173 research outputs found

    Troisier sign and Virchow node: the anatomy and pathology of pulmonary adenocarcinoma metastasis to a supraclavicular lymph node

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    Metastatic spread of cancer via the thoracic duct may lead to an enlargement of the left supraclavicular node, known as the Virchow node (VN), leading to an appreciable mass that can be recognized clinically — a Troisier sign. The VN is of profound clinical importance; however, there have been few studies of its regional anatomical relationships. Our report presents a case of a Troisier sign/VN discovered during cadaveric dissection in an individual whose cause of death was, reportedly, chronic obstructive pulmonary disease. The VN was found to arise from an antecedent pulmonary adenocarcinoma. Our report includes a regional study of the anatomy as well as relevant gross pathology and histopathology. Our anatomical findings suggest that the VN may contribute to vascular thoracic outlet syndrome as well as the brachial plexopathy of neurogenic thoracic outlet syndrome. Further, the VN has the potential to cause compression of the phrenic nerve, contributing to unilateral phrenic neuropathy and subsequent dyspnea. Recognition of the Troisier sign/VN is of great clinical importance. Similarly, an appreciation of the anatomy surrounding the VN, and the potential for the enlarged node to encroach on neurovascular structures, is also important in the study of a patient. The presence of a Troisier sign/VN should be assessed when thoracic outlet syndrome and phrenic neuropathy are suspected. Conversely, when a VN is identified, the possibility of concomitant or subsequent thoracic outlet syndrome and phrenic neuropathy should be considered

    Sit here : placing virtual machines securely in cloud environments

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    A Cloud Computing Environment (CCE) leverages the advantages offered by virtualisation to enable virtual machines (VMs) within the same physical machine (PM) to share physical resources. Cloud service providers (CSPs) accommodate the fluctuating resource demands of cloud users dynamically, through elastic resource provisioning. CSPs use VM allocation techniques such as VM placement and VM migration to optimise the use of shared physical resources in the CCE. However, these techniques are exposed to potential security threats that can lead to the problem of malicious co-residency between VMs. This threat happens when a malicious VM is co-located with a critical (or target) VM on the same PM. Hence, the VM allocation techniques need to be made secure. While earlier works propose specific solutions to address this malicious co-residency problem, our work here proposes to investigate the allocation patterns that are more likely to lead to a secure allocation. Furthermore, we introduce a (More

    Forecasting peak energy demand for smart buildings

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    Predicting energy consumption in buildings plays an important part in the process of digital transformation of the built environment, and for understanding the potential for energy savings. This also contributes to reducing the impact of climate change, where buildings need to increase their adaptability and resilience while reducing energy consumption and maintain user comfort. The use of Internet of Things devices for monitoring and control of energy consumption in buildings can take into account user preferences, event monitoring and building optimization. Detecting peak energy demand from historical building data can enable users to manage their energy use more efficiently, while also enabling real-time response strategies (including control and actuation) to known or future scenarios. Several statistical, time series, and machine learning techniques are proposed in this work to predict electricity consumption for five different building types, by using peak demand forecasting to achieve energy efficiency. We have used several indigenous and exogenous variables with a view to test different energy forecasting scenarios. The suggested techniques are evaluated for creating predictive models, including linear Regression, dynamic regression, ARIMA time series, exponential smoothing time series, artificial neural network, and deep neural network. We conduct the analysis on an energy consumption dataset of five buildings from 2014 until 2019. Our results show that for a day ahead prediction, the ARIMA model outperforms the other approaches with an accuracy of 98.91% when executed over a 168 h (1 week) of uninterrupted data for five government buildings

    Variation in Nigella sativa quality and its standardization via instrumental analysis: A study based on geographical origin

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    Black seeds (Nigella sativa) owe an important place due to its more demand as a food as well as medicine. A lack of information does exist regarding the quality and safety for market-available food-grade samples of black seed (BS). The aim of this study is to investigate the quality and standardize the BS samples according to world health organization (WHO) guidelines of instrumental analysis and pharmacological activities. Instrumental analysis was performed with the help of ASE (accelerated solvent extraction), IR (infrared spectroscopy), UHPLC (ultra-high-performance liquid chromatography) and NMR (nuclear magnetic resonance spectroscopy) whereas ash values and chemical tests were applied for physicochemical analysis. DPPH (2,2-diphenyl-1-picrylhydrazyl), ABTS (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) and cytotoxicity assay were performed as well. A high extract yield (g) with recovery of 4.4 ± 7.7 (22%) for Pakistani, 3.3 ± 4.7 (16.5%) for Indian and 3.02 ± 10.2 (15.1%) for Saudi Arabian sample. Chemical tests showed the presence of phenolic compounds and flavonoids. Saudi Arabian samples showed less amount for ash values (total-, water soluble- and acid insoluble ash). The samples were standardized further with the help of NMR and IR. A significant amount of micro- and macronutrients was observed in Saudi Arabian sample. With regard to the major active substance Thymoquinone (THQ; ng/mL), the order of concentration was observed as; Saudi Arabian sample (33141.1) > Pakistani (7677.2) > Indian sample (3998.6). A more potency for Saudi Arabian sample was observed during antioxidant and cytotoxicity assays. The method was successful to effectively discriminate the samples from different geographical origin, in terms of quality

    Effects of feeding rate and formula fineness degree of ring die pellet mill on mechanical property, physical quality, energy requirements, and production cost of poultry diets

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    The effect of a machine feeding rate (FR; 1, 1.5 and 2 Mg/h) and/or three levels of selected fineness degree (FD; 3, 5 and 7 mm) on machine performance, pellet physical parameters, required energy and production cost of three main types of broilers diets were examined in this experiment. The examined broiler diets were formulated to meet the Ross 308 strain requirements. A complete factorial design (3×3×3) was used to identify the effects of studied factors on the pellet mill machine and pellet production. The obtained results indicated that the pellet mill productivity significantly (p˂0.001) improved through increased pellet mill feeding rate level. In addition, the machine pelleting efficiency was found to be significantly affected by all studied variables and their interactions. While the total power consumption of the machine showed no variations under the impact of the tested factors or with any of their combinations. Regarding the pellet physical quality indices, all broiler diets with all selected FD and lower FR had the maximum durability and bulk density levels. Furthermore, lower feeding rates were associated with higher hardness degrees. The lowest production costs were substantially correlated with high FR and intermediate FD (5 mm). Furthermore, production costs were determined to be reduced in finisher broiler diets under different feeding rates. Moreover, manufacturing costs of finisher broiler meals were observed to decrease in several feeding rates. Overall, these findings indicate the capabilities of producing high-quality pellets and reducing the needed production costs by optimizing feeding rates to 2 Mg/h and 2 mm fineness in broiler diets

    DESIGNING AN INTEGRATED COMPUTER PROGRAM FOR VEGETABLE PRODUCTION IN THE KINGDOM OF SAUDI ARABIA

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    Vegetable production provide great value in the agricultural production sector in the Kingdom of Saudi Arabia. Growers and agricultural engineers need a comprehensive database in Arabic lan-guage that can be available for use any time any where. Therefore, this research project was initiat-ed. The computer program was developed using Visual Basic Net 2005 which is one of the ad-vanced visual programming languages. We took into consideration easy usage and coherence be-tween all program components. Main results in-clude computer program with the data base, which includes: vegetable crops, diseases, insect pests and other pests that attacks vegetable crops, management tactics, cultural practices, irrigation requirements, planting dates, data search. Fur-thermore, field trips have been carried out to some vegetable farms in all the Kingdom regions. A digit-ized map of the Kingdom has been added to the program in addition to crop water and heat re-quirements. Various search capabilities have been developed in the program. After the completion of the program build up, verification trips have been carried out for five regions in the presence of farm-ers and extension specialists of the different direc-torate of the Ministry of Agriculture to test the accu-racy of steps used in the program. A manual for the computer program as well as leaflet on pro-gram set up and usage have been included. It is recommended to make this program available at the internet and distribute copies to the Ministry of Agriculture and its directorates as well as farmers

    Surgical Management of Thermal Injury: Narrative Review

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    Extensive burn care advanced over the past few decades to the point where burn victims can now often live. The goal of treating a severely burned patient nowadays is to help them return to their communities, families, and places of employment as fully participating members of society, rather than only preserving their life and ability to function. Burns are a common and difficult critical care issue. Specialized hospitals prioritize achieving optimal functional recovery, infection prevention, and patient stabilization. Over the past few decades, researches on burns have attracted a lot of attention. A number of significant discoveries have improved patient stability and reduced mortality, particularly in the case of younger patients and those with intermediate-degree burns. The presence of dead tissue over a burn wound hinders the healing process and serves as a breeding ground for bacteria. Consequently, clearing the eschar as soon as possible and getting a clean wound bed as soon as possible, can be regarded as the main objective to initiate the process of wound healing, either through autografting or spontaneous epithelization. This review article provides a comprehensive overview of the surgical management of thermal injuries. The article also discusses the importance of early surgical intervention, including debridement, skin grafting, and other surgical techniques. Additionally, it explores the latest advancements in surgical management and the potential future directions in this field. Overall, this review aims to provide a valuable resource for healthcare professionals involved in the care of patients with thermal injuries
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