Güncel Gönderiler: Scopus İndeksli Yayınlar Koleksiyonu
Toplam kayıt 1529, listelenen: 461-480
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An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy
(ELSEVIER, 2013)Extracorporeal Shock Wave Lithotripsy (ESWL) is based on disintegration of the kidney stone by delivering high-energy shock waves that are created outside the body and transmitted through the skin and body tissues. ... -
The Experimental Determination of Interfacial Energies for Solid Zn in Equilibrium with Zn-Al-Sb Liquid
(SPRINGER, 2015)The equilibrated grain boundary groove shapes of solid Zn in equilibrium with Zn-Al-Sb liquid were observed from a quenched sample using a radial heat flow apparatus. The Gibbs-Thomson coefficient, solid-liquid interfacial ... -
Proton-conducting blend membranes of Nafion/poly(vinylphosphonic acid) for proton exchange membrane fuel cells
(SPRINGER, 2013)Nafion/poly(vinylphosphonic acid) blends were synthesized and characterized in this work. Poly(vinylphosphonic acid), PVPA, was synthesized by the free-radical polymerization of vinylphosphonic acid. Then Nafion/PVPA ... -
Taking advantage of a diverse set of efficient production schedules: A two-step approach for scheduling with side concerns
(PERGAMON-ELSEVIER SCIENCE, 2013)In many practical scheduling problems, the concerns of the decision-maker may not be all known in advance and therefore may not be included in the initial problem definition as an objective function and/or as constraints. ... -
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various subtypes with different clinical and biological implications. Based on these differences, ... -
Machine learning approaches for underwater sensor network parameter prediction
(ELSEVIER, 2023)Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ... -
Green environment in the EU countries: The role of financial inclusion, natural resources and energy intensity
(ELSEVIER, 2023)The European Union pursues the European Green Deal strategy as well as Sustainable Development Goals, the main target of which is to become a carbon-neutral continent by 2050. Hence, a lot of environmental challenges need ... -
Monitoring and verification of micro-strain generated inside the laminate subjected to thermal loading through fiber bragg grating sensors and classical laminate theory
(WILEY, 2023)Fiber Bragg Grating (FBG) sensors possess enormous potential for the cure monitoring and integrity assessment of Carbon Fiber Reinforced Polymer (CFRP) composites. These sensors can be embedded inside the structure to ... -
Determination of stress-strain relationship based on alkali activator ratios in geopolymer concretes and development of empirical formulations
(ELSEVIER SCIENCE INC, 2023)Fly ash-based geopolymer has recently gained attention of researchers due to its potential application, as well as being an alternative binder with low emissions compared to ordinary Portland cement (OPC) in concrete ... -
Knowledge about others' knowledge: how accurately do teachers estimate their students' test scores?
(SPRINGER, 2023)Besides learners' awareness of their knowledge, a growing number of studies also emphasise the importance of teachers' awareness of how well their students perform to adjust their teaching strategies accordingly. Therefore, ... -
RF MEMS variable attenuators with improved dB-linearity
(SPRINGER HEIDELBERG, 2023)A variable attenuator is one of the essential components in radio frequency (RF) systems, such as automatic gain control amplifiers and full-duplex systems. Variable attenuators based on microelectromechanical systems ... -
Dynamic Tuning of Plasmonic Hot-Spot Generation through Cilia-Inspired Magnetic Actuators
(WILEY, 2023)Soft actuators that draw inspiration from nature are powerful and versatile tools for both technological applications and fundamental research, yet their use in hot-spot engineering is very limited. Conventional hot-spot ... -
Optical Properties in a ZnS/CdS/ZnS Core/Shell/Shell Spherical Quantum Dot: Electric and Magnetic Field and Donor Impurity Effects
(MDPI, 2023)A theoretical analysis of optical properties in a ZnS/CdS/ZnS core/shell/shell spherical quantum dot was carried out within the effective mass approximation. The corresponding Schrödinger equation was solved using the ... -
Anhedonia in Relation to Reward and Effort Learning in Young People with Depression Symptoms
(MDPI, 2023)Anhedonia, a central depression symptom, is associated with impairments in reward processing. However, it is not well understood which sub-components of reward processing (anticipation, motivation, consummation, and learning) ... -
In Situ Synthesis of Horseradish Peroxidase Nanoflower@Carbon Nanotube Hybrid Nanobiocatalysts with Greatly Enhanced Catalytic Activity
(AMER CHEMICAL SOC, 2023)Organic-inorganic hybrid nanoflowers (NFs) consisting of horseradish peroxidase (HRP) and copper II (Cu2+) are successfully synthesized with the involvement of carbon nanotubes (CNTs) by in situ and post-modification ... -
Boosting the Ceramics with In Situ MOF- Derived Nanocarbons
(AMER CHEMICAL SOC, 2023)Metal-organic framework (MOF)-derived nano-carbons have emerged as promising materials for energy and environmental applications owing to their high surface area, structural and chemical tunability, and hierarchical porosity. ... -
NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs
(PERGAMON-ELSEVIER SCIENCE, 2023)Many supervised machine learning based noncoding RNA (ncRNA) analysis methods have been developed to classify and identify novel sequences. During such analysis, the positive learning datasets usually consist of known ... -
Invention of 3Mint for feature grouping and scoring in multi-omics
(FRONTIERS MEDIA SA, 2023)Advanced genomic and molecular profiling technologies accelerated the enlightenment of the regulatory mechanisms behind cancer development and progression, and the targeted therapies in patients. Along this line, intense ... -
A distributed relative localization approach for air-ground robot formations with onboard sensing
(PERGAMON-ELSEVIER SCIENCE, 2023)In a multi-robot system, diversity in the sensing and motion models of robotic entities can improve the overall performance. While such heterogeneous systems offer peculiar advantages in terms of robustness and resiliency, ... -
Extreme flexibility and unusual piezomechanical properties of zinc-alkyl-based metal-organic frameworks: A first principles study
(ELSEVIER, 2023)The behavior of three Zn-alkyl-based MOFs, ZnGA (Zn-Glutarate), ZnAA (Zn-Adipate), and ZAG-4 (Zinc Alky Gate), under hydrostatic compression has been investigated using first-principles DFT simulation, which has proven its ...