Concept Of Technology Research Articles

Upgrading Master's Training for Higher Education Instructors in the Digital Era: Public Health Education as an Example

This study elucidates the theoretical underpinnings and underscores the imperative of enhancing master's training programs for higher education teachers within the educational digitalization landscape on the public health education example. The research elucidates that at the core of this evolution lies the technological concept, necessitating the development of a meticulously grounded model for the purposeful and well-organized training of higher education faculty within a digitally transformed educational framework. This model delineates a meticulously outlined structure, content framework, a judicious selection of methodologies and techniques, and a methodical integration of technological advancements to ensure the realization of desired educational outcomes. The structural-functional model encompasses integral components such as the methodological-objective facet (incorporating societal demands, educational objectives, conceptual approaches to professional development, and digitalization elements), the constructive-procedural dimension (comprising educational directions, organizational forms in the digital paradigm), the profession-specific aspect (encompassing content, technologies, methods, pedagogical tools), and the analytical-effective domain (defining criteria, process metrics, diagnostic tools), in conjunction with organizational-pedagogical parameters. Emphasis is placed on nurturing a tailored educational milieu and fostering educational innovations to augment the efficacy of training enhancements with a specific lens toward public health implications. The article substantiates the criteria and metrics for bolstering master's training initiatives for higher education instructors, underlining the distinct facets of national educational digitalization and the unique dynamics among higher education stakeholders. The contemporary relevance of revamping master's programs for teachers is underscored through exploring diverse digital learning formats employing information technologies, digital resources, and cloud-based tools. Initiatives aimed at reshaping the master's educational landscape to align with the digital era will entail validating the proposed model's efficacy through experimental validation across domestic and international educational realms.

A Review of the Research on the Influencing Factors of Enterprise Key Core Technology Breakthrough

The breakthrough of key core technology is a theoretical and practical strategic issue to realize the rise of the country. This paper analyzes the concept of key core technology and its breakthrough and analyzes its characteristics. Based on the perspective of participants, this paper summarizes the influencing factors of key core technology breakthroughs in enterprises: internal and external enterprises, universities and scientific research institutions, and government. This paper expands the relevant research on key core technology breakthroughs and provides inspiration for enterprises to carry out key core technology research and breakthrough practices.

Computer Network Design and Applications for West Java Legislative Elections

Legislative elections or Pileg are an annual schedule that is routinely held in Indonesia for five years. The concept of technology 4.0 has a huge opportunity to be applied in the legislative election process in this modern era. Legislative elections that use digital devices connected in such a way have more advantages than legislative elections that use conventional methods. The application of technology 4.0 in legislative elections has advantages in terms of effectiveness, data processing speed, and costs. The design of the legislative election system is made using a network where each polling station will be provided with one server to accommodate votes at the polling station. Then the server synchronizes the data to a central server to calculate the final results obtained. The server is built using the text-based Ubuntu Linux operating system. The application used is web-based, with the programming languages used being HTML, PHP, CSS, and Javascript. The test data shows that the time required for the system to complete each stage of the legislative election process is relatively faster than conventional legislative elections. So it can be concluded that the design of the legislative election system has met the requirements to accelerate the legislative election process. This research uses an SDLC system with a prototype model. Tests are carried out using BlackBox testing to test the suitability of the application with application access.

Innovative Applications of Virtual Reality and Augmented Reality in Education

This article explores the innovative applications of Virtual Reality (VR) and Augmented Reality (AR) technologies in the field of education. The article first introduces the basic concepts of VR and AR technologies and their potential in education, and then discusses their practical applications, challenges faced, and future development directions in education through three different sections. The article concludes by summarizing the importance of VR and AR technologies in improving the quality of education and enhancing the learning experience, and offers a perspective on the future development of these technologies.

Comparing risk factors and neonatal outcomes in women with intrahepatic cholestasis of pregnancy between assisted reproductive technology and spontaneous conception.

The aim of the present study was to investigate the incidence of intrahepatic cholestasis of pregnancy (ICP) as well as neonatal outcomes between conception via invitro fertilization (IVF) compared with spontaneous conception (SC) and screen the risk factors of ICP in IVF. This retrospective cohort study included 4467 puerperae who conceived via IVF, and 28 336 puerperae who conceived spontaneously and linked the information from neonates. The general linear model (GLM), multivariate logistic regression analysis, a forest plot, and nomogram were used to assess impact factors and risk prediction. Logistic analysis adjusted for confounders revealed significant differences in the ICP rate of singleton delivery (4.24% vs 3.41%, adjusted OR [aOR] = 1.26; 95% confidence interval [CI] 1.03-1.53, P = 0.025) and in groups with total bile acids (TBA) ≥40 and <100 μmol/L (14.77% vs 10.39%, aOR = 1.31; 95% CI: 1.06-1.63, P = 0.023) between IVF and SC. When we divided newborns into singleton and twins delivery, the GLM revealed a higher rate with Apgar score <7 (13.44% vs 3.87%, aOR = 3.85; 95% CI: 2.07-7.17, P < 0.001) and fetal distress for IVF in comparison with SC (19.32% vs 5.55%, OR = 3.48; 95% CI: 2.39-6.95, P < 0.001) in the singleton group. In multivariate logistic regression analysis, body mass index (BMI) (aOR = 1.29; P = 0.031), number of embryo transfers (ET) (single ET vs double ET, aOR = 2.82; P < 0.001), E2 level on the ET day (aOR = 2.79; P = 0.011), fresh ET which compared with frozen ET (FET) (aOR = 1.45; P = 0.014), embryo stage (cleavage embryo vs blastocyst, aOR = 1.75; P = 0.009) and severe ovarian hyperstimulation syndrome (OHSS) which compared with non-OHSS (aOR = 3.73; P = 0.006) were independent predictors of ICP. These predictive factors in the logistic regression model were integrated into the nomogram (C-index = 0.735; 95% CI: 0.702-0.764); for each patient, higher total points indicated a higher risk of ICP. We observed that the ICP rate of singleton delivery was higher in IVF than in SC. In ICP patients, there were higher rates of neonatal Apgar score <7 and fetal distress in IVF than SC and found the predictors of ICP in IVF.

The Application of Traditional Technology and Modern Concept in the Restoration and Protection of Calligraphy and Painting

In recent years, with the development of science and technology, painting and calligraphy mounting technology has added more and more modern science and technology. Under such a background, painting and calligraphy restoration work combines modern concepts and modern technologies, while traditional restoration and protection technologies also occupy an important position. The concept of "repairing the old as the old" has become the key principle in painting and calligraphy restoration work, but after restoration, the state of painting and calligraphy will also be affected. At present, the impact of its effect on the subsequent protection of calligraphy and painting remains controversial, especially the introduction of modern restoration technology in the work of painting and calligraphy mounting puts forward a new proposition for the restoration and protection of traditional painting and calligraphy. Based on this, the article analyzes the application of traditional technology and modern concepts in the restoration and protection of calligraphy and painting, with a view to bringing inspiration to relevant practitioners.

Application Of High Bandwidth Two-Stage Amplifier in Communication System

With the rapid development of communication technology, the application of high-bandwidth amplifiers in communication systems becomes more and more important. Currently researchers have applied high bandwidth two-stage amplifier technology in many fields such as cloud computing and data centers, video and audio transmission, virtual reality and augmented reality, Internet of Things, financial transactions, etc., and in this paper we will focus on its application in communication systems. In this paper, the basic principle and structure of two-stage amplifier are firstly described, and then the key theories of high-bandwidth technology including its concept, importance, principle and core technology of high-bandwidth design technology as well as stability analysis and design are elaborated, and the applications of high-bandwidth two-stage amplifiers in wireless communication system, fiber optic communication system, data center network, and satellite communication are enumerated. In summary, high-bandwidth two-stage amplifiers play a key role in a variety of communication systems, helping to provide stable, high-speed, long-range signal transmission. Through the research of this thesis, it is expected to provide new references and ideas for the research and development in the field of communication technology, and to promote the progress and innovation of communication system.

БАШТАЛГЫЧ КЛАССТЫН ОКУУЧУЛАРЫНДА ГРАФИКАЛЫК ОРГАНАЙЗЕРЛЕРДИ КОЛДОНУУ МЕНЕН ЭСЕПТӨӨЧҮ ОЙ ЖҮГҮРТҮҮНҮ ЖАНА ПРОГРАММАЛООНУ ҮЙРӨТҮҮНҮ ЖАКШЫРТУУ

Mathematical training is necessary to understand the principle of application of modern technology, its structure, scientific and technical concepts, and ideas. Mathematics is also important in a person's daily life. In modern scientific technology and the transformation of science into socially productive forces, mathematics remains the language of science and technology. The article proposes to teach and familiarize primary school students with the use of graphic organizers. In this application, you can prepare the most necessary tasks for elementary school students. Using graphic organizers is one of the best ways to improve children's interest, computational thinking, and learning to code. Familiarity with programming from elementary school is considered the most necessary so that students in the future can think independently and find the answer to a given problem.

Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review

Integration of advanced digital technologies along with ensuring environmental sustainability in the logistics sector is becoming the need of the hour novel multimodal transportation concept. The rapid technological development in the era of industry 4.0 can not only create new opportunities in achieving highly efficient, intelligent, and smart logistics systems but also enable new business models for value addition, additionally, this novel system will also avoid environmental degradation and use of scarce natural resources that contribute to climate change. This paper summarizes the research trends of these technologies in multimodal logistics systems since 2005 through a systematic literature review. The results revealed a mixed picture of the situation, starting from emerging technologies like artificial intelligence, machine learning, and blockchain becoming key technological concepts for multimodal logistics systems to government policy hurdles and lack of impact breakthroughs in the industry. However, the results show that adaptation to these technologies improves the overall environmental, economic, and social sustainability of the system.

Principles of artificial intelligence in radiooncology.

In the rapidly expanding field of artificial intelligence (AI) there is awealth of literature detailing the myriad applications of AI, particularly in the realm of deep learning. However, areview that elucidates the technical principles of deep learning as relevant to radiation oncology in an easily understandable manner is still notably lacking. This paper aims to fill this gap by providing acomprehensive guide to the principles of deep learning that is specifically tailored toward radiation oncology. In light of the extensive variety of AI methodologies, this review selectively concentrates on the specific domain of deep learning. It emphasizes the principal categories of deep learning models and delineates the methodologies for training these models effectively. This review initially delineates the distinctions between AI and deep learning as well as between supervised and unsupervised learning. Subsequently, it elucidates the fundamental principles of major deep learning models, encompassing multilayer perceptrons (MLPs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, generative adversarial networks (GANs), diffusion-based generative models, and reinforcement learning. For each category, it presents representative networks alongside their specific applications in radiation oncology. Moreover, the review outlines critical factors essential for training deep learning models, such as data preprocessing, loss functions, optimizers, and other pivotal training parameters including learning rate and batch size. This review provides acomprehensive overview of deep learning principles tailored toward radiation oncology. It aims to enhance the understanding of AI-based research and software applications, thereby bridging the gap between complex technological concepts and clinical practice in radiation oncology.

Implementasi Building Information Modeling (BIM) terhadap Mutual Check 100 pada Pekerjaan Struktur Proyek Rusun Asrama Polisi Pingit Yogyakarta

Along with the development of Industry 4.0 technology, Building Information Modeling (BIM) has emerged as an innovation in planning, designing, and executing construction projects. BIM is a technological concept with methods and workflows based on project work information, all integrated into a digital model, which is then translated into a three-dimensional representation to enhance building design and construction productivity. In the Police Dormitory Apartment Project in Pingit, the need for quick and accurate calculations, cost projections, and volume of structural work is crucial. This can be easily realized through the application of Tekla Structures Building Information Modeling (BIM). It is expected that there will be a clear depiction of how BIM-based construction technology can be effectively utilized in this project. The method used is the BIM method with Tekla as the supporting software. From this modeling, it was found that the total cost of foundation work had a cost difference of IDR 19.973.729,42, which is 1,63%; the total cost of pedestal column work had a cost difference of IDR 13,713,600.03, which is 6,37%; and the total cost of sloof work had a cost difference of IDR 14.423.328,99, which is 6,06%. The total cost difference for all structural work on the foundation, sloof, and pedestal column was IDR 48.110.658,44, which is 2.86%. This suggests that the cost calculations using Tekla Structures are smaller compared to the MC100 work quantity.

Research status and application of artificial intelligence large models in the oil and gas industry

This article elucidates the concept of large model technology, summarizes the research status of large model technology both domestically and internationally, provides an overview of the application status of large models in vertical industries, outlines the challenges and issues confronted in applying large models in the oil and gas sector, and offers prospects for the application of large models in the oil and gas industry. The existing large models can be briefly divided into three categories: large language models, visual large models, and multimodal large models. The application of large models in the oil and gas industry is still in its infancy. Based on open-source large language models, some oil and gas enterprises have released large language model products using methods like fine-tuning and retrieval augmented generation. Scholars have attempted to develop scenario-specific models for oil and gas operations by using visual/multimodal foundation models. A few researchers have constructed pre-trained foundation models for seismic data processing and interpretation, as well as core analysis. The application of large models in the oil and gas industry faces challenges such as current data quantity and quality being difficult to support the training of large models, high research and development costs, and poor algorithm autonomy and control. The application of large models should be guided by the needs of oil and gas business, taking the application of large models as an opportunity to improve data lifecycle management, enhance data governance capabilities, promote the construction of computing power, strengthen the construction of “artificial intelligence + energy” composite teams, and boost the autonomy and control of large model technology.

Rare-earth nanocrystalline scintillators for biomedical application: A review

Rare-earth scintillating materials have been widely utilized in nuclear image technique, security screening and high energy physics research. Researchers have devoted extensive efforts to size design, surface modification, and drug assembly to transform them into prospective nanomaterials for diagnostics and cancer treatment. This review endeavors to summarize the advanced preparation technology and design concept of rare-earth nanocrystalline scintillators (RENSs), and offers fundamental guidance for the application of various materials in biomedical research. Specifically, it focuses on RENSs with excellent biocompatibility, outstanding stability, uniform size distribution, and strong drug loading capacity to meet subsequent practical applications. Additionally, this review reports on the application of RENSs in the biomedical field. Specifically, bioimaging and antitumor therapy are the most prevalently utilized and promising areas. X-ray excited optical imaging (XEOL) is combined with advanced imaging techniques (CT, MRI, etc.) to obtain comprehensive information about deep tissue. The combination of X-ray radiation therapy and photodynamic therapy technology can realize safe anti-tumor therapy under the condition of low-dose irradiation. Furthermore, this review also enumerates several recent highlight research strategies and the prospects of RENSs in the biomedical application in the future.

Enhancing Wave Energy Converters: Dynamic Inertia Strategies for Efficiency Improvement

Wave energy conversion is a promising field of renewable energy, but it still faces several technological and economic challenges. One of these challenges is to improve the energy efficiency and adaptability of Wave Energy Converters to varying wave conditions. A technological approach to solve this efficiency challenge is the negative spring mechanisms illustrated in recent studies. This paper proposes and analyzes a novel negative spring technological concept that dynamically modifies the mass and inertia of a Wave Energy Converter by transferring seawater between its compartments. The added value of the presented technology relies on interoperability, ease of manufacturing and operating, and increased energy efficiency for heterogeneous sea states. The concept is presented in two analyzed alternatives: a passive one, which requires no electrical consumption and is purely based on the relative motion of the bodies, and an active one, which uses a controlled pump system to force the water transfer. The system is evaluated numerically using widely accepted simulation tools, such as WECSIM, and validated by physical testing in a wave flume using decay and regular test scenarios. Key findings include a relevant discussion about system limitations and a demonstrated increase in the extracted energy efficiency up to 12.7% while limiting the maximum power extraction for a singular wave frequency to 3.41%, indicating an increased adaptability to different wave frequencies because of the amplified range of near-resonance operation of the WEC up to 0.21 rad/s.

The Diatomite Grinding Technology Concept for the Protection of Diatomite Shells and the Control of Product Grading.

Diatomite deposits in Poland are located in the Podkarpackie Voivodeship, and the only active deposit is in Jawornik Ruski. Therefore, it is a unique material. Improved rock processing methods are constantly in demand. In the research presented here, we have used research methods such as X-ray diffraction (XRD), scanning electron microscope (SEM), particle shape analysis, and appropriate sets of crushing machines. Diatomite comminution tests were carried out on test stands in different crushers (jaw crusher, hammer crusher, high-pressure roller press, ball mill) using different elementary crushing force actions: crushing, abrasion, and impact, occurring separately or in combination. The machines were tested with selected variable parameters to obtain products with a wide range of grain sizes ranging from 0 to 10 mm. The ball mill (yield 87%, system C3) and the hammer crusher with HPGR (high-pressure grinding roller) (yield 79%, system D2 + D3) have the greatest impact on diatom shell release and accumulation in the finest 0-5 μm and 5-10 μm fractions. For commercial purposes, it is important to obtain very fine fractions while keeping the shells undisturbed.

Enhancing sustainability in electric mobility: Exploring blockchain applications for secure EV charging and energy management

The global shift towards reducing carbon emissions has spurred a growing interest in electric vehicles (EVs) over traditional fossil fuel-based internal combustion engines. Concurrently, blockchain technology has emerged as a transformative solution across various sectors, characterized by its decentralized database and distributed ledger. Its notable attributes, including transparency, immutability, traceability, security, auditability, and authenticity, have led major companies to recognize its potential integration into the EV sector. As a result, there has been a steady increase in case studies and research initiatives exploring blockchain applications in EVs. This article provides a detailed overview of the use of blockchain in the EV domain, focusing on the challenges and applications in four key areas: EV charging infrastructure, energy trading, supply chain management, and energy management. Initially, the basic concepts of blockchain technology are briefly explained, followed by its applications in different fields. The study presents the opportunities and crucial requirements for implementing blockchain technology for secure energy trading, charging, energy management, and supply chain operations. While blockchain can improve security and efficiency in the EV domain, it remains vulnerable to various attacks. This article explores these attacks and other potential challenges in integrating blockchain technology in the EV sector. The main findings of this rEView provide insights into the importance of blockchain in the EV sector and underscore the need to overcome existing challenges for the widespread adoption of this technology in the near future.

Professional development sessions increased teacher knowledge and confidence to include agriculture in core curricular courses

AbstractAgricultural systems are complex and can be used as examples to teach science, technology, engineering, and math (STEM) concepts. However, inclusion of agriculture in core STEM courses is often limited. Three professional development sessions for K‐12 teachers were offered in 2021–2022 (hybrid or remote sessions) and repeated in 2022–2023 (in‐person sessions) to highlight ways that agricultural plant production systems could be incorporated into core courses like biology, environmental science, chemistry, and math. Teacher participants asked how knowledge level and confidence were influencing their inclusion of agriculture into STEM courses before and after the sessions, and gains in knowledge on content‐based questions were also evaluated. Response rates in Year 1 ranged from 8.0% to 38.5%, and usable response rates in Year 2 ranged from 47% to 68%. The availability of lessons or activities and teacher content knowledge both increased teacher likelihood to incorporate in three sessions. However, the additional time needed to incorporate new lessons was identified as affecting the likelihood to incorporate materials after the Year 1 ecology session. Teacher confidence to incorporate agricultural lessons or activities into their courses increased in four of the sessions, though teachers became more aware that limited resources are available to help increase adoption. Awareness of how agriculture can be used to meet learning standards also improved teacher confidence in four sessions. Average score on knowledge‐based questions increased in all six sessions, but was only significant for two sessions. These sessions were successful at increasing teacher knowledge and confidence to incorporate agriculture into STEM courses.

Macroscopic liquid superlubric triboelectric nanogenerator: An in-depth understanding of solid-liquid interfacial charge behavior

Triboelectric nanogenerator (TENG) has been seen as one of the most promising energy harvesting technologies. However, there are an irreconcilable contradiction between low friction and high electrical output performance of the TENG. Here, we have devised a macroscale liquid superlubric triboelectric nanogenerator based on solid-liquid-solid structure, leveraging the concept of liquid superlubricity technology, resulting in a remarkable increase in both the open circuit voltage and short-circuit current by 53.0 % and 58.4 %, respectively. This huge increase in electrical output performance is accompanied by a 99.1 % reduction in friction coefficient (≈ 0.0025) and 99.993 % reduction in wear rate (≈ 0.76×10−7 mm3/N·m), when compared to those of a lubricant-free triboelectric nanogenerator. This work delves into the lubrication and charge transfer mechanisms. The liquid superlubricity technology achieves friction reduction through a hybrid mechanism combining boundary and hydrodynamic lubrication. And the high outputs arise from the charges transfer at solid-liquid interface. The triboelectric charges generated by the friction pair are transferred from solid to the lubricating liquid. Meanwhile, the lubricating liquid promotes electron transfer and contributes additional electrons. Our work provides profound insights into the lubrication and charge transfer mechanisms at solid-liquid interfaces, and addresses the paradox of high output and low friction in TENGs.

Efektivitas Model Pembelajaran STEAM (Science, Technology, Engineering, Art, and Mathematics) terhadap Hasil Belajar Matematika Sekolah Dasar

One of the many abilities needed by students in the 21st century is problem-solving skills, especially in the teaching and learning process of mathematics. As for STEAM, which is an approach that connects the concepts of insight, technology, engineering, art and mathematics, so that students gain insight based on the learning process experienced, this learning process is a learning process when students experience learning directly so that they gain experience in their surroundings. The approach used in this learning is that students can show by explaining critically, techniques to math. Teaching various problems for math exercises with various methods that do not motivate students to participate in learning and still use the lecture method where only the teacher is active without involving students causing students to be passive and resulting in monotonous learning. The research was conducted at MI Hidayatul Husna Krasak. This research has the aim of making STEAM effective as a learning method that can affect student learning outcomes in mathematics lessons with space building material in elementary school. Students in this study used as many as 20 people with the sample collection technique used, namely purposive sampling.

Toward a community model of scholarly editing: FAIR/CARE, research ethics, & labour visibility

Historically, scholarly editions of music have identified a managing editor and individual volume editors. Other contributors might receive an acknowledgement with a vague description of activities, with institutional support often appearing in the printed metadata. This model’s emphasis on single scholars perpetuates a myth, relying heretofore upon predominantly invisible labour. Digital editions require interdisciplinary collaboration combining musicological skills, technical skills, and infrastructural resources, thus challenging this model’s ability to endure. Moreover, digital editions proffer opportunities for reconsidering the roles, workflows, and knowledge structures involved in critical musical scholarship. Situated at the intersection of currently running and recently completed digital projects, continuously emergent tools, sociology, and philosophy, this essay reflects on the role of the editor in the digital age. Beginning with Howard Becker’s art worlds model of creative communities, it suggests a model based on FAIR (Findable, Accessible, Interoperable, and Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles and the Music Encoding Initiative (MEI). MEI affords expansive metadata recording for contributors – composers, librettists, performers, editors, researchers, funders, etc. – to a work and its embodiments, which in turn enables broader visibility and empowers greater acknowledgement of the labour involved in such projects. Alongside other digital projects, this essay pays particular attention to how these technological and team-focused concepts are at- and in-play in the Reger-Werkausgabe Online.