Traditional Way Research Articles

Women in engineering, science and technology in sub-Saharan Africa: cultural attitudes, challenges, and gaps affecting clinical engineering and medical devices maintenance practices

Abstract Purpose From previous studies, we had observed that the number of biomedical engineers and technicians (BMETs) skilled in the maintenance of medical devices (MDs) were limited in sub-Saharan Africa (SSA) and that a likely parallelism existed between BME maintenance-related tasks and house chores mainly carried out by women in daily life. Our objective in carrying out this study was to understand underlying local cultural and social factors and domestic traditions interfering with the inclusion of women in the field of clinical and biomedical engineering (BME), and to identify existing gaps in opportunities for women in Engineering, Science and Technology (EST) in this region. Methods We carried out an online survey involving 51 respondents (70.6% women, 29.4% men), to investigate gender-biased and cultural perceptions of maintenance-related tasks among engineers/technologists/technicians in BME and other allied professions in SSA​. The survey was refined through focus groups and pilot tests to assess its validity, and then shared among specific associations of women in engineering and other bodies in EST, as well as some hospital communities and institutions. Results The survey brought to light evidence of prejudices against women in the society and workplace and showed that the adoption of our parallelism hypothesis has potential for increasing medical device maintenance practices in SSA hospitals. Conclusions There is an apparent need to further study the possible effects of this sociological model through leveraging local culture and domestic traditions in ways that could ultimately increase the leadership and numbers of women BMETs in SSA.

Perilaku Sosial Dan Gaya Hidup Remaja Di Era Moderenisasi

Modernization is a process of transformation from a direction of change to a more advanced or increasing direction in various aspects of people's lives. Or in other words, modernization is a change from the traditional way to a more advanced way for the benefit of society. Modernization causes changes in the social behavior and lifestyle of teenagers in the surrounding environment. This study aims to determine the social behavior of adolescents in the era of modernization, appearance, and ways of communicating. The method used is a qualitative method to reveal the social behavior of adolescents in the surrounding environment and the lifestyle of adolescents in the Modernization Era. The results of the study show the diversity of social behavior in adolescents, including wearing clothes that are currently trending, they have their own language to communicate on social media. Social media is very meaningful for teenagers in the modernization era, because social media is a place or media to express their feelings. When they have conflicts, teenagers in the modernization era, they are more likely to tell stories and express their feelings on social media. Therefore, the social behavior and lifestyle of adolescents in the modernization era are influenced by advances in technology and communication.

Artificial Intelligence and the Reshaping of Journalism

Incontestably, the continued advancement of artificial intelligence (AI) has transformed many industries, including journalism. AI continues to take over traditional ways of journalism in Pakistan in a similar way as in other parts of the world (but at a slower rate). It has revolutionized journalistic practices in Pakistan. This study investigated the role of artificial intelligence (AI) in reshaping journalism in Pakistan. This research used an interview method. A sample size of 15 journalists was drawn using the purposive sampling method. A carefully constructed questionnaire was used to collect data from defined participants. Additionally, to conduct a thematic analysis of recorded interviews, different categories and subcategories were used. The findings of the study reveal that despite having a transformational role in Pakistani journalism, Al Adoption still needs certain considerations to improve the standards of reporting in a polarized society like Pakistan. Although Pakistani journalists are somewhat knowledgeable about AI technology, more instruction on the moral implications of its application in journalism is necessary.

Can quantum computing be the solution to energy use in computation?

Today, humanity cannot advance without the help of computation. There are still many problems that need resolving that would never be solved without the help of a powerful computer. It is also impossible to build a large enough memory to allow us to solve these complex problems. However, even if we manage to achieve the impossible, with the unprecedented rise of data and the ever-evolving complexity of algorithms, computing the answers in the traditional way would require billions of MWs of power consumption. Not to mention the energy required to cool down the powerful computers from the significant amount of heat they produce. Humanity is quickly reaching the limits of computations that can be currently achieved, raising concerns about the sustainability and environmental impact these power-hungry machines require. Enter quantum computing – the revolutionary technology holding the promise of not only enhancing computational speeds and capabilities but also potentially alleviating the energy burden imposed by traditional computing methods.

Taste, sustainability, and nutrition: Consumers' attitude toward innovations in aquaculture products

Marine aquaculture is one of the solutions to provide sustainable nutritious food. While technological and product development in the marine aquaculture industry is challenging, the industry is also facing consumer skepticism. Therefore, it is crucial to understand consumers' food decisions to deliver the benefits of marine aquaculture on environmental sustainability and human nutrition. This study aims to test how a sheer cognition of innovative or traditional production methods influences the USA consumers' acceptance of marine aquaculture products.In an online experimental study, 186 consumers from the USA evaluated their perceptions of a series of marine aquaculture products that vary in processing levels. Participants were randomly assigned to one of the three conditions: Tradition, Technology, and Control condition. In the Tradition condition, participants were told the products are produced in a traditional way. In contrast, a high-tech production system is emphasized in the Technology condition. In the Control condition, the producer uses a conventional method to farm seafood. The results of a set of general linear models for repeated measures reveal that emphasizing traditional production methods is associated with better perceptions of tastefulness, healthiness, and sustainability. Further analysis of a structural equation model found that the difference between the Tradition versus Technology brand image mainly lies in the perceived sincerity of the producer. The image of a traditional producer contributes to better consumer trust, and it further leads to a higher perceived value of healthiness and sustainability.The results of the study shed light on the strategies to accelerate technological advances and the social acceptance of innovative nutritious food. The research is one of the early attempts in the aquaculture industry to collect consumer feedback on tech/product development. The process can support future tech/product research projects by enhancing the societal embeddedness of marine aquaculture innovation.

Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies

Detection and estimation of pothole dimensions is an essential step in road maintenance. Aging, heavy rainfall, traffic, and weak underlying layers may cause pavement potholes. Potholes can cause accidents when drivers lose control after hitting or swerving to avoid them, which may lead to injuries or fatal crashes. Also, potholes may result in property damages, such as flat tires, scrapes, dents, and leaks. Additionally, potholes are costly; for example, in the United States, potholes cost drivers about $3 Billion annually. Traditional ways of attending to potholes involve field surveys carried out by skilled personnel to determine their sizes for quantity and cost estimates. This process is expensive, prone to errors, subjectivity, unsafe, and time-consuming. Some authorities use sensor vehicles to carry out the surveys, a method that is accurate, safer, and faster than the traditional approach but much more expensive; therefore, not all authorities can afford them. To avoid these challenges, a modern, real-time, cost-effective approach is proposed to ensure the efficient and fast process of pothole maintenance. This paper presents a Deep Learning model trained using the You Only Look Once (YOLO) algorithm to capture potholes and estimate their dimensions and locations using only built-in vehicle technologies. The model attained 93.0 % precision, 91.6 % recall, 87.0 % F1-score, and 96.3 % mAP. A statistical analysis of the on-site test results indicates that the results are significant at a 5 % level, with a p-value of 0.037. This approach provides an economical and faster way of monitoring road surface conditions.

Food Passports and Intelligent Food Recipes: The Data-Oriented Way of Producing Food

This paper discusses a Multiagent System architecture and its supporting concepts and technical implementation for food-producing systems. The Food and Beverages industry is in dire need of embracing more advanced industrial digitization practices to be able to meet immediate sustainability requirements. One such challenge is improving and optimizing resource utilization. A more rationalized use of raw materials, production processes and machinery is a key aspect of the latter. At the same time, food is still produced, in many instances, in a very traditional way, particularly when it comes to ingredient selection. The architecture introduced in this paper has the ambition of articulating the supply and demand of food products based in the technical characteristics of food (e.g., composition, nutritional content and value, processing efficiency, and taste profiles) instead of the more traditional characteristics. To that end, the paper introduces, among other key concepts, the notion of the Digital Food Identity Card as an active digital document that stores such technical information and the notion of Dynamic Recipe as an active software entity with the dynamic capability of adjusting production parameters in a recipe to market conditions, as well as coordinating the resources included in the execution of a industrial food recipe. Both concepts are modeled as agents and part of the proposed architecture. Finally, the paper provides a formal grammar for a domain specific language, that can be used by human specialists to define a dynamic recipe and be simultaneously interpreted by Dynamic Recipe Agents to enact the behaviours previously described. The domain specific language is an integral part of the architecture, together with the agent-based formulation, and an important link in creating an effectively data-oriented way of articulating different stake-holder concerns. The proposed solution is informed by requirements elicited within domain experts and sustainability targets that food-producing companies currently must adhere to.

Epistemological beliefs and classroom practices of experienced physics teachers: are they related?

There is a need in teacher education to explore experienced physics teachers' domain-general epistemological beliefs and classroom practices. The study reports 30 experienced physics teachers' epistemological beliefs and classroom practices in Turkish public high school context. The data was collected through interviews and classroom observations. During the analysis, qualitative data was analyzed through constant comparative method. Level and frequency of participants' epistemological beliefs and classroom practices were quantified for descriptive statistics. The results indicated that most teachers held transitional epistemological beliefs, but they taught in traditional ways. Their epistemological beliefs and classroom practices were not in alignment. These results showed that experienced teachers might have sophisticated epistemological beliefs, but they were not able to reflect their beliefs into practice according to their perception of students' expectations. The study provides implications for research for teacher learning and development through large-scale longitudinal studies and to understand the factors of misalignment between their beliefs and practices.

A preliminary study of multidimensional semantic evaluation of outdoor thermal comfort in Chinese

Traditional method to evaluate outdoor thermal comfort which used indicators (UTCI, PET, SET, etc.) has its limitations. Firstly, emotional factors are not included in the assessment, and secondly, the results lead to less accessibility, and it is difficult for non-experts to understand.Due to the above reasons, some scholars have investigated how to evaluate outdoor thermal comfort by ‘English vocabulary’, and there is still a gap in exploring the multidimensional semantic assessment of outdoor thermal comfort by using ‘Chinese vocabulary’. This paper established a ‘Chinese vocabulary’ thesaurus for outdoor thermal comfort evaluation through online and on-site questionnaire survey including 63 words, and an outdoor experiment was carried out to validate the effectiveness of the thesaurus. The results showed a significant correlation between the 2-phases results, revealing the effectiveness of the multidimensional semantic Chinese thesaurus. PET value has a wide range when Thermal Comfort Vote (TCV) are the same, and the words people used to describe the thermal environment in 5 dimensions are very different. The results showed that it is necessary to evaluate the thermal environment by the way of multidimensional semantic, which could make up the short comings of the traditional way (thermal comfort indicators).The field validation experiment of this study was only carried out for 3 days in spring in Shenyang city, thus the result was highly influenced by the experiment conditions and has its limitations. This study could be a fundamental exploration of thermal comfort evaluation by semantic way in Chinese words.

Generativity as a Traditional Way of Life: Successful aging among Unangan Elders in the Aleutian Pribilof Islands.

Predominantly Western-based biomedical models of successful aging have been used to research, understand, and explain successful aging among diverse populations. With an increasingly heterogeneous older adult population nationwide, scholars have been exploring Indigenous understandings of successful aging. To add to the accumulation of knowledge of diverse Alaska Native populations, this study involved semi-structured qualitative interviews with 20 Unangan Elders from the Aleutian and Pribilof Islands. This community-based participatory research study explores the aging experiences and conceptualization of successful aging of these Elders from this remote and culturally distinct region of Alaska. Thematic analysis was employed to identify themes related to successful aging within this specific region, which supported our previous four themes, or characteristics, of Alaska Native successful aging: physical health, social support and emotional well-being, generativity as a traditional way of life, and community engagement and Inidgenous cultural generativity. Each of these themes or characteristics of Eldership is intertwined and together support successful aging within two remote communities in the Bering Sea. The findings of this study illuminate how Alaska Native Elders can live in geographically diverse regions of the State, yet the values and teachings they possess on successful aging possess the same cultural values and teachings. This study highlighted two new emerging constructs that influence Alaska Native Elders' successful aging based on geographical location. Findings contribute to the thematic saturation of the four main successful aging domains while outlining the importance of future research to conduct deeper investigations into the role of environment and history on Elders' perceptions and understanding of aging.

Transculturation in Arabic literacy education within and beyond mainstream education in Norway and Sweden

Transculturation in Arabic literacy education within and beyond mainstream education in Norway and Sweden

Orbital Lipschitzian mappings and semigroup actions on metric spaces

In this paper we study some results on common fixed points of families of mappings on metric spaces by imposing orbit Lipschitzian conditions on them. These orbit Lipschitzian conditions are weaker than asking the mappings to be Lipschitzian in the traditional way. We provide new results under the two classic approaches in the theory of fixed points for uniformly Lipschitzian mappings: the one under the normal structure property of the space (which can be regarded as the Cassini-Maluta's approach) and the one after the Lifschitz characteristic of the metric space (Lifschitz's approach). Although we focus on the case of semigroup of mappings, our results are new even when a mapping is considered by itself.

Encryption using True Random Number

In moment's connected digital geography, data security and sequestration have come consummate enterprises. Traditional encryption ways frequently calculate on mock arbitrary number creators (PRNGs) to induce encryption keys, which are deterministic and vulnerable to attacks. This design proposes a new approach to enhance data encryption by exercising true arbitrary number creators (TRNGs) for generating encryption keys. In this work, a secure optic ultrafast arbitrary number creator grounded on arbitrary ray gamut’s was demonstrated. Unlike the usual system of recording ray intensity over time, the arbitrary ray diapason under each pump palpitation was recorded and converted into arbitrary figures through post-processing. Approaches in three different confines — space, diapason and time were used to increase the rate of arbitrary number generation. The randomness of performing arbitrary bit aqueducts was vindicated by the NIST statistics tests

Implementation And Interventions of Studio Thinking in Art Education

The teaching mode of traditional art education imparts knowledge in a relatively simple way, which is easy to restrict the development of thinking. In the studio teaching mode, the teaching of design thinking can get rid of the traditional way from book to paper design, get rid of the misunderstanding that design thinking is equivalent to creative courses, realize the integration of resources, combine theory with practice based on projects, and develop design thinking, to cultivate students' scientific thinking methods, spirit of unity and cooperation, and innovative ability in professional practice.

Theoretical Connotation and Mechanism Construction of Digital Justice

With the development of artificial intelligence, the era of big data has come, and digital technology is changing the traditional way of life. The “online dispute resolution mechanism” based on the theory of “digital justice” has become a new type of dispute resolution that helps and promotes the realisation of justice. However, the theory of digital justice in the help of “close to justice” “to achieve justice” at the same time due to the rationality of the data computation there are also some shortcomings, in order to be more standardised and rational use of digital technology to achieve justice, the need for digital justice governance structure for the optimisation and construction.

Navigating across anthropological and Haudenosaunee knowledge: co-developing research using CBPR and Kaswenta (Two-Row Wampum) principles in partnership with Six Nations of the Grand River.

As part of the Ohneganos research project, funded through the Global Water Futures (GWF), we document the ways we worked across Haudenosaunee and anthropological knowledge to assess the impact of water insecurity on holistic maternal health. This research was led by the Six Nation Birthing Center (SNBC), inspired by Haudenosaunee Kaswenta treaty principles. We utilized community-based participatory research (CBPR) and Indigenous research methods (IRMs), such as storytelling, to find common ground of dialogue and reciprocity. In doing so, this research goes beyond traditional anthropological ways of data collection and fieldwork and highlights the importance of active community direction and participation. We argue that different knowledge from the researchers does not need to be ignored or reduced to one singular perspective to work across worldviews. Instead, acknowledging and highlighting the differences will lead to innovative methods and scholarship. This paper contributes to the literature of research methods and policies and will be helpful to Indigenous communities and non-Indigenous researchers working together.

State of stocks and harvesting of marine mammals in Russia in 2000–2020

Purpose: analysis of stocks and harvest of marine mammals in the coastal waters of Russia in 2000–2020.Method: collection and analysis of statistics data on the harvest of marine mammals provided by the territorial bodies of the Federal Agency for Fishery, as well as the results of a survey of the indigenous population about their harvest. The capture of marine mammals to ensure the traditional way of life of the indigenous population of the coastal regions of Russia continues to this day.Novelty: presents new data on the state of stocks and harvest of marine mammals in the coastal waters of Russia in 2000–2020.Results: By the beginning of the 21st century, commercial harvest for marine mammals had practically ceased for economic reasons. The trapping of marine mammals to ensure the traditional way of life of the indigenous population of the coastal regions of Russia continues to this day. The most intensive use of marine mammals is observed in Chukotka, where cetaceans, walruses and true seals are hunted. The meat and fat of marine mammals is used by the indigenous population for food purposes, as well as food for domestic dogs and fur-bearing animals when they are kept in cages. In Kamchatka, Sakhalin and along the entire mainland coast of the Sea of Okhotsk, the harvest of marine mammals by the indigenous population is significantly lower than in Chukotka. In these areas, seal fat is used for medical purposes. In remote villages of the Far North, hunted seals and beluga whales are also used for food, but collecting statistics on their production in these areas is difficult and is based on expert estimates. For a long time after the cessation of commercial fishing, the stocks of marine mammals were not assessed. Only thanks to federal funding of environmental projects of the Russian Academy of Sciences, thanks to Russian-A merican cooperation in the field of marine mammal research and the support of environmental organizations, new information has been obtained about marine mammal stocks in the last two decades of the 21st century. It is shown that despite the cessation of industrial harvesting of marine mammals, there is no significant increase in their stocks.

Computer-Aided Diagnosis System for Automated Detection of Mri Brain Tumors

Detection and classification of brain tumors in manual or traditional way is an area which could be improved by having such automated detection and clarification system for brain tumors. In this paper, enhanced Computer-Aided Diagnosis CAD software system is introduced for brain tumor detection and classification. Total of 229 brain MRI images was taken as dataset for the purpose of this research; those dataset images include 105 normal brain MRI images, and 124 abnormal brain MRI images. Proposed CAD system is specialized for Meningioma brain tumor detection and classification, and the technique could be generalized and implemented for Glioma, and Pituitary brain tumors as well, and the whole system was implemented using MATLAB software. We started by cropping the region of interest (ROI) of dataset images. Then, feature extraction was implemented using first order statistical features, as well as using of some wavelets filters in combination with the former. T-test is used to exclude features of no statistical significance (p-value < 0.05). After that, different types of classifiers were used to separate the normal set from the abnormal one. Note that, we used an iterative approach to by changing features with many runs until we got best performance, where, best accuracy results were gotten with SVM-Kernel Function (Linear), KNN-1, KNN-3, and KNN-5 classifiers. Note also that, we used convolutional neural networks (CNN) from Deep Learning toolbox of MATLAB as a control method to compare, where the images were fed directly to the CNN. The results were evaluated using performance assessment techniques which are Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy, Error Rate, and Area Under the Curve (AUC) of Reciever Operator Characteristic (ROC). With SVM classifier, the best gotten accuracy results were 91 % with CNN classifier, 82% with SVM classifier, and 77 % with KNN classifier. Furthermore, it was very beneficial to find such feature extraction techniques which gave acceptable accuracy results with three different classifiers; this was the case two times as mentioned the study. All proposed CAD system areas was developed and implemented using MATLAB software.

О сакральных местах коренных малочисленных народов Севера в Арктической зоне Республики Саха (Якутия)

The traditional culture of the indigenous peoples of the North in the Republic of Sakha (Yakutia) is one of the priority values, but the active industrial develop-ment in their places of residence in the Arctic zone implies the vulnerability of their traditional way of life. This necessitates the formation of measures to pro-tect and preserve traditional culture, lifestyle and habitat. Sacred objects are also included in the system of specially protected natural territories along with the ter-ritories of traditional nature use of indigenous small-numbered peoples of the North. Taking into account the need to take urgent organizational measures to protect sacred sites and give them a legal status, work is underway in the republic to compile a Register of sacred sites of indigenous minorities of the North and their mapping. Taking into account the relevance of the work on compiling the Register, this article is devoted to the problem of sacred places of indigenous small-numbered peoples of the North living in extreme climatic conditions of the Arctic zone of Yakutia. In the Republic of Sakha (Yakutia), the total area of the Arctic zone is 1,701 thousand square kilometers, which is 55.2% of the territory of the republic and which includes 13 territories of municipalities of the Republic of Sakha (Yakutia).

A Study on Crenulate - Shaped Bays in Coastline of Sri Lanka

Various research studies have been reported in the literature investigating the crenulate-shaped bays that are frequently seen in coastlines all over the world and these coastal bays are recognized as the most stable naturally forming beaches under oblique wave attacks mostly due to swell dominant seas. Although many crenulated bays exist in Sri Lanka coastline, no considerable attention has been given so far to investigate their characteristics. The authors have studied the temporal and spatial variations of crenulated bays in many parts of the coastline of Sri Lanka using Google Earth images. Based on the detailed analysis carried out to investigate the shape of the bay profiles using empirical formulations, a hyperbolic tangent formula has been identified as the best fit for crenulated bays in the coastline of Sri Lanka. Considering various coastal sectors and monsoon seasons, different relationships have been derived between the coefficients a and b of the hyperbolic tangent formula. A relationship that has been developed co-relating the coefficient a with few coastal parameters is also discussed. Since many parts of the Sri Lanka coastline are subjected to severe erosion despite the construction of a variety of shore protection structures in traditional ways, a new approach is suggested for carrying out such work where the coastal structures will be aligned in predetermined directions depending on the coastal stretch so that stable crenulated bays will be naturally formed in between these structures, stabilizing the entire coastal stretch. This approach will be very useful in managing coastal erosion problem in the future.