Help Of Experts Research Articles

Effect of interfacial surface roughness condition on damping of riveted cantilever beams

Purpose This paper aims to analyze deeply the effect of surface roughness conditions of the common interface of the two-layered riveted cantilever beams on their frictional damping during free lateral vibration at first mode. Here, the product, (µ × α), and damping ratio, ξ, are the parameters whose variations are analyzed in this investigation. For this, the influencing parameters considered are the natural frequency of vibration, f; the amplitude of initial excitation, y; and surface roughness value, Ra. Design/methodology/approach For experimentally evaluating logarithmic damping decrement, d, the frequency response function analyzer for the case of free lateral vibrations was used. Later, for evaluating the product, µ × α (where µ is the kinematic coefficient of friction and α is the dynamic slip ratio), and then, the damping ratio, ξ, the empirical relation suggested for logarithmic damping decrement, d, of riveted cantilever beams was used. After this, the full and reduced quadratic models of the product, µ × α, ξ, response surface methodology (RSM) with the help of Design Expert 11 software was used. Corresponding main effects plots, surface plots and prediction comparison plots were obtained to observe the variations of the product, µ × α, ξ for the variations of influencing parameters: f, y and Ra. Finally, a machine learning technique such as artificial neural networks (ANNs) using “nntool” present in MATLAB R13a software was used to predict the ξ for the different combinations of f, y and Ra. Findings The full and reduced quadratic regression models for the product, (µ × α) and the damping ratio, ξ of riveted cantilever beams for free lateral vibrations of the first mode in terms of the parameters: f, y and Ra were obtained. In addition, the main effects plots, surface plots and prediction comparison plots for the product, µ × α, ξ, with the corresponding experimental values of the product, µ × α, ξ, were obtained. Also, the execution of ANNs using MATLAB R13a software is proved to be the more accurate tool for the prediction of damping ratios in comparison to quadratic regression equations obtained from Design Expert 11 software. In the end, the assumption that the effect of surface roughness value on the product, (µ × α), and the damping ratio, ξ, is negligible is proved to be true using the main effects plots for the product, (µ × α) and ξ obtained from the Design Expert 11 software. Originality/value Obtaining the full and reduced quadratic regression equations for the product, (µ × α), and ξ of the two-layered riveted cantilever beams in terms of parameters: f, y and Ra was done. In addition, the conditions for the corresponding minimum and maximum values of the product, (µ × α), and ξ were obtained. Later, the main effects plots, surface plots and comparison plots of the predicted product, (µ × α), and ξ versus experimental product, (µ × α), and ξ were also obtained. Finally, the predicted values of the product, (µ × α), and ξ using the ANNs tool are observed to be the more accurate values in comparison to that obtained from RSM using the Design Expert 11 software.

Contribution of Woman Ulama in The Digital Era

Education is essential, especially in an era of disruption and moral decline. Hence, there is a need for different forms of religious instruction, especially in the digital realm. Women should also be able to access the digital realm, as they comprise a large portion of the religious population. Only women have a better understanding of women's issues. Therefore, empowering Muslim women requires the help of female digital experts. This research shows that many women are also educating and spreading the teachings of Islam in the digital sector. Despite the concept of women in the public space as aurat, women still show their existence and can keep up with the times. This research was conducted with a case study using a descriptive analysis method through a qualitative approach. Primary data sources are observation, interviews, and documentation with a research sample of 10 ustadzah who are viral on social media. The results showed that the concept of women appearing in the public sphere helps da'wah and social roles because the existence of women is closely related to their work for the community. Furthermore, preachers in the current era need digital, technological, and human literacy to survive. In research on women, gender theory is often used as the basis of research. However, this research is more focused on the theory of the contribution of female clerics in the digital era; how they master digital literacy to transform religious values into digital. So that these female scholars can also preach to people who consume digital media so that there are changes in behavior and how to interpret life. Moreover, ideally, this daiyah should emulate the previous female scholars and place them as ideal role models: acting as muharrik (mover), murabbi and mu'allim (educator), munadzzim (organizer/leader), mura'i (protector), and munasik (supervisor) for the people simultaneously, so that their existence can indeed enlighten the community.

The impact of service robots on consumer response: Examining the roles of consumers' service expertise and technology expertise

AbstractService robots as an example of service innovation has been of great interest to researchers as it could produce greater value‐in‐use for consumers during service encounters. However, the question of how and why service robots may affect consumers remains inadequately understood. Leveraging service‐dominant logic and the heuristic‐systematic model, Study 1 examines the impacts of service innovation types on brand equity and the moderating role of consumer expertise. Study 2 explores whether cognitive and emotional trust can bridge the underlying mechanism. We find that consumers with higher levels of service expertise rate firms with supportive innovation (vs. interactive innovation) higher in brand equity. On the other hand, service novices rate firms with both types of service innovation similarly. Emotional trust significantly mediates the effect mentioned above. In addition, consumers with high technology expertise will better recognize firms' service innovation efforts regardless of innovation type. Our findings extend the service innovation literature by demonstrating how individual‐level factors such as consumer expertise help explain the relationships between various types of service robots and consumer response. Moreover, we reveal the importance for service brands to invest in different service robots based on target groups and build emotional trust with consumers.

Using Causal Inference to Estimate the Effect of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention on COVID-19 Mortality.

Traditional machine learning (ML) approaches learn to recognize patterns in the data but fail to go beyond observing associations. Such data-driven methods can lack generalizability when the data is outside the independent and identically distributed (i.i.d) setting. Using causal inference can aid data-driven techniques to go beyond learning spurious associations and frame the data-generating process in a causal lens. We can combine domain expertise and traditional ML techniques to answer causal questions on the data. In this paper, we estimate the causal effect of Pre-Exposure Prophylaxis (PrEP) on mortality in COVID-19 patients from an observational dataset of over 120,000 patients. With the help of medical experts, we hypothesize a causal graph that identifies the causal and non-causal associations, including the list of potential confounding variables. We use estimation techniques such as linear regression, matching, and machine learning (meta-learners) to estimate the causal effect. On average, our estimates show that taking PrEP can result in a 2.1% decrease in the death rate or a total of around 2,540 patients' lives saved in the studied population.

Story and Short Story; Basic Points

Literature and short stories are necessary for each other. The Story in Literature is presented with artfully fictional art. Fiction is used to narrate stories in short words. Such stories are often called short stories. Still, there is the difference between fiction and story. In the following article, it is trying to find the difference between the two with nine points. Including triangle of start, mid and end, correction point, bask structure, relation of events, presentation of characters. Also, in order to bring out the artistic status of fiction, with the help of various critics and experts, the basic essentials of fiction have also been presented in a categorical manner.

Groundwater Potential Mapping at Highly Populated Sub-districts of Thimphu District Using Fuzzy Analytic Hierarchy Process

Groundwater is important when there is an insufficient spring water supply for daily needs. The population growth and expansion of the cities demand more water. Thimphu is the capital city of Bhutan and facing water shortage in recent times due to urban expansion and population growth. This study aims to find the potential area for groundwater using the Fuzzy Analytic Hierarchy Process. The factors used for this study are elevation, slope, curvature, topographic wetness index, drainage density, normalized difference vegetation index, distance from fault density, rainfall distribution map, soil texture map, and drainage density. The rating for the factors and classes of the factors were carried out with the help of field experts. As per the fuzzy weight, the highest contributing factor for the groundwater is rainfall with a fuzzy weight of 0.215. Only 1.19% of the study area falls under very high potential zone for groundwater and the area under the curve of the groundwater potential map is 70.37%. The groundwater potential map will help concerned officials to explore the subsurface groundwater using geophysical investigation using test drilling and borehole geophysical logging techniques.

INTELLIGENT FRAMEWORK FOR DETECTION OF PLANT/CROP DISEASES USING DEEP LEARNING

The financial influence of agriculture today is expanding in tandem with the economy of our nation and has become the large industry which plays a vital and crucial role for the uplifting of our nation. Keeping track of plant diseases caused by the assistance of experts could be expensive when it comes to the agricultural area, so there is a need for a system capable of automatically identifying since it could revolutionize the monitoring of vast fields of crops and allow for the plant's treatment of leaves as soon as possible after disease detection. There are numerous illnesses that harm various plants/crops and hamper their growth and agricultural fields. So there is a need to identify the disease and tell how to recover from it. So there is a need to develop such an application which could help in the prediction of plant/crops disease and how to recover from the same. In many nations, including India, agriculture is a substantial industry. Given that a massive portion of the Indian financial system depends on agricultural production, it is crucial to give the issue of food production a careful study. The agricultural industry gave immense importance to the nomenclature and acknowledgment of crop infection on both technical and financial level. While monitoring the plant diseases which are caused in the agricultural fields with the help of experts could be very expensive in the long run so a technique or system that can recognize diseases automatically is required because it could change the way the vast fields of crops are monitored, and a perfect automated system could be built which could easily detect the plant diseases. It has become a necessity to develop an automated system which could easily detect the plant diseases beforehand and could easily help in overcoming them by suggesting the measures and techniques to overcome them. So that agricultural productivity could be increased, and agricultural production could be done properly with vast production of good quality crops which in turn help in growth of our nation.

Development of a model of critical failure factors for integrated LSS–AM practices in Indian manufacturing industries: a fuzzy TISM approach

The purpose of the present study is to identify the critical failure factors (CFFs) for implementing integrated practices of lean six sigma (LSS) and agile manufacturing (AM) in Indian manufacturing industries and develop a framework that prioritizes the CFFs. Total nine CFFs were identified through a vast review of research articles. A framework of CFFs was developed by the fuzzy-total interpretive structural modeling (TISM) approach with the help of academia and industry experts’ opinions. Fuzzy-MICMAC (Matrice d'Impacts Croisés Multiplication Appliqués à un Classement) analysis was performed to categorise CFFs into four clusters. The findings of the present study suggest that there are nine CFFs to LSS–AM implementation in Indian manufacturing industries. From the fuzzy-TISM model it is revealed that top management commitment and organisational culture change CFFs are major roadblocks to LSS–AM implementation strategy in any organization. Further, this research helps LSS–AM decision-makers and practitioners to prioritize CFFs based on their driving and dependence. Accordingly, they can make strategies to mitigate these CFFs and create a smooth pathway for the LSS–AM implementation process. This in turn can enhance the performance of the organization. This study is one of the pioneer studies of the integration of LSS–AM CFFs, which analyzed the contextual relationship among the CFFs through fuzzy-TISM.

Le dernier plénum du parti : préparatifs, discussions et échec de la réforme de la politique soviétique des nationalités en 1989

The article provides a new comprehensive analysis of the September 1989 Central Committee Plenum of the Communist Party of the Soviet Union, the first in Soviet history entirely devoted to nationalities. The plenum, whose preparations lasted more than a year, aimed to radically review Soviet nationalities policy to cope with growing interethnic tensions and nationalist sentiments during perestroika. While scholars agree that the plenum failed to meet the moment and prevent the Union from disintegrating, this article argues that it warrants new scrutiny. First, the research shows how Soviet scholars, experts, and Party members seriously questioned existing federal and interethnic relations during perestroika. Second, the detailed analysis of the discussions at the plenum unveils the sharp disconnect between the preparation phase – with attempts to find written and legal solutions to the national question with the help of academic experts – and the plenum itself, where debates were essentially political. Overall, the article looks at the dilemmas the Union leadership discussed and coped with when looking for a viable and comprehensive solution to the national question.The article draws on archival documents, notably the preparatory material for the plenum and letters addressed to the Central Committee by Soviet citizens before the event itself, which have recently become available at the Russian State Archive for Contemporary History (RGANI). The research also draws on contemporary press reports and the official publication of the Communist Party, which published—with only minor omissions—the full stenographic transcripts of the two-day discussions. The first part follows the emergence of the idea of devoting a Party plenum to nationalities policy, as well as its concrete preparation in 1988–1989. The second part details the content of the debates at the plenum. Finally, the article concludes with a short section drawing together the findings and marking out avenues for future research.

Effects of Various Gymnastic Exercises on Selected Motor Fitness Components of School Students

Abstract Purpose: The study was to clarify the influence of six-week various gymnastic exercises on selected motor fitness components of school going students. Materials and Methods: Thirty boys students (age = 14 to 16 years) were randomly assigned to the experimental group (n=30) and control group (n=30). All student was selected from The Jain International School, Bilaspur, Chhattisgarh. Various gymnastic exercises were included in the experimental group training session 6 times (each session 60 minutes) per week over 6 weeks as part of their usual weekly training regime. Both groups of gymnasts were tested selected motor fitness components before and after training. Motor fitness components performance were tested and measured through standard procedure with the help of expert and under the direct supervision of the experimenter. For the analysis of data statistical mean, standard deviation and ‘T’-test was used. The level of significance was set at 0.05 (p ≤ 0.05). Conclusion: In conclusion, there was a significant effect of various gymnastic exercises on selected motor fitness components of experimental group.

Identification of Medicinal Plants by Visual Characteristics of Leaves

Plants Leaf play a vital role in human life, they provide oxygen, food, shelter, medicine, fuel, gums and environmental protection. Many plants are rich in medicinal values and contain active ingredients for medicinal use. Because of factor such as global warming, increasing population, professional secrecy, lack of Government support for research activities and lack of awareness about medicinal plants, many useful plants species are now becoming extinct and are getting destroyed. Manual identification of medicinal plants leaf is a time-consuming process and need the help of experts for plants identification. To overcome this problem automatic identification and classification of medicinal plants is needed for greater benefit to humankind. In today’s era, the automatic identification and classification of medicinal plants leaf is an active research area in the field of image processing. Feature extraction and classification are the main steps in identification of medicinal plants and classification process which affect the overall accuracy of the classification system. This paper presents literature on image processing techniques used in identification and classification of medicinal plants and also the importance and benefits of medicinal plants in recent years.

Technological learning resources to develop A1 students English reading skills

Some problems that have arisen after not knowing how to correctly use technological tools to develop reading skills in the English language have been technical difficulties, since students may face technical problems when using technological resources, such as connection problems to Internet, errors in incompatible software or mobile. devices. Therefore, the objective of the research was to implement a technological tool for the development of the reading competence of the English language in the students of the A1 level of the Instituto Superior Tecnológico Cotopaxi. In this research work, a mixed research approach has been used under a multi-method premise, where quantitative and qualitative approaches are mixed. Finally, through the Design Thinking design methodology executed with the help of experts and the PPP foreign language teaching methodology explicitly oriented towards the development of reading competence, it was possible to design technological resources based on web tools that allow the English language learner to appropriate the second language with real communication activities in everyday life.

PELATIHAN KESELAMATAN TERHADAP GEMPA DI KELURAHAN BENDUNG KECAMATAN KASEMEN KOTA SERANG

Indonesia is an earthquake-prone country. Almost all of the islands in Indonesia lie in the ring of fire of the world's earthquakes. Earthquake disasters often occur and cause a lot of loss, both property and casualties. However, until now, education for the public to be prepared for earthquake disasters is still inadequate. The community is always unprepared and only resigned to fate in facing the earthquake. Earthquake disaster mitigation is generally the responsibility of the government, but the government itself cannot make effective efforts without the help of experts and the participation of the community itself. The PKM Earthquake Safety Training Program is aimed at the people of Kelurahan Bendung, Kecamatan Kasemen, Serang, Banten because based on the findings of the latest earthquake fault, namely the Baribis Fault, the area has the potential for a large earthquake to occur. This program aims to educate the people there about prevention efforts before an earthquake occurs, what to do when an earthquake occurs, and what to do after an earthquake occurs. It is hoped that the knowledge provided will be useful, and the people there can be prepared for earthquake disasters, so that loss of life and property due to the earthquake can be diminished.

Experimental study and optimization of performance characteristics of compression ignition hydrogen engine with diesel pilot injection

World's energy demand is majorly met by fossil fuels. An increase in the demand for energy and the depletion of fossil fuels leads to look for the alternate source of energy. Hydrogen is one of the most viable alternate sources of alternate energy. This paper presents the performance study of a Compression Ignition engine using a fuel combination of diesel and hydrogen-diesel. The performance parameters have been analyzed with two input factors, load and Compression Ratio and three output responses, Brake Thermal efficiency (BTE), Brake Specific Fuel Consumption (BSFC) and Volumetric efficiency. The experimental results indicate the improvement in BTE, reduction in BSFC and volumetric efficiency. The BTE was improved by 6.38%, BSFC was reduced by 4.87% and Volumetric efficiency got reduced by 1.89% when hydrogen-diesel fuel is used in place of neat diesel. The experiments have been designed with the help of Design Expert® 13.0.5 using Response Surface Method. The experiments are conducted using Optimal (Custom) design. Mathematical relations are developed between the process parameters and the input factors using regression analysis. The optimal solution has been obtained using the desirability approach. The confirmation experiments have been performed on the optimal solution to verify with the experiment results. Results of the confirmation test shows that the developed mathematical are appropriate for the use in CI engine.

The Authenticity of Modern Means of Criminal Evidence

This research is an attempt to know the authenticity of modern means of criminal evidence. It deals with the authority of the subject judge in forming his emotional conviction from modern means of proof. Moreover, it is an attempt to highlight the rule of personal conviction of the judge and the scope of its application, as well as the persuasive power of modern means. The researcher has used the descriptive analytical method. The study has found that the criminal judge is now able to access evidence through the help of experts. It has also been found that The legislator is the one who can confront this technical and scientific development with the new means in the field of proof stipulated in the articles of the law. Moreover, the recent evidence that is gleaned from photography is a presumption, and reliance on it in convicting is subject to the judge’s emotional judgment.

A novel and accurate deep learning-based Covid-19 diagnostic model for heart patients

Using radiographic changes of COVID-19 in the medical images, artificial intelligence techniques such as deep learning are used to extract some graphical features of COVID-19 and present a Covid-19 diagnostic tool. Differently from previous works that focus on using deep learning to analyze CT scans or X-ray images, this paper uses deep learning to scan electro diagram (ECG) images to diagnose Covid-19. Covid-19 patients with heart disease are the most people exposed to violent symptoms of Covid-19 and death. This shows that there is a special, unclear relation (until now) and parameters between covid-19 and heart disease. So, as previous works, using a general diagnostic model to detect covid-19 from all patients, based on the same rules, is not accurate as we prove later in the practical section of our paper because the model faces dispersion in the data during the training process. So, this paper aims to propose a novel model that focuses on diagnosing accurately Covid-19 for heart patients only to increase the accuracy and to reduce the waiting time of a heart patient to perform a covid-19 diagnosis. Also, we handle the only one existed dataset that contains ECGs of Covid-19 patients and produce a new version, with the help of a heart diseases expert, which consists of two classes: ECGs of heart patients with positive Covid-19 and ECGs of heart patients with negative Covid-19 cases. This dataset will help medical experts and data scientists to study the relation between Covid-19 and heart patients. We achieve overall accuracy, sensitivity and specificity 99.1%, 99% and 100%, respectively.

Women's health magazines and postfeminist healthism: A critical discourse analysis

Daily, millions of North American women turn to popular media, like women's health magazines, for health-related advice and information. “Magazines continue to be a popular medium” and, given their power and reach, remain an important site for critical analysis. In this article, we examine the ways in which three popular women's health magazines provide “health” advice to their readers. We first provide an overview of research in feminist media studies exploring postfeminist sensibility, healthism, and now a postfeminist healthism. We then conduct a critical discourse analysis of articles from all 30 issues of Health, Women's Health, and Shape magazines published in 2018. Our investigation of how the magazines portray what it means to have “good health,” suggests that health continues to be conflated with appearance. Moreover, health is presented as confusing, such that maintaining health requires expert help, and as purchasable, and thus linked to economic practices.

Hierarchical relationships of building partnership competency: the use of nominal group technique and interpretive structural modelling

PurposeThis paper aims to determine the hierarchical relationship between building partnership competencies for public sector educational leaders (ELs) administering and running the education system.Design/methodology/approachAn interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for building partnership competencies. Nominal group technique (NGT) was used with the help of experts’ suggestions and opinions at the beginning of ISM to identify building partnership competencies. Also, the NGT was used to rank the competencies. A structural self-integration matrix was developed based on experts’ voting and agreement. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship among the building partnership competencies. A total of 11 experts were chosen for NGT and ISM sessions.FindingsA total of 16 building partnership competencies were identified for this study. The competencies were compartmentalised into four domains: creative collaboration, create network, develop collective culture and encouraging constructive dialogue. MICMAC analysis shows each domain of the model of its key competencies ranked at the highest level in the ISM model and dependent competencies.Research limitations/implicationsISM is a modelling approach that is based solely on expert opinions and responses. Its limitation can be overcome with the help of empirical analysis.Practical implicationsThis study supports the public sector ELs’ professional development and upskilling. In addition, the model developed in the study will be helpful for stakeholders, human resources division and policymakers to incorporate building partnership competencies in the training and development of ELs.Originality/valueThis study helps to identify and prioritise building partnership competencies using NGT and ISM. Literature shows that numerous authors have used the ISM approach. Still, the combination of NGT approach is limited. Therefore, the model developed in the study was based solely on experts’ opinions and suggestion based on their experiences and knowledge.

무도 수련과 초등학생의 학습 태도 간 관계

In this study, when elementary school students practice martial arts, there is an objection that martial arts training confirms the relationship between elementary school students learning attitude and concentration. The subjects of this study were about 200 elementary school students practicing martial arts located in D city and G province. The 30-question questionnaire was reconstructed with the help of experts, and the subjects participated in the questionnaire using the self-assessment method. As a result, it was confirmed that martial arts training affected responsibility, self-concept, and creativity according to gender and age, influenced creativity according to the degree of martial arts participation, and had a positive effect on self-concept according to the training period. In addition, it was confirmed that gender, age, and training period affected continuous attention and that martial arts affected selective attention. Overall, regardless of the kind, martial arts training has a positive effect on elementary school students learning attitude and concentration. As the period of martial arts training becomes longer and the age of the trainee increases, the effect of martial arts can increase.

인공지능 및 토양 모니터링 기반 스마트 수목 보호틀 통합 관리 시스템

For years, average temperature have risen and precipitation have constantly increased. And tree in cities are being damaged by diseases, pests, death beacause of abnormal climate. The existing management system for tree protection have used the system based on not tree data but weather data. So, in order to reduce damage to tree, we are necessary to improve tree management technology. In this study, we proposed a smart tree protection frame and management system using AI technology. We proposed a system that collects tree condition data using a smart tree protection frame, diagnoses and manages trees through an analysis system. Unlike previous studies, this study has the advantage of being able to manage tree without the help of tree expert by utilizing artificial intelligence models in the use of system.