Great Way Research Articles

Review of PAM studies in the Coastal Waters West of Taiwan during 2013–2022

Taiwan is making efforts to transform its energy system in response to the global trend of climate change, vigorously developing renewable energy to achieve the goal of “Net Zero” emissions by 2050. However, the development of offshore wind farms may have an impact on the ecological environment of the vast western waters. The coastal waters are heavily used for human activities, and the adjacent protected reefs and estuary areas have abundant biodiversity, which may be greatly affected and require priority investigation. In recent years, passive underwater acoustic monitoring has been widely used. In addition to sound levels, it is also used for biodiversity surveys and ocean environmental impact assessments. This paper provides a review of passive acoustic monitoring studies conducted along the western coast of Taiwan in the past decade. The study period encompasses the pre-construction, construction, and operational phases of the first offshore wind turbine demonstration project, as well as the current underwater noise characteristics during the construction phase of offshore wind farms. During the large-scale development of offshore wind farms, passive acoustic monitoring is a great way to maintain a good and sustainable marine environment.

Adolescents’ perceptions of active school transport in northern Sweden

Active school transport (AST) refers to using active means of transport such as walking, cycling, or riding a non-motorised scooter to school. It can help improve adolescents’ physical activity levels and create a more sustainable environment. The study involved 70 adolescents (45 boys and 25 girls) aged 13 to 14 from one school in Skellefteå, in Northern Sweden. In an online questionnaire, they were asked about their perceptions of cycling, walking, and riding a non-motorised scooter to school. This study used descriptive statistics, multiple regression analysis, and hypothesis testing with ANOVA to analyse the collected data and compare the perceptions of different types of transport on safety, environmental, and personal factors among adolescents in Northern Sweden. According to the results, more adolescents walked to school than cycled, and significantly few rode a non-motorised scooter to school. Most adolescents believe walking or cycling to school is a great way to exercise. Furthermore, the study also revealed that many adolescents avoid using AST due to the time it takes. Although the study showed that adolescents felt sufficient support for using AST from schools and parents, the number of adolescents using motorised transport is higher during winter than in summer. Additionally, most of them were more confident about cycling and walking to school than riding a non-motorised scooter and thought using AST was nice. Finally, most adolescents perceived having complete control over their transport options when going to school. The research indicates that it is crucial to implement interventions that inspire children to be interested and excited about using AST. These strategies should include fostering an AST culture that is fun and positive, as well as creating environments that are safe and supportive. The research results will guide the creation of a persuasive game that can motivate adolescents to use AST and measure its effectiveness.

An Innovative Topologies Based on Hypercube Network Interconnection

A parallel processing system's most crucial part is a network interconnection that links its processors. The hypercube topology has interesting features that make it a great option for parallel processing applications. This paper presents two innovative configurations of interconnection networks based on fractal Sierpinski and a hypercube. These are called the Sierpinski Triangle Topology (STT) and Sierpinski Carpet Topology (SCT). Compared to a hypercube, the Sierpinski Triangle topology (STT) noticed a significant decrease in the number of nodes and links as large networks grew. Hence, it is considered a great way to reduce costs because it uses fewer nodes and links. The average distance is also shorter, which is better. Despite it having a smaller bisection width and a higher degree than a hypercube by one. The Sierpinski Carpet Topology (SCT) has the advantage of having a high bisection width compared to a hypercube. That is preferable because it places a lower restriction on the difficulty of parallel algorithms. While the drawback of this topology is that it has a diameter and average distance more than a hypercube.

Electric field-stimulated Raman scattering enhancing biochips fabricated by Au nano-islands deposited on laser-scribed 3D graphene for uremic toxins detection

BackgroundThe detection of uremic toxins is important for early-stage diagnosis of chronic kidney disease. However, Raman spectroscopy is shortcoming of the sensitivity for detecting the trace analytes. The electric field-induced chemical surface-enhanced Raman scattering (SERS) enhancement (EC-SERS) detection is great way to solve and investigates uremic toxins. MethodsIn this work, various thickness (5–25 nm) of Au nano-islands were deposited on the 3D laser-scribed graphene (LSG) substrate for increasing the sensitivity and reproducibility of SERS detection. Particularly, applying the electric-field stimulus in Au-LSG SERS substrate allows to further amplify the SERS signals, and measure the EC-SERS signals of biomolecules. Significant findingsThe results show that 20 nm of Au nano-islands coated on LSG substrate obtains the highest SERS enhancement effects, and successfully detects the dye molecules (rhodamine 6G, R6G) and uremic toxins (urea and creatinine). The EC-SERS signals of R6G would enhance 17 times at the potential of −1.3 V, compared to SERS signals without applying an electric field. Moreover, the urea also displays 4 times higher at the potential of −0.2 V. The detecting molecules could be selected to enhance SERS signals by different voltages, showing the capability of selectively detecting biomolecules, which can solve the problem of complex sample pretreatment.

The Importance of Chowak in the Rituals of the Twiprasa in Tripura: An Ethnographic Study

This research paper attempts to investigate the use of chowak (rice beer) in several ceremonies as a social custom among the members of the Tripura tribe. In the Tripura tribe, chowak plays an important role in their socio-cultural life. It is also an essential part of their animistic belief system. Just as without animal sacrifice their deities cannot be worshipped, similarly without rice beer any propitiation remains inconclusive. According to popular belief, rice beer is the representative of the goddess Devi Laxmi. Hence, it is brewed with much religiosity. The preparation of rice beer involves a series of methods as well as taboos. Needless to say that chowak brings community harmony and it acts as a great way of bringing people together. It is assumed that sharing or drinking a bit of rice beer is like sharing the blessings of the goddess Devi Laxmi. They offer rice beer as a representation of Devi Laxmi while worshipping the deities. Rice beer is required in one’s life from the day of birth to the day of death for it is a must for every ritual. Rice beer is used in rituals as a kind of hospitality and respect towards the visitors. But with the passage of time, the significance of chowak is waning among the members of the tribe due to, commercialization, religious conversion, acculturation, and modernization.

Significance of Artificial Intelligence in Mental Health Detection for Overall Development

Abstract: With the rapid development of human civilization, the capability of the human brain is also increasing with the fast pace of development which is eventually leading to mental health issues varying from young stage students to working professionals. Mental health is the least concerning issue in the life of today’s generation when compared to physical health. One of the main concerns about which very few are aware is that mental problems can lead directly to several other physical problems and several terminal diseases. Such cases can affect a person’s normal life adversely in various ways from affecting day-to-day routine, the standard of living, and relationship trauma. Early-stage detection is significantly important for the cause but gets delayed due to irresponsible handling or ignorance of the situation, where artificial intelligence can play a vital role. In today’s era, everything can be predicted using complex mathematical calculations which can be promptly paced up when integrated with computer science and programming concepts. Numerous pieces of research are being done in the dimension of artificial intelligence and machine learning for early-stage detection of issues related to mental health with optimized accuracy. This can lead directly to the early treatment required with the concerned patient with the help of a counsellor or a psychiatrist if required. This study concluded the implementation of AI for early detection of the mental health issues focuses in dimension of AI and its sub fields such as, machine learning for early-stage detection of issues related to mental health with optimized accuracy. A nation like India is a great way to become a developed nation and implementing AI-based technology will accelerate the developing phase for overall sustainable development.

The Relationship Between Leadership Style and Employee Psychological Well-Being at a Palm Oil Estate in Tawau, Sabah

Strong leadership is the true cornerstone of an organisation and the backbone of a business. It has been suggested that the key role in ensuring success in the organisation and maintaining good psychological well-being is shared among employers and employees. Provision visualized that for maintaining a good psychological well-being among employees were shared between employers and employees the key in ensuring the success of maintaining good psychological well-being in the organisation. Hence, this study aims to explore the relationship between leadership style and employee psychological well-being at the palm oil estate in Tawau, Sabah. Convenience sampling was adopted as a non-probability sample design in this investigation. There were 100 employees that participated in this study, which include the harvester, daily rate employees and line leader. The data collection was conducted by distributing the questionnaire using the Google Form as well in person. Questionnaires used in this research were Multifactor Leadership Questionnaire and Psychological Well Being Scale. The findings showed that the level of leadership style is at a moderate level, while the level of employee psychological well-being is at a high level. This study successfully found a relationship between leadership style and employee psychological well-being within the studied company. Sentence edit: Personal growth dimension was the highest score compared to other dimensionsThere are several limitations that occurred during the research. Firstly, the lack of ability to access the academic journal gave limitations to the researcher to conduct literature review and have a better understanding of the journals. In addition, this study only included one company located in Tawau. The results are not generalizable as the data only reflect one company. Future implications should highlight the importance of role models among leaders by exhibiting leadership style attributes when communicating with their employee as it may affect the employee’s perspectives towards them. Besides, allowing employees to recognize their potential, autonomy, and ideas is a great way to start the journey toward a better leadership style.

Dynamics of Student Internship System in Faculty of Art of KNUST, Kumasi, Ghana: Exploring Perceptions, Values, Access and Development Outcomes

An internship programme is a great way to connect what is learnt in class with actual work experience. Existing research has underscored the positive contribution of internship to the educational process and career outcomes among students. The internship programme for students of Faculty of Art, KNUST is a requirement or considered as a compulsory 15 credit hour course for the award of undergraduate degree. As such it is a vital component of the curriculum. Nonetheless, empirical literature on the dynamics of the internship programme at the university is sparse. Without insight into these dynamics however, there will be lack of information that could inform policy and continuous improvement of the programme. To bridge this gap, this paper seeks to analyze the internship experiences of students to determine what factors seem to create the greatest perceived value. The study employed the descriptive exploratory study design approach. Data was obtained from a total of 376 students of the Faculty of Art through the use of questionnaire designed in open and close ended patterns and focus discussions. The statistical package for the social sciences (SPSS) computer package was used for data analysis, while descriptive statistical tools such as frequency and percentage were used to analyze the facts sought from the questionnaire. The students described a variety of skills learned during the internship including mastering the use of some equipment, software, and report writing. About 80% of the participants indicated that the internship programme was important and linked the classroom work to real work environment. All the students regardless of their experiences indicated they had value for the internship which they believe will play a role in their future career objectives. On the other hand, some of the students had some unfavourable experiences including inadequate work space, provision of inadequate PPEs, boring and difficult tasks. Others were engaged in other duties that were not related to their field of studies, all of which could potentially influence the perception of students.

Development of Resolver Circuit with Long Short Term Memory and Reinforcement Learning Algorithms

In our age, the usage areas of artificial intelligence have increased considerably. These areas were particularly concerned with the correct predictability of future data using available data. It has become necessary to work on various machine learning algorithms to be used in the calculations of the resolver circuit, which is a feedback element used for tracking the position and position information of the electric motor unit used in various vehicles. The use of machine learning algorithms in the design and implementation of the resolver circuit, which is one of the most important elements of electric motor designs, will shed light on future studies. In this study, it is focused on the use of machine learning algorithms in the calculation of the resolver circuit, position and position information and the performance differences between each other. In this study, LSTM (Long Short Term Memory) and Reinforcement Learning (RL) algorithms were compared. While comparing these algorithms, the types of LSTM and RL algorithms were also studied and compared. As a result of the results obtained, it was aimed that the motor designs would be less costly, and the results obtained in terms of more reliable motor position and position information to be used were promising. In addition, with this study, a basis was created for working on machine learning algorithms in the calculation of different parameters. With this study, a great way has been achieved in integrating algorithms used in electric vehicles, which are quite obsolete today, into AI-based algorithms.

ПОЛОВИНКА И ТРЕТИНКА – БИНАРЕН УРОК ЗА ПРИЕМСТВЕНОСТ III – V КЛАС

This is a binary mathematics lesson to reinforce the concepts of halves and the thirds. The new knowledge that third graders gain in the lesson is their introduction to the appropriate notation of halves and thirds with fractions. This is also the continuity between third and fifth grade. The lesson combines knowledge and skills in mathematics, Bulgarian language and literature, fine arts, technology, and entrepreneurship. The pre-project activity „The Half and the third“ gives a visual image of these concepts. Hands-on teamwork activities in a lesson are a great way to represent the concepts with real objects and a way to work with units of measurement that have been learned. Students should present what they have already learned about halves and thirds with a paper and cardboard presentation in the shape of flowers. They present drawn geometric shapes that are divided into two or three equal parts. In some of the shapes one of the two /three/ equal parts is colored. This is the problem situation – how to label this part in the presentation? The task of the fifth-grade teacher is to introduce fractions one-half and one-third of something whole through demonstration and with mathematical expression that is understandable to third graders. To show, explain and write down the fractions 1/2 and 1/3. The lesson ends with an emotional story about the symbolism of flowers by the school psychologist.

Management Practices and Organizational Performance

This study, which major objective is to assess the role of management in increasing growth of product in organizations found out the role of management in increasing the growth of product organizations. Using a sample of two hundred and sixteen (216), respondents were managers of medium sized businesses were selected in Lagos State. The sampling technique that was used is simple sampling technique. The data collected from primary data using questonnaire was analysed using correlation coefficient to test stated hypotheses. Three (3) hypotheses were tested and the alternative hypotheses were accepted. The statistical analysis used in this study revealed that there is a significant relationship between effective management planning and organizational profitability, also there is a significant relationship between strategic management and company market share; and the finding also showed that there is a relationship between effective risk management practices and organizational competitiveness. The study recommends that organizations should take use of technology time savers and use the most appropriate form of technology for your purpose. Every person must treat time very carefully, because nothing affects the bottom-line of an organization more than time effectiveness of its people (some executive do nothing serious about; also laying emphasis on the importance of good me management at regular meetings is a great way of ensuring that all the employees are all aware of its modification.

Students on The Move: A Case Study on How Props Can Improve Students’ Presentation Skills

Using props in a presentation is a great way to attract the audience and make it memorable for the participants. They enhance the impact of the presentation and must be chosen carefully. So, this paper aims to introduce the concept of "props" to students and point out its effectiveness during a presentation in Higher Education. The study participants were ten students who had to prepare a presentation for 10 minutes and use props to illustrate it. The method of this study is based on the instrument of observation and the evaluation rubric of students' oral presentations. This study is carried out in three weeks on the subject of "Text Analysis 1" in the first academic year 2022-2023 of the Bachelor's degree study program "English Language" at the Department of Foreign Languages, "Fan S. Noli" University, Korҫë, Albania. The study results showed improvements in students' presentation skills. They used words and phrases that were easy to understand, and they involved the audience in the presentations. Seven students used appropriate props to illustrate their presentations, whereas three did not use enough props. Another improvement that was seen is the correct grammar that students used while presenting. Using props gave students comfort and enthusiasm.

Characteristics of dynamic waves in incompressible fluid regarding nonlinear Boiti-Leon-Manna-Pempinelli model

Distinct models involving nonlinearity are mostly appreciated for illustrating intricate phenomena arise in the nature. The new (3+1)-dimensional generalized nonlinear Boiti-Leon-Manna-Pempinelli (BLMP) model describes the dynamical behaviors of nonlinear waves arise in incompressible fluid. This present effort deals with the well-known governing BLMP equation by adopting two efficient schemes, namely improved tanh and improved auxiliary equation. As a result, a variety of appropriate wave solutions are made available in different type functions. The gathered solutions are figured out to characterize their internal properties for depicting the relevant phenomena. Diverse wave profiles are noticed in 3D, 2D and contour sense after assigning parameter’s values involved in the achieved solutions. The finding results are comparably different and general due to the existing wave solutions. The employed approaches perform in a great way to construct analytic wave solutions of considered evolution equation and deserve further use in relevant research area.

Food Demonstration Guide

This guide will help you plan and deliver a well-organized presentation that is entertaining and educational for your audience. A 4-H demonstration is a great way for you to share your passion and teach others about your 4-H food-related project work. Written by Geralyn Sachs, and published by the UF/IFAS Extension Florida 4-H Youth Development Program, June 2023.

Methods of Teaching Vocabulary with the Help of Track Star Online Program

The article discusses ways to develop students' vocabulary in English using the Track Star online program. And also the features of using vocabulary through the Track Star online program and methods for their development are considered. Websites for teachers can not only save time, but also inspire teachers and students. Track Star is a free online program that allows teachers to collect multiple websites and comment on them so students can follow the online journey. With a little effort, teachers can organize a visual vocabulary tour for students. Teachers define topics that support learning units. The Track Star is a great way for students to revise words in different contexts (a peculiarity of effective vocabulary learning). Track star online program allows teachers to provide a comprehensive way for learners to see progress after completing each module. With a team of extremely dedicated and high-quality lecturers, track star will not only be a place to share knowledge but also help students get inspired to explore and discover many creative ideas themselves. Clear and detailed teaching methods for each lesson ensure that students can easily acquire and apply knowledge in practice. Track star online program is a classic website based on flashcards and quizzes that works as a great tool for individual or class-wide tests, informal assessments or quick comprehension checks. Either create your own quiz, or choose one from a huge catalog of existing reviews. Track star training tools are guaranteed to be the most complete and intuitive.

Predictive Analytics for Cyber Threats to Enhance Security in the Cyber Supply Chain

Using predictive analytics is a key part of making the computer supply chain safer because it helps companies find and stop threats before they happen. Predictive analytics uses complex algorithms and machine learning to look through huge amounts of data for trends and outliers that could point to cyber dangers. Businesses can stay ahead of cyber attackers and keep their digital assets safe with this method. In the online supply chain, one of the best things about prediction analytics is that it can find new threats before they become full-blown attacks. Predictive analytics looks at past data, current trends, and other factors to be able to guess possible computer dangers and weak spots. In turn, this lets businesses take strategic steps to lower these risks, like fixing security holes or adding more protections. Predictive analytics can also improve the cyber supply chain's ability to respond to incidents. Predictive analytics looks at data from many places, like network logs, endpoint devices, and security monitors, to help find and rank possible security events. This lets companies react quickly and effectively to cyberattacks to lessen their effects. The prediction analytics is a great way to make the online supply chain safer. Using advanced algorithms and machine learning, businesses can find and stop cyber dangers before they happen, keep their digital assets safe, and boost their total security.

Application of Self-Reflection Using Reflective Journal on Oxytocin Massage Skills in Diploma Three Midwifery Students

Midwifery is a profession based on women-centered and evidence-based care through the provision of mutually respectful professional relationships and partnerships. To train students' skills, repeated learning is needed, learning can be sourced from experiences such as doing self-reflection by keeping a reflective journal. This research aims to analyze the effect of applying self-reflection using a reflective journal on oxytocin massage skills. This research is an experimental research using a one-group pretest-posttest group design approach, taking samples using a simple random sampling technique. The research population was all level III students in a bivariate analysis using the Friedman ANOVA test. The results showed that the pretest mean value was 59.28 increasing to 79.50 in the first posttest and 83.38 in the second posttest with a p-value <0.05, which means that there is an effect of applying reflective journals using reflective journals on oxytocin massage skills. Having students write reflective journals is a great way for them to learn new concepts. This approach is also useful for lecturers to get feedback on the concepts being studied by students. The use of reflective journals will guide students to analyze what they have and do not know about the material being studied and how to overcome the obstacles encountered so that learning goals are achieved and foster independent learning in students.

Multimedia Authentication Through Digital Tattooing Scheme at IoT Perception Layer for Smart City

The move to a digital environment, where consumers may utilise, process, store, and transfer their data, has occurred in recent years. Furthermore, the quick and ongoing evolution of the Internet of Things (IoT) has resulted in a massive increase in the utilisation of digital signals and images. The Internet of Things (IoT) is a huge and varied network of connected devices, everyday objects, and gadgets that can communicate with one another over the Internet. The Internet of Things has a lot of potential to become a part of everyday life and improve people’s lives. In recent decades, digital tattooing has been offered as a great way to handle numerous elements of IoT security. This technology works by embedding a digital signal called a digital tattoo into another digital signal called a host signal, which can be text, image, audio, or video. The principle of this approach is to detect changed pixels using the Cyclic Redundancy Check (CRC) code. The CRC is a data integrity check that is both powerful and simple to use. It is the most used method of mistake detection in telecommunications. For these reasons, it has been used in the context of the fragile tattoo to determine whether or not the picture has been altered. The experimental results show that the proposed schemes perform well in contrast to the existing scheme and use traditional evaluation criteria, proving that the new scheme is distinctive.

Adapting a video-feedback intervention to support teacher–child interaction and behavior regulation of young children at school: A qualitative pilot study

The evidence-based parenting program Video-Feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD) may have potential to also support teachers in primary schools in their interaction with children with behavior problems. We therefore adapted the intervention for use with primary school teachers (VIPP-School). Here we examined the feasibility of VIPP-School, using qualitative analyses of the perceptions of teachers and VIPP-interveners on their experiences with VIPP-School. Three teacher-child dyads from kindergarten and 2nd grade participated in six sessions of VIPP-School. Perceptions of the participants were collected using semi-structured interviews, logbooks, observations and a questionnaire. The data were qualitatively analysed. Thematic analysis showed five main themes: 1) scheduling of appointments, 2) experiences with intervention elements, 3) working alliance, 4) changes in the teacher-child interaction, 5) defining the target group. Teachers mentioned notable time investment, but appreciated the video feedback as a great way to become more aware of subtle signals of the child and their own behaviors. This study shows that with some adaptations VIPP-School is an acceptable and deliverable intervention for teachers in primary education. It has potential for supporting teachers in the interaction with children with behavioral problems. Further research on the effectiveness of VIPP-School is recommended.

Criteria Selection of Housing Loan Based on Dominance-Based Rough Set Theory: An Indian Case

Because India has one of the world’s fastest-growing economies, the Indian banking sector is essential to the country’s reform. The approval of home loans to customers is one of the crucial tasks carried out by Indian banks. The risk of loan repayment outside of the agreed-upon time frame can be reduced by accurately estimating the customer’s loan need. The majority of earlier studies on the development of banking lacked a methodical approach to analyze qualitative data. Even though the traditional multivariate statistically based factor analysis approach is a great way to categories data in qualitative analysis, the technique cannot be used without any statistical presumptions and additional information about the data. This study handles the banking attributes related to home loans using the Dominance-based Rough Set Approach (D-RSA). In order to categorize the customer’s attributes, this study suggests using a preference-based “if … then” decision rule. This rule can aid decision makers in understanding the risk factors associated with loan factors for a financial organization.