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A Novel Approach Using Serious Game Data to Predict the WISC-V Processing Speed Index in Children With Attention-Deficit/Hyperactivity Disorder: Machine Learning Study
Background: The processing speed index (PSI) of the Korean Wechsler Intelligence Scale for Children-Fifth Edition (K-WISC-V) is highly correlated with symptoms of attention-deficit/hyperactivity disorder (ADHD) and is an important indicator of cognitive function. However, restrictions on the frequency of testing prevent short-term PSI assessments. An accessible, objective technique for predicting PSI scores would enable better short-term monitoring and intervention for children with ADHD. Object
2025-10
The cardiac pacemakers: A paradigm of robustness in evolutionary biology
The cardiac pacemaker activity is formed from multiple interlocking physiological networks, any one of which can generate rhythm. The interlocking is reciprocal so that they automatically replace each other. In such interlocking control systems, the association scores for individual components are necessarily low, even though causation, measured by the electric current carried by the relevant ion channels, is large. This kind of reciprocally based robustness is widespread in living organisms, wh
2026-07
Analysis of Total Ionizing Dose Effect on a Linear RF Power Amplifier
After accidents at nuclear power plants (NPPs), ensuring safety and reliability has become critically important. Monitoring NPPs is essential to detect and prevent accidents early. Wireless sensor networks (WSNs) are best suited for monitoring, but need to be robust against radiation to work effectively in harsh conditions. An important building block of a WSN node is the radio frequency (RF) power amplifier (PA), which should be able to provide the power to transmit the data even in the event o
2026-10
Tailoring the electronic properties of g-C3N4 via D-π-A framework for metal-free photocatalytic CO2 conversion and H2 evolution
Tuning the optical and electronic properties of graphitic carbon nitride (g-C3N4) is an effective strategy for improving solar-light utilization and charge carrier dynamics. Herein, sulfur self-doping was employed to systematically modulate the optoelectronic characteristics of g-C3N4 yielding sulfur-doped carbon nitride (SCN) using thiosemicarbazide as a sulfur source. Subsequently, 2,6-diaminopyridine (DAP) was molecularly incorporated into SCN to construct a donor-it-acceptor (D- it- A) type
2026-10
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Edge-Server Workload Characterization in Vehicular Computation Offloading: Semantics and Empirical Analysis
Edge server-assisted computation offloading enables vehicles to leverage server compute resources to deliver connected services, overcoming the limitations of onboard resources. Understanding the compute workloads of edge servers is crucial for effective resource management and scheduling, yet this task is challenging due to the complex interplay of factors such as vehicle mobility and computation offloading patterns. To address this, we propose an empirical analysis framework that systematicall
2024-06
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Recent Advances in Ultra-High-Speed Wireline Receivers with ADC-DSP-Based Equalizers
High-speed wireline data transceivers (TRX) with analog-to-digital converter (ADC) followed by digital signal processor (DSP) on the receiver (RX) equalizer became popular for applications requiring >100 Gb/s per-lane data rate over long-reach (LR) channels, especially for datacenter applications. With the digital-to-analog converter (DAC)-based transmitter (TX) including DSP-based TX signal processing, the overall structure of DAC/ADC-DSP-based wireline TRXs became similar to modulator/demodula
2024-11
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Empirical Analysis of MAVLink Protocol Vulnerability for Attacking Unmanned Aerial Vehicles
Recently, unmanned aerial vehicles (UAVs), or the so-called drones, have been used in various applications. In particular, UAVs are used for rescue systems, disaster detection, and military purposes, as well as for leisure and commercial purposes. UAVs that are controlled over networks by ground control stations (GCS) can provide various services with expanded activity area. It is thus of critical importance to investigate the vulnerability of the drone system. In this paper, we focus on UAVs co
2018-08
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Low-Cost and Easy-to-Build Soft Robotic Skin for Safe and Contact-Rich Human - Robot Collaboration
Although many soft robotic skins have been introduced, their use has been hindered due to practical limitations, such as difficulties in manufacturing, poor accessibility, and cost inefficiency. To solve this, we present a low-cost, easy-to-build soft robotic skin utilizing air-pressure sensors and 3D-printed pads. In our approach, we utilized digital fabrication and robot operating system (ROS) to facilitate the creation and use of the robotic skin. The skin pad was fabricated by printing therm
2024-03
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