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Pharmacological Potential Of Pomelo (Citrus Maxima) Peel: A Bibliometric Review Of Global Research Trends And Future Directions, Indah Zunita Sari, Alma Nur Azizah, Fitriana Nur Hanifah, David Fernando, Agung Endro Nugroho, Abdul Rohman

Journal of Food and Drug Analysis

Pomelo (Citrus maxima) is a widely cultivated tropical fruit with global production reaching approximately 8.55 million tons in 2023. This large-scale production generates a substantial amount of peel waste despite the fact that pomelo peel contains secondary metabolites with promising pharmacological potential. This study aimed to evaluate global research trends related to the pharmacological potential of pomelo peel using a bibliometric and review-based approach, as well as to identify future research directions. Data were collected from the Scopus database and filtered for English-language scientific articles, reviews, and conference proceedings. The analysis was performed using the Biblioshiny and VOSviewer …

Plant By-Products As A Valuble Source Of Natural Antiglycemic Compounds: Economic Aspects And Alternative Raw Material Sources, Tatjana Đorđević, Jelena Vujetić, Isidora Dickov, Diandra Pintać Šarac

Journal of Food and Drug Analysis

Plant by-products, often considered as waste in various agricultural and food processing industries, have emerged as a valuable source of natural antidiabetic or antihyperglycemic compounds. These compounds, derived from plant materials that would otherwise be discarded, have the potential to mitigate the global burden of diabetes and offer sustainable solutions for glycemic control. Prominent groups of natural antidiabetic compounds found in plant by-products are polyphenols, as well as bioactive proteins and peptides. In addition, agro-industrial residues such as wheat bran, oat husks, and fruit peels are excellent sources of carbohydrates that can be incorporated into functional foods to help manage …

Emerging Antifungal Strategies Against Candida Albicans Using Metal–Organic Frameworks And Novel Therapeutics: Opportunities And Challenges, Amanpreet Singh, Sandeep Kumar, Sehrabpreet Singh, Jeewanjot Singh

Journal of Food and Drug Analysis

Candida albicans is an opportunistic fungal pathogen responsible for infections ranging from superficial mucosal disease to life-threatening systemic candidiasis, particularly in immunocompromised hosts. Its pathogenicity is enhanced by morphological plasticity, biofilm formation, and immune evasion, contributing to antifungal resistance. Limitations of existing antifungals have driven interest in emerging therapeutics. This review highlights strategies including metal–organic frameworks (MOFs), host-directed therapies (HDTs), CRISPR-Cas9 gene editing, and phytochemicals. MOFs offer high drug-loading capacity, controlled release, and enhanced penetration into biofilms, showing promise against drug-resistant strains. Selected phytochemicals demonstrate inhibitory effects on virulence traits such as hyphal formation and enzyme secretion. CRISPR-Cas9 …

An Optical Fiber Caffeine Sensor Using A Molecularly Imprinted Polymethacrylic Acid Membrane Coated On Optical Fiber Surface As A Transducer, Josiah W. Miller, Jason D. Mccaslin, Shiquan Tao

Journal of Food and Drug Analysis

Caffeine is a neurotransmitter, important to human health. This compound exists in many food products, has been added to soft drinks, pharmaceutical drugs. For many applications, a field deployable technique for quick detecting caffeine is attractive. In this paper, we report a selective optical fiber caffeine sensor using a molecularly imprinted polymer (MIP) membrane as a transducer. The membrane extracts/concentrate caffeine from sample solutions significantly improved sensor’s sensitivity with a 95 times sensitivity improvement. The sensor achieved a detection limit of 0.20 µg/mL. This sensor was used to directly analyze caffeine in soft drink products without interference from sample matrix.

Ai Adoption And Organizational Resilience In Turbulent Environments: The Mediating Role Of Employee Digital Literacy And The Moderating Role Of Innovation-Supportive Climate In The Iraqi Hospitality Sector, Hasan Mutashar Gbouri

Arab Economic and Business Journal

This study examines whether adopting artificial intelligence (AI) strengthens organizational resilience when the operating environment is hostile, and identifies the internal conditions an organization must satisfy before an AI investment translates into resilience. Two mechanisms anchor the argument: employee digital literacy, which carries the effect, and an innovation-supportive climate, which conditions it. We surveyed 400 employees across three premium hotels in Baghdad, Iraq, sampled by operational level, and tested the model with structural equation modeling in AMOS 26.0. The results show that AI adoption alone yields only a modest direct gain in resilience. Slightly more than half of its total …

Image Fusion Based On Deep Learning With Different Locations And Sizes Of Objects, Baneen Al-Kalabi, Tawfiq Al-Assadi

Journal of Intelligent Informatics, Networking, and Cybersecurity

Multi-focus image fusion combines partially focused images into a single all-in-focus composite. Existing object-based methods assume precise spatial and scale alignment across source images, an assumption that frequently fails in Misaligned Multi-Focus Dataset scenarios due to camera displacement and focal length variation. This paper proposes a novel training-free, object-aware fusion framework to address this limitation through a five-stage pipeline: YOLOv8x detection, SAM2-L segmentation, LoFTR correspondence matching, a novel Scale-Aware Area Resize Algorithm, and GLCM-guided MSB/LSB bit-level fusion. The framework was evaluated on the EDMF benchmark (20 image pairs, synthetically modified to simulate Misaligned Multi-Focus Dataset shifts) and a Misaligned Multi-Focus …

Lossless Medical Image Compression Using Integer Discrete Wavelet Transform With Adaptive Subband Differencing And Context-Adaptive Entropy Coding, Rasha F. Nadhim, Ibrahim Adel Ibrahim, Ashwaq T. Hashim

Journal of Intelligent Informatics, Networking, and Cybersecurity

From transform-domain decorrelation and adaptive entropy coding, we propose a method for efficient lossless compression of medical images in this work. We implement the Integer Discrete Wavelet Transform (IDWT) to decompose the input image into four subbands of LL, LH, HL, HH, encompassing approximation and directional detail elements, in the initial implementation. It also removes spatial redundancy in image information and decomposes image information into a less correlated and more sparsely distributed set of coefficients. To decrease redundancy further, it proposes a subband-dependent differencing scheme, which decorrelates neighbouring wavelet coefficients with directional prediction. So horizontal differencing is done on LH, …

A Blockchain-Integrated Federated Learning Model And Autoencoder-Based Feature Reduction For Improving Iot Intrusion Detection, Tahseen A. Wotaifi

Journal of Intelligent Informatics, Networking, and Cybersecurity

The rapid growth of Internet of Things (IoT) environments has brought forth a wealth of security challenges in detecting network intrusions in diverse and resource-restricted systems. Privacy, scalability, and single point of failure issues plague traditional centralized intrusion detection solutions. To address these challenges, the study proposes a secure and adaptive intrusion detection model using Federated Learning (FL) and Blockchain, augmented with autoencoder-based feature reduction. The ToN-IoT dataset is pre-processed, and then an unsupervised autoencoder is used to build informative low-dimensional feature representations. The processed data is deployed to various clients to mimic a real federated situation. Every client will …

A Dual- Task Hierarchical Graph Attention Network For Protein-Protein Interaction Sites Prediction, Oras A. Hussein, Eman S. Al-Shamery

Journal of Intelligent Informatics, Networking, and Cybersecurity

In computational structural biology, it is still very hard to accurately find protein-protein interaction (PPI) sites and estimate how strong the interaction would be. In this research, we provide an innovative two-stage deep learning framework that combines residue-level graph representation learning with protein-level regression to achieve a thorough modeling of protein interactions. Protein structures first encoded as residue graphs, with nodes that stand for amino acids and edges that show how close they are to each other in space. To find binding residues, a deep residual Graph Attention Network v2 (GATv2) uses multi-head attention, residual connections, and Jumping Knowledge aggregation …

Candida Albicans Purulent Pericarditis Complicated By Cardiac Tamponade In A Critically Ill Burn Patient: A Case Report, Mutaz Althobaiti, Abdulrahman Alqahtani, Faisal Alanazi, Mohammad S. Alotaibi, Ibrahim Bahabri, Shikah Alsuwaid, Turki Almutairi, Fawaz Almutairi

Journal of the Saudi Heart Association

Candida pericarditis is a rare, life-threatening complication of invasive candidiasis, associated with high mortality.

We report this case of a young woman with 60% body surface area burn, multidrug-resistant polymicrobial sepsis, and multiorgan failure who developed Candida albicans pericarditis complicated by cardiac tamponade. Despite urgent pericardiocentesis and escalation of antifungal therapy, she ultimately progressed to refractory shock and multiorgan failure.

This case illustrates the diagnostic challenge and therapeutic limitations of fungal pericarditis in critically ill host, and underscores the importance of maintaining a high index of suspicion in burn patients with multisite Candida colonization and prolonged antibiotic exposure.

When Auditors Trust Ai: A Qualitative Study Of Professional Judgment, Data Quality, And Adoption Barriers In Lebanon, Joseph Serghani

Arab Economic and Business Journal

This study explores auditors’ trust in AI in a limited-resource and turbulent context, namely Lebanon. Using semi-structured interviews with 14 junior and senior auditors in Lebanon, this study identifies the factors that make auditors either willing or unwilling to trust in AI-powered audit processes. The results indicate that auditors perceive the potential benefits of AI, such as increased speed, capacity, and ability to detect anomalies. Yet, trust in AI is limited by concerns about implementation costs, the erosion of professional judgment, blockchain complexity, data overload, and reliance on high-quality data. Instead of excluding AI from the equation, auditors perceive it …

Between Tradition And Profession: Intersectionality Of Javanese Women Journalists In Surakarta’S Newsroom, Rahman Hakim, Vanggi Eka Riski

JURNAL KOMUNIKASI INDONESIA

Javanese female journalists in Surakarta navigate the simultaneous pressures of professional journalism and deeply internalised Javanese cultural values such as nrimo (acceptance of one’s circumstances), andhap asor (humble and deferential conduct), and tepa selira (attentiveness to the feeling of others). These values shape their everyday conduct in the newsroom yet often remain unacknowledged in existing literature. Combining Intersectionality Theory, Face-Negotiation Theory (Ting-Toomey), and Self Theory (Rogers) as complementary frameworks, this qualitative study adopts a constructivist paradigm and employ phenomenological method to explore how female journalists make sense of the intersection between gender norms and local cultural values. Data were collected …

Food For Thought: Evaluating The Mind Diet’S Impact On Cognitive Decline, Alayna Pleckham

Summer Interdisciplinary Research Symposium

Objective: 

This paper aims to analyze current research and outcomes of the MIND diet on preventing and slowing neurocognitive decline in adults with dementia and Alzheimer’s disease. A literature review was conducted to evaluate the correlation between the MIND diet and slowed neurodegenerative disease through structural change, transcriptomics, biomarkers, and cognitive function testing.

Methods:

A narrative literature review was conducted using Google Scholar, PubMed, and JAMA to identify studies published between 2020 and 2025 examining the MIND diet and cognitive outcomes in adults with Alzheimer’s disease or dementia. Studies using validated cognitive assessments and comparison groups were included, while studies …

“Beyond Weight Loss: Evaluating The Anti-Inflammatory Potential Of Glp-1 Receptor Agonists In Hidradenitis Suppurativa”, Lindsey Roos

Summer Interdisciplinary Research Symposium

Objective: The purpose of this narrative literature review was to evaluate the role of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) as adjunctive therapy in adults with moderate-to-severe Hidradenitis suppurativa (HS). The clinical question explored whether GLP-1 RAs improve disease severity, flare frequency, quality of life, and metabolic outcomes in patients with obesity or metabolic dysfunction.

Methods: A literature review was conducted using Google Scholar, PubMed Central, Christopher Center Library, NIH resources, Research Rabbit, and JAMA Dermatology. Studies published from 2019 to 2025 were reviewed. Inclusion criteria included adults with clinically confirmed moderate-to-severe HS (Hurley stage II–III), measurable baseline disease severity, …

Cognitive Impairment In Heart Failure: Implications For Clinical Practice And Patient Care, Shiya Kamra

Summer Interdisciplinary Research Symposium

Objective: The purpose of this literature review was to evaluate whether adults with heart failure, compared with adults without heart failure, have an increased risk of cognitive impairment and dementia.

Methods: A narrative literature review used Google Scholar to identify studies evaluating cognitive outcomes in adults with congestive heart failure. Inclusion criteria: English-language full-text articles published since 2020, with one 2018 longitudinal study also selected due to its strong methodology. Studies involving pediatric populations or lacking cognitive outcomes were excluded. Five studies met the inclusion criteria.

Results: The review included three systematic reviews/meta-analyses, one cross-sectional study, and one longitudinal cohort …

Evaluating Academic Outcomes In Healthcare Students: Hybrid Learning Compared To Traditional Instruction, Amanda Willy

Summer Interdisciplinary Research Symposium

Objective

The goal of this study was to evaluate academic performance of students in professional healthcare programs utilizing hybrid learning compared to traditional in-person instruction.

Methods

A narrative literature review using Google Scholar was conducted to identify relevant studies. Inclusion criteria consisted of publication since 2019, English full text, and a focus on students in healthcare education programs participating in hybrid or distance learning models. The primary outcomes were measures of academic performance including test scores and board examination pass rates.

Results

Data regarding board pass rates were significantly limited by a lack of statistical analysis. Raw data on hybrid …

Upright: Zheng 正 And The Semantics Of Political Legitimacy, Kaz Wegmuller

Open Educational Resources

This article examines the semantic structure of the left-right political binary in contemporary Anglophone discourse. It argues that the fusion of “right” as directional orientation with “right” as moral correctness produces a form of semantic over-determination that complicates the articulation of democratic legitimacy in periods of political crisis. The claim is not that directional metaphors determine political outcomes, but that they furnish a discursive resource that can be mobilized in struggles over authority, order, and rectitude. To illuminate the contingency of this fusion, the article turns to the East Asian concept of zheng 正 (uprightness), whose semantic independence from handedness …

Entrepreneurship Ecosystems, Desire, And Convergence, Kyle Scott

Journal of Business & Entrepreneurship

Entrepreneurship ecosystem research explains convergence through mechanisms such as informational cascades, institutional isomorphism, herding, clustering, and knowledge spillovers. While these perspectives account for how convergence occurs, they provide a more limited explanation of why entrepreneurs, investors, and other ecosystem participants come to pursue the same ventures, industries, and measures of success. This paper argues that convergence reflects the social mediation of desire. Drawing on René Girard's theory of mimetic desire, it develops a conceptual framework explaining how entrepreneurial desire becomes aligned within shared evaluative environments. The paper advances three propositions. First, ecosystems characterized by evaluative monism are more likely to …

Stakeholder Perceptions Of Artificial Intelligence In The Indonesian Film Industry, Louisa Christine Hartanto, Patrisia Amanda Pascarina, Cosmas Gatot Haryono

JURNAL KOMUNIKASI INDONESIA

This study explores how stakeholders in the Indonesian film industry perceive the emergence and use of artificial intelligence (AI). Framed by Roger's Diffusion of Innovation theory, this study explores how artificial intelligence (AI) is positioned as an emergent technological innovation, spreading via communication channels across the film industry's social ecosystem. This approach illuminates how distinct categories of adopters collectively construct the meaning of AI and shape their varied responses to its encroachment on creative labour. Employing a qualitative descriptive approach, the study draws on data from two Focus Group Discussions involving directors, actors, government experts, academics, emerging filmmakers, students, and …

Staying Relevant: Radio’S Shift Toward Gen Z’S Listening Habits, Rocky Prasetyo Jati

JURNAL KOMUNIKASI INDONESIA

The digital transformation of media has reshaped audio consumption and challenged traditional radio to stay relevant, particularly among Generation Z, the digital-native cohort. This article examines how community and hyperlocal radio stations are adapting to shifting media dynamics by combining conventional broadcasting with digital innovations. The study employs qualitative methods. As Gen Z prefers flexible, personalized, and on-demand content, radio stations are repositioning broadcasters as multi-platform content creators and online community managers. Adaptation strategies include integrating radio with visually oriented social media platforms, offering curated playlists, and adopting participatory models such as digital tipping (saweran). Radio stations are …

Metropolitan Public School Counselors’ Perceptions On Implementing The Ohio K–3 Social And Emotional Learning Standards, Sharon Johnson

Walden Dissertations and Doctoral Studies

In 2019, the Ohio Department of Education adopted K–12 Social and Emotional Learning (SEL) standards to support students’ emotional, behavioral, and academic development; however, the problem is that implementation remains optional across districts, resulting in variability in school counselors’ access and consistency. Although SEL implementation has been examined in educational settings, there is a gap due to a lack of available research that have explored metropolitan K-3 public school counselors’ lived experiences implementing the Ohio K-3 SEL standards. The purpose of this transcendental phenomenological study was to explore metropolitan K-3 public school counselors lived experiences implementing the Ohio K-3 SEL …

Enhancing Resilience For Well-Being To Reduce Health Inequity In Global Nursing Professionals, Fiona Yu, Deborah Raphael, Lisa Mackay, Melody Smith, Ritin Santiago Fernandez

International Nursing Research Congress (INRC)

Nurses, as the largest population in the healthcare service, play a critical role in achieving global health equity to sustain the health of the entire population (1). They are key when providing care in health promotion, disease prevention, treatment, and rehabilitation across diverse populations and clinical settings (2). However, nurses face significant challenges, and the COVID-19 pandemic has exacerbated their situations. Specifically, nursing shortages have a significant impact on frontline nurses, contributing to a heavy workload and unsafe practice, and placing them at a high risk of burnout, stress, fatigue, and ill health, thereby increasing turnover (3, 4).

Research shows …

Prevalence And Risk Factor Of Chronic Illnesses Among Staff Attending Employee Wellness Clinic, Elham Mansour Alsanea

International Nursing Research Congress (INRC)

Background: Chronic diseases (CDs) such as hypertension, diabetes, dyslipidemia, and obesity represent a major public health concern globally and nationally. In Saudi Arabia, one-third of adults are affected, and the economic cost exceeds $24 billion annually. Despite ongoing national efforts, limited evidence exists regarding the prevalence and risk profile of chronic diseases among healthcare workers (HCWs)—a group exposed to unique occupational stressors and lifestyle risks.

Aim: This study aimed to assess the prevalence of chronic diseases, modifiable risk factors, and preventive screening uptake among HCWs attending the Virtual Employee Wellness Clinic at King Faisal Specialist Hospital and Research Centre – …

Vincent Mosco ¡Presente! A Personal And Professional Chronicle, Gerald Sussman

Urban Studies and Planning Faculty Publications and Presentations

This essay discusses the work of Vincent Mosco, presenting a brief historiographic analysis of his ideas, and describing how he in turn influenced my writing (and many others) and the course of my academic career. Within the text and references, I cite core ideas and key works of Herbert Schiller, Dallas Smythe and Mosco, all of whom were leaders in the field of critical communication research, Mosco belonging to the second generation of neo-Marxist scholars in the field. I also cite my own publications that flowed from the influence of these foundational thinkers and discuss the small contributions I’ve had …

A Professional Development Course On Data-Driven Dynamical Systems At A Primarily Undergraduate Institution - Part B: Professional Development Framework And Institutional Implementation, Alessandro M. Selvitella, Jeffrey R. Anderson

CODEE Journal

This paper presents the professional-development and institutional-implementation component of a three-paper program on introducing data-driven dynamical systems into undergraduate ordinary differential equations instruction at a primarily undergraduate institution. The companion paper \cite{SelvitellaAnderson2026} develops the mathematical and computational content, including regression, regularization, Dynamic Mode Decomposition, Sparse Identification of Nonlinear Dynamics, and a Van der Pol oscillator activity. The present paper asks a complementary implementation question: what departmental structures, graduate teaching assistant roles, professional-development activities, and course-support pathways are needed for such materials to become teachable within local undergraduate settings?

We describe a three-phase professional-development model for graduate teaching assistants in the …

Reliability And Validity Of A Spiritual Health Scale For Older Adults In Long-Term Care Facilities, Kuan-Pei Lee, Ya-Lie Ku

International Nursing Research Congress (INRC)

Purpose: This study aimed to develop a Spiritual Health Scale designed for elderly residents in LTC facilities and to establish the reliability and validity of the instrument.

Methods: This study adopted a scale development approach. Based on the Elderly Spiritual Health Scale by Li and Shih (2021), the researchers integrated additional components derived from the conceptual framework to create a revised scale consisting of 16 items distributed across four dimensions—personal, community, environmental, and transcendental—with four items per dimension. A dichotomous scoring system was employed with responses coded as 1 (presence) or 0 (absence) of a spiritual issue scores ranged from …

Sleep And Mood In New Fathers: A Longitudinal Study From Pregnancy To Six Months Postpartum, Hiroko Iwata, Marika Seki, Emi Mori, Kunie Maehara, Kayoko Kimura, Fusae Toyama

International Nursing Research Congress (INRC)

Aims: Parents often experience sleep disturbances during the neonatal period. However, few studies have examined both objective and subjective sleep quality in fathers. The purpose of this study was to characterize men’s sleep quality from pregnancy through 6 months postpartum, and to explore its association with depressive symptoms.

Methods: This prospective observational study was performed in Japan. Men with primiparous partners at greater than 20 weeks gestation were recruited. Sleep was assessed both objectively and subjectively using actigraphy and the Pittsburgh Sleep Quality Index, respectively, and depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale. Data were collected at …

Early Indicators Of Transition To Severe Dependency In Older Adults With Dementia, Kuei-Min Chen, Szu-Yu Chen

International Nursing Research Congress (INRC)

Purpose: Functional assessment plays a critical role in monitoring dementia progression. However, the early identification of individuals who are at risk of rapidly deteriorating into severe functional dependency remains a significant challenge in dementia care. This study aimed to address this issue by examining the association between cognitive impairment and functional ability among older adults with dementia.

Methods: This study employed a cross-sectional survey design, recruiting 258 older adults from 22 adult daycare centers in southern Taiwan. Data collected included demographic characteristics (age, sex, education, marital status, and cohabitation status), chronic diseases, cognitive impairment, psychiatric and behavioral symptoms, and functional …

Predicting The Unpredictable: Nursing Innovation For Early Identification Of Violence Risk, Heather Lynn Watson, Carol B. Thompson, Jihane Frangieh, Medeleine Whalen

International Nursing Research Congress (INRC)

Background: Workplace violence (WPV), including verbal threats and physical assaults, toward healthcare professionals is an escalating threat to workforce safety, well-being, and retention. Although structured tools exist to assess aggression risk, most have been developed for psychiatric or emergency settings, and evidence supporting their validity or consistent use in general inpatient care remains limited. The Violence Risk Assessment (ViRA) is a proactive, nurse-administered, electronic health record (EHR) embedded tool designed to detect early behavioral and historical precursors of verbal or physical violence.

Purpose: To evaluate the reliability, internal consistency, and predictive validity of the 9-item ViRA across diverse inpatient and …

Developing The “Cicare Rainbow Communication” Microlearning System For Lgbtq+ Nursing Education, Mei-Chen Su, Pei-Yun Tseng

International Nursing Research Congress (INRC)

Background: A critical gap persists in global nursing education concerning practical training for communication with gender-diverse individuals. Insufficient preparation contributes to discomfort and miscommunication in clinical interactions, compromising culturally safe and equitable patient care. Addressing this gap requires innovative, evidence-based, and inclusive educational solutions.

Objectives: This study describes the systematic development and initial validation of the CICARE Rainbow Communication system—a digital microlearning intervention designed to enhance nursing students’ competence in communicating with gender-diverse patients.

Design: A multi-phase developmental research design was adopted, encompassing a qualitative needs analysis, system design and development, and expert content validation.

Methods: An initial qualitative study …