by CRABP1 knock down, which led to recovery of the cellular response to RA treatment and cellular sprouting under physiological RA concentrations. Importantly, this effect was specific to the AD typical increase in the Aβ₄₂/Aβ₄₀ratio, whereas a decreased ratio did not result in up-regulation of CRABP1.</p> <p>Conclusion</p> <p>We conclude that increasing the Aβ₄₂/Aβ₄₀ratio up-regulates CRABP1, which in turn reduces the differentiation potential of the human neuroblastoma cell line SH-SY5Y, but increases cell proliferation. This work might contribute to the better understanding of AD neurogenesis, currently a controversial topic.</p

La pelle : l'apparato tegumentario : morfologia, struttura e funzioni

In questo libro si \ue8 cercato di riassumere tutto ci\uf2 che uno studente di Medicina, di Farmacia, di Scienze, oltre che un buon operatore sanitario e un buon operatore estetico deve sapere sulla pelle e la sua fisiologia, oltre alle sue reazioni, normali e patologiche, alle sollecitazioni innumerevoli che in ogni momento lo colpiscono. La pelle \ue8 la prima barriera che il nostro corpo oppone al mondo esterno, dal quale riceve gran parte delle informazioni necessarie (la pelle \ue8 un grande e sofisticato orghano di senso), ma anche una grande quantit\ue0 di insulti, che spesso noi stessi le prcuriamo con nostro stile di vita (fumo, alcoll, abbronzature insensate ecc.). Ecco allora che conoscerla meglio pu\uf2 essere sicuramente utile, per noi stessi ma anche per gli altri, se la nostra attivit\ue0 sar\ue0 o \ue8 gi\ue0 quella di un operatore nel campo della salute e della bellezza