Results 161 to 170 of about 6,903 (249)

Electrically Tuning Electromagnetic Wave Shielding in Phase Engineered 1T/2H‐MoS2‐Based Devices

Advanced Electronic Materials, EarlyView.
Sub‐millimeter‐thick phase‐engineered 1T/2H‐MoS2 structures enable electrically tunable electromagnetic interference shielding through active modulation of microwave absorption and reflection. The coexistence of metallic and semiconducting phases, combined with a PVA/KOH gel electrolyte, provides dynamic control over charge transport and interfacial ...
Mustafa Akyol, Atalay Bozdogan, Hakan Eroglu, Muharrem Karaaslan   +3 more
wiley   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Empowering Young Physicians' Contributions in Japan. [PDF]

JMA J
Saeki S.
europepmc   +1 more source

Redefining the Role of Splenectomy in Scirrhous Gastric Cancer: Toward a Selective Multimodal Strategy

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Scirrhous gastric cancer, characterized by diffuse infiltration and a high propensity for peritoneal dissemination, remains one of the most aggressive subtypes of gastric cancer. Despite a relatively high incidence of splenic hilar lymph node (No. 10) metastasis, the oncologic benefit of splenectomy remains controversial, while its association
Tsutomu Hayashi, Takaki Yoshikawa
wiley   +1 more source

Microbiome-derived metabolites as novel placental functional markers: predictive role in vasa previa. [PDF]

Ann Med Surg (Lond)
Panhwar H, Panhwar DM, Mudasir M, Mahato AK.   +3 more
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

A comment on: 'Impact of off-center diagonal profile depth pairing on gamma pass rates in portal dosimetry'. [PDF]

J Radiat Res
Sah SS, Kumbhalwar A.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

An AI-driven tools assessment framework for english teachers using the Fuzzy Delphi algorithm and deep learning. [PDF]

Sci Rep
Yu M.
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source