Validation of a new wearable device for type 3 sleep test without flowmeter

Background Ventilation monitoring during sleep is performed by sleep test instrumentation that is uncomfortable for the patients due to the presence of the flowmeter. The objective of this study was to evaluate if an innovative type 3 wearable system, the X10X and X10Y, is able to correctly detect events of apnea and hypopnea and to classify the severity of sleep apnea without the use of a flowmeter. Methods 40 patients with sleep disordered breathing were analyzed by continuous and simultaneous recording of X10X and X10Y and another certified type 3 system, SOMNOtouch, used for comparison. Evaluation was performed in terms of quality of respiratory signals (scores from 1, lowest, to 5, highest), duration and classification of apneas, as well as identification and duration of hypopneas. Results 580 periods were evaluated. Mean quality assigned score was 3.37±1.42 and 3.25±1.35 for X10X and X10Y and SOMNOtouch, respectively. The agreement between the two systems was evaluated with grades 4 and 5 in 383 out of 580 cases. A high correlation (r2 = 0.921; p<0.001) was found between the AHI indexes obtained from the two systems. X10X and X10Y devices were able to correctly classify 72.3% of the obstructive apneas, 81% of the central apneas, 61.3% of the hypopneas, and 64.6% of the mixed apneas when compared to SOMNOtouch device. Conclusion The X10X and X10Y devices are able to provide a correct grading of sleep respiratory disorders without the need of a nasal cannula for respiratory flow measurement and can be considered as a type 3 sleep test device for screening tests.

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Dynamics of the processes in metal machining

Nonlinear Analysis Modelling and Control ◽

10.15388/na.1998.2.0.15295 ◽

1998 ◽

Vol 2 ◽

pp. 115-122

Author(s):

Donatas Švitra ◽

Jolanta Janutėnienė

Keyword(s):

High Frequency ◽

Machine Tools ◽

Metal Cutting ◽

Cutting Tool ◽

Low Frequency ◽

Metal Cutting Machine ◽

Cutting Machine ◽

Metal Machining

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

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Paepalanthus fabianeae (Eriocaulaceae): A New Microendemic Species from a Morphologically Coherent Clade

Systematic Botany ◽

10.1600/036364420x16033963649318 ◽

2020 ◽

Vol 45 (4) ◽

pp. 794-801

Author(s):

Caroline Oliveira Andrino ◽

Marcelo Fragomeni Simon ◽

Jair Eustáquio Quintino Faria ◽

André Luiz da Costa Moreira ◽

Paulo Takeo Sano

Keyword(s):

New Species ◽

Iucn Red List ◽

Phylogenetic Position ◽

Similar Species ◽

Infrageneric Classification ◽

Espinhaço Range ◽

Nuclear Its ◽

Two Populations

Abstract—We describe and illustrate Paepalanthus fabianeae, a new species of Eriocaulaceae from the central portion of the Espinhaço Range in Minas Gerais, Brazil. Previous phylogenetic evidence based on analyses of nuclear (ITS and ETS) and plastid (trnL-trnF and psba-trnH) sequences revealed P. fabianeae as belonging to a strongly supported and morphologically coherent clade containing five other species, all of them microendemic, restricted to the Espinhaço range. Due to the infrageneric classification of Paepalanthus being highly artificial, we preferred not assigning P. fabianeae to any infrageneric group. Paepalanthus fabianeae is known from two populations growing in campos rupestres (highland rocky fields) in the meridional Espinhaço Range. The species is characterized by pseudodichotomously branched stems, small, linear, recurved, and reflexed leaves, urceolate capitula, and bifid stigmas. Illustrations, photos, the phylogenetic position, and a detailed description, as well as comments on habitat, morphology, and affinities with similar species are provided. The restricted area of occurrence allied with threats to the quality of the habitat, mainly due to quartzite mining, justifies the preliminary classification of the new species in the Critically Endangered (CR) category using the guidelines and criteria of the IUCN Red List.

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MEDIATEXT IS A TOOL THAT DETERMINES THE QUALITY OF INFORMATION

International journal of word art ◽

10.26739/2181-9297-2020-6-22 ◽

2020 ◽

Vol 6 (3) ◽

pp. 158-164

Author(s):

Navruza Yakhyayeva ◽

Keyword(s):

Functional Properties ◽

Linguistic Features ◽

Text Linguistics ◽

Quality Of Information ◽

The Creation ◽

Linguistic Units ◽

Scientific Classification

The quality and content of information in the article media text is based on scientific classification of linguistic features. The study of functional styles of speech, the identification of their linguistic signs, the discovery of the functional properties of linguistic units and their separation on the basis of linguistic facts is one of thetasks that modern linguistics is waiting for a solution. Text Linguistics, which deals with the creation, modeling of its structure and the study of the process of such activity, is of interest to journalists today as a science.

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IMPROVEMENT OF CLASSIFICATION OF FACTORS AFFECTING THE QUALITY OF SILICON CONNECTIONS IN SEWING PRODUCTS

European Science Review ◽

10.29013/esr-19-1.2.1-86-88 ◽

2019 ◽

pp. 86-88

Author(s):

R. H. Batirova ◽

S. S. Tashpulatov ◽

I. V. Cherunova ◽

M. A. Mansurova ◽

S. L. Matismailov

Keyword(s):

Factors Affecting

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LEARNING MATERIALS: THE “NUCLEUS” OF LANGUAGE TEACHING

Journal of English Education ◽

10.31327/jee.v3i1.417 ◽

2018 ◽

Vol 3 (1) ◽

pp. 1-8

Author(s):

Desy Damayanti ◽

Adin Fauzi ◽

Azizatul Mahfida Inayati

Keyword(s):

Language Teaching ◽

Language Teachers ◽

Learning Materials ◽

Authentic Materials ◽

Authentic Texts ◽

Radio Broadcasting ◽

Language Classroom ◽

Level Of Understanding

Among some components of effective language classroom, learning materials indisputably play a focal role. They improve the quality of language teaching; facilitate teachers in doing their duties, and lead students to a higher level of understanding in learning. This research aims to discuss the notion of materials in language teaching. It made use of works of literature to outline the importance of materials in language teaching, and to analyze kinds of materials, which are relevant to language teaching. The analysis resulted in the classification of materials into two broad categories namely (1) created materials, which include course book, audio materials, and video materials; and (2) authentic materials, which cover authentic texts, movie/film, radio broadcasting, television program, graphs, maps, tables, and charts. This paper serves as an invaluable resource to facilitate language teachers in selecting appropriate materials for effective language teaching.

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Coordination of technology of railway operation of the Republic of Tajikistan and organization of railways in international traffic

Vestnik of the Railway Research Institute ◽

10.21780/2223-9731-2018-77-4-211-217 ◽

2018 ◽

Vol 77 (4) ◽

pp. 211-217 ◽

Cited By ~ 1

Author(s):

P. N. Pulatov

Keyword(s):

Rolling Stock ◽

Railway Transport ◽

Transport Services ◽

Railway Infrastructure ◽

External Conditions ◽

The Republic ◽

Railway Operation ◽

Required Quality

Current geopolitical and economic conditions for the functioning of railway transport in most post-Soviet states are such that it is extremely difficult to provide required quality of transport services and break-even operations at high expenses for maintaining the railway infrastructure and rolling stock. Dynamics of transportation of the Tajik Railway (TSR) is shown, which displays that most of its sections are classified as low-intensity ones. The paper proposes methodical principles, setting and qualitative analysis of the task of rationalization of operational work and organization of car flows for international transportation, taking into account the specifics of the Tajik Railway. There is a problem of complex maintenance of the efficiency of operational work in modern conditions based on the synthesis of the tasks of self-management (rational internal operational technology of the Tajik Railway) and coordination tasks (technological interaction with railway administrations of other states). Author substantiated the necessity of solving this problem. Proposed classification of technological restrictions and controlled variables in the performance of transport takes into account methods for changing external conditions for the functioning of the railway landfill and methods for increasing internal efficiency of its operation. The search for the solution of the problem involves direct search of variants along its ordered set with clipping of groups of variants that do not correspond to constraints, with the subsequent finding of compromise control over a set of effective alternatives.

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AI-based localization and classification of skin disease with erythema

Scientific Reports ◽

10.1038/s41598-021-84593-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Ha Min Son ◽

Wooho Jeon ◽

Jinhyun Kim ◽

Chan Yeong Heo ◽

Hye Jin Yoon ◽

...

Keyword(s):

Neural Network ◽

Skin Diseases ◽

Classification Model ◽

Screening Tests ◽

Sensitivity Score ◽

Common Skin ◽

Novel Method ◽

Improved Performance ◽

High Level

AbstractAlthough computer-aided diagnosis (CAD) is used to improve the quality of diagnosis in various medical fields such as mammography and colonography, it is not used in dermatology, where noninvasive screening tests are performed only with the naked eye, and avoidable inaccuracies may exist. This study shows that CAD may also be a viable option in dermatology by presenting a novel method to sequentially combine accurate segmentation and classification models. Given an image of the skin, we decompose the image to normalize and extract high-level features. Using a neural network-based segmentation model to create a segmented map of the image, we then cluster sections of abnormal skin and pass this information to a classification model. We classify each cluster into different common skin diseases using another neural network model. Our segmentation model achieves better performance compared to previous studies, and also achieves a near-perfect sensitivity score in unfavorable conditions. Our classification model is more accurate than a baseline model trained without segmentation, while also being able to classify multiple diseases within a single image. This improved performance may be sufficient to use CAD in the field of dermatology.

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Classification of endonasal HHT lesions using digital microscopy

Orphanet Journal of Rare Diseases ◽

10.1186/s13023-021-01801-9 ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

F. Haubner ◽

A. Schneider ◽

H. Schinke ◽

M. Bertlich ◽

B. G. Weiss ◽

...

Keyword(s):

Quality Of Life ◽

Treatment Modalities ◽

Hereditary Haemorrhagic Telangiectasia ◽

Digital Microscopy ◽

Digital Microscope ◽

Lower Severity ◽

Gender Specific Differences ◽

Vegf Level

Abstract Background Recurrent spontaneous epistaxis is the most common clinical manifestation and the most debilitating symptom in hereditary haemorrhagic telangiectasia (HHT) patients. To this date, there exist only a classification of HHT patients by different genetic mutations. There is no standard classification for the mucocutaneous endonasal manifestations of HHT. The aim of the present study was to document the variety of endonasal HHT lesions using digital microscopy and to propose a clinical classification. Methods We recorded the endonasal HHT lesions of 28 patients using a digital microscope. We reconstructed the 3D images und videos recorded by digital microscope afterwards and classified the endonasal lesions of HHT in two classes: Grade A, presence of only flat telangiectasias in the mucosa level and Grade B, (additional) presence of raised berry or wart-like telangiectasia spots. We investigated also Haemoglobin level by routine laboratory procedures, plasma VEGF level by ELISA, Severity of epistaxis by epistaxis severity score (ESS) and quality of life by a linear visual analogue scale (VAS). Results We found a higher quality of life and a lower severity of epistaxis in Grade A patients in comparison to Grade B patients. No difference in plasma VEGF level and in Haemoglobin between Grad A patients and Grade B patients could be detected. Plasma VEGF levels showed no gender specific differences. It could also not be correlated to the extranasal manifestation. Conclusion The classification for endonasal manifestation of HHT proposed in this study indicates severity of epistaxis und quality of life. Digital microscopy with the ability of 3D reconstruction of images presents a useful tool for such classifications. The classification of endonasal HHT lesions using digital microscopy allows to evaluate the dynamic of HHT lesions in the course of time independent of examiner. This allows also to evaluate the efficacy of the different treatment modalities by dynamic of HHT lesions. Moreover digital microscopy is very beneficial in academic teaching of rare diseases.

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Feature Extraction and Classification of Citrus Juice by Using an Enhanced L-KSVD on Data Obtained from Electronic Nose

Sensors ◽

10.3390/s19040916 ◽

2019 ◽

Vol 19 (4) ◽

pp. 916 ◽

Cited By ~ 2

Author(s):

Wen Cao ◽

Chunmei Liu ◽

Pengfei Jia

Keyword(s):

Feature Extraction ◽

Kernel Function ◽

Electronic Nose ◽

Classification Accuracy ◽

Extraction Methods ◽

Object Function ◽

Optimal Value ◽

Processed Products

Aroma plays a significant role in the quality of citrus fruits and processed products. The detection and analysis of citrus volatiles can be measured by an electronic nose (E-nose); in this paper, an E-nose is employed to classify the juice which is stored for different days. Feature extraction and classification are two important requirements for an E-nose. During the training process, a classifier can optimize its own parameters to achieve a better classification accuracy but cannot decide its input data which is treated by feature extraction methods, so the classification result is not always ideal. Label consistent KSVD (L-KSVD) is a novel technique which can extract the feature and classify the data at the same time, and such an operation can improve the classification accuracy. We propose an enhanced L-KSVD called E-LCKSVD for E-nose in this paper. During E-LCKSVD, we introduce a kernel function to the traditional L-KSVD and present a new initialization technique of its dictionary; finally, the weighted coefficients of different parts of its object function is studied, and enhanced quantum-behaved particle swarm optimization (EQPSO) is employed to optimize these coefficients. During the experimental section, we firstly find the classification accuracy of KSVD, and L-KSVD is improved with the help of the kernel function; this can prove that their ability of dealing nonlinear data is improved. Then, we compare the results of different dictionary initialization techniques and prove our proposed method is better. Finally, we find the optimal value of the weighted coefficients of the object function of E-LCKSVD that can make E-nose reach a better performance.

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