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Stingy bots can improve human welfare in experimental sharing networks.

Scientific reports
Machines powered by artificial intelligence increasingly permeate social networks with control over resources. However, machine allocation behavior might offer little benefit to human welfare over networks when it ignores the specific network mechani...

Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis.

PloS one
Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users' sentiment. Howeve...

Calibrating machine learning approaches for probability estimation: A comprehensive comparison.

Statistics in medicine
Statistical prediction models have gained popularity in applied research. One challenge is the transfer of the prediction model to a different population which may be structurally different from the model for which it has been developed. An adaptatio...

Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.

Remote teaching system for robotic surgery and its validation: results of a randomized controlled study.

Surgical endoscopy
BACKGROUND: Currently, only a limited number of remote assistance modalities are utilized in the basic phase of robotic surgery training to facilitate the rapid acquisition of robotic surgery skills by surgeons. This study aimed to investigate the be...

ChatGPT-4: An assessment of an upgraded artificial intelligence chatbot in the United States Medical Licensing Examination.

Medical teacher
PURPOSE: ChatGPT-4 is an upgraded version of an artificial intelligence chatbot. The performance of ChatGPT-4 on the United States Medical Licensing Examination (USMLE) has not been independently characterized. We aimed to assess the performance of C...

HeapMS: An Automatic Peak-Picking Pipeline for Targeted Proteomic Data Powered by 2D Heatmap Transformation and Convolutional Neural Networks.

Analytical chemistry
The process of peak picking and quality assessment for multiple reaction monitoring (MRM) data demands significant human effort, especially for signals with low abundance and high interference. Although multiple peak-picking software packages are ava...

disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data.

BMC bioinformatics
Spatial genetic variation is shaped in part by an organism's dispersal ability. We present a deep learning tool, disperseNN2, for estimating the mean per-generation dispersal distance from georeferenced polymorphism data. Our neural network performs ...

Unveiling the ChatGPT phenomenon: Evaluating the consistency and accuracy of endodontic question answers.

International endodontic journal
AIM: Chatbot Generative Pre-trained Transformer (ChatGPT) is a generative artificial intelligence (AI) software based on large language models (LLMs), designed to simulate human conversations and generate novel content based on the training data it h...

Automatic classification of microplastics and natural organic matter mixtures using a deep learning model.

Water research
Several preprocessing procedures are required for the classification of microplastics (MPs) in aquatic systems using spectroscopic analysis. Procedures such as oxidation, which are employed to remove natural organic matter (NOM) from MPs, can be time...