Digital Commons Network^™

Coarsening Dynamics Of Ternary Polymer Solutions With Mobility And Viscosity Contrasts, Jan Ulric Garcia, Douglas R. Tree, Alyssa Bagoyo, Tatsuhiro Iwama, Kris T. Delaney, Glenn H. Fredrickson

Faculty Publications

Using phase-field simulations, we investigate the bulk coarsening dynamics of ternary polymer solutions undergoing a glass transition for two models of phase separation: diffusion only and with hydrodynamics. The glass transition is incorporated in both models by imposing mobility and viscosity contrasts between the polymer-rich and polymer-poor phases of the evolving microstructure. For microstructures composed of polymer-poor clusters in a polymer-rich matrix, the mobility and viscosity contrasts significantly hinder coarsening, effectively leading to structural arrest. For microstructures composed of polymer-rich clusters in a polymer-poor matrix, the mobility and viscosity contrasts do not impede domain growth; rather, they change the transient …

Efficacy Of Problem-Based Learning Over Traditional Pedagogy On U.S. Cpa Practice Exam Performance Among Chinese Accounting University Students, Bing Ouyang

Walden Dissertations and Doctoral Studies

No abstract provided.

Human-Robot Collaboration For Smart Manufacturing: A Sustainable Solution To The Future Of Manufacturing, Weitian Wang

Sustainability Seminar Series

Robotics technology has served humans in numerous application fields, especially product assembly in manufacturing contexts. Global competitors and technological advancements result in great challenges and much more complicated working environments for the manufacturing. Human-robot collaboration (HRC) has numerous vital and outstanding advantages to substantially lessen the amount of fixed production costs in comparison to variable costs. HRC provides a great solution to the complex hybrid manufacturing tasks. The cooperation of humans and robots in collaborative tasks can take advantage of the differing strengths from both sides. In this talk, I will give a broad introduction of robotics research and education …

Analysis Of Pharmaceutical Residues In Wastewater From A Ain, United Arab Emirates Using Liquid Chromatography-Tandem Mass Spectrometry And Circular Dichroism:Potential Hazardous Emergent Contaminants, Maya Iyad Berakdar

Thesis/ Dissertation Defenses

Although water is the second essential substance to life after air, clean water resources in many regions of the world have become limited because of climate change, establishing rivers’ dams and contaminations with hazardous life-threatening chemicals. Pharmaceutical residues in aquatic environments have been recognized as emerging contaminants causing adverse ecological and human health risks. Hundreds of pharmaceutical compounds and their metabolites were found in surface, underground, drinking and sewage waters in many countries. In United Arab Emirates, millions of drugs' dosages are annually used for human, poultry, and veterinary treatments. Drugs execrated as unchanged, metabolites or excesses can find their …

Classical Humanism: Reading Mesopotamian, Ancient And Judeo-Christian Myths To Make Psychology A Discipline Of Conversation, Bilal Issa

Duquesne Studies in Phenomenology

No abstract provided.

Theorizing, Journeying, Dwelling, Bernd Jager

Duquesne Studies in Phenomenology

No abstract provided.

Development And Implementation Of A Unique, Tailored School Lunch Training Program For Teachers And Their Stakeholders At Public Primary Schools In Thailand, Kantanit Chammari, Arisa Keeratichamroen, Kitti Sranacharoenpong, Punnee Ponprachanuvut, Nuttarat Srisangwan, Piyanit Churak, Panrawee Praditsorn

Journal of Health Research

Background: Although teachers responsible for the school lunch program were trained by the Ministry of Education (MOE) staff, they were not equipped with the basic knowledge of nutrition for children. This study aimed to develop and implement a unique, tailored school lunch training program for teachers and their stakeholders.

Methods: The training program was developed using the “Design for Learning (D4L) model.” Public primary schools run by the government from all regions of Thailand were selected. Target persons included principals, health teachers, nutrition teachers, cooks, and local staff from the MOE. All participants participated in a 5-day training course. …

The Effectiveness Of Employing Electronic Mind Maps In The Academic Achievement Of Seventh Students In Mathematics In Amman. فعالية توظيف الخرائط الذهنية الالكترونية في التحصيل الأكاديمي لطلبة السابع في الرياضيات في العاصمة عمان, Rania Hamadan

Association of Arab Universities Journal for Education and Psychology

The current study aimed to identify the effectiveness of employing electronic mind maps in the academic achievement of seventh students in mathematics in the capital, Amman. The researcher used the quasi-experimental approach. In order to answer the questions, the study relied on the achievement test after verifying its validity and reliability. The research sample consisted of (62) female students from the seventh grade. They were divided into two groups (the experimental group and the control group), each group consisted of (31) female students. The results of the study showed that there were differences in favor of students who studied using …

The Role Of Virtual Electronic Education In Rehabilitating Prison Inmates And Integrating Them Into Society From Their Viewpoint "The Experience Of The Syrian Virtual University In Damascus Central Prison As A Model". دور التعليم الإلكتروني الافتراضي في تأهيل نزلاء السجون ودمجهم في المجتمع من وجهة نظرهم "تجربة الجامعة الافتراضية السورية بسجن دمشق المركزي نموذجاً", Demaa Hasan

Association of Arab Universities Journal for Education and Psychology

This study aimed at investigating the role of virtual e-learning in rehabilitating prison inmates and integrating them into society from their viewpoint. A Descriptive analytical approach was undertaken in this study. The total number of participants was 60 student- prisoners in Damascus Central Prison during the first semester S22 of the academic year 2022-2023. The instrument of the study was a questionnaire included 22 items under three dimensions. The SPSS statistical program was used to analyze the study data and the hypotheses were tested at the level of significance (α= 0.05). The results confirmed the positive role of virtual e-learning …

Collective Efficacy Tracking Tool. Development Framework 2023, Kerry Elliott, Hilary Hollingsworth

Educational leadership

Collective efficacy has become a prominent feature in educational policy and practice with growing evidence that a strong sense of collective efficacy amongst educators leads to better outcomes for students. With growing interest in the importance of collective efficacy and how to cultivate it, the Collective Efficacy Tracking Tool was created to address challenges associated with understanding, diagnosing, and developing collective efficacy. This Framework describes the development of the Collective Efficacy Tracking Tool, defining collective efficacy in a way that it can be operationalised to leverage improvement efforts. The Framework and accompanying Collective Efficacy Tracking Tool provide a practical resource …

Investigating The Correlation Between Teachers’ Instructional Communication And Students’ Motivation, Reza Anggriyashati Adara, Josi Nur Panuntas Al Amin

Informasi

There is an anecdotal evidence that teachers’ instructional communication can affect students’ communication. Thus, the present study aims to investigate the correlation between teachers’ instructional communication and students’ motivation. The present study applies a quantitative approach by distributing a set of questionnaires to 52 participants in a senior high school in Bekasi, Indonesia. The findings of the present study indicate a strong correlation between teachers’ instruction communication and students’ motivation. In addition, the most salient factors of teachers’ instructional communication are feedback and organization of instructional units or teachers’ ability to deliver the materials. Regarding students’ motivation, the majority of …

Pisa In Brief 2022: Student Performance And Equity In Education, Lisa De Bortoli, Catherine Underwood, Sue Thomson

OECD Programme for International Student Assessment (PISA) Australia

The Programme for International Student Assessment (PISA) is an assessment that measures the knowledge and skills of 15-year-old students, an age at which they have nearly completed compulsory schooling. PISA assesses young adults’ ability to apply their knowledge and skills to real-life problems and situations rather than how well they have learned a specific curriculum. This PISA in Brief report provides a summary of student performance in the PISA 2022 assessment and tells us about their capacity to apply knowledge and skills in the domains of reading, mathematical, and scientific literacy.

Effects Of Dimerization On The Deacylase Activities Of Human Sirt2., Jie Yang, Nathan I Nicely, Brian P Weiser

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Human sirtuin isoform 2 (SIRT2) is an NAD+-dependent enzyme that functions as a lysine deacetylase and defatty-acylase. Here, we report that SIRT2 readily dimerizes in solution and in cells and that dimerization affects its ability to remove different acyl modifications from substrates. Dimerization of recombinant SIRT2 was revealed with analytical size exclusion chromatography and chemical cross-linking. Dimerized SIRT2 dissociates into monomers upon binding long fatty acylated substrates (decanoyl-, dodecanoyl-, and myristoyl-lysine). However, we did not observe dissociation of dimeric SIRT2 in the presence of acetyl-lysine. Analysis of X-ray crystal structures led us to discover a SIRT2 double mutant (Q142A/E340A) that …

Is Your Computer Lying? Ai And Deception, Noreen L. Herzfeld

Reuter Professorship of Science and Religion Publications

Recent developments in AI, especially the spectacular success of Large Language models, have instigated renewed questioning of what remains distinctively human. As AI stands poised to take over more and more human tasks, what is left that distinguishes humans? One way we might identify a humanlike intelligence would be when we detect it telling lies. Yet AIs lack both the intention and the motivation to truly tell lies, instead producing merely bullshit. With neither emotions, embodiment, nor the social awareness that leads to a theory of mind, AIs lack the internal referents on which to judge truth or falsity. When …

Dwarf Galaxies Show Little Ism Evolution From Z ∼ 1 To Z ∼ 0: A Spectroscopic Study Of Metallicity, Star Formation, And Electron Density, John Pharo, Yicheng Guo, Guillermo Barro Calvo, Teja Teppala, Fuyan Bian, Timothy Carleton, Sandra Faber, Puragra Guhathakurta, David C. Koo

Pacific Faculty Work

We present gas-phase metallicity measurements for 583 emission line galaxies at 0.3 < z < 0.85, including 388 dwarf galaxies with log ( M ⋆ / M ⊙ ) < 9.5 , and explore the dependence of the metallicity on the stellar mass and star formation (SF) properties of the galaxies. Metallicities are determined through the measurement of emission lines in very deep (∼7 hr exposure) Keck/DEIMOS spectra taken primarily from the HALO7D survey. We measure metallicity with three strong-line calibrations (O3Hβ, R23, and O3O2) for the overall sample, as well as with the faint [Ne iii]λ3869 and [O iii]λ4363 emission lines for 112 and 17 galaxies where robust detections were possible. We construct mass-metallicity relations (MZR) for each calibration method, finding MZRs consistent with other strong-line results at comparable redshift, as well as with z ∼ 0 galaxies. We quantify the intrinsic scatter in the MZR as a function of mass, finding it increases with lower stellar mass. We also measure a weak but significant correlation between increased MZR scatter and higher specific star formation rate (SFR). We find a weak influence of SFR in the fundamental metallicity relation as well, with an SFR coefficient of α = 0.21. Finally, we use the flux ratios of the [O ii]λ λ 3727,3729 doublet to calculate gas electron density in ∼1000 galaxies with log ( M ⋆ / M ⊙ ) < 10.5 as a function of redshift. We measure low electron densities (n e ∼ 25 cm⁻³) for z < 1 galaxies, again consistent with z ≈ 0 conditions, but measure higher densities (n e ∼ 100 cm⁻³) at z > 1. These results all suggest that there is little evolution in star-forming interstellar medium conditions from z ∼ 1 to z = 0, confirmed with a more complete sample of low-mass galaxies than has previously been available in this redshift range.

Formulation Of Causality-Preserving Quantum Time Of Arrival Theory, Denny Lane B. Sombillo, Neris I. Sombillo

Physics Faculty Publications

We revisit the quantum correction to the classical time of arrival to address the unphysical instantaneous arrival in the limit of zero initial momentum. In this study, we show that the vanishing of arrival time is due to the contamination of the causality-violating component of the initial wave packet. Motivated by this observation, we propose to update the temporal collapse mechanism in Galapon (2009) [18] to incorporate the removal of causality-violating spectra of the arrival time operator. We found that the quantum correction to the classical arrival time is still observed. Thus, our analysis validates that the correction is an …

Expression Of The Vesicular Gaba Transporter Within Neuromedin S+ Neurons Sustains Behavioral Circadian Rhythms, Ivana L. Bussi, Alexandra F. Neitz, Raymond E. A. Sanchez, Leandro P. Casiraghi, Michael Moldavan, Divya Kunda, Charles N. Allen, Jennifer A. Evans, Horacio O. De La Iglesia

Biomedical Sciences Faculty Research and Publications

The suprachiasmatic nucleus (SCN) of the hypothalamus is the site of a central circadian clock that orchestrates overt rhythms of physiology and behavior. Circadian timekeeping requires intercellular communication among SCN neurons, and multiple signaling pathways contribute to SCN network coupling. Gamma-aminobutyric acid (GABA) is produced by virtually all SCN neurons, and previous work demonstrates that this transmitter regulates coupling in the adult SCN but is not essential for the nucleus to sustain overt circadian rhythms. Here, we show that the deletion of the gene that codes for the GABA vesicular transporter Vgat from neuromedin-S (NMS)⁺ neurons—a subset of neurons …

Predictive Modeling Of Asphalt Pavement Performance Using Artificial Neural Networks, Rami Khalifah

Civil Engineering Theses

This thesis highlights the significance of using the Resilient Modulus (Mr) and Soil-Water Characteristic Curve (SWCC) coefficients within the scope of pavement design. It aims to demonstrate the importance of pavement quality and safety by developing a prediction model for bleeding and rutting depth in asphalt pavements using data from the Long-Term Pavement Performance (LTPP) database and the National Catalog of Natural Subgrade Properties Database. Additionally, the thesis builds predictive models using Artificial Neural Networks (ANNs), which include a single hidden layer and multiple neurons. The developed Mr and SWCC models in this thesis utilized the basic soil index properties …

Association Between Viral Infections And Glioma Risk: A Two-Sample Bidirectional Mendelian Randomization Analysis, Sheng Zhong, Wenzhuo Yang, Zhiyun Zhang, Yangyiran Xie, Lin Pan, Jiaxin Ren, Fei Ren, Yifan Li, Haoqun Xie, Hongyu Chen, Davy Deng, Jie Lu, Hui Li, Bo Wu, Youqi Chen, Fei Peng, Vinay K Puduvalli, Ke Sai, Yunqian Li, Ye Cheng, Yonggao Mou

Faculty, Staff and Student Publications

Background: Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma.

Methods: We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental …

Investigating The Influence Of Precursor Concentration On The Photodegradation Of Methylene Blue Using Biosynthesized Zno From Pometia Pinnata Leaf Extracts, Ari Sulistyo Rini, Yolanda Rati, Seliana Putri, Rahmi Dewi

Baghdad Science Journal

The ZnO nanoparticles were synthesized at various precursor concentrations i.e. 0.05, 0.1, and 0.5 M by biosynthesis method based on Pometia pinnata Leaf Extracts. Initial nanoparticle concentration influenced the optical bandgap, shape, and structure of nanoparticles. The photodegradation process was carried out under UV illumination. The efficiency of MB degradation was determined by measuring the decrease in MB concentration and by analyzing the optical absorption at 663 nm recorded by UV-Vis spectroscopy. Results showed that the biosynthesized ZnO nanoparticles exhibited efficient photodegradation of MB, with a maximum degradation rate of 80% after 90 minutes of exposure to UV-C light. The …

Oregon State Rank Assessment For Bonneville Redside Shiner (Richardsonius Balteatus Hydrophlox), Misty Nelson

Institute for Natural Resources Publications

Oregon state conservation status assessment for Bonnevile redside shiner (Richardsonius balteatus hydrophlox) using NatureServe methodology, 2023.

Exploring The Impact Of Signal Quality Enhancement On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Articles

Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease. Noise in heart sound recordings, however, can reduce the performance of such data-driven models. Various quality enhancement approaches have been adopted to alleviate the destructive impact of noise on model performance. One approach is universal noise reduction which applies denoising techniques to recordings, irrespective of their noise level. The second approach is targeted noise reduction, which applies denoising solely to recordings deemed to need it, based …

Ucc Minutes 12-5-23, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Development Of An App For The Kalamazoo Nature Center, Ernest Au

Honors Theses

Kalamazoo Nature Center (KNC), which has been recognized by its peers as one of the top nature centers in the country, is home to over 14 miles of hiking trails winding through woods, wetlands, and prairies. There are numerous places/plots in KNC that have an interesting and impressive history besides being home to a variety of animals and hundreds of wildflowers and other plant life. To improve the visitor’s experience at KNC, we will design a software app via the senior capstone project at the department of Computer Science at WMU. As the first step towards establishing a reference model …

Further Results On (A, D) -Total Edge Irregularity Strength Of Graphs, Muthugurupackiam K., Pandiaraj P., Gurusamy R., Muthuselvam I.

Baghdad Science Journal

Consider a simple graph ��=(��,��)on��vertices and ��edges together with a total ℎ–labeling ��:��(��)∪��(��)→{1,2,3,...,ℎ}. Then ρ is called (��,��)–total edge irregular labeling if there exists a one-to-one correspondence, say ��:��(��)→{��,��+��,��+2��,...+��+(��−1)��}defined by ��(����)=��(��)+��(��)+��(����)for all ����∈��(��),where ��≥3,��≥2.Also, the value ��(����)is said to be the edge weight of ����. The (��,��)−total edge irregularity strength of the graph G is indicated by (��,��)−������(��)and is the least ℎfor which G admits (��,��)–edge irregular h-labeling. In this article, (��,��)−������(��)for some common graph families are examined. In addition, an open problem (3,2)–������(��_(��,��)),��,��>2is solved affirmatively.

Recognizing Different Foot Deformities Using Fsr Sensors By Static Classification Of Neural Networks, Ayham Darwich, Ebrahim Ismaiel, Ayman Al-Kayal, Mujtaba Ali, Mohamed Masri, Hasan Mhd Nazha

Baghdad Science Journal

Sensing insole systems are a promising technology for various applications in healthcare and sports. They can provide valuable information about the foot pressure distribution and gait patterns of different individuals. However, designing and implementing such systems poses several challenges, such as sensor selection, calibration, data processing, and interpretation. This paper proposes a sensing insole system that uses force-sensitive resistors (FSRs) to measure the pressure exerted by the foot on different regions of the insole. This system classifies four types of foot deformities: normal, flat, over-pronation, and excessive supination. The classification stage uses the differential values of pressure points as input …

An Improved Neurogenetic Model For Recognition Of 3d Kinetic Data Of Human Extracted From The Vicon Robot System, Ivan V. Stepanyan, Safa A. Hameed

Baghdad Science Journal

These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial …

A Qualitative Study Of Principals’ Perception As Implementers Of The Teacher Evaluation Model, Achievenj, And Federal Education Policies In An Urban Public School District In New Jersey, Petra Liz-Morell

Seton Hall University Dissertations and Theses (ETDs)

The study explores the implementation of teacher evaluation models and federal education policies, particularly AchieveNJ, in an urban public school district in New Jersey. It focuses on principals' experiences and perceptions, uncovering their challenges and thoughts on the policy's effectiveness in enhancing teacher performance and student learning outcomes. The research delves into the complexities and uncertainties principals face, examining how these align with their leadership practices and impact policy execution. It also investigates the contextual factors influencing AchieveNJ's execution and effectiveness, providing insights for future policy formulation and practical implementation.

A key aspect of the study is its use of …

Nonan Gaitprint: An Imu Gait Database Of Healthy Young Adults, Tyler M. Wiles, Madhur Mangalam, Joel H. Sommerfeld, Seung Kyeom Kim, Kolby J. Brink, Anaëlle Charles, Alli Grunkemeyer, Marilena Kalaitzi Manifrenti, Spyridon Mastorakis, Nicholas Stergiou, Aaron Likens

Journal Articles

An ongoing thrust of research focused on human gait pertains to identifying individuals based on gait patterns. However, no existing gait database supports modeling efforts to assess gait patterns unique to individuals. Hence, we introduce the Nonlinear Analysis Core (NONAN) GaitPrint database containing whole body kinematics and foot placement during self-paced overground walking on a 200-meter looping indoor track. Noraxon Ultium MotionTM inertial measurement unit (IMU) sensors sampled the motion of 35 healthy young adults (19–35 years old; 18 men and 17 women; mean ± 1 s.d. age: 24.6 ± 2.7 years; height: 1.73 ± 0.78 m; body mass: …

Uniquely Tailored Ionic Materials For Implementation In Energy, Imagining, And Antibacterial Applications, Amanda Jalihal

Theses and Dissertations

In this dissertation, the novel class of ionic materials is explored. Ionic materials are easily tuned and tailored to fit a wide variety of applications. The synthesis of ionic materials is extremely simple and prompt. Briefly, two ionic moieties are joined electrostatically through a double displacement resulting in a new compound without complicated synthesis. This process leads to a close proximity of the ions which allows for enhancement of the FRET mechanism between a fluorophore and chromophore. A potential application of a FRET active ionic material is explored as a photosensitizer using IR820 and Nile Blue A. The ionic material, …