Digital Commons 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 …

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 …

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.

Volume Cxlv, Number 9, January 16, 2026, Lawrence University

The Lawrentian

No abstract provided.

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 …

Institutional Practices Drive Antibiotic Variability In Neonatal Intensive Care Units: Baseline Evidence To Inform National Stewardship Interventions In Oman, Abdullah Alqayoudhi, Manoj Malviya, Sathiya Murthi, Mohammed Rasik Nv, Adil Said Al-Wahaibi, Raya Al-Habsi, Said Al-Balushi, Talal Alwardi, Agha Hatif Shamsi, Halah Bait Raidan, Aamera Al-Majrafi, Preethi Kiran, Eyad Hani Abu Abu Alhaijaa, Kawther Al Amri, Khalfan Al Abdali, Mohammed S. Al Reesi, Nasser Al-Shafouri, Amal Al-Jabri, Sachin Shah, Said Al-Kindi, Zubair H. Aghai, Mohammed Al-Yahmadi, Amal Al-Maani

Department of Pediatrics Faculty Papers

Background: Antibiotic overuse in Neonatal Intensive Care Units (NICUs) is a major contributor to antimicrobial resistance and adverse neonatal outcomes. This study aims to evaluate baseline antibiotic utilization (AU), identify factors influencing variability, and assess the impact of neonatal characteristics and sepsis incidence. Methods: A multicenter retrospective analysis examined AU in seven NICUs from 2019 to 2023, involving 25,532 neonatal admissions during national antibiotic stewardship program implementation. Data encompassed neonatal clinical parameters, sepsis incidence, and AU metrics, including days of therapy (DOT) per 1000 patient-days. Statistical analyses included correlation assessments and multivariate regression to identify determinants of antibiotic use. Results: …

Usa V. Kyle Stevens

2026 Decisions

USDC for the District of Delaware

Usa V. Jarrett Tarn

2026 Decisions

USDC for the Eastern District of Pennsylvania

Human Capital And Development, Philippe Aghion, Ingvild Almås, Costas Meghir

Cowles Foundation Discussion Papers

Human capital is central to efforts to promote growth, convergence, and the elimination of poverty. Drawing on seminal macroeconomic frameworks by Nelson-Phelps, Lucas, and subsequent developments, alongside macro and microeconomic evidence, the chapter examines the role of human capital in driving innovation and growth, emphasizing how different types of human capital matter at different stages of development, and discussing obstacles to accumulation and evidence from policy interventions.

Dana Smith V. John Decker

2026 Decisions

USDC for the Middle District of Pennsylvania

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, …

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

Iraqi National Journal of Medicine

No abstract provided.

The Effectiveness Of Respiratory Syncytial Virus Prophylaxis Programme Using Palivizumab In Preterm Infants: A Single Institute Retrospective Study, Hilal Al Mandhari, Saif Al Kendi, Noura Al-Balushi, Aqeela Bintaqi, Abdulrahman Al Saadi, Mohamed Abdellatif

Sultan Qaboos University Medical Journal

Objectives: This study aimed to evaluate the effectiveness of an established respiratory syncytial virus (RSV) prophylaxis programme by assessing RSV-related hospitalisations (RSVH) and identify associated risk factors among preterm infants born at <32 weeks’ gestation. Methods: This retrospective cohort study was conducted at Sultan Qaboos University Hospital, Muscat, Oman. Eligible participants were preterm infants <32 weeks’ gestation, born between January 2015 and December 2020, who received RSV prophylaxis. Data were extracted from electronic medical records and analysed. Results: A total of 282 infants were included. The mean gestational age was 28.56 ± 2.03 weeks and the mean birth weight was 1.23 ± 0.35 kg. A total of 5 infants (1.8%) experienced RSV-related hospitalisation while receiving palivizumab prophylaxis. Infants with RSVH were significantly more likely to be …

A Robust Deep Learning Ensemble Framework For Waterbody Detection Using High-Resolution X-Band Sar Under Data-Constrained Conditions, Soyeon Choi, Seung Hee Kim, Son V. Nghiem, Menas Kafatos, Minha Choi, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

Accurate delineation of inland waterbodies is critical for applications such as hydrological monitoring, disaster response preparedness and response, and environmental management. While optical satellite imagery is hindered by cloud cover or low-light conditions, Synthetic Aperture Radar (SAR) provides consistent surface observations regardless of weather or illumination. This study introduces a deep learning-based ensemble framework for precise inland waterbody detection using high-resolution X-band Capella SAR imagery. To improve the discrimination of water from spectrally similar non-water surfaces (e.g., roads and urban structures), an 8-channel input configuration was developed by incorporating auxiliary geospatial features such as height above nearest drainage (HAND), slope, …

Do Monetary Policy Shocks Affect Co2 Emissions? Evidence From Brazil, Luccas Assis Attílio, João Ricardo Faria, Andre V. Mollick

School of Economics and Finance Faculty Publications

This paper examines whether monetary policy shocks affect CO2 emissions over time in Brazil. We show that CO2 emissions decline persistently following contractionary monetary policy shocks. The relationship between monetary policy and CO2 emissions in Brazil is assessed through two channels: trade openness and exchange rates. The theoretical model illustrates how monetary policy affects the domestic economy through the real exchange rate. An application of a Global VAR (GVAR) to the Brazilian economy from 1996 to 2018 investigates the effects of monetary policy in Brazil (or in the U.S.) on real GDP and, subsequently, on CO2 emissions. A contractionary monetary …

Single-Cell Rna Sequencing Suggests Different Progenitor Lineages Between Idh Mutant And Idhwt Glioma, Iyad Alnahhas, Allison Kayne, Mehak Khan, Wenyin Shi

Department of Neurology Faculty Papers

Introduction Single-cell RNA sequencing has elucidated the heterogeneity in cancer. Single-cell glioblastoma (GBM) analyses have also proposed the resemblance of GBM cells to radial glia and outer radial glia (oRG) supporting the hypothesis that remnants of developmental tissue get reactivated in cancer. A recent study isolated neural progenitor cells (NPCs) from developing fetal human brain (gestational week 17-19) and classified NPCs based on their expression of THY1 (CD90), CD24 and EGFR. Ventricular radial glia are THY1⁻CD24⁻EGFR⁺ whereas oRG are THY1⁻CD24⁻EGFR⁻. Early neuron precursors are CD24⁺THY1⁻EGFR …

Proposed Methodology For Correcting Fourier-Transform Infrared Spectroscopy Field-Of-View Scene-Change Artifacts, Kody A. Wilson, Michael L. Dexter, Benjamin F. Akers, Anthony L. Franz

Faculty Publications

Fourier-transform spectrometers are widely used for spectral measurements. Changes in the field of view during measurement introduce oscillations into the measured spectra known as scene-change artifacts. Field-of-view changes also introduce uncertainty about which target the measured spectrum represents. Though scene-change artifacts are often present in dynamic data, their significance is disputed in the current literature. This work presents a theoretical framework and experimental validation for scene-change artifacts. Field-of-view changes introduce variable interferogram offsets, which standard processing techniques assume are constant. The error between the interferogram offset and its estimate is Fourier-transformed, yielding scene-change artifacts, often confused with noise, in the …

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 …

Explaining Transformer-Based Classification Of Radiology Reports, M Courtman, G Abdelhalim, L Sun, E Ifeachor, S Mullin, M Thurston

Peninsula Medical School

ObjectivesDeep learning models developed for the classification of radiological reports have lacked explainability. We aimed to validate and explain a pretrained classification model by applying it to the removal of confounding data from a radiological dataset.MethodsTwo radiologists categorized 2038 anonymized MRI head free-text radiology reports for abnormality and for small vessel disease presence. Of these reports, 80% (n = 1630) were used to fine-tune pretrained transformer models to classify scans. Five-fold cross-validation was used in model development. The models were tested on the remaining 20% of the reports (n = 408). SHapley Additive exPlanations (SHAP) were used to explain the …

The Itrail Making Test (Itmt): An Evaluation Of Novel Testing Paradigms, Hidden Indices Of Measurement, And Diagnostic Accuracy In Parkinson’S Disease, Donnchadh Murphy, Jonathan Scott, Craig Newman, Rupert Noad

Peninsula Medical School

Introduction: The Trail Making Test (TMT) is an important test when assessing for cognitive difficulties in people with Parkinson’s Disease (PD). However, the pencil-and-paper format can be susceptible to administration and scoring errors and may disproportionately reflect motor impairments rather than cognitive performance. The current study sought to evaluate the reliability and diagnostic accuracy of two novel computerized versions of the TMT: iTMT-Tap and iTMT-Drag. Method: This study used a quasi-experimental diagnostic accuracy design, and included 34 healthy controls, 28 people with Parkinson’s disease with normal cognition (PD-NC), and 31 people with Parkinson’s disease mild cognitive impairment (PD-MCI). Participants were …

Playing Across Cultures: Building Community Through International Games Month At Southern Miss Libraries, Tisha M. Zelner, Courtney Kruzan

Navigating the Future Together: Student Success Symposium

Embracing diverse voices is part of the vision of the University of Southern Mississippi (USM) Libraries, which also includes a value statement to “embrace diversity by creating a welcoming environment and providing resources representative of the diverse university populations.” The library's strategic values also include collaboration, engagement, and outreach. The library created International Games Month (IGM) programming in 2023 in support of the library’s strategic goals and invited collaboration with the university’s International Student and Scholar Services as well as individual student organizations. The library hosted events where international students coached attendees through games from their home countries. Student representatives …

Supporting Graduate Student Success: Designing An Orientation To Graduate Level Writing, Reading, And Citing Practices, Raymond Pun

Navigating the Future Together: Student Success Symposium

When new graduate students start their programs, they may be unaware of the "hidden curriculum" of graduate-level reading, writing, and citing practices. As a result, they may struggle or feel unprepared with faculty's expectations. This lightning talk highlights how an education librarian created an online asynchronous orientation focused on graduate-level reading, writing, and citing practices in collaboration with teaching faculty. Attendees will learn how a collaborative learning program can empower graduate students to develop necessary skills to succeed in graduate school, and why they may consider offering such a program for their learners.

Comity, Act Of State, And Interpretation Of Foreign Law: The Eleventh Circuit Missteps In Mcnab V. United States, Paul S. Vicary

Florida Journal of International Law

This Note will examine the conflict the Eleventh Circuit has created with other federal courts with regard to the degree of deference U.S. courts are to give to foreign countries’ interpretations of their own laws. Part II reviews the Lacey Act as well as the facts and decision in McNab v. United States. Part III reviews the act of state doctrine as well as the doctrine of international comity as the contexts for judicial deference. Part IV will analyze how courts have construed the degree of deference that is to given to other countries’ interpretations of their own laws. …

"The Technology Dog Ate My Job": The Dog-Eat-Dog World Of Offshore Labor Outsourcing, Mark B. Baker

Florida Journal of International Law

This Article specifically examines the legal implications of outsourcing, particularly in the high-technology sector. This Article will discuss the public debate on outsourcing and the relevant policy considerations in order to lay the groundwork for analysis of the legal aspects of this issue.

The inquiry at hand shall be as follows: first, recent legislation relevant to outsourcing at both the state and federal levels will be examined. Next, there will be a discussion on how far state legislators are permitted to regulate outsourcing without violating the Constitution, and the issue of implied and express preemption will also be analyzed. Next, …

Inconsistent Consistency: A Comment On Arrested Development Of The Federal Common Law Of Foreign Relations, Paul S. Ryerson

Florida Journal of International Law

No abstract provided.

My Telos: A Journal Of No Illusions, Ben Agger

Fast Capitalism

No abstract provided.

What Is Federalism?: On Piccone's Late Political Philosophy, Robert D'Amico

Fast Capitalism

No abstract provided.