Assessing The Student Awareness To Age Friendly Design: The Case Of Ain Shams University- Architecture Students, Shorouk Saleh Ali Kabel, Samah Mohamed Elsayed Atteia Elkhateb, Rowaida M. O. Mohamed Rashed, Wesam M. El-Bardisy

HBRC Journal

With Egypt’s rapid urbanization and projected demographic shift, where individuals aged 60 and above are expected to constitute more than 15% of the population by 2050, addressing the needs of older adults in urban design has become increasingly urgent. Despite global recognition of the importance of age-friendly design, its integration into Egyptian architectural education remains limited, particularly concerning accessibility, safety, and inclusivity.

This study evaluates the level of awareness of Age-Friendly Design (AFD) principles among architecture students at Ain Shams University using a mixed-methods approach. Quantitative data were collected through an online questionnaire assessing students’ familiarity with the concept, while …

Performance-Based Seismic Design And Retrofitting Via Drift And Strain Criteria, Tharwat A. Sakr, Hanaa E. Abd-El-Mottaleb, Shrouk S. Kamel

HBRC Journal

In recent decades, the demand for seismic code updates has significantly increased. Performance-based seismic design (PBSD) is a modern approach to earthquake-resistant building construction. By using this technique, the designers can establish performance targets that satisfy the owner. Most codes rely on strength design that utilizes a design response spectrum, highlighting serviceability without addressing performance levels. In this paper, an appraisal for the incorporation of PBSD into the Egyptian Code is proposed using nonlinear static and dynamic analysis. At first, response spectrum charts for 72, 475, and 2475 years return periods (RP) were developed based on the Egyptian seismicity information. …

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 …

Rme-1: A Formal Specification For Geometric Semantic Refinement, Samuel J. Church

Defensive Publications Series

RME-1: A Formal Specification for Geometric Semantic Refinement

Document ID: RME-1-2026-PRIOR-ART-01

Status: Public Disclosure for Defensive Publication

Core Methodology: Non-Euclidean Mapping of Abstract Logic to Sensory-Grounded Vectors

I. Mathematical Framework: The RME Hilbert Space

The RME-1 engine operates by projecting linguistic units into a multi-axial Hilbert Space. Unlike standard token-probability models, RME-1 enforces a Geometric Constraint (GC) on the output, defined by the relationship between four primary variables:

1. Symbolic Density ($SD$): The concentration of domain-specific semantic tokens per unit of syntax.

2. Sensory Gravity ($SG$): The coefficient of tactile or physical-structural grounding in the output string.

3. Intent …

   ---

   Go to article

Global Deep-Sea Hydrothermal Deposit Metagenomes And Metagenome-Assembled Genomes Over Time And Space, Emily St John, Anna-Louise Reysenbach

Center for Life in Extreme Environments Publications

Actively venting high temperature deep-sea hydrothermal vent deposits along tectonic spreading centers and in backarc basins harbor a rich diversity of thermophilic Bacteria and Archaea, many of which have no representatives in cultivation nor any genomic representation in databases. Here, in order to produce a global-scale time series metagenomic resource for studying the microbial functional and genomic diversity in these high temperature ecosystems, we obtained 70 metagenomes from collections across spatial and temporal gradients from 21 different vent fields spanning 16 years (1993-2009). The dataset (Deep-Sea Hydrothermal Vent dataset (DSV70)) includes 3.56 Tbp of raw DNA sequence reads, that have …

Roads To Regulation: A Discussion On Non-State Armed Groups' International Health Law Obligations, Eric Fogle

Journal of Law and Health

Non-state actors can look and operate like governments, yet without formal statehood, they exist in a regulatory gray area. Non state actors play an increasingly influential role in international law, yet they remain largely unregulated. This paper examines non-state actors as a class, with particular attention to non-State armed groups (NSAGs), and analyzes the regulatory gap they occupy specifically within international health law. The paper first surveys the rise, diversity, authority, and legitimacy of non-state actors in relation to States, highlighting their growing involvement in governance functions traditionally reserved for States. This paper then introduces the World Health Organization (WHO) …

American Board Of Internal Medicine V. Jaime Rushford

2026 Decisions

USDC for the District of New Jersey

Book Review: Alliances & Armor: Communist Diplomacy And Armored Warfare During The War In Vietnam, Gregory A. Daddis

Parameters Bookshelf – Online Book Reviews

Author: Jim Pomeroy

Reviewed by: Dr. Gregory A. Daddis, Melbern G. Glasscock Endowed Chair in American History, Texas A&M University

In Alliances & Armor, Jim Pomeroy reveals how Cold War diplomacy shaped North Vietnam’s battlefield tactics, transforming guerrilla warfare into Soviet-style armored offensives. Drawing from multi-archival sources, the book traces Hanoi’s strategic pivot from China to the USSR amid shifting global alliances and escalating US involvement. With gripping detail, Pomeroy chronicles the rise of the People’s Army of Vietnam’s tank-led campaigns, culminating in the dramatic fall of Saigon.

Book Review: Crisis And Crossfire: The United States And The Middle East Since 1945 – Second Edition, Phil Messer

Parameters Bookshelf – Online Book Reviews

Author: Peter L. Hahn

Reviewed by: Colonel Phil Messer

From the Arab-Israeli peace process to the fight against terrorism, Hahn’s updated history reveals the forces shaping US policy in one of the world’s most volatile regions.

A Full Educational Resource Review Of Grey Literature Resources For Vancomycin Dosing Tutorials, Emma S. Kuska, Jen Mlyniec, Kathleen L. Wantuch, Logan Brock, Kathryn E. Desear, Timothy P. Gauthier, Elizabeth B. Hirsch, Wesley D. Kufel, Taylor Morrisette, Matthew Pearsall, Bryan P. White, Joseph J. Carreno

Pharmacy Faculty Scholarship

Background: Optimized vancomycin dosing is associated with improved clinical outcomes, especially decreased acute kidney injury. Free, online, grey literature training materials are available for vancomycin dosing; however, their utility is unclear. Objectives: This study evaluates the utility of these tools for just-in-time (e.g. refresher courses) training for general clinicians dosing vancomycin. Methods: A structured grey literature review of websites was performed, and the Online Course Quality Review (OSCQR) rubric was modified for this study. Eligible resources included free, web-based tutorials aimed at general clinicians. The materials were evaluated using the rubric. Data were summarized as counts and proportions. Results: A …

Faculty Senate Meeting Minutes Jan 16, 2026, A-State Faculty Senate

Faculty Senate Minutes

No abstract provided.

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

Introduction to Public Health

No abstract provided.

Theoretical Analysis Of Mir-Based Differential Photoacoustic Spectroscopy For Noninvasive Glucose Sensing, Tasnim Ahmed, Khan Mahmud, Md Rejvi Kaysir, Shazzad Rassel, Dayan Ban

Electrical and Computer Engineering Faculty Research

Diabetes is a developing global health concern that cannot be cured, necessitating frequent blood glucose monitoring and dietary management. Photoacoustic Spectroscopy (PAS) in the mid-infrared (MIR) region has recently emerged as a viable noninvasive blood glucose monitoring technique. However, MIR-PAS confronts significant challenges: (i) Water absorption, which reduces light penetration, and (ii) interference from other blood components. This paper systematically analyzes the background of photoacoustic signal generation and proposes a differential PAS (DPAS) in the MIR region for removing the background signals arising from water and other interfering components of blood, which improves the overall detection sensitivity. A detailed mathematical …

Cultivating The Creative Ecosystem Amid The Disruption Of Ai, Sarah Oconnell

Tradition Innovations in Arts, Design, and Media Higher Education

Can humanity’s creativity, our artistic intelligence, thrive in symbiosis with the disruptive forces of technology’s Artificial Intelligence in work, media and education? “Who is responsible?” may be the more important question as we face a future infused with AI. Impacted individuals and industries cannot wait for ambiguous political powers to determine AI regulatory policy. They must develop strategies for critique and discernment in real time to prevent the technology’s disruption in society from devolving into oppressive dysfunction.

Who is responsible for cultivating the balance that sustains humanity? Scholars and practitioners with artistic intelligence are adaptive catalysts for collaborative problem solving …

Book Review: World War Ii Battles Reconsidered: Game Theory And Decision Science Perspectives On Gazala, El Alamein, Falaise, And Arnhem, Andy Nichols

Parameters Bookshelf – Online Book Reviews

Author: Mark Thompson

Reviewed by: Lieutenant Colonel Andy Nichols, US Army War College class of 2024

Former Harvard professor Mark Thompson applies cutting-edge decision science and game theory to four pivotal World War II battles, revealing how strategic missteps and psychological biases shaped their outcomes. From Gazala’s disastrous command decisions to Arnhem’s flawed reliance on surprise, each case is dissected with analytical precision and historical depth. This groundbreaking study challenges conventional military narratives and offers a fresh lens on leadership, risk, and battlefield logic.

Book Review: A Day In September: The Battle Of Antietam And The World It Left Behind, Wylie W. Johnson

Parameters Bookshelf – Online Book Reviews

Author: Stephen Budiansky

Reviewed by: Dr. Wylie W. Johnson, US Army War College Class of 2010

A Day in September: The Battle of Antietam and the World It Left Behind analyzes the battle’s “Revolution in Military Affairs” and how it radically changed the United States and the world. It focuses on technologies, personalities, military doctrine, nongovernmental organizations, medical advances, international intrigue, and politics.

January 16, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

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 …

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

The Lawrentian

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.

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 …

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 …

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 % …