Results 1 to 10 of about 149,179 (263)

Pharmacokinetics and safety of highly variable nitroglycerin lingual spray (NLS) versus US-licensed nitroglycerin lingual spray reference product (Nitrolingual®): a randomized, four-cycle, four-sequence, partially replicated crossover Phase I bioequivalence clinical trial [PDF]

Frontiers in Pharmacology
PurposeIn this Phase I study, we aimed to evaluate the pharmacokinetic bioequivalence and the safety of a nitroglycerin lingual spray (NLS) compared with US-approved Nitrolingual in healthy subjects.MethodsSubjects (N = 56) were randomized 1:1 to receive
Yingying Fang, Lu Qi, Yu Wang, Chunyu Han, Qian Zhang, Xiaoyun Liu, Ju Liu, Xiaoqiang Cheng, Yinjuan Li, Yan Li, Mingli Sun, Long Liu, Pu Li, Yingjuan Zhang, Huijuan Liu, Xinghe Wang   +15 more
doaj   +4 more sources

Preparation, Physicochemical Properties and Stability of Anthocyanin Nanoliposomes Before and After Double-Layer Modification Using Synanthrin and Pea Protein Isolate [PDF]

Molecules
Anthocyanins (ACNs), characterized by their polyhydroxy structures, exhibit high susceptibility to external environmental factors, which significantly limits their application in the food and industrial sectors.
Lianlian Zhang, Aniya, Shengping Xing, Jing Li, Ying Liu, Chaozhi Li, Jianhang Zhu, Yan Li, Xiaoji Fu   +8 more
doaj   +2 more sources

EXPERIMENT ON PRODUCING DISPARITY MAPS FROM AERIAL STEREO IMAGES USING UNSUPERVISED AND SUPERVISED METHODS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Recent advancement in hardware and software provides the possibility of realizing full automation in stereo-image tasks. This paper investigated disparity map generation from aerial images with different methods: unsupervised method and supervised ...
L. Zhu, E. Hattula, J. Raninen, J. Hyyppä   +3 more
doaj   +1 more source

Advantages of Using Transfer Learning Technology with a Quantative Measurement

Remote Sensing, 2023
The number of people living in cities is continuously growing, and the buildings in topographic maps are in need of frequent updates, which are costly to perform manually. This makes automatic building extraction a significant research subject.
Emilia Hattula, Lingli Zhu, Jere Raninen, Juha Oksanen, Juha Hyyppä   +4 more
doaj   +1 more source

COMBINING YOLO V5 AND TRANSFER LEARNING FOR SMOKE-BASED WILDFIRE DETECTION IN BOREAL FORESTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Wildfires present severe threats to various aspects of ecosystems, human settlements, and the environment. Early detection plays a critical role in minimizing the destructive consequences of wildfires.
A.-M. Raita-Hakola, S. Rahkonen, J. Suomalainen, L. Markelin, R. Oliveira, T. Hakala, N. Koivumäki, E. Honkavaara, I. Pölönen   +8 more
doaj   +1 more source

Combating Single-Frequency Jamming through a Multi-Frequency, Multi-Constellation Software Receiver: A Case Study for Maritime Navigation in the Gulf of Finland

Sensors, 2022
Today, a substantial portion of global trade is carried by sea. Consequently, the reliance on Global Navigation Satellite System (GNSS)-based navigation in the oceans and inland waterways has been rapidly growing.
Saiful Islam, Mohammad Zahidul H. Bhuiyan, Sarang Thombre, Sanna Kaasalainen   +3 more
doaj   +1 more source

A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images

Remote Sensing, 2023
Oat products are significant parts of a healthy diet. Pure oat is gluten-free, which makes it an excellent choice for people with celiac disease. Elimination of alien cereals is important not only in gluten-free oat production but also in seed production.
Ehsan Khoramshahi, Roope Näsi, Stefan Rua, Raquel A. Oliveira, Axel Päivänsalo, Oiva Niemeläinen, Markku Niskanen, Eija Honkavaara   +7 more
doaj   +1 more source

Mapping Small Watercourses from DEMs with Deep Learning—Exploring the Causes of False Predictions

Remote Sensing, 2023
Vector datasets of small watercourses, such as rivulets, streams, and ditches, are important for many visualization and analysis use cases. Mapping small watercourses with traditional methods is laborious and costly.
Christian Koski, Pyry Kettunen, Justus Poutanen, Lingli Zhu, Juha Oksanen   +4 more
doaj   +1 more source

Study on the effect of color space in deep multitask learning neural networks for road segmentation [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Precise road segmentation is an essential part of many applications related to road information extraction from remote sensing data. The effect of color space on road detection has rarely been studied. In this paper, the effects of different color spaces
J. Raninen, L. Zhu, E. Hattula
doaj   +1 more source

Periodic and Solitary Wave Solutions for the One-Dimensional Cubic Nonlinear Schrödinger Model

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
Using a similar approach as Korteweg and de Vries, [19], we obtain periodic solutions expressed in terms of the Jacobi elliptic function cn, [3], for the self-focusing and defocusing one-dimensional cubic nonlinear Schrödinger equations.
Bica Ion, Mucalica Ana
doaj   +1 more source