489 research outputs found
Pre-segmentation influence on the efficiency of multi-temporal image registration
The analysis of the segmentation effect of various background areas in the image on the quality of registration of multi-temporal bridge structure images using stochasticalgorithms is carried out. The influence of the parameters of bridge structures image registration, such background structures as cloudiness and ground cover, on the operatingrange is analyzed under the assumption that the similarity model describes mutual volumetric images
Correlation Between Diet History and Nutritional Status of Children Aged 24β59 Months in Tarumajaya, Bekasi in 2019
This study aimed to analyze the correlation between diet history and the nutritional status of pre-school children. This was an analytical observational study using a cross-sectional design. Sam-ples were 96 children aged 24β59 months in Tarumajaya, Bekasi, West Java. Diet history was obtained from questionnaires containing history of breastfeeding and diet since the infancy period. The childrenβs heights were measured using a microtoise stature meter. Subjects were considered stunted if their Height-for-Age Z-score was minus 2 or lower according to WHO Child Growth Standard. Data was analyzed using Fisherβs exact test. Out of the 96 children, 16 (16.7%) were stunted. There were 80 (83.3%) children who received exclusive breastfeeding, 51 (53.1%) who received an appropriate frequency of meals, 78 (81.3%) who met the minimum dietary diversity, and 29 (30.2%) who had a minimum acceptable diet. Fisherβs exact test showed that dietary diversity was a significant factor for stunted children (p<0.001)
Work of art in the space of network culture: Creativity as bricolage
The development of modern informational-communication technologies has led to the occurrence of the new unique sociocultural phenomenon β a network culture, with irony as the dominating rhetoric. In the space of network culture, under digital technologies, the forms, types, and functions of art, and creativity in general, change. The paper states that communication becomes the main function of art, while a work of art more and more becomes an object of communication. The authors propose to broaden the volume of creativity conception, going beyond the classical interpretation towards a broader understanding of this phenomenon, namely, creativity as bricolage. The methodological basis of the bricolage model of creativity, relevant for the new media art, is the concept of βbricolageβ developed by Claude LΓ©vi-Strauss. Β© 2020 The Author(s). Published by VGTU Press.The film distribution confirms this point of view. By the 2019 data, the film Matilda became the most unprofitable film supported by the Cinema Foundation of Russia: βMatildaβs losses became a sort of a record β 550 million rublesβ (Zhitkova, 2018)
DESAIN DAN IMPLEMENTASI MANAGEMENT BANDWITH PADA VLAN FAKULTAS TEKNIK UNIVERSITAS PATTIMURA DENGAN ROUTER MIKROTIK CCR 1009G
Pembagian bandwith pada jaringan Internet Fakultas Teknik perlu ditata dengan baik agar penggunaanya lebih bermanfaat bagi para user maupun Fakultas Teknik dan lebih efisien dimanfaatkan. Jumlah user atau client pada Fakultas Teknik berjumlah Β±253 client yang dilihat berdasarkan IP Address yang tersedia serta total bandwith sebesar 40 Mbps. Untuk itu perlu dilakukan management bandwith untuk mendapatkan Interkonektivitas bandwith internet yang optimal. Penelitian ini mencoba untuk menganalisa QOS (Quality Of Services) dalam jaringan sebelum dan sesudah diatur ulang dengan menggunakan metode Queue Tree berbasis IP Address. Dengan menggunakan metode queue tree, transaksi packet data akan lebih terstruktur, karena packet data akan diarahkan berdsarkan sumber, hal ini ditujukan untuk mengurangi adanya antrian packet data atau traffic berlebih di dalam yang akan menyebabkan penundaan pengiriman paket data ke router dan jaringan yang dituju. Hasil dari pengaturan ulang jaringan dengan menggunakan VLAN dan QOS ( Quality Of Services) diperoleh interkonektivitas bandwith yang optimal yaitu 40 mbps dengan QOS sebagai berikut VLAN 1010 Throughput (96,4 %), Packet Loss (0%), Delay (0 ms) Jitter (0,505 ms),
VLAN 1212 Throughput (99,1%), Packet Loss (0%), Delay (1,8 ms) Jitter (1,242 ms), VLAN 1313 Throughput (95,2%), Packet Loss (0,2%), Delay (0 ms), dan Jitter (0 ms), sedangkan pada VLAN 1414 yaitu : Throughput (98,2%), Packet Loss (1,6%), Delay (0,8 ms), dan Jitter (0,080 ms)
R-Norm Information Measure with Applications in Multi Criteria Decision Making Technique under Intuitionistic Fuzzy Set Environment
The main aim of this research article is to define a new information measure for quantifying fuzziness in the intuitionistic fuzzy set environment. For this purpose, we present R-norm intuitionistic fuzzy measure that quantifies the amount of vagueness or fuzziness of a particular fuzzy set. We prove that this measure is a valid measure of intuitionistic fuzzy entropy by making it satisfy essential properties. Also, some mathematical properties are used to check the validation of the measure. In the end, a practical example of decision-making is illustrated in terms of Multi Criteria Decision Making problem that presents the application of the proposed measure
ΠΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ Ρ ΡΠΎΠ½ΠΊΠΎΠΏΡΠΎΠ²ΠΎΠ»ΠΎΡΠ½ΡΠΌΠΈ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ
Thermocouples dynamic characteristicsΚΌ prediction is one of the relevant directions in the field of dynamic measurements of non-stationary temperatures of liquid and gaseous media. Thermocouples dynamic characteristicsΚΌ prediction makes it possible to provide effective continuous correction in automatic control systems for non-stationary temperatures. The purpose of this paper was to develop a theoretically justified relation linking the current or expected time constant of fine-wire thermocouples with the known time constant established at known parameters of liquid and gaseous media.A formula linking the time constant of fine-wire thermocouples with the conditions of heat exchange with the measured medium and the thermophysical characteristics of the thermocouple sensing elements has been deducted. An approximate formula is also given for calculating the internal resistance of wire sensing elements of thermocouples, which must be considered when calculating the time constant of a thermocouple. In consideration of the obtained formulas, a multi-parameter relation linking the current or expected time constant of fine-wire thermocouples with the known time constant set at the known parameters of the measured media has been formed.It is suggested to simplify the formed multi-parameter relation and make it dependent, for example, on the βexpected velocity of the measured mediumβΓβexpected density of the measured mediumβ complex (Vm2βΟm2β). Simplified relations in the form of hyperbolic functions with constant parameters and argument in the form of Vm2βΟm2Β complex were obtained for airflowat different temperatures, pressures, and velocities.On the example of airflow, it is shown that the complex multi-parametric relation linking the expectedand known time constants of thermocouples can be simplified to a hyperbolic dependence, where the argument can be the Vm2βΟm2Β complex. Moreover, the degree of approximation of hyperbolic dependencies to the exact values of the multi-parametric relation can reach the R-square = 0.9592 criterion.A multi-parametric relation has been proposed. That relates the known time constant of a thermocouple to the expected or current time constant of the same thermocouple at other parameters of the measured medium from the point of view of the heat exchange and thermal conduction theory. The proposed relation can be used in automatic control systems of non-stationary temperature of various liquid or gaseous media to provide continuous correction of thermocouples dynamic characteristics. Depending on the number of measured medium parameters, the suggested multi-parameter relation can be replaced by simplified relations with other complexes containing, for example, density, velocity, flow rate and pressure of the measured medium.ΠΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ Π½Π΅ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΡΡ
ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡ ΠΆΠΈΠ΄ΠΊΠΈΡ
ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΡ
ΡΡΠ΅Π΄. ΠΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΡ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡ Π² ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π½Π΅ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΎΠΉ. Π¦Π΅Π»ΡΡ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ»Π°ΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ, ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π³ΠΎ ΡΠ΅ΠΊΡΡΡΡ ΠΈΠ»ΠΈ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠΎΠ½ΠΊΠΎΠΏΡΠΎΠ²ΠΎΠ»ΠΎΡΠ½ΡΡ
ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ, Ρ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΉ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΉ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΏΡΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΠΆΠΈΠ΄ΠΊΠΈΡ
ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΡ
ΡΡΠ΅Π΄.ΠΡΠ²Π΅Π΄Π΅Π½ΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅, ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π΅ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠΎΠ½ΠΊΠΎΠΏΡΠΎΠ²ΠΎΠ»ΠΎΡΠ½ΡΡ
ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ Ρ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌΠΈ ΡΠ΅ΠΏΠ»ΠΎΠΎΠ±ΠΌΠ΅Π½Π° Ρ ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅Π΄ΠΎΠΉ ΠΈ ΡΠ΅ΠΏΠ»ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ. ΠΠΎΠ»ΡΡΠ΅Π½Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΈΠ±Π»ΠΈΠΆΡΠ½Π½Π°Ρ ΡΠΎΡΠΌΡΠ»Π° Π΄Π»Ρ ΡΠ°ΡΡΡΡΠ° Π²Π½ΡΡΡΠ΅Π½Π½Π΅Π³ΠΎ ΡΠΎΠΏΡΠΎΡΠΈΠ²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ»ΠΎΡΠ½ΡΡ
ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ, ΠΊΠΎΡΠΎΡΠΎΠ΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ ΠΏΡΠΈ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΈ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΉ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠ΅ΡΠΌΠΎΠΏΠ°ΡΡ. Π‘ ΡΡΡΡΠΎΠΌ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅, ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π΅ ΡΠ΅ΠΊΡΡΡΡ ΠΈΠ»ΠΈ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠΎΠ½ΠΊΠΎΠΏΡΠΎΠ²ΠΎΠ»ΠΎΡΠ½ΡΡ
ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ, Ρ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΉ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΉ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΏΡΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΡΡ
ΡΡΠ΅Π΄.Π‘ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΡΠΏΡΠΎΡΡΠΈΡΡ ΠΈ ΡΠ΄Π΅Π»Π°ΡΡ Π·Π°Π²ΠΈΡΠΈΠΌΡΠΌ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΎΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Β«ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠ°Ρ ΡΠΊΠΎΡΠΎΡΡΡ ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅Π΄ΡβΓβΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠ°Ρ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅Π΄ΡΒ» (Vm2βΟm2β). ΠΠ»Ρ Π²ΠΎΠ·Π΄ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠΊΠ° ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ°Ρ
, Π΄Π°Π²Π»Π΅Π½ΠΈΠΈ ΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ ΡΠΏΡΠΎΡΡΠ½Π½ΡΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ Π² Π²ΠΈΠ΄Π΅ Π³ΠΈΠΏΠ΅ΡΠ±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ½ΠΊΡΠΈΠΉ Ρ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠΌΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΠΈ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠΌ Π² ΡΠΎΡΠΌΠ΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Vm2βΟm2.ΠΠ° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π²ΠΎΠ·Π΄ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠΊΠ° ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ»ΠΎΠΆΠ½ΠΎΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅,ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π΅ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡΡ ΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠ΅ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ, ΠΌΠΎΠΆΠ½ΠΎ ΡΠΏΡΠΎΡΡΠΈΡΡ Π΄ΠΎ Π³ΠΈΠΏΠ΅ΡΠ±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ, Π³Π΄Π΅ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠΎΠΌ ΠΌΠΎΠΆΠ΅Ρ Π²ΡΡΡΡΠΏΠΈΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ Vm2βΟm2. ΠΡΠΈΡΡΠΌ ΡΡΠ΅ΠΏΠ΅Π½Ρ ΠΏΡΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΡ Π³ΠΈΠΏΠ΅ΡΠ±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠ΅ΠΉ ΠΊ ΡΠΎΡΠ½ΡΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ Π΄ΠΎΡΡΠΈΠ³Π°ΡΡ ΠΏΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ R-square = 0.9592.ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΡΠΎΡΠ½ΠΎΠ΅ Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΡΠ΅ΠΎΡΠΈΠΈ ΡΠ΅ΠΏΠ»ΠΎΠΎΠ±ΠΌΠ΅Π½Π° ΠΈ ΡΠ΅ΠΏΠ»ΠΎΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΡΡΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅, ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΠ΅Π΅ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠ΅ΡΠΌΠΎΠΏΠ°ΡΡ Ρ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠΉ ΠΈΠ»ΠΈ ΡΠ΅ΠΊΡΡΠ΅ΠΉ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΉ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΡΠΎΠΉ ΠΆΠ΅ ΡΠ΅ΡΠΌΠΎΠΏΠ°ΡΡ ΠΏΡΠΈ ΠΈΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°Ρ
ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠΉ ΡΡΠ΅Π΄Ρ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΎ Π² ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π½Π΅ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΎΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΆΠΈΠ΄ΠΊΠΈΡ
ΠΈΠ»ΠΈ Π³Π°Π·ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΡ
ΡΡΠ΅Π΄ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠΉ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ΅ΡΠΌΠΎΠΏΠ°Ρ. Π Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠΈΡΠ»Π° ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΡΠ΅Π΄Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ Π·Π°ΠΌΠ΅Π½Π΅Π½ΠΎ ΡΠΏΡΠΎΡΡΠ½Π½ΡΠΌΠΈ ΠΈΠ·ΠΌΠ΅ΡΡΠ΅ΠΌΠΎΠΉ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡΠΌΠΈ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°ΠΌΠΈ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈΠΌΠΈ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ, ΡΠΊΠΎΡΠΎΡΡΡ, ΡΠ°ΡΡ
ΠΎΠ΄ ΠΈ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ ΡΡΠ΅Π΄Ρ
Noise resistance of stochastic image binding algorithms on the base of mutual information
Based on the mutual information of Shannon, Tsallis and Renyi, relay stochastic algorithms for image binding were synthesized and their stability and accuracy were studied
Dietary Quality and Comorbidities of Adults at Medical Risk for Diabetes
Background and aims: The current study evaluates following a special diet with diet quality and comorbidities (hypertension, hypercholesterolemia, and obesity) in four racial/ethnic groups diagnosed with prediabetes or βat risk for diabetesβ. Methods and results: This is a cross-sectional analysis of data from the National Health and Nutrition Examination Surveys (NHANES), 2007- 2008 and 2009-2010. Sample weights were used to achieve a representative sample. Data were available for N = 2666 adults, aged β₯20 years (508 Mexican American, 294, Other Hispanic, 616 Black non-Hispanic, and 1248 White non-Hispanic) who were medically diagnosed with either prediabetes or βat risk for diabetesβ. Those reporting following a special diet had greater odds of meeting saturated fat guidelines
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