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Critical analysis of the ULF power depression as a possible Tohoku earthquake precursor

Earthquake Science 2024年第5期37卷 407-414页

作者： Vyacheslav A Pilipenko Valery A martines-Bedenko a.ima.a.yoshika.a.kirolosse m girgis Institute of Physics of the Earth MoscowRussia International Research Center for Space and Planetary Environmental Science(i-SPES) Kyushu UniversityFukuoka 819-0395Japan

Among electromagnetic methods of short-term earthquake prediction,an approach is being actively developed based on the phenomenon of magnetic ultra-low-frequency(ULF)power depression occurring a few days before an *** particular,a nighttime geomagnetic power depression in the band 0.03-0.05 Hz was observed approximately 5 days before the catastrophic Tohoku 2011 *** verify the reliability of this method,we performed an extended analysis using data from magnetometer arrays JmA,mAGDAS,PWING,and *** selected stations included sites close to the epicenter(m)and remote points(~10000 km).The band-integrated spectral power of nighttime magnetic noise decreased significantly from march 6-9,several days before the ***,such variations occur simultaneously not only at nearby stations but also at distant *** this event,the ULF power depression was caused by low global geomagnetic activity,as evidenced by the planetary index ***,the depression of geomagnetic ULF noise cannot be considered a reliable short-term precursor.

关键词： earthquake forecast seismo-electromagnetic phenomena ultra-low frequency(ULF)pulsations

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Ensemble machine Learning to Enhance Q8 Protein Secondary Structure Prediction

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Computers, materials & Continua 2022年第11期73卷 3951-3967页

作者： moheb R.girgis Rofida m.Gamal Enas Elgeldawi Computer Science Department Faculty of ScienceMinia University61519MiniaEgypt

Protein structure prediction is one of the most essential objectives practiced by theoretical chemistry and bioinformatics as it is of a vital importance in medicine,biotechnology and *** secondary structure prediction(PSSP)has a significant role in the prediction of protein tertiary structure,as it bridges the gap between the protein primary sequences and tertiary structure *** secondary structures are classified into two categories:3-state category and 8-state *** the 3 states and the 8 states of secondary structures from protein sequences are called the Q3 prediction and the Q8 prediction problems,*** 8 classes of secondary structures reveal more precise structural information for a variety of applications than the 3 classes of secondary structures,however,Q8 prediction has been found to be very challenging,that is why all previous work done in PSSP have focused on Q3 *** this paper,we develop an ensemble machine Learning(mL)approach for Q8 PSSP to explore the performance of ensemble learning algorithms compared to that of individual mL algorithms in Q8 *** ensemble members considered for constructing the ensemble models are well known classifiers,namely SVm(Support Vector machines),KNN(K-Nearest Neighbor),DT(Decision Tree),RF(Random Forest),and NB(Naïve Bayes),with two feature extraction techniques,namely LDA(Linear Discriminate Analysis)and PCA(Principal Component Analysis).Experiments have been conducted for evaluating the performance of single models and ensemble models,with PCA and LDA,in Q8 *** novelty of this paper lies in the introduction of ensemble learning in Q8 PSSP *** experimental results confirmed that ensemble mL models are more accurate than individual mL *** also indicated that features extracted by LDA are more effective than those extracted by PCA.

关键词： Protein secondary structure prediction(PSSP) Q3 prediction Q8 prediction ensemble machine leaning boosting bagging

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Is tumor cell specificity distinct from tumor selectivity in vivo?A quantitative NIR molecular imaging analysis of nanoliposome targeting

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Nano Research 2021年第5期14卷 1344-1354页

作者： girgis Obaid Kimberley Samkoe Kenneth Tichauer Shazia Bano Yeonjae Park Zachary Silber Sassan Hodge Susan Callaghan mina Guirguis Srivalleesha mallidi Brian Pogue Tayyaba Hasan Wellman Center for Photomedicine Massachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA Department of Bioengineering University of Texas at DallasRichardsonTX75080USA Thayer School of Engineering Dartmouth CollegeHanoverNH037551USA Armour College of Engineering Illinois Institute of TechnologyChicagoIL60616USA Division of Health Sciences and Technology Harvard University and Massachusetts Institute of TechnologyCambridgeMA02139USA

The significance and ability for receptor targeted nanoliposomes(tNLs)to bind to their molecular targets in solid tumors in vivo has been questioned,particularly as the efficiency of their tumor accumulation and selectivity is not always predictive of their efficacy or molecular *** study presents,for the first time,in situ near-infrared(NIR)molecular imaging-based quantitation of the in vivo specificity of tNLs for their target receptors,as opposed to tumor selectivity,which includes influences of enhanced tumor permeability and *** show that neither tumor delivery nor selectivity(tumor-to-normal ratio)of cetuximab and IRDye conjugated tNLs correlate with epidermal growth factor receptor(EGFR)expression in U251,U87,and 9L tumors,and in fact underrepresent their imaging-derived molecular specificity by up to 94.2%.Conversely,their in vivo specificity,which we quantify as the concentration of tNL-reported tumor EGFR provided by NIR molecular imaging,correlates positively with EGFR expression levels in vitro and ex vivo(Pearson’s r=0.92 and 0.96,respectively).This study provides a unique opportunity to address the problematic disconnect between tNL synthesis and in vivo *** findings encourage their continued adoption as platforms for precision medicine,and facilitates intelligent synthesis and patient customization in order to improve safety profiles and therapeutic outcomes.

关键词： molecular recognition receptors nanoparticles specificity cancer

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mechanism of Silver Nanoparticles Deposition by Electrolysis and Electroless methods on a Graphite Substrate

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International Journal of Nonferrous metallurgy 2022年第1期10卷 1-14页

作者： mahmoud A. Rabah Nabil Nassif girgis Chemocal and Electrochemical Treatment Lab. mineral Processing Dept. Central metallurgical Research and Development Institute (CmRDI) El-Flezzat Str. El-Tebbin Cairo Egypt Control and Surface Protection Lab (CMRDI) El-Flezzat Str. El-Tebbin Cairo Egypt

This study shows a silver electrodeposition model (EDm) on a graphite substrate. The electrolyte was a 0.01 m solution of pure silver and chromium nitrate using an electrolyzing cell. EDC with current density up to 20 mA/cm2 and 15 mV and pulse current were studied. Results revealed that silver deposited at a rate of 0.515 mg/cm2/min with 12 mA/cm2 that decreases to 0.21 and 0.16 mg/cm2·min with the decrease of current density to 6 and 5 mA/cm2 respectively. The model postulates that silver ions (a) were first hydrated before diffusing (b) from the solution bulk to the cathode vicinity, The next step (c) involved the chemical adsorption of these ions on certain accessible sites of the graphite substrate (anode), The discharged entities (d) adhere to the graphite surface by Van der Vales force. Silver ions are deposited because the discharge potential of silver is low (0.38 mV) as compared to other metal ions like chromium (0.82 mV). Pulse current controls silver deposition due to flexibility in controlling steps (a)-(c) of the deposition mechanisms. Parameters like current density, current on-time, current-off time, duty cycle (ratio of current on time and total pulse time) and pulse frequency influenced the shape and size of the deposits. Step (b) suggested that silver particles were deposited in a monolayer thickness. The silver layer turned multiple after fully satisfying the accessible sites with the monolayer. The activation energy ΔE value amounts to 86.32 kJ/mol/K. At high temperature and current density, homogeneous diffusion occurs.

关键词： Silver and Chromium Nanoparticles Electrolysis Electroless Deposition Chemical Deposition and Pulse Current Graphite Substrate

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Role of IL-22 in pancreatic cancer tumorigenesis

Role of IL-22 in pancreatic cancer tumorigenesis

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第十一届全国免疫学学术大会

作者： m Perusina Lanfranca I Kryczek AD Rhim A girgis m Pasca di magliano W Zou TL Frankel

Elevated levels of Interleukin 22(IL-22)and its receptor(IL-22R)are associated with poor prognosis in pancreatic ductal adenocarcinoma(PDAC).The mechanism that underlies this is currently *** aim was to investigate the role of the IL-22 axis in pancreatic cancer initiation and progression.A panel of human PDAC lines were used to assess IL22R expression and p STAT3 signaling by western *** of IL-22,in vitro,on EmT and stemness were determined by microscopy and quantitative *** of IL-22

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解剖学题解1000则

解剖学题解1000则

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1981年

作者：布伦特（m.J.Blunt）泽吉斯（m.girgis）邱经权等译

本书介绍了解剖学题解的方方面面。

ISBN: (纸本)14048·4076

本书介绍了解剖学题解的方方面面。

关键词：人体解剖学学科:解题

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解剖学题解1000则

解剖学题解1000则

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作者： m.J.·布伦特(m.J. Blunt) m.·泽吉斯(m. girgis)

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mRI推导的首过团状注射动力学参数为肺动脉高压肺血流动力学、心功能、左室重建的生物学标志

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国际医学放射学杂志 2012年第4期 381-382页

作者： J. Skrok m.L. Shehata S. mathai R.E. girgis A. Zaiman J.O. mudd 王鹤 Department of Radiology Hannover Medical SchoolHannover Germany

摘要目的前瞻性比较肺动脉高压(PAH)病人和健康志愿者间对比增强(CE)mRI推导出的右心室到左心室的肺通过时间(PTT)、左心室(LV)充盈的半高全宽(FWHm)以及LV峰值时间(TTP),并分析这些数据与PAH病人生存标志的相关性。材料与方法本研究符... 详细信息

摘要目的前瞻性比较肺动脉高压(PAH)病人和健康志愿者间对比增强(CE)mRI推导出的右心室到左心室的肺通过时间(PTT)、左心室(LV)充盈的半高全宽(FWHm)以及LV峰值时间(TTP),并分析这些数据与PAH病人生存标志的相关性。材料与方法本研究符合HIPAA要求,并获得学院审查委员会的批准,得

关键词： mRI FWHm TTP CE PAH 病人 PTT 肺动脉心功能

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