Results 191 to 200 of about 943,967 (246)

Wood‐Based Bioelectronics: Lignosulfonate‐Based Conductive Biocomposites for Paper Organic Electrochemical Transistors

Advanced Electronic Materials, EarlyView.
Biodegradable wood‐based bioelectronics are realized by integrating poly (2,3‐ethylenedioxythiopene:lignosulfonate (PEDOT:LigS) as a mixed ionicelectronic channel in organic electrochemical transistors fabricated on paper substrates. The biocomposite exhibits high conductivity, biocompatibility, and strong transistor performance, while devices built on
Katharina Matura, Tobias Grabner, Sarka Hradilova, Munise Cobet, Ariana Opletalova, Katerina Polakova, Alessandra Operamolla, Niyazi Serdar Sariciftci, Serpil Tekoglu   +8 more
wiley   +1 more source

Social decision-making of Japanese male spouses following their wives' breast cancer diagnosis: A quantitative content analysis. [PDF]

Support Care Cancer
Yamauchi K, Nakashima M, Nakao M.
europepmc   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Counting the Cost: Anticipated Financial Burden and Post-Traumatic Stress Symptoms in Patients Newly Diagnosed with Leukemia and Lymphoma. [PDF]

Mediterr J Hematol Infect Dis
Guolo F, Del Sette P, Riccardi F, Minetto P, Todiere A, Ballerini F, Riva C, Cea M, Lemoli RM, Sarcletti E.   +9 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

The Educational Revolution and Financial Diagnosis in Universities

Annual Report of Society of Business Diagnosis (Japan), 1999
openaire   +1 more source

Disparities in imaging and management of multiple sclerosis: a review. [PDF]

Br J Radiol
Tran A, Grant GF, Akande OP, Sadigh G.
europepmc   +1 more source