Results 131 to 140 of about 1,535,618 (326)

Bilateral Geographic Atrophy of the Retina in Acquired Immune Deficiency Syndrome Associated with Cryptococcal Meningitis [PDF]

, 2019
Emmanouil Alexakis
openalex   +1 more source

Topical Ketotifen Fumarate Inhibits Choroidal Mast Cell Degranulation and Loss of Retinal Pigment Epithelial Cells in Rat Model for Geographic Atrophy

, 2021
Tomohiro Nizawa, Imran Ahmed Bhutto, Anupama Tiwari, Rhonda Grebe, Jesse Alt, Rana Rais, Malia M. Edwards, Gerard A. Lutty   +7 more
openalex   +1 more source

Skeletal Evidence for Leprosy in India by the Second Millenium B.C. [PDF]

, 2009
Leprosy is a chronic infectious disease caused by _Mycobacterium leprae_ that affects almost 500,000 people worldwide^1^. The timing of first infection, geographic origin, and pattern of transmission of the disease are unknown^1-3^.
Gwendolyn Robbins, Kelsey Gray, Malcolm Schug, RK Mohanty, Veena Tripathy, VN Misra, VS Shinde   +6 more
core   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

High-Resolution Adaptive Optics Transscleral Flood Illumination Imaging Allows Phenotyping of Age-Related Macular Degeneration

Cells
Adaptive optics transscleral flood illumination (AO-TFI) enables in vivo imaging of the retinal pigment epithelium (RPE) at near-cellular resolution. In this study, we evaluated its potential as a phenotyping tool in age-related macular degeneration (AMD)
Safa Mohanna, Leila S. Eppenberger, Oliver Pfäffli, Sohrab Ferdowsi, Sonja Simon-Zoula, Christoph Amstutz, Lucas M. Bachmann, Michael A. Thiel, Martin K. Schmid   +8 more
doaj   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

Advanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu, Xiaoxu Li, Yifu Feng, Zheming Wang, Kevin M. Rosso, Xiaofeng Guo, Xin Zhang   +6 more
wiley   +1 more source

Economics of land‐based carbon mitigation

American Journal of Agricultural Economics, EarlyView.
Abstract Agricultural land holds tremendous potential to contribute to net zero greenhouse gas emission goals by providing low carbon renewable energy to displace fossil fuels and by serving as a sink for sequestering carbon in the soil with climate‐smart practices. This potential is, however, far from being realized.
Madhu Khanna
wiley   +1 more source

Phase 1 Study of the Anti-HtrA1 Antibody-binding Fragment FHTR2163 in Geographic Atrophy Secondary to Age-related Macular Degeneration

, 2021
Arshad M. Khanani, Vrinda Hershberger, Dante J. Pieramici, Rahul N. Khurana, Flávia Brunstein, Ling Ma, Katie F. Maass, Lee Honigberg, Irene Tom, Hao Chen, Erich C. Strauss, Phillip Lai   +11 more
openalex   +1 more source

Pancreatic cysts suspected to be branch duct intraductal papillary mucinous neoplasm without concerning features have low risk for development of pancreatic cancer. [PDF]

, 2015
BackgroundThe risk of developing pancreatic cancer is uncertain in patients with clinically suspected branch duct intraductal papillary mucinous neoplasm (BD-IPMN) based on the "high-risk stigmata" or "worrisome features" criteria proposed in the 2012 ...
Fehmi, Syed A, Giap, Andrew Q, Gonzalez, Ingrid, Hunt, Gordon C, Krinsky, Mary L, Kwong, Wilson T, Lawson, Robert D, Savides, Thomas J, Slezak, Jeff, Tang, Raymond S   +9 more
core   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Analysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros, Thomas Bocklitz   +3 more
wiley   +1 more source