Digital Commons Network^™

Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov

Chemical Technology, Control and Management

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev

Chemical Technology, Control and Management

This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …

The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

This article is devoted to the applied analysis of diagnostic and restructuring methods aimed at ensuring the reliability of control systems in the event of failures. The paper considers practical implementations of diagnostic and control algorithms using a servo drive setup as an example. The results of experiments are presented, demonstrating the system's behavior under various fault conditions. A comparative analysis of the effectiveness of the proposed solutions is carried out in terms of stability and operational accuracy. The obtained data confirm the feasibility of using adaptive control structures to increase the fault tolerance of technical systems. The article concludes …

Spatio-Temporal Gcn With Softmax Classifier For Skeleton-Based Human Action Recognition, Kabul Khudaybergenov, Avazjon Marakhimov, Zahriddin Muminov

Chemical Technology, Control and Management

Skeleton-based human action recognition is an important research area with many practical applications. Most existing methods rely on single representations of skeletal sequences, which cannot totally obtain all the complex features of human movements. This paper presents LFHAR (Latent Features for Human Action Recognition), a new framework that uses multiple spatio-temporal latent representations to improve the extraction of action features. Our method captures how skeletal poses change over time and combines motion information from both individual joints and connected body parts. The proposed approach applies graph-based processing to each skeleton frame in a sequence, then arranges the resulting graph features …

Proteolysis-Targeting Chimeras In Cancer Therapy: Targeted Protein Degradation For Next-Generation Treatment, Yamile Abuchard, Mariana Barragan, Ricardo Pequeno Bracho, Salique H. Shaham, Debasish Bandyopadhyay, Elias George, Diane Nguyen, Manish Tripathi

School of Medicine Publications

Proteolysis-targeting chimeras (PROTACs) have the potential to revolutionize cancer treatment by specifically targeting and degrading oncogenic proteins. Using the ubiquitin-proteasome system, PROTACs allow the selective degradation of disease-causing proteins, including those traditionally deemed “undruggable” by conventional small-molecule inhibitors. By catalytically eliminating rather than inhibiting proteins, PROTACs provide sustained target suppression with lower doses and reduced toxicity. Their bifunctional design linking a protein of interest to an E3 ligase drives targeted ubiquitination and subsequent proteasomal degradation. Recent progress demonstrates promise in treating solid and hematologic malignancies, with several candidates advancing to clinical trials. This review provides a comprehensive overview of developing …

Pocus: Presence, Observation, Connection, Understanding, Story., Sanjay A Patel

Medical Education Articles

No abstract provided.

Powder Bed Fusion Of Stainless Steel 304l-Nbc Nanocomposite Produced By Ball Milling Method Using A Laser Beam, Khalid Hussain Solangi, Junaid Iqbal Bhatti, Irfan Ali Tunio, Imdad Ali Memon, Temoor Abbas Larik, Lianyi Chen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Metal powders with uniformly dispersed nanoparticles, suitable shape, and size for additive manufacturing (AM) processes are highly demanded. However, it is difficult to manufacture metal matrix nanocomposite powders (MMNCs) with uniform dispersion of nanoparticles, optimized shape, and size. This study used high-energy ball milling to disperse NbC nanoparticles with an average length of 400 nm (ex-situ reinforcement) in a Stainless Steel (SS) 304 L matrix. In detail, SS304L-5wt% NbC powders were ball-milled from 4 to 10 h. The results showed that the milled powder particles experienced significant cold-welding during the milling time of 4–6 h, with a wide size distribution. …

A Gis Method To Summarize Changes Among Classes During A Time Series With An Application To Land Cover In Western Bahia, Brazil, Robert Gilmore Pontius, Antonio Victor Galvão Da Fonseca

Geography

Petabytes of raster maps exist that show numerous classes across a series of many time points. Scientists need new methods to summarize the temporal changes so scientists can understand broad patterns and have guidance for how to look deeper into particular places, trajectories, classes, and time intervals. Our manuscript addresses this need by presenting an innovative method that summarizes the temporal changes in terms of a map of four trajectories and bar charts of five components: quantity, allocation exchange, allocation shift, alternation exchange, and alternation shift. An application illustrates the method using 16 land cover classes at 7 time points …

Omahe Rak Usah Apik-Apik: Adequate Housing Problems Of The Urban Poor Along Railway Tracks, Syahwal -

The Indonesian Journal of Socio-Legal Studies

As urban development accelerates, urbanization has simultaneously grown as an inseparable phenomenon. However, beneath this transformation lies a crisis within the capitalist system known as overaccumulation, which has led to the marginalization of urban poor groups. This phenomenon results in the creation of slums, one of which is found in the periphery of railway tracks, where the urban poor reside. Semarang the capital of Central Java Province, Indonesia, is an apt example of such developments,. This study takes as starting point that the right to adequate housing is an integral part of human rights and addresses the issue of why …

“Flexing” And The Luxury Lifestyle: A Critique Of The “False Solidarity” Of Female Officials And Public Figures In Contemporary Indonesian Media, Wening Udasmoro, Leo Marai

The Indonesian Journal of Socio-Legal Studies

This study aims to explore the practice of “flexing” and the luxury lifestyle as represented in the media both through the self-representation of female public figures on their social media accounts and through coverage by mainstream outlets. These figures include actresses, entertainers, and other widely recognized social personalities. The research is urgent given that the public display of wealth and opulence disseminated through the media generates a domino effect within society, particularly in shaping consumption patterns and fueling an increasingly pervasive culture of consumerism in Indonesia. The proliferation of consumerist culture both reflects and exacerbates social inequality in Indonesia, where …

Clinician-Led Development And Feasibility Of A Neural Network For Assessing 3d Dental Cavity Preparations Assisted By Conversational Ai, Mohammed El-Hakim, Haitham Khaled, Amr Fawzy, Robert Anthonappa

Research outputs 2022 to 2026

Introduction: Artificial intelligence is emerging in dental education, but its use in preclinical assessment remains limited. Large language models like ChatGPT^® V4.5 enable non-programmers to build AI models through real-time guidance, addressing the coding barrier. Aim: This study aims to empower clinician-led, low-cost, AI-driven assessment models in preclinical restorative dentistry and to evaluate the technical feasibility of using a neural network to score 3D cavity preparations. Methods: Twenty mandibular molars (tooth 46), each with two carious lesions, were prepared and scored by two expert examiners using a 20-point rubric. The teeth were scanned with a Medit i700^® and …

Women’S Experiences Of Declining Recommended Or Routine Maternity Care: A Systematic Review, Ilyana Mohamed Hussain, Kate Buchanan, Linda Sweet, Sara Bayes

Research outputs 2022 to 2026

Background Women have the right to decline recommended or routine maternity care. While informed choice is increasingly emphasised in maternity care, the experiences of women who decline recommended or routine care remain underexplored. Aims To synthesise evidence on women’s experiences of declining recommended or routine aspects of maternity care. Methods A systematic review was conducted using a structured approach informed by Joanna Briggs Institute (JBI) principles for qualitative synthesis. Eight studies were appraised using the Critical Appraisal Skills Programme (CASP) checklist. Data were analysed through a narrative synthesis process, developing categories and dimensions that were synthesised into overarching themes. Results …

An Efficient Self-Supervised Learning Framework For Swarm Robot Trajectory Analysis, Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao

Computer Science Faculty Publications

Swarm robotics leverages groups of autonomous robots to perform complex tasks collaboratively. Recently, there has been growing interest in the Self-Supervised Learning framework (SSL) for social robots, yet very little research has been done on designing a SSL framework for foraging swarm robots systems. In this paper, to address the two challenges above, we proposed a novel efficient self-supervised learning framework. Specifically, we proposed 1) a shared weight multi-instance based encoder-decoder structure for model pre-training; and 2) an embedding series compression strategy to reduce the space cost in inference stage. Experiments show our system can match the performance of standard …

Improving Prescription Capture Rates Through A Standardized Meds To Beds Program At Parkview Heart Institute, Haley Michaud Pharmd, Tara Jellison, Katelyn Wees Pharmd, Sarah Ferrell Pharmd, Shery Grosjean Pharmd, Inderjit Ajimal

Pharmacy Residency

Background

Objectives

Multicomponent One-Dimensional Quantum Droplets Across The Mean-Field Stability Regime, I. A. Englezos, P. Schmelcher, S. I. Mistakidis

Physics Faculty Research & Creative Works

The Lee-Huang-Yang (LHY) energy correction at the edge of the mean-field stability regime is known to give rise to beyond mean-field structures in a wide variety of systems. In this work, we analytically derive the LHY energy for two-, three-and four-component one-dimensional bosonic short-range interacting mixtures across the mean-field stability regime. For varying intercomponent attraction in the two-component setting, quantitative deviations from the original LHY treatment emerge being imprinted in the droplet saturation density and width. On the other hand, for repulsive interactions an unseen early onset of phase-separation occurs for both homonuclear and heteronuclear mixtures. Closed LHY expressions for …

Spatio-Temporal Dynamics Of Malaria Vector Niche Overlaps In Africa, Eric Ali Ibrahim, John Odindi, Mark Wamalwa, Henri E.Z. Tonnang

All Peer-Reviewed Publications

Malaria remains a significant public health challenge in sub-Saharan Africa, with transmission heightened by the dynamics of primary and secondary mosquitoes infected with Plasmodium parasites. Regions where both vector types co-exist face heightened likelihood of intensified malaria transmission. Hence, understanding vectors' ecological interactions, especially their niche overlaps in geographic or environmental space, is crucial for targeted malaria control and elimination strategies. We employed a dynamic cellular automata (CA) model to map niche overlaps among primary (Anopheles gambiae complex, An. funestus group) and secondary (An. pharoensis, An. coustani) malaria vectors across African, using open-access environmental and vector occurrence datasets sourced from …

Climate-Driven Potential For Tularemia In East Africa: Skill Testing And Ecological Consistency Of A Transferred Risk Model, Komi Mensah Agboka, Allan Muohi Ngángá, Bonoukpoè Mawuko Sokame, Steve Soh Bernard Baleba, Tobias Landmann, Elfatih M. Abdel-Rahman, Chrysantus M. Tanga, Souleymane Diallo

All Peer-Reviewed Publications

Tularemia, a neglected zoonosis, remains underreported in Africa despite growing concern over its climate-driven expansion. This study aims to quantify the specific contribution of climate to tularemia risk using a climate attribution framework. We trained a Least Squares Dummy Variable (LSDV) fixed-effects panel model on United States (U.S.) county-level tularemia incidence data from 2011–2020 (n = 500, R² = 0.90), incorporating only climatic predictors: cumulative temperature, cumulative precipitation, and their respective variabilities. The climate-only model explained 86% of variance in the training data, demonstrating strong climate influence on tularemia disease dynamics. We then applied the model to East Africa, using …

Does Your Church's Online Presence Need An Upgrade?, S. Joseph Kidder

Faculty Publications

No abstract provided.

Bridging The Gap: An Educational Intervention For The Early Introduction Of Peanut Protein In Pediatric Care, Rachel Gilson Dnp, Rnc-Ob, C-Onqs, Fnp-C, Parkview Health

Nursing Publications, Posters, & Presentations

Presented at the 6th Annual Parkview Nursing Research and Evidence-Based Practice Symposium. Theme: “From Paper to Practice: The Art of Implementation Science,” at the Parkview Mirro Center for Research and Innovation.

The primary aim of this Doctor of Nursing Practice (DNP) project was to improve provider adherence to the NIAID guidelines for the early introduction of peanut protein in infants under one year of age. The project intended to address identified knowledge and practice gaps through a targeted educational intervention at Fort Wayne Pediatrics (FWP).

Empowering Nursing Teams To Prevent Delirium, Caroline "Candy" Smead Dnp, Rn, Scrn

Nursing Publications, Posters, & Presentations

Project Aim: To empower nursing teams to reduce delirium by using an embedded evidence-based delirium prevention bundle.

Presented at the 6th Annual Parkview Nursing Research and Evidence-Based Practice Symposium. Theme: “From Paper to Practice: The Art of Implementation Science,” at the Parkview Mirro Center for Research and Innovation.

More Alike Than Not: The Open Access Preferences Of Humanities Scholars, Rachel E. Scott, Ana Dubnjakovic

Faculty and Staff Publications – Milner Library

Several studies have noted that humanists have not been as quick or enthusiastic in their adoption of Open Access (OA) as their colleagues in other disciplines. This article leverages the Ithaka S+R US 2021 Faculty Survey to provide contextualized analysis of the OA and Open Education Resources (OER) preferences of humanities scholars, as well as some practices related to OA and OER, relative to their colleagues in other disciplines. Findings suggest that although humanists do stand apart in many OA preferences, the small effect sizes render these differences less important than previously suspected. The implications of these findings are considered …

Sailing Into And Against The Wind: Principled Opposition To And Acceptance Of Transformative Agreements, Rachel Scott, Mitchell Scott, Ben Rawlins, Lindsey Skaggs

Faculty and Staff Publications – Milner Library

This session explores different approaches to transformative agreements (TAs) at a Carnegie R1 University and a Carnegie R2 University, offering a comparative look at how these agreements shape faculty publishing experiences and the management of article processing charges (APCs). The R2 has adopted TAs to expand read access and support open access (OA) publishing, while the R1 has taken a principled stance against TAs, citing concerns about their role in perpetuating the serials crisis and questions of long-term sustainability.

Presenters from both institutions will share institutional and library motivations, as well as faculty feedback, highlighting real-world challenges related to APC …

Skin Soft Tissue Infection: Antibiotics For Abscesses, Children's Mercy Kansas City

Clinical Critically Appraised Topics

No abstract provided.

Research Review: "Structure In Transition: The Role Of Structure In Facilitating Workplace Efficacy And Belonging For Military Veterans", Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Employment transitions necessitate a degree of uncertainty and lack of control, which may present a challenge to succeeding and belonging at a new organization. The present research tests ideas derived from compensatory control theory which posits that people may seek external structure to help exert control over their lives when they experience a lack of control in an important life domain – and that this can aid in their goal pursuit. Across three studies, we explore whether the perception of a higher degree of organizational structure can help employees compensate for uncertainty and lack of control and facilitate transitioning employees’ …

Selective Sharing And Social Bonding: A Qualitative Study Of Online Health Information Behaviour Among Older Adults In Shanghai, Minzhi Ye, Yan Liu

School of Social Work Faculty Publications

The health information landscape has been revolutionised by the advent of social media, significantly affecting older adults’ access to and interaction with online health information. In this study, we examine how older adults interact with health information on social media. In total, 30 participants aged 60 years and older from Shanghai were interviewed, focusing on their health information-seeking behaviour, perceptions, and subsequent actions using a semi-structured, in-depth interview approach. Furthermore, in this study, we employed grounded theory to analyze the data, and the results revealed that older adults utilise a comprehensive cognitive process for evaluating health information. Information-sharing decisions among …

Ded Printing Process Modeling Using Metal Matrix Composites: In-Situ Feedstock Mixing With Variable Compositions And Empirical Validation, Muhammad Arif Mahmood, Sabin Mihai, Diana Chioibasu, Andrei C. Popescu, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Directed Energy Deposition (DED) is a promising technology for producing metal matrix composites (MMXCs), but precise control over deposited layer dimensions, particularly in multi-material systems, remains difficult to achieve due to the complex interdependence of operating parameters such as laser parameters, feedstock flow rate, and beam energy attenuation. To address these problems, this work proposes an analytical model that predicts the width, height, and depth of the deposited layers using mixed feedstock compositions in-situ, with a focus on Inconel-718 and TiC MMXCs. The model takes into account variables such as laser power, feedstock density, and mixing ratios to improve layer …

Bending Fatigue In Additively Manufactured Metals: A Review Of Current Research And Future Directions, Md Bahar Uddin, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Metal additive manufacturing (MAM), also referred to as 3D printing, has proven remarkable in the fabrication of complex metal components in multiple sectors. However, the assessment of this revolutionary process through bending fatigue is frequently impeded due to concerns about mechanical and physical conditions of the printed components. The unique layer-by-layer production process results in varied microstructures, anisotropy, and intrinsic defects that considerably differ from traditionally manufactured wrought metals. This review article aims to integrate and evaluate historical and contemporary research on the bending fatigue of additively manufactured materials. More specifically, the impact of process parameters, build orientation, surface conditions, …

Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair

Mechanical Engineering Faculty Publications and Presentations

Low-dimensional carbon nanomaterials have unique electron density distributions which warrant their classification as 1D and 2D, and they are useful for a wide variety of nanocomposite applications. This group includes 1D carbyne, which has high stiffness, and a 1D-2D hybrid composed of carbyne and a highly elastic cyclo[18] carbon ring (2D). We use density functional theory and molecular dynamics methods to study the interface properties of carbyne and the hybrid on Cu (111) surface and determine the mechanical properties of nanocomposites comprised of the nanomaterials as a fiber in Cu matrix at varying temperatures. We predict that on Cu (111) …

Systemic Racism In Canadian Healthcare: A Policy And Equity Analysis, Kola Adegoke, Abimbola Adegoke, Deborah Dawodu, Temitope Kayode

Health & Biomedical Sciences Faculty Publications

Background: In Canadian healthcare, systemic racism subverts commitment to universal coverage by building inequities into the system of governance, regulation, and clinical practice. Although racial disparities have been documented, little attention has been paid to how institutional structures perpetuate these inequities.

Objective: This study critically examines the organizational aspects of racism in the Canadian healthcare system. It aims to identify structural obstacles faced by racialized patients and foreign-trained physicians and to provide policy recommendations grounded in evidence.

Methods: The authors employed a narrative review framework for qualitative analysis of documents. Public inquiries (eg, Truth and Reconciliation Commission and Viens Report), …

Comparative Fire Hazards Of Lithium-Ion Battery Chemistries: Linking Thermal Behavior, Gas Toxicity, And State-Of-Charge To Composite Risk Profiles, Aamir Iqbal, Ashish Kakoria, Syed Talha Riaz, Jingmin Xu, Robert Illango Pushparaj, Guang Xu

Mining Engineering Faculty Research & Creative Works

Lithium-ion batteries (LIB) are widely used in electric vehicles (EVs) for their high energy density. However, their fire safety causes concerns because of the toxic gases emission and the challenge to extinguish. The type and quantity of toxic gases released during battery fires remain among the least studied hazards, with limited data available despite their serious health risks. This study examines the thermal and gaseous emission behavior of LIB cells after thermal runaway (TR). Five cell types, Lithium Iron Phosphate (LFP), Lithium Titanate (LTO), and three Lithium Nickel Manganese Cobalt oxide (NMC). The three NMC variants share the same base …