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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

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

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

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

Programmed cell death in seeds of angiosperms

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Journal of Integrative Plant Biology 2015年第12期57卷 996-1002页

作者： María Paula López-Fernández sara Maldonado Laboratory of Plant Development Department of Biodiversity and Experimental Biology Faculty of Exact and Natural Sciences University of Buenos Aires National Research Council of Argentine (CONICET)

During the diversification of angiosperms, seeds have evolved structuralp chemical, molecular and physiolog- ically developing changes that specially affect the nucellus and endosperm. All through seed evolution, programmed celldeath （PCD） has played a fundamental role. However, examples of PCD during seed development are limited. The present review examines PCD in integuments, nucellus, suspensor and endosperm in those representative examples of seeds studied to date.

关键词： Caspases endosperm Kdel-CysEP metacaspases nucellus nucleases programmed cell death perisperm ricinosomes

Economic and Qualitative Traits of Italian Alps Saffron

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Journal of Mountain Science 2015年第6期12卷 1542-1550页

作者： Alessandra MANZO sara PANSERI Danilo BERTONI Annamaria GIORGI Centre for Applied Studies in the Sustainable Management and Protection of the Mountain Environment-Ge.S.Di.Mont.-Università degli Studi di Milano Department of Veterinary Science and Public Health-Università degli Studi di Milano Department of Economics Management and Quantitative Methods-Università degli Studi di Milano Department of Agricultural and Environmental Sciences-Production Landscape Agroenergy-Università degli Studi di Milano

Saffron, obtained from the flower stigmas of Crocus sativus L., is one of the most expensive food spices. The introduction of saffron in alpine areas could help to broaden and diversify the activities of mountain multifunctional farms, with a positive impact on economy and land management. According to ISO 3632(2010/2011), saffron can be classified into three categories of quality(I, II, III) depending on the concentration of the three main metabolites responsible for its characteristic colour, flavor and aroma: Crocin, Picrocrocin and Safranal. This study represents the first investigation of the quality of saffron produced in the Italian Alps evaluated with spectrophotometry, HPLC, solid-phase microextraction(SPME), and gas chromatographic analysis combined with mass spectrometry(GC/MS). The experiments used Crocus sativus stigmas produced in 2012-2013 in different areas of the Central Italian Alps were located at an altitude between 720 and 1200 m a.s.l.. Results obtained were compared to commercial saffron. The analyses confirmed that all samples can be classified in the first quality category according to the ISO classification. This high quality is also confirmed by HPLC analysis. Moreover, the SPME-GC/MS analysis identified some differences in the aromatic profile of saffron samples, in particular regarding safranal concentration. A preliminary assessment of the economic viability of high quality saffron production for local markets was also performed. Our study provides valid information regarding the quality and economic sustainability of saffron production in the alpine area confirming this crop as a good candidate for a new source of income for multifunctional farms in mountain areas.

关键词： Crocus sativus L. Alps ISO 3632 UV– Vis spectrophotometry SPME-GC/MS HPLC

Cementite Characterization with Chromium and Vanadium Contents Using Indentation Technique

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Journal of Iron and Steel Research International 2015年第4期22卷 366-370页

作者： John Jairo CORONADO sara Aida RODRGUEZ Research Group of Fatigue and Surfaces School of Mechanical EngineeringUniversity of Valle

Cast irons with some kinds of cementite with different chromium and vanadium contents were character- ized. Fracture toughness was determined by using an indentation technique, along with microhardness and elastic modulus. The results show that at the load of 1 N, microhardness of the cementite with 5.1% Cr is 10.53 GPa, the microhardness for cementite with 9.2% Cr increased to 11.25 GPa and for cementite with 4.5% V the microhard- ness is 9.18 GPa. The cementite with 9.2% Cr presented the highest elastic modulus of 230.4 GPa and the cement- ire with 4% V presented the lowest value of 201.32 GPa. Cementite with 5.1% Cr presented higher fracture tough- ness than cementite with 9.2% Cr; however, cementite with 4.5% V presented the highest fracture toughness of 2.74 MPa ·m1/2 and the lowest brittleness index of 3.35 μm-1/2.

关键词： cementite microhardness elastic modulus fracture toughness indentation technique

Phages and their potential to modulate the microbiome and immunity

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Cellular & Molecular Immunology 2021年第4期18卷 889-904页

作者： sara Federici Samuel P.Nobs Eran Elinav Immunology Department Weizmann Institute of ScienceRehovot 7610001Israel Cancer-Microbiome Division Deutsches Krebsforschungszentrum(DKFZ) Neuenheimer Feld 28069120 HeidelbergGermany

Bacteriophages(hence termed phages)are viruses that target bacteria and have long been considered as potential future treatments against antibiotic-resistant bacterial ***,the molecular nature of phage interactions with bacteria and the human host has remained elusive for decades,limiting their therapeutic *** many phages and their functional repertoires remain unknown,the advent of next-generation sequencing has increasingly enabled researchers to decode new lytic and lysogenic mechanisms by which they attack and destroy ***,the last decade has witnessed a renewed interest in the utilization of phages as therapeutic vectors and as a means of targeting pathogenic or commensal bacteria or inducing ***,the narrow host range,immense antibacterial repertoire,and ease of manipulating phages may potentially allow for their use as targeted modulators of pathogenic,commensal and pathobiont members of the microbiome,thereby impacting mammalian physiology and immunity along mucosal surfaces in health and in microbiomeassociated *** this review,we aim to highlight recent advances in phage biology and how a mechanistic understanding of phage-bacteria-host interactions may facilitate the development of novel phage-based *** provide an overview of the challenges of the therapeutic use of phages and how these could be addressed for future use of phages as specific modulators of the human microbiome in a variety of infectious and noncommunicable human diseases.

关键词： Microbiota Microbiome Phages