Digital Commons Network^™

Met 303-452: Applied Thermodynamics, Angelantonio Tafuni

School of Applied Engineering and Technology Syllabi

No abstract provided.

Neighborhood Social Processes And Adolescents' Depressive Symptoms: The Intervening Role Of Neighborhood Self-Efficacy, Kristen A. Berg

Faculty Scholarship

Via observational data from the Project on Human Development in Chicago Neighborhoods collected between 1994 and 2001, this study examined the degree to which neighborhood disorder, collective efficacy, and youth-centered institutional resources are directly associated with adolescents' depressive symptoms across time, and the mediating role of adolescents'neighborhood self-efficacy. Latent variable structural equation models were estimated among an unweighted representative sample of 1448 adolescents (59% male, mean age 15.19), across 79 neighborhoods in Chicago, to examine the direct effects of neighborhood disorder, collective efficacy, and availability of youth-centered resources at baseline (measured at timepoint 1; reported by an independent sample of …

Earth's Shadow Will Blanket The Moon During A Lunar Eclipse On March 14, Erik Johnson

Natural Science Faculty

A lunar eclipse is happening on Pi Day this year.

Lunar eclipses occur when Earth lines up between the Sun and the Moon, allowing the Moon to fall in our planet’s shadow. Although the Moon gets much darker, we can still see the shrouded satellite glow red and orange during a total eclipse. Earth’s atmosphere refracts sunlight, changing its trajectory and allowing some light to shine on the Moon. This is the light we see at dawn and dusk, when the sky turns from blue to yellow or orange. Thus, the eclipsed Moon is illuminated by all of Earth’s sunrises …

Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes

Engineering Faculty Articles and Research

To address the need for interventions targeting social emotional development and mental health of young children in South Africa, the Mazi Umntanakho (‘know your child’) digital tool was co-designed, and piloted with caregivers and 3–5-year-old children involved in home visiting programmes promoting early childhood development. The aim of this study was to qualitatively evaluate the feasibility and acceptability of this tool in four urban and four rural low-income communities, from the perspective of home visitors and caregivers. Focus groups were conducted with home visitors (n = 117) and caregivers (n = 72). Issues relating to the feasibility of …

Do “Say-On-Pay” Votes Affect M&A Decisions?, Shantanu Dutta, Micah S. Officer, Ruixiang Wang, Pengcheng Zhu

Finance Faculty Works

This paper demonstrates that firms receiving above-industry-average support in their “say-on-pay” (SoP) votes engage in more M&A transactions in the subsequent year. Our empirical findings suggest that high levels of SoP voting support may boost managerial confidence, thereby stimulating increased pursuit of acquisitions. Moreover, we observe that managers garnering higher SoP vote support are more likely to secure shareholders' backing in M&A votes, receive higher compensation in successful deals, and face a reduced likelihood of forced turnover following unsuccessful deals. Additionally, we find that both short-term and long-term M&A performance significantly improves in deals announced by managers receiving higher SoP …

System Dynamics For Manufacturing: Supply Chain Simulation Of Hemp-Reinforced Polymer Composite Manufacturing For Sustainability, Gurinder Kaur, Ronald Kander

School of Design and Engineering Papers

Supply chain management (SCM) involves complexities and uncertainties in the flow of goods and services from raw materials to end users. Inaccurate estimation of raw materials, labor, or equipment can lead to financial losses and environmental impacts. This study explores the application of system dynamics modeling (SDM) in manufacturing hemp-reinforced polymer composites (HRPC) to optimize resource usage. Using SDM software STELLA^® (Version 3.7.3), selected for its affordability and features, the research demonstrates how system dynamics (SD) can enhance sustainability by minimizing materials, labor, and equipment, reducing energy consumption. A literature review identified a gap in existing research, as we …

Returning To The Edge: Religious Education, Affiliation, And Accompaniment, Patrick R. Manning Ph.D.

Immaculate Conception Seminary School of Theology Publications

The aim of this article is to envision approaches better suited to facilitating an encounter with God’s love for those who find themselves at the edges of church affiliation. The first part of the article involves an exercise in pastoral listening, endeavoring to understand the present concerns and realities of such people as they experience them. The second part offers principles and examples of the kind of accompaniment that current research and practice suggest is better suited to our present situation and the needs of people who do not feel at home in the Church.

Taking Back Control: Using The Takings Clause To Hold Animal Agriculture Responsible For Its Waste Problem, Rowan Aragon

Northwestern University Law Review

Between the mid-twentieth century and modern day, the animal-agriculture model has shifted from small farms to industrial operations. During that evolution, the negative externalities of animal-farming practices have intensified. One of those externalities—animal waste—has become particularly problematic. Because of the sheer number of animals raised in the United States for slaughter and dairy production, the magnitude of animal waste produced is overwhelming. To deal with this problem, animal farmers often liquefy the animal waste and then spray it onto open fields. In that spraying process, liquefied animal waste carries through the air and reaches nearby homes, coating those properties with …

The Healing Power Of Antitrust, Theodosia Stavroulaki

Northwestern University Law Review

Millions of Americans live in hospital deserts—communities where people lack geographic access to hospitals and primary care physicians. People living in these deserts often miss doctor appointments, delay necessary care, and stop adhering to their treatment. In this way, hospital deserts exacerbate the health disparities plaguing America. This Article demonstrates that hospital deserts are not inevitable but the result of several business strategies—including noncompete agreements and merging with competitors—and antitrust enforcers’ unwillingness to recognize these harmful practices as antitrust violations. To cure the issue of hospital deserts, this Article makes three proposals. First, antitrust enforcers and the courts should expand …

Peeping Town: Drone Surveillance And The Exclusionary Rule In Long Lake Township V. Maxon, Stuart Massa

Northwestern University Law Review

For years, legal commentators have pondered the effect of the Fourth Amendment on drones, but purely as an academic exercise. No court had ever considered drone surveillance under the Fourth Amendment––until now. In Long Lake Township v. Maxon, a northern Michigan township flew a drone over a local resident’s home to gather photographic evidence of an alleged zoning violation. Relying on that evidence, the township sued to enforce its zoning ordinance. The resident moved to suppress the evidence, arguing that the drone’s warrantless surveillance violated the Fourth Amendment. The case made it all the way up to the Michigan …

Exploring Urban Growth Drivers In Heritage Areas Using Machine Learning: The Case Of Gharb Sohail, Aswan, Mohamed E. Elattar

Architectural Engineering

Heritage areas are increasingly threatened by rapid urban expansion, driven by population growth and insufficient planning measures. These areas are vital as they preserve cultural identity, social cohesion, and economic vitality, making their preservation essential. This study investigates the drivers of urban expansion in Gharb Sohail, Aswan, a culturally and historically significant heritage area. Employing Geographic Information Systems (GIS) and advanced machine learning models, including the Land Change Modeler (LCM) and Multi-Layer Perceptron (MLP) neural networks, the research identifies key factors shaping urban growth and simulates future expansion scenarios. The findings indicate that urban sprawl within the study area is …

Classifying Items With The Rating Values 3 Using Text Reviews To Improve The Recommendation Accuracy In The Collaborative Filtering Approach, Ali Mohsin Ahmed Al-Sabaawi, Mohsin Hasan Hussein, Muyassar Dalli

Karbala International Journal of Modern Science

Collaborative filtering is a common aspect recently used in e-commerce to increase sales and overcome information overload. One significant limitation in collaborative filtering is data sparseness. Several studies have proposed alleviating this issue by utilizing extra information such as users’ reviews. However, the researchers have been concerned with using entire reviews irrespective of the users’ ratings. This requires extra processing time and might perplex the recommendation decision. In this study, after analyzing the users’ ratings and reviews, it was noted that when the rating values are 4 or 5, most of the reviews accompanying these ratings are positive. Otherwise, when …

Computational Investigation Of The Unveils Nsd2 Inhibition Potential Of Berberis Vulgaris, Sambucus Nigra, And Morus Alba Through Virtual Screening, Molecular Docking, Md Simulation, And Dft Analyses, Supriyo Saha, Vanshita Gupta, Ahad Hossain, Prinsa Prinsa, Jannatul Ferdous, Kiran Bharat Lokhande, Vikash Jakhmola, Sarkar M. A. Kawsar

Karbala International Journal of Modern Science

Nuclear receptor binding set domain protein 2 (NSD2) plays a key role in chromatin regulation and is associated with different cancers and other developmental problems. Berries are rich in major secondary metabolites with anticancer properties. Here, we virtually screened 145 berry phytochemicals as putative NSD2 inhibitors via structure-based virtual screening, molecular docking, MD simulations, and DFT and ADMET analyses. Among them, α-carotene had the maximum docking score of -9.9 kcal/mol, followed by sulfuretin and β-amyrin. MD simulation analysis revealed that the dynamic behavior of the ligand‒NSD2 complexes was within the limit, indicating no significant changes in the structural integrity of …

Antimicrobial Effect Of Herbs Extracted With Ethanol Compared To Ampicillin, Brianna Neilan, Laura Rowe

Posters-at-the-Capitol

Antibiotics are commonly used to treat bacterial infections within the medical field, however there are growing concerns of antibiotic resistance. Before the introduction of antibiotics herbs were commonly used to treat infections, and herbal medicine is still used in many communities and cultures. Bacteria’s increasing resistance to traditional antibiotics has caused herbal medicines to become a significant research topic recently. Methods of herbal medicine preparation include preparing teas using hot water, and tinctures that soak herbs in alcohol for several weeks. Previous research has shown significant antimicrobial effects of some herbs when soaked in water and other liquids. The aim …

Novel Approach For The Micro Cracks Detection Of Solar Wafers And Cells, Mohd Israil, Arvind Kumar Sharma, Ekta Gupta

Al-Bahir

This paper deals with the review of various existing technique for the microcracks detection in silicon solar cell and wafer. In addition to this, we proposed a novel approach for the machine learning technique for the inspection of the cracks those are existed in the solar cell and wafer and not able to detect by the naked eyes. There are many techniques have been developed by the various researchers around the world to inspect solar cells for defect. All the techniques discussed in this article having some features and some weakness too. This paper present here gives the two-fold solution …

Optimizing Biofuel Production In Nigeria: Evaluating Wood Species For Efficient Briquettes Using Polyvinyl Alcohol, Omogbolade L. Adepitan, Bukola M. Adeyemi-Ekeolu

Al-Bahir

Improving biofuel production in countries like Nigeria is important to the development and sustainability of the energy sector in the country. With the growing population in the country, the demand for energy will increase, and conversely, the threat to climate and ecosystems will increase. To cushion this effect, attention needs to be shifted to farm wastes as a sustainable option for energy production. Briquette production has been at the focal point of researchers for many years. This study explores 12 different wood species commonly found around Nigeria with starch and polyvinyl alcohol (PVA) as binding agents. Briquettes from these wood …

The Importance Of Rural Health Education, Annie Derthick, Kalli Varaklis

Journal of Maine Medical Center

No abstract provided.

Eng 1001g-015 College Composition I Critical Reading & Source Based Writing, Simon Adu

Fall 2024

No abstract provided.

Enhancing Citizen Capacity Through Optimising Village-Owned Enterprises (Bumdes) Role In Strengthening Community Participation For Sustainable Development, Supandi Supandi, Saliman Saliman

Jurnal Civics: Media Kajian Kewarganegaraan

Sustainable development at the local level necessitates active community participation, bolstered by educational innovation and the optimisation of empowering institutions such as Village-Owned Enterprises (BUMDes). This research investigates the impact of the Social Studies Outdoor Laboratory and BUMDes on development in the Bokoharjo, Prambanan, Sleman Regency. Specifically, the study examines three key areas: (1) the influence of the Social Studies Outdoor Laboratory on development, (2) the role of BUMDes in facilitating development, and (3) the collaborative effect between the Social Studies Outdoor Laboratory and BUMDes on regional growth. A quantitative approach was employed, sampling nine individuals from Bokoharjo Village from …

Met 303-102: Applied Thermodynamics, Ali Rohafza

School of Applied Engineering and Technology Syllabi

No abstract provided.

Influence Of Process Parameter And Build Rate Variations On Defect Formation In Laser Powder Bed Fusion Ss316l, Tasrif Ul Anwar, Patrick Merighe, Rahul Reddy Kancharla, Boopathy Kombaiah, Nadia Kouraytem

Mechanical and Aerospace Engineering Student Publications and Presentations

Laser powder bed fusion (LPBF) is an additive manufacturing process that has gained interest for its material fabrication due to multiple advantages, such as the ability to print parts with small feature sizes, good mechanical properties, reduced material waste, etc. However, variations in the key process parameters in LPBF may result in the instantiation of porosity defects and variation in build rate. Particularly, volumetric energy density (VED) is a variable that encapsulates a number of those parameters and represents the amount of energy input from the laser source to the feedstock. VED has been traditionally used to inform the quality …

Landslide Susceptibility Assessment Of The Wanzhou District: Merging Landslide Susceptibility Modelling (Lsm) With Insar-Derived Ground Deformation Map, Chao Zhou, Lulu Gan, Ying Cao, Yue Wang, Samuele Segoni, Xuguo Shi, Mahdi Motagh, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

The prevalent catalog-based Landslide Susceptibility Modelling (LSM) operates under the assumption that future landslide occurrences mirror past and current patterns. Due to growing urban expansion and climate change, certain landslides follow new patterns of occurrence, disrupting the foundational assumption of catalog-based LSM and leading to constraints in the effectiveness of traditional susceptibility maps. Here, to address this problem, we proposed a method to produce more accurate and dynamic landslide susceptibility maps by coupling advanced Ensemble Machine Learning (EML) and Multi-Temporal Interferometric SAR (MT-InSAR). The Wanzhou District in Three Gorges Reservoir area of China is considered as the test site. The …

Automatic Genetic Phenotype Normalization From Dysmorphology Physical Examinations: An Overview Of The Biocreative Viii-Task 3 Competition, Sarah F Schmidt, Karen O'Connor, Ekin Soysal, Kirk Roberts, Jiewei Qi, Ling Luo, Zhihao Yang, Hongfei Lin, Hajung Kim, Chanhwi Kim, Jiwoong Sohn, Tim Beck, Marek Rei, Sunkyu Kim, T Ian Simpson, Joram M Posma, Antoine Lain, Mujeen Sung, Jaewoo Kang, Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic, Ying-Jia Lin, Zhi-Quan Feng, Hung-Yu Kao, Ian M Campbell, Graciela Gonzalez-Hernandez

Faculty, Staff and Student Publications

We present here an overview of the BioCreative VIII Task 3 competition, which called for the development of state-of-the-art approaches to automatic normalization of observations noted by physicians in dysmorphology physical examinations to the Human Phenotype Ontology (HPO). We made available for the task 3136 deidentified and manually annotated observations extracted from electronic health records of 1652 paediatric patients at the Children’s Hospital of Philadelphia. This task is challenging due to the discontinuous, overlapping, and descriptive mentions of the observations corresponding to HPO terms, severely limiting the performance of straightforward strict matching approaches. Ultimately, an effective automated solution to the …

Introduction: From Broken Systems Towards Extended Possibilities Of Xr Technologies, Misha Myers, Victoria Duckett, Katy Morrison, Lienors Torre

School of Art, Design and Architecture

The ‘Extending Realities’ Special Issue originated out of the desire to open discussion between industry and academia around the status of extended reality (XR) in Australia today. Our intention is to generate a dialogue that is community-focused, speculative and reflective, engages a range of communities, and is both forward-moving and backwards-turning. Because of this, we explore critical language and perspectives that are emerging around XR so that we might mark a provisional location point, or at least a record of where some of us think we are–both within the XR community of makers, and within academic communities of scholars and …

Prediction-Powered Inference For Clinical Trials, Pierre-Emmanuel Poulet, Maylis Tran, Sophie Tezenas Du Montcel, Bruno Dubois, Stanley Durrleman, Bruno M. Jedynak

Mathematics and Statistics Faculty Publications and Presentations

Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates. The proposed method would empower clinical trials by providing untreated digital twins of the treated patients while remaining statistically valid. The potential implications of this new estimator of the treatment effect in a two-arm randomized clinical trial (RCT) are manifold. First, it leads …

Differences In Risk Appraisal And Neural Activity In Adolescents With A History Of Misconduct, Elizabeth S Escalante, Jessica S Flannery, Michael T Perino, Eva H Telzer

2020-Current year OA Pubs

While much of the prior work examining the behavioural and neural mechanisms of adolescent risk taking has focused on community samples, less is known about whether these mechanisms apply to adolescents engaging in high levels of risky behaviour. The current study examines behavioural and neural differences between adolescents with (N = 24) and without (N = 35) a history of misconduct using a risk perception questionnaire and risk-taking fMRI task. Adolescents with a history of misconduct perceived fewer negative consequences of risk relative to positive consequences and exhibited altered neural tracking of risk and reward in the nucleus accumbens. Specifically, …

Spatiotemporal Impact Analysis Of Land Surface Temperature Variations: A Case Study Of The Northeastern Part Of Baghdad Province, Iraq (2000-2024), Basheer S. Jasim

Al-Bahir

Land Surface Temperature maps are handy tools in a wide variety of scientific and practical fields. Monitoring climate change, researching the consequences of global warming, and evaluating the health of ecosystems are some of the applications that are used extensively. In addition, they have uses in agriculture, such as determining the amount of water that vegetation needs and monitoring agricultural regions that are experiencing drought. This study utilized a remote sensing approach to estimate land surface temperature with Landsat imagery from two periods, respectively, 2000 and 2024. The Landsat user's guide provided the algorithm to convert the images from DN …

Prevalence Of Flat Foot Among School-Age Girls And Its Relationship With Body Mass Index And Activity Level, Hisham Mohamed Hussein, Ehab Kamel, Walid Mohamed Kamel, Ibrahim Metwally Dewir, Ahmed Abdelmoniem Ibrahim

Internet Journal of Allied Health Sciences and Practice

Background: The foot and ankle are important structures in the skeletal system of the human body. Deviation in normal structure of the foot,such as in flat foot deformity, can lead to many health problems. Our study aimed to explore the prevalence of flexible flat foot (FFF) among school-age female students in the Ha’il region, Saudi Arabia, and to assess the association between the body mass index (BMI), activity level, and FFF in the selected samples. Materials and Methods: This cross-sectional study included 543 female students between 7 and 12 years of age. Data regarding age, height, weight, level …

Relationship Between Gross Motor Function And Quality Of Life In Children With Unilateral And Bilateral Cerebral Palsy, Ünal Değer, Akmer Mutlu

Internet Journal of Allied Health Sciences and Practice

ABSTRACT

Purpose: It is known that quality of life (QoL) is negatively affected in children with cerebral palsy (CP). This study investigated the correlation between gross motor function and QoL in children with unilateral and bilateral CP at levels I and II according to the Gross Motor Classification System. Methods: Fourty individuals with CP, ages between 8-18 years, were included in this study. The Gross Motor Function Measure (GMFM) was used to evaluate the children’s gross motor functions, and the Gross Motor Function Classification System (GMFCS) was used to determine levels. QoL was evaluated with the Quality of Life …

Mantra Meditation For Chronically Impaired Attention After Stroke: A Trial Using Single-Case Experimental Design, Cheryl Carrico, Dana Howell, John A. Patterson, Richard D. Andreatta, Camille Skubik-Peplaski

Internet Journal of Allied Health Sciences and Practice

Purpose: Impaired attention after stroke is a common problem for which rehabilitation would potentially be indicated. Systematic review evidence has revealed a lack of high-quality research that supports the effectiveness of standard-of-care cognitive rehabilitation for sustained attention, alertness, and functional impact on daily life after stroke. Standard-of-care cognitive rehabilitation does not include meditation. Meditation has been defined in contemporary scientific literature as a regime entailing voluntary self-regulation of attention. As such, meditation could potentially improve attention in keeping with tenets of neuroplasticity. The present study investigated whether mantra meditation would benefit attention for adults with chronically impaired attention after right-hemisphere …