Digital Commons Network^™

Place Personality And User Behaviour: Insights From Cairo’S Streets, Sara Sabahy, Zeina Elzein, Doaa Abouelmagd

HBRC Journal

A place’s personality is beyond the sum of its characteristics. It’s how people perceive it on a human level, hoping for a better understanding and seeking connection. This study aims to understand how people connect with public spaces to enhance the quality of urban life.

A place’s personality extends beyond its physical attributes—it reflects how people emotionally perceive and connect with it. This study investigates the relationship between the perceived personality of urban streets and users’ behaviour to enhance the quality of urban life in Cairo. Focusing on Downtown Cairo and New Cairo, it addresses a gap in destination personality …

Copyright Statement, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

Table Of Contents, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

Prevalence Of Depression Among Doctors In General Hospitals Of Basrah City Center During The Covid-19 Pandemic, Riham Sabri Saleh, Amaleed Kadhum, Raya Habeeb Abdulimam

Iraqi National Journal of Medicine

Background: Depression is the most common mental disorder in community settings and a major cause of disability worldwide. In 1999, it was the fourth most common cause of disability globally, and by 2020, it is projected to become the second most common cause. Doctors, as the primary workforce in hospitals, endure significant emotional and physical stress, which may have been exacerbated by the COVID-19 pandemic. Aim: This study aimed to estimate the prevalence of depression among doctors during the COVID-19 pandemic and its risk factors. Methods: This descriptive cross-sectional study was conducted from February 1 to June 1, 2021. The …

Congenital Midline Cervical Cleft, Vitorino Dos Santos, Kin Modesto Sugai, Vitor Ruas Domingues Arruda Modesto

Iraqi National Journal of Medicine

No abstract provided.

Acute Isolated Unilateral Palatal Palsy In An Adolescent Girl: Case Report, Mueen Jawad Alabdullah, Sana Barwari

Iraqi National Journal of Medicine

Although reported in children, acquired and acute-onset isolated unilateral palatal palsy is a clinically rare condition. It is typically caused by involvement of the pharyngeal branch of the vagus nerve, with presenting symptoms primarily including acute-onset hypernasal speech and ipsilateral nasal regurgitation of fluids. While the etiology is often considered idiopathic, several pathologies, such as infections, trauma, tumors, and brainstem lesions, must be excluded, as direct associations have been established in literatures. We report a case of a 13-year-old girl who developed acute-onset left sided isolated palatal palsy following mild rhinitis with non-conclusive neuroimaging and negative routine serology. Complete recovery …

Reflection Paper: What We Make Together: Art, Adolescence, And Collaborative Research In Action, Natepy Vann

Introduction to Public Health

No abstract provided.

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Exploitation Prioritization And Residual Risk Assessment Based On Hybrid Mcdm Model, Zibo Wang, Yaofang Zhang, Sicai Lv, Yingzhou Wang, Hongri Liu, Bailing Wang

Turkish Journal of Electrical Engineering and Computer Sciences

Exploitation is one of the most significant ways to launch attacks using vulnerabilities. The increasing number of vulnerabilities and limited allocation of security resources make it impossible to eliminate all exploitations. Because not every vulnerability can be fixed, it is necessary to rank exploitations and subsequently assess the residual risk, which is defined as the remaining threat potential after each elimination. In this paper, a structured and flexible decision support framework based on a hybrid multicriteria decision-making model is proposed for prioritizing exploitations and assessing residual risk. Metrics are treated as criteria in the model. The hybrid model is developed …

A Deep Learning-Based Real-Time No-Reference Image Decolorization Network With Perceptual Preservation, Mengjuan Zhao, Yitao Liang, Weiya Shi, Juan Xia

Turkish Journal of Electrical Engineering and Computer Sciences

Currently, grayscale images are preferred as input data for some specific vision tasks. Decolorization is the transformation of a color image into a grayscale image. Efficient decolorization algorithms can improve the overall task efficiency, while perceptual preservation in decolorization can provide more information for further processing. In recent research, traditional methods focus on preserving contrast or detail information with little attention to perceptual features. Deep-learning methods are beginning to consider perceptual preservation, but they run inefficiently. In addition, the decolorization methods lack the optimal target grayscale images for reference. Therefore, we propose a new deep learning-based real-time no-reference decolorization network …

Noninvasive Condition Monitoring For Eccentricity Fault Detection In Large Hydro Generators, Atena Tazikeh Lemeski, Di̇dem Tekgün, Ozan Keysan, Kemal Leblebi̇ci̇oğlu, Murat Göl

Turkish Journal of Electrical Engineering and Computer Sciences

Eccentricity faults in electric machines remain a critical concern, as they generate uneven magnetic forces that increase vibration and noise, ultimately raising the risk of premature motor failure. This study proposes a method for the early detection of dynamic eccentricity (DE) faults in hydropower plants through an advanced optimization-based parameter identification technique integrated with finite element analysis (FEA). Finite element modeling (FEM) is first used to analyze an existing salient-pole synchronous generator (SPSG) from a hydroelectric power plant in Türkiye. The effects of DE faults on the SPSG’s magnetic equivalent circuit parameters are then examined under various fault severities. A …

A Deep Learning Model For Accurate Tomato Leaf Disease Identification, Maheen Shahzad, Muhammad Abdullah Javed, Erum Ashraf, Hafiz Ishfaq Ahmad, Sabeen Masood

Turkish Journal of Electrical Engineering and Computer Sciences

Recent advances in machine learning and deep learning have greatly improved how we detect plant diseases, making diagnoses more accurate, faster, and easier to scale. However, many existing solutions depend on large, pretrained models that need powerful hardware, which limits their use in the field, especially in areas with limited resources. To tackle this, we designed a custom lightweight convolutional neural network (CNN) built from scratch using 20,000 carefully selected images from the PlantVillage tomato dataset. Our model uses Squeeze-and-Excitation (SE) blocks and Swish activation functions to boost performance, reaching an accuracy of 97.7% while using far fewer computing resources …

Influence Of Sinr And Noise Variance On Outage Probability For Mimo-Noma System In 5g And Beyond, Sadiq Ur Rehman, Jawwad Ahmed, Muhammad Zubair, Syed Sajjad Hussain Rizvi

Turkish Journal of Electrical Engineering and Computer Sciences

Nonorthogonal multiple access (NOMA) communication presents a promising solution to the limitations of traditional orthogonal multiple access techniques, offering potential improvements in achievable rates. Multiple-input multiple-output (MIMO), when combined with NOMA (MIMO-NOMA), further enhances these benefits by leveraging the diversity advantages of multiple antennas. Looking ahead, the future of wireless communication hinges on deploying heterogeneous networks (HetNets), facilitating the coexistence of various wireless access networks in a hierarchical fashion. However, the advent of 5G and 6G communications brings shorter channel coherence times, rendering channel reciprocity unreliable. Consequently, conventional channel estimation methods relying on uplink (UL) pilots for downlink (DL) transmission …

A Novel Approach To Maximum Weighted Traffic Flow Method For Effective Signal Control, Zülal Hi̇lal Yildiz Budak, Seyi̇t Alperen Çeltek, Aki̇f Durdu

Turkish Journal of Electrical Engineering and Computer Sciences

Traffic signal management is a critical challenge due to its environmental, economic, and public health impacts. The maximum weighted flow method (MaxWeightedFlow) was developed to optimize traffic flow at isolated and coordinated urban intersections. This study proposes a new method, the novel MaxWeightedFlow, which includes two key strategies to enhance the classical approach. The first strategy reduces computational burden by estimating vehicle approach times based on instantaneous speeds, improving real-time performance. The second employs regression analysis to optimize the alpha parameter, representing the vehicle waiting coefficient. The proposed approach, the novel MaxWeightedFlow, was evaluated using real-world traffic data from Kilis, …

Improving Rail System Signaling Efficiency Through Ai-Based Driving Profile Generation: A Comparative Performance Analysis, Mehmet Taci̇ddi̇n Akçay, Abdurrahi̇m Akgündoğdu

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a dataset comprising 3600 discrete operational snapshots (rather than continuous time-series data) derived from real-field operations is used to obtain a high-accuracy driving profile equation using a second-degree Polynomial Regression method. This equation demonstrates the model’s interpretability. The performance metrics obtained with the second-degree polynomial regression model’s equation are as follows: a coefficient of determination (R2) of 0.84, a Pearson Correlation Coefficient of 0.91, and an RMSE of 11.13. These results indicate the effectiveness of artificial intelligence-based approaches in improving the efficiency of the railway signaling system. The same dataset is also utilized with other machine learning …

Cold Atmospheric Plasma For Prostate Cancer Therapy—Potential For Clinical Translation, Shengxin Zhang, Janith Wanigasekara, Daniela Boehm, James F. Curtin, Paula Bourke, Tao Zhang, Gemma K. Kinsella

Research Outputs: 2025-Present

Cold atmospheric plasma (CAP) has potential as a new cancer treatment tool due to its room temperature biocompatibility and possible cancer cell selectivity with low side effects. This review examines the current research stage of CAP therapy for Prostate Cancer (PCa) treatment with a focus on CAP device standardization and CAP therapy clinical translation. The current CAP preclinical data is explored through the lens of PCa cellular response, PCa cells selectivity, CAP treatment type and CAP combination therapies. Finally, building on the current preclinical data, this review proposes the potential clinical application methods of CAP at different PCa stages to …

Extra-Axial Cerebrospinal Fluid Volumes From 6 To 24 Months Of Age Are Associated With Poorer Executive Function At School-Age In Children With And Without Autism, Yichi Zhang, Robert C Mckinstry, Natasha Marrus, John R Pruett Jr., Et Al.

2020-Current year OA Pubs

BACKGROUND: Abnormally increased extra-axial cerebrospinal fluid (EA-CSF) volume is present as early as 6 months in infants later diagnosed with autism and is associated with symptom severity at the age of diagnosis, but it is unknown whether early EA-CSF enlargement has long-term impacts on other clinical domains. Executive function (EF) deficits are frequently observed in children with autism and are linked with worse academic outcomes, higher anxiety, and lower adaptive functioning. The current study examines the association between EA-CSF volume at infancy and EF at school age in a longitudinally phenotyped cohort of children with either high (HL) or low …

Rare Heterozygous De Novo Variants In Rapgef2 Are Associated With A Neurodevelopmental Disorder, Ali H Bereshneh, Kirkland A Wilson, Xueyang Pan, Shabab B Hannan, Megan A Cooper, Jullianne Diaz, Eyby Leon, Tiana M Moses, Mahshid S Azamian, Daryl A Scott, Ping Yee Billie Au, Juan Pablo Appendino, Ingrid E Scheffer, Antony Kaspi, Melanie Bahlo, Michael S Hildebrand, Angela T Morgan, Ekanem Ekure, Joshua M Shulman, Friedhelm Hildebrandt, Jennifer E Posey, Paul Kruszka, Eric Vilain, Shinya Yamamoto, Oguz Kanca, Seth Berger, Hugo J Bellen

Duncan NRI Faculty and Staff Publications

Purpose: RAPGEF2 encodes a guanine nucleotide exchange factor (GEF) that activates small GTPases and has not been linked to a Mendelian disorder. RAPGEF2 is highly intolerant to loss-of-function variants. We report 5 de novo heterozygous variants in RAPGEF2 in unrelated individuals with developmental delay, attention deficit hyperactivity disorder, epilepsy, dysmorphic features, or other manifestations. We used a Drosophila model to assess the functional impact of the identified human variants.

Methods: We generated a Kozak-GAL4 null allele of the Drosophila ortholog of RAPGEF2, PDZ-GEF, and used the allele to determine the gene expression pattern as well as the loss-of-function phenotypes. We …

Effects Of Icosapent Ethyl On Risk And Duration Of Hospitalizations And Death In Reduce-It, Michael Szarek, Deepak L Bhatt, Michael Miller, Eliot A Brinton, Jean-Claude Tardif, Christie M Ballantyne, Steven B Ketchum, Mandeep R Mehra, Ph Gabriel Steg

Faculty, Staff and Students Publications

Aims: Among statin-treated participants with elevated triglycerides and known cardiovascular disease or with diabetes and other risk factors, icosapent ethyl reduced the risk of cardiovascular events in the REDUCE-IT study. In this post hoc analysis of REDUCE-IT, we quantified the effects of icosapent ethyl on total hospitalizations and days lost to hospitalization and death.

Methods: Randomization to treatment with 2 g twice daily of icosapent ethyl or matching placebo was performed among 8179 participants receiving statin therapy with established cardiovascular disease or age ≥50 years with diabetes and ≥1 additional risk factor, fasting triglyceride 1.69-5.63 mmol/L, and low-density lipoprotein cholesterol …

Associations Of Arsenic Exposure And Folate In Maternal Leukocyte Dna Methylation: A Case-Control Study Of Mothers With Spina-Bifida Affected Children, Amy M Inkster, Anne K Bozack, Bernardo Lemos, Tabitha Lumour-Mensah, Sudipta Kumar Mukherjee, Shekh Muhammad Ekramullah, D M Arman, Joynul Islam, Xingyan Wang, Liming Liang, Richard H Finnell, Maitreyi Mazumdar, Andres Cardenas

Faculty, Staff and Students Publications

No abstract provided.

Student Disruptions And Teacher Turnover, Kyuhan Choi, Ying Shi, Maria Zhu

Center for Policy Research

This paper examines how exposure to disruptive students affects teacher retention using linked teacher–student administrative records from North Carolina. To address non-random classroom assignment, we instrument for classroom exposure using the school-by-grade share of disruptive students based on prior-year disciplinary infractions. A 10 percentage point increase in the share of disruptive students raises the probability of an early-career teacher leaving the school in the following year by 1.0 percentage points. Notably, working in a school environment with supportive leadership and greater teacher autonomy, particularly around student conduct policies, mitigates the impact of student disruptions.

Cover, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

Patent Pending: How The Current Patent Utility Requirement Hinders Biotechnological Innovation, Madison Drlik

Journal of Law and Health

The legal system is always playing catch up to adapt to new legal landscapes, doctrines, and technology; however, patent law needs help to compete with biotechnological research in the race towards innovation. Biotechnological research in the realm of human health and medicine often involves the use of therapeutic drugs. The field of healthcare biotechnology takes biological systems and processes and generates novel, creative solutions to a number of human health conditions. However, the translation process for a new drug, therapy, or process is long and expensive which requires investors to help the researchers and scientists move their creations from inception …

Presidential Search Committee Minutes, Clemson University Board Of Trustees, 2026 January 16, Clemson University Board Of Trustees

Minutes

No abstract provided.

Evaluating The Fate And Variability Of Soil Organic Carbon And Nitrogen Species Under Conservation Practices In The Raccoon River Watershed, Zhonglong Zhang, May Wu

Civil and Environmental Engineering Faculty Publications and Presentations

This study evaluates the fate and variability of soil organic carbon (SOC) stocks and nitrogen species using the latest version of the Soil and Water Assessment Tool– Carbon (SWAT-C) and assesses how conservation practices influence their dynamics in the Raccoon River Watershed (RRW). Dominated by intensive agricultural pro- duction, the RRW is a significant contributor of sediment and nutrient loads to local rivers and the Mississippi River. This SWAT-C model simulates the export of SOC and nitrogen species and evaluates their responses under varying management scenarios. Model calibration was performed for streamflow, sediment, nitrate, total nitrogen, and organic carbon with …

Where Americans Get And Trust Political Information: Traditional Media Leads, Social Media Grows, Ai Emerges, Hwayong Shin

Weidenbaum Center Survey (WCS) Reports

Where do Americans turn for political information—and which sources do they actually trust? As traditional news organizations struggle with declining public trust (Brenan 2025; Ladd 2012), social media platforms (e.g., Facebook, Instagram, X) and artificial intelligence (AI) tools (e.g., ChatGPT, Gemini, Copilot) are increasingly stepping into the information space (Bode 2016; Podimata & Cen 2025). Yet little is known about how these sources compare in citizens’ minds. This question matters because a well-functioning democracy depends not just on the availability of information, but on which sources individuals use and trust to support informed political judgments (Lupia & McCubbins 2019; Soroka …

Optimal Murine Cd4+ T Cell Priming By Mrna-Lipid Nanoparticle Vaccines Requires Endogenous Antigen Processing, Julia E. Rood, Suh Kyung Yoon, Mary K. Heard, Stephen D. Carro, Emma J. Hedgepeth, Mary E. O'Mara, Michael J. Hogan, Nhu Le, Hiromi Muramatsu, Kieu Lam, Petra Schreiner, Coral Kasden, Hansell H. Stedman, Ryan A. Langlois, James Heyes, Norbert Pardi, Laurence C. Eisenlohr

College of Life Sciences Faculty Papers

Lipid nanoparticle (LNP)-encapsulated nucleoside-modified mRNA vaccines elicit robust CD4+ T cell responses, yet the mechanisms underlying this T cell priming remain unknown. Antigens presented to CD4+ T cells on major histocompatibility complex class II (MHC II) are traditionally acquired by antigen presenting cells (APCs) from extracellular sources. Here we show that vaccine specific CD4+ T cell responses instead rely on antigen directly expressed within APCs, without extracellular transit. Murine APCs treated with mRNA-LNP vaccines activate T cells more efficiently when presenting antigen produced internally, rather than acquired externally. Immunization with mRNA-LNP vaccines engineered to inhibit antigen expression in APCs results …

The Ethical Limits Of Physician Autonomy In Reproductive Medicine, Isabel Martens

Honors Theses

In vitro fertilization is a relatively new medical practice that helps people who face infertility be able to reproduce. Reproductive medicine providers face ethical dilemmas often in their field, only some of which have standards of care. There are questions in the medical landscape pertaining to physician autonomy versus patient autonomy, which heavily apply to reproductive medicine providers. Patient autonomy is highly valued in medical ethics; however, physician autonomy should also be considered. When a physician decides who can and cannot reproduce, ethical considerations must be followed to maintain the practice of reproductive autonomy. Limited policies exist that manage reproductive …

Elevated Trna Halves In Olfactory Epithelial Cells Of Patients With Schizophrenia, Justin T. Gumas, Megumi Shigematsu, Karin E. Borgmann-Winter, C. G. Hahn, Yohei Kirino

Computational Medicine Center Faculty Papers

Schizophrenia patients' olfactory epithelial cells contain abundant immune-activating tRNA fragments, linking small RNA biology to inflammation and suggesting avenues for diagnostics.

First Results On The Search For Lepton Number Violating Neutrinoless Double-Β Decay With The Legend-200 Experiment, H. Acharya, N. Ackermann, M. Agostini, A. Alexander, C. Andreoiu, G. R. Araujo, Frank Avignone Iii, M. Babicz, W. Bae, A. M. Bakalyarov, M. Balata, A. S. Barabash, C. J. Barton, L. Baudis, C. Bauer, E. Bernieri, L. Bezrukov, K. H. Bhimani, V. Biancaccu, E. Blalock, Et. Al.

Faculty Publications

The LEGEND Collaboration is searching for neutrinoless double-beta (0νββ) decay by operating high-purity germanium detectors enriched in ⁷⁶Ge in a low-background liquid argon environment. Building on key technological innovations from the GERmanium Detector Array (GERDA) experiment and the MAJORANA DEMONSTRATOR experiment, LEGEND-200 has performed a first 0νββ decay search based on 61.0 kg yr of data. Over half of this exposure comes from our highest performing detectors, including newly developed inverted-coaxial detectors, and is characterized by an estimated background level of 0.5^+0.3_−0.2 cts/(keV ton yr) in the 0νββ decay signal region. A combined …