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Experiences of children with learning disabilities living in low-income households during the Covid-19 pandemic
(Taylor & Francis, 2023-11-02)
All children, particularly those with special needs, have been adversely affected by the COVID-19 pandemic. This qualitative study explored the experiences of children with learning disabilities (LD) during the COVID-19 ...
Turkish children’s bedtime routines during the COVID-19 pandemic: preliminary evaluation of the bedtime routines questionnaire
(Taylor and Francis, 2023-10-2)
Children’s routines, including bedtime, have been disrupted during the COVID-19 pandemic. How parents engage in their children’s bedtime routines has not yet been examined in Turkey. The purpose of the current study was ...
“More Alike than Different”: a qualitative exploration of the relational experiences of multicultural couples in Turkey
(Taylor & Francis, 2023)
In this study, multicultural couples’ experience of the impact of culture on their romantic relationships was explored. The sample included eight heterosexual couples cohabiting or married for at least 6 months, and who ...
Free space optical communication: An enabling backhaul technology for 6G non-terrestrial networks
(MDPI, 2023-11)
The deployment of non-terrestrial networks (NTNs) is envisioned to achieve global coverage for 6G and beyond. In addition to space nodes, aerial NTN nodes such as high-altitude platform stations (HAPSs) and rotary-wing ...
Customer-focused aircraft seat design: A case study with AHP-QFD
(Vilnius Gediminas Technical University, 2023-11-23)
Aviation is rapidly expanding and recovering from the pandemic impact driven by the experience economy. This is particularly subject to interfaces such as the aircraft seats, which are getting intense attention as a ...
Moving from symptom management to upstream plastics prevention: The fallacy of plastic cleanup technology
(Elsevier, 2023-11-17)
Plastic removal technologies can temporarily mitigate plastic accumulation at local scales, but evidence-based criteria are needed in policies to ensure that they are feasible and that ecological benefits outweigh the ...
Maintaining connectivity for multi-UAV multi-target search using reinforcement learning
(Association for Computing Machinery, Inc, 2023-10-30)
We propose a dynamic path planner that uses a multi-Agent reinforcement learning (MARL) model with novel reward functions for multi-drone search and rescue (SAR) missions. We design a mission environment where a multi-drone ...
Dominant-owner CEOs, board of directors and firm performance in emerging economies: Exploring the moderating impact of quad-qualified directors
(Springer, 2023-12)
There have recently been many calls to explore corporate governance in emerging economies, as these countries have distinctive characteristics such as a weaker institutional environment and the dominating influence of ...
Implementing artificial neural network-based gap acceptance models in the simulation model of a traffic circle in SUMO
(Sage, 2023-12)
The impact of various operational and design alternatives at roundabouts and traffic circles can be evaluated using microscopic simulation tools. Most microscopic simulation software utilizes default underlying models for ...
NFT primary sale price and secondary sale prediction via deep learning
(Association for Computing Machinery, Inc, 2023-11-27)
Non Fungible Tokens (NFTs) are blockchain-based unique digital assets defining ownership deeds. They can characterize various different objects such as collectible, art, and in-game items. In general, NFTs are encoded by ...
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