Primary Categories Research Articles

TEACHER’S CHALLENGE IN UTILIZING WORD WALL FOR PROCEDURAL TEXT LEARNING

Word Wall is an innovative educational tool that supports teachers and students by incorporating digital-based learning media into the classroom environment. This study aims to explore the challenges encountered by teachers when using Word Wall to facilitate the learning of procedural texts. Conducted at a junior high school in Cirebon, the study focuses on 8th grade English teachers who implement Word Wall as a teaching medium. The study employs a qualitative methodology, utilizing interviews and document analysis to gather data. The findings reveal that the challenges faced by teachers in utilizing Word Wall can be divided into two primary categories. The first category involves the limitations associated with using Word Wall, such as technical difficulties and the necessity for teachers to develop creative instructional strategies. The second category highlights the benefits of Word Wall, emphasizing its efficiency and interactivity, which contribute to creating a more flexible and engaging learning environment for students.This study provides valuable insights into the practicalities of integrating digital tools in education, offering recommendations for enhancing their effective use in teaching procedural texts.

Solar Tracking Methods: A Comprehensive Survey

Abstract: In the pursuit of maximizing solar energy utilization, solar tracking systems have emerged as indispensable tools for enhancing the efficiency of photovoltaic (PV) systems. This comprehensive survey delves into the multifaceted landscape of solar tracking methods, elucidating the diverse techniques and strategies employed in optimizing solar panel orientation relative to the sun's position Solar tracking systems are classified into two primary categories: single-axis and dual-axis tracking. Single-axis tracking systems adjust solar panels along one axis, typically the azimuth axis, while dual-axis tracking systems dynamically alter both azimuth and elevation angles to accurately follow the sun's apparent motion across the sky.Within the realm of solar tracking, passive and active tracking methods are explored. Passive tracking mechanisms rely on natural phenomena such as gravity or thermal expansion to adjust panel orientation, whereas active tracking systems employ mechanical, electrical, or hydraulic actuators driven by motors or other means to actively adjust panel angles based on real-time tracking algorithms.A pivotal aspect of solar tracking systems is the selection and implementation of tracking algorithms. Various algorithms, including sun position algorithms, maximum power point tracking (MPPT) algorithms, and predictive algorithms, are analyzed for their effectiveness in accurately predicting and optimizing solar panel orientation.Furthermore, this survey scrutinizes the role of sensor technologies in solar tracking, encompassing GPS-based tracking, light-intensity-based tracking, weather-based tracking utilizing meteorological sensors, and horizon tracking techniques. These sensor-based methodologies offer different advantages and trade-offs in terms of accuracy, cost, and reliability. To provide a comprehensive understanding, comparative analyses are conducted, evaluating the efficiency, cost-effectiveness, and energy yield of different tracking methods. These comparative assessments offer valuable insights into the performance characteristics and suitability of various tracking methodologies across diverse applications and environmental conditions.In conclusion, this survey serves as an invaluable resource for researchers, engineers, and policymakers involved in the design, development, and optimization of solar tracking systems for renewable energy applications. By synthesizing the latest advancements and comparative analyses, this survey facilitates informed decision-making and fosters the advancement of sustainable solar energy technologies.

Current Status, Problems and Suggestions of Import and Export of Goods Trade between China and Chile

As one of the largest trading countries in the world, China continues to expand its trade relations with various countries, which has promoted the development of China-Chile trade in goods. Bilateral goods trade has consistently exhibited robust growth. This paper aims to delve into the current status of goods trade between China and Chile, analyze the existing challenges, and propose feasible recommendations. Through comprehensive data analysis, this research unveils the key features and challenges of their trade relationship, providing substantial support for enhancing cooperation.To begin with, this paper provides a detailed overview of the scale of China-Chile trade, emphasizing the mutually beneficial nature of their relationship. Simultaneously, it highlights the primary categories of Chinese exports to the Chilean market and Chile’s key import demands from China. Furthermore, an in-depth analysis of the major issues confronting the current merchandise trade between the two nations is conducted, encompassing concerns such as trade imbalances, product structures, and investment levels. Finally, recommendations are put forth to address these challenges, primarily focusing on enhancing policy coordination to promote bilateral investments, improving product structures to augment the value of traded goods, and optimizing investment structures to deepen bilateral cooperation.

An integrated FAHP-SD model to assess and allocate of critical risks for public-private partnership transportation projects

The present paper aims to identify and evaluate risks in transportation projects carried out through public-private partnerships (PPP) and proposes a model for allocating critical risks among stakeholders. The study utilizes the fuzzy analytic hierarchy process (FAHP) to prioritize risks and a system dynamics (SD) approach to develop a causal model for risk allocation. Thirty risks are identified and categorized into five primary risk categories: government, financing, operational, social, and organizational. Operational risks are found to be the highest priority, followed by organizational, economic, political, and social factors. Using the Pareto principle, eight critical risks are identified. The proposed SD-based risk allocation model is applied to a case study of the Shiraz-Isfahan Freeway Project. The results indicate that the project can be completed within the set timeframe of six years, but it would incur a 46% higher cost than initially estimated if 62% of the risk of exceeding the financial limit is allocated to the employer. This study provides valuable insights into risks associated with transportation projects undertaken through PPP. The proposed model offers stakeholders an effective and efficient approach to allocate risks. By addressing these risks, stakeholders can enhance the success and efficiency of PPP transportation projects.

Effects of the industrial 4.0 transition on consumer behavior: A systematic overview

The long-term processes of the evolution of digitalization and automation have a great deal of impact, changing work forms, changing job profiles and vocations, and the digital economy playing a bigger role, which presents the difficulties for social policies. The aim of this systematic literature review is to give the essence of the current state of research on the impact of the Industrial 4.0 Transition on consumer behavior. A Web of Science search turned up 155 publications that satisfied the requirements for inclusion. The main goals were to identify the following primary drivers of consumer behavior as examined through the prism of the Industrial 4.0 Transition, the main obstacles and chances for creative teaching approaches pertaining to altering the workplace, and the primary categories of effects of the Revolution of Industrial 4.0 on consumer behavior. The results showed some crucial details for the main elements influencing consumer behavior like, data, technological advancement, online shopping, Internet of Things, the Internet, e-distribution, robotics, customized artificial intelligence, efficiency, intent to behave and mining of data.

Emerging Contaminants in the Effluent of Wastewater Should Be Regulated: Which and to What Extent?

Effluent discharged from urban wastewater treatment plants (WWTPs) is a major source of emerging contaminants (ECs) requiring effective regulation. To this end, we collected discharge datasets of pharmaceuticals (PHACs) and endocrine-disrupting chemicals (EDCs), representing two primary categories of ECs, from Chinese WWTP effluent from 2012 to 2022 to establish an exposure database. Moreover, high-risk ECs' long-term water quality criteria (LWQC) were derived using the species sensitivity distribution (SSD) method. A total of 140 ECs (124 PHACs and 16 EDCs) were identified, with concentrations ranging from N.D. (not detected) to 706 μg/L. Most data were concentrated in coastal regions and Gansu, with high ecological risk observed in Gansu, Hebei, Shandong, Guangdong, and Hong Kong. Using the assessment factor (AF) method, 18 high-risk ECs requiring regulation were identified. However, only three of them, namely carbamazepine, ibuprofen, and bisphenol-A, met the derivation requirements of the SSD method. The LWQC for these three ECs were determined as 96.4, 1010, and 288 ng/L, respectively. Exposure data for carbamazepine and bisphenol-A surpassed their derived LWQC, indicating a need for heightened attention to these contaminants. This study elucidates the occurrence and risks of ECs in Chinese WWTPs and provides theoretical and data foundations for EC management in urban sewage facilities.

Research on AGV scheduling and potential conflict resolution in port scenarios: based on improved genetic algorithm

In the research of Automated Guided Vehicle (AGV) scheduling, the most critical issues are the optimization of task allocation to AGVs and the handling of conflict scenarios. To address these challenges, we propose a scheme for AGV scheduling optimization and conflict resolution. To begin with, we introduce a novel improved genetic algorithm grounded on a combination strategy that re-encodes tasks into compound groupings, effectively simplifying large-scale integer programing problems into smaller, more manageable ones. Subsequently, the simplified problem is solved using an improved genetic algorithm. Test results validate that this method not only quickens the pace of finding solutions but also significantly improves the quality of those solutions. This is particularly evident when it comes to managing larger-scale optimization challenges. Furthermore, within AGV system conflict scenarios, this paper divides them into two primary categories: navigational conflicts and task quantity changes. For navigational conflicts, three resolution approaches are designed to address four different types of conflict situations: head-on, crossing, occupation, and chasing conflicts. Considering the fluctuations in task quantity, we developed strategies for rescheduling, non-rescheduling, and insertion rescheduling. Their performances were experimentally compared across various scales of scheduling problems, providing data support and theoretical basis for the selection of scheduling strategies in practical applications.

Evaluation of the Effectiveness of Geogrids Manufactured from Recycled Plastics for Slope Stabilization-A Case Study.

This study aimed to investigate the sustainable use of recycled plastics, specifically polypropylene (PP) and high-density polyethylene (HDPE), in the manufacture of geogrids for geotechnical and civil engineering applications. Plastics were collected from a recycling center, specifically targeting containers used for food, cleaning products, and other domestic packaging items. These plastics were sorted according to the Möbius triangle classification system, with HDPE (#2) and PP (#5) being the primary categories of interest. The research methodologically evaluates the mechanical properties of PP/HDPE (0/100, 25/75, 50/50, 75/25 and 100/0% w/w) composites through tensile and flexural tests, exploring various compositions and configurations of geogrids. The results highlight the superiority of pure recycled HDPE processed into 1.3 mm thick laminated yarns and hot air welded for 20 to 30 s, exhibiting a deformation exceeding 60% in comparison to the PP/HDPE composites. Through SolidWorks® Simulation, it was shown that the adoption of a trigonal geogrid geometry optimizes force distribution and tensile strength, significantly improving slope stabilization efficiency. Based on the results obtained, a laboratory-scale prototype geogrid was developed using an extrusion process. The results underscore the importance of careful composite design and yarn configuration selection to achieve the desired mechanical properties and performance in geogrid applications. It emphasizes the potential of recycled plastics as a viable and environmentally friendly solution for stabilizing slopes, contributing to the reduction in plastic waste and promoting sustainable construction practices.

A systematic view of phosphorus loss and its retention: Pathways, mechanisms, and measures

Persistent phosphorus losses (PLs) are exacerbated by a complex interplay of human-induced factors. To mitigate the inexorable PLs, a systematic approach is needed to identify the underlying determinants among various factors affecting PLs. We analyzed the key drivers of phosphorus losses based on the phosphorus flows and human behaviors in human-environment systems. We then developed a framework to characterize and categorize the determinants of PLs and their associated pathways, systematically categorizing PLs into a hierarchical scheme consisting of three primary categories and a total of thirteen distinct subcategories, to facilitate the development of sustainable phosphorus management strategies to slow down PLs. Each subcategory possesses distinct attributes in mechanism, media, scope, and behavior, which can be leveraged to devise effective and practicable phosphorus retention measures. This systematic scheme lays a foundation for understanding the relationship between PLs and the corresponding phosphorus retention strategies.

CARDIOVASCULAR DISEASE, SIGNALING, GENE/CELL THERAPY AND ADVANCED NANOBIOMATERIALS

Cardiovascular biomaterials (also known as CB) are the most common type of biomaterials, both in terms of investments and demand. This review article compiles information on the CB and categorizes it into three primary categories: metals, polymers, and biological materials. Blood compatibility is one of the primary parameters that restricts the use of biomaterials for cardiovascular applications. Within the scope of this study, a number of significant figures concerning blood compatibility are investigated. There were a variety of surface modification techniques that were being utilized at the moment in order to enhance the compatibility of the CB. For the purpose of gaining a deeper comprehension, a number of contemporary applications of surface modification techniques on materials for cardiovascular devices were also discussed. Last but not least, the utilization of induced human pluripotent stem cells, the endothelization of cardiac implants, and the current trend of CB. As a result of the rapid expansion of the field of CB, a significant number of new researchers and academics are developing an interest in it. This overview will serve as a one-stop shop for quickly gaining an understanding of the fundamental studies that have been conducted in the field of CB.

User Involvement in a Desire to Buy Particular Goods on the Internet

Social media can be very effective at promoting niche products because customers often enjoy leaving reviews and striking up discussions about these things. This could increase consumer interest in the goods. In this study, we investigate how user designs interacting during a discourse on a niche cultural product can affect engagement levels, which may in turn improve consumption intentions. We demonstrate how increased interaction might boost consumption motivation. We discover that increased homophily and connectedness within the social media network will lead to a simultaneous rise in polarization and the prevalence of content tailored to niche markets. Next, we examine an expansion in which two lobbyists have the ability and desire to affect the frequency of every kind of content. The primary ways in which businesses can use social media as tools for strategic marketing. The article outlines the primary categories of social media applications and suggests two key applications for social media use by marketers: As sources of market intelligence, or "passive marketing tools," as well as "active marketing tools," which are platforms for interacting, communicating, and promoting with customers.

Critical assessment of the effectiveness of different dust control measures in a granite quarry.

The exposure to respirable crystalline silica found in granite dust presents significant health hazards to quarry workers and nearby communities, including silicosis and various respiratory ailments. This study evaluates the efficacy of various pollution control measures implemented in granite quarries. It aimed to provide a comprehensive critical assessment of the effectiveness of various dust control measures, considering their mechanisms, impact on air quality, and implications for worker health and community welfare. The strategy involved compiling and systematically analysing existing research articles, literature, and industry reports. The investigation identified three primary categories of measures: engineering controls, water-based suppression methods, and technological solutions. The study highlighted the significance of environmental impact and sustainability factors in selecting measures. These factors include water and energy consumption, production of secondary pollutants, long-term ecological effects, regulatory compliance, and cost-effectiveness. Operators and policymakers should utilize integrated, context-specific, inventive, and interdisciplinary strategies to efficiently control particle emissions from granite quarrying.

Inflammatory Bowel Disease and Its Association With Perinuclear Antineutrophil Cytoplasmic Antibodies: A Systematic Review.

An idiopathic condition known as inflammatory bowel disease (IBD) is characterized by a dysregulated immune response to the intestinal flora of the host. It falls into one of two primary categories: ulcerative colitis or Crohn's disease. A wide range of disorders, both clinically and genetically, can cause IBD. The purpose of this thorough analysis is to determine the significance and reliability of the correlation between perinuclear antineutrophil cytoplasmic antibodies (p-ANCA) and IBD, as well as the implications of this correlation for the diagnosis and treatment of IBD. Ten pertinent studies were identified from a starting pool of 20 articles in this systematic review, which was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. These studies addressed treatment, complications, limitations, and outcome in addition to the presence or lack of p-ANCA in patients with IBD. In conclusion, p-ANCA is more strongly linked to inflammatory bowel illness than Crohn's disease, primarily ulcerative colitis. Some evidence suggests that there is a decrease in p-ANCA to some extent with medical or surgical interventions, but the exact intervention is not yet clear. There is less evidence suggesting that the medical or surgical treatments used in patients with IBD cause an increase or decrease in p-ANCA.

Nanostructured Substrate-Mediated Bubble Degassing in Microfluidic Systems.

Microfluidic platforms have been widely used in a variety of fields owing to their numerous advantages. The prevention and prompt removal of air bubbles from microchannels are important to ensuring the optimal functioning of microfluidic devices. The entrapment of bubbles in the microchannels can result in flow instability and device performance disruption. Active and passive methods are the primary categories of degassing technologies. Active methods rely on external equipment, and passive methods operate autonomously without any external sources. This study proposed a passive degassing method that employs a nanoscale surface morphology integrated into the substrate of a microfluidic device. Nanostructures exhibit a microchannel geometry and are fabricated based on surface micromachining technology using silver ink and chemical etching. Consequently, the gas permeability is enhanced, resulting in effective degassing through the nanostructure. The performance of this degassing method was characterized under varying substrate permeabilities and input pressure conditions, and it was found that increased permeability facilitates the degassing performance. Furthermore, the applicability of our method was demonstrated by using a serpentine channel design prone to gas entrapment, particularly in the corner regions. The nanostructured substrate exhibited significantly improved degassing performance under the given pressure conditions in comparison to the glass substrate.

Two Methods of Forward Head Posture Assessment: Radiography vs. Posture and Their Clinical Comparison.

Background: Forward head posture (FHP) and altered cervical lordotic curvatures are common spine displacements often associated with neck pain and disability. Two primary categories for determining FHP exist: radiographic and postural measurements. Methods: This study investigated the correlation between the craniovertebral angle (CVA), the radiographically measured C2-C7 sagittal vertical axis (SVA), and cervical lordosis (absolute rotation angle: ARA C2-C7) in a sample of participants with chronic myofascial pain (CMP). In 120 participants, we performed both a postural measurement of the CVA and a lateral cervical radiograph, where the C2-C7 SVA and ARA C2-C7 were measured. A linear-regression R2 value to assess the correlation between the CVA, C2-C7 SVA, and ARA C2-C7 was sought. Results: A statistically significant weak linear fit was identified (Spearman's r = 0.549; R2 = 0.30, p < 0.001) between the CVA and C2-C7 SVA, having considerable variation between the two measures. A statistically significant linear fit (very weak) was identified for the lordosis ARA C2-C7 and the CVA: Spearman's r = 0.524; R2 = 0.275; p < 0.001. A value of 50° for the CVA corresponded to a value of 20 mm for the C2-C7 SVA on an X-ray. Conclusion: While the CVA and radiographic C2-C7 SVA are weakly correlated in an individual, they seem to represent different aspects of sagittal cervical balance. The CVA cannot replace radiographically measured cervical lordosis. We recommend that more emphasis be given to radiographic measures of sagittal cervical alignment than the CVA when considering patient interventions.

Collaborative Governance dalam Kesiapsiagaan Bencana Gunung Sinabung di Kabupaten Karo Provinsi Sumatera Utara

This article aims to explain collaborative governance in Mount Sinabung disaster preparedness, focusing on the collaborative process. The problem centers on the Disaster Resilient Village which was formed by the Karo Regency BPBD, but during its establishment from 2019 to date, it has not implemented the Destana program in disaster preparedness. To answer this problem, the Collaborative Governance theory of Chris Ansell and Alison Gash is used. Data were collected through interviews and triangulation, as well as a literature review, and analyzed qualitatively. This study concludes the collaborative process of the Runggu of the Karo District Government on disaster management and the Runggu tradition in the village. Building trust by forming Destana and the Destana program that is included in the village budget. Commit to a joint agreement to prepare the documents for the Village Disaster Management Plan and Village Contingency Plan. Then the document is understood and implemented together according to their respective roles. This resulted in medium-term results in Gung Pinto Village receiving a Village Resilience rating in the Primary category. The findings from this study were that of the 14 villages formed, only 1 village could carry out the collaboration process well. With recommendations for the need for an empowerment process in collaborative governance in disaster preparedness at Mount Sinabung in Karo Regency, North Sumatra Province.

Uncovering the Past Through Voices: Exploring Oral History as a Primary Source: A Case Study of the National Archives of Republic Indonesia [ANRI

This research explains the use of the oral history collection of the National Archives of the Republic of Indonesia (ANRI) to optimize historical information as a primary source. Sources of information with this primary category relate to information from historical actors or eyewitnesses and witnesses to an event. Oral history archives are the main content of this research. The method used is descriptive qualitative, focusing on observing the content of oral history information published on websites and various social media platforms affiliated with ANRI. This research aims to analyze the oral history collection owned by ANRI and the historical information content contained in the collection. The results of this paper describe the content of oral history, which has primary information specifications based on the information needs in the archives. This information is helpful to complement information originating from textual sources. Open access to ANRI’s oral history collection helps fulfill information needs that primary textual information sources cannot fully meet.&#x0D; Keywords: ANRI, archives, information services, oral history, primary sources, website

Not all Medicaid for pregnancy care is delivered equally.

Pregnant beneficiaries in the two primary Medicaid eligibility categories, traditional Medicaid and pregnancy Medicaid, have differing access to care especially in the preconception and postpartum periods. Pregnancy Medicaid has higher income limits for eligibility than traditional Medicaid but only provides coverage during and for a limited time period after pregnancy. Our objective was to determine the association between type of Medicaid (traditional Medicaid and pregnancy Medicaid) on receipt of outpatient care during the perinatal period. This retrospective cohort study compared outpatient visits using linked birth certificate and Medicaid claims from all Medicaid births in Oregon and South Carolina from 2014 through 2019. Pregnancy Medicaid ended 60 days postpartum during the study. Our primary outcome was average number of outpatient visits per 100 beneficiaries each month during three perinatal time points: preconceputally (three months prior to conception), prenatally (9 months prior to birthdate) and postpartum (from birth to 12 months). Among 105,808 Medicaid-covered births in Oregon and 141,385 births in South Carolina, pregnancy Medicaid was the most prevelant categorical eligibility. Traditional Medicaid recipients had a higher average number of preconception, prenatal and postpartum visits as compared to those in pregnancy Medicaid. In South Carolina, those using traditional Medicaid had 450% more preconception visits and 70% more postpartum visits compared with pregnancy Medicaid. In Oregon, those using traditional Medicaid had 200% more preconception visits and 29% more postpartum visits than individuals using pregnancy Medicaid. Lack of coverage in both the preconception and postpartum period deprive women of adequate opportunities to access health care or contraception. Changes to pregnancy Medicaid, including extended postpartum coverage through the American Rescue Plan Act of 2021, may facilitate better continuity of care.

Spatial distribution and influencing factors of rural tourism: A case study of Henan Province

Rural tourism is a powerful way to revitalize the countryside, and its spatial pattern is crucial for sustainable development. This paper analyzes the spatial distribution of rural tourism characteristic villages in Henan Province by taking 723 villages as the research object and using the nearest neighbor index, kernel density analysis, and spatial autocorrelation. It investigates the influencing factors utilizing the optimal parameters-based geographical detector (OPGD) model. The results show that, firstly, the overall spatial distribution of the rural tourism characteristic villages in Henan Province is characterized by aggregation and unbalanced distribution, and the overall spatial distribution density demonstrates the aggregation characteristics of “four cores and one belt”. Secondly, the rural tourism characteristic villages can be divided into four primary categories, agricultural industry, rural culture, and featured villages and towns. The spatial distributions of the four main categories are all clustered. Thirdly, the primary factors affecting the differences in the spatial distribution of the rural tourism characteristic villages are the topographic features, economic development level, tourism market potential, traffic capacity, and relevant policies, among which the critical factor is the number of A-class scenic spots in the tourism market potential. To promote the optimisation of the spatial pattern of rural tourism, it is necessary to strengthen resource integration. Furthermore, it is important to conduct in-depth exploration of more factors in order to provide comprehensive guidance for the sustainable development of rural tourism.

ICT TRENDS IN EDUCATION: A BIBLIOMETRICS STUDY OF THE PAST TWENTY YEARS OF STUDIES

Technology is a major component in education. Therefore, it must be investigated in order to gather knowledge for additional study. 185 articles were assessed using the PRISMA approach in conjunction with VOS-Viewer via Scopus data collecting. Analysing the quantity of articles, nations, citations, journals, and research partnerships on digital assessment in education is how evaluation is done. Knowledge map analysis is another way to investigate co-occurrence mapping. According to the research findings, the number of articles published rises annually, with the UK having the highest number of published publications. The research with the most citations is "Affordances of ICT in science learning: Implications for an integrated pedagogy," the journal with the most publications is "International Journal of Science Education," and the most well-liked partnership is the work done in Germany and the United Kingdom. The author with the most citations is "Webb M.E." Additionally, cluster analysis indicates that there are five primary categories—computer science education, education, science education, teaching, and science learning—that are most closely related to one another. Teaching, education, and computer science education are hot subjects right now.