Results 61 to 70 of about 671 (234)

Traditional Chinese Medicine for lung cancer: Mechanisms, clinical evidence, and future perspectives

Precision Medical Sciences, EarlyView.
Graphical abstract represents the risk factors for lung cancer, TCM efficacy and clinical outcomes to future challenges. Abstract Lung cancer remains a leading cause of global cancer mortality. Despite advances in conventional treatments such as surgery, chemotherapy, targeted therapy, and immunotherapy, challenges including drug resistance, toxicity ...
Zhangdeng Chen, Liujun Bao
wiley   +1 more source

Spatially Profiling Trace Cytokine Signatures From Microscopically Derived Skin Samples to Probe Skin Disease Inflammation

Small Methods, EarlyView.
Inflammatory skin diseases are driven by immune dysregulation and cytokine imbalance. A challenge persists in profiling cytokines in microscopically derived biopsy skin samples due to low protein content. This study introduces a digital SERS immunoassay to simultaneously detect IL‐17A, IL‐22, IL‐23, and TNF at trace concentrations as low as 104 aM. The
Aditya Krishnakumar, Zhen Zhang, Courtney Vedelago, Timothy J. Liu, Yung‐Ching Kao, H. Peter Soyer, Mitchell S. Stark, Snehlata Kumari, Matt Trau, Alain Wuethrich   +9 more
wiley   +1 more source

Recent progress on the development of hydrogel‐based microneedles for transdermal drug delivery

VIEW, EarlyView.
This study provides a comprehensive and up‐to‐date analysis of recent progress in HMN technology, covering fundamental transdermal delivery mechanisms and design principles, biomaterials used in HMN fabrication, drug loading and release strategies, and emerging therapeutic applications.
Mohammad Muhtasim Ittisaf, Salman Farsi Taharat, Md. Sadek Miah, Hasan Tasnim Salehin, M. Azam Ali, Shoeb Ahmed   +5 more
wiley   +1 more source

Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning

Scientific Reports
Accurate detection of asphalt pavement distress is crucial for road maintenance and traffic safety. However, traditional convolutional neural networks usually struggle with this task due to the varied distress patterns and complex background in the ...
Sheng Zhang, Zhenghao Bei, Tonghua Ling, Qianqian Chen, Liang Zhang   +4 more
doaj   +1 more source

A Simplified Gaussian Approach for Asphalt Crack Detection based on Deep Learning and RGB images [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Monitoring pavement condition is a crucial aspect for pavement maintenance management systems (PMMS). There are several pavement characteristics that affect the pavement condition, Crack distress is a highly representative type of pavement distress and ...
W. Darwish, W. Darwish, W. Ahmed, W. Ahmed   +3 more
doaj   +1 more source

Queering Institutional Milestones in Elite Higher Education: Queer Perspectives on Princeton University and Coeducation (1960–1980)

Gender &History, EarlyView.
ABSTRACT A new archive of oral history interviews from LGBTQIA‐identified alumni, faculty and staff reveals the complex ways that queer and transgender students understood, experienced and remembered the long transition from single‐sex to coeducation at Princeton University.
Ezelle Sanford III, Judy Jarvis, Eric Anglero   +2 more
wiley   +1 more source

Pavement Distress Detection with Deep Learning Using the Orthoframes Acquired by a Mobile Mapping System

Applied Sciences, 2019
The subject matter of this research article is automatic detection of pavement distress on highway roads using computer vision algorithms. Specifically, deep learning convolutional neural network models are employed towards the implementation of the ...
Andri Riid, Roland Lõuk, Rene Pihlak, Aleksei Tepljakov, Kristina Vassiljeva   +4 more
doaj   +1 more source

Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

Journal of Advanced Transportation, 2020
Road pavement cracks automated detection is one of the key factors to evaluate the road distress quality, and it is a difficult issue for the construction of intelligent maintenance systems.
Weidong Song, Guohui Jia, Hong Zhu, Di Jia, Lin Gao   +4 more
doaj   +1 more source

INFRASTRUCTURAL CONCEALMENT: Everyday Festival Economies and Riverine Ecologies in Kolkata

International Journal of Urban and Regional Research, EarlyView.
Abstract Urban infrastructures are often celebrated within marketized development logics for their promise of equitable access while concealing ecological harm. This article examines whether and how ecological degradation is integral to infrastructural modernization, showing how infrastructures that promise improvement and inclusion simultaneously ...
Debapriya Chakrabarti, Deljana Iossifova, Alexandros Gasparatos   +2 more
wiley   +1 more source

The Non‐Understandable World of Autism Spectrum Disorder: A Therapist's Implicit Understanding and Subsequent Deepened Understanding

Journal of Analytical Psychology, EarlyView.
Abstract This paper examines the concept of non‐understandable in psychotherapy, based on the author's own play therapy with a boy with mild ASD (autism spectrum disorder). ASD is considered to belong to an area beyond comprehension, as psychotherapy is often deemed ineffective for it.
Toshio Kawai
wiley   +1 more source