scholarly journals INFLUENCE OF SURFAGON INJECTIONS ON BIOCHEMICAL COMPOSITION OF BLOOD AND STRUCTURAL TRANSFORMATIONS OF OVARIES IN HYBRID FEMALES OF RUSSIAN STURGEON × LENA STURGEON (ACIPENSER GUELDENSTAEDTII BRANDT, 1833 × ACIPENSER BAERII BRANDT, 1869) IN RECIRCULATED AQUACULTURE SYSTEMS

2018 ◽  
pp. 117-131
Author(s):  
Marina Nikolaevna Sorokina ◽  
Petr Petrovich Geraskin ◽  
Vadim Grigoriev ◽  
Anisia Victorovna Dubovskaya ◽  
Olga Aleksandrovna Levina ◽  
...  
Keyword(s):  
Structural Transformations ◽  
Synthetic Analog ◽  
Acipenser Baerii ◽  
Hormonal Stimulation ◽  
Low Level ◽  
Modifying Factors ◽  
Acipenser Gueldenstaedtii ◽  
Biochemical Status ◽  
High Level ◽  
And Control

The article focuses on the special trend in technology of fish reproduction - use of a recirculated aquaculture system that allows creating optimum hydrological and hydrochemical parameters for a certain fish species regardless of the environmental conditions. Nevertheless, in the course of developing the new modifying factors of the environment (simulated conditions) the common orientation of a metabolism or separate biochemical reactions, in particular, generative exchange can be broken. It has been stated that dynamics of biochemical indexes of blood and urine characterizes intensity and orientation of generative exchange and allows to estimate possibility of structural transformations of fish ovaries. The analysis of the influence of a synthetic analog of hormone luliberin - surfagon on hybrid females of Russian × Lena sturgeon ( Acipenser guldenstadtii Brandt, 1833 × Аcipenser baerii Brandt , 1869) characterized by low fatness has revealed the stimulation of metabolic processes. During the research a low level of protein (16.0-28.0 g/l) under the influence of surfagon has increased by 35.0-38.0%. At the same time, throughout all experiment a high level of beta lipoproteins was observed in fishes of both pilot and control groups. Under the preparation impact the level of beta lipoproteins increased by 58.0% and 61.0% after injecting 0.2 mkg/kg and 2.0 mkg/kg of surfagon, respectively. The similar tendency was observed in the course of study of the hormones predecessor - cholesterol. Under the influence of surfagon in various doses there has been registered its increase from 1.3 g/l to 2.2-2.3 g/l. Thus, the surfagon injected groups of fish demonstrated a particular type of the biochemical status and reacted to hormonal stimulation under the low level of financial and energy resources. At the same time, histologic research hasn’t revealed cardinal changes in gonad morphology.

Powered Ankle-Foot Prostheses: A Survey on Sensing Systems and Control Strategies

2019 ◽  
Author(s):  
Erik Chumacero-Polanco ◽  
James Yang
Keyword(s):  
Control Strategies ◽  
Level Control ◽  
Low Level ◽  
Kinetic Information ◽  
Sensing Systems ◽  
Systems And Control ◽  
Finite State ◽  
High Level ◽  
And Control

Abstract People who have suffered a transtibial amputation show diminished ambulation and impaired quality of life. Powered ankle foot prostheses (AFP) are used to recover some mobility of transtibial amputees (TTAs). Powered AFP is an emerging technology that has great potential to improve the quality of life of TTAs with important avenues for research and development in different fields. This paper presents a survey on sensing systems and control strategies applied to powered AFPs. Sensing kinematic and kinetic information in powered AFPs is critical for control. Ankle angle position is commonly obtained via potentiometers and encoders directly installed on the joint, velocities can be estimated using numerical differentiators, and accelerations are normally obtained via inertial measurement units (IMUs). On the other hand, kinetic information is usually obtained via strain gauges and torque sensors. On the other hand, control strategies are classified as high- and low-level control. The high-level control sets the torque or position references based on pattern generators, user’s intent of motion recognition, or finite-state machine. The low-level control usually consists of linear controllers that drive the ankle’s joint position, velocity, or torque to follow an imposed reference signal. The most widely used control strategy is the one based on finite-state machines for the high-level control combined with a proportional-derivative torque control for low-level. Most designs have been experimentally assessed with acceptable results in terms of walking speed. However, some drawbacks related to powered AFP’s weight and autonomy remain to be overcome. Future research should be focused on reducing powered AFP size and weight, increasing energy efficiency, and improving both the high- and the low-level controllers in terms of efficiency and performance.

scholarly journals Development of a Low-Level Control System for the ROV Visor3

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Santiago Rúa ◽  
Rafael E. Vásquez
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Nonlinear Observer ◽  
Navigation Systems ◽  
Level Control ◽  
Remotely Operated Vehicle ◽  
Low Level ◽  
Level Control System ◽  
High Level ◽  
And Control

This paper addresses the development of the simulation of the low-level control system for the underwater remotely operated vehicle Visor3. The 6-DOF mathematical model of Visor3 is presented using two coordinated systems: Earth-fixed and body-fixed frames. The navigation, guidance, and control (NGC) structure is divided into three layers: the high level or the mission planner; the mid-level or the path planner; and the low level formed by the navigation and control systems. The nonlinear model-based observer is developed using the extended Kalman filter (EKF) which uses the linearization of the model to estimate the current state. The behavior of the observer is verified through simulations using Simulink®. An experiment was conducted with a trajectory that describes changes in the x and y and yaw components. To accomplish this task, two algorithms are compared: a multiloop PID and PID with gravity compensation. These controllers and the nonlinear observer are tested using the 6-DOF mathematical model of Visor3. The control and navigation systems are a fundamental part of the low-level control system that will allow Visor3’s operators to take advantage of more advanced vehicle’s capabilities during inspection tasks of port facilities, hydroelectric dams, and oceanographic research.

scholarly journals Analysis of the Microsatellite Variation in the Common Hybrid Between Russian Sturgeon (Acipenser Gueldenstaedtii Brandt and Ratzeburg, 1833) and Siberian Sturgeon (Acipenser Baerii Brandt, 1869) from Aquaculture

2013 ◽  
Vol 15 (2) ◽  
pp. 117-124
Author(s):  
Sergiu Georgescu ◽  
Oana Canareica ◽  
Andreea Dudu ◽  
Marieta Costache
Keyword(s):  
Microsatellite Loci ◽  
Common Species ◽  
Nuclear Markers ◽  
Microsatellite Variation ◽  
Acipenser Baerii ◽  
Entire Genome ◽  
Acipenser Gueldenstaedtii ◽  
The Common ◽  
High Level ◽  
Individual Locus

ABSTRACT Sturgeons such as Acipenser baerii and Acipenser gueldenstaedtii are the most common species farm raised worldwide in aquaculture, because of the dwindling natural sources of caviar and meat. Also, these species can easily participate in the formation of an intraspecific hybrid with a great potential for growth in aquaculture. Microsatellites are nuclear markers consisting of short repetitive sequence, dispersed across the entire genome with characteristics such as relatively small size and high level of polymorphism. The aims of the present study were to optimize a protocol for microsatellite multiplexing and analysis of genetic diversity in hybrid sturgeons farmed in Romania. Genomic DNA was isolated from fins, and four pairs of primers were designed to amplify microsatellite loci: LS 19, LS 68, Aox 9, and Aox 45. Amplification of the microsatellite loci was carried out in one 3-Plex reaction for LS 19, LS 68, and Aox 9, and monoplex reaction for Aox 45. For an individual locus we obtained four alleles for Aox 45, eleven alleles for Aox 9, six alleles for LS 68, and eight alleles for LS 19. The results will be applied to test the broodstocks at Romanian hatcheries and to increase the efficiency of breeding.

scholarly journals The Intelligent Platform of Autonomous Learning in Post-Secondary Education

2021 ◽  
Vol 15 (10) ◽  
pp. 49
Author(s):  
Vadim Samusenkov ◽  
Vladimir Klyushin ◽  
Valeriy Prasolov ◽  
Konstantin Sokolovskiy
Keyword(s):  
Secondary Education ◽  
Total Sample ◽  
Autonomous Learning ◽  
Post Secondary Education ◽  
Post Secondary ◽  
Low Level ◽  
Learning Platform ◽  
High Level ◽  
Study Participants ◽  
And Control

The aim of the study was to develop and test the effectiveness of an autonomous learning intelligent platform in post-secondary education. It was conducted on the basis of the Institute of Dentistry named after E.V. Borovsky in I.M. Sechenov First Moscow State Medical University (Moscow, Russia) and Humanitarian and technical academy (Kokshetau, Kazakhstan). This research involved 59 teachers and 390 students, who comprised the total sample of 449 respondents. The experiment consisted of three stages – introductory, experimental, and final. The introductory stage included the distribution of enrolled students into the experimental and control groups. Besides, at the introductory stage, the development of questionnaires directed at identifying students’ and teachers’ readiness to implement autonomous learning was performed. Apart from this, the involved educators were required to fill the learning platform with predetermined training content. The considered intelligent learning platform was developed by programmers by prior agreement with educational institutions under study. The experimental stage was aimed at introducing the designed model of autonomous learning based on the created intelligent platform. The final stage implied surveying of all study participants according to the developed questionnaires. After the introduction of the created autonomous learning model, it was revealed that 51.5% of enrolled teachers were ready for self-directed education at a high level, 20.4% – at a satisfactory level, 18.4% – at a moderate level, and 9.7% – at a low level. Among the students of Sechenov University, 21% of respondents had a high level of readiness for autonomous learning based on intelligent platforms, 27% of students had a sufficient level, 35% – moderate, and 17% – low. Among the Humanitarian and technical academy students, 29% had a high readiness for autonomous learning, 30% were ready at a sufficient level, 25% at a moderate, and 16% at a low level. This study provided an opportunity to use the developed questionnaires and the model of autonomous learning in post-secondary education for further research on the implementation of self-directed training.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

Determinants of Abuse of the Bodies of the Dead

2019 ◽  
pp. 71-77
Author(s):  
Margarita Khomyakova
Keyword(s):  
Low Income ◽  
Criminal Code ◽  
Value Judgments ◽  
Legal Norms ◽  
Low Level ◽  
Medical Institutions ◽  
Specific Object ◽  
The Subject ◽  
The Dead ◽  
High Level

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.

Nature and Origin of Micropollutants

1982 ◽  
Vol 14 (12) ◽  
pp. 5-14 ◽  
Author(s):  
D Mackay
Keyword(s):  
Adverse Effects ◽  
Toxicity Data ◽  
Low Level ◽  
Environmental Models ◽  
Toxic Event ◽  
And Control

The origins of “micropollutants” are discussed and classified. It is suggested that assessing the risk and ensuring an acceptably low level of adverse effects from these substances requires information or control of three factors (exposure, toxicity and characteristics of the victim or organism) which combine to generate the toxic event. Methods of estimating exposure are discussed, especially environmental models. Ultimately, it should be possible to couple these models to toxicity data in a rational, rigorous manner to elucidate the extent of risk and control it to acceptable levels.

Non-Communicable Diseases and Global Health Politics

2019 ◽  
pp. 626-659
Author(s):  
Roger Magnusson
Keyword(s):  
Respiratory Diseases ◽  
Communicable Diseases ◽  
World Health ◽  
Global Response ◽  
Non Communicable Diseases ◽  
Health Politics ◽  
Chronic Respiratory Diseases ◽  
Health Organization ◽  
High Level ◽  
And Control

Non-communicable diseases (NCDs), including cardiovascular disease, cancer, chronic respiratory diseases, and diabetes, are responsible for around 70 percent of global deaths each year. This chapter describes how NCDs have become prevalent and critically evaluates global efforts to address NCDs and their risk factors, with a particular focus on the World Health Organization (WHO) and United Nations (UN) system. It explores the factors that have prevented those addressing NCDs from achieving access to resources and a priority commensurate with their impact on people’s lives. The chapter evaluates the global response to NCDs both prior to and since the UN High-Level Meeting on Prevention and Control of Non-communicable Diseases, held in 2011, and considers opportunities for strengthening that response in future.

scholarly journals Boundaryless working hours and recovery in Germany

2021 ◽  
Author(s):  
Laura Vieten ◽  
Anne Marit Wöhrmann ◽  
Alexandra Michel
Keyword(s):  
Working Hours ◽  
Working Time ◽  
Overtime Work ◽  
Psychological Detachment ◽  
Representative Study ◽  
Flexible Working ◽  
Recovery Experiences ◽  
High Level ◽  
And Control ◽  
Extended Work

Abstract Objective Due to recent trends such as globalization and digitalization, more and more employees tend to have flexible working time arrangements, including boundaryless working hours. The aim of this study was to investigate the relationships of various aspects of boundaryless working hours (overtime, Sunday work, and extended work availability) with employees’ state of recovery. Besides, we examined the mediating and moderating role of recovery experiences (psychological detachment, relaxation, mastery, and control) in these relationships. Methods We used data from 8586 employees (48% women; average age of 48 years) who took part in the 2017 BAuA-Working Time Survey, a representative study of the German working population. Regression analyses were conducted to test main effects as well as mediation and moderation. Results Overtime work, Sunday work, and extended work availability were negatively related to state of recovery. Psychological detachment mediated these relationships. Furthermore, we found that relaxation and control mediated the association between extended work availability and state of recovery. However, no relevant moderating effects were found. Conclusions Altogether, our findings indicate that various aspects of boundaryless working hours pose a risk to employees’ state of recovery and that especially psychological detachment is a potential mechanism in these relationships. In addition, the results suggest that a high level of recovery experiences cannot attenuate these negative relationships in leisure time. Therefore, employers and employees alike should try to avoid or minimize boundaryless working hours.

scholarly journals EXPRESS: Marketers Project Their Personal Preferences onto Consumers: Overcoming the Threat of Egocentric Decision Making

2021 ◽  
pp. 002224372199837
Author(s):  
Walter Herzog ◽  
Johannes D. Hattula ◽  
Darren W. Dahl
Keyword(s):  
Decision Making ◽  
Consumer Preferences ◽  
Research Question ◽  
Pilot Studies ◽  
Low Level ◽  
Marketing Managers ◽  
False Consensus Effect ◽  
False Consensus ◽  
High Level

This research explores how marketing managers can avoid the so-called false consensus effect—the egocentric tendency to project personal preferences onto consumers. Two pilot studies were conducted to provide evidence for the managerial importance of this research question and to explore how marketing managers attempt to avoid false consensus effects in practice. The results suggest that the debiasing tactic most frequently used by marketers is to suppress their personal preferences when predicting consumer preferences. Four subsequent studies show that, ironically, this debiasing tactic can backfire and increase managers’ susceptibility to the false consensus effect. Specifically, the results suggest that these backfire effects are most likely to occur for managers with a low level of preference certainty. In contrast, the results imply that preference suppression does not backfire but instead decreases false consensus effects for managers with a high level of preference certainty. Finally, the studies explore the mechanism behind these results and show how managers can ultimately avoid false consensus effects—regardless of their level of preference certainty and without risking backfire effects.

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