Dynamics of the fecal microbiome in patients with recurrent and nonrecurrent Clostridium difficile infection

Comparison of diversity in the fecal microbiota in patients with C. difficile infection (CDI). Comparison of the microbial diversity (inverse Simpson index λ) in a severe and non-severe samples in nonrecurrent, recurrent, and reinfected patients (Kruskal–Wallis test, p = 0.040), b C. difficile positive versus negative samples (not significant), c patients with or without prior antibiotic exposure (not significant) and d with or without a history of prior CDI (not significant). (PDF 173 kb

Estudio de la Lidocaína al 0,5% y en Combinación de Lidocaína al 0,25% con Fentanilo y Vecuronio en Anestesia Regional Intravenosa para Cirugías de Miembros Superiores

ResumenJustificativa y objetivosLa anestesia regional intravenosa (ARIV) para cirugías de miembros superiores con la tradicional dosis alta de lidocaína, puede conllevar a efectos colaterales que amenazan la vida. Para evitar esos efectos colaterales potencialmente amenazadores, muchas técnicas modificadas de ARIV fueron experimentadas con el uso de una dosis baja de lidocaína, relajante muscular y opioide.Materiales y métodosEl presente estudio se hizo con 60 pacientes no medicados previamente, con clasificación ASA 1-2, para comparar las características sensoriales y motoras, los parámetros cardiorrespiratorios y los efectos colaterales durante el período intraoperatorio y de deflación pos torniquete, entre los pacientes que recibieron 40mL de lidocaína al 0,5% sola (n = 30) y los que recibieron una combinación de 40mL de lidocaína al 0,25% con 0,05mg de fentanilo y 0,5mg de vecuronio (n = 30) en ARIV para cirugías ortopédicas de miembros superiores. Los resultados se analizaron usando el teste t de Student pareado para identificar la significancia estadística. Resultado: La diferencia entre los dos grupos con relación al tiempo promedio de inicio y completo bloqueo sensitivo y motor, fue estadísticamente significativo. Sin embargo, hubo un completo bloqueo sensitivo y motor en ambos grupos 15 minutos después de la inyección de la solución anestésica. Conclusiones: Aunque la pequeña demora observada al inicio y durante la obtención completa de los bloqueos sensitivo y motor, teóricamente pueda atrasar el inicio de la operación entre 10 y 15 minutos, clínicamente ese tiempo se gastaría en la preparación del campo quirúrgico. Por tanto, esa combinación puede ser usada con seguridad y eficacia en la anestesia regional intravenosa para las cirugías ortopédicas de miembros superiores con menor posibilidad de toxicidad anestésica local

Flexible ultra-sensitive and resistive NO2 gas sensor based on nanostructured Zn(x)Fe(1−x)2O4

Low concentration gas detection, rapid response time and low working temperature are anticipated for a varied range of toxic gas detection applications. Conversely, the existing gas sensors suffer mostly from a high working temperature along with a slow response at low concentrations of analytes. Here, we report an ultrasensitive flexible nanostructured Zn(x)Fe(1−x)2O4 (x = 0.1, 0.5 and 0.9) based chemiresistive sensor for nitrogen dioxide (NO2) detection. We evince that the prepared flexible sensor Zn(0.5)Fe(0.5)2O4 has detection potential as low as 5 ppm at a working temperature of 90 °C in a short phase. Further, the Zn(0.5)Fe(0.5)2O4 sensor exhibits excellent selectivity, stability and repeatability. The optimized sensor sensing characteristics can be helpful in tremendous development of foldable mobile devices for environmental monitoring, protection and control

GSU Event Portal

This application system for Hotel Booking is an intranet application, which provides various hotels that are available for the users in the city. The application helps users to select their favorite dishes among the continental dishes that are available. Users also have the choice of choosing their flavors, ingredients, and can add many other choices to their recipe. This application provides an option through which users who have diabetes and blood pressure can place their order according to their choice. After placing the orders, users can add their item to the cart along with the previous orders they made and they can pay through credit card online system. After completing the payment process, application directs the users to the map to locate their address and their order is delivered to their doorstep. Besides the online order facility, the application has an alluring facility, through which users can book for dining and they can also book a banquet or can arrange a hall for parties. Through the responses given by the users the applications provide list of hotels or restaurants that have the required facilities

Appearance of E1: A226V mutant Chikungunya virus in Coastal Karnataka, India during 2008 outbreak

Chikungunya has resurged in the form of unprecedented explosive epidemic in 2006 after a long gap in India affecting 1.39 million of persons. The disease continued for the next two consecutive years affecting 59,535 and 64,548 persons during 2007 and 2008 respectively. The 2008 outbreak being the second largest among these three years the information regarding the etiology and the mutations involved are useful for further control measures. Among the 2008 outbreaks the Coastal Karnataka accounts for the 46,510 persons. An in-depth investigation of Chikungunya epidemic of Coastal Karnataka, India, 2008 by serology, virus isolation, RT-PCR and genome sequencing revealed the presence and continued circulation of A226V mutant Chikungunya virus. The appearance of this mutant virus was found to be associated with higher prevalence of vector Aedes albopictus and the geographical proximity of coastal Karnataka with the adjoining Kerala state. This is the first report regarding the appearance of this mutation in Karnataka state of India. The present study identified the presence and association of A226V mutant virus with Chikungunya outbreak in India during 2008

Physical Model Study of Inclined Twin Plate Submerged Breakwater

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Inferior venacaval compression due to excessive abdominal packing

AbstractInferior venacaval compression is a common problem in late pregnancy. It can also occur due to compression of inferior venacava by abdominal or pelvic tumors. We report a case of acute iatrogenic inferior venacaval compression due to excessive abdominal packing during an intraabdominal surgery

A COMPREHENSIVE REVIEW ON HYDROGELS

Polymers play a vital role in pharmaceutical development. Efforts have been continuously made to search a polymer that act in a controlled& desired way. Hydrogel development has solved many such issues. Hydrogels are hydrophilic, three-dimensional networks. Which are able to imbibe large amounts of water or biological fluids & thus resembles to a large extent, a biological tissue. They are insoluble due to the presence of physical or chemical crosslinks such as entanglements& crystallites. These materials can be synthesized to respond to a number of physiological stimuli present in the body, such as PH, ionic strength, temperature. The main aim of this article is to give a concise review on introduction, preparation methods, types, & various applications of hydrogels in the pharmaceutical field

CoVid-19 Detection leveraging Vision Transformers and Explainable AI

Lung disease is a common health problem in many parts of the world. It is a significant risk to people health and quality of life all across the globe since it is responsible for five of the top thirty leading causes of death. Among them are COVID 19, pneumonia, and tuberculosis, to name just a few. It is critical to diagnose lung diseases in their early stages. Several different models including machine learning and image processing have been developed for this purpose. The earlier a condition is diagnosed, the better the patient chances of making a full recovery and surviving into the long term. Thanks to deep learning algorithms, there is significant promise for the autonomous, rapid, and accurate identification of lung diseases based on medical imaging. Several different deep learning strategies, including convolutional neural networks (CNN), vanilla neural networks, visual geometry group based networks (VGG), and capsule networks , are used for the goal of making lung disease forecasts. The standard CNN has a poor performance when dealing with rotated, tilted, or other aberrant picture orientations. As a result of this, within the scope of this study, we have suggested a vision transformer based approach end to end framework for the diagnosis of lung disorders. In the architecture, data augmentation, training of the suggested models, and evaluation of the models are all included. For the purpose of detecting lung diseases such as pneumonia, Covid 19, lung opacity, and others, a specialised Compact Convolution Transformers (CCT) model have been tested and evaluated on datasets such as the Covid 19 Radiography Database. The model has achieved a better accuracy for both its training and validation purposes on the Covid 19 Radiography Database