Strengthening anoxic glycogen consumption in SNEDPR-CW as a strategy to control PAO–GAO competition under carbon limited condition

Chemosphere ◽  
2021 ◽  
pp. 132617
Author(s):  
Jieyu Chen ◽  
Jie Wang ◽  
Xiaoning Wang ◽  
Yabing Lv ◽  
Dapeng Li ◽  
...  
Keyword(s):  
Limited Condition

scholarly journals Flagellate Dermatitis by Shiitake Mushroom

2019 ◽  
Vol 11 (2) ◽  
pp. 220-225
Author(s):  
Camilla Santos Ribeiro ◽  
Celso Tavares Sodré ◽  
Marcia Ramos-e-Silva
Keyword(s):  
Complete Remission ◽  
Young Male ◽  
Western World ◽  
Shiitake Mushroom ◽  
Limited Condition ◽  
Shiitake Mushrooms

The authors present a case of flagellate dermatitis in a previously healthy young male, triggered by the consumption of shiitake mushrooms. Complete remission without complications was obtained within 7 days, simply by the application of dexamethasone cream 0.1%. Considering the growing use of this originally Asian fungus in cookery worldwide, it is likely that we will see increased occurrence of this benign and self-limited condition also in the Western world.

Research on Newton Iterative Method and its Application in Locating Problem of Cameras

2010 ◽  
Vol 108-111 ◽  
pp. 112-116
Author(s):  
Ai Min Yang ◽  
Jin Cai Chang ◽  
Shao Hong Yan
Keyword(s):  
Iterative Method ◽  
Plane Surface ◽  
Target Surface ◽  
Newton Iterative Method ◽  
Limited Condition ◽  
Surface Length

According to the imagery coordinate’s mapping relation between the three points’(A,C,E) geometric limited condition on target surface ( length, perpendicular) and the image’s coordinate on the imagery plane surface to construct non- lineable equation models, we make use of the method of abstracting the center of a circle to get the coordinates of the three points 、 、 .In order to improve the precision and decrease the quantity of operation, we take the accelerateNewton Newton iterative method to evaluate the original numerical value by adding its repeating times to increase the precision of model, then to solve out the numerical value of coordinates of the three points A,C,E on the target’s surface, on the basis of this numerical value, we can fix the solution of the target’s surface’s equation. Try to assure the precision of the constructed model through these erroneous values, meanwhile, to make out the concrete analysis about the model’s stability.

Discovery of QTLs for water mining and water use efficiency traits in rice under water-limited condition through association mapping

2016 ◽  
Vol 36 (3) ◽  
Author(s):  
Bheemanahalli R. Raju ◽  
Malagondanahalli V. Mohankumar ◽  
Kambalimath K. Sumanth ◽  
Mavinahalli P. Rajanna ◽  
Makarla Udayakumar ◽  
...  
Keyword(s):  
Association Mapping ◽  
Water Use Efficiency ◽  
Water Use ◽  
Limited Condition ◽  
Use Efficiency

scholarly journals Confusional State in HaNDL Syndrome: Case Report and Literature Review

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Sarah Nelson
Keyword(s):  
Cerebrospinal Fluid ◽  
Case Report ◽  
Literature Review ◽  
Mental Status ◽  
Clinical Manifestation ◽  
English Language ◽  
Altered Mental Status ◽  
Confusional State ◽  
Limited Condition ◽  
Confusional States

The syndrome of transient headache and neurologic deficits with cerebrospinal fluid lymphocytosis (HaNDL syndrome) is a self-limited condition. Confusional states are uncommonly reported as a clinical manifestation of this syndrome. Here, I report a 76-year-old female who presented with headache, confusion, and agitation with a mild CSF lymphocytosis. Other workup to determine the cause of her altered mental status was otherwise negative. The literature available in the English language on HaNDL syndrome is reviewed, including its history, pathophysiology, possible associations with migraine and stroke, and previously reported cases of confusional states in this syndrome. While HaNDL syndrome has been a described entity since the 1980s, its pathophysiology has yet to be clearly defined.

scholarly journals Minocycline-Associated Pseudotumor Cerebri with Severe Papilledema

2009 ◽  
Vol 2009 ◽  
pp. 1-5 ◽  
Author(s):  
Simon R. Bababeygy ◽  
Michael X. Repka ◽  
Prem S. Subramanian
Keyword(s):  
Visual Field ◽  
Surgical Management ◽  
Vision Loss ◽  
Case Series ◽  
Visual Field Loss ◽  
Pseudotumor Cerebri ◽  
Drug Discontinuation ◽  
Unusual Complication ◽  
Limited Condition ◽  
Nonobese Patients

Background. Pseudotumor cerebri is an acknowledged but unusual complication of oral minocycline use. Vision loss and papilledema have been described as mild and transient, and some authors suggest that treatment is not needed.Methods. Case series of 2 patients with severe papilledema and visual field loss.Results. Severe pseudotumor cerebri developed in 2 nonobese patients taking minocycline. Their disease required further treatment even upon drug discontinuation because of visual field loss and papilledema.Conclusions. Minocycline-associated pseudotumor cerebri is not always a self-limited condition and may require aggressive medical or surgical management.

scholarly journals Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning

2021 ◽  
Vol 9 ◽  
Author(s):  
Na Wu ◽  
Fei Liu ◽  
Fanjia Meng ◽  
Mu Li ◽  
Chu Zhang ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Transfer Learning ◽  
Large Scale ◽  
Accurate Method ◽  
Classification Model ◽  
Screening Process ◽  
Germplasm Screening ◽  
Limited Condition ◽  
Crop Germplasm

Rapid varieties classification of crop seeds is significant for breeders to screen out seeds with specific traits and market regulators to detect seed purity. However, collecting high-quality, large-scale samples takes high costs in some cases, making it difficult to build an accurate classification model. This study aimed to explore a rapid and accurate method for varieties classification of different crop seeds under the sample-limited condition based on hyperspectral imaging (HSI) and deep transfer learning. Three deep neural networks with typical structures were designed based on a sample-rich Pea dataset. Obtained the highest accuracy of 99.57%, VGG-MODEL was transferred to classify four target datasets (rice, oat, wheat, and cotton) with limited samples. Accuracies of the deep transferred model achieved 95, 99, 80.8, and 83.86% on the four datasets, respectively. Using training sets with different sizes, the deep transferred model could always obtain higher performance than other traditional methods. The visualization of the deep features and classification results confirmed the portability of the shared features of seed spectra, providing an interpreted method for rapid and accurate varieties classification of crop seeds. The overall results showed great superiority of HSI combined with deep transfer learning for seed detection under sample-limited condition. This study provided a new idea for facilitating a crop germplasm screening process under the scenario of sample scarcity and the detection of other qualities of crop seeds under sample-limited condition based on HSI.

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