bluuebunny/crossref_metadata_2025 huggingface dataset:
Matematiska och etiska resonemang i förskolan – didaktisk modellering som intervention
Authors: Hedefalk Maria , Sumpter Lovisa , Eriksson Helena
Published: June 2024

I artikeln undersöks didaktiska val i undervisning där matematik och hållbar utveckling möts. Undervisningens syfte var att uppmuntra förskolebarn att kollektivt resonera kring fördelningsproblem. Det var barnens resonemang om möjliga lösningar som låg i fokus, inte ett rätt svar. Förskollärarens roll var att skapa möjligheter för agens: att barnen kunde göra egna bidrag i kunskapandet, där barnen kunde ställa olika konflikterande perspektiv om hållbara lösningar mot varandra och diskutera lösningarna. Utifrån metoden didaktisk modellering förde forskare och förskolläre diskussioner om undervisningen utifrån olika expertis. Dokumentationen som skapades under dessa möten analyserades, för att pröva om en didaktisk modell som hanterar de didaktisk vad- och hur-frågorna kunde hjälpa förskollärarna att skapa agens i undervisningen. Resultatet visar hur reflektion kring de didaktiska frågorna kan skapa möjligheter för agens i undervisningen. Didaktiska lösningar handlade om organisation av tid och miljö, om svårigheter att para ihop barn för kollektivt arbete samt språkutvecklande arbete.

Mathematical and ethical reasoning in preschool – didactic modeling as an intervention
The article examines didactic choices in teaching where mathematics and sustainable development meet. The purpose of the teaching was to encourage preschool children to reason collectively about distribution problems. It was the children's reasoning about possible solutions that was in focus, not a correct answer. The preschool teacher's role was to create opportunities for agency: enable childrens own contributions to knowledge, pit different conflicting perspectives on sustainable solutions against each other and discuss the solutions. Based on the didactic modeling method, researchers and preschool teachers discussed the teaching based on different expertise. Documentation created during these meetings was analysed, in order to investigate if the didactic what and how questions could help the preschool teachers create agency in teaching. The result shows how reflection on the didactic issues created opportunities for agency in relation to organization of time and environment, of pairing children for collective work and language development work.
Hukum Keuangan Negara: Kontrol Negara Pada Holding BUMN Industri Pertahanan
Authors:   Universitas Muhammadiyah Tangerang, Darmawan Agus
Published: June 2024

Keputusan Pemerintah membentuk Holding BUMN Industri Pertahanan (Defend ID) diharapkan akan mempercepat kemandirian teknologi dan kedaulatan negara. Selain itu juga menciptakan keseimbangan Pembangunan industry pertahanan dengan tetap memperhatikan core competencies dan prinsip dual use of technology dalam negeri yang akan meningkatkan bargaining power, koordinasi antar BUMN, dan control pemerintah yang lebih baik. Namun paradigma yang berkembang dalam masyarakat memunculkan kekhawatiran, akankah negara kehilangan kontrol atas ex-BUMN yang ketika menjadi anggota holding akan secara otomatis berubah menjadi “bukan BUMN” lagi?
Pembinaan Generasi Muda dalam Pendidikan Islam
Authors:   Universitas Muhammadiyah Tangerang, Subarkah Milana Abdillah
Published: June 2024

Buku ini ditulis sebagai upaya untuk memberikan informasi penting kepada para pembaca tentang pendidikan Islam yang sangat diharapkan mampu memberikan nilai, referensi, pembinaan, motivasi, dan pengalaman kepada para pendidik, dosen, guru, dan mahasiswa maupun khalayak umum, ditengah semakin banyaknya tantangan dan ancaman yang diakibatkan adanya perkembangan kemajuan teknologi informasi dan komunikasi terhadap keberlangsungan generasi muda. Pendidikan Islam merupakan satu diantara strategi dalam memberikan tindakan preventif menyelamatkan nilai moral generasi penerus bangsa. Penulis berharap semoga buku ini dapat memberikan manfaat terutama kepada para akademisi, pelaku pendidikan, dan juga para generasi muda untuk sama-sama berperan aktif melahirkan sebuah peradaban yang maju dan mecerahkan.
Necesidades de inclusión en educación superior en México, desde la voz del alumnado con discapacidad visual
Authors: Velázquez Wong Karime , Ortiz Macías Catalina  Guadalupe
Published: June 2024

Esta investigación tiene como objetivo identificar las barreras de inclusión que experimenta el estudiantado con discapacidad visual (DV) en educación superior en México. Se utilizó un método cualitativo, a través de la entrevista a profundidad para explorar las perspectivas e ideas del alumnado, como una fuente necesaria de información que aporte a la comprensión y generación de procesos más inclusivos en educación superior (ES). Participaron diez estudiantes de diversas carreras y semestres, de ocho universidades de México. A partir de los datos analizados se organizaron las respuestas por temáticas centradas en indagar los antecedentes educativos y las barreras de inclusión existentes en ES y cómo el alumnado con discapacidad visual las afronta. Los resultados apuntan a una mejora en la infraestructura para mayor accesibilidad y movilidad en los espacios comunes de interacción social, mayores apoyos tiflotecnológicos y tiflotécnicos para el acceso al aprendizaje, así como a la formación y capacitación docente en metodologías de enseñanza, ajustes razonables y diversificación del contenido. Se concluye con la reconsideración de los aspectos que obstaculizan la construcción del conocimiento y el aprendizaje del alumnado con DV y que son indispensables para su inclusión en las instituciones de educación superior.
Palabras clave: Accesibilidad; barreras de inclusión; discapacidad visual; educación superior; participación
seguridad internacional y la vulnerabilidad de ataque nuclear para los Estados de la Unión Europea no miembros de la OTAN
Authors: Torres Sandoval Joshua , García Ramírez Elizabeth
Published: June 2024

El  artículo estudia a los Estados miembros de la Unión Europea que no pertenecen a la OTAN y son vulnerables por compartir la región-cercanía fronteriza con miembros de la OTAN que pueden sufrir un hipotético ataque con armamento nuclear ante un conflicto con uno o más Estados adversarios. El trabajo analiza disposiciones legales vinculadas entre la OTAN y la Carta de las Naciones Unidas para mantener la paz y seguridad internacionales en el contexto del riesgo que corre  la región europea como campo de batalla. La investigación identificó la capacidad balística nuclear en alcanzar la región europea y las localizaciones estratégicas de la OTAN. El eje del estudio es el análisis de los planes de emergencia de respuesta para la población civil  de los cinco Estados de la Unión Europea  no miembros de la OTAN ante una eventualidad nuclear cerca de sus fronteras con los Estados de la OTAN. El trabajo identificó disparidad en la preparación para la respuesta de emergencia entre los Estados analizados. Las conclusiones exponen la vulnerabilidad de la región y la importancia de los planes de emergencia, que aún muestran deficiencias por atender, reiterando la primordialidad de promover el desarme y la prohibición de las armas nucleares.
MARKET EFFICIENCY AND STABILITY IN THE ERA OF HIGH-FREQUENCY TRADING: A COMPREHENSIVE REVIEW
Authors:   Graduate Research Assistant, Department of Finance, Louisiana State University, Baton Rouge, Louisiana, USA., Nahar Janifer , Nishat Nourin ,   Graduate Researcher, Master of Science in Management Information Systems, College of Business, Lamar University, Texas, USA, Shoaib A S M ,   Graduate Researcher, Master of Science in Department of Electrical Engineering, Lamar University, Texas, USA, Hossain Qaium ,   Graduate Researcher, Master of Science in Information Management System, College of Business, Lamar University, Texas, USA
Published: June 2024

This comprehensive review analyzes the impact of high-frequency trading (HFT) on market efficiency and stability, synthesizing insights from 50 peer-reviewed articles, industry reports, and regulatory documents. High-frequency trading, which leverages sophisticated algorithms and high-speed data networks, has significantly transformed financial markets. The review confirms that HFT enhances market efficiency by providing liquidity and facilitating rapid price discovery, contributing to tighter bid-ask spreads and lower transaction costs. However, it also highlights several challenges, including market fragmentation, increased volatility, and potential for market manipulation. The review examines how HFT can exacerbate market instability and systemic risks, as demonstrated by incidents like the 2010 Flash Crash. It underscores the importance of robust risk management practices and regulatory measures to mitigate these risks and enhance market resilience. While current regulatory frameworks have had some success, continuous adaptation is necessary to keep pace with rapid technological advancements. Additionally, the review points to the potential of AI and machine learning in improving market surveillance and risk management. Ultimately, the findings suggest that a balanced approach to regulation and innovation is crucial to maximizing the benefits of HFT while ensuring market integrity and stability.
The Inverted Yield Curve and the Economic Downturn
Authors: Cwik Paul F.
Published: June 2024

This paper presents an answer to why the yield curve tends to invert one year before a recession. The capital-based macroeconomic model used in this paper traces out the effects of an injection of short-term working capital into the model. There are two consequences of this injection: the Wicksell effect and the Fisher effect. The Wicksell effect entails the downward pressure on interest rates, while the Fisher effect entails the upward pressure on interest rates. The short-term credit can create both short- and long-term malinvestments in the social structure of production. These malinvestments are unsustainable and must be liquidated. The process of liquidation phase may take the form of a credit crunch, a real resource crunch, or a combination of the two. Each scenario culminates in an inverted yield curve approximately one year before the upper-turning point of a recession.
The Coordination Problems, the Market and the Firm
Authors: Kapás Judit
Published: June 2024

The aim of this paper is to contribute to a better understanding of the market and the firm through an analysis of the coordination problem. An important question is to what extent the nature and process of the coordination differs in the market from that within the firm. The paper deals only with those aspects of this issue which are related to a distinction between two types of coordination proposed by Klein (1997) and Sautet (2002). The author presents three dilemmas stemming from this framework and investigates the similarities and differences between the firm and the market by providing answers to these.
Rule-following, Praxeology, and Anarchy
Authors: T. Long Roderick
Published: June 2024

Wittgenstein’s rule-following paradox has important implications for two aspects of Austrian theory. First, it makes it possible to reconcile the Misesian, Rothbardian, and hermeneutical approaches to methodology; second, it provides a way of defending a stateless legal order against the charge that such an order lacks, yet needs, a final arbiter.
Optimization Strategies for Mathematical Algorithms in Computer Programming
Authors: Zhang Hongxin
Published: June 2024

Computer programming is an important part of computing information technology, mathematical operation is one of the main modules of computer programming, through the optimization of mathematical operation to simple computer programming algorithm, can improve the efficiency of computer software. Therefore, in order to improve the efficiency of computer operation, it is particularly important to optimize the mathematical algorithms. Based on this, this paper studies the optimization strategy of mathematical algorithm in computer programming. Firstly, a brief overview of mathematical algorithm and computer programming is made, secondly, the role of mathematical algorithm in computer programming is analyzed, and finally, the optimization strategy of mathematical algorithm in computer programming is given.
Research on the Construction of Evaluation System of Tax Professional Training Based on OBE Concept
Authors: Li Min , Zhao Liangxu
Published: June 2024

In order to effectively carry out a new round (2021-2025) of audit and evaluation work, the effect of professional personnel training scientific and reasonable evaluation, this paper puts forward the idea of constructing the evaluation system of professional personnel training in taxation based on the OBE concept. It discusses the OBE core concept of the design of the taxation professional talent training evaluation system from the aspects of the relationship between the training objectives and talent training requirements, the characteristics of students' learning results, the principles and procedures of the evaluation system construction, and the evaluation organization and implementation.
Research on Information Literacy of College Students Based on Data Mining
Authors: Juan Hong
Published: June 2024

With the rapid development of the Internet and information technology, it has brought convenience to the learning and life of college students, but it has also triggered a series of problems, such as online fraud, online gambling, and addiction to online games, online violence, and online rumors. This article uses data mining techniques and constructs data mining models to deeply explore the internet behavior of college students, timely discover abnormal internet behavior of students, analyze the reasons, and propose measures for cultivating information literacy of college students, providing reference for organizing network management activities and regulating internet behavior of college students.
Design and Implementation of Raspberry Pi Face Recognition + Thermal Imaging Temperature Measurement and Body Temperature Data Cloud Processing System
Authors: Zhou Yanlin , Xu Tingting
Published: June 2024

For temperature measurement in public places, this paper proposes and realizes a Raspberry Pi face recognition + thermal imaging temperature measurement and temperature data cloud processing system. This system uses a Raspberry Pi device as the temperature measurement terminal, connects the MLX90640 thermal imaging sensor and the BME280 environmental sensor for data collection, and calculates the core temperature of the human body from the collected data. The temperature measurement terminal uses Python language with OpenCV library for image processing, Alibaba Cloud API for face recognition, and the server side uses Python language with Django library for development. The system can quickly measure temperature and count the temperature measurement list, and view it in the cloud in real time to improve management efficiency.
Comparative Analysis of the Precipitation Difference Between Sanya Airport and Haikou Airport Caused by Typhoon 2117
Authors: Qiuzhen Chen , Jiaao Xu , Juemin Dong , Zixian Ou
Published: June 2024

By using ECMWF and FNI reanalysis data, airport self-observation precipitation data, satellite TBB data, and precipitation distribution data of Hainan Meteorological Bureau, the rainfall characteristics of Sanya Phoenix Airport and Haikou Meilan Airport on the day of Typhoon Lionrock on the 17th, autumn 2021 were analyzed. The results found that: (1) The lifting effect of the terrain and the invasion of weak cold air intensified the intensity of the rainstorm in Hainan. The rainstorm center was located on the windward slope of Wuzhishan Mountain. Fenghuang Airport was in the leeward slope environment, while Meilan Airport was in the windward slope. (2) The convergence of southerly air flow and southeast air flow and the abundant water vapor brought by the dynamic action of upper low-level jet stream are favorable conditions for triggering and maintaining heavy rain. (3) There was a negative correlation between heavy precipitation and brightening temperature of black body. The direct influence system of this weather process was mesoscale convective cloud cluster. (4) The rainstorm occurs in the area of dense θse line, which is conducive to the development of inclined vorticity. (5) The positive vertical helicity of 850hpa is a good indicator of precipitation in the next 6 hours.
Eutrophication Control and Treatment Measures
Authors: Haiying Huo , Hao Zhang , Zigeng Han , Rong Qu , Dong Quan , Xinpei Ji , Dalu Zhao , Hao Fu , Luchen Wang
Published: June 2024

Eutrophication usually refers to the excess of nutrients in water bodies, which often leads to the deterioration of water quality or the collapse of ecosystems.Eutrophication is a global problem with direct and indirect impacts on human health, agricultural output and ecosystems.This paper will review eutrophication standards, and through the analysis of references, it aims to explore the research progress and development trend of existing eutrophication standards, and explore how to improve water quality and restore ecosystems by reducing eutrophication, in order to provide scientific basis for the control and prevention of eutrophication.
Comprehensive Benefit Analysis of Water Resources in Guangzhou by AHP-TOPSIS Model
Authors: Chen Jingwei , Zhou Yueying , Chen Chuju , Lan Liyue , Huang Jiaxin
Published: June 2024

Water resources play a pivotal role in ensuring high-quality socio-economic development. Comprehensive benefit analysis of water resources is beneficial for enhancing the efficiency on water utilization, as well as realizing sustainable utilization of limited water. This paper constructs an index system, including four aspects: ecology, economy, society, and water resource development and utilization (WRDU). By employing the hierarchical analysis and improved TOPSIS model, we evaluate the characteristics and interfering factors of the comprehensive benefits on water resources in Guangzhou during 2012 and 2021. The results show: (1) The overall comprehensive benefit values of water resources in Guangzhou are between 0.318 and 0.500 , and exhibits a gradual upward trend, with the economic and social benefits increasing notably, while the ecological and WRDU benefits apparently significantly decline; (2) The growth rate of social benefits exceeds that of economic benefits; (3) Due to factors such as socio-economic development in Guangzhou, adjustments in water use structures, ecological environment management, population growth, and the various water resource management policies, the ecological benefits rise after its first declin, whereas the benefits from water resource development and utilization follow an initial rise then decrease pattern.
Research on the Development Path of Agricultural Tourism Based on the Sustainable Development of Regional Economy
Authors: Ximei Zhang
Published: June 2024

The gradual acceleration of urbanization and industrialization in China has led to serious pollution of the urban ecological environment, which has adversely affected the health of urban residents. Rural tourism can help city residents get away from traffic jams and polluted urban environments and breathe more fresh air. In addition, rural tourism has a deeper spiritual pursuit. From the perspective of ecological economy, the development prospect of agricultural tourism is broad, and there are many tourism resources in urgent need of development. Therefore, it is necessary for rural areas to strengthen the research on the development of agricultural tourism from the Angle of ecological economy and provide corresponding help for agricultural development. By studying the current situation of agricultural tourism development in Guizhou, this paper makes the following research on the prospects of sustainable regional economic development in the future.
A Design Methodology to Maintain Authenticity in Contemporary Restoration & Renovation Projects
Authors: Qian Chengyue
Published: June 2024

The growing instability of present circumstances has raised global anxiety and cognitive crisis. Designers start to doubt and rethink the relationship between space, people, and the future. In the ten wings of Yi (which is also known as I Ching or Book of Changes), ancient Chinese philosophers state that knowing the past is the key to learning about the future. Design plays a big role in the heritage of historical architecture, and the history will always be a critical source for design. In order to maintain authenticity of the space, this research structures the proposal of a new design methodology that will link the target space with the history of the site and set out design schemes, creating catalog of criteria and reviewing the old construction to understand the value of the past in the design practice of restoration and renovation projects.
An Analysis of the Income Elasticity of Education Expenditure of Urban Residents in Hubei Province
Authors: Cai Qian , Zhang Bing
Published: June 2024

With the proposal of prioritizing education development and the first-time positioning of education, technology, and talent as top strategic priorities in China, the country and the people are paying more and more attention to education, and investment in education is increasing. This paper analyzes the per capita disposable income and household education expenditure of urban residents in Hubei Province from 2013 to 2020, calculates the elasticity of household education expenditure to income and its changing trend, and analyzes the sensitivity of changes in household education expenditure to changes in disposable income. It is found that household education expenditure of urban residents is relatively sensitive to changes in disposable income. Based on the actual situation of education investment in Hubei Province. This paper proposes suggestions for promoting rational consumption of education among urban residents in Hubei Province, in order to provide reference for the formulation of relevant education policies.
On the Identification of the Work Nature of Generative Artificial Intelligence Creation
Authors: Jiang Jiacheng
Published: June 2024

In the new scientific and technological revolution caused by the cognitive paradigm of law and the development of disciplinary update is on the rise, the "generative artificial intelligence" chat machine represented by ChatGPT, Wenxin Yiyi, etc., came into being. Based on the characteristics of "generative artificial intelligence", it is very likely to trigger new thinking about the right attribute and attribution of "Works of art" in the field of copyright." Generative AI" chat machine is a natural language processing tool developed based on deep neural network architecture, which is essentially a neural network machine learning language model. This paper analyzes the development of copyright law by literature analysis and historical analysis, and the origin of the concept of "work".Under the idea of distinction, the identification of works should be discussed separately from the ownership of rights. According to the standards of the Copyright Law for the identification of works, when the content generated by "generative artificial intelligence" meets the basic requirements of "thought - expression + originality + intellectual achievement" and meets the field limitation of "literature, art and science", it should be included in the scope of work protection.
ROS-based Library Book Precise Positioning Guidance Robot
Authors: Wu Zhiteng , Ma Yuanjia
Published: June 2024

In order to solve the problem of book search and positioning in the library, this paper introduces a library book precise positioning guidance robot based on robot operating system (ROS). The robot has functions such as synchronous positioning and mapping, autonomous navigation and obstacle avoidance. First of all, the library book precision positioning guidance robot uses sensors such as lidar and cameras to realize the perception of the library environment, and at the same time uses image recognition technology to identify books. Secondly, the two-dimensional raster map of the library is drawn by using the SLAM algorithm, and the global and local optimal path planning and obstacle avoidance function are realized by using the Move-base function package, so as to realize the navigation and positioning tasks in the library.
A Practical Study of "Cloud Earth Connection" for Blended Teaching of College English Reading
Authors: Fan Yanxia
Published: June 2024

This paper presents a comprehensive exploration of the innovative teaching methodology known as the "Cloud Earth Connection" in the context of college English reading instruction. Grounded in the principles of blended teaching, this practical study delves into the seamless integration of cloud technology with traditional pedagogy, fostering a dynamic and interactive learning environment. Through a rigorous examination of this approach, the paper investigates its pedagogical implications, effectiveness, and impact on student engagement and learning outcomes. Drawing on empirical research and theoretical frameworks, the study assesses the practical applications and challenges of the "Cloud Earth Connection" method, offering valuable insights into its potential to enhance college English reading education. This research contributes to the growing body of knowledge on blended teaching strategies and provides practical guidance for educators seeking innovative and effective ways to engage students in the digital age.
Cross-cultural Management Problems and Countermeasures of Multinational Corporations: Take M Group's Acquisition of X Company as an Example
Authors: Guo Yudi , Feng Chengjin
Published: June 2024

With the development of economic globalization, Merger and Acquisition wave is becoming more and more popular in Chinese enterprises. In recent years, driven by the policies of the Belt and Road Initiative, China's "going global" has become an inevitable trend of development. Due to the staggered cultural backgrounds of different countries and different histories and cultures, the cross-cultural management of enterprises directly affects the exertion of the overall management efficiency of enterprises. Taking M Group M&A X Company as an example, this paper analyzes the influence of M Group on the decision-making of M Group M&A X Company, and concludes that multinational enterprises, on the basis of in-depth understanding of the enterprise culture and foreign culture, must choose the appropriate cross-cultural management mode within the enterprise, so that different types of culture can achieve the best integration effect, and provide reference suggestions for Chinese enterprises to "go out."
Research on the Development Mode of “TCM+” Urban Health Care Service Based on the Data of W City
Authors: Li Lingshan
Published: June 2024

As the development of Traditional Chinese Medicine (TCM) health care services expands in urban areas, the health care needs of urban residents have become increasingly prominent. To ensure targeted and well-planned development of TCM health care service institutions and to establish a development model that caters to the needs of urban residents, this study conducted a questionnaire survey and interview research on the health care demands of urban residents and the distribution of TCM health care service institutions in W City. The results revealed misconceptions in the urban residents’ understanding of TCM cultural knowledge, a lack of rationality in the layout of urban TCM health care service institutions, a lack of regulatory mechanisms in grassroots TCM health care institutions, and a requirement to raise industry entry barriers. In response to these findings, this study proposed corresponding countermeasures and suggestions in terms of demand, promotion, and management.
Effectiveness of CT-based Radiomics Features in Radiation Therapy for Patients with Non-Small Cell Lung Cancer
Authors: Jin Ronghui
Published: June 2024

To analyze the effectiveness of CT-based radiomics features in the radiotherapy for patients with non-small cell lung cancer. 100 patients with non-small cell lung cancer who received corresponding treatment in the hospital from February 2022 to February 2023 were selected as subjects of the study, and they were randomly divided into the training group and the validation group. Patients in both groups underwent stereotactic radiotherapy. The study collects computed tomography (CT) images of the patients before treatment and extracts imaging features. The study uses the Least Absolute Shrinkage and Selection Operator (LASSO) to screen for the best omics features and analyzes the relationship between the efficacy of radiation therapy and radiomics features. The independent risk factors for the effectiveness of radiation therapy in patients include carcinoembryonic antigen (CEA), indoleamine 2, 3-dioxygenase (IDO), and radiomics signature. The efficacy of radiotherapy for patients with non-small cell lung cancer can be effectively evaluated by using CT-based radiomics features.
Analysis of Traditional Chinese Medicine Acupuncture for Patients with Cognitive Disorder in Vascular Dementia
Authors: Fang ChangLin , Wang Yuan
Published: June 2024

In this study, 66 patients with vascular dementia cognitive impairment who were admitted from January 2022 to January 2023 were randomly divided into the control group and the observation group. The observation group was treated with traditional Chinese medicine acupuncture and moxibustion (n=33), and the control group was treated with conventional treatment. The observation of the treatment effect shows that the treatment of traditional Chinese medicine acupuncture and moxibustion can improve the patient's FMA score, neurological deficit NIHSS score, mental state, and help patients recover. The specific research is as follows.
Exploration of ClinicalEffect of Needle Warming Through Moxibustion on Urinary Retention After Stroke
Authors: Chen Yifang , Yang Gaiqin
Published: June 2024

Through a comparative study on 82 patients with urinary retention after stroke (February 2022~February 2023), the control group adopted the conventional treatment mode (n=41), and the observation group adopted the warm acupuncture and moxibustion treatment mode (n=41). After receiving warm acupuncture and moxibustion treatment, the observation group effectively improved the residual amount of bladder urine, and the total effective rate of urinary retention after stroke and the quality of life of patients were significantly improved, superior to the control group.
A Comparative Study of CNN and DBN Algorithms in Oral Disease Imaging Diagnosis
Authors: Wang Kexin , Wang Guangyan , Gulibusitan Aihemaiti , Wei Ziming , Xu Yuxin , Zhang Jinyuan
Published: June 2024

Oral imaging involves imaging techniques and diagnostic methods of the internal structure of the oral cavity. Intelligent diagnostic techniques based on machine learning and medical gold standards have become a research hotspot in recent years. In order to obtain the accuracy of deep learning for oral image segmentation, this paper mainly compares the performance of deep belief network (DBN) and convolutional neural network (CNN) in image segmentation and recognition. Firstly, the CBCT image data set of the teeth of the relevant cases was established, and the image was preprocessed and marked, and the training set, test set and verification set were divided. Secondly, the DBN and CNN deep learning neural network models are built and debugged for training and testing respectively. Finally, the performance of the two models is compared and their advantages and disadvantages are analyzed from the data of graphic distortion, feature extraction accuracy, tooth discrimination and accuracy. The experimental results show that both of them have good performance in image segmentation, but the CNN model is superior to DBN in oral image classification and recognition. This study explores the application of deep learning in CBCT image processing of teeth. The research results are of positive significance for assisting doctors to judge the condition more accurately, improving the treatment effect and quality, and improving the digitization and intelligence of oral disease imaging diagnosis.
Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System
Authors: Gulo Melki Mario , Astawa I Gede Puja , Sudarsono Amang , Moegiharto Yoedy , Priambodo Naufal Ammar , Gunawan M. Wisnu
Published: June 2024

Multiple-input, multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a communications technology that powers numerous modern communication systems, including 5G and WiFi-6. This technology is utilized in current communication systems due to its high performance and extensive channel capacity. MIMO-OFDM does have disadvantages, such as large Peak-to-Average Power Ratio (PAPR) values. If the signal is processed by a nonlinear Power Amplifier (PA) device, a high PAPR value signal can result in both in-band and out-of-band signal distortion. To combat high PAPR values, PAPR reduction strategies such as Iterative Clipping Filtering (ICF) are utilized. From this study, using ICF with iteration 2 and Clipping Ratios (CR) 3 and 4 can improve the system's minimum Bit Error Rate (BER) by about 22.8% and 91.1%, respectively. Choosing the correct CR will improve the system, but using the lower CR will make it worse than a system without ICF. This occurs in systems using ICF with iterations two and CR 2 and at the same SNR conditions as systems without ICF; using ICF with iterations two and CR 2 results in higher BER values. The use of Predistortion Neural Network (PDNN) can overcome this problem. By using PDNN, there is an improvement in the system where the minimum BER value can reach 0.1 × 10-5. The percentage decrease in BER from using PDNN for ICF with iterations two and CR 2, 3, and 4 is 99.88%, 99.86%, and 98.807%, respectively. Thus, the joint techniques of ICF and PDNN can significantly enhance the performance of MIMO-OFDM systems with nonlinear PA. Importantly, the experiment was conducted on an SDR device, ensuring the real-world applicability of the results.
Adoption of Industry 4.0 with Cloud Computing as a Mediator: Evaluation using TOE Framework for SMEs
Authors: Abu Bakar Muhammad Ramzul , Mat Razali Noor Afiza , Ishak Khairul Khalil , Ismail Mohd Nazri , Tengku Sembok Tengku Mohd
Published: June 2024

Industry 4.0 represents a significant shift in production processes, necessitating the integration of humans, products, information, and robots into digitalized workflows. While this transformation offers numerous benefits, its adoption, particularly among small and medium enterprises (SMEs), is hindered by various challenges such as financial constraints, maintenance costs, and a lack of digital culture and awareness. This study examines the adoption of Industry 4.0, specifically through cloud computing technologies, within the manufacturing and service sectors of SMEs in Malaysia. Cloud computing is economical, straightforward, and easily implemented for SMEs. We propose a conceptual model based on an extended Technology-Organisation-Environment (TOE) model, integrating refined constructs and considering digital organizational culture as a moderator, with cloud computing acting as a mediator to enhance firm performance. The study investigates the relationship between these constructs and addresses overlooked factors influencing adoption. Utilizing a structured questionnaire with 54 items derived from previous research, we employ partial least squares structural equation modeling (PLS-SEM) to analyze data collected from a pilot study. Our findings confirm the reliability and validity of the proposed conceptual model, meeting established criteria for composite reliability, average variance extracted (AVE), Cronbach's alpha, and discriminant validity (HTMT Criterion). Furthermore, this study presents empirical findings on technological, organizational, and environmental influences on adopting cloud computing. The insights gained from this research offer valuable guidance to enhance the performance of SMEs in the Industry 4.0 landscape.
Multi-Head Attention in Residual Networks to Improve Coral Reef Structure Classification
Authors: Nuranti Eka Qadri , Intizhami Naili Suri , Tassakka Muhammad Irpan Sejati , Areni Intan Sari , Al Ghozy Osama Iyad , Jefri Muhammad Rivaldi
Published: June 2024

Residual Networks (ResNet) mark a crucial advancement in convolutional neural network architecture, effectively tackling challenges like vanishing gradients for improved pattern detection in various image classification tasks. This study introduces a novel adaptation of the ResNet50 architecture that integrates a multi-head attention mechanism (MHA), coined MHA-ResNet50, for discerning coral reef structures within images. Strategic modifications are applied to the input of each stage, leading to the development of an MHA block, which is augmented by separable convolution. The deliberate inclusion of the MHA block at various stages in identity-block Resnet50, in adherence to multiscale gate principles, precedes its traversal through fully connected layers. Furthermore, we implemented the Stratified K-fold concept to ensure that each fold has a comparable proportion of each class. We successfully assessed the efficacy of the MHA-Resnet50 model in several MHA-block placement scenarios and saw improvements in the accuracy of coral reef structure predictions. The most optimal results were achieved by incorporating four attention blocks (MHA-ResNet50-4), yielding an accuracy rate of 85.23% in recognition of coral structure images, comprising a mere 409 images. This model showcases adaptability to small datasets while delivering commendable performance. The ResNet50 architecture undergoes enhancement in our proposed model by integrating multi-head attention, separable convolution, and multiscale gate principles. The MHA-ResNet50 model substantially advances accurately predicting coral reef structures, demonstrating adaptability to limited datasets. Future lines of this research involve digging deeper into the model design and using more significant amounts and classes of data to strengthen a more comprehensive range of generalizations.
Denoising Ambulatory Electrocardiogram Signal Using Interval Dedependent Thresholds based Stationary Wavelet Transform
Authors: Hermawan Indra , Sevani Nina , F. Abka Achmad , Jatmiko Wisnu
Published: June 2024

Noise contamination in electrocardiogram (ECG) monitoring systems can lead to errors in analysis and diagnosis, resulting in a high false alarm rate (FAR). Various studies have been conducted to reduce or eliminate noise in ECG signals. However, some noise characteristics overlap with the frequency range of ECG signals, which occur randomly and are transient. This results in shape alteration and amplitude reduction in P and R waves. The author proposed a framework for eliminating noise in ECG signals using the stationary wavelet transform method and interval-dependent thresholds (IDT) based on the change point detection method to address these challenges. The proposed framework decomposes the input electrocardiogram (ECG) signal at a specific level using the Stationary Wavelet Transform method, resulting in detail and approximation coefficients. Interval detection focuses on the initial detailed coefficient, d1, chosen due to its significant content of noise coefficients, especially high-frequency noise. Subsequently, threshold values are computed for each interval. Hard and soft thresholding processes are then applied individually to each interval. Finally, reconstruction occurs using the inverse stationary wavelet transform method on the threshold coefficient outcomes. Two measurement matrices, root mean square error (RMSE) and percentage root mean squared difference (PRD), were used to measure the performance of the proposed framework. In addition, the proposed framework was compared to stationary wavelet transform (SWT) and discrete wavelet transform (DWT). The test results showed that the proposed method outperforms DWT and SWT. The proposed framework obtained an average increase in RMSE scores of 18% and 45% compared to the SWT and DWT methods, respectively, and PRD values of 17% and 37% compared to the SWT and DWT methods, respectively. So, using IDT in the stationary wavelet transform method can improve the denoising performance. With the development of this new framework for denoising ECG signals, we hope it can become an alternative method for other researchers to utilize in denoising ECG signals.
High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor
Authors: Abdul Rashid Raghdah Rasyidah , Milleana Shaharudin Shazlyn , Filza Sulaiman Nurul Ainina , Zainuddin Nurul Hila , Mahdin Hairulnizam , Mohd Najib Summayah Aimi , Hidayat Rahmat
Published: June 2024

Due to the discrepancy in resolution between existing global climate model output and the resolution required by decision-makers, there is a persistent need for climate downscaling. We conducted a study to determine the effectiveness of Relevant Vector Machine (RVM), one of the machine learning approaches, in outperforming existing statistical methods in downscaling historical rainfall data in the complex terrain of Selangor, Malaysia. While machine learning eliminates the requirement for manual feature selection when extracting significant information from predictor fields, considering multiple pivotal factors is essential. These factors include identifying relevant atmospheric features contributing to rainfall, addressing missing data, and developing a significant model to predict daily rainfall intensity using appropriate machine-learning techniques. The Principal Component Analysis (PCA) technique was employed to choose relevant environmental variables as input for the machine learning model, and various imputation methods were utilized to manage missing data, such as mean imputation and the KNN algorithm. To assess the performance of the RVM-based rainfall model, we collected a dataset from the Department of Irrigation and Drainage Malaysia. We used Nash-Sutcliffe Efficiency (NSE) and Root Mean Square Error (RMSE) as evaluation metrics. This study concluded that Relevance Vector Machine (RVM) models are suitable for forecasting future rainfall since they can support large rainfall extremes and generate reliable daily rainfall estimates based on rainfall extremes. In this study, the RVM model was employed to determine a predictive association between predictand variables and predictors.
Medh-i Lâlezâr-ı Bâğ-ı Kadîm
Authors: Taş Fırat , Yılmaz Abdulsamet
Published: June 2024

Beş yıllık bir çalışmanın ürünü olan Medh-i Lâlezâr-ı Bâğ-ı Kadîm, Prof. Dr. Hayati Develi’nin editörlüğünde Neslihan Koç Keskin ve Özlem Batğı Akman tarafından hazırlanmıştır. Giriş ve beş bölümden oluşan bu çalışma Türkiye Bilimler Akademisi (TÜBA) tarafından Türk-İslâm Bilim Kültür Miras Projesi kapsamında desteklenmiş, 2021 yılında TDV Yayınlarından çıkmıştır.
Tarihî Türk Lehçelerinde Avlanmak için Kullanılan Aletler
Authors: Onaran Gökberk
Published: June 2024

Dil, kültürün bir göstergesi ve taşıyıcısıdır. Bir milletin kültürünü anlamak ve yorumlamak için o milletin kaleme aldığı eserlere bakılmalıdır.
Avcılık, ilk başlarda yaşamsal bir faaliyet olarak ortaya çıkmıştır. Türklerde de avcılık ilk başlarda bu amaçla ortaya çıkmış olmalıdır. Fakat daha sonraları Türklerde avcılık farklı bir hale bürünmüştür. Avcılık; bir spor olmuş, bir edebiyat türünün doğuşunu sağlamış en sonunda da bir kurum haline gelmiştir. Biz de Türklerde önemli bir gelenek halini almış avcılıktaki aletleri inceledik.
Çalışmamızda Türklerin özel olarak kulladıkları av aletlerini tespit etmeye çalıştık. Bunun için Köktürk Türkçesinden başlayarak eski Uygur Türkçesi, Harezm Türkçesi, Kıpçak Türkçesi, Çağatay Türkçesi, Eski Anadolu Türkçesi ve Osmanlı Türkçesine ait doksan adet eseri taradık. Kamus-ı Türkî adlı eser için yeni kelimeler bulma yoluna gitmedik sadece önceki dönemlerde bulduğumuz kelimelerin bu eserde kullanılıp kullanılmadığına baktık. Taradığımız eserlerin dizin kısmını inceledik. Dizin kısmında kullanılan av aletlerini tespit ettik. Tespit ettiğimiz av aletlerinin diğer tarihî Türk dillerinde kullanılıp kullanılmadığını inceledik. Taradığımız metinlerde toplam yirmi beş farklı av aleti tespit ettik. Bu kelimeleri fonetik, semantik, leksik ve kökenbilgisi açısından inceledik ve tespitlerimizi ortaya koyduk.
Türkiye Türkçesi Ağızlarında Karakter Adlarının Tematik Tasnifi II: Olumlu Anlama Sahip Olanlar
Authors: Koç Fatma
Published: June 2024

Öz
Bir dili kullanan toplumun düşünce dünyası ve bakış açısı, kullanılan dilin söz varlığına da yansımaktadır. Söz varlığı, dilin içerisinde yer alan sözcüklerin toplamı olmasının yanı sıra bundan daha fazlasını ifade eder. Bir alana veyahut konuya ilişkin sözcük topluluğu, incelenen alana ait söz varlığını temsil eder. Bir varlığa, oluşuma veyahut nesneyi adlandırmak ise söz varlığı içerisinde kendine yer bulan eylemler içerisinde bulunmaktadır. İnsanların kullandığı dil bünyesinde, herhangi bir unsura ad vermesi ve onu tanımlaması, mensup olunan toplumun kültürel iklimini de yansıtmaktadır. Canlı bir varlık olan dil, insanların onu kullanmasıyla yaşamaya devam eder. Her yörenin veya bölgenin dil noktasında kendine özgü söyleyiş biçimi bulunmaktadır. Var olan bu farklı söyleyiş biçimleri, ağız bölgelerini oluşturmakla birlikte her bölgenin kendi dil yapısı içerisinde şekillenen ve farklı anlamlar yüklenen sözcük kullanma biçimleri bulunmaktadır. Dolayısıyla ses ve şekil hususundaki farklılıklar sözcüklerin tematik yapısına da tesir etmiş, bir sözcüğün anlamı her ağız bölgesinde farklılık göstermiştir. Türkiye Türkçesi ağızları, standart Türkçeye birçok sözcük aktarmış ve böylelikle Türk dilinin söz varlığını zenginleştirme işlevini üstlenmiştir. Buna bağlı olarak Türkiye Türkçesi ağızları, standart Türkçeye söz varlığı anlamında katkı sağlayan canlı bir kaynak konumundadır. Bu çalışmada Derleme Sözlüğü taranmış ve olumlu anlama sahip olan karakter adları tespit edilmiştir. Tespit edilen olumlu anlama sahip olan karakter adları içerdiği anlama göre kategorize edilmiş ve sayısal veri olarak belirlenmiştir.
Analysis of the Preparedness of the Village Government and Community in Facing Drought Disasters in Sumberharjo Village, Sumberrejo Sub District, Bojonegoro Regency
Authors: Nisa Nur Afiza Sholihatun
Published: June 2024

This research aimed to determine whether the role of village government and community preparedness had a significant influence partially and simultaneously on community preparedness in facing drought disasters in Sumberharjo Village, Sumberrejo Sub District, Bojonegoro Regency. This research was conducted in Sumberharjo Village, Sumberrejo Sub District, Bojonegoro Regency from August to October 2023. The population consisted of 1308 households in Sumberharjo Village. For the government role variable, all village officials were included, and the sample in this research was determined using the Slovin formula, resulting in 92 samples. The data collection technique used was incidental. The data analysis technique used in this research was quantitative descriptive with data collected in the form of questionnaires, observations, and documentation. The results of the data analysis testing in this research discuss the preparedness of the village government and community in dealing with drought disaster mitigation in Sumberharjo Village, Sumberrejo Sub District, Bojonegoro Regency.