Information about Cathinone including basics, effects, dosage, history, legal status, photos, research, media coverage, and links to other resources.

Rutgers scientists discover way to reduce animal feed and food production costs by increasing a key nutrient in corn.

Frequently Asked Questions about methcathinone.

Information about Ethylcathinone including basics, effects, dosage, history, legal status, photos, research, media coverage, and links to other resources.

Information about Khat (Catha edulis) including basics, effects, dosage, history, legal status, photos, research, media coverage, and links to other resources.

Information about Caffeine including basics, effects, dosage, history, legal status, photos, research, media coverage, and links to other resources.

Charting the Relatively Unknown: A Study of Four Cathinones, by Fridjof Waleenstedt with Knut Bbjornstrand.

an alkaloid discovered twenty years ago in the leaves of the khat bush

10 Tactics to prevent AI from taking over. Master strategies to protect your unique role and secure your future against AI's encroachment.

Thousands of users worldwide took to X after a technical glitch in Snapchat's AI chatbot which horrified them.

npj Precision Oncology - Patient-level proteomic network prediction by explainable artificial intelligence

Background: Accurate neonatal pain assessment (NPA) is the key to neonatal pain management, yet it is a challenging task for medical staff. This study aimed to analyze the clinical practicability of the artificial intelligence based NPA (AI-NPA) tool ...

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using...

OECD's dissemination platform for all published content - books, podcasts, serials and statistics

Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, ...

The advent of deep neural networks as a new artificial intelligence (AI) technique has engendered a large number of medical applications, particularly in medical imaging. Such applications of AI must remain grounded in the fundamental tenets of science and scientific publication (1). Scientific results must be reproducible, and a scientific publication must describe the authors’ work in sufficient detail to enable readers to determine the rigor, quality, and generalizability of the work, and potentially to reproduce the work’s results. A number of valuable manuscript checklists have come into widespread use, including the Standards for Reporting of Diagnostic Accuracy Studies (STARD) (2–5), Strengthening the Reporting of Observational studies in Epidemiology (STROBE) (6), and Consolidated Standards of Reporting Trials (CONSORT) (7,8). A radiomics quality score has been proposed to assess the quality of radiomics studies (9).

Encompassing multidisciplinary interactions in industry, medicine and art fields research, this open access, peer reviewed journal publishes high quality ...

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using...

Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields. Meta-optics are advanced flat optics with novel functions and light-manipulation abilities. The optical properties can be engineered with a unique design to meet various optical demands. This review offers comprehensive coverage of meta-optics and artificial intelligence in synergy. After providing an overview of AI and meta-optics, we categorize and discuss the recent developments integrated by these two topics, namely AI for meta-optics and meta-optics for AI. The former describes how to apply AI to the research of meta-optics for design, simulation, optical information analysis, and application. The latter reports the development of the optical Al system and computation via meta-optics. This review will also provide an in-depth discussion of the challenges of this interdisciplinary field and indicate future directions. We expect that this review will inspire researchers in these fields and benefit the next generation of intelligent optical device design.