EEG signals have been reported to be informative and reliable for emotion recognition in recent years. However, the inter-subject variability of emotion-related still poses a great challenge practical applications EEG-based recognition. Inspired by neuroscience studies on correlation, we proposed Contrastive Learning method Inter-Subject Alignment (CLISA) tackle cross-subject problem. learning was employed minimize differences maximizing similarity signal representations across subjects when...

Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In present study, we explored EEG correlates of ten different emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group 20 participants were invited to watch 30 short film clips their EEGs simultaneously recorded. Distinct topographical patterns for found correlation coefficients between subjective ratings per clip...

The behavioral differentiation of positive emotions has recently been studied in terms their discrete adaptive functions or appraising profiles. Some preliminary neurophysiological evidences have found with electroencephalography autonomic nervous system measurements such as heart rate, skin conductance, etc. However, the brain's hemodynamic responses to different remain largely unknown. In present study, functional near-infrared spectroscopy (fNIRS) technique was employed. With this tool,...

Abstract BACKGROUND Photosynthetic pigments perform critical physiological functions in tea plants. Their content is an essential indicator of photosynthetic efficiency and nutritional status. The present study aimed to predict chlorophyll a (Chl a), b b), total (total Chl), carotenoid (Car) leaves under different levels nitrogen treatment using hyperspectral imaging (HSI) combination with variable selection algorithms. RESULTS A 150 samples were collected scanned the HSI system. mean...

The emerging field of affective computing focuses on enhancing computers’ ability to understand and appropriately respond people’s states in human-computer interactions, has revealed significant potential for a wide spectrum applications. Recently, the electroencephalography (EEG) based gained increasing interest its good balance between mechanistic exploration real-world practical application. present work reviewed ten theoretical operational challenges existing researches from an...

How to efficiently tag the emotional experience of multimedia contents is an important and challenging problem in field affective computing. This paper presents EEG-based real-time emotion tagging approach, by extracting inter-brain features from a group participants when they watch same video clips. First, continuous subjective reports on both arousal valence dimensions were obtained employing three-round behavioral rating paradigm. Second, systematically explored spectral temporal domain....

Our daily emotional experience is a complex construct that usually involves multiple emotions blended in context-dependent manner. However, the co-occurring and nature of human was understated previous studies when addressing individual difference experiences. The present study proposed situated 'profile' perspective to characterize individualized Eighty participants watched series videos with their EEG recorded, differences emotion profiles were measured as vector distances between...

Affective computing based on electroencephalogram (EEG) has gained increasing attention for its objectivity in measuring emotional states. While positive emotions play a crucial role various real-world applications, such as human-computer interactions, the state-of-the-art EEG datasets have primarily focused negative emotions, with less consideration given to emotions. Meanwhile, these usually relatively small sample size, limiting exploration of important issue cross-subject affective...

ABSTRACT BACKGROUND Non‐volatile compounds play a key role in the quality and price of Keemun black tea (KBT). The non‐volatile KBT samples from different producing areas normally vary greatly. development rapid methods for tracing geographical origin is useful. In this study, we develop models discrimination KBT's based on compounds. RESULTS Seventy‐two were collected five towns Anhui province to determine 13 by high‐performance liquid chromatography (HPLC). Analysis variance showed that...

The popularity of wearable physiological recording devices has opened up new possibilities for the assessment personality traits in everyday life. Compared with traditional questionnaires or laboratory assessments, device-based measurements can collect rich data about individual activities real-life situations without interfering normal life, enabling a more comprehensive description differences. present study aimed to explore individuals' Big-Five by signals daily life situations. A...

Abstract During the jointing stage, frost resistance of young ears (FRYE) was tested each day for main stem, and also first, second third tillers wheat cultivars Jinmai 47 Jing 411. At same time, developmental progression (DPYE) four shoots recorded day. In both cultivars, FRYE decreased as development advanced through stage. dropped off particularly sharply at point when anther connective tissue formation phase (ACFP) started. Shoots developing later, though with lower levels soluble sugar,...

Abstract BACKGROUND Nitrogen (N) fertilizer plays an important role in tea plantation management, with significant impacts on the photosynthetic capacity, productivity and nutrition status of plants. The present study aimed to establish a method for discrimination N levels using hyperspectral imaging technique. RESULTS Spectral data were extracted from region interest, followed by first derivative reduce background noise. Five optimal wavelengths selected principal component analysis....

Despite the popularity of multiplayer online battle arena (MOBA) games, academic research on MOBA is still very limited. The current study aimed to fill this gap by exploring behavioral and neural correlates expertise for most popular game, League Legends (LOL). Three groups LOL players with different levels were recruited, including professional players, background-matched trainees, age-matched students no systematic trainings. A series tests questionnaires was used evaluate their general...

Abstract To better understand the psychological and physiological basis of human emotion, increasing interest has been drawn towards ambulatory recordings emotion-related data beyond laboratories. By employing smartphones-based assessment wrist-worn recording devices, Daily Ambulatory Psychological Physiological for Emotion Research (DAPPER) dataset provides momentary self-reports people’s emotional experiences in their daily life. The consists from 142 participants 88 them over five days....

In this paper, we study necessary and sufficient conditions for a positive Borel measure $\mu$ on the complex space $\mathbb{C}$ to be $(\infty,q)$ or $(p,\infty)$ (vanishing) Fock-Carleson through its Berezin transform. Then discuss boundedness compactness of Toeplitz operator $T_{\mu}$ with as symbol Fock $F_{\alpha}^{\infty}$. Furthermore, charaterize these properties T_{\varphi}$ $\varphi$ which is in $BMO$.

Early detection of periocular aging is a common concern in cosmetic surgery. Traditional diagnostic and treatment methods often require hospital visits consultations with plastic surgeons, which are costly time-consuming. This study aims to develop evaluate an AI-based decision-making system for surgery, utilizing Hierarchical Attention Transformer (HATrans) model designed multi-label classification conditions, allowing home-based early identification. cross-sectional was conducted at the...

The influence of frost stress during the jointing stage in winter wheat was examined for original tillers (OT), regenerated (RT) and yield components cultivars Yumai 18, Zhoumai 18 Yanzhan 4110. Ear number per plant, kernel ear, 1000-kernel weight plant were recorded under a range subfreezing temperatures (−1, −3, −5, −7 −9°C). results modelled by linear quadratic regression. In model, ear three all significant (P < 0.001) their fitted curves showed concave-downward parabolic trend as...

Investigating the electroencephalography (EEG) correlates of human emotional experiences has attracted increasing interest in field affective computing. Substantial progress been made during past decades, mainly by using EEG features extracted from localized brain activities. The present study explored a network-based feature defined microstates for possible representation experiences. A publicly available and widely used benchmarking dataset called DEAP was used, which 32 participants...

Accurate evaluation for user experience during computer game playing is very important in optimizing design to improve the gaming experience. When evaluating experiences, concept of cognitive load crucial dynamically responding players' mental status. In our former studies, photoplethysmogram (PPG)-based Stress-Induced Vascular Response Index (sVRI) shows better sensitivity and reliability measuring loads compared with heart-rate variation, blood pressure, galvanic skin response. this study,...

The assessment of personality is crucial not only for scientific inquiries but also real-world applications such as personnel selection. In this article, we propose and validate a novel implicit measure to predict an individual's levels in the Big Five traits from 5 minutes electroencephalography (EEG) recordings. Participants viewed Chinese words with positive, negative, neutral emotions. multi-channel event-related potentials elicited by these emotional were used train sparse regression...