There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

http://repositorium.sdum.uminho.pt/bitstream/1822/48763/1/1-s2.0-S037026931200857X-main.pdf

Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

https://digital.csic.es/bitstream/10261/108964/1/experiment%20at%20the%20LHC.pdf

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

We discuss the theoretical bases that underpin the automation of the computations of tree-level and next-to-leading order cross sections, of their matching to parton shower simulations, and of the merging of matched samples that differ by light-parton multiplicities. We present a computer program, MadGraph5 aMC@NLO, capable of handling all these computations — parton-level fixed order, shower-matched, merged — in a unified framework whose defining features are flexibility, high level of parallelisation, and human intervention limited to input physics quantities. We demonstrate the potential of the program by presenting selected phenomenological applications relevant to the LHC and to a 1-TeV e + e − collider. While next-to-leading order results are restricted to QCD corrections to SM processes in the first public version, we show that from the user viewpoint no changes have to be expected in the case of corrections due to any given renormalisable Lagrangian, and that the implementation of these are well under way.

/pdf/the-automated-computation-of-tree-level-and-next-to-leading-4etm0g6w46.pdf

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Mailing Address: Ersin Doğanözü Baskent Universitesi Tip Fakultesi Cardiology 10. Sk Fevzi Çakmak Cd. Postal Code: 06490, Başkent Hastanesi Kardiyoloji Ankara, Ankara Turkey E-mail: ersindoganozu@gmail.com Pacemaker Implantation in Dextrocardia with Congenitally Corrected Transposition of the Great Arteries: A Case Report Orçun Çiftci, Ersin Doğanözü, Kerem Can Yılmaz, Mustafa Yılmaz, İlyas Atar, Bülent Özin Baskent Universitesi Tip Fakultesi Cardiology Ankara, Ankara Turkey

/pdf/pacemaker-implantation-in-dextrocardia-with-congenitally-51ooxaq1re.pdf

Pacemaker Implantation in Dextrocardia with Congenitally Corrected Transposition of the Great Arteries: A Case Report

The optically pure binaphthyl-based phosphoramidite ligands and their perfluorinated analogs have been first used for the preparation of chiral palladium nanoparticles (PdNPs). These PdNPs have been extensively characterized by X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, 31P NMR, and thermogravimetric analysis techniques. The circular dichroism(CD) analysis of chiral PdNPs exhibited negative cotton effects. Perfluorinated phosphoramidite ligands provided smaller (2.32–3.45 nm) and well-defined nanoparticles, in comparison with the nonfluorinated analog (4.12 nm). The catalytic behavior of binaphthyl-based phosphoramidite stabilized chiral PdNPs has been investigated in the asymmetric Suzuki C–C coupling reactions for the formation of sterically hindered binaphthalene units, and high isolated yields (up to 85%) were achieved with excellent enantiomeric excesses (>99% ee). Recycling studies revealed that chiral PdNPs could be reused over 12 times without significant loss in activity and enantioselectivity (>99% ee). The nature of the active species was also investigated with a combination of poisoning and hot filtration tests and found that catalytically active species is the heterogeneous nanoparticles. These results indicate that the use of phosphoramidite ligands as a stabilizer for developing efficient and unique chiral nanoparticles could open up a field for many other asymmetric organic transformations promoted by chiral catalysts.

https://doi.org/10.1021/acs.inorgchem.3c00079

Highly Enantioselective Binaphthyl-Based Chiral Phosphoramidite Stabilized-Palladium Nanoparticles for Asymmetric Suzuki C–C Coupling Reactions

/pdf/a-comparative-analysis-of-posterior-and-lateral-approaches-mt56ohf2.pdf

A Comparative Analysis of Posterior and Lateral Approaches in Hip Hemiarthroplasty of Patients Older than 65 Years Regarding Dislocation and Periprosthetic Fracture Rates

This study was conducted to determine the antioxidant and antiproliferative activity and phytoconstituents of the hydroalcoholic extract of Echinophora chrysantha (Apiaceae) (EC). LC-MS/MS was used for the identification of non-volatile secondary metabolites. With the LC-MS/MS-based analysis of EC extract, thirty-three non-volatile metabolites were identified belonging to the flavonoid and organic acid categories. The extract showed excellent antiproliferative activity against HT-29 (IC50 =4.07±0.2μg/ml) and HeLa (1.41±0.1μg/ml) with low cytotoxicity toward normal cell lines with IC50 values ranging from 91.24±4.0 to 118.03±3.1μg/ml, inspected through the MTT method. The plant extract showed a high antioxidant activity of IC50=11.52±1.83μg/ml in DPPH and 63.58±4.05µg TE (Trolox equivalent) g-1 in reducing power assay. Identification of metabolites and evaluation of the bioactivity of EC also supports the traditional usage of this plant and its medicinal value. 

LC-MS/MS profiling phytochemical content of Echinophora chrysantha (Apiaceae) and antiproliferative, antioxidant activity

Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop a point-of-care testing (POCT) system that can detect COVID-19 by detecting volatile organic compounds (VOCs) in a patient's exhaled breath using the Gradient Boosted Trees Learner Algorithm. 294 breath samples were collected from 142 patients at Istanbul Medipol Mega Hospital between December 2020 and March 2021. 84 cases out of 142 resulted in negatives, and 58 cases resulted in positives. All these breath samples have been converted into numeric values through five air sensors. 10% of the data have been used for the validation of the model, while 75% of the test data have been used for training an AI model to predict the coronavirus presence. 25% have been used for testing. The SMOTE oversampling method was used to increase the training set size and reduce the imbalance of negative and positive classes in training and test data. Different machine learning algorithms have also been tried to develop the e-nose model. The test results have suggested that the Gradient Boosting algorithm created the best model. The Gradient Boosting model provides 95% recall when predicting COVID-19 positive patients and 96% accuracy when predicting COVID-19 negative patients. Doi: 10.28991/ESJ-2023-SPER-08 Full Text: PDF

https://www.ijournalse.org/index.php/ESJ/article/download/1411/pdf

Mustafa Yilmaz

Papers

Pacemaker Implantation in Dextrocardia with Congenitally Corrected Transposition of the Great Arteries: A Case Report

Highly Enantioselective Binaphthyl-Based Chiral Phosphoramidite Stabilized-Palladium Nanoparticles for Asymmetric Suzuki C–C Coupling Reactions

A Comparative Analysis of Posterior and Lateral Approaches in Hip Hemiarthroplasty of Patients Older than 65 Years Regarding Dislocation and Periprosthetic Fracture Rates

LC-MS/MS profiling phytochemical content of Echinophora chrysantha (Apiaceae) and antiproliferative, antioxidant activity

Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence