Results 151 to 160 of about 172,963 (284)

Pushing Biomolecule Detection Limit With Graphene Field‐effect Transistor Biosensors

Advanced Electronic Materials, EarlyView.
Graphene knows your health! This work presents a comprehensive overview of recent advances in graphene field‐effect transistor (GFET) biosensors for ultrasensitive biomolecule detection. How device engineering, high‐mobility graphene synthesis, and tailored surface chemistry push detection limits is highlighted, while discussing emerging strategies ...
Co Dang Pham, Quang Thang Trinh, Jun Zhang, Nam‐Trung Nguyen, Tuan‐Khoa Nguyen   +4 more
wiley   +1 more source

Dyslexia Data Consortium: A Comprehensive Platform for Neuroimaging Data Sharing, Analysis, and Advanced Research in Dyslexia. [PDF]

Neuroinformatics
Phatangare RV, Eckert MA, Luo L, Vaden KI, Wang JZ, Dyslexia Data Consortium .   +5 more
europepmc   +1 more source

Life‐Cycle Assessment of Printed Electronic Components ‐ Case Study for Organic Electrochemical Transistors

Advanced Electronic Materials, EarlyView.
This tutorial introduces a practical framework for implementing early‐stage Life‐Cycle Assessment (LCA) in flexible and printed electronics. Using organic electrochemical transistors (OECTs) as a case study, the modular Process‐of‐Record and open‐access inventory provides a rich resource adaptable to a plethora of technologies in printed electronics ...
Laura Teuerle, Tommy Meier, Klara Hänisch, Finn Jaekel, Yeohoon Yoon, Andreas Wendel, Hans Kleemann   +6 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Predicting and improving diagnosis of tuberculosis outcomes in South Africa using machine learning techniques. [PDF]

PLOS Glob Public Health
Asori M, Mpuure DM, Katey D, Gyasi RM.
europepmc   +1 more source

Nationwide Survey of the Surgical Treatment for Hiatal Hernia in Japan

Annals of Gastroenterological Surgery, EarlyView.
This nationwide study of 960 hiatal hernia surgeries in Japan found that patients with Type I hernia had distinct characteristics and more favorable surgical outcomes compared to Types II–IV. Postoperative dysphagia was significantly associated with Types II–IV, preoperative dysphagia, and esophageal strictures, highlighting the need for careful ...
Soji Ozawa, Nobuo Omura, Kazuo Koyanagi, Junya Oguma, Akihito Kazuno, Yuko Kitagawa, Yoshihiro Kakeji, Yasushi Toh, Hisahiro Matsubara   +8 more
wiley   +1 more source

JINet: easy and secure private data analysis for everyone. [PDF]

BMC Bioinformatics
Lalli G, Collier J, Moreau Y, Raimondi D.   +3 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Implementing a "resect and discard" strategy using a characterization mobile app: toward a more sustainable endoscopy practice. [PDF]

Endoscopy
Costaouec N, Lafeuille P, Chuquimia O, Chatain M, Nurcelli V, De Cristofaro E, Pioche M.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source