Background: Nowadays, the Internet has a tremendous impact on modern society, including healthcare practice. The study aim was to characterize current Internet use by IVF and ICSI patients and to identify their preferences regarding Internet applications in fertility care.
Methods: A total of 163 couples with fertility problems awaiting an IVF or ICSI procedure in the University Medical Centre Nijmegen, The Netherlands, was asked to complete a written questionnaire on Internet use in general, and also for fertility-related problems, preferences regarding Internet applications in fertility care and demographic characteristics.
Results: The response rate was 82%. In total, 81% of infertile couples used the Internet. Multivariate logistic regression analysis showed ethnic background and annual family income to be significant predictors of Internet use. Some 66% of Internet users and 54% of the total study population used the Internet for fertility-related problems. The female partners were the main Internet users with regard to fertility-related issues. In terms of preferences of the study participants, the majority favoured personal medical information online.
Conclusions: Most infertile couples used the Internet with respect to fertility-related problems and were interested in implementation of Internet applications in fertility care. Healthcare providers should actively participate in the development and implementation of Internet applications in fertility care.
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Sci Rep
January 2025
Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, UK.
In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The conventional approaches of Load balancing like Round-Robin and Threshold-based load balancing fails in scalability and flexibility issues when applied to highly variable edge environments. To solve the problem of how to achieve steady-state load balance and provide dynamic adaption to edge networks, this paper proposes a new framework that using PCA and MDP.
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January 2025
Department of Information Technology, Faculty of Computers and Information, Assiut University, Assiut, Assiut, 71515, Egypt.
Fifth-generation (5G) communication technologies, such as millimeter wave communication, massive multiple-input-multiple-output and non-orthogonal-multiple-access (NOMA) are playing a pivotal role in promoting the modern applications of the Internet-of-Things. Using non-orthogonal resource allocation, NOMA can increase spectrum efficiency and achieve wide connectivity with low transmission delay and signaling cost. Despite the high potential of NOMA in 5G communications, NOMA is susceptible to a pilot contamination attack (PCA), in which an attacker resents the same pilot signals as authorized users.
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January 2025
THz-Photonics Group, Technische Universität Braunschweig, Braunschweig, Germany.
New applications such as the Internet of Things, autonomous driving, Industry X.0 and many more will transmit sensitive information via fibers and over the air with envisioned data rates beyond terabits per second. Therefore, the encryption has to be simple, fast and spectrally efficient, so that the power consumption and latency are low and the scarce bandwidth is not wasted.
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January 2025
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
A key question about social media use is whether it constitutes an addiction. A possible frame of reference to investigate this question is the Incentive Sensitizations Theory (IST), as it provides a solid empirical background to understand the motivational and hedonic aspects of problematic behaviors. A central assumption of IST that addiction-related cues play a pivotal role in addictive behaviors has remained relatively understudied in the context of social media use.
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January 2025
School of Transportation, Southeast University, Nanjing, Jiangsu Province 211189, PR China; Institute on Internet of Mobility, Southeast University and University of Wisconsin-Madison, Southeast University, Nanjing, Jiangsu Province 211189, PR China.
Traffic signals, while reducing conflicts within intersections, often lead to stop-and-go behaviors in approaching vehicles, negatively impacting traffic flow in terms of safety, efficiency, and fuel consumption. Aimed at minimizing the traffic oscillations caused by traffic signals through Connected and Autonomous Vehicles (CAVs) and meeting real-time operational needs, this paper proposes a Risk-Based Adaptive Cruise Control (RACC). RACC designs the constraints of approaching a signalized intersection as expected risks, enabling compliance with all constraints while being adaptable to basic road scenarios.
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