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Reduced Phosphorylated Foxp3 Levels in Crimean Congo Haemorrhagic Fever
No full textCrimean-Congo haemorrhagic fever (CCHF) is a severe human infection which can lead to fatal consequences. Acute CCHF patients were previously shown to exhibit frequencies of regulatory T-cell (Treg) but lower Treg-mediated suppressive activities than the healthy counterparts. This study aims is to investigate the phosphorylation levels of Foxp3 protein (master regulator of Treg cells) in CCHF patients. Blood samples collected from 18 CCHF patients and nine healthy volunteers were used to isolate peripheral blood mononuclear cells (PBMCs). Total and phosphorylated Foxp3 expression levels in the isolated PBMC samples were monitored by western blot and quantified using ImageJ software. Total Foxp3 expression levels in CCHF patients displayed decreasing trend, but not significantly. In contrast, significantly lower expression levels of phosphorylated Foxp3 were reported in CCHF patients. Our results suggest a possible association between Foxp3 dephosphorylation and CCHF pathogenesis. Nevertheless, more studies are required to evaluate the effect of Foxp3 dephosphorylation on Treg function, which would not only help to enlighten the CCHF pathogenesis but also contribute to the development of effective treatment strategies.We thank to Atlas Biotechnologies (Ankara/Turkey) for the technical support and TOBB Technology and Economics University/Ankara/Turkey for the financial funding (08.11.2021-DAF-2021-6).TOBB Technology and Economics University/Ankara/Turkey [08.11.2021-DAF-2021-6
Ses Üstü Lüleler İçin Pasif Ejektör Tasarımı ve Performans Analizleri
No full textEjektör/Difüzör yapıları ses üstü hızlarda uçan hava solumalı itki sistemlerinin yer seviyesi testlerinde uçuş koşulları benzeşimlerindeki hava akışını test bölgesine ileten alt yapı bileşenidir. Test altyapısı sisteminin arka basınç kontrolünü sağlayarak, test kaleminin konumlandırıldığı test odasında uçuş koşullarına benzer bir akış ortamı oluşturulmaktadır. Ses üstü lüle çıkışında konumlandırılan ejektör/difüzör tipindeki arka basınç kontrol sistemi olarak değerlendirilen pasif ejektör, ikincil bir kaynağa ihtiyaç duymadan test bölgesine uçuş koşullarındaki statik basınç koşullarını sağlamaktadır. Çalışmada pasif ejektörlerin tasarım parametresi olarak değerlendirilen vakum bölümü kesit alanının performansa etkileri incelenmektedir. İki boyutlu Hesaplamalı Akışkanlar Dinamiği kullanılarak pasif ejektör performansı değerlendirilmektedir. Pasif ejektörün modelleme çalışmalarına dayanak olması amacıyla düzlemsel geometri [Rajesh ve Kumar,2018] çalışmaları ile doğrulama faaliyetleri yürütülmüştür. Doğrulanan model kullanılarak pasif ejektördeki ses üstü akış, vakum ve şok yapıları vb. akış problemlerinin yüksek doğrulukta çözümlenmesi hedeflenmiştir
Makine Öğrenmesi İle Kalp Hastalıklarının Tespiti
No full textKalp hastalığı, yaygınlığı ve yüksek ölüm oranları nedeniyle insan sağlığını tehdit etmektedir. Kalp hastalığını tahmin etmek, geleneksel yöntemler kullanarak karmaşık bir iştir. Son yıllarda, kalp hastalıklarını tahmin etmek için makine öğrenimi teknikleri kullanılmaktadır. Bu çalışma kapsamında StatLog Kalp Hastalığı veri seti üzerinde Karar Ağacı, Naive Bayes, Lojistik Regresyon, Destek Vektör Makineleri ve K-En Yakın Komşu makine öğrenme teknikleri kullanılarak kalp hastalıklarının tespitine ilişkin ilişkin karşılaştırmalı bir analiz sunulmaktadır. Veri setindeki etkin öznitelikleri seçmek için Mann Whitney U testi kullanılmıştır. Makine öğrenimi algoritmalarının sınıflandırma performansı, doğruluk, kesinlik, duyarlılık ve F1-skoru açısından değerlendirilmiştir. Destek Vektör Makineleri 96.3% doğruluk, 95.83% kesinlik, 95.83% duyarlılık ve 95.83% F1skoru ile çalışmanın en iyi tahmin oranına sahip algoritması olmuştur. Bu çalışmanın klinisyenlere kalp hastalığını erken evrede tespit etmede yardımcı olacağına inanmaktayız.Heart disease threatens human health due to its prevalence and high mortality rates. Predicting heart disease is complicated task using traditional methods. In recent years, machine learning techniques have been utilized to predict heart diseases. In this study, a comparative analysis of heart disease detection is presented using Decision Tree, Naive Bayes, Logistic Regression, Support Vector Machines and K-Nearest Neighbor machine learning techniques on the StatLog Heart Disease dataset. Mann Whitney U test is utilized to select the influential features. The classification performance of machine learning algorithms was evaluated in terms of accuracy, precision, recall and F1 score. The Support Vector Machines was the algorithm with the best prediction rate of the study, with 96.3% accuracy, 95.83% precision, 95.83% sensitivity and 95.83% F1-score. We believe that this study will help clinicians detect heart disease at an early stage
Development of Radiant Warmer Thermal Monitoring System To Improve Neonatal Patient Safety
No full textTemperature measurement is a vital part of daily newborn care. In temperature measurement, accurate measurements must be taken to detect deviations from expected values for the incubator and radiant heater function. Monitoring the temperature is keeping the baby in a thermoneutral environmental zone. The study tested body surface temperature under various clinical conditions using an affordable infrared thermography imaging technique. Temperature distributions are displayed as real-time videos and analyzed to evaluate average skin temperatures. This study demonstrates the design and implementation of a virtual temperature sensing application that can help neonatologists provide additional security to a newborn's skin temperature. The influence of different environmental conditions inside the radiant heater with respect to the surface temperature has been verified.Sıcaklık ölçümü, günlük yenidoğan bakımının hayati bir parçasıdır. Sıcaklık ölçümünde, inkübatör ve radyant ısıtıcı işlevi için beklenen değerlerden sapmaları tespit etmek amacıyla doğru ölçümlerin alınması gerekmektedir. Sıcaklığı izlemek, bebeği termonötr bir çevre bölgesinde tutmaktır. Çalışmada uygun fiyatlı kızılötesi termografi görüntüleme tekniği kullanılarak vücut yüzey sıcaklığı çeşitli klinik koşullar altında test edilmiştir. Sıcaklık dağılımları gerçek zamanlı video olarak görüntülenmesi sağlanmakta ve ortalama cilt sıcaklıklarını değerlendirmek amacıyla analiz edilmektedir. Bu çalışma, neonatologlara bir yenidoğanın cilt sıcaklığına ek güvenlik sağlamaya yardımcı olabilecek sanal bir sıcaklık algılama uygulamasının tasarımını ve uygulamasını göstermektedir. Yüzey sıcaklığı ile ilgili olarak radyant ısıtıcının içindeki farklı çevresel koşulların etkisi doğrulanmıştır
Heterojen Filolu Elektrikli Araçlarla Zaman Pencereli, Senkronize İs İçeren Evde Saglik Bakim Hizmeti Rotalama ve Çizelgeleme Probleminin Optimizasyonu
No full textIn this study, we work on the home healthcare routing and scheduling problem with heterogeneous electric vehicles, fast chargers and synchronized jobs having time windows. The problem aims to establish daily routes and schedules for healthcare nurses to provide a variety of services to patients located at a scattered area. Each nurse should be assigned to an electric vehicle from a heterogeneous fleet of vehicles to perform the assigned jobs within working hours. We consider three different types of vehicles in terms of battery capacity and energy consumption. We aim to minimize the total cost of energy consumption, fixed nurse cost, and costs arising from the patients that cannot be served within the working day. A mixed integer programming formulation is developed for the problem. In addition, an adaptive variable neighborhood search (AVNS) algorithm, which successfully integrates greedy random adaptive search procedure (GRASP) heuristic is proposed. The heuristic employs a set of advanced efficient procedures tailored to handle the complex structure of the problem. In order to evaluate the performance of the proposed heuristic its results are compared with those of the mathematical model. We also conduct extensive experiments to analyze the problem and its parameters.Bu çalışmada, elektrikli araçlarla heterojen filolu, hızlı şarj teknolojili, senkronize iş içeren ve zaman pencerelerine sahip evde sağlık bakım hizmeti rotalama ve çizelgeleme problemi ele alınmıştır. Problem, evde sağlık bakım hemşirelerinin, dağınık bir alanda bulunan hastalara bir dizi hizmet sunması için günlük rotalar ve çizelgeler oluşturmayı amaçlamaktadır. Her hemşire, bir elektrikli araca atanır ve kendisine atanmış işleri çalışma saatleri içerisinde gerçekleştirmeye çalışır. Batarya kapasitesi ve enerji tüketimi açısından üç farklı araç türü mevcuttur. Problemde enerji tüketimi maliyeti, sabit hemşire maliyeti ve gün içerisinde tamamlanamayan işlerden kaynaklı toplam maliyetlerin en aza indirilmesi amaçlanmaktadır. Problem için bir karma tamsayılı programlama modeli geliştirilmiştir. Ek olarak, açgözlü rastgele uyarlamalı arama prosedürü (GRASP) sezgisel yöntemini içeren bir uyarlamalı değişken komşuluk arama (AVNS) algoritması geliştirilmiştir. Önerilen sezgisel algoritma problemin karmaşık yapısını ele almak için geliştirilmiş bir dizi verimli prosedür içerir. Önerilen sezgisel algoritmanın performansını değerlendirmek için algortimanın çözümünden elde edilen sonuçlar matematiksel modelin çözümünden elde edilen sonuçlar ile karşılaştırılmıştır. Ayrıca problemi ve parametreleri incelemek için detaylı deneysel çalışmalar yapılmıştır
Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure an Overview
No full textThis chapter explains the non-invasive and minimally invasive sensor technologies and techniques employed for heart failure (HF) diagnosis. It summarizes landmark studies and clinical trials which prove the potential of non-invasive monitoring of HF patients. The methods for identifying worsening HF can be listed as body weight measurements, electrocardiography (ECG), bioimpedance monitoring, activity tracking, implanted pressure sensors, lung ultrasound monitoring, measurements with sound and Doppler sensors, seismocardiography, ballistocardiography, photoplethysmography, and measurement of natriuretic peptides levels in circulating blood. It is necessary to elucidate the effect of remote monitoring modalities for HF prediction on large-scale randomized control trials. A relative increase in thoracic bioimpedance provides better prediction of HF-related congestion. ECG is among the under-investigated techniques for HF remote monitoring. The positive results of clinical trials with large numbers of patients show the high potential of non-invasive sensors for diagnosing HF.This study was funded by Qatar National Research Fund (QNRF), National Priority Research Program (NPRP13S-0108-200024) and Qatar University International Research Collaboration Co-Fund (IRCC) program (IRCC-2020-002). Dr. Ouakad is grateful for the support of the Research Grant provided by the Deanship of Research at Sultan Qaboos University (SQU) through grant number CL/SQU-QU/ENG/20/01
Uluslararası Olanı Tarihselleştirerek Ufkunu Açmak: Karşılaştırmalı Tarihsel Analiz
No full text[No Abstract Available
Search for Single Top-Quark Production Via Flavour-Changing Neutral Currents at 8 Tev With the Atlas Detector (vol 76, 55, 2016)
No full text[Abstract Not Available
Atlfast3: the Next Generation of Fast Simulation in Atlas
No full textThe ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes. © 2022, Springer Nature Switzerland AG.IN2P3-CNRS; National Science Foundation, NSF; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; Canarie; H2020 Marie Sk?odowska-Curie Actions, MSCA; Arizona-Nevada Academy of Science, ANAS; CERN; Compute Canada; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Leverhulme Trust; Royal Society; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; Neurosurgical Research Foundation, NRF; Singapore Eye Research Institute, SERI; Helmholtz-Gemeinschaft, HGF; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, KAKEN; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Joint Institute for Nuclear Research, JINR; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministerstwo Edukacji i Nauki, MNiSW; Ministry of Science and Technology, Taiwan, MOST; Ministerio de Ciencia e Innovación, MICINN; Centre National pour la Recherche Scientifique et Technique, CNRST; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Council on grants of the President of the Russian Federation; National Research Center "Kurchatov Institute", NRC KIWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sk?odowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, UK
Tunable Electronic Properties of Porous Graphitic Carbon Nitride (c6n7) Monolayer by Atomic Doping and Embedding: a First-Principle Study
No full textMotivated by the successful synthesis of the porous graphitic carbon nitride (C6N7) monolayer very recently, we investigate the structural and electronic properties of C6N7 with doped and embedded with various atoms by means of spin-polarized density functional theory calculations. C6N7 monolayers doped with B, N, C, and O atoms have been revealed as stable and predicted to be feasible for experimental fabrication as free-standing monolayers based on the energy and thermal stability. Our computations demonstrate that while the C6N7 is a semiconductor, the doped C6N7 monolayers can be metal, dilute-magnetic semiconductor or half-metal. Further, a non magnetic moment is discovered in three of the doped C6N7 models and their electronic properties are disclosed to depend strongly on the spin configurations. The electronic properties of C6N7 depend on the doping atoms and doping sites. Furthermore, the effect of embedding of common nonmetal atoms such as B, C, N, S, O, Al, Si and P as well as transition metal including Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu and Zn atoms on the electronic and magnetic behavior of the C6N7 are studied. The charge transfer analysis shows that all embedded atoms act as electron donors, expect N, O and S atoms which act as electron acceptors when interacting with C6N7. The modification of the electronic band structure of C6N7 as the underlying mechanism for the changes in its electronic properties has been investigated. The intention is to demonstrate how entering the above mentioned impurities changes the nature of C6N7 into a metal, ferromagnetic-metal or dilute-magnetic semiconductor. These findings give not only an insight into the physical properties of doped and embedded C6N7 monolayer by different atoms, but also can serve as a guide to discover future possible applications of this novel material.National Research Foundation of Korea - Korean government [NRF-2015M2B2A4033123]This work was supported by the National Research Foundation of Korea grant funded by the Korean government (NRF-2015M2B2A4033123) . Computational resources were provided by TUBITAK ULAKBIM, at the High Performance and Grid Computing Center (TR-Grid e-Infrastructure)