Türk-Alman Üniversitesi Akademik Arşiv Sistemi
DSpace@Türk-Alman, Türk-Alman Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
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Imprinted Polymers on the Route to Plastibodies for Biomacromolecules (MIPs), Viruses (VIPs), and Cells (CIPs)
(Springer, 2024)Around 30% of the scientific papers published on imprinted polymers describe the recognition of proteins, nucleic acids, viruses, and cells. The straightforward synthesis from only one up to six functional monomers and the ... -
A Strep-Tag Imprinted Polymer Platform for Heterogenous Bio(electro)catalysis
(Wiley, 2024)Molecularly imprinted polymers (MIPs) are artificial receptors equipped with selective recognition sites for target molecules. One of the most promising strategies for protein MIPs relies on the exploitation of short ... -
Secondary structure dependence on simulation techniques and force field parameters: from disordered to ordered proteins
(2021)Computer simulations are used for identifying the secondary structure properties of ordered and disordered proteins. However, our recent studies showed that the chosen computer simulation protocol, simulation technique, ... -
Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms
(2024)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ... -
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
(2024)Reinforced concrete slabs are vulnerable to punching shear failure at the slab-column joint, which can initiate catastrophic progressive collapse. The addition of steel fibers in the concrete matrix has emerged as an ... -
Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach (
(2024)Since the cooling systems used in buildings in hot climates account for a significant portion of the energy consumption, it is very important for both economy and environment to accurately predict the cooling load and ... -
Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete
(2024)first_pagesettingsOrder Article Reprints Open AccessArticle Explainable Ensemble Learning and Multilayer Perceptron Modeling for Compressive Strength Prediction of Ultra-High-Performance Concrete by Yaren Aydın 1ORCID,Celal ... -
Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete
(Elsevier, 2024)Novel study deploys robust machine learning algorithms using newly built comprehensive dataset to predict reinforcing rebar-to-recycled coarse aggregate concrete (RCA) bond strength and failure mode. Prior investigations ... -
Kinematics, kinetics, and forces of the knee joint during walking
(Elsevier, 2024)Motion analysis is a valuable tool to monitor the kinematics and kinetics of body parts quantitatively and the decision-making process in clinical implementations. In gait analysis systems, temporospatial parameters, joint ... -
Patellar tendon advancement for the treatment of crouch gait in patients with cerebral palsy
(2023)Crouch gait is a frequent gait pathology in children with cerebral palsy (CP). Patellar tendon advancement (PTA) is a typical surgery among single-event multilevel surgery (SEMLS) for the treatment of crouch gait and ...