Results 41 to 50 of about 1,719,777 (299)
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
, 2021 Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events.
Shanley, Lea A. +4 more
openaire +2 more sources
Computational philosophy of science [PDF]
arXiv, 2023 Philosophy of science attempts to describe all parts of the scientific process in a general way in order to facilitate the description, execution and improvements of this process. So far, all proposed philosophies have only covered existing processes and disciplines partially and imperfectly.
arxiv
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Grand Challenges in Computational Materials Science: From Description to Prediction at all Scales [PDF]
Frontiers in Materials, 2014 TRADITIONAL COMPUTATIONAL MATERIALS SCIENCE Materials science is historically linked to engineering driven by the need of materials with specific properties to manufacture infrastructure, machines, and devices. Therefore, there has always been a need for novel and better materials: stronger and lighter-weight, less expensive, easier to process, more ...
openaire +3 more sources
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Challenges of Computer Science and IT in Teaching-Learning in Saudi Arabia
Sukkur IBA Journal of Computing and Mathematical Sciences, 2018 Personal Computers (PCs) have invaded all ranges of civilization and there is currently a reasonable connection among technology, development and economic persistence.
Dr. Hafiz Abid Mehmood Malik +3 more
doaj +5 more sources
Diphthamide synthesis is linked to the eEF2‐client chaperone machinery
FEBS Letters, EarlyView.The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr +4 more
wiley +1 more source
Computer-Assisted Teaching in Science Education: A Bibliometric Overview
Journal of Science LearningThis study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data.
Meryem Konu Kadirhanoğulları
doaj +1 more source
Machine learning, meaning making: On reading computer science texts
Big Data & Society, 2023 Computer science tends to foreclose the reading of its texts by social science and humanities scholars – via code and scale, mathematics, black box opacities, secret or proprietary models.
Louise Amoore +3 more
doaj +1 more source
Science Education in the 21st Century [PDF]
Nature Astronomy 2018, 2, 530-533, 2018 The traditional university science curriculum was designed to train specialists in specific disciplines. However, in universities all over the world, science students are going into increasingly diverse careers and the current model does not fit their needs. Advances in technology also make certain modes of learning obsolete.
arxiv +1 more source