Digital Commons Network^™

Taiwanese Elementary School Teachers’ Mindset Of Content And Language Integrated Learning (Clil) Instruction, Chin-Wen Chien

Journal of English Learner Education

Teachers need to undergo a mindset shift in language learning and teaching. This study used both qualitative and quantitative data to explore seven Taiwanese Content and language integrated learning (CLIL) teachers’ mindsets and led to the following major findings. First, the CLIL teachers had a stronger mindset regarding their instructional strategies, lesson preparations, and efficacy, compared to their more moderate mindset regarding their CLIL training and preparation. Secondly, the CLIL teachers had a different mindset regarding language use in their CLIL instruction due to their learners’ English proficiency levels. Finally, their lesson designs were lacking a 4Cs culture. Based on …

A More Sustainable Future For Dentistry, Jillian Bulter

Virginia Dental Journal

Jillian Bulter, a biomedical engineering major, became involved in a research project at VCU focused on developing biodegradable plastics to replace single-use plastics in dental clinics. Collaborating with Dr. Eser Tüfekçi and Dr. Todd Kitten, the team tested the effectiveness of these novel plastics in preventing bacterial contamination. Although initial results indicated the need for further development, the project represents a significant step towards more sustainable dental practices.

Vcu Enhances Cultural Competency And Provides Better Care For Patients, Giovanni Flores

Virginia Dental Journal

The Hispanic Student Dental Association (HSDA) at Virginia Commonwealth University (VCU) is working to improve healthcare for Hispanic communities by addressing language barriers and promoting cultural competency. With Hispanics making up 19.1% of the U.S. population but only a small percentage of the dental workforce, VCU's HSDA provides Spanish dental terminology booklets and hosts Spanish workshops for students, faculty, and staff. These efforts aim to enhance communication with Spanish-speaking patients and improve their overall healthcare experience.

Effects Of A Non-Invasive Device On Xerostomia; A Pilot Study To Improve Quality-Of-Life, Susie P. Goolsby Dds, Michael Barnett Dds, Caroline K. Carrico

Virginia Dental Journal

This pilot study evaluated the effects of the Voutia™ hydration system on xerostomia (dry mouth) and its impact on patients' quality of life. Fifteen patients with confirmed xerostomia used the device for six weeks. Results showed significant improvements in quality of life measures, including the Oral Health Impact Profile and Xerostomia Inventory scores. Stimulated salivary flow increased significantly, while unstimulated salivary flow showed improvement but was not statistically significant. The study concluded that the Voutia™ system effectively improved oral hydration and quality of life for patients with dry mouth, with no adverse events reported. Further studies with larger cohorts and …

Treatment Access And Outcomes For Craniofacial Care: Patient And Parent Perspectives, Benjamin F. Lowe Iii, Dds, Bhavna Shroff, Steven J. Lindauer, Caroline K. Carrico, A Abubaker

Virginia Dental Journal

Introduction: The purpose of this study was to evaluate craniofacial patients and parent attitudes toward access to care, quality of care, and use of telehealth.

Methods: An original survey was sent to families in treatment with the Virginia Commonwealth University craniofacial team to assess opinions toward various aspects of care.

Results: On average, no factors were considered a barrier to care. Quality of care was highly rated. Respondents felt neutral about telehealth overall, but those with past telehealth experience were significantly more likely to find value in its use (p < 0.01).

Conclusion: Respondents had satisfactory treatment outcomes and good access to …

Va Dent J January, February And March 2024

Virginia Dental Journal

The latest issue of the Virginia Dental Journal (Volume 101, Number 1) highlights significant advancements and challenges in Virginia's dental community. A central feature is a farewell to Dr. Richard Roadcap, who reflects on his impactful 16-year tenure as editor. The issue includes a compelling research study on patient and parent perspectives regarding craniofacial care, with a focus on treatment access, outcomes, and the role of telehealth. Advocacy efforts take center stage with updates on legislative initiatives aimed at increasing transparency in dental insurance and improving patient care access. Additional columns emphasize the importance of embracing technological advancements in dentistry, …

Survey: A Study On Image Encryption Using Dna In Bioinformatics, Rana M. Zaki, Zaed S. Mahdi, Matheel E. Abdulmunim

Journal of Soft Computing and Computer Applications

One area of study between computer science and biology is bioinformatics, which deals with methods for collecting, processing, storing, and evaluating biological data. Sequences of RiboNucleic Acid (RNA), DeoxyriboNucleic Acid (DNA), and proteins make up biological data, which has a wide range of uses in domains such as feature extraction, data segmentation, data security, and more. In cryptography, DNA sequences are used as data carriers, enhancing the unique properties of biomolecules. This approach involves using DNA sequences to enhance the security of confidential data that must be transmitted over networks or stored securely. Several DNA-based security techniques have been developed, …

Enhancing Image Classification Using A Convolutional Neural Network Model, Zena M. Saadi, Ahmed T. Sadiq, Omar Z. Akif, Marwa M. Eid

Journal of Soft Computing and Computer Applications

In recent years, with the rapid development of the current classification system in digital content identification, automatic classification of images has become the most challenging task in the field of computer vision. As can be seen, vision is quite challenging for a system to automatically understand and analyze images, as compared to the vision of humans. Some research papers have been done to address the issue in the low-level current classification system, but the output was restricted only to basic image features. However, similarly, the approaches fail to accurately classify images. For the results expected in this field, such as …

Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose

Dissertations

Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.

A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …

2024 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Griffin's Slow Burn Revolution In Philosophy And Comparative Cognition, Kristin Andrews

Animal Sentience

Ristau presents Griffin as launching a scientific revolution supported by philosophical insights. This commentary focuses on two points: Griffin as a scientific revolutionary, although the cognitive ethology revolution is not yet complete; and on the immense influence Griffin had, and continues to have, on philosophy.

Machine Learning Methods For Pattern Recognition Analysis Of Genomic And Molecular Data, Kuang Du

Dissertations

While immune therapies achieve remarkable success in treating various cancers, only a subset of patients achieves a durable clinical response, and many exhibit innate or acquired resistance. Precision medicine aims to tailor treatments to individual patients based on specific biological markers, ensuring that each patient receives the therapy most likely to be effective. Predictive biomarkers and gene signatures offer potential for more personalized treatment strategies by identifying patients likely to benefit. Recent studies suggest that gene signatures, comprising sets of genes, hold predictive value for certain clinical variables. Typically derived from biological expert knowledge, these signatures demonstrate substantial predictive potential, …

Decomposition Of Diisopropyl Methylphosphonate (Dimp) Exposed To Elevated Temperatures And Combustion Products Of Reactive Materials, Elif Irem Senyurt

Dissertations

The safe and efficient destruction of chemical weapon agents (CWAs) stockpiles remains a critical global challenge. Understanding the thermophysical properties, decomposition mechanisms, and interactions of CWAs with their environment is crucial for developing effective strategies to mitigate their threats. Diisopropyl methylphosphonate (DIMP) and Dimethyl methylphosphonate are commonly used nerve agent surrogates. This dissertation focuses on DIMP and DMMP, investigates their properties and behavior under conditions relevant to prompt defeat scenarios.

The thermophysical properties of DIMP and DMMP were experimentally characterized, including vapor-liquid surface tension (3-60 °C) and viscosities of neat and aqueous solutions. Results revealed significant non-ideal behavior in aqueous …

Crowd-Sourced Learning For Computer Graphics Applications, Yunhao Zhang

Dissertations

Computer Graphics (CG) revolves around virtual content creation using computational methods, spanning applications from games to visual effects. Typically, the creation of CG content is led by expert practitioners who guide computational algorithms towards satisfactory results. Thus, creating CG content often requires manual iterations encompassing algorithm design, parameter tuning, and aesthetic feedback. This work investigates how to leverage crowd-sourcing to streamline such creation processes, focusing on animation and simulation. In animation, a novel crowd-sourcing framework is proposed for combat animation, enabling users to analyze motion similarities, and retrieve matching motions using novel crowd-sourced motion features. Such features enable quantifying previously …

Automatic Generation Of Physics Items With Large Language Models (Llms), Moses Oluoke Omopekunola, Elena Yu Kardanova

REID (Research and Evaluation in Education)

High-quality items are essential for producing reliable and valid assessments, offering valuable insights for decision-making processes. As the demand for items with strong psychometric properties increases for both summative and formative assessments, automatic item generation (AIG) has gained prominence. Research highlights the potential of large language models (LLMs) in the AIG process, noting the positive impact of generative AI tools like ChatGPT on educational assessments, recognized for their ability to generate various item types across different languages and subjects. This study fills a research gap by exploring how AI-generated items in secondary/high school physics aligned with educational taxonomy. It utilizes …

Issues In Religion And Psychotherapy Volume 42 Number 1

Issues in Religion and Psychotherapy

No abstract provided.

Online Versus Face-To-Face Instruction: Entry Level Accounting Students Are Performing About The Same, Nancy L. Johnson, Candalyn B. Rade

The North American Accounting Studies

Students today demonstrate strong aptitude for using online learning resources resulting from most completing high school during the COVID-19 pandemic. Learning resources available for instructional design include faculty created, publisher provided, and a plethora of online videos. This study aimed to understand if scores on graded assignments differ between online (OL) and face-to-face (F2F) sections of entry-level accounting, differences in student learning resources access, and if access correlates with performance on graded assignments. Findings revealed students performed similarly in OL and F2F sections on many, but not all graded assignments. Video resource access was higher for OL students and was …

Hubungan Abnormalitas Ekokardiografi Terhadap Mortalitas Pasien Terkonfirmasi Covid-19 Derajat Berat Dan Kritis Di Rsupn Dr. Cipto Mangunkusumo, Fidiaji Hiltono Santoso, Idrus Alwi, Sally A. Nasution, Cleopas Martin Rumende

Jurnal Penyakit Dalam Indonesia

Introduction. The mortality rate of COVID-19 patients in Indonesia is high with manifestations of cardiac complications. Echocardiographic evaluation can help identify cardiac functional and structural disorders associated with patient mortality. Therefore, this study aims to determine the relationship between echocardiographic abnormalities and mortality in severe and critical COVID-19 patients.

Methods. A retrospective cohort study was conducted using medical record data of severe and critical COVID-19 patients at Dr. Cipto Mangunkusumo Hospital Jakarta during March 2020 to April 2021. Subjects were selected using total sampling. Descriptive analysis was performed, presenting descriptive tables, and bivariate analysis was conducted using the …

Long Covid Dan Sistem Kardiovaskular, Muhadi Muhadi, Ivan Mardhi Laksmana

Jurnal Penyakit Dalam Indonesia

Even after nasopharyngeal Polymerase Chain Reaction (PCR) swab investigation revealed no COVID-19 infection, some individuals continue to have long COVID symptoms. According to a research published in 2022, 4.5 – 36.6% of patients had symptoms following a COVID-19 infection more than three months. Long COVID symptoms may impact multiple organ systems, including the cardiovascular system. Chest pain, palpitations, arrhythmia, postural orthostatic tachycardia syndrome, and other symptoms are possible appeared in long COVID. D-Dimer, echocardiography, CT scan, cMRI and other supportive test showed meaningful results. Pharmacological treatment can be given based on the concurrent diagnosis found in patients with long COVID. …

Optimizing Bioethanol Production From Solanum Torvum (Devil's Thorn): An Evaluation Of Conversion Efficiency And Invasive Plant Management Potential, Jaya Ashwin D S, Navaneeth K, Abhay Mahesh Baadkar, Supriya S Sundar, Bhoomika B J

Manipal Journal of Science and Technology

Solanum torvum, commonly known as the Devil’s thorn, is an invasive species present in India that causes negative ecological consequences. However, given its abundance and high starch content in the plant, it could be utilized as a potential feedstock for sustainable biofuel production. We aim to explore the feasibility of bioethanol production from S. torvum and its potential as a means of managing this invasive species. The study will take on a comprehensive approach, including techniques for optimizing starch extraction and improving its accessibility. Fermentation with suitable strains of microorganisms, and analysis of bioethanol yield. In addition, the study will …

An Energy-Efficient Clustering Technique Of Heterogeneous And Homogeneous Wireless Sensor Networks, Ahmad Alkhayyat, Rohit Sharma

NJF Intelligent Engineering Journal

The technology of wireless sensor networks (WSN) has recently gained widespread recognition as an emerging one. A WSN consists of a set of sensors powered by batteries. Inaccessible locations usually make it difficult to replace or recharge sensors' batteries. These networks are plagued by energy consumption, which is the main problem. The clustering algorithms are remarkably effective in dealing with such problems in this regard. As a result, this technique appears to help reduce node energy consumption, which ultimately increases the network's lifespan. Heterogeneous and homogeneous clustering algorithms exist. In homogeneous clustering algorithms, all nodes have the same technical characteristics, …

Optimized Thyroid Disease Classification Using Nature-Inspired Algorithms: Gwo & Woa, Sayan Mondal

NJF Intelligent Engineering Journal

Recently, there has been an upsurge in the number of cases of thyroid disease. Thyroid function is essential for metabolism, making the early diagnosis of thyroid dysfunction an urgent matter. The issue of class imbalance has not been thoroughly examined, even though there are multiple publications on the topic of thyroid disease detection. Furthermore, the binary-class problem has been the primary emphasis of previous research. This study intends to address these concerns by using the suggested strategy, which takes into account ten distinct thyroid illnesses. In order to choose the best features from the Thyroid dataset, this research proposes two …

A Predictive Iot And Cloud Framework For Smart Healthcare Monitoring Using Integrated Deep Learning Model, Preeti Rani, Umesh Chandra Garjola, Haider Abbas

NJF Intelligent Engineering Journal

The researchers developed a deep learning-based smart healthcare monitoring system based on IoT and cloud technology. The proposed system integrates IoT sensors for real-time collection of physiological data, such as ECG, blood pressure, and heart rate, with cloud computing for secure storage and advanced analytics. Utilizing the Bi-LSTM model with fuzzy inference systems (FIS), the framework enhances the accuracy and efficiency of heart disease prediction. According to the evaluation, the model performs better in terms of accuracy, precision, recall, and F1 score than traditional LSTM and FLSTM models. By enabling early detection and personalized interventions, the system aims to reduce …

A Predictive Framework Combining Iot And Machine Learning Regression Models For Smart Precision Farming, Kusum Yadav, Nesreen Abdou El-Hadiede

NJF Intelligent Engineering Journal

In this paper, the Internet of Things (IoT) and machine learning algorithms that incorporate regressor are integrated to improve precision agriculture. Data from Internet of Things sensors like temperature sensors, humidity sensors, and soil sensors can be collected and analysed using machine learning algorithms like Support Vector Machines (SVMs) and Multilayer Perceptrons (MLPs). By using the proposed system, crop yield will be optimised, resource usage will be minimised, and the environmental impact of agriculture will be reduced. A comparison of predictive accuracy and error metrics, such as RMSE, demonstrated the effectiveness of automated monitoring, predicting crop health issues, and implementing …

Comparative Analysis Of Nature-Inspired Optimization Algorithms: Applications, Challenges And Future Directions, Prerna Mann

NJF Intelligent Engineering Journal

With the proliferation of data generation, the process of achieving optimal solutions is getting more complex. It is becoming increasingly clear that intelligent metaheuristics algorithms are the way to go for solving these complicated optimisation problems, particularly when faced with several restrictions. The development of effective methods for dealing with these optimisation challenges has prompted the creation of numerous new algorithms. These algorithms are either improving their ability to handle problems in many domains or are investigating new contexts in which they could be useful. The field is advancing at a quick pace, leaving many in the dark about its …

Biological Abnormalities In Long Covid Disease: A Mini Review, Abbas F. Almulla, Hanaa Addai Ali

NJF Biomedicine Journal

Long COVID (LC) is characterized by prolonged, diverse symptoms affecting multiple organ systems, including but not limiting to the immune, neurological, and cardiovascular systems. This mini review explores the biological abnormalities underpinning LC, focusing on immune dysregulation, chronic inflammation, oxidative stress, and mitochondrial dysfunction as key contributors to its persistence. Recent studies indicate that LC may involve sustained elevation of pro-inflammatory cytokines, autoimmunity, and T-cell exhaustion, all of which perpetuate a state of low-grade chronic inflammation. Additionally, oxidative and nitrosative stress linked to mitochondrial damage exacerbates fatigue, mood and cognitive symptoms, while hormonal imbalances and metabolic disturbances further complicate the …

Identification And Evaluating Of Some Alkaloids From Ethanolic Extracts Of Agaricusbisporus (J.) As Assistant Coagulant Agent, Hassan Falih Hassan Salman Al-Ardawi, Esraa Mohammed Kadhim Al- Huchimi, Alshimaysawee Sadeq, Ameer Mohammed Ridha

NJF Biomedicine Journal

Background: Alkaloid, any of a class of naturally occurring organic nitrogen-containing bases. Alkaloids have diverse and important physiological effects on humans and other animals.

Objectives: In the present study we have studied the effect of ethanolic extract of mushroom on the blood biochemistry parameters in through 21 days of treatment.

Methods: The study was conducted in biotechnology laboratories and animal house of the Department of biology in Faculty of Science / University of Kufa to evaluate the biological activity of ethanol alcohol alkaloids extracts fruits of Mushroom Agaricusbisporus (J.) as assistant of coagulant Agent using (60) healthy adult male Albino …

Histodynamics Of Natural Killer Cells From A Healthy Donor Exposed To Exosomes From The Blood Of Hepatocellular Carcinoma Patients, Indria Asrinda, Radiana Dhewayani Antarianto, Ahmad Aulia Jusuf, Ardhi Rahman Ahani, Chyntia Olivia Maurine Jasirwan, Ni Ken Ritchie, Robby Nur Aditya, Cosphiadi Irawan

Makara Journal of Health Research

Background: Hepatocellular carcinoma (HCC) is the leading form of liver cancer and the second leading cause of cancer-related deaths globally. Exosomes in the HCC microenvironment can induce significant changes in natural killer (NK) cells during endocytosis. The present study aimed to distinguish exosomes in the blood of HCC patients, analyze changes in NK cell phenotype, and evaluate peroxidase and toluidine blue staining as alternative methods for observing the changes.

Methods: NK cells were collected from healthy donors, and exosomes were extracted from the blood of HCC patients. The exosomes were characterized in accordance with MISEV 2018 guidelines, and …

Elevate Your Family Law Practice, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held March 1, 2024.

How To Fight & Beat Procrastination & Master Your Workday For Lawyers, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held October 30, 2024.