TOBB ETU GCRIS Database
Not a member yet
9778 research outputs found
Sort by
Comparison of Endovenous Laser Ablation and Cyanoacrylate Embolization in the Non-Invasive Treatment of Superficial Venous Insufficiency in Terms of Patient Satisfaction
No full textObjective Ablation with n-butyl cyanoacrylate is a clinically newer technique than endovenous laser ablation and other interventional techniques in the treatment of chronic venous insufficiency (CVI). The aim of this study was to compare the endovenous laser ablation (EVLA) and n-butyl cyanoacrylate (NBCA) interventional techniques in terms of benefit, effectiveness, and patient satisfaction. Materials and Methods The study was conducted at Yozgat City Hospital and Bozok University Research Hospital Cardiovascular Surgery clinics between November 2016 and February 2021. A total of 260 symptomatic patients with 130 randomized cases in each intervention group were included. NBCA patients constituted Group 1 and EVLA patients Group 2. The saphenous vein was evaluated by color Doppler ultrasonography (CDUS) of the lower extremity. Patients with saphenous veins over 5.5 mm in diameter and a saphenous-femoral reflux time of 2 s or longer were included in the study. The patients were asked about their satisfaction and symptoms in the first postoperative week during an outpatient clinic follow-up with CDUS investigation at the first and sixth months. Results Although vena saphenous magna (VSM) closure results were similar with the two methods, satisfaction rates were found to be higher with the NBCA procedure. Conclusion Comparison of the new methods used in the treatment of CVI revealed similar VSM closure rates in the two methods, but the satisfaction rate was higher with the NBCA technique in this study
Same family, same mutation, different ECG
No full textBackground:Different types of long QT syndromes (LQTS) have distinct ECG manifestations according to the type and magnitude of ion channel dysfunction. While LQT1 carriers usually have broad-based T waves and LQT3 carriers have extended ST segments with relatively narrow peaked T waves; LQT2 carriers have low-amplitude T waves with high incidences of notches. Methods:We describe three members of a family with the same LQTS2 pathogenic variant, but different surface ECG findings. Conclusion:This case shows ECG differences may also occur between family members who have pathogenic variants associated with long QT syndrome
Search for Supersymmetry in Final States With Missing Transverse Momentum and Three or More B-Jets in 139 Fb-1 of Proton-Proton Collisions at √s=13 Tev With the Atlas Detector
No full textA search for supersymmetry involving the pair production of gluinos decaying via off-shell third-generation squarks into the lightest neutralino ((chi) over tilde (0)(1)) is reported. It exploits LHC proton-proton collision data at a centre-ofmass energy root s = 13 TeV with an integrated luminosity of 139 fb(-1) collected with the ATLAS detector from 2015 to 2018. The search uses events containing large missing transverse momentum, up to one electron or muon, and several energetic jets, at least three of which must be identified as containing b-hadrons. Both a simple kinematic event selection and an event selection based upon a deep neural network are used. No significant excess above the predicted background is found. In simplified models involving the pair production of gluinos that decay via off-shell top (bottom) squarks, gluino masses less than 2.44 TeV (2.35 TeV) are excluded at 95% CL for a massless (chi) over tilde (0)(1). Limits are also set on the gluino mass in models with variable branching ratios for gluino decays to b (b) over bar (chi) over tilde (0)(1), t (t) over bar (chi) over tilde (0)(1) and t (b) over bar (chi) over tilde (-)(iota) / (t) over barb (chi) over tilde (0)(1).ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; BMBF, Germany; MPG, Germany; Hong Kong SAR, China; ISF, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SERI, Switzerland; MOST, Taiwan; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex , France; ANR, France; DFG , Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; STFC, United Kingdom; TENMAK, Turkiye; Canton of Geneva, Switzerland; Canton of Bern, Switzerland; SNSF, Switzerland; SRC, Sweden; DSI/NRF, South Africa; NWO, Netherlands; Benoziyo Center, Israel; RGC, China; GSRI, Greece; HGF, Germany; SRNSFG, Georgia; Minciencias, Colombia; MOST, China; CAS, China; ANID, Chile; CERN; NRC, CanadaWe thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS 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; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Skodowska-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 MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [104]
Osmanlidan Günümüze Askeri Disiplin Cezalari
No full textOrduların temelini oluşturan disiplin; astların kanun, nizam ve amirler tarafından verilen hizmete müteallik emirlere kayıtsız ve şartsız itaat etmeleri ile sağlanır. Sağlam hiyerarşik yapısı ve mutlak itaate dayanan çelikleşmiş disiplin anlayışı ile tüm dünyanın takdirini kazanan Türk Ordusu, bu özelliğiyle tarih sahnesine çıktığı andan günümüze kadar uzanan süreçte “ordu-millet” ve “asker-millet” kavramlarıyla anılmaktadır. Hiç şüphesiz disiplin anlayışının bu şekilde değerlendirilmesinde, caydırıcı ve ıslah edici nitelikte olan disiplin cezaları da önemli bir yere sahiptir. Çalışmada; Osmanlı İmparatorluğundan günümüze kadar, askeri kanunlarda yer alan disiplin cezaları tarihsel süreç içerisinde incelenmiştir. Tarihsel süreç içerisinde söz konusu disiplin cezalarında değişikliği gerektiren nedenler; sosyal, siyasal ve askeri gelişmeler ışığında değerlendirilmeye çalışılmıştır. ‘Osmanlı’dan Günümüze Askeri Disiplin Cezaları’ adlı çalışma ile; konunun tarihsel süreç içerisinde kronolojik olarak incelenmesi ve aynı zamanda ileride yapılacak kanunlaştırma hareketlerine de fayda sağlanması amaçlanmıştır
Non-invasive optical brain imaging of sarcopenia disease: preliminary results
No full text1. Ulusal Nörogörüntüleme Kongresi (NGK 2023) 7-9 Eylül 2023 / 1st National Neuroimaging Congress 7–9 September 2023Objective: Sarcopenia is an age-related disease characterized by skeletal muscle mass and function deterioration. Recent studies indicate that sarcopenia can be associated with an increase in the likelihood of cognitive impairment and in addition to cognitive functioning, muscle functions might be a critical factor to understand the sarcopenia compared to muscle mass. To understand these functions, we utilized Functional Near-Infrared Spectroscopy (fNIRS) to reveal neurological markers of sarcopenia by observing both motor functions of sarcopenia patients and healthy controls. Methods: In this study, we recorded fNIRS data from 32 female participants (20 control, 12 sarcopenic) during the Hand-Grip paradigm. Optodes were positioned over Primary Motor Cortex (BA 4), Premotor and Supplementary Motor Cortex (BA 6) and Dorsolateral Prefrontal Cortex (BA 46 ; BA 9). After preprocessing, mean oxy-hemoglobin concentration change (ΔHbO2) was used as independent variable for two-way repeated measures ANOVA to analyze the group (sarcopenic, healthy controls),condition (for hand grip, grip ; rest) main effect and their interactions. Results: None of the regions showed significant group main effect (p>0.05). All of the regions showed significant condition main effect (p0.05). Post hoc results revealed that grip condition is greater than rest condition. Also, there was no significant interaction between group and condition (p>0.05). Conclusion: As expected, there was a significant difference between rest and grip conditions. Moreover, we have seen that the control group showed greater response during grip condition. However, we did not find any significant difference between participants groups and no interactions between groups and conditions. This result is similar to the result of the study done by Trost et. al. (2023) which is the only task-based neuroimaging study carried out on sarcopenia patients, where they did not find any differences between participant groups in single task experiments. This study is supported by TUBITAK within the scope of ARDEB 1001 with the title “Identification of Neuro-Cognitive Markers of Sarcopenia Disease by Using Functional Near Infrared Spectroscopy and Artificial Intelligence Approaches” and project number 122E210.This study is supported by TUBITAK within the scope of ARDEB 1001 with the title “Identification of Neuro-Cognitive Markers of Sarcopenia Disease by Using Functional Near Infrared Spectroscopy and Artificial Intelligence Approaches” and project number 122E210
Agri Hissinin Eeg Sinyalleri Kullanilarak Objektif Tahmini ve Derin Ögrenme Modelleri ile Derecelendirilmesi
No full textPain is defined as a non-pleasurable, complex and multidimensional sensation experienced by people. Objective classification of pain is of great importance for patients who are monitored in hospitals, for individuals who cannot express themselves, and for people who have been exposed to anesthesia during or after surgery. In addition, subjective grading of pain can cause a misleading response from person to person and may result in the person being directed to the wrong treatment protocol. Thanks to the grading of pain with artificial intelligence models, it will be possible to reach information about orientation to the right treatment and grading the severity of pain of individuals who cannot express themselves. In the thesis study, EEG data obtained from individuals by giving pain stimulus was classified as high and low pain by creating a one-dimensional convolutional neural network model (1 Dimensional Convolutional Neural Networks, 1D CNN). The EEG data obtained for the feature selection to be used in the model were cleared of noise beforehand. In the next step, T-test was applied to the cleaned data and the parts that made a difference were determined. The features in the time-frequency response from the determined sections were extracted and used in the prepared model. The designed model was compared with the Reccurrent Neural Network (RNN) model, which is one of the deep learning models for comparison purposes. As a result of the thesis study, it was observed that the 1D convolutional neural network model, designed within the scope of the information received, made an average of 92% correct classification. The findings show that the model designed for objective grading of pain sensation can be a good marker.Ağrı, haz verici olmayan kompleks ve çok boyutlu olmak üzere kişilerin tecrübe ettiği his olarak tanımlanır. Ağrının objektif olarak sınıflandırılması, hastanelerde mönitörize olmuş hastalar için, kendini ifade edemeyen bireyler için ve ameliyat sonrası ya da esnasında anesteziye maruz kalmış kişiler için büyük önem taşımaktadır. Ayrıca ağrının subjektif olarak derecelendirilmesi kişiden kişiye yanıltıcı bir cevaba sebep olabilmektedir ve kişinin yanlış tedavi protkolüne yönlendirilmesi ile sonuçlanabilmektedir. Ağrının yapay zeka modelleri ile derecelendirilmesi sayesinde doğru tedaviye yönelim ve kendini ifade edemeyen bireylerin ağrı şiddetlerini derecelendirebilmesi hakkında bilgiye ulaşmak mümkün olabilecektir. Yapılan tez çalışmasında, ağrı uyarını verilerek bireylerden alınan EEG verileri bir boyutlu evrişimsel sinir ağı modeli (1 Dimensional Convolutional Neural Networks, 1D CNN) oluşturularak yüksek ve düşük ağrı olarak sınıflandırılmıştır. Modelde kullanılacak öznitelik seçimi için alınan EEG verileri öncesinde gürültülerden temizlenmiştir. Sonraki aşamada temizlenen verilere T-test uygulanarak fark oluşan bölümler belirlenmiştir. Belirlenen bölümlerden zaman-frekans cevabında öznitelikler çıkarılarak hazırlanan modelde kullanılmıştır. Tasarlanan model karşılaştırılma amaçlı derin öğrenme modellerinden olan özyinemeli sinir ağları (Reccurrent Neural Network, RNN) modeli ile karşılaştırılmıştır. Tez çalışmasının sonucunda alınan bilgiler dahilinde tasarlanan 1 boyutlu evrişimsel sinir ağları modelinin ortalama %92 oranında doğru sınıflandırma yaptığı gözlemlenmiştir. Elde edilen bulgular dahilinde ağrı hissinin objektif derecelendirilmesi için tasarlanan modelin iyi bir belirteç olabileciğini göstermektedir
Yara Tedavisinde Uygulanan Geleneksel Yöntemler: Larva Debridman Tedavisi ve Hirudoterapi
No full text[No Abstract Available
Low-Cost and Portable Plasmonic Biosensor for Label-Free Detection of Viruses in Resource-Limited Settings
No full textThe development of rapid diagnostic kits is very critical for the early diagnosis and treatment of infectious diseases. In this study, a lightweight and field-portable biosensor that uses a plasmonic chip based on nanohole arrays integrated into a lens-free imaging framework was presented for label-free virus detection in field settings. A high-efficiency CMOS camera was used in the biosensor platform to observe the diffraction field patterns of nanohole arrays under uniform illumination from a spectrally-tuned LED source, which is specifically configured to excite the plasmonic mode supported by the nanohole arrays. The portable biosensor presented reliable label-free detection of H1N1 viruses and produced accurate results at medically relevant concentrations. A low-cost and user-friendly sample preparation kit was developed in order to prepare the surface of the plasmonic chip for analyte binding, e.g., virus-antibody binding. A Python-based graphical user interface (GUI) was also developed to make it easy for the user to access the biosensor hardware, capture and process diffraction field images, and present virus information to the end-user. The portable biosensor platform employs nanohole arrays and lens-free imaging for highly sensitive virus detection with an LOD of 103 TCIDinf>50/inf>/mL. It is accurate and efficient, making it suitable for diagnostic use in resource-limited settings where access to advanced equipment may be limited. The presented platform technology could quickly adapt to capture and detect other different viral diseases, e.g., COVID-19 or influenza by simply coating the plasmonic chip surface with an antibody possessing affinity to the virus type of interest. © 2025 Elsevier B.V., All rights reserved
Investigating the Charge Transport Properties of Nucleic Acid Analogues with Density Functional Theory
No full textThe 3rd BEYOND 2023: Computational Science, Mathematical Modeling and Engineering Conference TOBB University of Economics and Technology, Ankara-Turkey, 19-20 October 2023In terrestrial organisms, DNA carries genetic information and plays roles in protein synthesis and evolution through mutations. Besides its importance in life, DNA is also a significant building block for nanotechnology applications, especially for molecular electronics with their self-assembly ability and tunable electronic conductivity. Even though they can act as transistors, rectifiers etc. with their electronic characteristics, integration of DNA to electronic devices have some difficulties within currently available technologies due to its unstable behavior in high temperatures (above ~70 oC). By using nucleic acid analogues, which have similar properties with DNA but have more structural stability in higher temperatures, we may overcome this limitation. Here, we showed that nucleic acid analogues can create different charge transport pathways by using molecular dynamics and DFT (Gaussian 09, B3LYP/631G(d,p)) calculations. First of all, the necessary force field parameters for the analogues are generated by using antechamber based on bsc1 and gaff force fields, and partial charges are calculated with DFT (Gaussian 09, B3LYP/6-31G(d,p)) for unknown parts of the nucleic acids. After the MD simulations, we classified the conformations with clustering algorithms among 50,000 different molecular structures. We select the representative conformation of each different cluster to see the effect of different conformations on the overall charge transport properties of the molecule. Our research shows that different conformations of the same molecule and the density of states in the electrode coupled region of the DNA affect the charge transport properties. We showed that modifying DNA with the analogues can decrease the conductance up to 10 times
Monitoring Neural Activity in Infants: Integration of Functional Diffuse Correlation Spectroscopy and Electroencephalography
No full textFunctional diffuse correlation spectroscopy (fDCS) and electroencephalography (EEG) have shown distinct advantages in studying the infant´s brain. In this work, we used a 16-channel fDCS device and 128-sensors Geodesic EEG system to test the feasibility of measuring task-triggered responses in infants. We examined neural responses to visual stimuli (e.g., checkerboard display) and to speech stimuli presented in an alternating/non-alternating design. Our preliminary results of 46 infants found a strong neural response to visual stimuli in the occipital region, showing increased cerebral blood flow and visually evoked responses. This suggested that the fDCS-EEG setup is promising for exploring cognitive function in infants