Results 181 to 190 of about 249,220 (290)

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Explainable attrition risk scoring for managerial retention decisions in human resource analytics. [PDF]

Front Big Data
Pavithran MS, Vadivel SM.
europepmc   +1 more source

Machine Learning Algorithm for Predictive Analytics & Data Mining

Agrawal, Kajal C.
openalex   +1 more source

Some Frameworks for Big Data Analytics and Machine Learning [PDF]

, 2016
Alexey A. Oursatyev
openalex   +1 more source

Regionally Localized Electrolyte Engineering via UV Crosslinking for Stable Ether–Carbonate Lithium Metal Batteries

Advanced Functional Materials, EarlyView.
This work introduces a regionally localized electrolyte (RLE) that spatially separates ether‐ and carbonate‐based functions to stabilize both Li metal and high‐voltage cathodes. An immobilized ether‐rich layer directs Li+ transport, activates LiNO3 locally, and forms a uniform LiF‐rich SEI, enabling lower overpotential, uniform deposition, and long ...
Eunbin Lim, Jeanie Pearl Dizon Suba, Jaegu Cho, Sukeun Yoon, Kuk Young Cho   +4 more
wiley   +1 more source

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics. [PDF]

Sci Rep
Al-Ali M, Alwateer M, Alsaedi SA, Balaha HM, Badawy M, A Elhosseini M.   +5 more
europepmc   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Scoping Review.

J Med Internet Res
Alam MA, Sajib MRUZ, Rahman F, Ether S, Hanson M, Sayeed A, Akter E, Nusrat N, Islam TT, Raza S, Tanvir KM, Chisti MJ, Rahman QS, Hossain A, Layek MA, Zaman A, Rana J, Rahman SM, Arifeen SE, Rahman AE, Ahmed A.   +20 more
europepmc   +1 more source