Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 71641 - 71670 of 2919830

Full-Text Articles in Entire DC Network

The Global Hypophosphatasia Registry: Lessons Learned From A Decade Of Real-World Data., Priya S. Kishnani, Lothar Seefried, Keiichi Ozono, Gabriel Ángel Martos-Moreno, Cheryl Rockman-Greenberg, Deborah Fowler, Luke K. Burke, William R. Mowrey, Eric T. Rush, Peter R. Ebeling, Wolfgang Högler, Agnès Linglart, Shona Fang, Anna Petryk, Kathryn M. Dahir Nov 2025

The Global Hypophosphatasia Registry: Lessons Learned From A Decade Of Real-World Data., Priya S. Kishnani, Lothar Seefried, Keiichi Ozono, Gabriel Ángel Martos-Moreno, Cheryl Rockman-Greenberg, Deborah Fowler, Luke K. Burke, William R. Mowrey, Eric T. Rush, Peter R. Ebeling, Wolfgang Högler, Agnès Linglart, Shona Fang, Anna Petryk, Kathryn M. Dahir

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION: Hypophosphatasia (HPP) is an inherited, metabolic, rare disease characterized by a high level of clinical heterogeneity. In response to this robust heterogeneity, the Global HPP Registry was formed to characterize the types of manifestations that patients may experience, as well as to compile information on genetic underpinnings of the disease, overall impact on patient quality of life, and safety and effectiveness of enzyme replacement therapy. The objective of this review was to synthesize key learnings gained from the Global HPP Registry, which is now in its tenth year of enrolling patients.

METHODS: Registry data were analyzed to provide up-to-date …


Cohort Profile: The Pharmacogenomics And Pharmacokinetics Study In Ghanaian Hiv Patients (Genopharm-Gh), Nicholas Ekow Thomford, Oksana Ryabinina, Joel Adu Twum, John Anyimadu, Samuel Badu Nyarko, Akwasi Anyanful, Martins Ekor, George Boateng Kyei Nov 2025

Cohort Profile: The Pharmacogenomics And Pharmacokinetics Study In Ghanaian Hiv Patients (Genopharm-Gh), Nicholas Ekow Thomford, Oksana Ryabinina, Joel Adu Twum, John Anyimadu, Samuel Badu Nyarko, Akwasi Anyanful, Martins Ekor, George Boateng Kyei

2020-Current year OA Pubs

BACKGROUND: The GenoPharm-GH project initiated in 2019, as a longitudinal, multi-site observational cohort study aimed at bridging gaps in understanding the influence of host genetics, pharmacokinetics and comorbidities on treatment outcome among persons living with HIV (PLWH) in Ghana.

METHODS: The study is ongoing prospective, longitudinal, multi-site cohort associated with diverse projects being conducted throughout health facilities across Ghana. So far 2044 persons living with HIV (PLWH) aged ≥ 8 years have been registered. These participants are on treatment with antiretroviral therapies (ART). Viral suppression, treatment adherence (self-reported and pill count), clinical data, genetic variations, coinfections, and comorbidities are being …


Modified Artificial Neural Networks In Stochastic Differential Equations To Estimate The Occurrence Rate Of A New Process For Software Reliability Growth Modelling, Adel Sufyan Hussain, Zedan Zubair Mashikhin, Noora Taha Abduirazzaq Nov 2025

Modified Artificial Neural Networks In Stochastic Differential Equations To Estimate The Occurrence Rate Of A New Process For Software Reliability Growth Modelling, Adel Sufyan Hussain, Zedan Zubair Mashikhin, Noora Taha Abduirazzaq

Baghdad Science Journal

This paper aims to utilize modified artificial neural networks under stochastic differential equations to improve the estimation of occurrence rates on models towards the growth of software reliability through such models. There has never been a time when reliable assessment methods have been more important as software systems grow ever more sophisticated. This study covers the risks arising from software bugs, security weaknesses, and the need to meet legal requirements. The authors use a new method that combines artificial intelligence techniques with classical reliability models to achieve their goal of a more efficient computational tool for predicting software reliability. It …


Optimizing Artificial Neural Networks For Smart Grid Stability Analysis Using Tabu Search-Based Hyperparameter Tuning, Salwa Khalid Abdulateef, Armaneesa Naaman Hasoon, Moceheb Lazam Shuwandy Nov 2025

Optimizing Artificial Neural Networks For Smart Grid Stability Analysis Using Tabu Search-Based Hyperparameter Tuning, Salwa Khalid Abdulateef, Armaneesa Naaman Hasoon, Moceheb Lazam Shuwandy

Baghdad Science Journal

Smart grids are supposed to make electricity networks more reliable, yet in practice their behavior can be surprisingly unstable when the load changes too quickly. During this work, we tried to understand that instability and to build a model that predicts when a grid remains stable or begins to drift. We used an Artificial Neural Network and tuned it with a Tabu Search routine that keeps adjusting the number of neurons and the activation functions until the results stop improving. It was not a single run; several training attempts were needed before the model settled. After applying the Tabu optimization, …


Enhancing Secrecy Rate For Cognitive Radio Based On 5g Communication Systems, Mohammed Kadim Shaybeth Al-Jorani, Hakem Beitollahi Nov 2025

Enhancing Secrecy Rate For Cognitive Radio Based On 5g Communication Systems, Mohammed Kadim Shaybeth Al-Jorani, Hakem Beitollahi

Baghdad Science Journal

The non-orthogonal multiple accesses (NOMA) together with Cognitive radio network (CRN) are critical frameworks in the 5G remote transmission framework. Nonetheless, the framework is an outstanding method for the cognitive clients to get a telecommunication from the interference signals in different info numerous yield (MIMO)- NOMA-relied cognitive radio network. For here project, a modern beamforming strategy is introduced for getting a data trade inside similar units as well as adjoining units about every tempering client. The intervention is brought about through a blemished range detecting of the optional clients (SUs). The SUs is expected to get to the essential communication …


Psychopharmacologic Management Of Serious Mental Illness In State Prisons, Clarel Neuvieme Nov 2025

Psychopharmacologic Management Of Serious Mental Illness In State Prisons, Clarel Neuvieme

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice (DNP) project focused on developing and evaluating an evidence-based clinical practice guideline (CPG) for the psychopharmacologic management of serious mental illness (SMI) in a state correctional health system. The project explored a critical practice gap: the unavailability of standardized, evidence-based prescribing and monitoring protocols for incarcerated individuals diagnosed with schizophrenia, major depressive disorder with psychotic features, or bipolar disorder. The evidence-based project was structured around the central question: “Will an interprofessional team achieve consensus on updating the clinical practice guideline for psychopharmacologic management of serious mental illness in state prisons, thereby improving consistency and quality …


South Carolina Reemployment Services And Eligibility Assessments (Resea) Randomized Controlled Trial Design Report, Gabrielle Pepin, Ethan Jenkins, Christopher J. O'Leary, Aaron Sojourner Nov 2025

South Carolina Reemployment Services And Eligibility Assessments (Resea) Randomized Controlled Trial Design Report, Gabrielle Pepin, Ethan Jenkins, Christopher J. O'Leary, Aaron Sojourner

Upjohn Institute Technical Reports

No abstract provided.


Low-Energy Multiphoton Scattering At Tree-Level And One-Loop Order In A Homogeneous Electromagnetic Field, James Edwards, Ivan Ahumada Hernandez, Patrick Copinger Nov 2025

Low-Energy Multiphoton Scattering At Tree-Level And One-Loop Order In A Homogeneous Electromagnetic Field, James Edwards, Ivan Ahumada Hernandez, Patrick Copinger

School of Engineering, Computing and Mathematics

We study low energy photons coupled to scalar and spinor matter in the presence of an arbitrary homogeneous electromagnetic field in a first-quantized (worldline) approach. Utilizing a Fock-Schwinger gauge for both the scattering photons and homogeneous background, simple compact expressions are found for both the photon- and background-dressed effective action and propagator in scalar and spinor quantum electrodynamics. The low-energy limit allows identification of the coupling of the scattering photons as one of an effective homogeneous superposition of their field strengths, with amplitudes following from application of a suitable linearization operator. To treat the linearization, several techniques are employed, including …


Spatial–Temporal Deep Learning For Electric-Vehicle Charging Demand: An Exploratory Study Of Graph Convolutional And Lstm Networks Performance, Maher Alaraj, Carla Martins, Mohammed Radi, Mohamed Darwish, Munir Majdalawieh Nov 2025

Spatial–Temporal Deep Learning For Electric-Vehicle Charging Demand: An Exploratory Study Of Graph Convolutional And Lstm Networks Performance, Maher Alaraj, Carla Martins, Mohammed Radi, Mohamed Darwish, Munir Majdalawieh

All Works

Electric-vehicle (EV) charging is a localized, time-varying load that challenges distribution networks. This study offers practical insights into when spatial graph structure adds value beyond temporal context, utilizing real-world data and a transparent evaluation. We compare Long Short-Term Memory (LSTM) and Graph Convolutional Network (GCN) models for hourly EV-charging energy forecasting, based on 145,778 sessions recorded in Boulder, Colorado (2018–2023). After preprocessing and temporal alignment, temporal covariates (hour, day, month, year) and, when applicable, ZIP-code indicators were engineered. LSTMs were trained with 1 h and 24 h input windows, with or without ZIP features, and evaluated through 5-fold cross-validation. GCNs …


Career Interest And Work Values Of Online Filipino Psychology Graduates: Basis For Retention Program, Henmar C. Cardiño, Erwin B. Sario, Rommel P. Sergio Nov 2025

Career Interest And Work Values Of Online Filipino Psychology Graduates: Basis For Retention Program, Henmar C. Cardiño, Erwin B. Sario, Rommel P. Sergio

Social Sciences and Development Review

The main objective of the study is to evaluate the significant association between career interests and workplace values among Filipino online psychology graduates in 2022 and to provide retention strategies for diverse organizations. The study’s goal was to identify the gap between the participants’ career interests and their work values and offer possible retention programs to bridge the gap. The researcher employed a quantitative correlational research design and utilized two research instruments, the RIASEC Test by John L. Holland and the Work Values Inventory by Ronald E. Super, to measure career interest and work values, respectively. In August 2022, a …


Constraints On Axionlike Particles From Veritas Observations Of A Flaring Radio Galaxy In The Perseus Cluster, Avery Archer, C. B. Adams, P. Bangale, J. T. Bartkoske, W. Benbow, J. L. Christiansen, A. J. Chromey, A. Duerr Nov 2025

Constraints On Axionlike Particles From Veritas Observations Of A Flaring Radio Galaxy In The Perseus Cluster, Avery Archer, C. B. Adams, P. Bangale, J. T. Bartkoske, W. Benbow, J. L. Christiansen, A. J. Chromey, A. Duerr

Physics & Astronomy Faculty publications

Axion-like particles (ALPs) are hypothetical particles that emerge in numerous theoretical extensions to the Standard Model. Their coupling to electromagnetic field implies that ALPs would mix with photons in the presence of external magnetic fields. As ALP phenomenology is governed by the mass and strength of its coupling, there is a subset of this parameter space in which this mixing would be expected to leave an imprint on the spectra of TeV γ-ray sources. In 2017, the VERITAS γ-ray observatory recorded the second day of a dramatic flare of the radio galaxy NGC 1275, embedded at the center of the …


Between Sovereignty And Commons: Legal Frameworks For Digital Data Governance In India, Anushka Sachan Nov 2025

Between Sovereignty And Commons: Legal Frameworks For Digital Data Governance In India, Anushka Sachan

Journal of Law and Public Policy

This legislative note critically examines the Indian Digital Personal Data Protection (DPDP) Act, 2023, with a focus on its provisions that imply data sovereignty and their implications for the governance of digital commons. Drawing on the seminal works on data commons, the note explores the conceptual and practical tensions between centralised data sovereignty, participatory, and decentralised models of data stewardship. While data sovereignty is often justified on grounds of national security and control, it may inadvertently hinder the development of inclusive and accountable frameworks for managing data as a public good.


Revisiting The Meaning Of 'Forests'—In Re: T.N. Godavarman Thirumulpad V Uoi, Gayathri D. Naik Nov 2025

Revisiting The Meaning Of 'Forests'—In Re: T.N. Godavarman Thirumulpad V Uoi, Gayathri D. Naik

Journal of Law and Public Policy

This Case Comment reflects on the contributions of the judiciary to forest governance and management through the use of continuous mandamus in the landmark case T.N. Godavarman v UoI. It offers insights into these contributions, particularly an expansion of the understanding of ‘forests’, by examining the latest judicial decision in the Godavarman series, which was on the protection of sacred groves in Rajasthan. The expansion of the definition of ‘forests’ to include sacred groves can help accord the protection and ensure the preservation of these small forest lands with rich biodiversity and religious and cultural significance.


Global Sounds, Department Of Music, University Of Richmond Nov 2025

Global Sounds, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.


Shu World Review- November 23rd 2025, Diplolab Nov 2025

Shu World Review- November 23rd 2025, Diplolab

SHU World Review

No abstract provided.


Modulation Of The Semi-Annual Oscillation By Stratospheric Sudden Warmings As Seen In The High-Altitude Jawara Re-Analyses, Jiarong Zhang, Yvan Orsolini, Kaoru Sato Nov 2025

Modulation Of The Semi-Annual Oscillation By Stratospheric Sudden Warmings As Seen In The High-Altitude Jawara Re-Analyses, Jiarong Zhang, Yvan Orsolini, Kaoru Sato

All Physics Faculty Publications

The semi-annual oscillation (SAO) dominates seasonal variability in the equatorial stratosphere and mesosphere. However, the seasonally dependent modulation of the SAO in the stratosphere (SSAO) and mesosphere (MSAO) by sudden stratospheric warmings (SSWs) in the Arctic has not been investigated in detail. In this study, we examine the seasonal evolution of the SAO during 16 major SSW events spanning 2004 to 2024 using the Japanese Atmospheric General Circulation Model for Upper Atmosphere Research Data Assimilation System Whole Neutral Atmosphere Re-analysis (JAWARA). Basic features of the SAO are well captured by JAWARA, as evidenced by the SSAO and MSAO appearing at …


Immigration And The U.S. Economy Under Obama And Trump, Eliz Gevorgian Nov 2025

Immigration And The U.S. Economy Under Obama And Trump, Eliz Gevorgian

Political Science Student Research

This paper examines the economic effects of the United States' immigration policy under President Barack Obama and President Donald Trump. Between 2009 and 2017, the Obama administration introduced programs such as Deferred Action for Childhood Arrivals (DACA) and expanded access to student and work visas. These actions coincided with steady GDP growth averaging about 2 percent per year and a decline in unemployment from 9.9 percent in 2009 to 4.7 percent in 2016. The Trump administration, in office from 2017 to 2021, implemented more restrictive immigration measures, including the 2017 travel ban, reduced refugee admissions, increased H1B visa scrutiny, and …


Exploring The Recognition Of Internalizing Problems Among Black Students: Delving Into The Youth Mental Health Help-Seeking Pathway, Marketta A. Adams Nov 2025

Exploring The Recognition Of Internalizing Problems Among Black Students: Delving Into The Youth Mental Health Help-Seeking Pathway, Marketta A. Adams

LSU Master's Theses

The mental health of Black adolescents is a growing concern, with high prevalence rates of internalizing disorders such as anxiety and depression. National studies report that nearly 47% of Black adolescents experience a mental health disorder by age 18, with over 60% reporting moderate to severe depressive symptomology. Despite these alarming rates, Black youth underutilize mental health services, often due to cultural stigma, limited access to culturally competent care, and under-recognition of their mental health needs. This study aimed to explore problem recognition as a key component in the mental health help-seeking pathway for Black adolescents in school settings. Grounded …


“What Are We And What’S Coming Next?”: Queer People’S Experiences During Sociopolitical Unrest In The Us, Ariana Cristal Morales Nov 2025

“What Are We And What’S Coming Next?”: Queer People’S Experiences During Sociopolitical Unrest In The Us, Ariana Cristal Morales

Master's Theses

Queer (lesbian, gay, bisexual, transgender, queer, or other gender and sexual identities) folx have become a major focal point during political elections. As political climates have projected forced attacks towards queer populations, society has followed suit. Investigation on the impacts of such changes towards queer folx is important to uncover, as sociopolitical climates have shifted within the last 10 years in the US. The present study utilizes a phenomenological framework to understand the lived experiences of queer participants living in the US from 2015-2025 during political and social shifts. Semi-structured interviews were utilized to explore 10 queer participant’s lived experience …


War Abstracted, Jay Hatfield Nov 2025

War Abstracted, Jay Hatfield

Electronic Theses and Dissertations 2020 - Present

War Abstracted is an exhibition in response to the devastation of war. The body of work encapsulates three years of artistic exploration at Florida Atlantic University. The exhibit is a reaction to contemporary conflicts, both global and domestic. It is neither a glorification nor a condemnation of war. The exhibition reflects my experience as a Marine Corps Scout during the Gulf War, the challenges of reintegrating into society with post-traumatic stress disorder (PTSD), and uncertainty. It also engages broader themes of global warming and gun violence. Through a diverse range of materials, methods, and presentations, the work navigates personal and …


Sustained Cellular Survival Amid Amyloid Beta (Aβ) Burden, Giselle Shim Nov 2025

Sustained Cellular Survival Amid Amyloid Beta (Aβ) Burden, Giselle Shim

Electronic Theses and Dissertations 2020 - Present

Amyloid beta (Aβ) accumulation is a hallmark of Alzheimer’s disease (AD), persisting in the brain for years. Despite its neurotoxic potential, widespread neuronal death is not consistently observed. Histopathological analysis indicates that most neurons remain viable, suggesting an altered survival state under chronic Aβ burden. This study integrates clinical, imaging, and in vitro evidence to characterize this non-lethal state. FDG-PET imaging reveals reduced glucose metabolism. In vitro, Aβ exposure leads to decreased uptake of glucose and amino acids. Reductions in ATP levels and AMPK activity indicate impaired metabolic regulation. Despite these metabolic disruptions, cell death is not observed, implying a …


Profiling Tumour-Infiltrating Immune Cells In A Large Paediatric Medulloblastoma Cohort: A Retrospective Analysis, Mingze Chen, Xiangjun Shi, Yi Wang, Jiao Zhang, Jirong Guo, Xiuchen Guan, Yu Sun, Wenhao Wu, Chunde Li, Yongji Tian, Yunwei Ou, Tian Li, Kai Jiang, Michael D Taylor, Xuebin Liao, Liwei Zhang, Tao Sun Nov 2025

Profiling Tumour-Infiltrating Immune Cells In A Large Paediatric Medulloblastoma Cohort: A Retrospective Analysis, Mingze Chen, Xiangjun Shi, Yi Wang, Jiao Zhang, Jirong Guo, Xiuchen Guan, Yu Sun, Wenhao Wu, Chunde Li, Yongji Tian, Yunwei Ou, Tian Li, Kai Jiang, Michael D Taylor, Xuebin Liao, Liwei Zhang, Tao Sun

Faculty, Staff and Students Publications

Background: Tumour-infiltrating immune cells exert both pro-tumour and anti-tumour effects on intracranial tumours. In this study, we investigated the prognostic value of various infiltrating immune cells in medulloblastoma (MB) within a large cohort.

Methods: We employed multiplex immunofluorescent (mIF) staining of tissue microarrays to assess the densities of T cells, B cells, NK cells, macrophages, and immune checkpoints in tumour samples from 249 primary paediatric patients with primary MB. Overall survival (OS) analysis, progression-free survival (PFS), and Cox regression analyses were utilised to explore potential relationships between immune cell densities and survival outcomes. Subsequently, multivariate Cox regression was validated using …


Shepherding In France: The Ambiguities Of Caring For Nonhuman Animals In The Roya Valley, France, Daina Pupkevičiūtė Nov 2025

Shepherding In France: The Ambiguities Of Caring For Nonhuman Animals In The Roya Valley, France, Daina Pupkevičiūtė

Journal of Ecological Anthropology

F

For over half a century, wolves in France were extinct. In the absence of predators, the shepherds became accustomed to leaving the sheep roaming freely in the mountains in relative safety. However, at the end of the 1980s, wolves returned, resulting in many victims, conflicts, and a stark division between those either for or against the wolf or otherwise sometimes framed as those against or for the survival of the mountain pastoralism tradition. This text looks at the caring relationships humans, such as shepherds, villagers, and others, have towards sheep, wolves, and the landscape in the Roya Valley in …


The Influence Of Russian Folklore On Perceptions Of Female Heroism, Mariia V. Subbotina Nov 2025

The Influence Of Russian Folklore On Perceptions Of Female Heroism, Mariia V. Subbotina

Heroism Science

This article examines how Russian folklore traditions have shaped cultural perceptions of female heroism. The study addresses the limited attention given to gendered aspects of heroism, particularly “female” models, which are often linked to self-sacrifice and resilience, in contrast to “male” heroism associated with physical strength and risk. As the first stage of a larger project, this research aims to introduce the issue and identify key archetypes of female heroism. Based on an analysis of A.N. Afanasyev’s collection of fairy tales, three central archetypes of active heroines are identified: the Warrior Woman (Marya Morevna), the Wise Maiden/Enchantress (Vasilisa the Beautiful), …


Wagner & Kong Duo, Department Of Music, University Of Richmond Nov 2025

Wagner & Kong Duo, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.


Masthead, Cleveland State Journal Of Law And Health Nov 2025

Masthead, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.


Table Of Contents, Cleveland State Journal Of Law And Health Nov 2025

Table Of Contents, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.


2025 - The Sixth Annual Fall Symposium Of Student Scholars Nov 2025

2025 - The Sixth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2025 Symposium of Student Scholars, held in November 2025. Includes abstracts from the presentations and posters.


Factfinders For Patient Safety: Minimizing Complications In Radiofrequency Neurotomy: Part I-Implantable Devices; Part Ii-Preprocedural Bvnrfn Imaging, David Hao, Gerald Yeung, Haewon Lee, Zheyan Chen, Ben Laplante, Paul Kitei, Reza Ehsanian, David Levi Nov 2025

Factfinders For Patient Safety: Minimizing Complications In Radiofrequency Neurotomy: Part I-Implantable Devices; Part Ii-Preprocedural Bvnrfn Imaging, David Hao, Gerald Yeung, Haewon Lee, Zheyan Chen, Ben Laplante, Paul Kitei, Reza Ehsanian, David Levi

Moss-Magee Rehabilitation Papers

This series of FactFinders presents a brief summary of the evidence and outlines recommendations regarding minimizing risks with radiofrequency neurotomy procedures. The evidence in support of the following facts is presented: (1) While data on the safety of radiofrequency neurotomy in patients with implanted devices are limited, the procedure can likely be performed safely with careful adherence to best practices and manufacturer recommendations. (2) Basivertebral nerve radiofrequency neurotomy can be performed safely and effectively at the L3 through S1 vertebral levels. Scrutiny of preprocedural imaging may minimize risk. Although the transpedicular approach is preferred, patient anatomy may dictate a non-transpedicular …


Fish-Spec: Fast Identification System For Handheld Spectroscopy And Species Classification, Mitchell Sueker, Nicholas Mackinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamid Reza Marateb, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh Nov 2025

Fish-Spec: Fast Identification System For Handheld Spectroscopy And Species Classification, Mitchell Sueker, Nicholas Mackinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamid Reza Marateb, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh

Food Science Faculty Articles and Research

Accurate fish species identification is critical to prevent mislabeling and fraud in the seafood industry. We present a handheld multi-mode point spectroscopy system that combines fluorescence (365 and 395 nm excitation) and reflectance measurements in the visible to near-infrared (∼350–900 nm) and short-wave infrared (∼900–1700 nm) regions for rapid, non-destructive classification of fish fillets. Tissue spectra were acquired at 25 positions on 68 fillets from 11 species, in both frozen and thawed states. Feature-level fusion across all four modes enabled higher classification accuracy than any single mode alone. A global machine-learning model classified all species with 85 ± 2.8 %, …