The Distribution Of Cadmium And Its Isotopes In The Subarctic Pacific, J. M. Malloy, H. R. Hunt, M. Sieber, S. Takano, H. Obata, T. M. Conway

Making Waves REU

• Cadmium (Cd) is a bioactive trace element that can act as a micronutrient, driving large scale chemical processes like photosynthesis and cellular respiration [1,2].
• The uptake of major nutrients is limited by dissolved iron (Fe) availability in high nutrient low chlorophyll (HNLC) surface regions like the subarctic Pacific [2,4].
• Upwelling of Cd-rich deepwater is a Cd source, in addition to riverine, atmospheric, and anthropogenic inputs [1].
• Dissolved cadmium isotopic compositions (δ114Cd) provide insight into the biogeochemical processes controlling Cd distributions throughout the water column, including biological uptake in surface waters, regeneration, and water mass mixing at depth.
• Here we present …

Real-World Data Investigating The Frequency Of Flash Glucose Monitoring And Glycaemic Metrics In Omani Diabetes Patients: A Preliminary Retrospective Cross-Sectional Study, Ammar Al-Mamari, Sumaia Al Gharabi, Merah Al Busaidy, Abdulla Al Futaisi

Sultan Qaboos University Medical Journal

Objectives: This study aimed to evaluate real-world glycaemic outcomes associated with flash glucose monitoring (FGM) use in patients with diabetes at Sultan Qaboos University Hospital, Muscat, Oman. Methods: This retrospective cross-sectional study was conducted among diabetic patients using flash glucose monitoring between January 2022 and August 2023. Patients were grouped by scanning frequency, time-in-range (TIR) and estimated A1c (eA1c). Associations between scanning frequency and glycaemic metrics were analysed. Results: A total of 436 patients were included in this study. Patients with higher scanning frequency (≥12 scans/day, median = 17) achieved greater TIR (52.4% versus 34.8%), lower time-above-range (41.8% versus 57.0%), …

Biochar To Improve The Thermal Performance Of Living Wall Systems: Laboratory Assessment Of Three Planting Substrates, Joao Alencastro, Thomas Murphy, Jack Morewood, Steve Goodhew

School of Art, Design and Architecture

Living wall systems (LWSs) help to alleviate the climate and biodiversity harms associated with buildings and bring benefits to building occupants. Their performance can be variable and existing research points to the planting substrate as a key design factor. This study provides quantitative evidence on the physical, thermal and moisture performance of three planting substrates that vary according to the proportion of biochar added to green waste compost (GWC). Thermal conductivity (Wm−1 K−1), thermal resistivity (mK W−1), volumetric moisture content (%) and mass (g) are measured for each fraction, replicated six times. Controlled drying procedures were employed, measuring these properties …

The Pure Yang Mills Field V2, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

We construct a pure Yang-Mills field based on a non-Abelian simple gauge group.

Axioms and the mass gap are satisfied.

Grief, Memory, And Hope: Significance Of Ancestral Land In Psalm 137, “By The Rivers Of Babylon,” In Healing Intergenerational Migration Trauma, Shimbo Pastory William

Loyola Papers

Psalm 137 presents a paradigmatic expression of exile and lament, and the power of shared hope to return to the ancestral land. Memories trigger strong feelings and a firm resolve not to “forget” the ancestral home. This paper argues from a constructive perspective that in Psalm 137, the memory of ancestral land is not merely nostalgic or a source of grief, but it functions as a theological act that preserves communal identity and sustains hope for restoration and healing. Even today, we feel strongly about land, especially ancestral lands, because they are closely connected to our identity, cherished memories, grief, …

Proton Versus Photon Radiotherapy For Patients With Oropharyngeal Cancer In The Usa: A Multicentre, Randomised, Open-Label, Non-Inferiority Phase 3 Trial, Steven J Frank, Paul M Busse, J Jack Lee, David I Rosenthal, Mike Hernandez, Adam S Garden, Samir H Patel, James W Snider, Daniel J Ma, Jason K Molitoris, Nancy Y Lee, Upendra Parvathaneni, Mark W Mcdonald, Noah S Kalman, Alexander Lin, Nasiruddin Mohammed, Christina Henson, Christian Hyde, Gopal K Bajaj, Sanford R Katz, Roi Dagan, William H Morrison, Jay P Reddy, C David Fuller, Shalin J Shah, Jack Phan, Gregory M Chronowski, Lauren Mayo, Erich M Sturgis, Renata Ferrarotto, Xiaorong R Zhu, Xiaodong Zhang, Li Wang, Katherine A Hutcheson, Adel K El-Naggar, Amy C Moreno, Anna Lee, Michael T Spiotto, Neil D Gross, Stephen Y Lai, Jay J Liao, Jonathan Paly, Zhongxing Liao, Robert L Foote

Faculty, Staff and Student Publications

Background: Radiotherapy is an integral component of treatment for oropharyngeal cancer. Toxicity from the current state-of-the-art photon radiotherapy, intensity-modulated radiation therapy (IMRT), has prompted the search for alternative, less toxic therapies. One such alternative that might de-intensify treatment is proton therapy. In this trial, we aimed to directly compare IMRT with intensity-modulated proton therapy (IMPT), both concurrent with systemic therapy, hypothesising comparable disease control and survival and lower toxicity.

Methods: This randomised, multicentre, open-label, non-inferiority, phase 3 trial was conducted in 21 sites (cancer centres or universities) in the USA. Patients (aged ≥18 years) with stage III or stage IV …

An Optimized Hybrid Xgboost-Lstm-Gru Model For Energy Consumption Forecasting In Smart Homes Using Weather Data, Marwah J. Salman, Eman M. El-Gendy, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Energy consumption is increasing every day due to the proliferation of smart homes and smart household appliances, which deplete existing energy resources. Therefore, efficient energy management by accurately predicting energy consumption is critical. In this paper, a hybrid prediction model is proposed to forecast energy consumption in smart homes using weather data. The proposed system follows five steps: data acquisition, data preprocessing, feature selection, prediction, and hyperparameter optimization. In the data acquisition step, all attributes except the weather attributes are removed. The min-max algorithm is then applied to normalize the dataset to a specific scale, preventing the prediction model from …

Decision In Art. 78 Proceeding - Dones, Juan (2025-10-24)

Decisions in Art. 78 Proceedings

No abstract provided.

Mechanical Characterization And Determination Of Self-Healing Efficiency For Polyurea-Pdms Polymers Via Tensile Testing, Logan Shaffer, Forrest Dohner

Discovery Day - Daytona Beach

The intrinsic self-healing efficiency of polydimethylsiloxane (PDMS) based polymers is extensively evaluated through tensile testing. Our research group has synthesized three novel, intrinsically self-healing polymers composed of bis (aminopropyl) terminated PDMS units reacted with diisocynates to form urea linkages. By altering the molecular weight range of the aminopropyl terminated PDMS starting material, polymers that yield different mechanical properties are created. The self-healing efficiencies and modulus of these novel polymers are evaluated via tensile testing to evaluate their overall strength and flexibility. Tensile testing involves stretching the polymer until it fractures, recording the force (N), time (s), and extension (mm) which …

Composition Determination Of Terrestrial Exoplanets, Kate Shenk

Discovery Day - Daytona Beach

The exact composition of terrestrial exoplanets remains the subject of great interest, from informing chances of habitability to our theories of planetary formation. Such information is difficult to resolve for exoplanets. Mass and radius alone may be used to determine a set of probable compositions, however if one uses average densities for iron and silicate an inaccurate composition is calculated. To more accurately determine composition, one must apply the effects of compression and differentiation. In this project we apply the Tolman-Oppenheimer-Volkoff equation and bulk modulus to accurately determine the possible compositions of terrestrial exoplanets.

The Archon, 1957 Edition, Zeta Phi Beta Sorority Incorporated

Josie Green Washington Papers

A 1957 edition pamphlet called The Archon, an official organ of the Zeta Phi Beta Sorority.

Antibacterial Peptides From Soybean (Glycine Max (L.) Merr.) With In Silico Study Against Escherichia Coli Bacteria, Dian Riana Ningsih, Ely Setiawan, Purwati Purwati, Zusfahair Zusfahair, Anita Hindayanti Rukmana

Karbala International Journal of Modern Science

Bioactive peptides are produced from soy milk protein hydrolysis using trypsin. The research began with the preparation and separation of soy milk protein, followed by fractionation using ammonium sulphate, protein hydrolysis, and SDS-PAGE analysis of protein hydrolysates. Fractions exhibiting the highest degree of hydrolysis were further fractionated by SPE and tested to determine the antibacterial activity Staphylococcus aureus and Escherichia coli. The peptide sequence of the active peptide as an antibacterial was identified, employing LC-HRMS. The mode of action between active peptides and bacterial membran was analysed using molecular dynamics (MD) simulation. The findings displayed that F15 contained the highest …

The Archon, 1951 Edition, Zeta Phi Beta Sorority Incorporated

Josie Green Washington Papers

A 1951 edition pamphlet called The Archon, an official organ of the Zeta Phi Beta Sorority.

(((Qpie))) How To Read Qpie If You Are Trained In Physics, Teddy Burroughs

Defensive Publications Series

• All Sites
• The Grand Unified Theory (QPIE)
• Customize
• 00 Comments in moderation
• New
• Edit Post

• Reader

• Howdy, Vision2Funding
• Search

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE)))How to Read QPIE If You Are Trained in Physics

How to Read QPIE If You Are Trained in Physics

A Technical Orientation Guide for Physicists, Information Scientists, and Systems Theorists

0. One-Paragraph Orientation (Read This First)

QPIE (Quantum Perspective Is Everything) is not a competing physical theory, nor a modification of quantum mechanics. It is a meta-scientific operator …

Method And Approach In Large Language Models For Complex Question Answering, Ravi Shanker Kumar Sinha, Shivam Mohan, Satyam Raj, Dheeraj Dhamija

Defensive Publications Series

The present disclosure relates to a method and system for enhancing the accuracy and flexibility of Large Language Models (LLMs) during complex question answering. The method involves identifying a plurality of decision nodes within the LLM's internal reasoning structure, each representing a point of ambiguity or multiple potential reasoning paths. The reasoning process is paused at each identified decision node to present contextually relevant options to the user. User input is received at these decision nodes, specifying preferences or additional data to guide subsequent reasoning. This input is integrated into the ongoing reasoning process of the LLM, dynamically generating a …

Self-Learning, Llm-Driven, Explainable, Privacy-Aware, Learning Agent For Intelligent Model Recommendations (Self-Llm-Xplainer), Rahul Gautam, Karankumar Hiteshbhai Patel, Harishkumar Sundarji Majithiya

Defensive Publications Series

The present disclosure relates to a system and method for model recommendation, more particularly, a self-learning, LLM-driven, explainable, privacy-aware, learning agent for intelligent model recommendations (SELF-LLM-XPLAINER). The present disclosure suggests ingesting a dataset provided by a user via an online interface. Thereafter, the present disclosure suggests profiling the ingested dataset to generate standardized metadata. Subsequently, assessing the standardized metadata and sampled data values to detect Personally Identifiable Information (PII) and to generate a privacy risk map. Upon generating the privacy risk map, the present disclosure suggests identifying a machine learning task corresponding to the dataset based on the standardized metadata …

Context-Aware Adjustment Of Voice Characteristics For Artificial Intelligence Agents, Mahdi Tayarani Najaran, Ruofei Du

Defensive Publications Series

Traditional artificial intelligence agents, such as in smart eyewear typically utilize static voice profiles that do not account for the user's immediate environment or interaction history. This lack of context can result in auditory outputs that are disruptive in quiet settings or unintelligible in noisy surroundings and the overall experience. This disclosure describes a method for dynamically adjusting voice characteristics, such as volume, pitch, timbre, and directivity, based on real-time soundscape analysis and location history. Input is gathered from sensors to extract contextual cues, including environmental noise levels and the user's own vocal delivery. For instance, if a user whispers, …

Immersive Language Learning Platform Using Extended Reality And Avatars, Dongeek Shin

Defensive Publications Series

Conventional language learning applications often lack the immersive, real-world conversational practice necessary for effective language acquisition. This disclosure describes a method for language acquisition using an extended reality (XR) platform that generates realistic environments populated by interactive avatars. These avatars can be rendered using a text-grounded Generative Adversarial Network (GAN) and are trained on datasets of native speakers’ speech and facial expressions. A large language model (LLM) facilitates real-time, audio-based conversation between the user and the avatars, with conversational difficulty adapting to the user’s proficiency level. A spaced repetition algorithm can also be used to reinforce vocabulary. The purpose of …

Metabolic Phenotyping And Therapeutic Hierarchy For Dyslipidemia In Saudi Type 2 Diabetes, Ahmed A. Almohammadi, Mohammed W. Azuny, Abdulmannan A. Alem, Sarah F. Alsobhi, Muath H. Alqayidi, Rami O. Alharbi, Salem S. Alhubayshi, Duha W. Azouni

University of Bisha Journal for Basic and Applied Sciences

Aims: Dyslipidemia represents a critical cardiovascular risk factor in type 2 diabetes mellitus (T2DM), yet distinct metabolic phenotypes and their therapeutic implications remain inadequately characterized in Saudi populations. This study aimed to identify dyslipidemia phenotypes, establish therapeutic hierarchies, and examine metabolic determinants in Saudi T2DM patients.

Methods: A cross-sectional study enrolled 406 T2DM patients at Madinah Diabetic Center, Saudi Arabia (August-December 2024). Comprehensive sociodemographic, clinical, lifestyle, and laboratory data were collected. Statistical analyses included cluster analysis for phenotype identification, multivariate linear regression for lipid determinants, and chi-square tests for categorical associations. Ethical approval was obtained from IRB-Madinah (H-03-M-84).

Results: Dyslipidemia …

Synthesis And Characterization Of Mn4S4:Ni2S2 Chalcogenide Electrodes For Superior Supercapacitive Properties, Yasser T. Alharbi

University of Bisha Journal for Basic and Applied Sciences

The growing interest of researchers is shifted towards energy storage systems and the production of energy storage materials. In present research, an innovative Mn₄S₄:Ni₂S₂ semiconducting nanocomposite has synthesized using single source technique by fabricating di hexyldithiocarbamate ligand to further improve the efficiency of charge storing batteries. The fabricated material shown efficient optical property with direct band gap in range of 3.2–3.26eV. The crystallographic analysis examined the average crystalline size of the prepared nanocomposite particles of about 22 nm. The IR spectroscopy analysis has shown the presence of metal-sulfur bond and their peaks has …

Dams And Rural Conflict: Evidence From Brazil’S Hydropower Expansion, Raphael Corbi, Chiara Falco, Luca J. Uberti

Fondazione Eni Enrico Mattei Working Papers

We estimate the impact of infrastructure investment on conflict using 163 hydroelectric dams in Brazil (2002–2022). Leveraging the staggered rollout of construction in a difference-in-differences framework, we find that dams trigger sharp, temporary surges in land invasions, water disputes, and homicides. These effects peak during construction and dissipate upon operation, suggesting they stem from the displacement process rather than the public good itself. Crucially, conflict is mediated by local institutions: violence occurs only where property rights are weak and displacement affects vulnerable smallholders. Our results demonstrate that without effective compensation, state-led modernization generates destabilizing redistributive shocks.

Generative Algorithms For Wildfire Progression Reconstruction From Multi-Modal Satellite Active Fire Measurements And Terrain Height, Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta, Haitong Qin, James Haley, Angel Farguell, Kyle Hilburn, Derek V. Mallia, Adam Kochanski, Jan Mandel, Assad A. Oberai

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? Conditional generative algorithms trained on simulations of historic wildfires may be used to effectively reconstruct the early-time progression of wildfires given satellite active fire measurements and terrain height data. When applied to real wildfires, generated fire progression estimates compare favorably to ground-truth high resolution infrared perimeters measured via aircraft, with the ability to gather additional information about model uncertainty from generated samples. What are the implications of the main findings? Once obtained, fire progression estimates may be used to perform data assimilation, wherein the estimated fire state is used to initialize subsequent wildfire spread …

Effectiveness Of Myoinositol Versus Metformin As Adjuvant Treatment On Infertile Pcos Women Undergoing Ovulation Induction Cycles Prospective Cohort Study, Ahmed M. Salman, Fatma M. Sayed, Hesham Mohammed Hamad

Journal of Medicine in Scientific Research

Background In anovulatory infertility Polycystic ovary syndrome (PCOS) plays a leading role, characterized by endocrine and metabolic disturbances. While metformin is usually used to decrease insulin resistance and restore ovulation, myoinositol has emerged as a promising alternative with fewer side effects. This study aimed to evaluate and compare the effectiveness of metformin and myoinositol as adjuvant treatments in infertile women with PCOS in ovulation induction cycles. Patient and methods This prospective cohort study included 192 women diagnosed with PCOS-related infertility, divided into two groups (n = 96 each) receiving either metformin or myoinositol for 3 months prior to ovulation induction. …

Breast Cancer Therapy Induced Right Ventricular Cardiomyopathy: A Single Institute Experience, Doaa M Elsayed, Safa Ahmed Balata, Mohamed Elsayed Saleh

Journal of Medicine in Scientific Research

Background It is well-known that chemotherapy medicines can cause cardiomyopathy and left ventricular dysfunction as adverse effects. There is scant evidence concerning the effects of chemotherapeutic drugs on the integrity & functionality of the right ventricle (RV). Aim To study the impact of cardiotoxic systemic therapy on right ventricular function in nonmetastatic breast cancer cases, particularly evaluating the efficacy of modern echocardiographic procedures for the early recognition of RV cardiomyopathy. Patient and Method A total of 104 women diagnosed with breast cancer participated in this prospective trial. Two therapy groups were established for the cases: 42 patients received anthracycline therapy, …

Frequency Of Autoimmune Primary Adrenal Insufficiency In Children And Adolescents With Type 1 Diabetes Mellitus, Randa Mohamed Darwish, Ayat Ibrahim Ghanem, Lamis Safwat Mubarak

Journal of Medicine in Scientific Research

Background Type 1 diabetes mellitus (T1DM) is a chronic endocrine disorder of autoimmune origin with a predisposition to the development of further autoimmune diseases, including autoimmune adrenal insufficiency (Addison’s disease). Although uncommon and frequently underdiagnosed, it can coexist with T1DM, causing life-threatening complications if undiagnosed. Aim To assess the frequency of autoimmune adrenal insufficiency in children with T1DM and its association with other autoimmune diseases. Methods A cross-sectional study was conducted on 110 children with type 1 diabetes mellitus (T1DM) and 100 age- and sex-matched healthy controls. All participants underwent a full clinical evaluation and laboratory testing, including serum cortisol, …

Effect Of Therapeutic Ultrasound Versus Anti-Inflammatory Drugs In The Treatment Of Trigger Finger. A Placebo Randomized-Controlled Trial., Eslam Elsayed Ali Shohda

Journal of Medicine in Scientific Research

Background: Trigger finger (TF) is a painful disorder that hinders the use of the entire hand. One of the most widely used modalities in the field of physiotherapy is therapeutic ultrasound (US); however, no randomized control trial has investigated the use of US in the treatment of TF. The objective of this trail is to determine the effect of therapeutic US on pain intensity and the frequency of daily finger clicking in patients with TF. Materials and Methods: A single-blind, randomized (1:1), placebo-controlled, clinical trial was conducted at a physiotherapy outpatient clinic at Alahrar Teaching Hospital in Zagazig, Egypt. Twenty …

Beverly Rivera V. Attorney General Pennsylvania

2026 Decisions

USDC for the Eastern District of Pennsylvania

Capturing Sclera Anisotropy Using Direct Collagen Fiber Models: Linking Microstructure To Macroscopic Mechanical Properties, Fengting Ji, Xuehuan He, Frederick Sebastian, Mohammad R. Islam, Hannah Schilpp, Bingrui Wang, Yi Hua, Rouzbeh Amini, Ian A. Sigal

Mechanical Engineering Faculty Publications

Collagen fibers are essential to the mechanical behavior of soft tissues, including sclera. Conventional models often represent these fibers statistically, potentially missing crucial aspects of their role in tissue behavior. In this study, we expand on a direct fiber modeling approach that we recently presented based on explicitly representing the sclera long, interwoven fiber bundles. Specifically, our goal was to capture specimen-specific 3D fiber architecture and anisotropic mechanics of four ovine sclera samples (superior from Eye-1, temporal and superior from Eye-2, and temporal from Eye-3), each tested under five conditions: equi-biaxial (1:1) and four non-equi-biaxial (1:0.75, 0.75:1, 1:0.5, and 0.5:1). …

Annual Comprehensive Financial Report, Knox County, For The Year Ended June 30, 2025, Tennessee. Comptroller Of The Treasury.

Tennessee County Audit Reports

No abstract provided.

General And Special Relativity May Explain The Hubble Tension And Galactic Rotation, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Using two equations from general and special relativity, one can explore the hypothesis that gravitational time dilation and the relativistic Doppler effect cause the Hubble tension. Predicted results show good agreement between theory and observation, as long as mass is restricted to ordinary baryonic matter. This unexpected finding suggested a surprising continuation, namely that observed galactic rotation also be explained by special relativity. This idea survived initial tests using both Vera Rubin’s original data and more recent observations.