Results 161 to 170 of about 66,920 (303)

Nondestructive lingual variant of isolated mucosal leishmaniasis in an endemic zone: A case report from Nepal. [PDF]

JAAD Case Rep
Neupane D, Thapa DP, Bhusal M, Shah S, Shrestha J.   +4 more
europepmc   +1 more source

Managing Spectral Intensity Variations With In‐Line Fiber‐Optic High‐Volume Noncontact Raman Probes: A Strategy Exploration

Journal of Raman Spectroscopy, EarlyView.
Robust quantification in noncontact Raman sensing requires dedicated correction of working distance dependent background effects, while laser power variations are readily stabilized using internal reference signals. Chemically relevant Raman intensity can be preserved for bulk composition measurements, under variable laser power and working distance ...
Tiril Aurora Lintvedt, Petter Vejle Andersen, Jens Petter Wold, Nils Kristian Afseth   +3 more
wiley   +1 more source

The Clinical Efficacy of High‐Voltage Long‐Duration Pulsed Radiofrequency Treatment in Pudendal Neuralgia: A Retrospective Study

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Background Patients with pudendal neuralgia (PN) experience long‐lasting chronic pain, hyperalgesia, and comorbid emotional disorders, such as depression and anxiety. Treatment via conventional pulsed radiofrequency (PRF) current carries a significantly high rate of failure.
Cheng‐Long Wang, Tao Song
wiley   +1 more source

Detection of Hidden Pest Rice Weevil (<i>Sitophilus oryzae</i>) in Wheat Kernels Using Hyperspectral Imaging. [PDF]

Foods
Yan L, Luo T, Zhao C, Ma H, Wu Y, Bai C, Zhu Z.   +6 more
europepmc   +1 more source

Detecting Antibiotic Resistance in Strains of Selected Gram‐Negative Bacterial Species Using Raman Spectroscopy

Journal of Raman Spectroscopy, EarlyView.
Raman spectroscopy successfully identified antibiotic‐resistant Gram‐negative strains. Resistant strains of four bacterial species were discriminated from sensitive ones with 99.1% accuracy using PLS regression. The method allows for rapid, label‐free detection of antibiotic resistance.
Fernanda Sant Ana de Siqueira e Oliveira, Adriano Moraes da Silva, Marcos Tadeu T. Pacheco, Landulfo Silveira Jr.   +3 more
wiley   +1 more source

Detection and Quantification of Dysprosium in Plant Tissues. [PDF]

Plant Direct
Hernández-Pagán E, Laosuntisuk K, Harris AT, Haynes AN, Buitrago D, Guedira A, Rajabu C, Kudenov MW, Doherty CJ.   +8 more
europepmc   +1 more source

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

Macromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh, Cyrille Boyer, Priyank V. Kumar   +2 more
wiley   +1 more source

Nondestructive, fatigue cyclic, and ramped cyclic biomechanical testing of surgical techniques for stabilization of the lumbosacral junction in dogs. [PDF]

Vet Surg
Smolders LA, Arz R, Steffen F, Pozzi A, Park B.   +4 more
europepmc   +1 more source

Quantification of 10B and 11B in Biological Samples in Translational Science and Clinical Applications for Boron Neutron Capture Therapy (BNCT)

Medicinal Research Reviews, EarlyView.
ABSTRACT Boron neutron capture therapy (BNCT) is a targeted radiotherapy that exploits the selective accumulation of the 10B isotope within tumors, followed by irradiation with low‐energy neutrons to induce high linear energy transfer particles with short path lengths, resulting in localized tumor cell destruction while sparing surrounding healthy ...
Christoph Selg, Wolfgang A. G. Sauerwein, Evamarie Hey‐Hawkins   +2 more
wiley   +1 more source

MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images

Materials Genome Engineering Advances, EarlyView.
MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang, Mohamed AitTamerd, Ziqing He, Wenzhu Bi, Manling Zhao, Shuran Li, Menghao Yang   +6 more
wiley   +1 more source