Results 231 to 240 of about 49,489 (296)

Evaluating the impact of tooth carving training on the knowledge, attitude, and practice of general dental practitioners in clinical practice. [PDF]

J Educ Health Promot
Doddawad VG, Poornima KP, Jain S, Shivananda S, Sanjay CJ, Sulochanadevi BC.   +5 more
europepmc   +1 more source

Small Stokes Shift Induced Highly Efficient and Thermally Stable Broadband Near‐Infrared Antimonite Double Perovskite Emitters for Spectroscopy Applications

Advanced Science, EarlyView.
Highly efficient and thermally stable NIR photonic materials with emission over 830 nm are designed. A cation site substitution strategy is proposed to regulate the Stokes shift of the NIR emitters. The phosphors exhibit a full visible‐spectrum conversion ability from 400 to 800 nm, showing great promise for NIR spectroscopy applications in solar ...
Zhihao Zhou, Hongjun Jiang, Bozhao Yin, Guocheng Ji, Enhai Song, Jianrong Qiu, Zhongmin Yang, Guoping Dong   +7 more
wiley   +1 more source

Europe against cancer programme. Report from the Commission to the Council, the European Parliament and the Economic and Social Committee on the execution of the programme in 1992. COM (93) 148 final, 7 April 1993 [PDF]

, 1993

core  

A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration

Advanced Science, EarlyView.
A wearable electrochemical biosensor integrated into a smart mouthguard enables the non‐invasive detection of salivary MMP‐8 for early monitoring of periodontal inflammation. Featuring a molecularly imprinted polymer‐based sensing layer, the platform offers high cytokine selectivity and impedance‐driven sensitivity. Combining wireless connectivity with
Sangheon Jeon, Sung Hyun Kim, Gyeonghwa Heo, Hye Jin Heo, Seon Yeong Chae, Young Woo Kwon, Shin‐Kyu Lee, Dong‐Wook Han, Hyun‐Joo Kim, Yun Hak Kim, Suck Won Hong   +10 more
wiley   +1 more source

Public awareness of care pathways and available skill mix in NHS dental teams: a qualitative study. [PDF]

Br Dent J
Sha Aban A, Mazzaschi F, Dickenson A, Cope A, Doe E, Tolley W, Edwards A, Joseph-Williams N.   +7 more
europepmc   +1 more source

High‐Density Flexible Neural Implants with Submicron Feedline Resolution

Advanced Electronic Materials, EarlyView.
Optimization of microfabrication methods using optical contact lithography (OCL) and electron beam lithography (EBL) enables the fabrication of 64‐channel, high‐density, parylene‐C‐based intracortical implants with submicron feedlines as narrow as 400 and 50 nm, respectively.
Lina Koschinski, Thomas Grap, Erkan Yilmaz, Marius Kleutgens, Simon Decke, Martin Kasavetov, Marie Jung, Alejandro Carnicer‐Lombarte, George Malliaras, Andreas Offenhäusser, Viviana Rincón Montes   +10 more
wiley   +1 more source

Integrating digital technologies in dental technician education: A comparative study of national examination in Asian countries. [PDF]

J Dent Sci
Hsu MS, Yeh CL, Cheng SJ, Lin CP.
europepmc   +1 more source

Artificial Intelligence‐Guided Total Mesorectal Excision: Development of a Deep Learning Model to Identify the Pelvic Fascial Plane Anatomy

Annals of Gastroenterological Surgery, EarlyView.
AI‐based segmentation of fascial planes during total mesorectal excision. Ground truth and predicted boundaries are compared for mesorectal fascia (blue), parietal pelvic fascia (red), and the holy plane (white). ABSTRACT Aim Total mesorectal excision entails dissection of the “holy plane” without damaging the mesorectal and parietal pelvic fasciae. We
Yuta Suzuki, Daichi Kitaguchi, Norihito Kosugi, Hiro Hasegawa, Nobuyoshi Takeshita, Yusuke Kinugasa, Masaaki Ito   +6 more
wiley   +1 more source

Medical emergency preparedness of dental clinics in war-torn syria: a cross-sectional study. [PDF]

Sci Rep
Kaddah M, Alkhouri I, Alkhalaf E.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source