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Laboratory diagnosis of COVID-19 in secondary care hospitals in India:will standalone serology suffice?

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World Journal of Pediatrics 2021年第1期17卷 8-9页

作者： sara Chandy Sundaram Balasubramanian Anand Manoharan Molecular Laboratory The CHILDS Trust Medical Research FoundationChennaiTamil Nadu 600034India Department of Pediatrics Kanchi Kamakoti CHILDS Trust HospitalChennaiTamil Nadu 600034India

RT-PCR is the accepted gold standard for diagnosis of *** specificity of RT-PCR is very good,but its sensitivity largely depends on the type of sample collected,timing of collection,clinical sampling protocol,and nucl... 详细信息

关键词： diagnosis specificity clinical

Toll-like receptor-mediated signaling cascade as a regulator of the inflammation network during alcoholic liver disease

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World Journal of Gastroenterology 2014年第44期20卷 16443-16451页

作者： sara Ceccarelli Valerio Nobili Anna Alisi Hepato-Metabolic Disease Unit and Liver Research Unit Bambino Gesù Children’s Hospital IRCCS

Chronic abuse of alcohol leads to various histological abnormalities in the liver. These are conditions collectively known as alcoholic liver disease(ALD). Currently, ALD is considered to be one of the major causes of death worldwide. An impaired intestinal barrier with related endotoxemia is among the various pathogenetic factors. This is mainly characterized by circulating levels of lipopolysaccharide(LPS), considered critical for the onset of intra-hepatic inflammation. This in turn promotes hepatocellular damage and fibrosis in ALD. Elevated levels of LPS exert their effects by binding to Toll-like receptors(TLRs) which are expressed by all liver-resident cells. The activation of TLR signaling triggers an overproduction and release of some cytokines, which promote an autocatalytic cascade of other proinflammatory signals. In this review, we provide an overview of the mechanisms that sustain LPS-mediated activation of TLR signaling, reporting current experimental and clinical evidence of its role during inflammation in ALD.

关键词： Alcoholic liver disease Toll-like receptors Inflammation Cirrhosis Nuclear factor-κ B Cytokines

Development and assessment of artificial neural network models for direct normal solar irradiance forecasting using operational numerical weather prediction data

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Energy and AI 2024年第1期15卷 88-101页

作者： sara Pereira Paulo Canhoto Rui Salgado Institute of Earth Sciences University ofÉvoraRua Romãao Ramalho 597000-671ÉvoraPortugal Department of Mechatronics Engineering University of´EvoraRua Romãao Ramalho 597000-671ÉvoraPortugal Physics Department University of´EvoraRua Romãao Ramalho 597000-671ÉvoraPortugal

Accurate operational solar irradiance forecasts are crucial for better decision making by solar energy system operators due to the variability of resource and energy *** numerical weather prediction(NWP)models can forecast solar radiation variables,they often have significant errors,particularly in the direct normal irradiance(DNI),which is especially affected by the type and concentration of aerosols and *** paper presents a method based on artificial neural networks(ANN)for generating operational DNI forecasts using weather and aerosol forecasts from the European Center for Medium-range Weather Forecasts(ECMWF)and the Copernicus Atmospheric Monitoring Service(CAMS),*** ANN models were designed:one uses as input the predicted weather and aerosol variables for a given instant,while the other uses a period of the improved DNI forecasts before the forecasted *** models were developed using observations for the location of´Evora,Portugal,resulting in 10 min DNI forecasts that for day 1 of forecast horizon showed an improvement over the downscaled original forecasts regarding R2,MAE and RMSE of 0.0646,21.1 W/m^(2)and 27.9 W/m^(2),*** model was also evaluated for different timesteps and locations in southern Portugal,providing good agreement with experimental data.

关键词： Solar radiation Solar energy Numerical weather prediction Artificial neural network Operational forecasting

Production and evaluation of novel functional extruded corn snacks fortified with ginger,bay leaves and turmeric powder

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Food Production, Processing and Nutrition 2022年第1期4卷 41-57页

作者： sara Adel Amer Ayat Ebrahim Rizk Special Food and Nutrition Research Department Food Technology Research Institute.Agricultural Research Center9 Gamaa StreetGizaEgypt

Extruded corn snacks are accepted by all human ages especially children, but they have low functional value. Therefore, corn extruded snacks contain rich nutraceuticals dried herbs including Laurus nobilis (T1), Curcuma longa (T2), Zingiber officinale Roscoe (T3), and the mixture of these herbs (T4) were manufactured and analyzed. The results declared that all the herbal extruded corn snacks had significantly higher ash, fibers, minerals, and vitamins A and B6. For minerals, the highest percent of increase compared to control was achieved by Fe, K, Ca, Zn content in order, being the highest in T4. The contents of Vitamin A and B6 were ranged from 283 to 445 IU/100 g and from 0.01 to 0.08 mg/100 g for the herbal extrudates, respectively. The increased percent in herbal corn snacks relative to control ranged from 743 to 452%, 188 to 17.6%, and from 313 to 99% for total phenolics, flavonoids, and antioxidant activity. Besides, the highest number of phenolic compounds was recorded in T4. Despite the fact that approximately all herbal extruded products had good texture and color characteristics, the best formulation was T2 and T4 corn snacks. Furthermore, the extruded products were microbiologically safe for up to 9 months. The formulation of herbal-corn snacks could fulfill consumers’ requirement for ready-to-eat-healthy foods with acceptable sensory attributes and also economically suitable for the food industry.

关键词： Ginger Laurel Turmeric Extrusion Corn snacks functional foods

Natural Language Processing with Optimal Deep Learning Based Fake News Classification

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Computers, Materials & Continua 2022年第11期73卷 3529-3544页

作者： sara AAlthubiti Fayadh Alenezi Romany F.Mansour Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySaudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

The recent advancements made in World Wide Web and social networking have eased the spread of fake news among people at a faster *** most of the times,the intention of fake news is to misinform the people and make manipulated societal *** spread of low-quality news in social networking sites has a negative influence upon people as well as the *** order to overcome the ever-increasing dissemination of fake news,automated detection models are developed using Artificial Intelligence(AI)and Machine Learning(ML)*** latest advancements in Deep Learning(DL)models and complex Natural Language Processing(NLP)tasks make the former,a significant solution to achieve Fake News Detection(FND).In this background,the current study focuses on design and development of Natural Language Processing with Sea Turtle Foraging Optimizationbased Deep Learning Technique for Fake News Detection and Classification(STODL-FNDC)*** aim of the proposed STODL-FNDC model is to discriminate fake news from legitimate news in an effectual *** the proposed STODL-FNDC model,the input data primarily undergoes pre-processing and Glove-based word ***,STODL-FNDC model employs Deep Belief Network(DBN)approach for detection as well as classification of fake ***,STO algorithm is utilized after adjusting the hyperparameters involved in DBN model,in an optimal *** novelty of the study lies in the design of STO algorithm with DBN model for *** order to improve the detection performance of STODL-FNDC technique,a series of simulations was carried out on benchmark *** experimental outcomes established the better performance of STODL-FNDC approach over other methods with a maximum accuracy of 95.50%.

关键词： Natural language processing text mining fake news detection deep belief network machine learning evolutionary algorithm

Analytical methodologies for determination of methotrexate and its metabolites in pharmaceutical,biological and environmental samples

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Journal of Pharmaceutical Analysis 2019年第6期9卷 373-391页

作者： Forough Karami sara Ranjbar Younes Ghasemi Manica Negahdaripour Pharmaceutical Sciences Research Center Shiraz University of Medical SciencesShirazIran Central Research Laboratory School of MedicineShiraz University of Medical SciencesShirazIran Chemistry Department Yasouj UniversityYasoujIran Department of Pharmaceutical Biotechnology School of PharmacyShiraz University of Medical SciencesShirazIran

Methotrexate(MTX)is a folate antagonist drug used for several diseases,such as cancers,various malignancies,rheumatoid arthritis(RA)and inflammatory bowel *** to its structural features,including the presence of two carboxylic acid groups and its low native fluorescence,there are some challenges to develop analytical methods for its *** is metabolized to 7-hydroxymethotrexate(7-OH-MTX),2,4-diamino-N10-methylpteroic acid(DAMPA),and the active MTX polyglutamates(MTXPGs)in the liver,intestine,and red blood cells(RBCs),***,the drug has a narrow therapeutic range;hence,its therapeutic drug monitoring(TDM)is necessary to regulate the pharmacokinetics of the drug and to decrease the risk of *** to environmental toxicity of MTX;its sensitive,fast and low cost determination in workplace environments is of great interest.A large number of methodologies including high performance liquid chromatography equipped with UVevisible,fluorescence,or electrochemical detection,liquid chromatography-mass spectroscopy,capillary electrophoresis,UVevisible spectrophotometry,and electrochemical methods have been developed for the quantitation of MTX and its metabolites in pharmaceutical,biological,and environmental *** paper will attempt to review several published methodologies and the instrumental conditions,which have been applied to measure MTX and its metabolites within the last decade.

关键词： Methotrexate Antifolate Anticancer Quantification High performance liquid chromatography

DTLM-DBP:Deep Transfer Learning Models for DNA Binding Proteins Identification

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Computers, Materials & Continua 2021年第9期68卷 3563-3576页

作者： sara Saber Uswah Khairuddin Rubiyah Yusof Ahmed Madani Department of Computer Engineering Faculty of EngineeringArab Academy of Science and TechnologyEgypt Centre for Artificial Intelligence&Robotics Malaysia-Japan International Institute of TechnologyUniversiti Teknologi Malaysia

The identification of DNA binding proteins(DNABPs)is considered a major challenge in genome annotation because they are linked to several important applied and research applications of cellular functions e.g.,in the study of the biological,biophysical,and biochemical effects of antibiotics,drugs,and steroids on *** paper presents an efficient approach for DNABPs identification based on deep transfer learning,named“DTLM-DBP.”Two transfer learning methods are used in the identification *** first is based on the pre-trained deep learning model as a feature’s extractor and *** different pre-trained Convolutional Neural Networks(CNN),AlexNet 8 and VGG 16,are tested and *** second method uses the deep learning model as a feature’s extractor only and two different classifiers for the identification *** classifiers,Support Vector Machine(SVM)and Random Forest(RF),are tested and *** proposed approach is tested using different DNA proteins *** performance of the identification process is evaluated in terms of identification accuracy,sensitivity,specificity and MCC,with four available DNA proteins datasets:PDB1075,PDB186,PDNA-543,and *** results show that the RF classifier,with VGG-Net pre-trained deep transfer learning features,gives the highest ***-DBP was compared with other published methods and it provides a considerable improvement in the performance of DNABPs identification.

关键词： DNABPs deep transfer learning AlexNet 8 VGG 16 SVM RF

Endocrine impact of Helicobacter pylori:Focus on ghrelin and ghrelin o-acyltransferase

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World Journal of Gastroenterology 2011年第10期17卷 1249-1260页

作者： Penny L Jeffery Michael A McGuckin sara K Linden Mucosal Diseases Program Mater Medical Research InstituteMater Health Services Mucosal Immunobiology and Vaccine Center Sahlgrenska AcademyUniversity of Gothenburg

Ghrelin is predominantly produced by the gastric enteroendocrine cell compartment and is octanoylated by the recently discovered ghrelin o-acyltransferase （GOAT） before secretion into the bloodstream. This octanoylation is essential for many of the biological properties of ghrelin including appetite stimulation and anti-inflammatory properties as only the acylated form of ghrelin binds to the ghrelin receptor, the growth hormone secretagogue receptor （GHS-R）. Given the gastric location of ghrelin production, it is perhaps not surprising that insult to the gastric mucosa affects circulating ghrelin levels in humans. Helicobacter pylori （H. pylon） infects more than fifty percent of the world＇s population and once established within the gastric mucosa, can persist for life. Infection is associated with chronic gastritis, gastric atrophy and ulceration, reduced appetite and a lower body mass index （BMI）. The large majority of studies investigating levels of circulating ghrelin and ghrelin expression in the stomach in patients with H. pylori infection indicate that the bacterium has a negative impact on ghrelin production and/or secretion. Eradication of infection restores ghrelin, improves appetite and increases BMI in some studies, however, a causative relationship between H. pylori-associated serum ghrelin decline and food intake and obesity has not been established. Most studies measure total ghrelin in the circulation although the measurement of the ratio of acyl/total ghrelin gives a clearer indication that the ghrelin acylation process is altered during infection and atrophy. GOAT is essential for the production of biologically-active, acyl ghrelin and the impact of H. pylori on GOAT expression and activity will be highly informative in the future.

关键词： Appetite Ghrelin Ghrelin o-acyltransferase Helicobacterpylori Infection Inflammation Obesity

Extensively drug-resistant Salmonella typhi causing rib osteomyelitis: A case report

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Asian Pacific Journal of Tropical Medicine 2021年第5期14卷 231-233页

作者： sara Iqbal Humza Thobani Saulat Fatimi Section of Cardiothoracic Surgery Department of SurgeryAga Khan University HospitalPakistan Medical College Aga Khan UniversityPakistan

Rationale:Salmonella(S.)typhi is a rare cause of osteomyelitis in immunocompetent *** drug resistance(XDR)may lead to more complicated cases of *** *** concern:A 55-year-old female presented with a persistent low-grade fever and a swelling on her lower left chest with a sinus discharging purulent fluid for the past 8 *** symptoms had been unresponsive to previous anti-microbial ***:Rib osteomyelitis caused by XDR ***:Surgical wound debridement,left 7th-9th rib resection and intravenous Ⅳ meropenem were ***:Fever resolved and left-sided swelling resected without ***:The prevalence of XDR *** is growing in South Asia and should be considered as the differential diagnosis of chronic osteomyelitis.

关键词： Salmonella typhi Extensive drug resistance Rib Osteomyelitis Immunocompetence