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2025

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Effects Of Herbicides On 2,4-D-Resistant Soil Microorganisms In Maize Cultivation In Lopburi Province, Thailand, Boontarik Chimchart, Jitra Kokaew, Amnat Eamvijarn, Kanokon Bunpha, Sontaya Khamtib, Monchai Manassila, Tawatchai Inboonchuay Jan 2025

Effects Of Herbicides On 2,4-D-Resistant Soil Microorganisms In Maize Cultivation In Lopburi Province, Thailand, Boontarik Chimchart, Jitra Kokaew, Amnat Eamvijarn, Kanokon Bunpha, Sontaya Khamtib, Monchai Manassila, Tawatchai Inboonchuay

Applied Environmental Research

This study aimed to assess the impact of herbicide application on soil micro-organism density and to identify microorganisms resistant to 2,4-D-dimethyl-ammonium (2,4-D) for potential biodegradation. Research was conducted in maize plots in Lopburi Province, where 2,4-D was applied at a rate of 120 g of active ingredient per 160 m2. The soil samples were collected at various intervals: before application; 2 and 4 hours postapplication; and 1, 3, and 7 days after application. The analyses included soil property and microorganism population analyses. The results indicated that 2,4-D applications significantly increased bacteria and fungi in the treated plots compared with those …


Low-Temperature Catalytic Oxidation Of White Spirit Vapor In Air By Binary Oxides Of Feo-Mnox Supported On Oms-2 Material, Ngo Quoc Nguyen, Pham Duy Quang, Nguyen Ha Nhu, Le Thi Van Anh, Nguyen Thi Thuy, Vo Thanh Hang, Le Van Thang, Nguyen Thi Le Lien, Nguyen Trung Thanh, Nguyen Nhat Huy Jan 2025

Low-Temperature Catalytic Oxidation Of White Spirit Vapor In Air By Binary Oxides Of Feo-Mnox Supported On Oms-2 Material, Ngo Quoc Nguyen, Pham Duy Quang, Nguyen Ha Nhu, Le Thi Van Anh, Nguyen Thi Thuy, Vo Thanh Hang, Le Van Thang, Nguyen Thi Le Lien, Nguyen Trung Thanh, Nguyen Nhat Huy

Applied Environmental Research

In this work, catalysts of iron and manganese oxides supported on OMS-2 were prepared and applied to remove white spirit (WS) in air. Among the fabricated catalysts, the FeO-MnOx/OMS-2 catalyst with a surface Fe+Mn loading of 15% (Fe:Mn = 6:4) exhibited the highest catalytic performance, achieving a high WS removal efficiency of 97.91% at 200 °C. The catalyst retained the cryptomelane-type tunnel structure of OMS-2 and possessed enhanced redox activity due to the synergistic interaction between surface Fe and Mn species. The physico-chemical properties were characterized via BET, EDS, FTIR, XRD, and SEM. The suitable conditions for WS oxidation were …


Investigating Spatial And Temporal Changes In Vegetation Via Remote Sensing Indicators And Revealing Their Trends In The Central Desert Of Iran, Peyman Akbarzadeh, Shima Nikoo, Mehran Akbarzadeh Jan 2025

Investigating Spatial And Temporal Changes In Vegetation Via Remote Sensing Indicators And Revealing Their Trends In The Central Desert Of Iran, Peyman Akbarzadeh, Shima Nikoo, Mehran Akbarzadeh

Applied Environmental Research

Vegetation changes can significantly affect the conditions and productivity of ecosystems. Consequently, studying vegetation dynamics across various temporal and spatial scales has emerged as a critical environmental concern. The aim of this study was to investigate changes in vegetation cover via vegetation indices, including the normalized difference vegetation index (NDVI), ratio vegetation index (RVI), soil adjusted vegetation index (SAVI), and difference vegetation index (DVI), derived from multitemporal Landsat 5, 7, and 8 satellite images processed via the Google Earth Engine. The study area is located in the Damghan arid and desert watershed, which represents the central desert of Iran. Furthermore, …


Halotolerant Biodegradation And Detoxification Of Synthetic Dyes By Marine-Derived Penicillium Oxalicum M6a: Metabolite Profiling And Ecotoxicity Assessment, Ugochukwu Okechukwu Ozojiofor, Mohammed Sani Abdulsalami, Nkechi Eucharia Egbe, Ahmed Ali Haroun, Yakubu Magaji Jan 2025

Halotolerant Biodegradation And Detoxification Of Synthetic Dyes By Marine-Derived Penicillium Oxalicum M6a: Metabolite Profiling And Ecotoxicity Assessment, Ugochukwu Okechukwu Ozojiofor, Mohammed Sani Abdulsalami, Nkechi Eucharia Egbe, Ahmed Ali Haroun, Yakubu Magaji

Applied Environmental Research

The complex aromatic structures of synthetic dyes in contaminated water bodies make them difficult to degrade, posing a serious environmental challenge and representing a significant emerging pollutant that warrants urgent intervention. This study evaluated the biodegradation and detoxification potential of a halotolerant, marine-derived fungal strain, Penicillium oxalicum M6A, isolated from the Nigerian coastline, against Indigo carmine (IC) and Remazol Brilliant Blue R (RBBR). The effects of pH, temperature, salinity, and dye concentration on degradation efficiency, alongside enzymatic activity, were assessed. FTIR and GC‒MS analyses were employed to identify degradation products and predict metabolic pathways, whereas toxicity was evaluated in three …


Kinetics Of Hexavalent Chromium Adsorption And Reduction By Living Cells Of The Marine Bacterium Bacillus Cereus, Jittima Charoenpanich, Wachiraphorn Cherdchoo, Jutamas Pantab, Jariya Supakrit Jan 2025

Kinetics Of Hexavalent Chromium Adsorption And Reduction By Living Cells Of The Marine Bacterium Bacillus Cereus, Jittima Charoenpanich, Wachiraphorn Cherdchoo, Jutamas Pantab, Jariya Supakrit

Applied Environmental Research

This study identified Bacillus cereus, an efficient Cr(VI) bioreducer, isolated from marine sediment in Thailand. Batch experiments verified the complete removal of 25 mg L-1Cr(VI) from synthetic wastewater (pH 7.0) after 6 days at 37 °C, 50 rpm,and a biomass concentration of 25% (v/v) culture inoculum. The Freundlich isotherm model demonstrated the best correlation with the Cr(VI) adsorption equilibrium data in the 25–100 mg L-1concentration range (R2= 0.9831). Kinetic analyses indicated that the removal of Cr(VI) by living B. cereusfollowed a pseudo-second-order adsorption model (R2= 0.9875) and a pseudo-second-order reduction model (R2= 0.9807). The adsorption rate can be accuratelycharacterizedvia the …


Bibliometric And Visualisation Analysis Of Biomass Burning Research In Thailand (1997-2024), Weerachon Sawangproh, Arika Bridhikitti Jan 2025

Bibliometric And Visualisation Analysis Of Biomass Burning Research In Thailand (1997-2024), Weerachon Sawangproh, Arika Bridhikitti

Applied Environmental Research

Biomass burning is a major driver of air pollution and climate-related impacts in Thailand, but a national-level synthesis of research efforts is lacking. This study conducts a comprehensive bibliometric and qualitative review of 256 peer-reviewed publications from 1997–2024, using Scopus-indexeddata to explore research trends, thematic patterns, and existing gaps. The analysis reveals a strong emphasis on atmospheric chemistry, air quality modeling, and remote sensing, which collectively account for more than 60% of the research landscape.Studies frequently focus on pollutants such as PM2.5,PAHs, carbon monoxide, and heavy metals, with biomass burning identified as a dominant source, especiallyduring the dry season in …


Landslide Susceptibility Mapping Via Dempster-Shafer, Statistical Index, And Certainty Factor Models In Gis And Their Comparison At Pidie Recency In Aceh, Indonesia, Septianto Aldiansyah, Amniar Ati, Fitriyani Saudi Jan 2025

Landslide Susceptibility Mapping Via Dempster-Shafer, Statistical Index, And Certainty Factor Models In Gis And Their Comparison At Pidie Recency In Aceh, Indonesia, Septianto Aldiansyah, Amniar Ati, Fitriyani Saudi

Applied Environmental Research

Landslides are natural disasters that are active if there is an interaction of environmental factors that are considered to control them, especially in mountainous areas. This study developed a landslide susceptibility map in Pidie Regency via the Dempster-Shafer (DS), statistical index (SI), and certainty factor (CF) models. A total of 957 landslide events were mapped, 70% of which were used for modeling, whereas the remaining events were used to validate the model output. Fourteen layers of conditioning factors were used: elevation, slope, aspect, curvature, TWI, SPI, STI, NDVI, rainfall, distance from river, distance from road, distance from fault, LULC, and …


Assessment Of Landslide Susceptibility And Settlement Exposure Via Geospatial Techniques In Bulambuli Distrcit, Eastern Uganda, Andrew Mulabbi, John Calvin Esagu, Gertrude Akello, Remigio Turyahabwe Jan 2025

Assessment Of Landslide Susceptibility And Settlement Exposure Via Geospatial Techniques In Bulambuli Distrcit, Eastern Uganda, Andrew Mulabbi, John Calvin Esagu, Gertrude Akello, Remigio Turyahabwe

Applied Environmental Research

Landslide susceptibility is a significant concern in Elgon County, Uganda, particularly during the rainy season. This vulnerability is attributable to several factors, including steep slopes, fertile soils, and dense settlements on volcanic ridges. Landslide susceptibility maps are important in mitigating the risk particularly at the local level. The objectives of this study were 1) to model landslide susceptibility via an interpretable machine-learning model, 2) to identify the most influential factors for landslide susceptibility in the study area, and 3) to assess the exposure of settlements to landslide risk. This study employed the XGBoost model trained on nine conditioning factors via …


Exploration Of Indigeneous Biosurfactant-Producing Bacillus Sp. From Petroleum Hydrocarbon-Contaminated Soil In Indonesia, Rizky Danang Susetyo, Wahyu Wilopo, Suwarno Hadisusanto, Endah Retnaningrum Jan 2025

Exploration Of Indigeneous Biosurfactant-Producing Bacillus Sp. From Petroleum Hydrocarbon-Contaminated Soil In Indonesia, Rizky Danang Susetyo, Wahyu Wilopo, Suwarno Hadisusanto, Endah Retnaningrum

Applied Environmental Research

Hydrocarbonolastic bacteria are valuable for the remediation of petroleum-polluted environments. The production of biosurfactants by such bacteria significantly enhances hydrocarbon bioavailability and increases remediation efficiency. One genus of hydrocarbonolastic bacteria with the potential to produce biosurfactants is Bacillus, yet strain-level diversity and local adaptations remain underexplored.Tthis study aimed to isolate and characterize hydrocarbonolastic bacteria belonging to the Bacillus genus from soil samples collected at Geopetroleum Teksas Wonocolo, Kedewan District, Bojonegoro Regency, Indonesia, which is a historically underreported hydrocarbon site. Additionally, the capacity of Bacillus to synthesize biosurfactants was examined. Bacillus strains capable of biosur-factant production were identified via a polyphasic …


Nanofiltration-Based Recovery Of Sodium Gluconate From Fermentation Broths Of Oil Palm Solid Residue Hydrolysates, Ayla A. Liswani, Aulya R. Arevin, Naufal Baariq, Ibnu M. Idayatullah, Muhamad Sahlan, Masafumi Yohda, Heri Hermansyah, Apriliana C. Khayrani Jan 2025

Nanofiltration-Based Recovery Of Sodium Gluconate From Fermentation Broths Of Oil Palm Solid Residue Hydrolysates, Ayla A. Liswani, Aulya R. Arevin, Naufal Baariq, Ibnu M. Idayatullah, Muhamad Sahlan, Masafumi Yohda, Heri Hermansyah, Apriliana C. Khayrani

Applied Environmental Research

Sodium gluconate (SG), a functional organic salt derived from gluconic acid, is widely utilized in various industrial sectors because of its excellent chelating ability, low toxicity, and biodegradability. SGs can be produced sustainably through the neutralization of gluconic acid, which is obtained from the microbial fermen-tation of lignocellulosic biomass such as oil palm fronds (OPFs) and empty fruit bunches (OPEFBs). To meet commercial demands, SGs must be recovered in concentrated form, and nanofiltration (NF) offers a promising membrane-based approach for this purpose. This study aimed to optimize the SG concentration from the fermentation broths of oil palm residue hydrolysates via …


Community Perception And Attitudes Toward Plastics And Microplastic Pollution: A Case Study In The Red River Delta, Vietnam, Dang Hai Mai Jan 2025

Community Perception And Attitudes Toward Plastics And Microplastic Pollution: A Case Study In The Red River Delta, Vietnam, Dang Hai Mai

Applied Environmental Research

Plastics and microplastic contamination pose increasing threats to human health, food safety, and environmental sustainability. In Vietnam, rapid urbanization, economic growth, and population expansion have contributed to a surge in plastic waste, intensifying pollution across regions such as the Red River Delta. This study adopts the theory of planned behavior (TPB) to explore community perceptions, attitudes, and behavioral intentions regarding plastic and microplastic pollution. A quantitative research design was employed, with data collected through structured questionnaires administered to 1,305 respondents via a stratified multistage sampling strategy across four provinces in the Red River Delta. Descriptive statistics and multiple linear regression …


When Should Training An Ai Model Prevail Against Copyright Infringement?, Jeffrey Greenbaum Jan 2025

When Should Training An Ai Model Prevail Against Copyright Infringement?, Jeffrey Greenbaum

Oklahoma Law Review

No abstract provided.


Exposed! Students’ Personal Reproductive Healthcare Information, Janet Koven Levit Jan 2025

Exposed! Students’ Personal Reproductive Healthcare Information, Janet Koven Levit

Oklahoma Law Review

No abstract provided.


Statistical Survey Of Magnetic Flux Integral Quantities In Saturn's Magnetosphere, Xuanye Ma, Simon Wing, P. A. Delamere, J. Johnson, B. Burkholder Jan 2025

Statistical Survey Of Magnetic Flux Integral Quantities In Saturn's Magnetosphere, Xuanye Ma, Simon Wing, P. A. Delamere, J. Johnson, B. Burkholder

Faculty Publications

No abstract provided.


Modularity, Licensing, And The Nrc, Tara Righetti, Madeleine Lewis Jan 2025

Modularity, Licensing, And The Nrc, Tara Righetti, Madeleine Lewis

Oklahoma Law Review

No abstract provided.


Assessing Gender Differences In The Students’ Academic Performance, Aptitude, Emotional Intelligence And Grit, Farheen Nasir, Athari Almuraikhi, Asma Alkusayer, Fatima Saeed, Abdulmohsen Alkushi, Areej S. Alowfi, Muhammad Alghaihab, Faizan Nasir Jan 2025

Assessing Gender Differences In The Students’ Academic Performance, Aptitude, Emotional Intelligence And Grit, Farheen Nasir, Athari Almuraikhi, Asma Alkusayer, Fatima Saeed, Abdulmohsen Alkushi, Areej S. Alowfi, Muhammad Alghaihab, Faizan Nasir

Health Professions Education

Purpose: This research aimed to assess gender differences in academic performance, aptitude, emotional intelligence, and grit among the students.

Method: The sample included 302 students (250 females and 52 males) from Saudi health sciences institutes, located in Riyadh, Jeddah and Alahsa. Data collection was done through Google Forms which was based on demographic information, Self-Report Measure of Emotional Intelligence and Grit Scales. Results: Statistical analysis was done through STATA-16 by applying ANOVA. Results indicated a significant gender difference in students’ CGPA, aptitude and emotional intelligence. However, there was an insignificant gender difference in students’ grit scores. Conclusion: The findings show …


Faculty Relationships: A Key Factor In Fostering Students' Sense Of Belonging In A Doctor Of Physical Therapy Program, Gina Gang, Jenni Rae Rubio, Michael Antich, Anayansi Balmaceda, Alexandra Candamil, Lacey Fogata, Corey Salce, Roger Vermont Zelaya, Noha Daher Jan 2025

Faculty Relationships: A Key Factor In Fostering Students' Sense Of Belonging In A Doctor Of Physical Therapy Program, Gina Gang, Jenni Rae Rubio, Michael Antich, Anayansi Balmaceda, Alexandra Candamil, Lacey Fogata, Corey Salce, Roger Vermont Zelaya, Noha Daher

Health Professions Education

Background: Sense of belonging is critical for student success in higher education. Limited research exists investigating factors perceived by Doctor of Physical Therapy (DPT) students contributing to belonging during on-campus curricula.

Objective: The purpose of this study was to explore belonging among second-year DPT students and identify influencing factors and strategies to enhance on-campus belonging.

Methods: The study used a convergent parallel design, integrating quantitative cross-sectional survey data with qualitative thematic analysis. Second-year DPT students in one residential program completed the University Belonging Questionnaire (UBQ) and answered open-ended questions. The primary outcomes were degree of student belonging, factors influencing belonging, …


Social Network Sites: Use, Perception Of Addiction And Health Risks Among Nursing Students In Meknes Morocco, Rachida Archou, Meriem Ouadrhiri, Rajae Lamsyah, Maryem Rhanoui, Mustapha Boucetta, Mounia Mikram, Kamelia Amazian, Rachid Aalouane Jan 2025

Social Network Sites: Use, Perception Of Addiction And Health Risks Among Nursing Students In Meknes Morocco, Rachida Archou, Meriem Ouadrhiri, Rajae Lamsyah, Maryem Rhanoui, Mustapha Boucetta, Mounia Mikram, Kamelia Amazian, Rachid Aalouane

Health Professions Education

Objectif : Le nombre d'utilisateurs des réseaux sociaux est en constante augmentation et les jeunes représentent la catégorie la plus attirée par ces sites. Cependant, une utilisation incontrôlée des réseaux sociaux peut entraîner de graves problèmes de santé physique et psychologique. Par conséquent, cette étude vise à déterminer la dépendance perçue aux réseaux sociaux et son impact sur la santé des étudiants infirmiers marocains.

Méthodes : Il s'agit d'une étude transversale. Les données ont été collectées auprès de 300 étudiants infirmiers marocains à l'aide d'un questionnaire auto-administré et pré-testé. Le questionnaire est divisé en trois sections : a) données démographiques, …


Exploring Approaches To Teaching Communication Practices For Shared Decision-Making In Medical Education: A Scoping Review, Sarah A. E. Aboushawareb, Saki Sultana, Peter Nugus, Tracie Barnett, Amalia M. . Issa, Gillian Bartlett-Esquilant Jan 2025

Exploring Approaches To Teaching Communication Practices For Shared Decision-Making In Medical Education: A Scoping Review, Sarah A. E. Aboushawareb, Saki Sultana, Peter Nugus, Tracie Barnett, Amalia M. . Issa, Gillian Bartlett-Esquilant

Health Professions Education

Objective

Health professional education researchers have documented increased training on shared decision-making (SDM) skills in undergraduate as well as continuing professional development (CPD). In this review, we seek to understand the current methods and approaches to teaching SDM for healthcare providers and trainees.

Methods

This scoping review involved the systematic search of 4 databases: MEDLINE, ERIC, PsycINFO, and Scopus for qualitative and quantitative studies literature covering the topic of teaching SDM in medical education.

Results

We identified 20 records that met our search criteria and were included in this study. We found that SDM training provided in medical education included …


Learning Styles Preferences Among Medical Students: Professional Year, Gender, Residence And Educational System Based Comparative Analysis, Rizwan Faisal, Noor Ul Saba Khattak, Maria Saeed, Fazl E Amin, Muhammad Waqar Ahmad Khan Jan 2025

Learning Styles Preferences Among Medical Students: Professional Year, Gender, Residence And Educational System Based Comparative Analysis, Rizwan Faisal, Noor Ul Saba Khattak, Maria Saeed, Fazl E Amin, Muhammad Waqar Ahmad Khan

Health Professions Education

Background:

Learning style is an approach students start to adopt to new information. It can be assessed by various models. Among them, the VARK (visual-V, aural-A, read/write-R, kinesthetic-K) model is more appropriate, concise, and reliable. Visual learners grasp information best through images and diagrams; auditory learners excel by listening to spoken content; reading/writing learners prefer writing and text-based materials; and kinesthetic learners understand concepts through hands-on activities. Understanding students’ preferences of learning styles grants higher academic efficiency and helps the faculty to use suitable teaching methods for enhancing the student’s grasping ability.

Objective:

To compare preferred learning styles by using …


Uncovering The Perceptions Of Grades In Dentistry Students: How Are Grades Impacting Learning & Clinical Development?, Jenna J. Yuen, Andrew Horne, Tyler S. Beveridge, Sarah Mclean Jan 2025

Uncovering The Perceptions Of Grades In Dentistry Students: How Are Grades Impacting Learning & Clinical Development?, Jenna J. Yuen, Andrew Horne, Tyler S. Beveridge, Sarah Mclean

Health Professions Education

Purpose. Educators have noted that grades may have negative impacts on students’ clinical performance; however, dental students’ perceptions of grading practices remains unknown. This study aims to: (i) identify the most prevalent grade perceptions and the underlying driving factors, and (ii) explore how students perceive the impact of grades on their learning and clinical development.

Methods. To address our aims, we used a mixed-methods research approach with a population of dentistry students at our institution. We distributed online surveys (Winter 2021; n=68), and conducted virtual semi-structured interviews (Fall 2021; n=6) and a focus group (Fall …


Chatgpt Use In Active Learning Among Nursing Students: A Cross-Sectional Study., Asma Bouriami, Kamal Takhdat, Sana Barkatou, Abdelmounaim Manoussi, Jaouad Chouikh, Samia Boussaa, Ahmed Rhassane El Adib Jan 2025

Chatgpt Use In Active Learning Among Nursing Students: A Cross-Sectional Study., Asma Bouriami, Kamal Takhdat, Sana Barkatou, Abdelmounaim Manoussi, Jaouad Chouikh, Samia Boussaa, Ahmed Rhassane El Adib

Health Professions Education

Purpose: Active pedagogy offers interesting potential for teaching and learning, especially when combined with artificial intelligence tools. The aim of this study is to investigate students' knowledge, attitudes, perceptions, and experiences regarding the use of ChatGPT within active learning methodologies.

Methods: A quantitative cross-sectional survey was conducted using a questionnaire with 913 nursing students from four public higher nursing institutes.

Results: Overall, the majority of participants have a low to medium level of knowledge, even though 79.4% of them use ChatGPT. In fact, Participants use ChatGPT mainly for problem-based learning, and project-based learning. In addition, men students are 1.55 more …


Effect Of The Development Of Social Networks On Expansion Of Social Entrepreneurship: Moderating Role Of Digital Technology Infrastructure And Social Norms, Mahdi Maskani, Reza Mohammadkazemi, Fargol Saberi Qomi Jan 2025

Effect Of The Development Of Social Networks On Expansion Of Social Entrepreneurship: Moderating Role Of Digital Technology Infrastructure And Social Norms, Mahdi Maskani, Reza Mohammadkazemi, Fargol Saberi Qomi

AMTP Proceedings 2025

In today's era, social networks, which are an effective tool in promoting ideas and innovations, have met with global acceptance and popularity. The communication that is formed between people in society through them can be the basis for ideas and opportunities for social entrepreneurship and voluntary social activities, and it is expected that this global platform will be the basis for the expansion of social entrepreneurship. The study aimed to examine the effect of the development of social networks on the expansion of social entrepreneurship by explaining the moderating role of digital technology infrastructure and social norms. The findings revealed …


Exploring The Role Of Online Discussion Forums In Endorsing Egyptian Undergraduates’ Efl Learning, Wesam Khairy Morsi Jan 2025

Exploring The Role Of Online Discussion Forums In Endorsing Egyptian Undergraduates’ Efl Learning, Wesam Khairy Morsi

English Language and Literature

eLearning Management systems (eLMS) are software applications used in universities worldwide to implement specific educational goals. eLearning platforms have several features that support traditional Face to Face (FTF) teaching and provide valuable opportunities for independent, self-paced learning. One of these features is the Online Discussion Forums (ODFs). This research paper investigates the role of ODFs in endorsing English as a Foreign Language (EFL) learning by examining students' perceptions of its accessibility, peer/instructor interaction, assessment criteria, and discussion topics. The paper also investigates the influence of gender on students' perceptions of the role of ODFs. This is a non-experimental research design, …


A Scientometric Study On Research Trends And Characteristics Of Tooth Intentional Replantation, Yan Zhou, Simin Deng, Wenhua Xu, Wei Liu, Yibo Guo, Mingyi Zhu Jan 2025

A Scientometric Study On Research Trends And Characteristics Of Tooth Intentional Replantation, Yan Zhou, Simin Deng, Wenhua Xu, Wei Liu, Yibo Guo, Mingyi Zhu

Journal of Dental Sciences

Background/purpose: Intentional replantation is regarded as a final strategy to preserve natural teeth affected by inaccessible endodontic and periodontal disease. The purpose of this study was to analyze the scientometric characteristics and research trends of tooth intentional replantation.

Materials and methods: All the papers on intentional replantation were comprehensively retrieved from the Scopus database. The years of publication were divided into before 2017 and after 2017 in the analysis of research trends.

Results: There were 356 papers on intentional replantation, with total citations of 5562 and the h index of 42. The trend of bone substitutes, boron …


Culture Of Disease: A Historiographical Review Of The Black Death, Jack Bamford Jan 2025

Culture Of Disease: A Historiographical Review Of The Black Death, Jack Bamford

History - Master of Arts in Teaching

I. Synthesis Essay ………………………………2

II. Document Selection ………………………. 22

III. Textbook Critique…………………………...32

IV. Original Textbook Entry…………………... 36


A Data-Driven Approach To Offshore Wind Forecasting In The Celtic Sea, Ajit C Pillai, Peter Jenkin, Ian Ashton, Edward Steele, Marcus Juniper, Jiaxin Chen Jan 2025

A Data-Driven Approach To Offshore Wind Forecasting In The Celtic Sea, Ajit C Pillai, Peter Jenkin, Ian Ashton, Edward Steele, Marcus Juniper, Jiaxin Chen

School of Engineering, Computing and Mathematics

Accurate weather forecasting is crucial for various industries,including offshore wind, which is vital for global net zeroenergy goals. Machine learning models, trained on historicaldata, offer a new opportunity by replacing traditional physicsbasedequations. These models can learn patterns not alwaysrepresented by physical equations, potentially increasing the accuracyand efficiency of weather forecasting compared to traditionalNumerical Weather Prediction (NWP).This study applies a machine learning framework (MaLCOM)to offshore wind forecasting in the Celtic Sea. It uses anattention-based LSTM recurrent neural network to learn temporalpatterns and a random forest-based spatial nowcasting model,trained on ERA5 data, for spatiotemporal predictions. Windsderived from wave spectra measured by buoys …


Wave Power Extraction From A U-Shaped Oscillating Water Column Consisting Of A Flexible Bottom-Standing Front Wall, Siming Zheng, Haojie Zheng, Simone Michele, Guixun Zhu, Yeaw Chu Lee, Deborah Greaves Jan 2025

Wave Power Extraction From A U-Shaped Oscillating Water Column Consisting Of A Flexible Bottom-Standing Front Wall, Siming Zheng, Haojie Zheng, Simone Michele, Guixun Zhu, Yeaw Chu Lee, Deborah Greaves

School of Engineering, Computing and Mathematics

In this paper, the concept of a U-shaped oscillating water column (UOWC) device consisting of a flexible bottom-standing front wall is proposed. The deflection of the flexible wall could bring benefits for wave power absorption. To evaluate the hydrodynamic performance and predict the wave power absorption of the flexible UOWC, a theoretical model based on the linear potential flow theory and the Galerkin approximation method is developed. For some examined flexible UOWCs, three peaks of the frequency response of the maximum wave power capture efficiency are observed, in which two are related to the resonant frequencies of the oscillating water …


A New Cfd-Mbd Wave-Structure Interaction Model: Coupling Openfoam With Chrono, Haifei Chen, Tianyuan Wang, Deborah Greaves, Hongda Shi, Qingping Zou Jan 2025

A New Cfd-Mbd Wave-Structure Interaction Model: Coupling Openfoam With Chrono, Haifei Chen, Tianyuan Wang, Deborah Greaves, Hongda Shi, Qingping Zou

School of Engineering, Computing and Mathematics

Interconnected multibody floating structures have gained popularity recently. The dynamic response of moored interconnected floating bodies to wave action, however, are complicated and challenging to model and analyze. To tackle the problem, a novel wave-structure-interaction (WSI) model is developed for the first time by coupling a finite volume CFD model, OpenFOAM, with Project Chrono, a multi-physics simulation engine for multibody dynamics (MBD) and finite element analysis, through linking pre-compiled dynamic libraries. This paper focuses on dynamic behavior of rigid structures restrained with a mooring system. To account for the floating body motion in the fluid solver, both mesh deformation and …


Scaled Physical Modelling Of Floating Offshore Wind Turbines Using A Neural Network-Based Surrogate Model For Aerodynamic Emulation, Emma C Edwards, Edward Barbour, Tom Tosdevin, Edward Ransley, Kieran Monk, Alastair Reynolds, Anna Holcombe, Scott Brown, Deborah Greaves, Martyn Hann Jan 2025

Scaled Physical Modelling Of Floating Offshore Wind Turbines Using A Neural Network-Based Surrogate Model For Aerodynamic Emulation, Emma C Edwards, Edward Barbour, Tom Tosdevin, Edward Ransley, Kieran Monk, Alastair Reynolds, Anna Holcombe, Scott Brown, Deborah Greaves, Martyn Hann

School of Engineering, Computing and Mathematics

Scaled physical modelling of floating offshore wind turbines is a crucial step in the continued development of floating offshore wind to reach Net-Zero goals. However, it is an inherently difficult task due to the incongruity between Reynolds scaling (important for wind effects) and Froude scaling (important for wave effects). One option to overcome this difficulty is to use a real-time hybrid testing approach, whereby a Froude-scaled model is tested in a wave basin with a thruster replacing the wind turbine. Typically, a low-fidelity numerical model is run in real time to determine the appropriate aerodynamic thrust applied by the thruster. …