Results 41 to 50 of about 299,396 (174)

Identifying individual facial expressions by deconstructing a neural network [PDF]

arXiv, 2016
This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using deep neural networks. Since psychological attribute datasets typically suffer from small sample sizes, we apply transfer learning with two base models to avoid overfitting ...
arxiv  

Modern Strategies in Wound Healing: The Rise of Bacterial Cellulose Dressings

Advanced Therapeutics, EarlyView.
Bacterial cellulose (BC)‐based wound dressings combine high water retention, biocompatibility, and mechanical strength to support wound healing. This review highlights advanced functionalization strategies and fabrication techniques that enhance BC's therapeutic performance, establishing it as a promising material for next‐generation wound care ...
Elif Naz Gürsoy, Kubra Sener, M. Burcu Külahci, K. Barbaros Balabanli, Şule Coşkun Cevher   +4 more
wiley   +1 more source

Evaluating (and improving) the correspondence between deep neural networks and human representations [PDF]

arXiv, 2017
Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have reached or surpassed human accuracy on tasks such as identifying objects in natural images.
arxiv  

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

Advanced Science, EarlyView.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola   +22 more
wiley   +1 more source

From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring

Advanced Science, EarlyView.
This review focuses on recent advances in self‐powered sweat sensors in personal health monitoring, including sweat sensors, energy harvesters, energy management, and their applications. It analyzes the difficulties and challenges in the research field of self‐powered sweat sensors and looks into the future direction of self‐powered sweat sensors from ...
Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu   +3 more
wiley   +1 more source

Electrical Stimulation Therapy – Dedicated to the Perfect Plastic Repair

Advanced Science, EarlyView.
This review discusses various types of electrical stimulation sources and materials, delving into the roles and mechanisms of electrical stimulation therapy in plastic surgery for tissue repair. This work broadens the clinical perspective of electrical stimulation, covering diverse repair needs from bone to soft tissues, and provides insights into ...
Kexin Deng, Ruizeng Luo, Ying Chen, Xiaoqiang Liu, Yuanyin Xi, Muhammad Usman, Xupin Jiang, Zhou Li, Jiaping Zhang   +8 more
wiley   +1 more source

State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control

Advanced Science, EarlyView.
High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu, Yunfeng Ye, Tao Dong, Zhaochu Yang, Nuno Miguel Matos Pires, Yu Zhou, Fuyu Tao, Jin Wang, Junshan Zhang, Guoxi Luo, Libo Zhao, Qi Mao, Yangtao Wang, Zhuangde Jiang   +13 more
wiley   +1 more source

Post-hoc and manifold explanations analysis of facial expression data based on deep learning [PDF]

arXiv
The complex information processing system of humans generates a lot of objective and subjective evaluations, making the exploration of human cognitive products of great cutting-edge theoretical value. In recent years, deep learning technologies, which are inspired by biological brain mechanisms, have made significant strides in the application of ...
arxiv  

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model [PDF]

arXiv
Suicide and suicidal behaviors remain significant challenges for public policy and healthcare. In response, psychological support hotlines have been established worldwide to provide immediate help to individuals in mental crises. The effectiveness of these hotlines largely depends on accurately identifying callers' emotional states, particularly ...
arxiv