Abstract Objective Accurate identification of self-harm presentations to Emergency Departments (ED) can lead more timely mental health support, aid in understanding the burden suicidal intent a population, and support impact evaluation public initiatives related suicide prevention. Given lack manual reporting ED, we aim develop an automated system for detection directly from ED triage notes. Materials methods We frame this as supervised classification using natural language processing (NLP),...

With the increasing attention paid to user-oriented design and services, term co-design, a form of user-participatory design, is increasingly mentioned. Previous studies have shown that co-design could better satisfy user needs in process results, but there are few been empirically validated through neuroscience methods. Therefore, this study used fNIRS (functional near-infrared spectroscopy) measure brain blood oxygen data (HbO2 & Hb) both “designer” “user” participants from non-design...

BACKGROUND Transcatheter arterial chemoembolization (TACE) is a key treatment approach for advanced invasive liver cancer (infiltrative hepatocellular carcinoma). However, its therapeutic response can be difficult to evaluate accurately using conventional two-dimensional imaging criteria due the tumor’s diffuse and multifocal growth pattern. Volumetric imaging, especially enhanced tumor volume (ETV), offers more comprehensive assessment. Nonetheless, bias field inhomogeneity in magnetic...

Background: In recent years, computational aesthetics and neuroaesthetics have provided novel insights into understanding beauty. Building upon the findings of traditional aesthetics, this study aims to combine these two research methods explore an interdisciplinary approach studying aesthetics; Method: Abstract artworks were used as experimental materials. Based on in combination, features composition, tone, texture selected. Computational aesthetic then employed correspond physical...

In this paper, a low distortion reversible database watermarking method based on histogram gap is proposed in view of the large integer data. By using method, tolerance attribute column containing all data firstly calculated and prediction error obtained according to tolerance. Then watermark bits be embedded, tuples will randomly grouped can constructed by error. Finally, correction rule used find peak bin, number consecutive non-zero errors left right sides obtained, shift performed side...

Due to the discreteness of integer data, there are a large number gaps and continuous columns in histogram based on data. Aiming at characteristics, this paper presents robust reversible watermarking algorithm for relational database histogram. Firstly, it groups tuples according watermark length grouping key. Secondly, calculates prediction errors uses absolute values construct Thirdly, traverses find all turn, computes sum height each column selects group that has largest as positions...

In relational databases, embedding watermarks in integer data using traditional histogram shifting method has the problem of large distortion. To solve this problem, a reversible database watermarking without redundant distortion is proposed, taking advantage number gaps histogram. This embeds watermark bit by on basis grouping. First, an constructed with absolute value prediction error as variable. Second, positional relationship between each column and gap analyzed to find out all columns...

Background: In recent years, computational aesthetics and neuroaesthetics have provided novel insights into understanding beauty. Building upon the findings of traditional aesthetics, this study aims to combine these two research methods explore an interdisciplinary approach studying aesthetics. Method: Abstract artworks were used as experimental materials. Based on in combination, features composition, tone, texture selected. Computational aesthetic then employed correspond physical...

Zero-watermarking is one of the solutions for image copyright protection without tampering with images, and thus it suitable medical which commonly do not allow any distortion. Moment-based zero-watermarking robust against both processing geometric attacks, but discrimination watermarks often ignored by researchers, resulting in high possibility that host images fake cannot be distinguished verifier. To this end, paper proposes a PCET- (polar complex exponential transform-) based scheme on...

Based on Statistical Learning Theory (SLT), Support Vector Machine (SVM), which is a new kind of machine learning method that used for classification and regression. SVM considered as two layers since it maps the original space into high dimensional feature space, i.e., input layer layer. If problem's problem also solved by SVM, can be SVMs named Multi-Layer (MLSVM). MLSVM composed at least one In this paper, m-th order ordinary differential equations are Experimental results indicate...

In order to counterbalance the unfairness rare class on using Support Vector Machine credit assess for imbalanced dataset from commercial banks, an adjustment Method of separating hyperplane is proposed in paper. Based Fisher discrimination, projected mean and variance are got by projecting two classes samples onto normal vector hyperplane, then adjust threshold according principle that error probability equal. The algorithm can compensate ill-effect tendency improves accuracy. Simulations...

The present situation of rural distribution network fault location is analyzed. characteristics calling information were discussed. On this basis the algorithms theory based on rough set was proposed. decision table in accordance with topology main tool algorithm, using ability processing uncertainty and incomplete set, performing attribute reduction value reduction. minimum form derived to ensure objectivity rules. Because good tolerance, it able achieve rapid accurate locate callings...

It proposed a positioning algorithm, which is based on secondary of the shoe print image. After pre-process was imposed image, image rotated by algorithm vertex angle deflection according to feature. Then, equidistant vertical line as second position Finally, in perpendicular position. The experiment shows that, under various kinds inclined angles, this paper effective. lays good foundation for recognition criminal investigation.

Based on the residual network and long short-term memory (LSTM) network, this paper proposes a human walking gait recognition method, which relies vector image of features dynamic lower limb model with multiple degrees-of-freedom (DOFs). Firstly, pose estimation algorithm was designed based deep convolutional neural (DCNN), used to obtain features. Then, movements limbs were described by simplified model, eigenvectors obtained Lagrange revealing mapping relationship between in fitting. To...

Objective: This study aims to classify the learning motivation of medical students using latent profile analysis and explore relationship between engagement within different types psychological well-being. Methods: A total 635 from a university in Guangxi were selected for this study. The Motivated Strategies Learning Questionnaire, Utrecht Work Engagement Scale-Student, Psychological Well-being Scale used collect data. Latent was employed into motivation. Regression conducted examine...

The relationship among social support, basic psychological need and study engagement of English majors in medical schools is significant but insufficiently studied. aim this to provide a reference for nurturing higher-quality talents schools. Methodology: A questionnaire survey was conducted on school China's Guangxi province by using the academic input scales. Results: results show that support not only directly positively influences majors' engagement, also further stimulates through...

Background: Symmetry is a special kind of balance. This study aims to systematically explore and apply the role balanced composition in aesthetic judgments by focusing on features employing research methods from computational aesthetics neuroaesthetics. Methods: First, experimental materials were classified quantifying using several indices, including symmetry, center gravity, negative space. An EEG experiment was conducted with 18 participants, who asked respond dichotomously same stimuli...

In this work, we study to release the potential of massive heterogeneous weak computing power collaboratively train large-scale models on dispersed datasets. order improve both efficiency and accuracy in resource-adaptive collaborative learning, take first step consider \textit{unstructured pruning}, \textit{varying submodel architectures}, \textit{knowledge loss}, \textit{straggler} challenges simultaneously. We propose a novel semi-asynchronous training framework, namely...

Abstract This paper proposes a innovative notification method leverages hair-based tactile cues, HairTouch. study explored the intensity and diversity of this sense, HairTouch provided subtle effective reminders in hands-free eyeless interaction scenarios, comparing to vibration electrical stimulation. The focused on five body locations: forehead, ear contours, cheeks, side neck, back neck. experiments were conducted subsequently explore design space aim experiment was determine suitable...