Urinary Incontinence

Fuzzy ensemble of fined tuned BERT models for domain-specific sentiment analysis of software engineering dataset.

Software engineers post their opinions about various topics on social media that can be collectively mined using Sentiment Analysis. Analyzing this opinion is useful because it can provide insight into developers' feedback about various tools and topics. General-purpose sentiment analysis tools do not work well in the software domain because most of these tools are trained on movies and review dat...

Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders.

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders and non-responders of a given treatment) when using clinical routine data such as demographic and questionnaire data, while neuroimaging data achieve...

The Evaluation of Generative AI Should Include Repetition to Assess Stability.

The increasing interest in the potential applications of generative artificial intelligence (AI) models like ChatGPT in health care has prompted numer...

The consequences of generative AI for online knowledge communities.

Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and...

Artificial intelligence in multiple sclerosis management: Challenges in a new era.

Multiple sclerosis poses diagnostic and therapeutic challenges for healthcare professionals, with a high risk of misdiagnosis and difficulties in asse...

Human and AI collaboration in the higher education environment: opportunities and concerns.

In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psyc...

Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.

Suction is a highly evolved biological adhesion strategy for soft-body organisms to achieve strong grasping on various objects. Biological suckers can...

Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI.

Integrative experiment design is a needed improvement over ad hoc experiments, but the specific proposed method has limitations. We urge a further bre...

Choosing human over AI doctors? How comparative trust associations and knowledge relate to risk and benefit perceptions of AI in healthcare.

The development of artificial intelligence (AI) in healthcare is accelerating rapidly. Beyond the urge for technological optimization, public percepti...

Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information.

Recently, the interest in AI-guided ChatGPT has increased day-to-day, and different applications have been explored, including the medical field. The ...

Impact of Obstructive Sleep Apnea Syndrome on Time to Complete Recovery of Continence After Robot-Assisted Radical Prostatectomy: A Propensity Score Matching Analysis.

Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a bothersome side effect, which may permanently affec...

Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter Overflow Prevention in Secure Memories.

Advancements in convolutional neural network (CNN) have resulted in remarkable success in various computing fields. However, the need to protect data ...

Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.

Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentralized flood monitoring system is proposed to provi...

[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Skewed information about medicines in social media influence the healthcare-patient contact. Healthcare staff need situation adapted evidence that can...

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This rec...

Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations.

We assess whether deep convolutional networks (DCN) can account for a most fundamental property of human vision: detection/discrimination of elementar...

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

In view of the employment difficulties of college graduates, this paper analyzes the overflow of graduates in a particular period caused by the expans...

Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.

Smart cities development is an ambitious project launched in India in 2015 with around 14 billion USD. Smart city mission program primarily aimed at r...

A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications.

BACKGROUND AND OBJECTIVES: The COVID-19 pandemic manifested the need of developing robust digital platforms for facilitating healthcare services such ...

Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas.

The content of fat, oil and grease (FOG) in the sewer network sediments is the key indicator for diagnosing sewer blockage and overflow. However, the ...