coarse filter
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Small ◽  
2021 ◽  
Vol 17 (33) ◽  
pp. 2170172
Author(s):  
Enze Tian ◽  
Qipeng Yu ◽  
Yilun Gao ◽  
Hua Wang ◽  
Chao Wang ◽  
...  

Small ◽  
2021 ◽  
pp. 2102051
Author(s):  
Enze Tian ◽  
Qipeng Yu ◽  
Yilun Gao ◽  
Hua Wang ◽  
Chao Wang ◽  
...  

Author(s):  
I. A. Saranov ◽  
S. I. Niftaliev ◽  
V. V. Toroptsev ◽  
I. A. Kuznetsov

The increased interest in ultrafiltration technology in the last decade is caused by the search for new purification methods that allow obtaining high-quality drinking water that meets modern regulatory requirements. Modern water purification schemes use an ultrafiltration unit before reverse osmosis in softening, desalination and demineralization of water for food production. The pore size of ultrafiltration membranes ranges from 5 nm to 0.05-0.1 microns. Using ultrafiltration instead of the traditional water treatment scheme, makes it possible to obtain water with a low content of suspended and colloidal substances, increase the productivity and serviceability of reverse osmosis membranes. The water treatment scheme may contain the following modules: coarse filter; ultrafiltration unit, buffer tank; mixer; water container; reverse osmosis installation; pumps. The method of differential scanning microscopy is used to assess the quality of water during its purification. Water samples were cooled with liquid nitrogen to -30 ? and then heated to 30 ?. Crystals melting peaks were recorded on the DSC curves, and the thermal effect was calculated. During the water purification process, the value of the thermal effect of frozen water samples melting declines (from 515.1 to 261.2 J / g), the value of the temperatures at the onset (from 0.7 to -0.13 ?) and at the peak of crystal melting (from 7.45 up to 4.27 ?). The difference between the heat effect data for water samples after coarse filtration and ultrafiltration is small, which indicates that the ultrafiltration unit allows cations and anions to pass through, which preserves the salt balance of water.


2021 ◽  
pp. e01667
Author(s):  
David G. Jenkins ◽  
Elizabeth H. Boughton ◽  
Andrew J. Bohonak ◽  
Reed F. Noss ◽  
Marie A. Simovich ◽  
...  

2021 ◽  
pp. e01598
Author(s):  
Anne Davidson ◽  
Leah Dunn ◽  
Kevin Gergely ◽  
Alexa McKerrow ◽  
Steven Williams ◽  
...  

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaoli Ma ◽  
Hongyan Xu ◽  
Xiaoqian Zhang ◽  
Haoyong Wang

With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. However, because multitasking contains the interference problem faced by the translated text, there is a big gap between recognition performance and actual application requirements. Aiming at multitasking and translation text detection, this paper proposes a text localization method based on multichannel multiscale detection of the largest stable extreme value region and cascade filtering. This paper selects the appropriate color channel and scale to extract the maximum stable extreme value area as the character candidate area and designs a cascaded filter from coarse to fine to remove false detections. The coarse filter is based on some simple morphological features and stroke width features, and the fine filter is trained by a two-recognition convolutional neural network. The remaining character candidate regions are merged into horizontal or multidirectional character strings through the graph model. The experimental results on the text data set prove the effectiveness of the improved deep learning network character model and the feasibility of the textual implication translation analysis method based on this model. Among them, the text contains translation character recognition results prove that the model has good description ability. The characteristics of the model determine that this method is not sensitive to the scale of the sliding window, so it performs better than the existing typical methods in retrieval tasks.


Author(s):  
Aytakin Hasanova ◽  

Human, as a species, is very variable, and his variability is at the basis of his social organization. This variability is maintained, in part, by the chance effects of gene assortment and the variation in these genes is the result of mutations in the past. If our remote ancestors had not mutated we would not he here; further, since no species is likely to he able to reduce its mutation rate substantially by the sort of selection to which it is exposed, we may regard mutations of recent origin as part of the price of having evolved. We are here: all of us have some imperfections we would wish not to have, and many of us are seriously incommoded by poor sight, hearing or thinking. Others among us suffer from some malformation due to faulty development. A few are formed lacking some essential substance necessary to metabolize a normal diet, to clot the blood, or to darken the back of the eye. We will all die and our deaths will normally be related to some variation in our immu-nological defences, in our ability to maintain our arteries free from occlusion, or in some other physiological aptitude. This massive variation, which is the consequence both of chance in the distribution of alleles and variety in the alleles themselves, imposes severe disabilities and handicaps on a substantial proportion of our population. The prospects of reducing this burden by artificial selection from counsel¬ling or selective feticide will be considered and some numerical estimates made of its efficiency and efficacy. Screening is a procedure by which populations are separated into groups, and is widely used for administrative and other purposes. At birth all babies are sexed and divided into two groups. Later the educable majority is selected from the ineducable minority; later still screening continues for both administrative and medical purposes. Any procedure by which populations are sifted into distinct groups is a form of screening, the word being derived from the coarse filter used to separate earth and stones. In medicine its essential features are that the population to be screen¬ed is not knowingly in need of medical attention and the action is taken on behalf of this population for its essential good. A simple example is provided by cervical smear examination, the necessary rationale for which must be the haimless and reliable detection of precancerous changes which can be prevented from becoming irreversible. Any rational decision on the development of such a service must be based on a balance of good and harm and any question of priorities in relation to other services must be based on costing. The balance of good and harm is a value judgement of some complexity. In the example of cervical smears anxiety and the consequences of the occasional removal of a healthy uterus must be weighed against the benefits of the complete removal of a cancerous one, and such matters cannot be costed in monetary terms. In fact, even such an apparently simple procedure as cervical screening is full of unknowns and many of these unknowns can only be resolved by extensive and properly designed studies. In genetic screening the matter is even more complicated, since the screening is often vicarious; that is, one person is screened in order to make a prediction on what may happen to someone else, usually their children, who may be un¬conceived or unborn. Further, the action of such screening may not be designed to ameliorate disease, but to eliminate a fetus which has a high chance of an affliction, or to prevent a marriage in which there is a mutual predisposition to producing abnormal children. These considerations impose very considerable dif¬ferences, since the relative values placed on marriage, on having children within marriage, and on inducing abortion, vary widely between individuals and between societies.


2020 ◽  
Vol 82 (7) ◽  
pp. 1380-1392
Author(s):  
Marcos von Sperling ◽  
Emmanuelle Machado Maia Nogueira Lima ◽  
Mirene Augusta de Andrade Moraes

Abstract A scientific basis is given to the traditional method of inferring effluent quality based on visualization of samples in transparent flasks. A scale of 1–6, with different printed grey intensities, is placed behind transparent PET bottles containing the sample, and gives an indication of the range of turbidity in the sample (1 is the most transparent and can only be visualized if the effluent is well clarified; in the other spectrum, 6 is the darkest and indicates highly turbid effluents). Turbidity has been correlated with total suspended solids (TSS), particulate biochemical oxygen demand (BOD) and particulate chemical oxygen demand (COD) based on thousands of monitored data collected in the effluent from seven different treatment processes in Brazil: upflow anaerobic sludge blanket (UASB) reactor, trickling filters, activated sludge, horizontal wetland, vertical wetland, polishing ponds and coarse filter after pond. The method is simple and instantaneous, can be used in virtually all places and in every visit of the operator to the remote treatment plant, allows recording of the image in smartphones, does not use any equipment, chemicals or energy, and has been showed to represent well the effluent quality of existing treatment plants. This essay is complementary and does not substitute specific traditional sampling and analysis, but allows easy inference of deterioration of effluent quality.


2020 ◽  
Vol 15 ◽  
pp. 155892501989896
Author(s):  
Wei Xie ◽  
Yuesheng Fan ◽  
Junwei Yu ◽  
Xin Zhang ◽  
Pengfei Si

Experiments and theoretical analyses are conducted in an office in Xi’an to study indoor particle concentration through establishing a mass balance equation and real-time monitoring. Meanwhile, the filtration efficiencies for different grades of filter media have been tested and verified by experiments. Studies are conducted on indoor particulate emission source and concentration change in combination with equation of linear regression, linear fitting curve of indoor–outdoor concentration, as well as indoor concentration decay profile. The results indicate that coarse filters G1 to G4 are used in mechanical ventilation to filter larger particles. However, it can only achieve 1.6%–15.2% for PM2.5 filtration efficiency. On the other hand, F7 to H10 filters could reach the high efficiency of 55.6%–69.7%. Furthermore, indoor PM2.5 concentration with a coarse filter using G4 filter can obviously reduce the indoor particulate concentration to 69–75 μg/m3. It ranges from 87 to 90 μg/m3 using a G3 filter, while the outdoor PM2.5 concentration is 135–150 μg/m3.


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