Digital Commons Network^™

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 …

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 …

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 …

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.

Probability Cueing In Large-Scale Environmental Search: The Role Of Landmark Cues In Statistical Learning, Shaun Dordoy, Rory Baxter, Alastair Smith

School of Psychology

Efficient environmental search is an important and adaptive everyday skill. A particular feature of theoretical interest is whether large-scale search is informed by the spatial statistics of the environment - probability cueing is a robust effect in two-dimensional visual search tasks, but studies of large-scale search have generated equivocal findings. Here, we examined whether sensitivity to a statistical cue specified within an allocentric reference frame is modulated by the presence and location of environmental landmarks. Participants explored fully immersive virtual environments, wherein they were presented with an array of locations (columns) and required to search them for a hidden target …

Exploring The Experience Of Co-Designing Mental Health Services In The National Health Service As An Expert By Experience, Annabelle Mccall, Peta Temple, River Rose, Pete Keohane, Lealah Hewitt-Johns

School of Psychology

PurposeThe number of Experts by Experience (EbE) working in mental health services has grown in recent years. The National Health Service (NHS) five-year plan states EbE should be used across different levels, including service delivery, design and commissioning. While current research explores the role of EbE in service delivery, little is known about their experiences of co-designing services. This study aims to explore EbE experiences of co-designing NHS mental health services.Design/methodology/approachThis research used qualitative semi-structured interviews with ten participants who had worked on projects focused on co-designing NHS mental health services as an EbE. Data were analysed using reflexive thematic …

Masthead, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

Fda's New Approval Plan For Covid-19 Vaccines: An Inquiry Of "Benefit" Rather Than The Statutory Scope Of "Safety, Purity, And Potency"?, Henry Yat-Shing Kwan

Journal of Law and Health

This article analyzes the FDA's proposed policy plan issued in May 2025 regarding the approval of Covid-19 boosters for different groups of persons. It offers two constructive recommendations that will help prevent constitutionality challenge on impermissible intrusion of the freedom of health.

The first is to avoid using the confusing term "benefit" but instead focus on the statutory parameters of "safety, purity, and potency." The affected group can make a strong case that their free choice of vaccination should not be deprived, as long as the vaccine qualifies for the statutory thresholds of being safe, pure, and potent. They are …

Ai Derivation And Exploration Of Antibiotic Class Spaces, Adam Bess, Sean Rowland, Chris Alvin, Supratik Mukhopadhyay

Open Access Fund Publications

Purpose The rapid evolution of antibiotic-resistant bacteria poses an urgent global health crisis. A key gap in current antibiotic discovery approaches is the absence of automated chemical synthesis methods designed to systematically generate and evaluate compounds within specific antibiotic classes. We address this gap through fragment-based computational experiments that systematically explore antibiotic chemical spaces.

Methods Our computational methodology consists of three steps: fragmentation of known compounds (eMolFrag), generating new molecular structures by recombining fragments (eSynth), and filtering of candidates based on desired properties (eFilter). eFilter combines structural analysis, pathway information, and protein targets …

Clinicopathological Features Of Colorectal Cancer In Young Patients In Comparison With Older Patients, Bahaa Al-Neama, Wasam Al-Asadi

Iraqi National Journal of Medicine

Background:  Colorectal cancer (CRC) has traditionally been considered a disease of older adults; however, recent evidence shows an increasing incidence among younger patients. Understanding the differences in clinicopathological features between young and older individuals is essential for improving early diagnosis, treatment strategies, and outcomes. Aim: The primary objective of this study is to compare the demographic profiles and clinicopathological characteristics of younger patients (aged <40 years) with those of older patients (aged ≥40 years) diagnosed with colorectal cancer. Methods: Eighty-five consecutive patients admitted to our hospital were prospectively followed for their entire hospital stay or up to 7 days, whichever came first. Each patient's blood glucose measurement was recorded according to ward protocol. Indices included total blood glucose per ward, per patient-day, or patient stay, and percentage blood glucose levels per predefined cut points to assess the incidence of hypo-, eu-, and hyperglycemia. The trial registration number at Clinicaltrials.org is NCT04800861. Results: Total data consisted of 645 blood glucose tests from 85 patients and 284 patient-day results, with an average of 2.27 tests per patient-day and 7.59 measurements per patient stay. The percentage of blood glucose in the range (80–180 mg/dL) varied by model, with patient-day showing the highest results at 48.24%, while the percentage of patients with hypoglycemia (blood glucose <60 mg/dL) was highest per patient stay at 1.18%. Conclusions: Younger colorectal cancer patients in this study presented more frequently with rectal tumors, poor differentiation, and advanced disease stages. Despite similar symptom profiles, delayed diagnosis may contribute to worse pathological features. These findings support the need for greater awareness and consideration of earlier screening in younger populations.

Do Upside-Down Jellyfish Influence Marine Macrofauna Assemblages?, Juleika Y. Vega Pérez, Natalia B. Lopez-Figueroa, Sebastian Digeronimo, Michael J. Schram, Milton Muñoz Hincapie, Elizabeth Stoner, Pamela Hallock

Making Waves REU

• Estuaries are essential ecosystems for many organisms as they serve as spawning areas and nurseries
• Macrofauna are crucial members of estuarine ecosystems
• Many estuary macrofauna are considered of commercial importance
• Jellyfish blooms can alter nutrient cycling and modify habitat
• Little is known about how other macrofauna respond to Cassiopea blooms
• This study documents composition and diversity of macrofauna associated with Cassiopea blooms in Jobos Bay, Puerto Rico

Distribution System Reliability Evaluation Considering Protection Coordination Using Petri Nets, Rani Kumari, Bhukya Krishna Naick

Turkish Journal of Electrical Engineering and Computer Sciences

Maintaining reliable and high-quality power delivery becomes increasingly complex with expanding power grids. The lack of protection coordination poses a significant threat, compromising overall system reliability. This research addresses this challenge by proposing a method for coordinating protective devices within the distribution system, specifically during network faults. The proposed approach utilizes a stochastic timed Petri net (STPN) based methodology to model protective device coordination across various fault scenarios. This technique effectively captures the dynamic behavior and interactions of protective equipment, allowing for the anticipation of potential disturbances. This proactive insight facilitates preventative measures to address prewarning situations, thereby preventing cascading …

A Programmable Genetic Platform For Engineering Noninvasive Biosensors, Asish N Chacko, Kaamini M Dhanabalan, Jinyang Wan, Roy Chien, Nolan T Anderson, Binzhi Xu, Katie Pham, Ritu Tiwari, Arnab Mukherjee

Faculty, Staff and Student Publications

Creating genetic sensors for noninvasive visualization of biological activities in optically opaque tissues holds immense potential for basic research and the development of genetic and cell-based therapies. Magnetic resonance imaging (MRI) stands out among deep tissue imaging methods for its ability to generate high-resolution images without ionizing radiation. However, the adoption of MRI as a mainstream biomolecular technology has been hindered by the lack of adaptable methods to link molecular events with genetically encodable contrast. Here, we introduce modular aquaporin-based protease-activatable probes for enhanced reporting (MAPPER), a platform for the systematic creation of genetic sensors for MRI. To develop MAPPER, …

Ai-Enabled Decision-Support Systems In The Joint Targeting Cycle: Legal Challenges, Risks, And The Human(E) Dimension, Jessica Dorsey, Marta Bo

International Law Studies

Israel’s military campaign in Gaza as well as ongoing conflicts in Ukraine, Yemen, Iraq, and Syria include the reported military use of AI-enabled decision-support systems (AI-DSS) within the joint targeting cycle (JTC). These tools use AI techniques to collect and analyze data, provide information about the operational environment, and make actionable recommendations with the aim of aiding military decision-makers in evaluating factors relevant to legal compliance, such as taking precautions and ensuring proportionality in attacks. These systems are often touted as being simply a human aid and, as such, have flown largely under the radar regarding regulation as they are …

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.

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 …