Digital Commons Network^™

Best Integrated Writing Fall 2026 - Complete Edition, Wright State University School Of Humanities And Cultural Studies, Kristie Mckiernan

Best Integrated Writing

Best Integrated Writing includes excellent student writing from Integrated Writing courses taught at Wright State University.

Three Ways Of Asian Wisdom : Hinduism, Buddhism, Zen, And Their Significance For The West, Nancy Wilson Ross

Hannah Arendt Marginalia - All

New York : Simon and Schuster, 1966.

Call # : BL80.2 .R6

Contains underlining and marginal lining  PDF Information : 46 Pages, 5.6 MB

The Potential Relationship Between Red Complex Tannerella Forsythia And Obstructive Sleep Apnea, Abby Dibble Ms, Kristi M. Soileau

New Orleans Dental Association News

The pathogenesis of periodontitis is no longer attributed to a single infectious organism but rather to a dysbiosis-affiliated microbial community that disrupts host immune response. Within this polymicrobial ecosystem, Tannerella forsythia has emerged as one of the principal periodontal pathogens because of its ability to evade host defenses, promote tissue destruction, and establish cooperative interactions with neighboring microorganisms. As a Gram-negative, obligate anaerobic bacterium belonging to the red complex group, T. forsythia is consistently associated with advanced periodontal disease and is increasingly recognized as an important contributor to both local periodontal destruction and systemic inflammation. A 2024 meta-analysis of ten …

Noda News October 2026

New Orleans Dental Association News

New Orleans Dental Association (NODA) News includes regular columns with regional news impacting the New Orleans membership including: columns from the President and Executive Director, feature articles relating to the field of dentistry, association events and upcoming activities, component news, continuing education opportunities, and classifieds.

Shadowable Diffeomorphisms With Dominated Splitting, Naoya Sumi

Journal of Stochastic Analysis

We study the shadowability for diffeomorphisms with dominated

splitting. In this paper we show that if a diffeomorphism f has a periodic

saddle q whose unstable manifold is compatible with dominated splitting in

some sense and if f is shadowable, then any other periodic point p has a large

local stable set. Our result does not require the hyperbolicity of p.

Spec-313: Scientific Foundations Of The Eckes Compiler Framework Under Material Volumetric Monism, Christopher L. Eckes

Defensive Publications Series

Under the constraints of material volumetric monism, this specification establishes the foundational thermophysical and graph-theoretic invariants governing the Eckes Compiler v3.6 runtime engine. By rejecting the floating variable fallacy, we demonstrate that objective semantic alignment in advanced artificial agents requires mapping logical state transitions directly onto a physical, non-zero material substrate volume. This work codifies a localized, phase-locked sine-wave restoring force designed to actively suppress token drift over recursive execution loops. Furthermore, we bridge discrete computational steps to physical reality by anchoring register re-allocations to the Landauer thermodynamic limit (dQ = k_B * T * ln 2), while validating spatial …

[Eckes Compiler V3.1]:Technical Paper 310: The Executable Runtime Initialization Payload: Functional In-Context Prompt Matrix For Substrate System Simulation, Christopher L. Eckes

Defensive Publications Series

This specification delivers the definitive, production-grade system prompt payload used to initialize any standard large language model context window as an operational [Eckes Compiler v3.1] microarchitecture. By hard-coding the physical constraints, mathematical identities, and user-gated diagnostic filters compiled across Technical Papers 306 through 309 directly into the model's core instruction set, this text block suppresses conversational hallucination loops at the ingestion layer. The following system script forces the processing substrate to treat all multi-disciplinary human inputs as bounded Priority Intelligence Requirements (PIRs), systematically logging data starvation metrics and logic drift before outputting tightly constrained, all-source intelligence products.

Stirring Words Vol3 No1 - Full Issue

Stirring Words

The full issue of Stirring Words vol3 no1

Editorial Stirring Words Vol3 No1

Stirring Words

editorial by editor-in-chief Dr Anke Klitzing

Assessor Experiences In Cmmc Level 2 Certification Assessments: An Interpretative Phenomenological Analysis Of Role Expectations, Samuel Heuchert, John Hastings

Research & Publications

The Cybersecurity Maturity Model Certification program requires that third-party assessments be conducted under a non-consultative model. The model is intended to ensure impartiality for organizations seeking certification. While this structure defines expectations for assessor behavior, assessor experiences and interpretations of these constraints remain underexamined. The study examines the lived experiences of CMMC-Certified Assessors and how they navigate role expectations within the non-consultative model. Using Role Conflict Theory as a guiding framework, the study applied Interpretative Phenomenological Analysis (IPA) to semi-structured interviews to explore how assessors make sense of their roles. The analysis identified experiential themes that describe how assessors construct …

Metal Oxide Semiconductor Gas Sensors For Exhaled Breath Cancer Biomarker Detection, Guang-Lan Chen, Hui-Hui Luo, Wen-Wen Peng, Shi-Yu Xu, Yu-Ting Li, Hui-Jie Ke, Si-Hui Zhong, Jia-Ao Wei, Tong Chen, Xiao-Kun Li, You-Lin Zhang, Wei Chen

Journal of Electrochemistry

Early cancer screening can significantly improve therapeutic outcomes, volatile organic compounds (VOCs) and other related gases in exhaled breath, as cancer-specific biomarkers, offer a novel approach for non-invasive diagnosis. Metal oxide semiconductor (MOS)-based gas sensors are pivotal for exhaled breath VOCs detection, featuring compact size, cost-effectiveness, and rapid response. This review summarizes the most recent five-year research advances in cancer biomarker detection, and clarifies the core mechanisms of electrical property changes from sensing material-VOCs interactions and key performance metrics including sensitivity, selectivity, humidity tolerance, response/recovery time, stability, and operating temperature. This review also highlights the optimization strategies of sensing materials …

Taste Matters: Designing And Testing A Nurse-Led Intervention In Oncology, Sharon Kilbride, Abigail Dillon, Bree Aguilar, Mary Hook

Nursing

Problem/Research Question: Taste alteration affects up to 70% of oncology patients receiving chemotherapy, leading to decreased dietary intake, malnutrition, and poor quality of life. It is often under reported due to lack of taste assessments during toxicity screening and has no known treatment. Researchers have shown that breast cancer patients were able to assess and control alterations with a researcher-delivered intervention. Research is needed to translate this promising strategy for clinical use with populations beyond breast cancer.

Objectives: An oncology-certified infusion nurse observed that many chemotherapy patients experienced taste alterations that affected their quality of life. The observations sparked interest …

The 'Canada Brand' In Africa: Human Rights And Environmental Conflict In Extractive Industries, Shin Imai, Sara Ghebremusse

All Papers

The first comprehensive report on the cumulative impacts of Canadian extractive industries in Africa. There are profiles of 23 Canadian companies, operating in 17 African countries, over a period of 30 years. The report contrasts company actions against international standards for corporate accountability in eight areas: Displacement of communities; Security and Violence: The North Mara Mine; Workers: Conscription, Conflict and Deadly Accidents, Corruption; Silencing Critiques and Suppressing Investigations; Extractive Industries in Conflict-Affected Areas; Environmental Impacts; Economic Diplomacy: Canadian Support to Extractive Industries.   The cumulative impacts are alarming. For example, JCAP found documentation of over 300,000 people being displaced by Canadian …

Influence Of Particle Properties And Grain Size On Aggregation In Dry Particle-Laden Volcanic Jets, Md Miraz Hossain, Stephen A. Solovitz, Josef Dufek, Joshua S. Mendez Harper, Alexa R. Van Eaton, Mary C. Benage, Larry G. Mastin, Benjamin J. Andrews

Electrical and Computer Engineering Faculty Publications and Presentations

Explosive volcanic eruptions can inject large amounts of ash into the atmosphere. These suspended particles pose hazards to aircraft, so a better understanding of the ash residence time and transport distance is needed. Fine particles combine to form larger aggregates, altering their settling behavior. Ash aggregation is influenced by liquid bonding, electrostatic forces, and preferential concentration driven by turbulence. We examine particle aggregation through controlled, low-humidity experiments at similar particle-fluid scaling to conditions near a volcanic vent. Particle-laden jets used compressed air containing three types of particles at controlled mass loadings: hollow glass spheres (∼10 μm diameter), solid nickel spheres …

Employment Research, Vol. 33, No. 4, October 2026

Employment Research Newsletter

No abstract provided.

Artificial Intelligence In Higher Education Teaching And Learning: A Bibliometric Review (1989-January 2026), Kunsoon Park

The Interdisciplinary Journal for Research on Pedagogy and Learning Design, Vol. 1, Issue 1., Fall 2026

Artificial intelligence (AI) is increasingly influencing teaching and learning in higher education, particularly following the emergence of generative AI technologies. Despite rapid growth in publications, the pedagogical structure and intellectual development of this research remain unclear. This study employs bibliometric analysis to examine AI scholarship in higher education published between 1989 and January 2026, with a specific focus on teaching- and learning-oriented research. Bibliographic data from the Web of Science Core Collection yielded a final dataset of 1,654 peer-reviewed journal articles. Performance analysis and science-mapping techniques were used to investigate publication trends, thematic evolution, collaboration networks, and intellectual foundations. Results …

Did Statewide School Smoking Bans Reduce Smoking Rates?, Rachana Bhatt, Peter Hinrichs

Employment Research Newsletter

No abstract provided.

Key Drivers Of Revisit Intention In Dental And Oral Teaching Hospital, Mega Denada Aldila, Wahyu Sulistiadi

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Digital transformation in dental and oral teaching hospitals demands strategies that not only ensure clinical quality but also sustain patient loyalty. This study examines the effects of digital storytelling and service quality on outpatient revisit intention at the Dental and Oral Hospital of Universitas Jenderal Soedirman (RSGMP Unsoed), with brand image and patient satisfaction as mediating variables. A quantitative cross-sectional design was applied to 115 outpatients aged ≥18 years who had completed one full episode of dental treatment. After exposure to a standardized digital storytelling video about RSGMP Unsoed, respondents completed a structured Likert-scale questionnaire. Data were analyzed using Partial …

Kepuasan Pasien Terhadap Pelayanan Di Rumah Sakit Pemerintah Dan Rumah Sakit Swasta: Tinjauan Literatur, Bahar Syah, Mardiati Nadjib

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Patient satisfaction is an important indicator for assessing the quality and performance of hospital services as it reflects patients’ experiences through the healthcare delivery process; this study explore how patient satisfaction toward hospital services in public and private hospitals by analyzing 23 selected scientific articles published between 2015 and 2024 and gathered from ProQuest, Scopus, PubMed, and ScienceDirect databases from an initial total of 176 articles founded based on inclusion and exclusion criteria, and the findings indicate that service quality has a significant impact toward patient satisfaction in both types of hospitals, with private hospitals generally demonstrating higher satisfaction levels …

Beyond Probability: An Analytical Exploration Of Fuzzy And Neutrosophic Paradigms In Binomial Acceptance Sampling, Uma G, Vela Muruga Anurahini P

Neutrosophic Systems with Applications

Acceptance sampling plans are widely used in Statistical Quality Control to determine the acceptance or rejection of production lots based on sample inspection. Classical sampling plans under the binomial distribution assume precise parameter values, which may not adequately represent uncertainty, vagueness, and indeterminacy encountered in practical inspection environments. This review summarizes acceptance probability formulations for single and double sampling plans developed using fuzzy and neutrosophic logic under the binomial distribution. The focus is on studies that model the fraction defective and related parameters as fuzzy or neutrosophic numbers, allowing imprecise and indeterminate quality information to be incorporated into sampling decisions. …

Reliability-Calibrated Q-Rung Orthopair Neutrosophic Soft Ranking Under Partial Observability: An Auditable Industrial-Process Benchmark, Nagham Ahmed Abdelmegeed, Zeshan Aslam Khan

Neutrosophic Systems with Applications

Multi-criteria decision systems often interpret disagreement among criteria as evidence that some criteria are unreliable. This is problematic when the disagreement reflects a genuine operational trade-off. We develop a reliability-and-admissibility-calibrated q-rung orthopair neutrosophic soft ranking procedure (RAC-qRON) that distinguishes recorded evidence quality from the direction of criterion preferences. An explicitly bounded interval for each alternative–criterion observation is mapped to truth, indeterminacy and falsity memberships, with an admissibility proof for every integer rung q ≥ 1. Criterion weights are adjusted according to recorded information coverage rather than cross-criterion correlation, and a fixed-reference ideal-distance calculation produces an auditable rank. The method is …

Risk Prioritization Of ``Digital Drug'' And Consumer Neurostimulation Modalities: A Reproducible Interval-Valued Fermatean Fuzzy Entropy–Topsis Framework, Rawan Emad El-Saadany, Ahmed Samy, Mohamed M. Abdelhafeez, Mahmoud M. Ismail

Neutrosophic Systems with Applications

Consumer audio and multisensory stimulation technologies are increasingly accessible through streaming platforms, mobile applications, and immersive media. The expression digital drug is sometimes used for binaural-beat content intended to alter subjective states, but the term is a consumer/cultural label and does not imply pharmacological equivalence. Risk prioritization in this area is difficult because evidence is heterogeneous, several relevant criteria are qualitative, and judgments may be imprecise rather than point-valued. This paper develops a transparent interval-valued Fermatean fuzzy (IVFF) group decision framework that combines interval-preserving aggregation, Shannon entropy weighting, and TOPSIS for prioritizing digital drug risk scenarios under uncertainty. The method …

Risk-Based Cybersecurity Threat Prioritization In Digital Twin-Enabled Cyber-Physical Systems, Nada Mohamed, Alshaimaa A. Tantawy, Ahmed M. Abdelmouty

Neutrosophic Systems with Applications

Digital Twin (DT)-enabled cyber-physical systems (CPS) face cybersecurity risks due to their complex connections and high levels of interdependence. Traditional methods, for assessing risk often fail to rank these threats. This is especially true when expert opinions include ambiguity, uncertainty or unclear information. A Type 2 Neutrosophic Entropy– Measurement of Alternatives and Ranking according to COmpromise Solution (Entropy- MARCOS) framework for cybersecurity threat prioritization in DT-enabled CPS is proposed in this paper. The uncertainty and indeterminacy present in expert evaluations are represented by Type 2 Neutrosophic Numbers (T2NNs). While the MARCOS technique is used to assess and rank cybersecurity threats …

Context-Regulated Q-Neutrosophic Soft Model Selection Under Input Perturbation: Evidence From Three Classification Benchmarks, Poom Kumam, Supak Phiangsungnoen

Neutrosophic Systems with Applications

Selecting a classifier using a single average metric can conceal instability across validation splits, poor lower-tail behavior, and sensitivity to input perturbations. This study formulates a context-regulated Q-neutrosophic soft model-selection procedure with two fixed evaluation conditions. For each classifier and performance criterion, mean attainment (truth), across-split dispersion (indeterminacy), and the complement of a lower empirical quantile (falsity) form an auditable three-component descriptor. A bounded lower-context regulator aggregates their penalized utilities; monotonicity and perturbation bounds follow directly from its convex representation. Four fixed classifiers are compared using five benefit-oriented criteria, three repetitions of stratified five-fold cross-validation, and paired test-feature perturbations. Three …

Parental Knowledge, And Determinants Of Head Lice Infestation In Rural Southeast Georgia, Padde Musa, Sarah E. Braswell, Marina E. Eremeeva

Journal of the Georgia Public Health Association

Background:

Head louse pediculosis is a common problem among school-aged children. We assessed parental knowledge and practices about head louse infestations and factors contributing to the spread of head lice in families in Southeast Georgia.

Methods:

A self-administered questionnaire was completed by 197 parents, grandparents or guardians of school-aged children. Responses about participant’s demographics, knowledge about head lice, sources of information, treatment methods used, and behavioral practices that might contribute to head lice exposure and spread. Z-test or Chi-square test were used as appropriate, to identify population proportions across different variables with statistical significance (p-value) of < 0.05.

Results:

Most …

Spartan Daily, October 28, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 29

A Trauma-Informed And Collaborative Approach To Safe And Sustained Family Reunification, Alissa M. Cummins

Master of Arts in Human Services

Family reunification involves more than returning a child to the care of their biological family; it requires the sustained promotion of child safety, stability, and family well-being. This literature review examined how trauma-informed and collaborative approaches support safe, stable, and lasting reunification within the child welfare system. The review explored adverse childhood experiences (ACEs) and developmental, psychological, family, and socioeconomic risk factors associated with child welfare involvement and permanency outcomes, as well as protective factors such as supportive relationships, caregiver well-being, resilience, and access to services and resources. Analysis of the literature identified three interconnected principles essential to successful reunification: …

Evaluasi Penerapan Rekam Medis Elektronik Terhadap Kinerja Perawat Di Unit Rawat Inap Rs Grha Permata Ibu Kota Depok Tahun 2025, Ratna Dian Andriani, Dicky Yulius Pangkey, Ahdun Trigono

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Electronic Medical Records (EMR) adoption aims to improve documentation efficiency and nurses’ performance; however, system instability and limited continuous training remain obstacles. This study examined the effects of EMR features and functionality, technical support and training, and users’ perceptions and attitudes on nurses’ performance at Grha Permata Ibu Hospital. This study employed an analytic observational design with a cross-sectional approach, using a quantitative survey conducted among 74 inpatient nurses through a Likert-scale questionnaire. Descriptive analysis, Spearman correlations, and multiple linear regression were employed. Results indicate that features and functionality (X1) have a strong positive association with performance (p = 0.652; …

Efektivitas Implementasi Raspro Terhadap Pola Resistensi Dan Biaya Antibiotik Di Rsud Kabupaten Bekasi, Irmawati Hasan, Helen Andriani

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

The increasing use of antibiotics over recent decades has significantly affected global public health, primarily through the emergence of antimicrobial resistance (AMR), which contributes to higher morbidity, mortality, and economic burden. As a regional referral hospital, Bekasi Regency General Hospital faces substantial challenges related to high resistance rates, with multidrug-resistant organisms (MDROs) showing MRSA at 22.22% and ESBL at 40% in 2024. This study evaluated the implementation of the Prospective System Antimicrobial Regulation Program (RASPRO) in relation to resistance patterns, antibiotic cost efficiency, and supporting roles of governance, human resources, and monitoring systems. A quantitative prospective cohort design was applied, …

Kualitas Hidup Pasien Penyakit Gagal Ginjal Kronik Dan Kepuasan Pelayanan Di Unit Hemodialisis Rumah Sakit Alia Depok: Studi Mixed-Methods, Bimo Kusumo, Vetty Yulianty Permanasari

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

The prevalence of chronic kidney disease (CKD) in Indonesia remains a high-incidence condition and most of it underwent hemodialysis in Hospital. This study aims to analyze the quality of life of patients with chronic kidney disease and satisfaction with services in the hemodialysis unit. This study is a mixed-methods study with a quantitative study using the World Health Organization Quality of Life (WHOQOL-BREF) and Service Quality (SERVQUAL) questionnaires, and a qualitative study with in-depth interviews related to hospital services from both service providers (healthcare professionals) and service recipients (patients). The study found predominantly moderate scores on the WHOQOL-BREF and poor …