Digital Commons Network^™

Adjunctive Psychosocial Interventions And Opioid Abstinence Among Patients Receiving Buprenorphine: A Randomized Clinical Trial., Michelle R. Lent, Emily E Hurstak, Kevin G Lynch, Emily Loscalzo, Kimberly Mazur, Helen L Lugo, Karen L Dugosh

PCOM Scholarly Works

IMPORTANCE: Adjunctive psychosocial treatments are recommended for many using medications for opioid use disorder (MOUD), but it is unclear which approaches can best enhance treatment outcomes.

OBJECTIVES: To evaluate the comparative effectiveness of 2 psychosocial treatments, peer recovery support (PRS) and cognitive-behavioral therapy (CBT), on opioid abstinence when used as adjunctive therapies to office-based buprenorphine treatment in adults with opioid use disorder (OUD).

DESIGN, SETTING, AND PARTICIPANTS: This randomized clinical trial included US adults diagnosed with OUD referred for care at 5 federally qualified health centers with office-based addiction treatment programs by their clinicians from 2020 to 2024. Participants were …

Activating Shared Print As A Strategy For Legacy Print Access, Michael M. Brewer, Niamh A. Wallace

Collaborative Librarianship

While most libraries participate in collaborative shared print efforts but tend only to rely on them as a failsafe, this article underscores the timeliness and importance of more libraries “activating” shared print as a core strategy for access to legacy print content. The University of Arizona’s experiences with SCELC and HathiTrust for monographs and the WEST-Internet Archive pilot for serials are discussed as examples of how libraries might choose to pursue this approach.

What Collaboration Means To Me: From Coordination To Collective Action: Cclp And Cyclops As Infrastructure For Collaborative Collection Stewardship, Boaz Nadav-Manes

Collaborative Librarianship

Academic libraries face growing pressure to manage complex collections under significant resource constraints. While consortial collaboration has long been recognized as a strategic response, existing models remain limited, often failing to influence the full collections lifecycle. This article examines how the Collaborative Collections Lifecycle Project (CCLP) and the Cyclops platform together offer a new model for moving beyond coordination toward genuine collective action in collection stewardship. CCLP provides a community-governed framework structuring collaboration from selection and acquisition through preservation and deaccessioning, while Cyclops complements it with an open, analytics-driven infrastructure that aggregates data across institutions, enabling cross-institutional analysis and translating …

Sol–Gel Surface Engineering And Modification Of Sio₂ Nanostructured Coatings On Cotton For Superhydrophobic Interfaces And Oil–Water Separation, Sandra Catalina Castillo Velasquez, Jahaziel Amaya, R.J. Rincón, Juan Manuel Galindo-Gonzalez, César Leandro Londoño Calderón, Daniel Llamosa Pérez

Artículos científicos

A sustainable, fluorine-free sol–gel route is reported for fabricating SiO2 nanoparticle (SiO2NPs) superhydrophobic coatings on cotton textiles for oil–water separation. Silica sols were synthesized from tetraethyl orthosilicate under basic catalysis while systematically varying the hydrolysis ratio (R = H2O/TEOS, 0.5–8) and sol aging time (0–96 h); mechanical stirring and ultrasonic agitation were compared to assess their influence on nanoparticle dispersion and coating uniformity. The resulting SiO2NPs exhibited spherical morphology and homogeneous elemental composition, as confirmed by SEM/STEM, EDX, DLS, and FTIR. Wettability depended strongly on R and aging time, with the optimal condition (R = 2, 96 h) yielding a …

Validation Of Electromagnetic Shower Development In A Reduced Alice Focal-E Detector Model Using Geant4, Isaac Lara Romo

Physics

This project focuses on the preliminary simulation of a reduced FoCal-E detector model for the ALICE experiment at CERN. Beamline tests were simulated using an electron gun at various incident energies, and the results were compared with those of the FoCal group. The longitudinal charge deposition per sensor layer was compared between the two setups to verify that the reduced model exhibited expected calorimeter behavior. Additionally, the transverse signal across the high-granularity sensor layers was examined to determine whether the reduced model reproduced the expected lateral development of electromagnetic showers. The results obtained from these measurements show that the reduced …

Investigation Of Process Parameters To Fabricate Tiwmo Refractory Medium Entropy Alloy Via Laser Powder Bed Fusion, Abdullah Al Masum Jabir, Lindsey A. Salazar, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This paper presents an experimental study on the fabrication of a TiWMo refractory medium-entropy alloy (RMEA) using laser powder bed fusion (PBF-LB/M, commonly known as selective laser melting) from elemental powders as well as successful alloy formation on titanium substrates. The effects of tungsten particle size and process parameters on successful TiWMo RMEA fabrication have been explored using scanning electron microscopy (SEM), x-ray diffraction, hardness measurement and microstructural analysis. Scanning electron microscope (SEM) analysis revealed that the lowest percentage (0.01%) of unmelted tungsten particles was observed at a laser power of 350 W and scanning speed of 250 mm/s, particularly …

Forms Of Career Services Capital, Dylan Thomas Houle

Social Justice in Educational Leadership EdD Dissertations

Despite career outcomes being a primary measure of institutional quality, career services leaders often remain in terminal mid-level positions with limited organizational influence. This qualitative study explores the forms of capital—including skills, knowledge, and networks—that career services leaders possess and how they leverage these assets to obtain greater organizational influence. Drawing on Bourdieu’s (1986) theory of capital and Bolman and Deal’s (2021) four-frame organizational model, the researcher conducted focus group interviews with 28 current and former career services leaders from diverse U.S. higher education institutions. The findings identify five distinct forms of Career Services Capital: knowledge, social, economic, reputational, and …

Operationalizing Creativity: The Role Of The Arts Within Post Secondary Institutions, Jordán Francisco Sandoval

Social Justice in Educational Leadership EdD Dissertations

Despite the significant benefits creative campus spaces offer to their academic communities, non-curricular creative spaces within the university such as art galleries, art museums, and art centers remain critically under-explored within academic research. Addressing this gap by highlighting the lived experiences of arts administrators, this dissertation engages a qualitative study informed by narrative inquiry. Utilizing semi-structured interviews and photovoice elements with arts professionals across multiple colleges and universities, this study captures firsthand perspectives from key leaders in order to (I) provide rich, anecdotal context about the day-to-day realities of arts administration within formal educational environments; (II) illuminate the dynamics that …

Extensive And Intensive Margin Labor Supply On Ride-Sourcing Platforms, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

The rapid expansion of ride-sourcing platforms has enabled freelance drivers to flexibly determine both their participation and working hours. Understanding this flexible labor supply behavior is essential for managing platform capacity and evaluating the impacts of pricing and incentive policies on driver welfare. This study develops a labor supply model in which drivers optimally choose whether to participate (extensive margin) and how long to work (intensive margin) to maximize their utility from consumption and leisure. The model incorporates heterogeneity in drivers’ other income, idle time, and participation costs, allowing us to analytically characterize equilibrium labor supply decisions. The results show …

Long-Term Mine Planning: A Survey Of Classical, Hybrid And Artificial Intelligence-Based Methods, Nurul Asyikeen Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi

Research Collection School Of Computing and Information Systems

The aim of long-term mine planning (LTMP) is two-fold: to maximize the net present value of profits (NPV) and determine how ores are sequentially processed over the lifetime. This scheduling task is computationally complex as it is rife with variables, constraints, periods, uncertainties, and unique operations. In this paper, we present trends in the literature in the recent decade. One trend is the shift from deterministic toward stochastic problems as they reflect real-world complexities. A complexity of growing concern is also in sustainable mine planning. Another trend is the shift from traditional operational research solutions — relying on exact or …

Enhancing Urban Refueling Efficiency: Strategies For Sustainable Mobility And Economic Impact, Navid Hashemi Taba, Iftekhar Ahmad, Ahdieh Sadat Khatavakhotan

Research outputs 2022 to 2026

In response to increasing concerns about operational inefficiencies and environmental impacts at petrol stations, this operational research investigates strategies to enhance refueling efficiency across 103 stations in Perth. A pilot study employing observational methods and time-motion analysis established ideal benchmarks for core refueling activities. Empirical analysis of driver behavior during high-demand periods—often driven by fuel price discounts—and regular off-peak hours revealed significant performance gaps, highlighting substantial opportunities for efficiency improvements. Eliminating non-essential tasks could yield time savings of up to 67% during peak periods and 45% during off-peak periods. Economic analysis demonstrated mutual benefits when refueling processes align with these …

La Espiritualidad: Transmitting Peruvian Culturo-Spiritual Elements Into Occidental Systemic Spaces, Deisy Amorin-Woods

Research outputs 2022 to 2026

This paper is a decolonising, Indigenous qualitative inquiry that integrates elements of critical autoethnography, narrative methods and conceptual analysis to explore how Peruvian Andean cosmology can inform contemporary systems thinking and family therapy practice. Writing as a mestiza, a Peruvian migrant in Australia, the author traces the lived experience of cultural erosion within Western, individualistic contexts and her reconnection with ancestral Andean teachings. These teachings—rooted in reciprocity, ecological attachment, collective responsibility and relational balance—are presented as living epistemologies that offer timely contributions to working therapeutically. The author examines core Andean concepts including ayll (kinship-based community), ayni (sacred reciprocity), Yachay (aprenderes …

Multiple-Nozzle Sprays: Comparison To Single-Nozzle Sprays And Role Of Directional Conditional Filtering, Farzad Hossain, Matthew J. Cleary, Yasir M. Al-Abdeli, Mehdi Khiadani

Research outputs 2022 to 2026

Spray-based droplet evaporation systems used in desalination and cooling applications depend on both nozzle arrangement and the interpretation of measured droplet behaviour. This study examines (i) how multi-nozzle configurations differ from single-nozzle characteristics and (ii) how ensemble-averaged measurements change when droplets are separated according to their motion direction (upward or downward). Atmospheric water sprays generated by full-cone spray nozzles were investigated using Particle Image Velocimetry (PIV) for droplet axial velocity measurements and Shadowgraph imaging to determine droplet size and count. Directional filtering was performed using Large Eddy Simulation (LES), validated against experiments. Single- and dual-nozzle configurations were tested with horizontal …

A Novel Multi−Agent Deep Reinforcement Learning Framework For Fast Frequency Response In Inverter−Based Hybrid Power Plants, Muhammad Ikram, Asma Aziz, Daryoush Habibi

Research outputs 2022 to 2026

The increasing penetration of inverter−based resources (IBR) in power grids necessitates novel control techniques to deliver advanced ancillary services such as fast frequency response (FFR), crucial for ensuring power system stability. Existing schemes−droop control, virtual synchronous generator (VSG), and hybrid approaches−require full observability, and centralized control, which are unsuitable for utility−scale hybrid power plant (HPP) with a distributed grid−forming inverter (GFMI). In addition, it lacks adaptive control capabilities in response to real−time disturbances according to the IEEE 2800−2022 standard. To address these challenges, this paper proposes a design of a novel multi−agent deep reinforcement learning (MADRL) framework for utility−scale IBR−dominated …

Gas Adsorption Behavior In Organic-Rich Carbonate Source Rocks: Insights Into Hydrogen Storage, Methane Recovery, And Co2 Sequestration In Oil Shales, Muhammad Usman, Muhammad Ali, Tawanda Matamba, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit, Volker Vahrenkamp

Research outputs 2022 to 2026

Gas adsorption in unconventional petroleum source rocks, e.g. organic-rich mudrocks and shales, is influenced by significant heterogeneities in organic and inorganic composition, structure, and pore networks. An understanding of the interplay between these properties is essential for optimizing hydrocarbon extraction, CO2 sequestration, and hydrogen storage in such reservoirs. Herein, the factors controlling hydrogen, methane, and CO2 adsorption in unconventional organic-rich Jordan source rock samples are investigated, focusing on the roles of organic matter, mineral composition, and textural properties. The samples are characterized via multiple techniques, followed by adsorption experiments. The results reveal that H2 has the lowest adsorption capacity, being …

Airline Strategy Research: A Bibliometric And Thematic Analysis (1980–2025), Mustafa Kaya, Tuba Bayar, Renan De Oliveira, Gui Lohmann, Ferhan K. Sengur

Research outputs 2022 to 2026

Research on strategic management in airlines has rapidly expanded since its inception in the 1980s, with studies providing valuable insights into topics such as alliances, competitiveness, sustainability, and digitalisation. To contribute to this effort, the present study presents an integrative bibliometric analysis of 306 documents indexed in either the Web of Science or Scopus (1980–2025). Using Bibliometrix (R), a performance analysis indicated that although this research topic shows steady growth, its citation impact is concentrated among a limited number of authors, institutions, and specialist journals. Competitive advantage, service quality, alliances, low-cost airlines, financial performance, business strategy, revenue management, and pricing …

From Thin Films To Energy Systems: A Perspective-Oriented Translational Framework For Deployable Functional Materials, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The translation of high-performance thin-film materials from lab-scale development to field-deployable energy systems remains a significant holdup in sustainable technology development. The real-world impact of functional thin films, nanocomposites, and emerging photovoltaic architectures is often limited by issues with scalability, interfacial reliability, environmental stability, and system-level integration, despite their excellent optical and electronic performance at the device level. A translational framework that is deployment-oriented and systematically connects interface-centric device integration, application-context validation, system-level performance feedback, and process-aware thin-film engineering has been presented in this article. Common structure-property-deployment trade-offs are identified through a comparative analysis of representative case domains, such as …

Geographic Range And Body Size Influence Abundance Patterns In Reef Fishes, M. F. Maxwell, D. R. Barneche, R. Divieso, S. R. Floeter, O. J. Luiz, A. L. Luza, M. R. Pie, A. C. Siqueira, M. G. Bender

Research outputs 2022 to 2026

Aim: Understanding how body size and geographic range size influence species abundance is central to macroecology. Here, we characterized these relationships for reef fishes, the world's most diverse vertebrate group, across global and regional scales. Location: Global tropical and subtropical reefs. Time Period: Current. Major Taxa Studied: Reef-associated fishes. Methods: We compiled a comprehensive dataset on abundance, body size and geographic range size for 828 reef fish species. Abundance was measured as density (ind/m²) using transect-based observational data. To analyse global-scale patterns, we applied Bayesian quantile regressions and Bayesian phylogenetic regressions to account for phylogenetic relatedness. We also …

Nanofluid Flooding As A Sufficient Alternative To Waterflooding For Incremental Oil Recovery From Carbonate Reservoirs, Sarmad Al-Anssari, Dhifaf Sadeq, Hassanain A. Hassan, Ahmed Hamid Al-Taie, Hasan Ali Abood, Mohammed Mahdi, Zain Ul Abedin Arain

Research outputs 2022 to 2026

Oil recovery from carbonate reservoirs is one of the critical challenges in the oil industry due to the strongly oil-wet nature, natural fractures, and the heterogeneity of carbonate rocks. Subsequently, waterflooding can only displace oil from large fractures, leaving the majority of oil trapped in the rock matrix. This work suggests that nanofluid flooding, as a predesigned flooding method, is an alternative to conventional waterflooding. Various concentrations of silica nanofluid at different nanoparticle concentrations were formulated and systematically investigated for their characteristics, stability at reservoir conditions, and their influence on wettability and oil recovery. Silica nanoparticles were sustainably synthesized from …

Geometric Characterization Of Ideals In Bipolar Semigroups, Kittipong Laipaporn, Rasimate Maungchang, David M. Cook, Prathomjit Khachorncharoenkul

Research outputs 2022 to 2026

This paper develops a geometric framework for analyzing the ideal structure of the bipolar semigroup ��={(−��,��)∣��,��∈ℝ+0} under coordinate-wise addition. Subsets of B are interpreted as planar regions, allowing ideals to be described in terms of boundary behavior. In particular, we prove that the complement of a simply connected region is an ideal of the commutative additive semigroup (��,+) if and only if its boundary contains no strictly decreasing segment. This provides a direct and visually verifiable criterion for ideality, linking algebraic structure to geometric shape. Each ideal can be written as a union of translates of the form ��+��, with …

Optimizing Fpga And Wafer Test Coverage With Spatial Sampling And Machine Learning: Analysis Of Local Spatial Consistency, Weiquan Wang, K. M.Shahriar Alam Adib, Foisal Ahmed, Riaz Ul Haque Mian

Research outputs 2022 to 2026

Wafer and FPGA testing remains costly in semiconductor manufacturing. This paper studies random sampling, stratified sampling, and k-means sampling under a partial-measurement setting with Gaussian Process Regression (GPR), and introduces Short Distance Elimination (SDE), a spatial screening rule that spreads selected training points over the layout. Combining value-based sampling with SDE yields two hybrid methods: S-SDE, which applies SDE within stratified subsets, and K-SDE, which applies SDE within k-means clusters. A calibration-based protocol fixes the value-group labels and SDE thresholds before target-file prediction. The SDE thresholds are selected from (Formula presented.) configurations in (Formula presented.), excluding (Formula presented.), using local …

Spatiotemporal Dynamics Of Riparian Land-Cover Change And Impervious-Cover Expansion In A Rapidly Urbanising Himalayan Capital City, Karma Jamtsho, Tashi Dorji, David Blake, Mark A. Lund, Eddie Van Etten

Research outputs 2022 to 2026

Urbanisation and impervious-cover expansion are reshaping riparian landscapes, particularly in mountain cities where steep terrain concentrates development along valley floors. This study examined spatiotemporal land-cover change within the regulated riparian corridors of Thimphu City, Bhutan, over a 25-year period from 1997 to 2022 using Landsat imagery, Random Forest classification and Google Earth Engine. Results show substantial transformation of riparian land cover, with impervious cover increasing from 26.14% to 32.63%, equivalent to an overall increase of 24.83%, while agriculture/barren/low-vegetation declined from 30.59% to 26.01%, equivalent to an overall decrease of 14.98%. A modest increase in detectable vegetation cover was also observed, …

Sporadic Appetites: Unearthing The Fungal Diets Of Two Mycophagous Mammals Across An Australian Climate Gradient, Rebecca J. Quah, Saul J. Cowen, Robert A. Davis, Harriet R. Mills, Anna J.M. Hopkins

Research outputs 2022 to 2026

Translocating threatened ecosystem engineers may offer the dual benefit of contributing to species conservation and ecosystem restoration. Boodies (burrowing bettong; Bettongia lesueur) and woylies (brush-tailed bettong; Bettongia ogilbyi) are threatened mycophagous marsupials known for their crucial role in ecosystem health through fungal dispersal and bioturbation. As part of restoration efforts across Australia, these bettong species are frequently targeted for translocations, where a better understanding of their fungal dietary requirements is essential for ensuring their resource requirements are met and in predicting their ecological contributions to recipient ecosystems. Here, we used DNA metabarcoding to study the fungal diets of boodies and …

Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang

Research Collection School Of Computing and Information Systems

Context: Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript (JS) engines with considerable success, these efforts have been limited to using ordinary test cases or publicly available vulnerability PoCs (Proof of Concepts) as seeds, and the sustainability of these approaches is hindered by the challenges associated with automating the PoC collection. Objective: To address these limitations, we propose an end-to-end sustainable approach for JS engine patch fuzzing, named PatchFuzz. Method: It automates the collection of PoCs of a broader range of …

To Wait Or To Transfer? A Three-Level Optimization Framework For Intermodal Transfer Coordination In First Train Timetabling And Bus Bridging Services Management, Hao Li, Liujiang Kang, Norman Weik, Huijun Sun, Qingying Lai, Zhiguang Cao

Research Collection School Of Computing and Information Systems

This study addresses the integrated optimization of the first train timetabling and bus bridging service design (FTT-BBSD) for morning transfer challenges, two critical but interdependent passenger services in the public transit system. In contrast to most existing studies and conventional approaches, this study explicitly models the influence of passenger path choices and transfer mode selections on FTT-BBSD. Through a novel dual-level network representation that integrates subway and bus systems, we formulate the FTT-BBSD problem as a mixed-integer nonlinear programming model. The model simultaneously determines subway and bus timetables and bridging line deployment to minimize total travel time for all first …

Hydpn: A Hybrid Deep Reinforcement Learning, Programming, And Neighborhood Operations Framework For Integrated Scheduling On Parallel Batch Processing Machines, Yuqi Wang, He Luo, Guoqiang Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Batch processing machines (BPMs) are widely used in industries such as semiconductors, metal processing, and healthcare, where jobs are processed in batches. As production, inventory, and distribution become increasingly integrated to improve efficiency, research on their joint scheduling in parallel BPM environments remains scarce. This paper addresses the integrated scheduling problem in parallel BPMs, involving production, inventory, and distribution stages, with the objective of minimizing total costs. A unified cost-based model is first formulated, applicable to both in-facility and external distribution scenarios. A hybrid algorithm framework, HyDPN, combining deep reinforcement learning, dynamic programming, and neighborhood operations is proposed. Extensive experiments …

On-The-Fly Generation-Quality Enhancement Of Deep Code Models Via Model Collaboration, Weifeng Sun, Naiqi Huang, Meng Yan, Zhongxin Liu, Hongyan Li, Yan Lei, David Lo

Research Collection School Of Computing and Information Systems

The growing prominence of deep code models in automating software engineering tasks is undeniable. However, their deployment encounters significant challenges in on-the-fly performance enhancement, which refers to dynamically improving the performance of deep code models during real-time execution. Conventional techniques, such as retraining or fine-tuning, are effective in controlled pre-deployment scenarios but fall short when adapting to on-the-fly adjustments post-deployment. CodeDenoise, a notable on-the-fly performance enhancement technology, leverages uncertainty-based methods to identify misclassified inputs and applies an input modification strategy to rectify classification errors. While effective for classification tasks, this approach is inapplicable to generative tasks due to two key …

Interfold: Learning Interpretable Diffusion Manifolds Beyond Binary Samples, Alexander Vincent Lewi, Rainer Tan, Shengfeng He

Research Collection School Of Computing and Information Systems

We propose InterFold, a framework for learning and applying interpretable semantic manifolds in latent diffusion models, without requiring binary or paired supervision. Existing methods for semantic editing either rely on limited paired data or uncover only coarse, unsupervised directions that fail to capture user-specific, fine-grained attributes. InterFold addresses these limitations by learning a target attribute manifold in the H-space of diffusion models using only a set of positive, unlabeled examples. To edit a new image, InterFold projects its H-space representation toward this learned manifold through test-time optimization, enabling precise, identity-preserving modifications of complex, non-binary concepts. To make these edits effective …

Frozen Lvlms For Micro-Video Recommendation: A Systematic Study Of Feature Extraction And Fusion, Huatuan Sun, Yunshan Ma, Changguang Wu, Yanxin Zhang, Pengfei Wang, Xiaoyu Du

Research Collection School Of Computing and Information Systems

Frozen Large Video Language Models (LVLMs) are increasingly employed in micro-video recommendation (MVR) due to their strong multimodal understanding. However, existing apporches typically deploy LVLMs as fixed black-box feature extractors without systematically comparing alternative representation strategies. To address this gap, we present the first systematic empirical study on various feature extraction paradigms and integration strategies, along with hierarchical representations from frozen LVLMs for MVR. Extensive experiments on representative LVLMs reveal that hidden states from multiple decoder layers provide richer and more effective representations for MVR. Guided by this insight, we propose the Dual Feature Fusion (DFF) Framework, a lightweight approach …

Sok: Understanding Zkvm: From Research To Practice, Guomin Yang, Yunbo Yang, Yuejia Cheng, Haibo Tang, Bingsheng Zhang, Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge virtual machine (zkVM) is a powerful infrastructure for proving the correctness of a program execution with a succinct proof, attracting significant interest from researchers, developers, and users. It has been widely used in applications such as blockchain rollups, privacy-preserving machine learning, and off-chain computation. As the field grows, a wide range of zkVMs have been proposed. However, they adopt different choices in instruction formats, trace layouts, and proving backends, which results in a highly heterogeneous design landscape and makes it difficult to understand the relations among these systems.To bridge this gap, we provide a comprehensive study of zkVMs that …