• Title/Summary/Keyword: field investigation

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Numerical and experimental analysis on the axial compression performance of T-shaped concrete-filled thin-walled steel

  • Xuetao Lyu;Weiwei Wang;Huan Li;Jiehong Li;Yang Yu
    • Steel and Composite Structures
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    • v.50 no.4
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    • pp.383-401
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    • 2024
  • The research comprehensively studies the axial compression performance of T-shaped concrete-filled thin-walled steel tubular (CTST) long columns after fire exposure. Initially, a series of tests investigate the effects of heating time, load eccentricity, and stiffeners on the column's performance. Furthermore, Finite Element (FE) analysis is employed to establish temperature and mechanical field models for the T-shaped CTST long column with stiffeners after fire exposure, using carefully determined key parameters such as thermal parameters, constitutive relations, and contact models. In addition, a parametric analysis based on the numerical models is conducted to explore the effects of heating time, section diameter, material strength, and steel ratio on the axial compressive bearing capacity, bending bearing capacity under normal temperature, as well as residual bearing capacity after fire exposure. The results reveal that the maximum lateral deformation occurs near the middle of the span, with bending increasing as heating time and eccentricity rise. Despite a decrease in axial compressive load and bending capacity after fire exposure, the columns still exhibit desirable bearing capacity and deformability. Moreover, the obtained FE results align closely with experimental findings, validating the reliability of the developed numerical models. Additionally, this study proposes a simplified design method to calculate these mechanical property parameters, satisfying the ISO-834 standard. The relative errors between the proposed simplified formulas and FE models remain within 10%, indicating their capability to provide a theoretical reference for practical engineering applications.

A Review on Detection of COVID-19 Cases from Medical Images Using Machine Learning-Based Approach

  • Noof Al-dieef;Shabana Habib
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.59-70
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    • 2024
  • Background: The COVID-19 pandemic (the form of coronaviruses) developed at the end of 2019 and spread rapidly to almost every corner of the world. It has infected around 25,334,339 of the world population by the end of September 1, 2020 [1] . It has been spreading ever since, and the peak specific to every country has been rising and falling and does not seem to be over yet. Currently, the conventional RT-PCR testing is required to detect COVID-19, but the alternative method for data archiving purposes is certainly another choice for public departments to make. Researchers are trying to use medical images such as X-ray and Computed Tomography (CT) to easily diagnose the virus with the aid of Artificial Intelligence (AI)-based software. Method: This review paper provides an investigation of a newly emerging machine-learning method used to detect COVID-19 from X-ray images instead of using other methods of tests performed by medical experts. The facilities of computer vision enable us to develop an automated model that has clinical abilities of early detection of the disease. We have explored the researchers' focus on the modalities, images of datasets for use by the machine learning methods, and output metrics used to test the research in this field. Finally, the paper concludes by referring to the key problems posed by identifying COVID-19 using machine learning and future work studies. Result: This review's findings can be useful for public and private sectors to utilize the X-ray images and deployment of resources before the pandemic can reach its peaks, enabling the healthcare system with cushion time to bear the impact of the unfavorable circumstances of the pandemic is sure to cause

Nonlinear free and forced vibrations of oblique stiffened porous FG shallow shells embedded in a nonlinear elastic foundation

  • Kamran Foroutan;Liming Dai
    • Structural Engineering and Mechanics
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    • v.89 no.1
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    • pp.33-46
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    • 2024
  • The present research delves into the analysis of nonlinear free and forced vibrations of porous functionally graded (FG) shallow shells reinforced with oblique stiffeners, which are embedded in a nonlinear elastic foundation (NEF) subjected to external excitation. Two distinct types of PFG shallow shells, characterized by even and uneven porosity distribution along the thickness direction, are considered in the research. In order to model the stiffeners, Lekhnitskii's smeared stiffeners technique is implemented. With the stress function and first-order shear deformation theory (FSDT), the nonlinear model of the oblique stiffened shallow shells is established. The strain-displacement relationships for the system are derived via the FSDT and utilization of the von-Kármán's geometric assumptions. To discretize the nonlinear governing equations, the Galerkin method is employed. The model such developed allows analysis of the effects of the stiffeners with various angles as desired, in addition to the quantitative investigation on the influence of the surrounding nonlinear elastic foundations. To numerically solve the problem of vibrations, the 4th-order P-T method is used, as this method, known for its enhanced accuracy and reliability, proves to be an effective choice. The validation of the present research findings includes a comprehensive comparison with outcomes documented in existing literature. Additionally, a comparative analysis of the numerical results against those obtained using the 4th Runge-Kutta method is performed. The impact of stiffeners with varying angles and material parameters on the vibration characteristics of the present system is also explored. The researchers and engineers working in this field may use the results of this study as benchmarks in their design and research for the considered shell systems.

Investigation of Biomechanical Factors in Track and Field Javelin Performance: A Multidimensional Analysis of Predictive Variables through Multiple Regression Analysis (육상 창던지기 기록에 미치는 운동학적 요인의 탐색: 다차원적 다중회귀를 활용한 성과 예측 변수 분석)

  • Ho-Jong Gil;Jin Joo Yang;Jong Chul Park;Young Sun Lee;Jae Myoung Park
    • Korean Journal of Applied Biomechanics
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    • v.33 no.4
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    • pp.175-184
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    • 2023
  • Objective: The purpose of this study is to investigate the effects of human motion and javelin kinematics during the energy transfer in javelin throwing on records, and to provide evidence-based training insights for athletes and coaches to enhance records. Method: Three javelin throw athletes (age: 22.67 ± 0.58 years, height: 178.33 ± 7.37 cm, weight: 83.67 ± 1.15 kg) were recruited for this study. Each athlete attempted ten maximum record trials, and the kinematic data from each performance were analyzed to determine their influence on the records. The Theia3d Markerless system was used for motion analysis. Results: Key factors were modeled and identified at each moment. In E1, main variables were COM Y (𝛽 8.162, p<.05) and COM velocity Z (𝛽 -72.489, p<.05); in E2, COM X (𝛽 -17.604, p<.05); in E3, COM X (𝛽 -18.606, p<.05), COM velocity Y (𝛽 38.694, p<.05), and COM velocity X (𝛽 66.323, p<.05). For the javelin throw dynamics in E3, key determinants were Attitude angle and Javelin velocity in the Y-axis. Conclusion: The study reveals that controlled vertical movement, center of mass management during braking, and enhanced pelvic rotation significantly improve javelin throw performance. These kinematic strategies are critical for record enhancement in javelin throwing.

A Delphi Study of Korean Medicine for Anorexia in Children for Clinical Practice Guidelines (소아 식욕부진의 한의표준임상진료지침 개발을 위한 델파이 연구)

  • Bang Miran;Lee Sun Haeng;Chang Gyu Tae
    • The Journal of Pediatrics of Korean Medicine
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    • v.38 no.2
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    • pp.21-31
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    • 2024
  • Objectives This study aimed to develop consensus-based recommendations for establishing standard clinical practice guidelines for pediatric anorexia through the utilization of a Delphi study. Methods We analyzed existing randomized controlled trials for pediatric anorexia treatment using the Delphi method-a structured process for achieving consensus among a panel of experts. A questionnaire was distributed among a select panel of nine specialists in the field. Results The initial Delphi round led to consensus on 30 distinct recommendations; however, consensus was not reached for 19 other recommendations, prompting a second Delphi round. In the subsequent round, adjustments were made based on feedback from the initial round, and deliberations were held on recommendations that previously lacked consensus. Following these adjustments, consensus was achieved on all recommendations. Additionally, a third Delphi iteration was conducted to address three specific queries that required amendment due to a reevaluation of the evidence levels of certain recommendations. In total, three Delphi rounds were carried out to produce informed recommendations related to the diagnosis, treatment, and general management of anorexia. Conclusions This investigation successfully generated evidence-based recommendations for the diagnosis and treatment of pediatric anorexia. The recommendations encompassed various practices, including herbal medicine, acupuncture, moxibustion, cupping, and Chuna manual therapy, which can be integrated into clinical settings.

The Effect of Acute Respiratory Disease Infectious Diseases on the Life Change of People with Developmental Disabilities and Their Families

  • JungHyun Kim
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.43-50
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    • 2024
  • Patients with acute respiratory diseases, such as Middle East Respiratory Syndrome (MERS) due to COVID-19, must wear masks, protective clothing, face shields, and gloves to prevent infection during treatment and performance. Even if it is applied to disabled people, families who protect them are severely mentally tired from severe physical fatigue and stress from exposure to high-risk infectious diseases. As such, the spread of infectious diseases such as respiratory diseases has not only caused difficulties in using existing welfare and medical services but also caused various problems throughout the daily life of disabled people due to the prolonged infectious disease, and its scope is gradually expanding. Therefore, it should not be overlooked that disabled people may experience various difficulties, from the spread of infectious diseases such as respiratory diseases to isolation, diagnosis, and treatment, and it is time to actively assess the life changes felt by families caring for disabled people and consider and research to provide adequate services. According to the survey of disabled people is being conducted in the context of the spread of infectious diseases such as respiratory diseases, while research on the spread of infectious diseases such as respiratory diseases is rare for parents with disabilities. There is a need for additional investigation into the characteristics in other areas of everyday life, including the health field, which is deteriorating through prior research. Therefore, through this survey, the purpose of this study is to investigate the life changes of parents with disabilities in the context of the spread of infectious diseases such as respiratory diseases and to compare and analyze them to find out how parents were affected by each type of disability. It will be used as evidence to identify more necessary needs and problems for parents with disabilities in the spread of infectious diseases such as respiratory diseases and to provide more appropriate health care and welfare services in the future.

Numerical and statistical analysis of Newtonian/non-Newtonian traits of MoS2-C2H6O2 nanofluids with variable fluid properties

  • Manoj C Kumar;Jasmine A Benazir
    • Advances in nano research
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    • v.16 no.4
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    • pp.341-352
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    • 2024
  • This study investigates the heat and mass transfer characteristics of a MoS2 nanoparticle suspension in ethylene glycol over a porous stretching sheet. MoS2 nanoparticles are known for their exceptional thermal and chemical stability which makes it convenient for enhancing the energy and mass transport properties of base fluids. Ethylene glycol, a common coolant in various industrial applications is utilized as the suspending medium due to its superior heat transfer properties. The effects of variable thermal conductivity, variable mass diffusivity, thermal radiation and thermophoresis which are crucial parameters in affecting the transport phenomena of nanofluids are taken into consideration. The governing partial differential equations representing the conservation of momentum, energy, and concentration are reduced to a set of nonlinear ordinary differential equations using appropriate similarity transformations. R software and MATLAB-bvp5c are used to compute the solutions. The impact of key parameters, including the nanoparticle volume fraction, magnetic field, Prandtl number, and thermophoresis parameter on the flow, heat and mass transfer rates is systematically examined. The study reveals that the presence of MoS2 nanoparticles curbs the friction between the fluid and the solid boundary. Moreover, the variable thermal conductivity controls the rate of heat transfer and variable mass diffusivity regulates the rate of mass transfer. The numerical and statistical results computed are mutually justified via tables. The results obtained from this investigation provide valuable insights into the design and optimization of systems involving nanofluid-based heat and mass transfer processes, such as solar collectors, chemical reactors, and heat exchangers. Furthermore, the findings contribute to a deeper understanding of stretching sheet systems, such as in manufacturing processes involving continuous casting or polymer film production. The incorporation of MoS2-C2H6O2 nanofluids can potentially optimize temperature distribution and fluid dynamics.

Species diversity, relative abundance, and decline of flying insects in a fragmented forest in Futa Akure, Ondo State, Nigeria

  • Temitope A. Olatoye;Ohseok, Kwon;Kayode L. Akinwande
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.5 no.1
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    • pp.10-20
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    • 2024
  • The study investigated species diversity, relative abundance, and decline of flying insects and plants within a fragmented forest in the Federal University of Technology Akure (FUTA), Ondo State, Nigeria. It is known that habitat fragmentation can reduce biodiversity. Thus, it is important to perform comprehensive assessments to understand implications of the habitat fragmentation for flora and fauna. Species richness and abundance of flying insects and plants across fragmented forest patches were quantified using field surveys and taxonomic identification. This study revealed shifts in species diversity, with fragmented areas exhibiting reduced biodiversity compared to contiguous forest ecosystems. Flying insects crucial for ecosystem functioning and pollination services demonstrated decreased species richness and relative abundance within fragmented habitats. This decline was attributed to habitat loss, altered microclimates, and limited movement pathways known to hinder insect dispersal. Similarly, plant species richness and abundance showed decline in fragmented forest due to disrupted mutualistic interactions with pollinators, altered nutrient cycling, and increased competition among plant species. This study underscores the importance of maintaining intact forest habitats to sustain healthy ecosystems and preserve biodiversity. Effective conservation strategies should focus on habitat connectivity, reforestation efforts, and protection of essential ecological corridors to mitigate effects of fragmentation. In conclusion, this investigation provides empirical evidence for effects of habitat fragmentation on flying insects and plants in a forest ecosystem in FUTA Akure, Nigeria. Findings emphasize an urgency of adopting conservation measures to safeguard these invaluable components of biodiversity and ecosystem stability in the face of ongoing habitat loss and fragmentation.

Investigation of the Characteristics of New, Uniform, Extremely Small Iron-Based Nanoparticles as T1 Contrast Agents for MRI

  • Young Ho So;Whal Lee;Eun-Ah Park;Pan Ki Kim
    • Korean Journal of Radiology
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    • v.22 no.10
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    • pp.1708-1718
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    • 2021
  • Objective: The purpose of this study was to evaluate the magnetic resonance (MR) characteristics and applicability of new, uniform, extremely small iron-based nanoparticles (ESIONs) with 3-4-nm iron cores using contrast-enhanced magnetic resonance angiography (MRA). Materials and Methods: Seven types of ESIONs were used in phantom and animal experiments with 1.5T, 3T, and 4.7T scanners. The MR characteristics of the ESIONs were evaluated via phantom experiments. With the ESIONs selected by the phantom experiments, animal experiments were performed on eight rabbits. In the animal experiments, the in vivo kinetics and enhancement effect of the ESIONs were evaluated using half-diluted and non-diluted ESIONs. The between-group differences were assessed using a linear mixed model. A commercially available gadolinium-based contrast agent (GBCA) was used as a control. Results: All ESIONs showed a good T1 shortening effect and were applicable for MRA at 1.5T and 3T. The relaxivity ratio of the ESIONs increased with increasing magnetic field strength. In the animal experiments, the ESIONs showed peak signal intensity on the first-pass images and persistent vascular enhancement until 90 minutes. On the 1-week follow-up images, the ESIONs were nearly washed out from the vascular structures and organs. The peak signal intensity on the first-pass images showed no significant difference between the non-diluted ESIONs with 3-mm iron cores and GBCA (p = 1.000). On the 10-minutes post-contrast images, the non-diluted ESIONs showed a significantly higher signal intensity than did the GBCA (p < 0.001). Conclusion: In the phantom experiments, the ESIONs with 3-4-nm iron oxide cores showed a good T1 shortening effect at 1.5T and 3T. In the animal experiments, the ESIONs with 3-nm iron cores showed comparable enhancement on the first-pass images and superior enhancement effect on the delayed images compared to the commercially available GBCA at 3T.

The Development of Laboratory Instruction Classification Scheme (실험수업 유형 분류틀 개발)

  • Yang, Il-Ho;Jeong, Jin-Woo;Hur, Myung;Kim, Seog-Min
    • Journal of The Korean Association For Science Education
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    • v.26 no.3
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    • pp.342-355
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    • 2006
  • The purpose of this study was to develop a classification scheme for laboratory instruction, which could occupy a central and distinctive role in science education. For this study, literature on laboratory instruction types were analyzed. Utilizing several of these theoretical frameworks, a Classification Scheme for Laboratory Instruction (CSLI), which clearly represents various features of laboratory instruction, was created. The developed CSLI consisted of two descriptors: one is the procedure for laboratory instruction, and the other is a way of approach. The procedure is either designed by the students or provided for them from an external source. A dichotomy also exists for the approach taken toward the activity: deductive or inductive. Validity was established for the CSLI. In addition, laboratory instruction according to CSLI was divided into four types: verification, discovery, exploratory, and investigation. Although this study demonstrated only limited features of laboratory instruction due to the absence of a field test, it serves as a model for more comprehensive studies.