scholarly journals Dynamic Monitoring of the Effect of a Special Kinesitherapeutic Program on Endurance of Flexor Trunk Muscles in Patients with Chronic Lumbalgy

JMED Research ◽  
2016 ◽  
pp. 1-10 ◽  
Author(s):  
Maria Vakrilova Becheva ◽  
Ekaterina Viteva ◽  
Nikoleta Traikova
Keyword(s):  
Trunk Muscles ◽  
Dynamic Monitoring

Estimation of EMG activity of trunk muscles in manual lifting tasks based on trunk dynamics using the fuzzy relational rule network

2003 ◽  
Author(s):  
Waldemar Karwowski ◽  
Adam Gaweda ◽  
William S. Marras ◽  
Kermit Davis ◽  
Jacek Zurada
Keyword(s):  
Trunk Muscles ◽  
Emg Activity ◽  
Manual Lifting

The dynamic monitoring of benefit/risk balance in the system of pharmacological control

2018 ◽  
Vol 26 (6) ◽  
Author(s):  
Milchakov K. S. ◽  
◽  
Kosagovskaya I. I. ◽  
Kobiyatskaya E. E. ◽  
Rosalieva Yu. Yu. ◽  
...  
Keyword(s):  
Dynamic Monitoring ◽  
Risk Balance ◽  
Pharmacological Control

Innovative approaches to operational treatment of women of reproductive eligibility age with hyperplastic processes of the endometrium

2016 ◽  
pp. 41-45
Author(s):  
V.N. Goncharenko ◽  
Keyword(s):  
Endometrial Hyperplasia ◽  
Histopathological Examination ◽  
Intraoperative Complications ◽  
Transvaginal Ultrasound ◽  
Treatment Algorithm ◽  
Hormone Treatment ◽  
Endometrial Ablation ◽  
Reproductive Age ◽  
Dynamic Monitoring ◽  
Atypical Form

The aim of the study: was improvement of results of surgical treatment of patients of reproductive age eligibility with hyperplastic processes of endometrium (HPE) through the introduction of individualized treatment algorithm with the use of monopolar radio wave and hysteroscopic endometrial ablation. Materials and methods. The study included 62 women with non-atypical form of hyperplasia of the endometrium who were treated at the Center of General gynecology of the clinical hospital «Feofania», gynecological Department at the city maternity hospital № 3 of Kyiv. Depending on the age group, nature of the pathological process and method of treatment is randomized, the distribution of women according to groups: group 1 – 41 women's reproductive eligibility age netipichnaya forms of endometrial hyperplasia (PHEBA and KGEB), who were subjected to hysteroscopic monopolar endometrial ablation; group 2 – 21 female reproductive eligibility age netipichnaya forms of endometrial hyperplasia (PHEBA and KGEB), which was held radiowave ablation of the endometrium (RHAE). In the 1st group the age of patients ranged from 42 to 54 years, mean age was 49.9±4.7 years. In the 2nd group the age of patients ranged from 41 to 53 years, mean age of 51.6±4.3 years. Results. A comparative analysis of the techniques for hysteroscopic monopolar ablation and RHEE showed the fact that for RHEE used local anesthesia, while carrying out hysteroscopic monopolar ablation was necessary intravenous anesthesia. The duration of the hysteroscopic monopolar endometrial ablation was 28.6±5.5 min, RAE – according to the standard method – 44.3±0.3 min. When performing hysteroscopic monopolar endometrial ablation in 2 patients (3.7%) patients observed the signs of intravasation of fluid, increased blood pressure and tachycardia. This syndrome was successfully docked, but in the future, women have conducted a thorough examination. When you run RHAE intraoperative complications have been identified. Conclusion. 1. Women with netipichnaya forms of endometrial hyperplasia eligibility and late reproductive age who do not have reproductive plans as an alternative to hysterectomy, in the presence of contraindications or ineffectiveness of hormone treatment may be recommended or radiowave monopolar hysteroscopic ablation of the endometrium. 2. Monopolar hysteroscopic endometrial ablation is indicated for women with netipichnaya forms of endometrial hyperplasia, can be used in the presence of submucous form of uterine fibroids, postoperative scars on the uterus, but in the absence of adenomyosis II–III degree. The effectiveness of monopolar hysteroscopic endometrial ablation in women with non-atypical form of hyperplasia of the endometrium is 87.8%. 3. Women after endometrial ablation should be under observation for two years. The method of choice for dynamic monitoring of the condition of the uterus in women who underwent endometrial ablation is transvaginal ultrasound which should be performed after 1, 3, 6, 12 and 24 months of follow up. 4. In case of recurrence of hyperplastic process of the endometrium (bleeding, thickening of the M-mode echo according to the ultrasound) shows a hysteroscopy with a mandatory histopathological examination and verification of the diagnosis. Key words: endometrial hyperplasia, women eligibility age, women of reproductive age, ablation of the endometrium.

DYNAMIC MONITORING IN ANTI-CRISIS MANAGEMENT OF STATE ECONOMIC SECURITY

2017 ◽  
pp. 108-111
Author(s):  
Ruslan Savenko
Keyword(s):  
Social Security ◽  
Crisis Management ◽  
Management System ◽  
Economic Security ◽  
Dynamic Monitoring ◽  
Systematic Observation ◽  
Management Decisions ◽  
Ecological Economic ◽  
Efficient Management ◽  
Research Institute

UDC 6585:330   Savenko Ruslan, doctor of sciences, professor. Poltava national technical Yuri Kondratyuk university. Dynamic monitoring in anti-crisis management of state economic security. This paper aimed at the problem of improvement the management system of economic security of natural use objects on a regional level using the organized digital dynamic monitoring for informational provision and justifying the options of efficient management decisions of operative and strategic importance by criteria of ecological, economic and social security. Monitoring of the regional (territorial) natural objects provides constant systematic observation of the processes that take place inside of a “region-state” system and at world’s natural resources market. It needed to create the informational database for efficient management of a nature-use system. We suggest plan of making the scientific and research institute in PoltNTU for conducting investigations based on continuous informational monitoring. Keywords: monitoring, management system, ecological-economic-social security, natural use resources, algorithm, scientific and research institute, management decisions.

Challenges in the differential diagnosis of multiple endocrine neoplasia syndrome type 1 with isolated family hyperparathyroidism

2020 ◽  
Vol 98 (3) ◽  
pp. 218-225
Author(s):  
J. A. Krupinova ◽  
N. G. Mokrysheva ◽  
N. Y. Kalinchenko ◽  
A. K. Eremkina ◽  
A. N. Polyakov ◽  
...  
Keyword(s):  
Multiple Endocrine Neoplasia ◽  
Molecular Genetic ◽  
Pancreatic Neuroendocrine Tumor ◽  
Family Type ◽  
Dynamic Monitoring ◽  
Heterozygous Mutation ◽  
Molecular Genetic Study ◽  
Men 1 ◽  
Endocrine Neoplasia

Multiple endocrine neoplasia type 1 (MEN-1) is the most common cause of the hereditary type of primary hyperparathyroidism (PHPT). If a family type of PHPT is suspected, a dynamic monitoring of patients and their close relatives should be carried out throughout their lives. We present a clinical case of a family in which four members of a pedigree were diagnosed with familial isolated hyperparathyroidism (FIHP). The diagnosis was changed to MEN-1, because it appeared that one of the patients had pancreatic neuroendocrine tumor. Molecular genetic study of MEN1 by direct by means of Sanger sequencing revealed that six family members had a new heterozygous mutation in exon 9: s. 1252 G> T p. D418Y.

SYSTEM FOR DYNAMIC MONITORING AND WARNING IN CASE OF ECOLOGICAL RISK FOR SURFACE WATERS

2014 ◽  
Vol 13 (7) ◽  
pp. 1757-1764
Author(s):  
Constantin Vilcu ◽  
Gheorghe Voicu ◽  
Gigel Paraschiv ◽  
Emilia Sofia Manole ◽  
Carol Lehr ◽  
...  
Keyword(s):  
Ecological Risk ◽  
Surface Waters ◽  
Dynamic Monitoring

Dynamic monitoring of changes in medical and demographic indicators in the Republic of Sakha (Yakutia) from 1998 to 2018

2020 ◽  
pp. 33-36
Keyword(s):  
Mortality Rate ◽  
Population Growth ◽  
Russian Federation ◽  
Rural Population ◽  
Urban Population ◽  
Birth Rate ◽  
Dynamic Monitoring ◽  
Demographic Indicators ◽  
The Russian Federation ◽  
The Republic

We studied the medical and demographic indicators in the Republic of Sakha (Yakutia) for the last 20 years (1998–2018). A decrease in the population by 4,7 % (р<0,01) was revealed in the Russian Federation in the period 1998–2008, 3,4 % decrease, followed by its growth by 2,8 % (р<0,01); a decrease in the number of rural population in the republic and an increase in the urban population were observed. By the beginning of 2019, in comparison with the 2003 data, an increase in the population by 1.9% (р<0,01), a decrease in the number of able-bodied people in the Republic of Sakha (Yakutia) at the beginning of 2019, as compared to 1998, were revealed, by 8,2 %, in the Russian Federation – by 4,7 % (р<0,01). In the Republic of Sakha (Yakutia) the birth rate remains high, the mortality rate is relatively low, and the natural population growth is maintained.

scholarly journals Identifying the Branch of Kiwifruit Based on Unmanned Aerial Vehicle (UAV) Images Using Deep Learning Method

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4442
Author(s):  
Zijie Niu ◽  
Juntao Deng ◽  
Xu Zhang ◽  
Jun Zhang ◽  
Shijia Pan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Unmanned Aerial Vehicle ◽  
Semantic Segmentation ◽  
Dynamic Monitoring ◽  
Support Vector ◽  
Distribution Maps ◽  
Time Operation ◽  
Aerial Vehicle ◽  
Uav Images ◽  
Segmentation Image

It is important to obtain accurate information about kiwifruit vines to monitoring their physiological states and undertake precise orchard operations. However, because vines are small and cling to trellises, and have branches laying on the ground, numerous challenges exist in the acquisition of accurate data for kiwifruit vines. In this paper, a kiwifruit canopy distribution prediction model is proposed on the basis of low-altitude unmanned aerial vehicle (UAV) images and deep learning techniques. First, the location of the kiwifruit plants and vine distribution are extracted from high-precision images collected by UAV. The canopy gradient distribution maps with different noise reduction and distribution effects are generated by modifying the threshold and sampling size using the resampling normalization method. The results showed that the accuracies of the vine segmentation using PSPnet, support vector machine, and random forest classification were 71.2%, 85.8%, and 75.26%, respectively. However, the segmentation image obtained using depth semantic segmentation had a higher signal-to-noise ratio and was closer to the real situation. The average intersection over union of the deep semantic segmentation was more than or equal to 80% in distribution maps, whereas, in traditional machine learning, the average intersection was between 20% and 60%. This indicates the proposed model can quickly extract the vine distribution and plant position, and is thus able to perform dynamic monitoring of orchards to provide real-time operation guidance.

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