A Consistent Deep Registration Network with Group Data Modeling

The Aim of this study was to determine Immunogenetic expression of Toll-like receptor gene clusters related to prostatitis, to give acknowledge about Role of TLR in prostatitis immunity in men from Basrah and Maysan provinces. A case–control study included 135 confirmed prostatitis patients And 50 persons as a control group. Data about age, marital status, working, infertility, family history and personal information like (Infection, Allergy, Steroid therapy, Residency, Smoking, Alcohol Drinking, Blood group, Body max index (BMI) and the clinical finding for all patients of Prostatitis were collected. This study shows the effect of PSA level in patients with prostatitis and control group, with P-value <0.0001 therefore the study shows a positive significant between elevated PSA levels and Prostatitis.

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Agile Development with 3D Data Modeling

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v10i6.6238 ◽

2015 ◽

Vol 10 (6) ◽

pp. 558 ◽

Cited By ~ 1

Author(s):

Kristian Sestak ◽

Zdenek Havlice

Keyword(s):

Data Modeling ◽

Agile Development ◽

3D Data

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Aggregate Key Searchable Encryption: A Technique for Group Data Sharing on Cloud

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i3/0145 ◽

2017 ◽

Vol 7 (3) ◽

pp. 97-104

Author(s):

Ajay Gawade ◽

◽

Rashmi Dhumal ◽

Keyword(s):

Data Sharing ◽

Searchable Encryption ◽

Group Data

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PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

Jurnal Penelitian Agama ◽

10.24090/jpa.v18i2.2017.pp302-322 ◽

2017 ◽

Vol 18 (2) ◽

pp. 302-322

Author(s):

Fajar Hardoyono

Keyword(s):

Sensor Array ◽

Principal Component ◽

Metal Oxide Semiconductor ◽

Oxide Semiconductor ◽

Response Patterns ◽

Data Recording ◽

Analysis Method ◽

Sample Group ◽

Array Pattern ◽

Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

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Combining First-Principles and Data Modeling for the Accurate Prediction of the Refractive Index of Organic Polymers

10.26434/chemrxiv.5446564 ◽

2017 ◽

Author(s):

Mohammad Atif Faiz Afzal ◽

Chong Cheng ◽

Johannes Hachmann

Keyword(s):

First Principles ◽

Data Modeling ◽

Accurate Prediction ◽

Index Of Refraction ◽

Structure Theory ◽

Organic Polymers ◽

Number Density ◽

Lorenz Equation ◽

In Silico Studies ◽

Wide Range

Organic materials with a high index of refraction (RI) are attracting considerable interest due to their potential application in optic and optoelectronic devices. However, most of these applications require an RI value of 1.7 or larger, while typical carbon-based polymers only exhibit values in the range of 1.3–1.5. This paper introduces an efficient computational protocol for the accurate prediction of RI values in polymers to facilitate in silico studies that an guide the discovery and design of next-generation high-RI materials. Our protocol is based on the Lorentz-Lorenz equation and is parametrized by the polarizability and number density values of a given candidate compound. In the proposed scheme, we compute the former using first-principles electronic structure theory and the latter using an approximation based on van der Waals volumes. The critical parameter in the number density approximation is the packing fraction of the bulk polymer, for which we have devised a machine learning model. We demonstrate the performance of the proposed RI protocol by testing its predictions against the experimentally known RI values of 112 optical polymers. Our approach to combine first-principles and data modeling emerges as both a successful and highly economical path to determining the RI values for a wide range of organic polymers.

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The Effect of Reflexology on Labor Pain and Length Among Primiparous Women: A Randomized Controlled Trial

International Electronic Journal of Medicine ◽

10.31661/iejm805 ◽

2018 ◽

Vol 7 ◽

Author(s):

Azita Kamjoo

Keyword(s):

Controlled Trial ◽

Intervention Group ◽

Active Phase ◽

Labor Pain ◽

Control Group ◽

Singleton Pregnancy ◽

Group Data ◽

Significant Difference ◽

Labor Length ◽

Primiparous Women

Background: Pain control is considered as the key issue in modern midwifery. Along with medical painkillers, reflexology is viewed as a non-medical and noninvasive method. Hence, we aimed to investigate the effect of reflexology on the intensity of pain and length of labor. Materials and Methods: In this clinical trial, participants included 240 Iranian primiparous women with term and singleton pregnancy. Having a 3-4 cm cervical dilatation once they visited the hospital. Through a convenient sampling method, they were selected and then randomly divided into two groups. In the intervention group, reflexology was performed, and the intensity of pain during the active phase of labor along with the length of labor in the active phase was measured by visual analog scale (VAS) and compared with the control group. Data were analyzed using descriptive statistics, t-test, and Mann-Whitney U-test. Result: Data analysis showed a statistically significant difference between the intensity of pain in the 5-7 and 8-10 cm dilatation in the two groups (P=0.01). Moreover, the labor length in the active phase was found to be significantly shorter in the intervention group (P<0.001). Conclusion: It appears that reflexology can lead to a reduction in the pain and length of labor. Therefore, through instructing this technique, a goal of midwifery, which is reducing labor pain and its length can be achieved. Keywords: Reflexology, Labor Pain, Labor Length, Primiparous Women

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METHOD FOR SYNTHESIS OF CONCEPTUAL DATA MODELS BASED ON PROCESS DOMAIN MODELS

СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ◽

10.36622/vstu.2020.75.23.019 ◽

2020 ◽

pp. 80-87

Author(s):

С.И. Рябухин

Keyword(s):

Data Modeling ◽

Database Design ◽

Data Models ◽

Process Models ◽

Domain Models ◽

Conceptual Data

Процессные модели предметной области широко применяются при проектировании баз данных, а именно в ходе концептуального моделирования данных. Предлагается решение проблемы неоднозначности преобразования процессных доменных моделей типа SADT в концептуальные модели данных. Domain process models are widely used in database design, namely in conceptual data modeling. The solution of the problem of ambiguity of transformation of process domain models of the SADT type into conceptual data models is proposed.

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