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A new oracle protocol for TLS 1.3 is introduced, which reaches new scales in selectively verifying the provenance of confidential data and enables new boundaries to verify the web provenanceof confidential documents.

Discrete memristor (DM) has been extensively used to enhance the complexity of simple chaotic maps due to its special nonlinearity. Yet, the chaotic properties inherent to DM have not been thoroughly explored. This article introduces a simple oscillatory term to the DM model and constructs four hyperchaotic maps. In these maps, the coupling of the ideal DM with the oscillatory term results in maps without fixed points, generating hidden hyperchaotic attractors. The introduction of the oscillatory term into DMs exhibits diverse dynamical behaviors, including coexisting bistable attractors, infi...

This work presents a variant of RSA blind signatures with public metadata such that issuers may only generate signatures that verify for a certain choice of public metadata, and proves the security of the protocol under one-more RSA assumptions with multiple exponents that are introduced.

Two forward and backward private DSSE schemes with conjunctive queries based on the Oblivious Cross-Tags framework are introduced and two new levels of backward privacy are presented, which describe the leakages of conjunctive queries with OXT framework more accurately.

In silicon carbide (SiC)-based adjustable speed drives, the fast-switching voltage pulses cause power cables to act like transmission lines, leading to severe overvoltage at motor terminals. This letter proposes an active <inline-formula><tex-math notation="LaTeX">$dv/dt$</tex-math></inline-formula> filter to mitigate the motor terminal overvoltage due to the reflected wave phenomenon in SiC-based motor drive systems. The active <inline-formula><tex-math notation="LaTeX">$dv/dt$</tex-math></inline-formula> filter consists of a T-type inverter and an inductor and capacitor (LC) passive filter, ...

Mastic is introduced, a protocol for the following functionality: each of a large number of clients holds an input and its corresponding weight and this functionality makes two new classes of applications possible, a natural generalization of heavy hitters and an enhancement of Prio-style metrics.

Wireless power transfer (WPT)-based voltage equalizers (VEs) are desired for flexible and secure balanced charging of unmanned aerial vehicles (UAVs). However, the existing WPT-based VEs fail to balance the cells once the onboard receiver (Rx) is away from the transmitter (Tx), and the efficiency and capacity are limited. This article proposes a reconfigurable WPT-based multiport hybrid charging approach to achieve UAV’s cell string balancing under multiple states. By converging one Tx port, one Rx bidirectional port, and two voltage-balance (Vx) driving ports, the approach enables the source-...

This article proposes a series of high-step-up interleaved dc–dc converters utilizing coupled inductors and quadratic voltage gains. The first proposed converter is a modified version of the Dickson-based converter, which offers a higher voltage gain compared to the modified Dickson converter while maintaining common ground. The second proposed converter uses an additional diode to achieve a higher voltage gain than the first proposed converter. The third proposed converter combines the Dickson and modified Dickson converters to address the lack of common ground in the modified Dickson convert...

A detailed examination of AI's role in breast cancer diagnosis through citation analysis is provided, helping to categorize the key areas that attract academic attention and includes a thematic analysis to identify the specific research topics within each category.

This article presents an adaptive Kalman filter (AKF) with double noise for active vibration isolation (AVIS) system. Due to the time-varying vibration input and unknown sensor noise, it is difficult to obtain the process noise covariance matrix and the measurement noise covariance matrix. The imprecise noise covariance matrixes may result in Kalman filter (KF) divergence to further reduce the performance of the AVIS. Consequently, to achieve the time-varying process noise covariance matrix estimate, the internal forgetting factor of maximum likelihood estimation is reconstructed. The recursio...

To define the social and ethical responsibilities of nursing and explain the implications of humane care, a model is proposed that includes ten factors of care that include the practice of kindness and equanimity, support for deep beliefs, the cultivation of spiritual practices, the development of authentic caring relationships, and the expression of feelings.

Bidirectional dc–dc converters have found wide applications in renewable energy generation systems, residential energy storage systems, and electric vehicles. The four-switch buck-boost (FSBB) converter features low voltage stress on power switches, positive output, and bidirectional power transfer. In this article, the combined pulse width modulation (PWM) and phase-shift control is adopted for the FSBB converter to realize zero-voltage-switching (ZVS) for all the power switches in both forward and reverse power transfer operation. Then, the control methods for achieving smooth reversal of po...

GeSn waveguide photodetectors (WGPDs) that function in the 2-µm band have been considered potentially competitive candidates for cryogenic silicon photonics to enable various emerging applications such as quantum sensing and quantum computing. Herein, we present a high-performance GeSn rib WGPD that can function within the 2-µm spectral range and its temperature-dependent characteristics. The proposed detectors feature a GeSn active layer with 4.9% Sn which redshifts the cutoff wavelength to cover the 2-µm band. In addition, the optical confinement factor was enhanced by growing a thick GeSn a...

Scaling a large crawling robot to the centimeter-level size is a major technical challenge, which mainly includes the research on mechanical structure design, independent battery life, maneuverability, and perception. For most miniature crawling robots, it is difficult to synchronously balance the aspects of simple structure, good maneuverability, and visual perception. Aiming at such problems, this article designs a composite-cam-driven miniature hexapod crawling robot, named NKhex, with the abilities of visual perception and target tracking. The size of the microrobot is centimeter-level, an...

The review identified several opportunities for AI in burn wound management, including enhanced diagnostic accuracy through machine learning algorithms, early detection of complications via continuous monitoring, optimized resource allocation, improved surgical outcomes with AI-assisted planning, and personalized rehabilitation programs.

Xiaofei Xu, Yijiong Zhang, Yan Liu, Yuichi Goto, Masanobu Taniguchi, and Ying Chen teach at Waseda University, Japan and the National University of Singapore.

The requirement of sufficient run-to-failure data poses a significant challenge in developing deep learning (DL)-based health prognostics for lithium-ion batteries. In practice, numerous battery prognostics datasets are owned by different institutions, and collaboratively leveraging these datasets can provide a promising solution. However, how to utilize prognostics datasets owned by different institutions under data privacy is a challenging task. In this article, a collaborative prognostics method for lithium-ion batteries is proposed, addressing data privacy through federated learning. The a...

Fast and safe charging is of great significance for the application of lithium-ion batteries. As one of the most representative optimization decision-making algorithms, reinforcement learning is widely used in fast charging control. However, current research on fast charging based on reinforcement learning uses simulation data for optimization, which deviates from the actual battery. This paper proposes a fast charging strategy to optimize charging time and safety based on reinforcement learning. The agent is trained using the data from real experiment, which includes 600 charge-discharge cycl...

The findings highlight the model’s capability to accurately gauge public sentiments toward ChatGPT in the complex landscape of lengthy and nuanced social media content, with implications for understanding public attitudes toward emerging technologies, with potential applications in various domains.

Imaging the heart magnetic field to diagnose is a cutting-edge development direction to overcome cardiovascular diseases. Since the heart's magnetic field is extremely weak, the magnetic field must be detected in a magnetic shielding device when imaging the heart magnetic field. To improve the antidisturbance ability of the magnetic shielding device, this article proposes a disturbance suppression based high-precision magnetic field compensation (MFC) method for a magnetic shielding cylinder (MSC). A set of experimental system based on a MSC is built up and experiments verify the effectiveness...