Cultural and educational background of formation of sustainable lifestyle

In the XXI century mankind has approached the global transformation of society, which resulted in creation of a qualitatively new socioeconomic system, which is the knowledge society and the informational society, the foundation of which is the "economy of knowledge." Since the main factor in the formation and development of the "economy of knowledge" is human capital, need for a permanent way of human life gains currency more and more. That is, a way of life, which will provide the usage of the human capital (knowledge and skills) to meet the diverse needs of people who are not putting the state at risk of social, economic and ecological systems of society. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/3174

Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks

Advanced video classification systems decode video frames to derive the necessary texture and motion representations for ingestion and analysis by spatio-temporal deep convolutional neural networks (CNNs). However, when considering visual Internet-of-Things applications, surveillance systems and semantic crawlers of large video repositories, the video capture and the CNN-based semantic analysis parts do not tend to be co-located. This necessitates the transport of compressed video over networks and incurs significant overhead in bandwidth and energy consumption, thereby significantly undermining the deployment potential of such systems. In this paper, we investigate the trade-off between the encoding bitrate and the achievable accuracy of CNN-based video classification models that directly ingest AVC/H.264 and HEVC encoded videos. Instead of retaining entire compressed video bitstreams and applying complex optical flow calculations prior to CNN processing, we only retain motion vector and select texture information at significantly-reduced bitrates and apply no additional processing prior to CNN ingestion. Based on three CNN architectures and two action recognition datasets, we achieve 11%-94% saving in bitrate with marginal effect on classification accuracy. A model-based selection between multiple CNNs increases these savings further, to the point where, if up to 7% loss of accuracy can be tolerated, video classification can take place with as little as 3 kbps for the transport of the required compressed video information to the system implementing the CNN models

CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM Augmentation

This paper presents a novel beacon light coding protocol, which enables fast and accurate identification of the beacons in an image. The protocol is provably robust to a predefined set of detection and decoding errors, and does not require any synchronization between the beacons themselves and the optical sensor. A detailed guide is then given for developing an optical tracking and localization system, which is based on the suggested protocol and readily available hardware. Such a system operates either as a standalone system for recovering the six degrees of freedom of fast moving objects, or integrated with existing SLAM pipelines providing them with error-free and easily identifiable landmarks. Based on this guide, we implemented a low-cost positional tracking system which can run in real-time on an IoT board. We evaluate our system's accuracy and compare it to other popular methods which utilize the same optical hardware, in experiments where the ground truth is known. A companion video containing multiple real-world experiments demonstrates the accuracy, speed, and applicability of the proposed system in a wide range of environments and real-world tasks. Open source code is provided to encourage further development of low-cost localization systems integrating the suggested technology at its navigation core

Three Essays on Corporate Governance, Accounting Conservatism and Corporate Financial Decisions

This thesis consists of three essays on corporate governance, accounting conservatism and corporate financial decisions in the GCC region. It is found that Saudi firms with ruling-family directors practise less accounting conservatism, but that this effect is negated following regulatory changes in 2010 when corporate governance regulations became mandatory. Family-controlled firms in GCC have lower cash holdings than their non-family-controlled counterparts and tend to reduce cash in the growth, mature and shakeout stages of a firm's life cycle. Firms with busyness of directors in GCC increase cash holdings and SG&A expenses; decrease capital expenditure and performance

Body Part Structure Knowledge in Infancy

Human faces, bodies, and hands convey critical social information (e.g., emotions, goals, and desires). Infants, like adults, are sensitive to such social information. Unlike infants’ knowledge of the structure of the human face and body, not much is known about infants’ knowledge of hands and feet. The current study tested infants for their preference between intact hand images and ones in which the same hands were distorted (i.e., location of at least one finger was altered to distort the typical structure of the hand). Infants at 3.5 months of age had a preference for the reorganized hand image, demonstrating that 3.5-month-olds have sufficient knowledge of the configural properties of hands to discriminate between intact versus distorted images. Furthermore, when the same images were inverted, infants displayed no such preference, indicating that infants were not relying solely on low-level features to detect differences between intact versus reorganized hands. Contrastingly, when shown images of intact and reorganized feet, even 9-month-olds did not exhibit evidence of sensitivity to structural disruptions in images of feet. These results indicate that infants’ structural knowledge of hands, but not necessarily feet, develops along the same trajectory as their knowledge of faces and bodies

Association between essencial hypertension and bone mineral density

Department of Internal Medicine Rheumatology and Nephrology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova, The 8th International Medical Congress for Students and Young Doctors, September 24-26, 2020Introduction. With society trending towards aging and unhealthy lifestyle changes the prevalence rate of essential hypertension (EH) and osteoporosis (OP) increases every year, to a point where they have become the two most common diseases in the world. Aim of the study. To highlight the relationship between essential hypertension (EH) and bone mineral density (BMD). Materials and methods. A systematic review on the published literature was conducted. 17 articles on the topic of association between EH and BMD were selected after searching PubMed, Medline, Medscape, and Google Scholar. The data were anaysed and statistically compared . Results. The 17 articles used have a total of 39,491patients. Of these, 13,375 were patients with EH and 26,116 were patients without EH. The most relevant meta-analysis results showed that EH can reduce the BMD of the lumbar spine (95% CI: −0.08∼0.01, P=0.006), femoral neck (95% CI: −0.09∼-0.02, p = 0.001), ward's triangle (95% CI: −0.45∼-0.25, p=0.000), femoral intertrochanteric (95% CI: −0.90∼-0.64, p = 0.000), calcaneus (95% CI: −0.31∼-0.18, p = 0.000) and distal forearm (95% CI: −0.09∼-0.03, p = 0.000), but EH cannot reduce the BMD of the femur rotor (95% CI: −0.07∼0.24, p = 0.273). Another valuable study showed that EH can reduce the BMD of the lumbar spine (95% CI: −0.11∼-0.03, p = 0.000) and femoral neck (95% CI: −0.11∼-0.07, p = 0.000) in Asian populations. In non-Asian populations, EH can reduce the BMD of the femoral neck (95% CI: 0.04∼0.19, p = 0.002), but cannot reduce the BMD of the lumbar spine (95% CI: −0.04∼0.11, p = 0.346). Conclusions. Summarizing the articles and results analysis suggests that EH can have a negative effect on BMD, for different parts of bone, the degree of reduction is different. Furthermore, the reduction level of BMD can vary for different regions and populations

Estimating multiple linear regression parameters using term omission method

In this paper, we introduce a new method to estimate multiple linear regression parameters, namely Multiple Term Omission (MTO). Then, we compare its performance with other three methods: Ordinary Least Square (OLS), Maximum Likelihood (ML) and Bayesian Model using several criteria, such as Mean Average Deviation (MAD), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error standard (RMSE). MTO method has the finest consequences as compared to the other methods for the experimented data