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January 16, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Ud In The News Jan. 10-16, University Of Dayton

News Releases

Inside Higher Ed featured UD's Flyer Nest, which provides students with experience in launching, financing and investing in ventures. Faculty also contributed expertise to The Conversation, NPR, The National Desk and Catholic World Report.

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 …

Usa V. Victorious Minter

2026 Decisions

USDC for the Middle District of Pennsylvania

Michael West V. Kevin Matthews

2026 Decisions

USDC for the District of New Jersey

Dana Smith V. John Decker

2026 Decisions

USDC for the Middle District of Pennsylvania

Usa V. Kyle Stevens

2026 Decisions

USDC for the District of Delaware

American Board Of Internal Medicine V. Jaime Rushford

2026 Decisions

USDC for the District of New Jersey

4-H Presents Multimedia Pilot 2026, Alison Coleman

UNH Cooperative Extension

No abstract provided.

Grafton County 4-H Leaders' Association 2026 Camp Scholarship Request Form, Extension

UNH Cooperative Extension

No abstract provided.

Coastal Conservation And Blue Carbon: Willingness To Pay For Changes To Nearshore Management In Oregon, Arthur Caplan, Marcelo Pignatari, Sarah Klain, Kreg Lindberg

Browse all Datasets

This paper reports results from a discrete choice experiment conducted with Oregon residents regarding possible policy changes in spatial management of nearshore habitat. We evaluate public preferences across several policy scenarios, each characterized by varying levels of marine reserve size (bounded areas where extractive activities are prohibited), coastal jobs generated or lost, and carbon sequestration by seagrass beds, tidal marshes and kelp forests(blue carbon habitat expansion), with models estimated in both utility and willingness to pay (WTP) space. Each of these attributes across all models displays positive, monotonic marginal WTP. Scenario analysis reveals that an “optimistic” policy package (+50 % …

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 …

Grow Your Own Microgreens, Stephen Beck

All Current Publications

This fact sheet reviews the steps and materials needed to grow microgreens, such as radish, broccoli, sunflower, or pea shoots. Microgreens are fast and easy to grow and a healthy addition to your diet.

Law Schools Should Teach How To Integrate Ai Tools Into Practice, Robert A. Mackenzie, David J. Reiss

Cornell Law Faculty Publications

Now that artificial intelligence tools for lawyers are widely available, we decided to integrate them for a semester in our Entrepreneurship Clinic. We have some important takeaways for legal education in general and the transactional practice of law in particular.

First, employers and educators need to account for law students who already are using AI tools in their legal work and guide new lawyers about how to use such tools appropriately.

Second, different AI products lead to wildly different results. Just demonstrating this to law students is very valuable, as it dispels the notion that AI responses can replace their …

Cleft Feeding: Practical Tips For Pediatricians, Michael Smith, Leah Hunt, Brenda Fetter, Hannah J. Bergman

Pediatrics in Practice: A CME Podcast

Feeding infants with cleft lip and palate can be challenging. In this episode, a pediatric surgeon, occupational therapist, and speech pathologist share practical strategies for pediatricians—from pre- and post-surgery care to therapy techniques and key red flags. Learn how to guide families and collaborate effectively for the best outcomes.

Note: This episode is not awarded CME.

Click here to stream the podcast episode.

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.

Onset And Exacerbation Of Obsessive-Compulsive Disorder In The Perinatal Period, Jack Samuels, Mary Kimmel, Janice Krasnow, Rashelle Musci, Paul S Nestadt, Lauren M Osborne, Eric A Storch, Jonathan S Abramowitz, Gerald Nestadt

Faculty, Staff and Students Publications

Purpose: Obsessive-compulsive disorder (OCD) can emerge during pregnancy and the postpartum and may adversely affect mother and newborn. However, little is known about potential risk factors for the onset of OCD in the perinatal period. Therefore, we investigated the onset of diagnosed DSM-5 OCD in women followed from the second trimester of pregnancy to 6-months postpartum.

Methods: We followed 256 women from the 20-24th week of pregnancy to 6-month postpartum. Participants had psychiatric diagnostic interviews at baseline and 6-month postpartum and completed self-report instruments. We compared women with and without incident OCD on sociodemographic characteristics and clinical features.

Results: Of …

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 …