Development of multispectral optoelectronic system 19ТVА-001 for system 3М47-01

The developed optoelectronic system can be used for detecting a wide range of aircraft. Its performance is based on classical methods of optical detection as well as on non-standard solutions. To determine the product capabilities and meet the customer’s requirements, we conducted simulation modelling of the feasibility of proposed solutions at the development stage. The results of field tests and sea trials promise quite accurate prediction of the system’s performance outcome.

Trustworthy performance evaluations: The Performance Outcome Scoring Template (POS-T) for transparent assessments in real-world programs

In applied program settings, such as in natural environment control and education, performance evaluation is usually conducted by evaluators considering both self-comparison and comparison with peers. We have developed the Performance Outcome Scoring Template (POS-T) for assessments with high face-validity in these settings. POS-T puts achievements of individuals or groups in context, i.e. the resulting performance outcome score (POS) reflects a meaningful measure of performance magnitude with regards to internal and external comparisons. Development of a POS is performed in four steps supported by a statistical framework. Software is supplied for creation of scoring applications in different performance evaluation settings. We demonstrate the POS-T by evaluation of CO2 emissions reduction amongst 36 OECD member countries.

Mechanical Interaction Within Badminton Forehand Shot Technique: A Review Paper

Background: The performance outcome model in qualitative technique analysis can determine the mechanical interactions between a performance outcome and the factors that yield such results in sports techniques. Very little attention has been received for badminton forehand shots for such model work, considering the significance of this technical skill as fundamental to play badminton and as important offensive shots. Objective: This study proposes a performance outcome model that associates performance criteria and relevant mechanical variables in the badminton forehand shot technique. Methods: Literature review provided the basis of model development. The Literature research in this paper was conducted in the following databases; PubMed, ScienceDirect, Google Scholar Medline, Pedro, and Cinahl. An additional search (including relevant grey literature) was also done on the internet through ResearchGate. Relevant literature research related to the keywords such as biomechanics of badminton, badminton forehand shot, biomechanical analysis, badminton performance, racquet sports, performance indicators, technique analysis and technique models were included and reviewed. Results: The results managed to present a synthesis of the literature review and provided constructive discussions as a basis to propose a performance outcome model that illustrates mechanical interactions that contribute to badminton forehand and shot technique performance. Conclusions: This model manages to find mechanical relationships and allows for a better grasp of understanding the association between performance criteria and mechanics in the badminton forehand shot technique, which is bases on the kinetic chain principle through the body segmental coordination.

Effectiveness Of Overuse Injury Prevention Programs On Upper Extremity Performance In Overhead Youth Athletes: A Systematic Review

Background Youth athletes in single hand overhead sport are at risk of upper extremity overuse injuries due to musculoskeletal immaturity, repetitive actions and stress overload. While several upper extremity injury prevention programs have been developed, the effectiveness of upper extremity injury prevention programs on performance outcome measures in overhead youth athletes has not been investigated. This study critically evaluated the effectiveness of existing upper extremity injury prevention programs on performance outcome measures in overhead youth athletes and identified and categorized the training components of these programs.Methods A systematic search was conducted in PubMed, Physiotherapy Evidence Database (PEDro), SPORTDiscus (via EBSCOhost), ScienceDirect, and Web of Science. The inclusion criteria were youth athletes with full participation in throwing or striking sports; the intervention utilized training programs or exercises; control group performed usual training or sham exercises; reported at least one performance outcome measure; and utilized either randomized controlled trials, cluster-randomized controlled trials, or non-randomized controlled trials. Studies had to be published in the English language and within the last two decades. Methodological quality was assessed based on the PEDro Scale. Results Five studies, with a total of 456 youth athletes (age range 10.2-17.1 years) were included. The average PEDro score was 6.6. The effectiveness of the injury prevention programs on the identified performance outcome measures of strength, mobility, and sport-specific measures (ball speed and serve accuracy) were 30.4%, 28.6%, and 22.2%, respectively. The training components targeted were categorized as strength, mobility, and plyometrics. Strength was the most common training component and the most widely investigated performance outcome measure among existing upper extremity injury prevention programs. ConclusionCurrent injury prevention programs have a modest effect on sport performance outcome measures. Future upper extremity injury prevention programs should include training components of strength, mobility and plyometrics in their design given their moderate effects on strength, mobility, and sport-specific outcome measures. Standardized protocols are required for injury prevention program characteristics, and measurement and reporting of performance outcomes measures.

Genetic Depletion of BDNF Impairs Extinction Learning of a Spatial Appetitive Task in the Presence or Absence of the Acquisition Context

Brain derived neurotropic factor (BDNF) supports neuronal survival, growth, and differentiation and is involved in forms of hippocampus-dependent and independent learning, as well as hippocampus-dependent learning. Extinction learning comprises active inhibition of no-longer relevant learned information, in conjunction with a decreased response of a previously learned behavior. It is highly dependent on context, and evidence exists that it requires hippocampal activation. The participation of BDNF in memory processing is experience-dependent. For example, BDNF has been associated with synaptic plasticity needed for spatial learning, and it is involved in acquisition and extinction learning of fear conditioning. However, little is known about its role in spatial appetitive extinction learning. In this study, we evaluated to what extent BDNF contributes to spatial appetitive extinction learning in the presence (ABA) or absence (AAA) of exposure to the acquisition context. Daily training, of BDNF+/−-mice or their wildtype (WT) littermates, to reach acquisition criterion in a T-maze, resulted in a similar performance outcome. However, extinction learning was delayed in the AAA, and impaired in the ABA-paradigm compared to performance in WT littermates. Trial-by-trial learning analysis indicated differences in the integration of the context into extinction learning by BDNF+/−-mice compared to WT littermates. Taken together, these results support an important role for BDNF in processes that relate to information updating and retrieval that in turn are crucial for effective extinction learning.

Quality factors and performance outcome of cloud-based marketing system

Purpose This study aims to propose an integrated model based on the DeLone and McLean Information System Success Model (DMISS) to examine whether quality factors (system, service and information) can affect user satisfaction and performance of cloud-based marketing systems. Design/methodology/approach Recently, technologies change quickly, innovation becomes a vital base of productivity and sustainable growth of businesses is widely accepted. Cyber-physical system technologies help industries change production and marketing cycles according to customers’ needs in real-time. In addition, processing information through cloud service helps companies meet customer needs. The advantages of cloud technology also make it easier for companies to quickly collect the latest data from various sources, making it more effective in decision-making. This research recommends cloud-based marketing to help companies maximize their revenue by providing useful information and better quality for business development. The data were gathered from China automotive companies’ customers. A total of 220 questionnaires were distributed, and 165 (82.5%) usable questionnaires were analyzed using structural equation modeling. Findings This study verified that costumers’ perceived information quality, system quality and service quality positively caused the user satisfaction in the cloud-based marketing system. Practical implications This paper presents beneficial advice for improving cloud-based marketing systems. Besides, the topic is relevant to cloud-based marketing systems’ success. A better understanding of the impact of intention to use and user satisfaction on cloud-based marketing systems could significantly enhance companies’ success. This paper’s theoretical and practical contributions are expressed to guide organizations and policymakers in increasing cloud-based marketing systems acceptance. Originality/value This study empirically tests the relationship of quality factors and performance outcome of cloud-based marketing system through a model based on DeLone and McLean theory. This study bridges the research gap by identifying the factors that drive the adoption of cloud-based services in marketing and the impact of user satisfaction and intention to use on the cloud-based marketing system performance in the case of china companies.

Attracting CEO directors: the case of Latin America

PurposeTo understand if certain board traits can contribute to attract CEO directorsDesign/methodology/approachPanel data model with firm fixed effects of individual and firm level attributes from 450 public firms in Argentina, Brazil, Chile, Colombia, Mexico and PeruFindingsHigher levels of masters abroad, board ties, government experience and foreign members are all negatively related to the appointment of CEO directorsOriginality/valueThe use of non-performance outcome variable such as CEO experience in the family led emergent environment of Latin America