Digital Commons Network^™

Effects Of Cutting Methods And Drying Temperatures On Hot-Air Drying Kinetics And Quality Of Morchella Esculenta, Lin Fang, Wu Zhaolong, Wu Ying, Ma Lanyu, Liu Zhonglin

Food and Machinery

[Objective] To enhance the added value of Morchella esculenta and optimize its hot -air drying process. [Methods] The effects of cutting methods (whole mushroom, 1/2 cut, and 1/4 cut) and drying temperatures (50,60, and 70 ℃) on drying characteristics, nutritional quality (rehydration ratio, protein content, and total phenolic content ), and antioxidant activity were systematically investigated, and a drying kinetic model was established. [Results] The hot -air drying process of M.esculenta could be divided into two stages:an accelerating drying stage and a falling -rate drying stage. The Page model accurately described the moisture variation during drying (R2=0.980). With increasing cutting …

A Review Of Near-Infrared Spectroscopy For Pesticide Residue Detection In Fruits And Vegetables, Mai Xinyun, Hu Fangyang, He Lingling, Niu Junle, Wei Lanjie

Food and Machinery

Near -infrared spectroscopy (NIRS ) is valuable in pesticide residue detection for fruits and vegetables due to its nondestructive, rapid, and efficient nature. This review summarizes current research status in this field, compares the applicability of different spectral bands and imaging techniques, and analyzes challenges in single and mixed pesticide residue detection alongside enhancement strategies. Additionally, approaches to spectral preprocessing and feature wavelength selection are examined, with performance comparisons between chemometrics and deep learning models. Furthermore, the role of calibration transfer and transfer learning is discussed in improving model generalization across instruments and crop varieties. With continuous advancements in spectral …

Troy Lewald V. Pennsylvania Department Of Corrections

2026 Decisions

USDC for the Eastern District of Pennsylvania

Noise-Perturbed Federated Learning For Synthetic Wearable Health Monitoring: A Reproducible Multi-Seed Evaluation, Billel Essaid

Mesopotamian Journal of Artificial Intelligence in Healthcare

Federated learning (FL) keeps wearable records local, but shared updates can still disclose participant information. This study evaluates an auditable noise-perturbed FL pipeline for synthetic wearable risk monitoring and examines how client-side clipping, central Gaussian perturbation, participant-held-out validation, and two empirical privacy attacks behave across repeated cohorts. Twelve independently generated cohorts (24 participants; 5,760 half-hour windows each) were analyzed with matched-exposure centralized logistic regression, FedAvg, clipped FedAvg, and clipped-plus-noise FedAvg using 16/4/4 participant train/validation/test splits. Uncertainty was estimated with a two-stage hierarchical bootstrap that preserves each seed's validation-selected threshold. The clipped-plus-noise model achieved mean AUROC 0.903 (95% CI 0.867–0.913), AUPRC …

Artificial Intelligence In Occupational Mental Health Assessment: Applications, Predictive Potential, Methodological Challenges, And Responsible Implementation, Julio Suárez Albanchez

Mesopotamian Journal of Artificial Intelligence in Healthcare

Background: Occupational mental health disorders represent a growing challenge for organizations worldwide. Artificial intelligence (AI) has emerged as a potential tool for improving the assessment and surveillance of psychosocial risks.
Methods: A critical narrative review of the literature on AI applications in occupational mental health was conducted, focusing on predictive models, methodological limitations, ethical risks, and governance challenges.
Results: Current evidence suggests that AI systems can support the prediction of burnout, stress, anxiety, and other mental health outcomes through machine learning, natural language processing, and behavioral analytics. However, important limitations remain regarding data quality, external validation, explainability, privacy, algorithmic bias, …

Chatgpt Employment Anxiety And Career Confidence: Discipline-Contingent Evidence From Malaysian Undergraduates, Fahd A. Raza, Abtar D. Singh, Rabia Anwar, Jonathan Js Kovilpillai, Analisa Hamdan, Fumiko Konno, Husna Hr Azami, Murali Raman

Higher Learning Research Communications

Background: The rapid diffusion of generative artificial intelligence (AI) has raised concerns about graduate employability, yet evidence on how ChatGPT employment anxiety relates to career confidence remains limited, particularly in non-Western contexts.

Objectives: We examined whether ChatGPT employment anxiety is associated with career confidence among Malaysian undergraduates and whether academic discipline or usage intensity moderates that association.

Methods: Using the Malaysian subset of the 2024–2025 Global ChatGPT Student Survey (Aristovnik et al., 2025; N = 315 ChatGPT users), we constructed a four-item employment anxiety index (α = .80) and estimated hierarchical ordinary least squares (OLS) regressions predicting a single-item measure …

Healing Trauma Through Art Therapy: From The Perspectives Of Human Trafficking Survivors And Licensed Art Therapists, Adalyn Ober, Alycha Boehm, Heather Evans

Sociology Between the Gaps: Forgotten and Neglected Topics

No abstract provided.

50 Years Of Irrigation District Modernization In The Usa -- Then And Now, Charles M. Burt

BioResource and Agricultural Engineering

Irrigation district modernization in the USA has seen changes in management attitudes, hardware, software, and the shouldering of responsibilities for environmental issues that were never envisioned fifty years ago. The pace of modernization is quite variable depending upon the state and location within the state. This paper provides some insights into the evolution of several aspects of modernization over that fifty year time span.

Specific Effects Of Pulsed Field Ablation On The Cardiac Tissue, The Nervous System And The Conduction System In Experimental And Clinical Studies, Josselin Duchateau, Iwanari Kawamura, Gurukripa N Kowlgi, Elad Maor, Moritz Nies, Christian W Zemlin, Tomás García-Sánchez, Samuel J Asirvatham

2020-Current year OA Pubs

AIMS: Pulsed field ablation (PFA) has emerged as a novel ablation modality for the treatment of cardiac arrhythmias and has rapidly reshaped contemporary electrophysiology practice. This article provides a comprehensive analysis on the mechanisms underlying the specific effects of PFA on myocardial, neural tissue structures, and the cardiac conduction system, integrating biophysical principles with preclinical and clinical evidence relevant to contemporary electrophysiology practice.

METHODS AND RESULTS: This document provides an exhaustive mechanistic explanation for the preferential effects of PFA on myocardium and the limits of the 'tissue-selectivity' concept. The complex interplay between cellular and tissue-level biophysics, biological responses, and tissue …

Comprehensive Variable-Temperature Raman And Spectroscopic Ellipsometry Investigation Of Bulk Undoped, Fe-Doped, And Ge-Doped Gan: Correlated Phonon, Carrier, Optical, And Disorder Dynamics, Manika Tun Nafisa, Sm Atiqur Rahman, Zhe Chuan Feng, Sandip Das, James N. Hilfiker, Nina Jong, Ian T. Ferguson, Benjamin Klein

Faculty Articles

Bulk gallium nitride (GaN) substrates with controlled electrical compensation and doping are foundational materials for high-power electronics, optoelectronics, and emerging spintronic devices. Despite extensive studies on epitaxial GaN thin films, a complete and correlated understanding of crystal, phonon, free-carrier, birefringence, optical, and disorder-driven processes in high-quality bulk GaN crystals remains limited. In this work, a comprehensive temperature-dependent (25–300 °C) investigation of free-standing bulk undoped, Fe-doped, and Ge-doped GaN substrates using Raman spectroscopy, spectroscopic ellipsometry (SE), and atomic force microscopy (AFM) has been presented. A detailed analysis of phonon evolution, apparent Raman-shift-derived biaxial stress and in-plane strain, longitudinal optical phonon–plasmon coupling …

2026-10-21 Washington Midterm Ballots Now Available To Voters, Kean Mathis

The Spectator Online

No abstract provided.

2026-10-21 Seattle U Students Support Immigration Detainees Through Legal Aid And Advocacy, Maya Deguzman

The Spectator Online

No abstract provided.

Detroit Bird City: Transforming Underutilized Open Space Into Native Meadow Through A Cross-Sector Partnership, Kate Gmyrek

Cities and the Environment (CATE)

The City of Detroit’s population has decreased by roughly two-thirds since the 1950s, resulting in many areas with high vacancies. Within the park system, many parks and acres of parkland have little to no amenities and are classified by the city as “Community Open Space.” A partnership between the City of Detroit Landscape Design Unit (LDU), Detroit Bird Alliance (DBA, formerly Detroit Audubon), and the US Fish and Wildlife Service’s Partners for Fish and Wildlife Program (USFWS), along with other community organizations, is transforming underutilized park space into native meadows. This partnership allows for the strategic sharing of resources to …

Real-Time Integration Of Iomt And Patient Digital Twins With Blockchain-Anchored Provenance For Interoperable And Privacy-Preserving Electronic Health Records, Dinesh Goyal, Sheng-Lung Peng

Mesopotamian Journal of Artificial Intelligence in Healthcare

Electronic health records (EHRs) are not designed for continuous physiological streams, dynamic patient-state representations, and verifiable cross-provider exchange. This study presents an integrated healthcare architecture combining Internet of Medical Things (IoMT) telemetry, patient-specific Digital Twins, GRU-based risk analytics, blockchain-anchored provenance, and HL7 FHIR R4 interoperability. Its central contribution is the Synchronized State Update with Risk-Aware Blockchain Anchoring (SSU-RABA) algorithm, which couples Digital Twin synchronization with predicted clinical risk to prioritize asynchronous provenance anchoring without blocking the real-time update path. In controlled experiments with 18,000 synthetic IoMT packets, the Digital Twin achieved a mean update latency of 178 ms and synchronization …

The Price Of Open: Understanding Article Processing Charges And Nsu's Cost-Saving Agreements, Keri Baker

Staff Presentations, Proceedings, Lectures, and Symposia

Open access publishing can raise your work's visibility and impact — but it often comes with a price tag in the form of Article Processing Charges (APCs) that can run into the thousands of dollars. This session, designed for NSU faculty, unpacks the true cost of “open” and shows you how to avoid paying it. We'll cover the Scholarly Communications services available through the Alvin Sherman Library, walk through the major open access models (Gold, Green, Diamond, Hybrid) and how their costs differ, and — most importantly — detail the transformative “Read and Publish” agreements NSU currently holds with publishers …

Ruins In Reverse: Landscape Painting, Time, And The Galleria At Crystal Run | Srps Fall '26 10/21, Kristopher Benedict

Sustainability Research & Practice Seminar Presentations

Professor Kristopher Benedict, Art + Design, presents "Ruins in Reverse: Landscape Painting, Time, and the Galleria at Crystal Run".

Bridging The Gap: Patient Perspectives On Transition Of Care In Hirschsprung Disease, Stefanie F. Faucher

Summer Research Program Abstracts

No abstract provided.

China Maritime Report #59: Be Focused, Be Humble, Be Happy: Career Progression, Organization, And Training Of Plan Submariners, Phil Yu, Benjamin Rosen

CMSI China Maritime Reports

Main Findings

Led by the political commissar with the commanding officer serving as deputy, party committees are responsible for major decision-making, maintaining party control, training, and general leadership aboard People’s Liberation Army Navy (PLAN) submarines. While Chinese sources extoll this collective leadership model, it is unclear how this command structure influences decision-making efficacy in practice.

PLAN political officers play a critical role in the leadership and decision making on PLAN submarines, but reportedly lack understanding of submarine operations. Despite attempts to improve the operational competency of political officers, this likely remains a problem for the PLAN submarine force.

The diverse …

Spectrum, Volume 57, Issue 5, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include: Students and Faculty on the Cornell Case -- ProjectConnect -- Master of Public Health Program -- Camaraderie, Chemistry and Consecutive Wins -- Women’s Rugby Makes a Comeback

Assessment Of The Potential Training Population Within Selected Neighborhoods In The City Of Chattanooga, Tennessee, Kathleen Bolter, Gerrit Anderson, Kyle Huisman

Upjohn Institute Technical Reports

This report provides a strategic analysis of the potential job training population of prime-age (25–54) “Recompete” residents within 14 identified census tracts in South and East Chattanooga, Tennessee. The data reveal a distinct population facing compounded physical and economic barriers that require a multisectoral approach beyond traditional skills training. The report offers neighborhood-specific strategies to improve stable employment through better access to training and other forms of transportation, childcare, and language assistance.

Spartan Daily, October 21, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 26

Transforming The Panama Canal From Transportation Infrastructure Into A Tourist Destination: Opportunities, Challenges, And Sustainability Implications, Ali Kheleel Ibrahim, Muthana Faaeq Almasoodi

AUIQ Humanities and Social Sciences

This research examines the transformation of the Panama Canal from functional transportation infrastructure into a significant tourist destination while maintaining operational integrity. Employing descriptive and analytical methodologies, the study analyses visitor statistics, economic impacts, infrastructure investments, and sustainability challenges across recent years. Findings reveal substantial growth in visitor numbers and demonstrate that canal tourism consistently contributes to a significant proportion of national tourism revenues. The Panama Canal's higher visitor figures relative to the Suez Canal are consistent with, though not causally attributable to, differences in institutional approaches to tourism development, as establishing causality would require controlled comparative data unavailable within …

Optimizing Job Demands And Resources To Enhance Employee Engagement And Organizational Performance, Ali Shakir Zaidan, Hadeel Kadem Saeed, Arash Arianpoor, Siraj Razooqi Abbas

AUIQ Humanities and Social Sciences

This study examines how Job Demands, resources, satisfaction, work engagement, and firm performance are interrelated using the job demands–resources (JD-R) model. According to this model, job demands are important for organizations, but if they are not balanced by sufficient job resources, they can cause strain and lower satisfaction. By contrast, job resources act as critical enablers, mitigating the adverse effects of demands, promoting job satisfaction, and enhancing employee engagement. By conceptualizing job satisfaction as a mediating variable, the proposed model clarifies how the interplay between demand and resources leads to increased work engagement, which contributes to improved firm performance. This …

An Agentic Ai Decision-Support Framework For Interpretable Crowd Status Monitoring Via Yolov5, Hasanain Hazim Azeez, Rafea Mohammed Ibrahim, Esraa H. Yahyaa, Thura Jamal, Nasri Sulaiman

AUIQ Humanities and Social Sciences

For public safety in crowded public places, less human detection is insufficient without interpretability and actionability of decision assistances. Although deep learning–based video surveillance systems have achieved accurate detection recently, the majority are restricted to passive perception and do not convert visual products into executive decisions for crowd status. This study presents an agentic AI-based decision support framework for interpretable real-time crowd status monitoring, to link vision-based perception and public safety decision. The proposed framework incorporates a YOLOv5-derived human detection module, an agentic state evaluation by considering persistability and a transparent rule-based decision making, which distinguishes scenes into crowd versus …

A Biased Variant Of The Ladybug Clock Problem, Jacob Vogelpohl, Russell May

Communications on Number Theory and Combinatorial Theory

Instead of the common assumption of uniform probabilities for steps in a random walk on a graph, we generalize the steps to be biased and compute several statistics related to biased random walks on a cycle graph, more fancifully known as the ``ladybug clock problem." We obtain new explicit formulas for the distribution of probabilities for a walk to end on a particular node, the expected cover time for the cycle, and other similar statistics. We carry out these computations solely with generating functions related to the classic gambler's ruin problem.

Zero-Sum Empathy: The Supreme Court's 2025 Term Decisions On Gender Identity, Susan Etta Keller

ConLawNOW

This past term, the Supreme Court majority continued to follow a pattern of rendering transgender individuals essentially invisible in the cases that concern their rights. In last year’s United States v. Skrmetti, the transgender youth affected by the ban on transgender care were largely absent from the majority opinion holding that such bans discriminated on the basis of neither sex nor transgender status. This term, the majority continued a similar trend, deciding two cases on the emergency docket that ignored the lived experience of transgender individuals while significantly affecting them, and one case on the merits, West Virginia v. …

Narrative Medicine: Essays On Health And Care Vol 2, Robert B. Hackey, Will Toner, Megan Lessard, Jessica A. Smith, Glorimar De Los Santos Mejia, Jillian M. Spinali, Paige M. Daly, Brianna De La Fuente, Julia M. Renzelmann, Clare C. Diffin

Narrative Medicine: Essays on Health and Care

No abstract provided.

Listening To Patients, Michael Stout Md

Narrative Medicine: Essays on Health and Care

No abstract provided.

Adaptive Soft Region-Of-Interest Selection For Metrology Using Physics-Informed Machine Learning, Yoel Shimo Arieli

Defensive Publications Series

A system and method are disclosed for adaptive selection of a measurement region-of-interest (ROI) in metrology images, such as semiconductor overlay and critical dimension metrology. Instead of a binary inclusion/exclusion mask, a soft ROI is used: a pixel-wise weight map assigning each pixel a continuous value representing its reliability and informational contribution, so that pixels dominated by edge diffraction, stray light or neighboring-structure interference are down-weighted rather than discarded. The weight map is produced by a machine-learning model, in one embodiment a Physics-Informed Neural Network trained with a composite objective comprising a measurement accuracy term based on reference metrology data …

Planetary Core Mass And Material Distribution, Peter Stevenson

Defensive Publications Series

Explains the distribution and composition of Planetary Cores as a simple consequence of Sun Activity