Results 81 to 90 of about 10,164 (248)

Malaria: Massive open online courses MOOC

Travel Medicine and Infectious Disease, 2016
no ...
Chabriere, Eric, Parola, Philippe
openaire   +2 more sources

Hypomethylation of GNA15 Promotes Pancreatic Ductal Adenocarcinoma Progression and Macrophage M2 Polarization via STAT3‐CXCL8 Axis

Advanced Science, EarlyView.
A schematic model summarizing GNA15's mechanism in mediating macrophage M2 polarization and Gemcitabine resistance. ABSTRACT The complexity of pancreatic ductal adenocarcinoma (PDAC) progression, coupled with the lack of effective immunotherapy, underscores the imperative to deepen our understanding of its mechanisms and identify suitable immune ...
Weihui Guo, Zhenyuan Qian, Lei Wang, Weilang Xu, Yuxin Weng, Kai Jiang, Zaiyuan Ye, Ji Xu, Guangyuan Song   +8 more
wiley   +1 more source

Evaluation of two Massive Open Online Courses (MOOCs) in genomic variant interpretation for the NHS workforce. [PDF]

BMC Med Educ, 2023
Coad B, Joekes K, Rudnicka A, Frost A, Openshaw MR, Tatton-Brown K, Snape K.   +6 more
europepmc   +1 more source

Solution‐Shearing of Highly Smooth Ion‐Gel Thin Films: Facilitating the Deposition of Organic Semiconductors for Ion‐Gated Organic Field Effect Transistors

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade, Angelika Wrzesińska‐Lashkova, Anupam Prasoon, Felix Talnack, Katherina Haase, Bernd Büchner, Xinliang Feng, Yana Vaynzof, Mike Hambsch, Yulia Krupskaya, Stefan C. B. Mannsfeld   +10 more
wiley   +1 more source

Negative link prediction to reduce dropout in Massive Open Online Courses. [PDF]

Educ Inf Technol (Dordr), 2023
Khoushehgir F, Sulaimany S.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Interactive communication competence and lecturer readiness for facilitating MOOCs: a mixed-methods study

Frontiers in Education
IntroductionMassive Open Online Courses have expanded access to higher education, yet persistent challenges related to learner engagement and interaction continue to limit their educational effectiveness.
Sri Sediyaningsih, Uwes Anis Chaeruman, Kasiyah Junus, Dina Fitria Murad, Luluk Asmawati   +4 more
doaj   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Professional Learning in Massive Open Online Courses [PDF]

, 2014
This study explores the role of Massive Open Online Courses (MOOCs) in supporting and enabling professional learning, or learning for work. The research examines how professionals self-regulate their learning in MOOCs. The study is informed by contemporary theories of professional learning, that argue that conventional forms of learning are no longer ...
Milligan, Colin, Littlejohn, Allison, Ukadike, Obiageli   +2 more
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source