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Post hoc validation of a tool that accurately predicts the outcome of endoscopic therapy in Bouveret syndrome

Gastroenterology Report 2022年第1期10卷 298-304页

作者： Carla Swift John Ong Man Zhou Benjamin Stokell yasseen al-naeeb Department of Gastroenterology Norwich University HospitalNorwichUK Department of Engineering University of CambridgeCambridgeUK Department of Medicine National University of SingaporeSingapore GKT School of Medical Education King’s College LondonLondonUK Statistical Laboratory Centre for Mathematical SciencesUniversity of CambridgeCambridgeUK Department of Gastroenterology Bedford HospitalBedfordUK

Background Bouveret syndrome is characterized by gallstone impaction in the upper gastrointestinal tract causing gastric outlet *** Bouveret syndrome,endoscopic gallstone removal can avert the need for ***,in cases in which endoscopic therapy is unlikely to succeed,endoscopic attempts delay definitive treatment and compound patient *** previously developed a model that predicts endoscopic outcomes from data derived through a systematic *** tool uses gallstone length,site of impaction,and the number of planned methods of lithotripsy to predict the likelihood of endoscopic success with an accuracy of 81.0%.This study aimed to evaluate our tool performance in an independent,non-training data set and assess endoscopic and surgical *** Systematic searches of the PubMed,Scopus,and Cochrane databases were performed for articles published between 16 April 2018 and 1 June *** data reported after our previous study were harvested and inputted into the tool to evaluate their ability to accurately predict outcomes when compared with actual *** Newly collated data in fields of interest showed no significant statistical differences compared with previous training data *** therapy was successful in 41.9%of *** of ≤4 cm had a higher chance of successful endoscopic intervention(odds ratio 6.7,95%confidence interval 1.7–25.8,Pality *** hoc evaluation of our predictive tool demonstrated an AUROC score of *** We have demonstrated in an independent data set that the tool can be used to accurately predict outcomes of endoscopic *** in whom endoscopic therapy is most likely to fail should be offered an early surgical opinion.

关键词： Bouveret syndrome Bouveret’s syndrome gallstone duodenal obstruction gastric outlet obstruction gallstone ileus

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Selective Absorber Coatings and Technological Advancements in Performance Enhancement for Parabolic Trough Solar Collector

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Journal of Thermal Science 2022年第6期31卷 1990-2008页

作者： ASAAD yasseen al-Rabeeah ISTVAN Seres ISTVAN Farkas Doctoral School of Mechanical Engineering Hungarian University of Agriculture and Life SciencesGodollo H-2100Hungary Institute of Mathematics and Basic Science Hungarian University of Agriculture and Life SciencesGodollo H-2100Hungary Institute of Technology Hungarian University of Agriculture and Life SciencesGodollH-2100Hungary

Parabolic trough solar collector systems are the most advanced concentrating solar power technology for large-scale power generation purposes. The current work reviews various selective coating materials and their characteristics for different designs in concentrating solar power. Solar selective absorbing coatings collect solar radiation and convert it to heat. To promote higher efficiency and lower energy costs at higher temperatures requires, this study aims to analyse the fundamental chemistry and thermal stability of some key coatings currently being used and even under investigation to find reasons for differences, information gaps and potential for improvement in results. In recent years, several novel and useful solar absorber coatings have been developed. However, qualification test methods such as corrosion resistance, thermal stability testing and prediction of service life, which have essential technical value for large-scale solar absorbers, are lacking. Coatings are used to enhance the performance of reflectors and absorbers in terms of quality, efficiency, maintenance and cost. Differentiated coatings are required as there are no uniformly perfect materials in various applications, working conditions and material variations. Much more knowledge of the physical and chemical properties and durability of the coatings is required, which will help prevent failures that could not be discovered previously.

关键词： Parabolic trough solar collector selective coatings absorber receivers optical properties thermal stability

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Automatic Diagnosis of COVID-19 Patients from Unstructured Data Based on a Novel Weighting Scheme

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Computers, Materials & Continua 2023年第1期74卷 1375-1392页

作者： Amir yasseen Mahdi Siti Sophiayati Yuhaniz Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Computer Sciences and Mathematics College University of Thi_QarThi_Qar64000Iraq

The extraction of features fromunstructured clinical data of Covid-19 patients is critical for guiding clinical decision-making and diagnosing this viral ***,an early and accurate diagnosis of COVID-19 can reduce the burden on healthcare *** this paper,an improved Term Weighting technique combined with Parts-Of-Speech(POS)Tagging is proposed to reduce dimensions for automatic and effective classification of clinical text related to Covid-19 *** Frequency-Inverse Document Frequency(TF-IDF)is the most often used term weighting scheme(TWS).However,TF-IDF has several developments to improve its drawbacks,in particular,it is not efficient enough to classify text by assigning effective weights to the terms in unstructured *** this research,we proposed a modification term weighting scheme:RTF-C-IEF and compare the proposed model with four extraction methods:TF,TF-IDF,TF-IHF,and *** experiment was conducted on two new datasets for COVID-19 *** first datasetwas collected from government hospitals in Iraq with 3053 clinical records,and the second dataset with 1446 clinical reports,was collected from several different *** on the experimental results using several popular classifiers applied to the datasets of Covid-19,we observe that the proposed scheme RTF-C-IEF achieves is a consistent performer with the best scores in most of the ***,the modifiedRTF-C-IEF proposed in the study outperformed the original scheme and other employed term weighting methods in most ***,the proper selection of term weighting scheme among the different methods improves the performance of the classifier and helps to find the informative term.

关键词： Covid-19 clinical text natural language processing TWS machine learning

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Solutes in native plants in the Arabian Gulf region and the role of microorganisms: future research

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Journal of Plant Ecology 2018年第5期11卷 671-684页

作者： Roda Fahad al-Thani Bassam Taha yasseen Department of Biological and Environmental Sciences College of Arts&SciencesQatar UniversityDohaQatar Present address:8 James Court Dunstable RoadLuton LU40HNUK.

Aims One of the outstanding challenges facing humankind is increas-ing crop production under various types of severe environmental *** measures have been taken to adopt molecular and biotechnological approaches that lead to the development of transgenic plants able to deal with such harsh and polluted ***,such solutions could be very expensive and require considerable efforts and time to achieve these *** main objective of this review is to discuss the new biological solutions that have emerged in the last decade,as environmentally friendly approaches,perhaps to support and/or replace the present *** solutions based on plant-microbe interactions could be a lifeline and promising alternative strategy to create plants with a high resistance to the extreme *** During the last two decades research projects have been conducted to study the ecology,identify the features,and the ecophysiology of native plants and the associated microorganisms in the Arabian Gulf region and particularly in *** physiological and bio-chemical parameters have been determined,including organic sol-utes(amino acids like proline,glycinebetaine,soluble sugars,etc.),photosynthetic pigments,organic acids and inorganic ions espe-cially heavy metals,along with the physical and chemical proper-ties of the soil in various locations of the State of ***,the microorganisms adjacent to and associated with these native plants were identified to elucidate the possible roles in the soil biota in supporting these plants against extreme environmental *** Findings Investigations of native plants in the Arabian Gulf states during the last decade have shown that wild plants exhibit different abili-ties to accumulate organic solutes to cope with the harsh natural *** is a major factor stressing wildlife in this region due to the expansion of urban sectors and industrial activi-ties of oil and ***

关键词： Arabian Gulf region arid lands compatible solutes drought microorganisms modern approaches pollution salinity

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CeTrivium:A Stream Cipher Based on Cellular Automata for Securing Real-Time Multimedia Transmission

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Computer Systems Science & Engineering 2023年第12期47卷 2895-2920页

作者： Osama S.Younes Abdulmohsen alharbi ali yasseen Faisal alshareef Faisal albalawi Umar A.albalawi Faculty of Computer and Information Technology University of TabukTabuk71491Saudi Arabia Faculty of Computers and Information Menoufia UniversityMenoufia13829Egypt School of Computing&Data Science Wentworth Institute of TechnologyBoston02115USA

Due to their significant correlation and redundancy,conventional block cipher cryptosystems are not efficient in encryptingmultimedia *** based onCellularAutomata(CA)can provide amore effective *** CA have recently gained recognition as a robust cryptographic primitive,being used as pseudorandom number generators in hash functions,block ciphers and stream *** have the ability to perform parallel transformations,resulting in high throughput ***,they exhibit a natural tendency to resist fault *** stream cipher schemes based on CA have been proposed in the ***,their encryption/decryption throughput is relatively low,which makes them unsuitable formultimedia *** and Grain are efficient stream ciphers that were selected as finalists in the eSTREAM project,but they have proven to be vulnerable to differential fault *** work introduces a novel and scalable stream cipher named CeTrivium,whose design is based on *** is a 5-neighborhood CA-based streamcipher inspired by the designs of Trivium and *** is constructed using three building blocks:the Trivium(Tr)block,the Nonlinear-CA(NCA)block,and the Nonlinear Mixing(NM)*** NCA block is a 64-bit nonlinear hybrid 5-neighborhood CA,while the Tr block has the same structure as the Trivium stream *** NM block is a nonlinear,balanced,and reversible Boolean function that mixes the outputs of the Tr and NCA blocks to produce a *** of CeTrivium has indicated that it can resist various attacks,including correlation,algebraic,fault,cube,Meier and Staffelbach,and side channel ***,the scheme is evaluated using histogramand spectrogramanalysis,aswell as several differentmeasurements,including the correlation coefficient,number of samples change rate,signal-to-noise ratio,entropy,and peak signal-to-noise *** performance of CeTrivium is evaluated and compared with other state-of-

关键词： Stream ciphers cellular automata securing real-time streaming cryptography CeTrivium

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Using Neural Networks to Predict Secondary Structure for Protein Folding

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Journal of Computer and Communications 2017年第1期5卷 1-8页

作者： ali Abdulhafidh Ibrahim Ibrahim Sabah yasseen College of Science Al-Nahrain University Baghdad Iraq College of Information Engineering Al-Nahrain University Baghdad Iraq

Protein Secondary Structure Prediction (PSSP) is considered as one of the major challenging tasks in bioinformatics, so many solutions have been proposed to solve that problem via trying to achieve more accurate prediction results. The goal of this paper is to develop and implement an intelligent based system to predict secondary structure of a protein from its primary amino acid sequence by using five models of Neural Network (NN). These models are Feed Forward Neural Network (FNN), Learning Vector Quantization (LVQ), Probabilistic Neural Network (PNN), Convolutional Neural Network (CNN), and CNN Fine Tuning for PSSP. To evaluate our approaches two datasets have been used. The first one contains 114 protein samples, and the second one contains 1845 protein samples.

关键词： Protein Secondary Structure Prediction (PSSP) Neural Network (NN) α-Helix (H) β-Sheet (E) Coil (C) Feed Forward Neural Network (FNN) Learning Vector Quantization (LVQ) Probabilistic Neural Network (PNN) Convolutional Neural Network (CNN)

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Analysis and design of light emitting diodes for optoelectronic applications

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通讯和计算机（中英文版） 2009年第10期6卷 70-75页

作者： El-Sayed A. M. Hasaneen Mohamed Moness M. S. yasseen Faculty of Engineering El-Minia University El-Minia 61111 Egypt Faculty of Engineering Al-Azhar University Qena 83513 Egypt

This paper presents detailed analysis and design of light-emitting diodes for optoelectronic applications. Both internal and external efficiencies are investigated taking into account the nonradiative recombination process and the total internal reflection. The dependency of the LED output power on the efficiency and double pass parasitic absorption is studied. Effect of the temperature variation on the LED performance is also studied. A complete design of an encapsulated LED operating at 1.55 m has been investigated. The design illustrates layer structures and thickness, material compositions, and index of refraction. The results show that decreasing the radiation recombination time increases the quantum efficiency. The quantum efficiency increases from 15% to 70% as the radiative recombination time reduced from 0.5 s to 0.05 s. It is also shown that increasing the width of the active region increases the output power.

关键词：发光二极管灯光设计光电应用辐射时间输出功率量子效率全内反射温度变化

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