Gallium (Ga)-based liquid metal materials have emerged as a promising material platform for soft bioelectronics. Unfortunately, Ga has limited biostability and electrochemical performance under physiological conditions, which can hinder the implementation of its use in bioelectronic devices. Here, an effective conductive polymer deposition strategy on surface to improve Ga-based metals conditions is demonstrated. The [poly(3,4-ethylene dioxythiophene):tetrafluoroborate]-modified...

Abstract Background Basic fibroblast growth factor (bFGF) is one of the critical components accelerating angiogenesis and tissue regeneration by promoting migration dermal fibroblasts endothelial cells associated with matrix formation remodeling in wound healing process. However, clinical applications bFGF are substantially limited its unstable nature due to rapid decomposition under physiological microenvironment. Results In this study, we present bFGF-loaded human serum albumin...

Materials exhibiting excitation-wavelength-dependent photoluminescence, PL, are useful in a range of biomedical and optoelectronic applications. This paper describes nanoparticulate material whose PL is tunable across the entire visible achieved without adjusting particle size, any postsynthetic doping, or surface modification. A straightforward thermal decomposition rhenium (VII) oxide precursor yields nanoparticles that comprise Re atoms at different oxidation states. Studies time-resolved...

Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend horizon BCI applications into daily living environments at home. In this study, we developed an online based on scalp electroencephalography (EEG) appliances. The users controlled TV channels, a digital door-lock system, electric light system unshielded environment. was designed harness P300 N200 components...

In this study, we addressed a problem of imbalance in the size event-related potentials (ERPs) between target and nontarget stimulation events, which is intrinsic to odd-ball paradigm used P300-based brain-computer interfaces (BCIs). Specifically, investigated whether data augmentation could remedy improve BCI performance. We technique, borderline-Synthetic Minority Over-sampling Technique (SMOTE). focused on effects users with poor The EEG were obtained from experiments system developed for...

Brain-computer interfaces (BCIs) have a potential to revolutionize human-computer interaction by enabling direct links between the brain and computer systems. Recent studies are increasingly focusing on practical applications of BCIs—e.g., home appliance control just thoughts. One non-invasive BCIs using electroencephalography (EEG) capitalizes event-related potentials (ERPs) in response target stimuli shown promise controlling appliance. In this paper, we present comprehensive dataset...

The oddball paradigm used in P300-based brain–computer interfaces (BCIs) intrinsically poses the issue of data imbalance between target stimuli and nontarget stimuli. Data can cause overfitting problems and, consequently, poor classification performance. purpose this study is to improve BCI performance by solving problem with sampling techniques. techniques were applied 15 subjects controlling a door lock, an electric light, 14 Bluetooth speaker. We explored two categories techniques:...

Cycloaddition reactions offer great advantages regarding atom and step economy for the construction of various carbocycles heterocycles. While recent development based on sensitized visible light photocatalysis allowed synthesis azetidines via imine-alkene [2 + 2] cycloaddition, imine-alkyne cycloaddition under has not been reported. In this regard, we report pyrrolizidinones intramolecular photocatalysis. This redox-neutral reaction involves formal metathesis followed by redox-mediated...

The Android platform accounts for 85% of the global smartphone operating-system market share, and recently, it has also been installed on Internet-of-Things (IoT) devices such as wearable vehicles. These Android-based store various personal information user IDs, addresses, payment device usage data when providing convenient functions to users. Insufficient security management deletion stored in can lead cyber threats leakage identity theft. Therefore, research protection is very important....

Preprocessing of scalp electroencephalogram (EEG) signals to remove artifacts is essential the reliable operation non-invasive brain-computer interfaces (BCIs). One EEG-based BCIs leverages event-related potentials (ERPs) elicited by changes in specific external stimuli, which are sensitive artifacts. To date, numerous methods have been proposed from EEG. In this paper, we compare different artifact rejection for a BCI utilizing ERP components such as P300 and N200, including independent...

To build open-domain chatbots that are able to use diverse communicative skills, we propose a novel framework BotsTalk, where multiple agents grounded the specific target skills participate in conversation automatically annotate multi-skill dialogues. We further present Blended Skill BotsTalk (BSBT), large-scale dialogue dataset comprising 300K conversations. Through extensive experiments, demonstrate our can be effective for systems which require an understanding of skill blending as well...

Using P300-based brain-computer interfaces (BCIs) in daily life should take into account the user's emotional state because various conditions are likely to influence event-related potentials (ERPs) and consequently performance of BCIs. This study aimed at investigating whether external stimuli affect a BCI, particularly built for controlling home appliances. We presented set auditory subjects, which had been selected each subject based on individual valence scores evaluated priori, while...

Most recent major Internet services use TLS based encrypted communication. For the security of communication, a digital signature certificate between client and server to ensure that each other can be trusted. Confidentiality is maintained using symmetric key cryptography, integrity verified through message authentication. However, even if communication used, issues such as MitM may occur. In this paper, we analyzed attack method tool. The process encryption representative methods SSL Strip...

Wireless brain-computer interface (BCI) system is supposedly more desirable than wired one in real life. However, the performance of Bluetooth communication used most wireless BCI systems can be degraded by interference from ambulant environments, which would turn affect operation. We aimed to study degradation caused WiFi that widely environments. The experiment was conducted under two conditions: 1) varying distance between EEG sensor and receiver; 2) receiver transmitter. result showed a...

This study investigates the impact of conversation on performance visual event-related potential (ERP)-based brain-computer interfaces (BCIs), considering distractions in real life environment. The research aims to understand how cognitive from speaking and listening activities affect ERP-BCI performance.

손동작 인식은 이미지나 비디오 데이터로부터 인간의 동작 및 제스처를 식별하는 행동인식기술의 한 형태이다. 디지털 기술의 발전으로 제품에 스마트 기능이 추가되는 사례가 많아지면서 동작인식의 편리성과 효율성도 강조 되고 있다. 본 연구는 인식을 시도하기 위한 과정으로, 손동작을 기반으로 클래스를 나누어 각각의 분류해내는 분류 연구를 진행한다. 영상 자체로 딥러닝 분류를 하게 되면 정확도도 높으며, 이미지를 통한 분류보다 다양한 분야에서 활용이 가능하다는 장점이 제시된 알고리즘은 3D CNN(Convolutional neural network)과 LSTM(Long Short-Term Memory)이 결합된 형태로 이루어져 개발한 CNN은 비디오의 특징 추출에 주로 사용하는 2D CNN 중 ResNet-18의 구조에서 고안하였다. LSTM은 순차 데이터를 학습, 처리, 분류하는 데 사용되고 있는 RNN(Recurrent Neural Network)중의 종류이다. CNN을 통해 특징을...

We highlight two significant issues leading to the passivity of current merchant non-player characters (NPCs): pricing and communication. While immersive interactions have been a focus, negotiations between NPCs players on item prices not received sufficient attention. First, we define passive as limited ability merchants modify predefined prices. Second, communication means that can only interact with in scripted manner. To tackle these create an active NPC, propose framework based large...

To implement a practical brain–computer interface (BCI) for daily use, continuing changes in postures while performing tasks must be considered the design of BCIs. examine whether performance BCI could depend on postures, we compared online P300-based BCIs built to select TV channels when subjects took sitting, recline, supine, and right lateral recumbent during use. Subjects self-reported degrees interference, comfort, familiarity after control each posture. We found no significant...

The present study develops an artificial agent that plays the iterative chicken game based on a computational model describes human behavior in competitive social interactions terms of fairness. we adopted this study, named as self-concept fairness model, decides agent’s action according to evaluation both opponent and self. We implemented computer program with set parameters adjustable by researchers. These allow researchers determine extent which behaves aggressively or cooperatively. To...

The use of the BCI as a communication tool in real life may be different from laboratory environment. As an example this difference between two environments, posture could consideration for performance BCI. In study, six participants kept their postures sitting, standing, and walking place used P300-based stimuli were presented augmented reality (AR) devices. Comparing performed online, there was no significant three postures. Indeed, area amplitude latency P300 N200 components seem to not...

In this study, as a building energy performance evaluation value correction concept, airtightness prediction model was developed using machine learning algorithm capable of regression analysis based on data collected from literature and field measurements. R², MAE, MSE, RMSE were used to evaluate the accuracy model, RReliefF contribution elements in predicting airtightness. The random forest had highest accuracy. Among elements, wall-to-window ratio most effect performance.

The development of non-visual P300-based brain-computer interfaces (BCIs) is needed for patients with unreliable gaze control or healthy users visual distractors. As an alternative means, auditory BCIs have been developed, but reportedly showed relatively low performance. To elucidate the performance gap, this study investigated feature domain between and BCIs, along audiovisual BCI as combination two. Not only online test, also a cross-modality assessment was conducted to compare three...