The rapid development of organic electrochemical transistor (OECTs)-based circuits brings new opportunities for next-generation integrated bioelectronics. all-polymer bulk-heterojunction (BHJ) offers an attractive, inexpensive alternative to achieve efficient ambipolar OECTs, and building blocks logic constructed from them, but have not been investigated date. Here, the first BHJ-based OECTs are reported, consisting a blend p-type ladder conjugated polymer state-of-the-art n-type polymer....

Recent advancements in foundation models (FMs), such as GPT-4 and LLaMA, have attracted significant attention due to their exceptional performance zero-shot learning scenarios. Similarly, the field of visual learning, like Grounding DINO Segment Anything Model (SAM) exhibited remarkable progress open-set detection instance segmentation tasks. It is undeniable that these FMs will profoundly impact a wide range real-world tasks, ushering new paradigm shift for developing models. In this study,...

Abstract Organic electrochemical transistors (OECTs) based complementary inverters have been considered as promising candidates in electrophysiological amplification, owing to their low power consumption, and high gain. To create inverters, it is important use highly stable p‐type n‐type polymers with well‐balanced current. In this study, the stability of ladder‐conjugated polymer‐based OECT improved through an annealing process that maintains its doped‐state drain current from 76% 105%...

Abstract Organic electrochemical transistors (OECTs) are one of the promising building blocks to realize next‐generation bioelectronics. To date, however, performance and signal processing capabilities these devices remain limited by their stability speed. Herein, authors demonstrate stable fast n ‐type organic based on a side‐chain‐free ladder polymer, poly(benzimidazoanthradiisoquinolinedione). The device demonstrated normalized transient speed 0.56 ± 0.17 ms um −2 excellent long‐term in...

Abstract The development of soft and flexible devices for collection bioelectrical signals is gaining momentum wearable implantable applications. Among these devices, organic electrochemical transistors (OECTs) stand out due to their low operating voltage large signal amplification capable transducing weak biological signals. While liquid electrolytes have demonstrated efficacy in OECTs, they limit its temperature pose challenges electronic packaging potential leakage. Conversely, solid...

Abstract Increasing demand for bio-interfaced human-machine interfaces propels the development of organic neuromorphic electronics with small form factors leveraging both ionic and electronic processes. Ion-based electrochemical transistors (OECTs) showing anti-ambipolarity (OFF-ON-OFF states) reduce complexity size bio-realistic Hodgkin-Huxley(HH) spiking circuits logic circuits. However, limited stable anti-ambipolar materials prevent design integrated, tunable, multifunctional logic-based...

The emulation of tactile sensory nerves to achieve advanced functions in robotics with artificial intelligence is great interest. However, such devices remain bulky and lack reliable competence functionalize further synaptic proprioceptive feedback. Here, we report an organic afferent nerve low operating bias (−0.6 V) achieved by integrating a pressure-activated electrochemical transistor mechanoreceptors. dendritic integration function for neurorobotics perceive directional movement object,...

Parameters identification of photovoltaic (PV) models based on measured current-voltage characteristics curves is significant for the simulation, evaluation and control PV systems. To accurately reliably identify parameters different models, a novel optimization algorithm, multi-strategy success-history adaptive differential evolution with linear population size reduction (MLSHADE), proposed. MLSHADE mainly divides evolutionary process into two phases during every generation. According to...

In this paper, we present improved decoding algorithms for expander-based Tanner codes. We begin by developing a randomized linear-time algorithm that, under the condition that $ \delta d_0 > 2 $, corrects up to \alpha n errors code T(G, C_0) where G is (c, d, \alpha, \delta) $-bipartite expander with $n$ left vertices, and C_0 \subseteq \mathbb{F}_2^d linear inner minimum distance $. This result improves upon previous work of Cheng, Ouyang, Shangguan, Shen (RANDOM 2024), which required 3...

Measuring node importance in complex networks has great theoretical and practical significance for network stability robustness. A variety of centrality criteria have been presented to address this problem, but each them focuses only on certain aspects results loss information. Therefore, paper proposes a relatively comprehensive effective method evaluate using multicriteria decision‐making method. This not takes into account degree centrality, closeness betweenness also uses an entropy...

Image segmentation is foundational to computer vision applications, and the Segment Anything Model (SAM) has become a leading base model for these tasks. However, SAM falters in specialized downstream challenges, various customized models. We introduce BadSAM, backdoor attack tailored SAM, revealing that models can harbor malicious behaviors. Using CAMO dataset, we confirm BadSAM's efficacy identify vulnerabilities. This study paves way development of more secure customizable foundation

The strong non‐linear relationship between the range rate and target state can be introduced using to track a target. A linear measurement equation constructed based on geometrical velocity components. Then, Kalman filtering (KF) algorithm used. To improve performance of converted method, novel multiplicative unbiased KF with (UCMKF‐R) is developed. eliminate conversion bias, one‐step prediction estimation used replace position calculate error covariance in UCMKF‐R algorithm, which removes...

This paper addresses the energy consumption of forward error correction (FEC) protocols as used to improve quality-of-service (QoS) for wireless computing devices. The also characterizes effect on and QoS power saving mode in 802.11 local area networks (WLANs). Experiments are described which FEC-encoded audio streams multicast mobile computers across a WLAN. Results these experiments quantify tradeoffs between improved QoS, due FEC, additional caused by receiving decoding redundant packets....

The problem of maneuvering target tracking is a hot issue in the field tracking. Due to range rate measurement containing information target, it has important practical significance study how use improve effect In framework interacting multiple model algorithm, used update state estimate and probability motion performance. As equation including strongly nonlinear, square root cubature Kalman filter algorithm selected as algorithm. normal acceleration deduced from with reality constraint. And...

According to the previous achievement, task assignment under constraint of timing continuity for a cooperative air combat is studied. An extensive scenario with background proposed. The utility and time executing as well continuous ability are defined. concept matching method weapon target modified based on analysis scenario. framework also redefined according new objective function. constraints formulated method, at same time, integer programming models established. Finally, problem solved...

Recently, the Segment Anything Model (SAM) has gained significant attention as an image segmentation foundation model due to its strong performance on various downstream tasks. However, it been found that SAM does not always perform satisfactorily when faced with challenging This led users demand a customized can be adapted these In this paper, we present BadSAM, first backdoor attack model. Our preliminary experiments CAMO dataset demonstrate effectiveness of BadSAM.

With the extensive use of laser equipment and weapons systems, such as range finder guided weapons, energy each source is greatly different. So requirement higher dynamic presented in detection system. For problem insufficient Imaging Laser Detection System (ILDS), a method by image processing to extend system discussed based on existing hardware wide-angle telecentric fish-eye lens CMOS camera device. Frame subtraction technique commonly used ILDS recognize locate spot filtering out...

Automatic and accurate far-distance air attack combat situation assessment is an essential problem for decision-making support system. Through analyzing the process of combat, a set characteristic elements acquired. Mix-state Dynamic Bayesian Networks model established by setting as nodes calculation method probability deduced to solve inference Networks. The simulation results demonstrate that consistent with actual situation.