Digital Commons Network^™

Does Choice Of Media Amplify Support For Political Violence?, Nathan Palomares

Political Science Student Papers and Posters

Acts of political violence have increased in frequency and exposure to American society via news media. Violent rhetoric is a common theme among many forms of media Americans consume, including social media, which has become an essential platform where Americans increasingly get political news information. The events of the January 6 Capitol Riots and the attempted assassination of President Donald Trump in late 2024 show how urgent the rise of political violence is and its destabilization of American Democracy. In this paper, I examine the relationship between the types of news media people consume and their potential to increase people’s …

Creative Readers: Arts Programming For Special Needs Inclusion At The Public Library, Elise May

Journal of the Arts and Special Education

Creative Readers, an arts & literacy inclusion program and winner of the 2017 National Arts and Humanities Youth Program Award, turns books into a multi-sensory experience for K- 6^th grade students offering all learners the ability to be challenged, motivated and successful. Using theater, art, movement and music each lesson enables participants to bring a book to life, increasing their love of literature while exploring their strength of expression through the arts. The program also offers a space for unique learners of all abilities, to socialize and work together creatively. High school volunteers are paired with participants to model …

The Next Four Years: Geographical Reflections On The Second Trump Administration, Caroline R. Nagel, Peter Hopkins

Faculty Publications

In this introductory essay, we reflect on the significance of the re-election of Donald Trump to the presidency in the United States, and we provide some context for interpreting Trump's second term. Two of Trump's early policy moves—the release of billions of gallons of water from reservoirs in California and the granting of refugee status to Afrikaners—portend four years of politics based on alternative facts, conspiracy theories, and racial grievances. Trump's political agenda has received a significant boost from Silicon Valley billionaires, who are keen to eliminate regulatory bureaucracy. Paradoxically, while allied with high-tech futurists, Trump's policies hearken to an …

Case Study & Lessons Learned: Creation And Pilot Of A Regional Small Business Accelerator And Cybersecurity Assessment Program, Stanley Mierzwa, Randall D. Pinkett, Willie Mae Veasey, Debra Price

Center for Cybersecurity

Startup companies and originated small businesses are an essential aspect of our nation’s economy, contributing to many organizations that aim, in some cases, to become larger enterprises. As a small business is in the mode of sustaining and growth, minimizing cybersecurity and business resilience threats may not be front and center on the minds of these entities. This paper will provide a case study background about a project and effort – the New Jersey Cybersecurity Regional Cluster (NJCRC) - that has contributed significant outreach to New Jersey small businesses to provide free cybersecurity risk assessments to help small businesses prepare …

Racial Disparities In Crime-Based Removal Proceedings, Emily Ryo, Ian Peacock, Weston Ley, Christopher Levesque

Minnesota Law Review Vols. 106:2 onward (2021-present)

Whether and to what extent racial minorities experience harsher treatment or face worse outcomes in court are questions of fundamental importance for any justice system. Questions of racial inequality are especially salient in the context of removal proceedings that are triggered by immigrants’ criminal history. Many individuals in crime-based removal proceedings are immigrants of color who face a host of legal disadvantages that are tantamount to double penalties for the same crime for which they have already been punished through the criminal justice system. This Article offers, for the first time, systematic empirical analyses of crime-based removal proceedings decided between …

Toward A Dynamic View Of Corporate Purpose, Dorothy Lund

Minnesota Law Review Vols. 106:2 onward (2021-present)

Scholars debating the corporation’s role in society generally advance the view that there is only one desirable orientation for corporations and their management. Specifically, proponents of a stakeholder governance model contend that focusing management on a broad set of corporate constituents maximizes overall welfare, while advocates of a shareholder-centric directive counter that prioritizing shareholders creates social welfare by rendering the firm most profitable. This Article offers another view: It suggests that the welfare-maximizing purpose for corporations could change depending on external economic conditions, which both of these positions assume away. Specifically, shareholder primacy is likely to promote welfare in a …

Against Attorney General Self-Referral In Immigration Law, Stella Burch Elias, Paul Gowder

Minnesota Law Review Vols. 106:2 onward (2021-present)

This Article advances a rule-of-law-based critique of the Attorney General’s immigration self-referral power. We argue that the Attorney General’s self-referral and review power over pending immigration proceedings allows an appointed Executive Branch official to engage in unchecked and unilateral lawmaking and, therefore, should be abolished. Scholars have typically understood legal stability, prospectivity, and the separation of policymaking from adjudication as requirements of the Anglo-American rule of law regime which protect individual freedom and equality. It is traditionally believed that by limiting policy-driven legislation to prospective, general laws which are enacted through an explicitly legislative process, individuals may be secure against …

Discovery Of Drug Transporter Inhibitors Tied To Long Noncoding Rna In Resistant Cancer Cells; A Computational Model -In Silico- Study, Mohanad Diab, Amel Hamdi, Feras Al-Obeidat, Wael Hafez, Ivan Cherrez-Ojeda, Muneir Gador, Gowhar Rashid, Sana F. Elkhazin, Mahmad Anwar Ibrahim, Tarek Farag Ismail, Samar Sami Alkafaas

All Works

Chemotherapeutic resistance is a major obstacle to chemotherapeutic failure. Cancer cell resistance involves several mechanisms, including epithelial-to-mesenchymal transition (EMT), signaling pathway bypass, drug efflux activation, and impairment of drug entry. P-glycoproteins (P-gp) are an efflux transporter that pumps chemotherapeutic drugs out of cancer cells, resulting in chemotherapeutic resistance. Several types of long noncoding RNA (lncRNAs) have been identified in resistant cancer cells, including ODRUL, MALAT1, and ANRIL. The high expression level of ODRUL is related to the induction of ATP-binding cassette (ABC) gene expression, resulting in the emergence of doxorubicin resistance in osteosarcoma. lncRNAs are observed to be regulators of …

Volume 123, Number 2 - Sunday, May 25th, 2025, Saint Mary's College Of California

The Collegian

No abstract provided.

Coos County Advisory Council Meeting Minutes, William Hastings, Heidi Barker

Advisory Council

No abstract provided.

Cone Beam Ct Dose Optimisation: A Review And Expert Consensus By The 2022 Estro Physics Workshop Igrt Working Group, Lydia J. Wilson, Andria Hadjipanteli, Daniella E. Østergaard, Evelien Bogaert, Kirstie F. Brown, Rianne Dejong, James Earley, Magali Edouard, Marina Khan, Josh Lindsay, Jessica Van Der Himst, George X. Ding, Tim Wood, Marianne C. Aznar, Nuria Jornet, Georgios Ntentas

Department of Radiation Oncology Faculty Papers

Image guided radiotherapy (IGRT) using kilovoltage cone-beam CT (CBCT) has become an indispensable tool to ensure the geometric accuracy of radiotherapy treatment delivery. Although significant technical advances have been made in reducing imaging dose, the repeated imaging procedures can still accumulate significant dose to healthy tissues. Despite the widespread use, we still lack clear guidance for optimisation and widely accepted frameworks for evaluating the quality and suitability of CBCT imaging protocols. To address this gap, the 2022 European Society for Radiotherapy and Oncology (ESTRO) Physics Workshop focused on image-quality and imaging-dose optimisation for IGRT using CBCT. This publication represents a …

Low Cd25 In Alk+ Anaplastic Large Cell Lymphoma Is Associated With Older Age, Thrombocytopenia, And Increased Expression Of Surface Cd3 And Cd8, Shuyu E, L Jeffrey Medeiros, Hong Fang, Shaoying Li, Guilin Tang, Sa A Wang, Wei Wang, C Cameron Yin, M James You, Swaminathan P Iyer, Luis Malpica, Lianqun Qiu, Zhenya Tang, Qing Wei, Pei Lin, Jie Xu

Faculty, Staff and Student Publications

Background/objectives: Anaplastic lymphoma kinase (ALK)-positive (+) anaplastic large cell lymphoma (ALCL) is known to express CD25, but its significance has not been well studied.

Methods: In the present study, we identified 54 ALK+ ALCL patients with CD25 results available and investigated the significance of CD25 expression levels.

Results: Forty-two (78%) cases had high CD25 expressions, whereas low CD25 expressions were found in 12 (22%) cases. Compared with ALK+ ALCL patients with CD25-high neoplasms, patients with CD25-low neoplasms were older (median: 40 years vs. 29 years, p = 0.01) and more often had thrombocytopenia (40% vs. 0%, p = 0.02). Between …

Prevention Of And Response To International Crimes Against And Affecting Children, Diane Marie Amann

Scholarly Works

This submission endeavoured to aid the efforts of Parliament’s Standing Group on Atrocity Crimes to promote within the United Kingdom a comprehensive framework regarding international crimes. The submission stressed that prevention is the preferred course: ex ante prevention avoids present harms, inter-generational traumas, and future risks of retaliatory violence, while ex post responses, in the form of criminal proceedings, are likely to be random and selective, not comprehensive. It urged that when harm does occur, responses must aim not only to exact retribution, but also to repair injuries, heal societies, and foster peaceful settlements of disputes. To these ends, the …

No Escape From Microplastics: Contamination Of Reef Manta Ray Feeding Areas In A Remote, Protected Archipelago, Jessica Savage, Joanna Harris, Heather J. Koldewey, Tom B. Letessier, M Rowcliffe, D Morritt

School of Biological and Marine Sciences

Remote islands receive plastic debris from elsewhere, ranging from microplastics (>5 mm) to macroplastics, which can further breakdown into microplastics. The ingestion of microplastics by marine species has been linked to decreased fitness. Reef manta rays, Mobula alfredi, are liable to ingest microplastics due to their filter-feeding strategy and habitat overlap with plastic hotspots. Their population is in decline due to unsustainable fishing pressures and a slow life history, with potential additional demographic pressure from plastic pollution. This study investigates the concentration and characteristics of microplastics in the top 0.5 m of the water column in reef manta rays …

Mpox 2022 To 2025 Update: A Comprehensive Review On Its Complications, Transmission, Diagnosis, And Treatment, Rajesh Yadav, Anis Ahmad Chaudhary, Ujjwal Srivastava, Saurabh Gupta, Sarvesh Rustagi, Hassan Ahmed Rudayni, Vivek Kashyap, Sanjay Kumar

School of Medicine Publications

Monkeypox virus (Mpox virus) is a zoonotic orthopoxvirus that has gained increased global attention due to recent outbreaks. The current review reports the latest update of Mpox cases from 25 February 2022 to 29 April 2025. It also evaluates the possible major complications in human life caused by Mpox. In early 2022, more than 40 countries reported Mpox outbreaks. As of 12 June 2024, the global case count for the 2022–2023 Mpox outbreak was 97,281 confirmed cases, in 118 countries. The World Health Organization (WHO) declared the Mpox virus, a zoonotic disease, a public health emergency of international concern (PHEIC) …

The Cgas/Sting Pathway: Friend Or Foe In Regulating Cardiomyopathy, Weiyue Wang, Yuanxu Gao, Hyun Kyoung Lee, Albert Cheung-Hoi Yu, Markus Kipp, Hannes Kaddatz, Jiangshan Zhan

Duncan NRI Faculty and Staff Publications

Inflammation is a central hallmark of cardiomyopathy, where misdirected immune responses contribute to chronic myocardial dysfunction. Among the emerging molecular mechanisms implicated in this process, the cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) signaling pathway has garnered increasing attention. Acting as a key cytosolic DNA sensor, the cGAS/STING pathway orchestrates inflammatory responses triggered by microbial infections or endogenous cellular stressors such as autophagy and apoptosis. Despite its pivotal role, the precise molecular mechanisms regulating this pathway and its role in cardiomyopathy-associated inflammation remain poorly understood and subject to ongoing debate. To address this scientific gap, we first reviewed key …

Denise L. Sella`

African American Funeral Programs

Denise_L_Stella.pdf - Funeral program for Denise Sella

The Tax Adviser, Volume 14, Number 12, December 1983, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Transfers Of Interests In Public Limited Partnerships And The Collapsible Partnership Rules: A Planning Pitfail, Michael H. Hoeflich

Tax Adviser

No abstract provided.

Controversies Surrounding The Self-Employment Tax, Kathy Mackin, Thomas M. Porcano

Tax Adviser

No abstract provided.

Retracted: A Group Decision-Making For Selecting Multi-Deep Face Recognition Models, Abdulbasit Alazzawi, Qahtan M. Yas, Burhan Albayati

Iraqi Journal for Computer Science and Mathematics

Deep face recognition is a significant area of biometric authentication that addresses challenges such as low resolution, varying facial expressions, and inconsistent lighting. This paper presents a robust deep-learning approach to tackle these challenges. The study aims to employ multi-criteria decision-making techniques and verify the influence of individual and group expert opinions in decision-making. However, balancing criteria such as accuracy, sensitivity, specificity, precision, and recall remain challenging across different models. To fill this gap, the study utilized a decision-support framework that included the fuzzy analytical hierarchical process to set criteria weights based on expert input and the Technique for Order …

Ecg-Based Biometric Key Generation Using Principal Component Analysis And Machine Learning, Ahmad Abadleh

Iraqi Journal for Computer Science and Mathematics

Biometric authentication techniques are fast becoming imperative methods for secure identifications in a wide range of applications, while most of the traditional systems are easily spoofed or forged. In this paper a new approach of deriving a unique biometric key from an electrocardiogram signal is presented owing to physiological uniqueness of heart activity. In this respect, by focusing on RR intervals extracted from ECG signals, the PCA is applied in order to reduce its dimensionality and then form a compact and distinctive biometric key. Thereafter, a Random Forest classifier was used in evaluating the effectiveness of features, where a high …

Retracted: Robust Security System: A Novel Facial Recognition Optimization Using Coronavirus-Inspired Algorithm And Machine Learning, Saif Mohanad Kadhim, Johnny Koh Siaw Paw, Yaw Chong Tak, Shahad Thamear Abd Al-Latief

Iraqi Journal for Computer Science and Mathematics

Facial recognition has become an invaluable and rapidly advancing technology that plays a crucial role in various daily applications. From identity authentication to video surveillance, mobile payment, and even law enforcement and security measures. Despite the remarkable progress, facial recognition is still a dynamic research field and confronts several challenges. One of the main challenges is the high variability in facial images due to factors like facial expressions, lighting conditions, aging, and the presence of accessories. Additionally, the computational complexity and the time concerns surrounding face recognition systems have raised considerations that need to be addressed. This research presents a …

Retracted: Accurate Electrocardiogram Classification Of Heart Disease Using Deep Learning Network, Hadeel M. Saleh, Sahar Hamad Ahmed, Akeel Sh. Mahmoud

Iraqi Journal for Computer Science and Mathematics

Long short-term memory networks can effectively process complex temporal patterns in electrocardiogram data. These sequential models excel at classifying heart disease from the rich signals captured by electrocardiograms. However, traditional algorithms struggle with the intricate waveforms encoded in each heartbeat. Deeper architectures such as LSTM are better equipped to untangle the subtle variations between healthy sinus rhythms and lethal arrhythmias. In this study, an LSTM model was developed to diagnose disease from the PTB dataset. The network was trained using a fusion of deep learning schemes for sequential data. The model underwent several evaluations, from a confusion matrix mapping predictions …

Retracted: Intrusion Detection System For Iot Based On Modified Random Forest Algorithm, Omar Z. Akif, Sura Mazin Ali, Ann F. Sabih, Ahmed T. Sadiq, S. K. Subramaniam

Iraqi Journal for Computer Science and Mathematics

An intrusion detection system (IDS) is key to having a comprehensive cybersecurity solution against any attack, and artificial intelligence techniques have been combined with all the features of the IoT to improve security. In response to this, in this research, an IDS technique driven by a modified random forest algorithm has been formulated to improve the system for IoT. To this end, the target is made as one-hot encoding, bootstrapping with less redundancy, adding a hybrid features selection method into the random forest algorithm, and modifying the ranking stage in the random forest algorithm. Furthermore, three datasets have been used …

Retracted: Cipher Text To Secure Li-Fi System Using Hybrid Encryption Algorithm, Mohammed M. Ahmed, Satea H. Alnajjar

Iraqi Journal for Computer Science and Mathematics

It is important to pay attention to develop our security systems, due to the increase in cyberattacks and the development of their methods and the work to develop quantum computers capable of penetrating the solution of complex equations of encryption algorithms. The need to develop protection methods has emerged in line with the development of hackers to ensure the security and safety of users' data. In this research, work was done on the modern Li-Fi technology based on comparing the values with Kim's model and a distance of more than 13 km was reached in the fresh air. This technology …

A New Class Of Endo-R.B Module And Its Relationship With Modules, Mohammed Salman Murad, Buthyna Najad Shihab

Iraqi Journal for Computer Science and Mathematics

This paper gives a definition of a new class of T-module and T-submodule called an Endo-Restricted Bounded module (submodule) written shortly by Endo-R.B. module (submodule) and present some different approaches to connect this class of module with other types of modules such as: compressible modules, monoform modules, critically compressible modules, retractable modules, and quasi-Dedekind modules. One of the main purpose of this work is to introduce a few new conditions and reveal some properties and corollaries. This paper considered to be another solution or answer for Zelmanowitz’s problem. In fact, an Endo-R.B. T-module plays an important role to this problem …

“Honey, Life Is Just A Classroom:” Using Taylor Swift As A Pedagogical Tool For College Composition, Liz Thomae

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

As educators, we confront the challenge of cultivating a deeper understanding of writing in an age obsessed with utilitarianism, instant gratification, and pragmatism. Students come into our classrooms inundated with these messages of utility and often find subjects within the humanities, especially first year writing, boring and unhelpful. Especially with the rise of generative artificial intelligence (AI) use in our classrooms and society at large, we as pedagogues have our work cut out for us. I propose a pedagogical approach that bridges students' interests with essential writing skills by integrating Taylor Swift's music into the composition classroom. Swift's evolution as …

The Relationships Among Orthorexia Nervosa, Perfectionist Tendencies And Academic Achievement In Nutrition And Dietetics Students, Sophia Grace Owens

Master's Theses

Eating disorders can cause a disturbance in how the health of food is viewed (Cerniglia et al., 2017). If a person has disturbances in their eating behaviors that can cause harm to their health, but the behaviors do not fit into the criteria of a specific eating disorder, they fall into the category of a disordered eating pattern (Academy of Nutrition and Dietetics, 2018). Because of the stress the college environment can cause students, some college students may cling to anything they can control, which may be reflected in their dietary habits. Orthorexia Nervosa (ON), a disordered eating pattern, is …