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Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by ...
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Asianet Newsable on MSNPhD Research Methodology Guide: Choosing the Right Approach for Your DissertationLearn how to select the best research methodology for your PhD, including qualitative, quantitative, and mixed methods.
Generative artificial intelligence (AI) is a potentially important new technology, but its impact on the economy depends on the speed and intensity of adoption. This paper reports results from a ...
Although RCTs are recommended as the optimal design for high-quality systematic reviews to reduce bias and examine causality, no RCTs were identified in searches.67 Future research should use ...
A continuous flow process for the preparation of betahistine with a 90% isolated yield has been reported. 2-Vinylpyridine and saturated methylamine hydrochloride aqueous solution were used as starting ...
This paper proposed an Actor-oriented modeling and designing methodology for complex real time embedded system. Embedded system can be divided into multiple single computing model subsystems according ...
A research team from Chongqing University and Zhejiang University has developed an AI tool that created 7,245 new proteins—entirely through computer design. These proteins are made to latch onto ...
As a powerful method of evaluating and selecting targeted amino acid sequences on a colossal scale, computational protein design (CPD) has become a major component of biological research. Using atomic ...
Previously, the NIH, the world’s largest public funder of biomedical research, allowed journals to restrict access to papers for an embargo period of up to 12 months before making them publicly ...
Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, ...
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our ...
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