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Abstract Morphophysiological species researches are fundamental, and diagnostic imaging is an excellent technique, already used in wild animals, with great application, not invasive and provide real-time information of each body. Amazonian manatees are on the list of endangered animals classified in the vulnerable category and knowledge of the normal pattern of ultrasound anatomy of organs and tissues is important for the maintenance and well-being of captive specimens contributing to reintroduction actions. The objective of the study was to standardize the examination technique and describe the ultrasound findings of the liver, gallbladder, stomach, urinary bladder and the subcutaneous tissue of the abdominal region in Trichechus inunguis, in order to contribute with the anatomical and sonographic knowledge and assist in the diagnosis and prognosis diseases. The study used 18 animals to describe the normal sonographic anatomy in the abdominal cavity of the Amazonian manatee. During abdominal scan, it was possible to visualize the features of the liver, gallbladder, stomach, urinary bladder obtained satisfactory results in this study. Therefore, other structures were not primarily identified by the reduced time, lots of fat and gases in intestines of animals.

DevOps development strategy is based on lean and agile principles and developed to ensure faster delivery. It ensures the collaboration of all stakeholders in the software development process and incorporates user’s feedback in a faster manner. This strategy is developed to guarantee customer satisfaction, increased business value, reduced time for bagging the feedback and adjusting the deliverables. They identified a requirement of prioritizing security in DevOps and started conferring about security to be embedded in DevOps. This introduced a mission-critical issue in many organizations as it requires breaking down of the barriers of operations and security team and review of many security policies in place. The challenge is to find the best way in DevOps can still perform Continuous Integration and Continuous Delivery after implanting security in a DevOps environment. This paper introduces a complete migration framework from DevOps to DevSecOps.This paper also identifies the attributes on which the migration framework can be evaluated.

The aim of the article is to present streamlining reverse logistics challenging the trends of increased amount costs of packaging and a need to meet sustainable development goals. Analysis of the packaging process has identified increased costs for the purchase of packaging, increased volume of imported and produced packaging material, increased volume of packaging waste and thus high recycling fees (related to producer responsibility). A proposed solution for streamlining reverse logistics processes have been introduced, including workflow of the packaging process, a new packaging registration system and measures for standardisation of the packaging process. The solution's main benefits are economical and ecological: first, cost reduction for purchasing new packaging materials and cost reduction for recycling fees, the second elimination of negative influence on the environment by respecting the waste management hierarchy and principles of the circular economy. Other benefits expected for the company are shorter, more informative, and practical training of new employees, reduced time for packaging process through its standardisation and visualisation, and more efficient separation of reusable packaging.

Abstract Today’s internet world is moves to cloud computing to maintain their public data privately in a secure way. In cloud scenario, many security principles are implemented to maintain the secure transmission of data over the internet. And still, the main concern is about maintaining the integrity of our own data in public cloud. Mostly, research works concentrates on cryptographic techniques for secure sharing of data but there is no such mentioned works are available for data integrity. In this paper, a data masking technique called obfuscation is implemented which is used to protect the data from unwanted modification by data breaching attacks. In this work, enhanced Vigenere encryption is used to perform obfuscation that maintains the privacy of the user’s data. Enhanced Vigenere encryption algorithm combined with intelligent rules to maintain the dissimilarity between the data masking for perform encryption with different set of rules. This work mainly concentrates on data privacy with reduced time complexity for encryption and decryption.

The coexistence of childhood obesity (or its risk) and COVID-19 pandemic put children and adolescents in greater risk to develop respiratory and cardiovascular diseases. In fact, the restrictions introduced to limit the spread of the virus had detrimental effects on various lifestyle components, especially in young population. This resulted in augmented levels of physical inactivity and sedentary behaviors and a reduced time spent in play outdoors or sport practices. Contrariwise, the increased use of technology led clinicians, teachers, and trainers to maintain relations with obese children/adolescents so as to reduce sedentary behaviors and the associated health risks. This narrative review aims to describe the role of Telehealth and Tele-exercise as useful tools in the management of pediatric obesity during COVID-19 pandemic. Telehealth and Tele-exercise were effective in promoting self-monitoring and behavioral changes, including adherence to exercise training programs in children and adolescents. Moreover, tele-exercise platforms such as applications or exergames allowed flexible scheduling, limiting the infection risks.

Power grids are constantly evolving, and data changes are increasing. Operational technology (OT) is controlled by IT technologies in smart grids, where changes in the physical world impose changes in the software data model, as well as the continuous generation of data points, resulting in time series datasets. The increased need for processing large amounts of data combined with requirements to maintain and increase overall performances has created a significant challenge for traditional database solutions and relational database models. The main idea of this paper was to find and propose a graph model that will allow the retrieval of historical connectivity in a reduced time complexity. Furthermore, the research question was addressed by evaluating three different approaches where the results provide a foundation for the proposed design guidelines related to optimizing graph-based databases for a modern smart grid system. The results of the experiments demonstrated reduced time complexities from 3 to 5 times depending on the typical industry usage patterns and the selected graph model. This suggests that the design decision may severely affect the outcome for given smart grid use cases when using historical features in OT technologies. Therefore, the main contribution of the research is the proposed guidelines on how to design an optimal graph model that satisfies the described smart grid requirements.

This study aims to assess the perception of parents of primary school children about the concerns they have, the knowledge they have about their child's skills. Starting from the educational and socializing function of the family (Jabbarova, 2020; Syamsuddin, 2021), we formulated the following research questions: What type of problems does a 7-11 years old child have to confront? According to parents, which are the necessary abilities a 7-11 year old child has to possess? How much do children participate in non-formal activities in their spare time? 62 participants completed a semi-structured questionnaire and participated in 10 interviews. The results reveal particularities of the reality of family life, such as the reduced time spent by parents with their children, the concern of parents for the time spent by the child in the online environment. Parents also reported the lack of interdisciplinary, non-formal, attractive programs and projects for children. The results indicate the focus of parents in the formation of memory skills and critical thinking and less on academic skills. Parents express concerns about spending their child's time online but are confident that they can still handle this. The study actually describes some parents worried about many aspects of a child's life, however they are not involved in parenting programs.

Abstract Background As combat sports are classified by body mass, many athletes engage in rapid weight loss (RWL) prior to competition so they can gain an advantage over lighter opponents. Following the weigh-in, athletes engage in rapid weight gain (RWG), whereby some athletes have been able to compete up to three weight categories greater than the official division weighed in at. Results Although the impact of weight cycling on performance remains equivocal, robust scientific evidence indicates serious acute and chronic negative consequences on physiological and health-related parameters. Still, weight cycling remains highly prevalent in combat sports, and interventions to limit or stop this cultural norm are recommended. Conclusions Weigh-ins for combat sports should be transitioned to take place closer to the start of competition. This reduced time and access to engage in RWG will cut down, if not completely prevent, weight cycling. These rule changes that aim to benefit athlete’s health and promote fairness must be made at the international level, which will promote them at those levels below, as well, given qualification protocols.

When somebody, usually a teenager, abuses or harasses individual on the internet and other digital places, mainly on social networking platforms, this is termed as cyberbullying. Cyberbullying, like all types of bullying, produces psychological, emotional, and physical distress. Every individual's reaction to being bullied is diverse, but research has discovered certain common patterns. In a recent study, we introduced a technique called Hybrid Firefly Artificial Neural Networks (HFANN) to combat cyberbullying. Nevertheless, without considering the sentiment analysis features, accuracy of cyber bullying identification is lowered in this study. The Sentiment Analysis and Deep Learning based Cyber Bullying Detection (SADL-CDD) approach is used in the suggested research approach to address this issue. The punctuations, urls, html tags, and emoticons from the input tweet comments are removed first in this study project. Sentiment feature extraction is performed after pre-processing to improve classification accuracy. The Modified Fruit Fly Algorithm (MFFA) is used to choose the best features from the extracted features. Following feature selection, cyber bullying detection is carried out using a Hybrid Recurrent Residual Convolutional Neural Network (HRecRCNN). The experimental outcome of this study indicates the efficiency of the suggested approach. In comparison to current algorithms, the SADL-CDD method delivers improved classification performance with respect to reduced time complexity, greater precision, recall, f-measure, and accuracy.