Results Of Research Research Articles

Elastic modulus prediction for high-temperature treated rock using multi-step hybrid ensemble model combined with coronavirus herd immunity optimizer

Elastic modulus is a crucial mechanical parameter that measures the stiffness property of rock materials. In underground rock engineering, such as deep energy development and geological disposal of high-level nuclear waste, accurately determining the elastic modulus of engineering rock masses in high-temperature environments plays a vital role in understanding the instability-triggering conditions of hard and brittle rock masses in deep underground engineering and maintaining the safety and stability of deep underground engineering. Traditionally, conducting indoor experimental tests is time-consuming, labor-intensive, and costly. Therefore, developing a convenient and accurate rock elastic modulus prediction model based on machine learning technology holds significant importance. To this end, this study proposed a multi-step hybrid ensemble model (MHEM) for predicting high-temperature treated rock elastic modulus. The input parameters of the model include diameter, height, density, temperature, confining pressure, crack damage stress, and strength, while the output parameter is the elastic modulus. Subsequently, a coronavirus herd immunity optimizer (CHIO) intelligent optimization algorithm was employed to optimize the MHEM, and the CHIO-MHEM was established. Then, the performance of the developed models was compared and evaluated with eight other different prediction models. Finally, SHAP method and tree model feature analysis were used to quantify the feature importance of the prediction model. The research results indicate that, compared with other prediction models, the CHIO-MHEM exhibits superior performance, achieving accurate prediction of the elastic modulus of rocks treated at different high temperatures. Additionally, among all input parameters, rock density and temperature have the most significant influence on the rock elastic modulus.

Evaluating the Impact of Problem Based Learning on Student's Metacognition in Science Learning: A Meta-Analysis Review

This study aims to evaluate the impact of problem-based learning models on students' metacognition in science learning. This type of research is a meta-analysis using the PRISMA 2020 method. Articles from Scopus and Google Scholar databases were collected using Publish or Perish (PoP) software. From 8 articles that met the inclusion criteria, a total of 20 data were obtained to be processed in the meta-analysis. Data analysis was used with JASP software.The results of this metaanalysis research show that problem-based learning model provides moderate effectiveness on students' metacognition in science learning (r RE = 0.67; SE = 0.16; z = 4.24; p < 0.001). This shows that problem-based learning model can improve students' metacognition in science learning. Through PBL, students become more aware of their cognitive strategies and learn to organise them more effectively. Incorporating PBL into the science curriculum can significantly improve students' metacognition, leading to more independent and effective students. Therefore, widely adopting PBL in science education is recommended to achieve better learning outcomes

Facilitating return of actionable genetic research results from a biobank repository: Participant uptake and utilization of digital interventions

Research participants report interest in receiving genetic research results. How best to return results remains unclear. In this randomized pilot study, we sought to assess the feasibility of returning actionable research results through a two-step process including a patient-centered digital intervention as compared to a genetic counselor (GC) in the Penn Medicine biobank. In Step 1, participants with an actionable result and procedural controls (no actionable result) were invited to digital pre-disclosure education and provided options for opting out of results. In Step 2, those with actionable results who had not opted out were randomized to receive results via a digital disclosure intervention or with a GC. Five participants (2%) opted out of results after Step 1. After both steps, 52/113 (46.0%) of eligible cases received results, 5 (4.4%) actively declined results, 34 (30.1%) passively declined and 22 (19.5%) could not be reached. Receiving results was associated with younger age (p<0.001), completing pre-disclosure education (p<0.001) and being in the GC arm (p=0.06). Being older, female, and of Black race were associated with being unable to reach. Older age and Black race were associated with passively declining. 47% of those who received results did not have personal or family history to suggest the mutation, and 55.1% completed clinical confirmation testing. The use of digital tools may be acceptable to participants and could reduce costs of returning results. Low uptake, disparities in uptake, and barriers to confirmation testing will be important to address to realize the benefit of returning actionable research results.

Pengaruh Kepemimpinan Kepala Sekolah dan Motivasi Guru Terhadap Profesionalisme Guru SMP Islam Daarul Ilmi

The problem of this research is that some teachers have not shown good performance in carrying out their duties and functions, meaning that they are in accordance with the main duties and functions of teachers, such as: activities in planning teaching programs, carrying out learning activities, carrying out assessments, carrying out daily tests, preparing and implementing improvement programs. and enrichment as well as developing the field of teaching for which he is responsible. As an illustration of the profile of teachers whose performance is still low, these include: teachers teaching monotonously and without thorough preparation. Teachers still use very simple teaching preparation, have not fully used the required curriculum references, and are inconsistent in implementing the lesson plan (RPP) scenarios that have been prepared and in the learning process teachers still predominantly use the lecture method. The objectives are (1) to determine the influence the principal's leadership towards teacher professionalism; (2) To determine the effect of teacher motivation on teacher professionalism; and (3) determine the influence of the principal's leadership and teacher motivation on the professionalism of Daarul Ilmi Rancabungur Islamic Middle School teachers. Researchers used quantitative descriptive methods, because the research was carried out by analyzing numerical data (numbers). Meanwhile, the sampling technique uses Cluster sampling (Area Sampling). The population of this study was all Daarul Ilmi Islamic Middle School teachers, totaling 50 people with a population of 50 teachers determined through a purposive sampling technique. The data collection method used was a questionnaire. From the research results, it can be seen from hypothesis testing that: (1) there is a positive and significant influence of principal leadership on teacher professionalism by 22.3%, (2) there is a positive and significant influence of teacher motivation on teacher professionalism by 17.3%, ( 3) there is a positive and significant influence of the principal's leadership and teacher motivation on teacher professionalism of 28.9%. This positive influence means that if the principal's leadership and teacher motivation on teacher professionalism are good then teacher professionalism will increase.

Investigations of sequential excavation and reinforcement in tunnels based on the extended three-dimensional discontinuous deformation analysis method

The unloading effect of excavation is the key factor leading to rock mass instability, and bolt support is the key means of controlling the stability. However, the original three-dimensional discontinuous deformation analysis method (3D DDA) can only simulate rock mass instability and bolt support after the tunnel is excavated, which makes it difficult to study the effect of tunnel excavation and bolt support on rock mass stability. Therefore, an algorithm to confirm the excavated blocks and reinforced blocks based on the volume judgment method (VJM) was proposed in this paper. Sequential excavation and reinforcement in tunnels can be simulated by introducing the time variables of block excavation and bolt deployment into the 3D DDA method. By embedding these two algorithms in the 3D DDA method, an extended 3D DDA method for sequential excavation and reinforcement in tunnels was developed, named the 3D DDA_ES method. Based on the 3D DDA_ES method, the collapse that occurred during the construction of the Huangjiazhuang Tunnel was simulated, and the displacement of key blocks and the axial force of the bolts were analyzed. According to the simulation results, the axial force on the bolts is strongly related to the position of the key blocks, and the axial force on the bolts at the tunnel roof is much greater than that at the tunnel arch shoulder. In this regard, these bolts with axial forces less than 1 kN are removed during the simulation, and the key blocks remain stable with a maximum displacement of 12 cm. The research results can provide a theoretical basis for tunnel construction and reinforcement parameter optimization for similar projects.

Spatial solidarity among older adults in age-related housing

Ageing-in-place policies encourage older adults to live at home as long as possible; however, this challenges the abilities of both formal care and informal help. Utilizing the results of my research, I introduce the term spatial solidarity to describe the help that older individuals give each other in age-related housing. One starting point for solidarity is the ability to relate to others. In age-related housing people understand the challenges they face because of aging, although giving reciprocal help might not be possible due to a variety of challenges people face including illness. Helping may be exhausting for those who provide the help and furthermore may cause clashes between helpers and authorities. The results show that solidarity is connected to spatiality in many ways. I have introduced three spatial points that have an influence on solidarity and vice versa: relational space, everyday spatialities and affective qualities. In relational space, solidarity can change the spaces we live in but also the spaces can create solidarity. Furthermore, solidarity can change spaces both physically and through social relationships. Through everyday spatialities solidarity creates spatial patterns in everyday life and has an influence on everyday decisions. Solidarity is affective in the sense that it emerges in spaces where discussions are made about values and norms. Furthermore, when people show solidarity towards each other, it may influence others. Spatial solidarity amongst older individuals fills the gap between any inadequacy in the form of the home care and the needs of the residents. However, the spatial solidarity between older adults is precarious and may change due to the physical conditions of the people. Furthermore, the main responsibility for care of older individuals should not lie with other older people.

Implementasi Pendidikan Karakter Islami di MTs Cijawura Kota Bandung

This research is motivated by student character problems that are often carried out in schools, including speaking rudely, borrowing things without being returned, stealing money, behaving disrespectfully to teachers and friends, and not being disciplined when entering school and doing assignments and so on. In addition, students still like to ridicule their peers and upperclassmen who have imperfections in their physicality, appearance, or inadequate academic potential. The purpose of the research is to find out the pattern of character development, habituation patterns, and exemplary practices carried out by school principals and teachers at MTs. Cijawura, Bandung City. The research method used is a qualitative (descriptive) method to find out the data and information needed to support the research in accordance with the previously set goals. The results of the first research, coaching. Principals and teachers always provide guidance in school activities and in daily learning. Second, habituation. Teachers as the vanguard in educating students' character in terms of habituation of daily attitudes. Third, example. The example conveyed to all students is a very fundamental thing in character or moral education. Principals, teachers, and staff always work together to provide exemplary models so that students can imitate the behavior of teachers so that they become good examples.

Kepemimpinan Transformasional Kepala Sekolah untuk Membangun Budaya Literasi Membaca di Lingkungan Sekolah Negeri

The principal is a leader figure in the school environment. The principal’s transformational leadership has an influence on the reading literacy culture in the school environment. Researchers in this study collected data from library data and from journals and books which are better known as library studies.researchers analyze research content related to the theme being researched to draw conclusions. The research result show that the principal’s transformational leadership builds a good and efficient literacy culture. The principal’s transformational leadership is able to change the school’s potential to have a high literacy culture. The ability possessed by the principal’s transformational leadership is in the form of innovation ability, innovation is useful for encouraging the emergence of new breakthroughs in education. The motivation, motivation is useful for encouraging student’s enthusiasm in the educational process and fostering the work ethic of their educators. And inspiration, inspiration is useful for fostering high passion for all school staff. The school principal’s transformational leadership abilities are able to have an effect on students and girls in the school to enjoy reading and in general can foster a culture of literacy for all members of the school.

Building expert consensus regarding sharing of individual research results in Alzheimer’s disease research: a Delphi study protocol

IntroductionInformed decisions to enrol in the clinical investigations of Alzheimer’s disease and related dementias (ADRD) require careful consideration of complex risks and uncertain benefits. Decisions regarding whether to receive information...

Tindak Tutur Ekspresif dalam Novel Dua Garis Biru Karya Lucia Priandarini

The background of this research aims to describe the type of expressive submission in the novel Two Blue Lines of Lucia Priandarini's work. This type of research is qualitative using descriptive methods. The source of data used in this research is the novel Two Blue Lines. This research data is the dialogue-dialogue of the characters found in the novel two blue lines by Lucia Priandarini. Data collected by recording method. The implementation is carried out in several steps as follows: (1) classify the data according to the type of expressive follow-up in the novel Two Blue Lines by Lucia Priandarini (2) analyze the data that has been classified then interpret the data in accordance with the theory used (3) formulate conclusions based on the results of research and interpretation. Based on data analysis, eleven types of expressive behavior were identified: critical, angry, surprised, apologizing, praising, complaining, accusing, feeling happy, expressing gratitude, happiness or pleasure, and feeling ashamed. The most dominant expressive act of exaltation used in the novel Two Blue Lines is expressive expression of criticism and anger.

Mampukah Sistem E-Laporan Meningkatkan Efektivitas Pengawasan Kegiatan Penyuluhan di Kabupaten Sleman?

The extension e-report system is an online system used by field agricultural extension workers in Sleman Regency to report their extension activities every month online through the www.penyuluhan.jogjaprov.go.id website. This study aims to examine the influence of system quality on system use, inspect the influence of system quality on user satisfaction, test the influence of information quality on system use and user satisfaction, the influence of system use on user satisfaction, the influence of user satisfaction on system use, the influence of system use on individual impact and the influence of satisfaction users to individual impacts using the DeLone &amp; McLean IS Success Model. The quantitative research method is carried out in all Agricultural Food and Fisheries Extension Center (BP4) in Sleman Regency, Yogyakarta Province, with 90 respondents in field agricultural extension taken using the census technique—the research analysis using SEM PLS with SmartPLS 3.0 software. The results of the study show that (1) the quality of the system does not affect the use of the system. (2) The system’s quality does not affect user satisfaction. (3) The quality of information affects the use of the system. (4) The quality of information affects user satisfaction. (5a) The use of the system affects user satisfaction. (5b) User satisfaction affects the use of the system. (6) Using the system affects the impact of the Individual. (7) User satisfaction affects individual impact. The research results are expected to provide input for improving this e-report system to make the supervision process more effective.

Sentiment Analysis of Customer Review Using Classification Algorithms and SMOTE for Handling Imbalanced Class

Ralali.com is a B2B e-commerce platform that offers various brands across categories ranging from automotive to building materials. The Play Store is a tool for downloading applications used by many people. This research aims to compare and find the best model among Naïve Bayes (NB), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) in classifying the sentiment reviews of Ralali.com's application on the Play Store, and analyze the negative labels to provide recommendations for Ralali.com developers. Based on the research results, the NB Algorithm stands out as the best choice compared to SVM and k-NN in addressing class imbalance. The use of SMOTE generally improves the model performance on minority classes for Precision, Recall, and F-Measure, although there are still challenges related to the lower Accuracy compared to the use of non-SMOTE.

Why millennials and gen Z are silently leaving their jobs? Unraveling the ‘quiet quitting’ trend

This paper investigates the phenomenon and factors that influence quiet quitting behavior that is happening in millennial and Z generation workers. Quiet quitting is employee behavior that chooses to work moderately according to the tasks that have been given. Several previous research results found that this behavior can be anticipated by increasing job satisfaction which is influenced by empowering leadership, organizational culture, and work overload. This research was designed with a survey method and using a quantitative approach. Data collection in this study used online questionnaires distributed to workers in the age range of millennial and Z generations. The data analysis technique used in this research is Structural Equation Modelling (SEM) with AMOS software. The number of samples in this study was 600 respondents. The respondents are dominated by workers on the islands of Java and Sumatra and the rest are from other regions in Indonesia. The findings of this research highlight the negative effect of job satisfaction towards quiet quitting behavior in millennial and Z workers. Another result of this study is that there is a positive effect of empowering leadership and organizational culture on job satisfaction, while work overload have a negative effect on job satisfaction. The research results are useful information for planning strategies to retain employees and provide their best performance at work. These findings are significant to measure the factors that influence job satisfaction of millennial and generation Z employees so that they do not quiet quitting or leaving the company.

Tourism and the livelihood of the people of a residential community in Vietnam's tourism destination

This paper investigates the long-term relationship between factors affecting people's livelihoods after tourism investment in the tourism sub-region south of the Red River in Vietnam. The study used survey data and multiple linear regression econometric models from the three provinces of Ninh Binh, Nam Dinh and Thai Binh in the South Red River tourism sub-region from February 2023 to August 2023. Research results show that all eight factors are statistically significant and impact people's livelihoods. These seven factors have a positive impact while one factor harms their livelihoods. The three factors that have the most positive impact on livelihoods are (1) employment in the tourist destination, (2) local government policies and (3) agricultural land quality. The remaining factors such as (4) social culture, (5) infrastructure, (6) jobs outside tourist destinations and (7) social welfare have the same impact but less impact. Meanwhile, the factor that harms their livelihoods is the amount of agricultural land. In addition, employers in the tourism destination and local government policies continue to have an important impact on the livelihoods of the local population to assess the sustainability of the impact factors while less impact variables are excluded. The research results are the basis for proposing recommendations to diversify people's livelihoods after tourism develops in the southern Red River tourism sub-region.

Improving Work Engagement Strengthened by Self Efficacy and Organizational Culture

Employees' performance influences an organization's success; an organization will try to improve employee performance to achieve organizational goals; employees are an important factor. The success of an organization depends on the performance of its employees. This research analyzes the influence of self-efficacy and organizational culture on work engagement. Data analysis techniques use description analysis and regression analysis. Self-efficacy is formed from self-confidence, self-control, self-adjustment, self-effectiveness, and positive attitudes. Self-control is the biggest contribution to the formation of self-efficacy, reflected in remaining calm in the face of difficulties because you can rely on emotional abilities. Organizational culture is formed from involvement, consistency, adaptation, and mission. The greatest contribution to the formation of organizational culture is adaptation. This can be seen from the attitude of employees who always follow every change in organizational culture with full responsibility. Work engagement is formed from enthusiasm, dedication, and appreciation. The biggest contribution to forming work engagement is dedication, reflected in pride in the work done. Employee performance is formed from being service-oriented, accountable, competent, harmonious, and loyal. The greatest contribution to the formation of employee performance is competence, reflected in always improving one's competence to answer ever-changing challenges. Self-efficacy provides confidence and self-confidence in employees in their ability to be involved and contribute to work engagement, which can be seen in high work morale, enthusiasm for their work, and appreciation or focus in carrying out their work. Organizational culture guides employees in work behavior by providing an overview of the goals to be achieved together. Based on the research results, the following contributions are given. For the Pemalang Regency Government, leaders of government agencies can pay attention to matters related to self-efficacy behavior, organizational culture, and job design to improve employee performance.

Numerical simulation of morphological evolution in a gravel-bed meandering river during floods: a case study on the Sai-Jiang river

ABSTRACT The water velocity undergoes a significant increase during the initial stage of floods. The present study focuses on investigating the scours and silting occurring in an S-shaped gravel-bed river. The primary objective is to analyze the impact of 10-year flood events on both the riverbed and bank stability. This river is located in the Sai-jiang River reach, Fujian Province, China. A numerical model of riverbed scours and silting is herein tested. The research results indicate that the morphological evolution of the whole river section is affected in the early stage of flood evolution; however, in the later stage, some key places such as the bridge and the river land are still greatly affected. The apex of the river bend is in close proximity to the downstream river island, resulting in scour at the head of the river island that deviates from conventional patterns of head scour and tail siting. Furthermore, the presence of artificial structures like bridges exacerbates the scour and silting processes in river beds during flood events. For this case, the riverbed adjacent to the Banzhong Bridge pier experienced a widening of approximately 50 m and downstream extension of around 300 m, with a maximum vertical scouring depth of 2.87 m.

Drying kinetics of camellia oleifera seeds under hot air drying with ultrasonic pretreatment

Camellia oleifera seeds with high moisture content are prone to decay, leading to oil rancidity and seriously affecting subsequent processing and tea oil quality. Thus, an efficient drying method is needed. Hot air drying with ultrasonic pretreatment is a potential drying method for camellia oleifera seeds. In this paper, the effects of key parameters such as ultrasound power, ultrasound pretreatment time, and hot air drying temperature on the moisture ratio of camellia oleifera seeds, as well as the changes in microstructure of both seed shell and seed kernel, and the main quality parameters such as peroxide value and acid value of tea oil were explored. Results showed that the shorter the ultrasound pretreatment time, the greater the ultrasound power, the higher the temperature, the faster the drying rate, and the shorter the drying time. The drying time and specific energy consumption was reduced by up to 26.7 % and 16.8 % with the ultrasonic pretreatment, respectively. The optimal ultrasonic pretreatment time is 2 min, and the ultrasonic power is 300 W. A Genetic Algorithm Optimized Backpropagation Artificial Neural Network (GA-BP-ANN) drying model was proposed to predict the changes in moisture ratio during the drying process of camellia oleifera seeds to provide guidance for the development of intelligent drying system. The experimental results showed that the proposed drying model had a good predictive performance, with an RMSE of 0.0076969 and an R2 of 99.909 %, which can accurately estimate the effect of ultrasonic pretreatment on hot air drying. The research results of this study are expected to reduce post-harvest losses of camellia oleifera fruits and provide theoretical support for the development of drying systems of camellia oleifera seeds and similar agricultural products.

Wireless network topology optimization algorithm based on discrete variables

In response to the missing discrete variables in current wireless network topology optimization, an improved particle swarm optimization algorithm based on fusion of discrete variables is proposed to obtain network discrete variables. A wireless network topology optimization model is constructed. The research results indicate that it has better anti-interference performance in complex situations, which contributes to improving network load balancing. The topology obtained by this method has independence and predictability. When optimizing network topology, it has high network node coverage. When the network nodes are 50, 100, 150, and 200, the connectivity is 99.85 %, 93.64 %, 91.25 %, and 90.18 %, respectively. The testing time is 19s, 34s, 54s, and 64s respectively, which has the best optimization performance. The method can effectively improve the missing discrete variables in wireless network topology optimization, which has good performance.

Microbial co-cultivation: Reaction dynamics of combustible gases bioremediation in goaf

The accumulation of combustible gases in goaf is a key and difficult point in mine disaster prevention and control, which can easily lead to coal mine accidents and seriously safety production. Methanotrophs (S2, T7) and carboxydotrophic bacteria (M13) were extracted from mine environment to cocultivation. The cultivation conditions such as inoculation, temperature, and pH were selected to explore the effects of the growth and metabolic characteristics, and reveal the reaction kinetics of mixed strains (S2/M13, T7/M13). The results showed that the optimal inoculation amount for mixed strains was 5 %, and the maximum range of mixed carbon source inoculation for S2/M13 and T7/M13 were 9.69 % CH4+(7.27–9.69 % CO) and 9.69 % CH4+(4.35–7.27 % CO), the optimal cultivation temperatures were 25, 30 ℃, respectively, and the optimal pH was 7. In addition, the CH4 metabolic rates of S2/M13 and T7/M13 were 72.4 % and 85.4 %, respectively, and the CO metabolic rate reached over 95 % under the above optimal conditions, the processes of growth and metabolism of the mix cultures remained consistent. Moreover, the growth curves of the S2/M13 and T7/M13 conformed to the Logistic model, and whose attenuation coefficients (b) were 0.035, −0.215 d−1, the maximum specific growth rates (umax) were 0.524, 0.862 d−1, respectively. At the same time, the reaction rate of combustible gases showed high consistency in the logarithmic and stationary phases of the mixed strains, and exhibited a good linear relationship with the consumption rate of O2, the inhibitory kinetics of mixed strains on the reaction rate of combustible gases under different cultivation conditions were determined. The research results have vital theoretical and practical significance for the prevention and control of combustible gases and the safe mining in coal mines.

Photoelectric conversion performance of Ga0.47In0.53As/Ge0.79Sn0.21 dual-junction thermophotovoltaic cell

Based on the photovoltaic characteristics of GeSn-based materials and the theory of stacked solar cells, Ga0.47In0.53As/Ge0.79Sn0.21 dual-junction thermophotovoltaic cell has been simulated and studied for the first time. According to existing experimental material parameters, the structure of the cell is optimized, and the photoelectric performance of the cell is profoundly studied. The findings indicate that the doping concentrations of the top/bottom cell are N a(d),t/N a(d),b = 50(7) × 1016/17(2) × 1019 cm−3, which exhibits superior photoelectric conversion performance. For reducing material consumption and achieving high performance, the thickness of the emitter (base) of the top/bottom cell can be selected as 0.8~2.0(2.0~4.0)/0~0.2(1.0~4.0) μm (T BB = 1500 K). With radiator temperatures increasing, the conversion efficiency of the cell significantly improves, and the open circuit voltage of the cell can reach 0.70~0.91 V (1000~2000 K). The research results can guide the design and fabrication of high-efficiency and economical GeSn-based multi-junction thermophotovoltaic cells, and can also provide a new research and development direction for low-cost thermophotovoltaic cells.