Digital Commons Network^™

Digital Enzyme Evolution: Creation Of A Fully Digitalized Enzyme Engineering Platform, Demonstrated Through The Multiparameter Engineering Of Imine Reductases (Ireds), Andrew Currin

Enzyme Engineering XXVIII

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Influences On Emergency Clinician Use Of Health Information Exchange: Interview Study, Brian E. Dixon, Umesh Ghimire, Benjamin Richter, Corinne Bowditch, Saurabh Rahurkar, John T. Finnell, Joshua R. Vest

Division of Internal Medicine Faculty Papers & Presentations

BACKGROUND: Health information exchange (HIE) supports clinical decision-making in emergency medicine settings. Despite evidence and policies that encourage the adoption of HIE, use by clinicians is limited. Moreover, few studies examine HIE use years after adoption by hospitals or clinics.

OBJECTIVE: This study aims to examine the perceptions and use of a mature, operational HIE system by emergency department clinicians years after its implementation.

METHODS: We interviewed 21 clinicians in various roles (eg, attending physician and nurse practitioner) across multiple health systems that participate in a statewide HIE network. We asked questions about their use of the HIE system and …

Enzyme Engineering For Improving Thermostability Of Endolysin, Sasina Premjaichon, Penchit Chitnumsub, Ubolsree Leartsakulpanich, Pimchai Chaiyen

Enzyme Engineering XXVIII

Please click Additional Files below to see the full abstract

Examining Children’S Intuitive Understanding Of Mechanical Systems With A Gears Assembly Task, Nicole Taboada

Theses

Children’s causal reasoning about machines and their components is crucial for acquiring knowledge about science and math. Mechanistic understanding involves knowing how parts can be effectively connected to work together as a functional mechanical system. Little is known about how children’s understanding of mechanical systems develops across the lifespan. Legare and Lombrozo (2014) developed a gears assembly task to assess children’s understanding and learning of mechanics but did not track this skill across ages. The present study adapted the gears assembly task to measure mechanistic understanding in children between the ages of 4 to 11 years and adults. The goal …

Multisource Information Fusion Method For Human Gait Perception, Guiliang Chen, Guowei Liu, Yongchao Li, Chao Cai, Zihao Li, Dong Yang

Journal of System Simulation

Abstract: In response to the insufficient gait perception capability during lower limb exoskeleton assistance, a human lower limb gait phase optimization classification model was proposed. A wireless transmission gait information collection system was designed for collecting the required gait phase feature information. Human joint angles were accurately calculated by fusing acceleration and angular velocity information using extended Kalman filtering. Additionally, kernel principal component analysis was applied to reduce dimensionality in conjunction with plantar pressure data. The LSSVM algorithm was employed to classify gait data, and the PSO algorithm was utilized to find the optimal classification parameters. Experimental results demonstrate that …

Clinical Course And Treatment Outcomes In Solid-Basaloid Adenoid Cystic Carcinoma Of The Breast: A Systematic Review And Case Report, Stephanie Kim, Kyle Sheth, Xiaoying Yu, Laura Porterfield, Elizabeth M Vaughan

Faculty, Staff and Students Publications

Background: Adenoid Cystic Carcinoma (ACC) is a rare, indolent subtype of triple-negative breast cancer, accounting for < 0.1 % of cases. The solid-basaloid subtype (SBACC), comprising approximately one-quarter of breast ACCs, has a poorer prognosis. While ACC is typically managed with surgery and is chemo-resistant, SBACC is more aggressive and often treated with chemotherapy and, more recently, immunotherapy-though supporting evidence remains limited.

Aim: To assess clinical characteristics and treatment outcomes of SBACC of the breast.

Methods: This study presents a case of breast SBACC and a systematic review of five databases (inception-September 10, 2024). Eligible studies reported clinical course, treatment, and outcomes. Exclusions included duplicates, non-SBACC focus, animal studies, and those lacking clinical or with only pathological data. Descriptive statistics were used for binary and categorical variables. Risk of bias was assessed using JBI tools, following PRISMA 2020 guidelines. The review is registered in PROSPERO.

Results: …

How Fair Workweek Laws Affect Labor Markets: A New York City Case Study, Joseph Pickens, Aaron Sojourner

Upjohn Institute Policy and Research Briefs

No abstract provided.

Reflecting On Teaching Together And Alone: Preservice Teachers’ Processes Of Knowledge Construction In Writing And Discussion, Ulrike Hartmann, Marcus Kindlinger, Kati Trempler, Anna-Lena Molitor, Helenrose Fives

Department of Educational Foundations Scholarship and Creative Works

Understanding how preservice teachers (PSTs) engage with knowledge of educational sciences through reflective practice is critical to improving teacher education. This study investigates how PSTs construct knowledge when analyzing a complex classroom situation and explores how a reflective task format—individual essay writing or collaborative group discussion—shapes the types and quality of knowledge construction processes involved. Drawing on frameworks of reflective practice and epistemic cognition, we developed a coding scheme to identify five knowledge construction processes and three levels of implementation quality. Using data from a university-based teacher education course, we applied this scheme to PSTs’ written essays and transcribed group …

Intouch Week Of October 20, 2025, New York Medical College

InTouch

• New Obstetrics and Gynecology Residency Program Established
• Building Bridges for Better Health
• Fire Safety Training Events for Students, Faculty, and Staff
• TCDM Prepares Dental Professionals to Meet New Mexico’s Evolving Needs
• In the Community-NYMC Advances Children’s Environmental Health Initiatives Across New York State
• Alumni Spotlight: Deena Casiero, M.D. '06, Advancing the Game of College Sports Medicine

Workplace Violence: Innovative Interprofessional Learning Bursts, Beth Egbert, Jedidiah Colon-Huertas, Jacqueline M. Gordon

Creating Healthy Work Environments (CHWE)

Viewers will be able to describe an innovative interprofessional strategy to implement the Joint Commission's Workplace Violence Prevention education and training standards amidst the current challenging work and learning environment. Education bursts delivered by an occupational health nurse and security officer team are described.

Detailed abstract attached.

10.20.2025 Ored Connect, Liz Williamson

ORED Newsletter

• OTC Director Candidate Forum
• ORED Small Grants Program RFP

Distributed Dispatch Method For Distribution Network And Microgrid Considering Diverse Regulating Resources, Yanbo Chen, Jiahao Yin, Tuben Qiang, Haoxin Tian, Yuxin Liang, Zhi Zhang

Journal of System Simulation

Abstract: Traditional centralized optimization-based dispatch methods for distribution networks struggle to balance the interests of multiple stakeholders while ensuring economic efficiency and operational reliability of the system. To address this issue, a distributed dispatch method for distribution network and microgrid considering diverse regulating resources was proposed. The operational models of the distribution network and microgrid were established by comprehensively incorporating active management elements and demand response mechanisms. A fuzzy chance-constrained method was employed to model the uncertainty in renewable energy output, thereby constructing a coordinated optimization dispatch model for distribution network and microgrid under renewable generation uncertainty. An improved goal …

Deep Learning Modeling Of Multi-Scale Characteristics Of Large-Scale Wind Turbine Gearbox, Yang Hu, Zihao Li, Deyi Fu, Ziqiu Song, Fang Fang, Jizhen Liu

Journal of System Simulation

Abstract: To address challenges in characterizing high-frequency vibrations of wind turbine gearboxes, the long computation time of rigid-flexible coupled multi-body dynamics models, and the complexity of configuring gearbox models across multiple scenarios, this study proposed a deep learning modeling method for multi-scale operation using full-condition digital testing. The study proposed a cascaded extended simulation scheme based on stream data-driven OpenFAST and Adams and utilized dynamic mode decomposition technology to construct a multi-scale dataset for the flexible multi-body dynamics characteristics of the gearbox under all operating conditions of the wind turbine. Based on this dataset, a digital surrogate model covering multiple …

Optimal Scheduling Of Integrated Energy Systems Considering Source-Load Uncertainty And Linear Carbon Trading, Huaping Zhong, Yubo Fan, Jijun Shui, Danhao Wang, Daogang Peng

Journal of System Simulation

Abstract: In order to overcome the impact of source-load uncertainty on the scheduling of integrated energy systems (IES) and reflect the flexibility of the carbon trading price with the change in trading volume, an optimal scheduling method for integrated energy systems considering source-load uncertainty and linear carbon trading was proposed. The equipment within the IES was modeled, and nonparametric kernel density estimation was used to obtain the probability density function for each time period, generating the set of scenes through Monte Carlo simulation and calculating the probability of each scene. For the time shift of wind and solar output peaks …

Optimization Dispatch Method For High-Proportion Renewable Energy Power Systems Based On Sc-Ppo, Zhongkai Xu, Chenyang Chu, Kai Xie, Ruizhuo Zhao, Wenjun Ke

Journal of System Simulation

Abstract: The high proportion of renewable energy integration brings significant challenges of randomness, multi-objective coupling, and security constraints to power systems. Traditional model-driven methods have limitations in modeling accuracy and adaptability. To address these issues, this paper proposed a safety-constrained PPO algorithm (SC-PPO). The method included three improvements. A temporal convolutional network was utilized to construct a dynamic state encoder that integrated historical operation, real-time monitoring, and prediction data to form a causal state representation. A hierarchical reward structure was designed, and an adaptive weighting mechanism based on constraint satisfaction degree was introduced to coordinate multi-objective optimization. Physical constraint projection …

Microsimulation Of Infectious Disease Transmission Considering Virus Release, Transmission, And Action, Zhiming Fang, Shengdong Yuan, Ge Huang, Jingqian Yang, Zhongyi Huang

Journal of System Simulation

Abstract: Existing infection risk assessment methods mostly evaluate infection probability through mathematical models or simulation, but they lack analysis of the relationship between air circulation and individual infection probability. This study proposed a risk prediction model for infectious disease transmission based on indoor air circulation. At the microscopic scale, the space was discretized into grid points. By integrating CFD numerical simulation, the entire process of virus droplet release, transmission, and action was fully simulated. The simulation results show that in an obstacle-free room, the error between the total indoor viral load predicted by the model under windless and low wind …

Path Planning For Mobile Robots Based On Improved Rrt-Connect And Dwa Fusion, Yi Luo, Jia Deng

Journal of System Simulation

Abstract: To improve the efficiency and quality of dynamic path planning for mobile robots in complex environments, this paper proposed a path planning algorithm that combined an improved RRT-connect with the DWA. Two expanding random trees were introduced for alternating expansion, and a dynamically restricted sampling area was set to reduce the randomness of the sampling process while ensuring the probability completeness of the algorithm. A target bias adaptive step size strategy was employed to enhance the target orientation of the random tree expansion process. A greedy strategy was adopted to prune redundant nodes in the path and smooth the …

Modeling And Simulation Of Traffic Signal Control Based On Mlp With Improved Gcn-Td3, Deqi Huang, Yating Tu, Zhenhua Zhang, Xin Guo

Journal of System Simulation

Abstract: To address the issues of uneven traffic flow at urban intersections, limited road capacity, and the poor coordination of existing traffic signal control algorithms, a traffic signal control algorithm based on graph convolutional reinforcement learning was proposed. By utilizing a multilayer perceptron, the dynamic features of vehicles and phase information at the controlled intersection and its neighboring intersections were extracted. A graph convolutional neural network was then employed to aggregate these vehicle dynamic features into potential features representing regional traffic. The control strategy was derived through multiple iterations of an improved twin delayed deep deterministic policy gradient (TD3) algorithm. …

Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework, Hao Gu, Jiayu Wang, Weili Xiong

Journal of System Simulation

Abstract: Industrial process information is highly nonlinear and dynamic, with long-term dependencies between data, making it difficult to adequately extract time-series features. To address this issue, an improved Transformer-based soft sensor model in a dual-stream framework was proposed. The data were segmented and expanded. The features were extracted in parallel using a dual-stream structure combining a convolutional neural network with a self-attention mechanism and the improved Transformer model. The dual-stream features were fused for soft sensor regression. Residual connections were further introduced to accelerate the convergence speed of the model, and an orthogonal random features-based improved multi-head attention mechanism was …

An Improved Virtual Terrain Generation Method Based On Simplex Noise, Bo Shen, Jianqin Zhang, Shuaibao Ma, Zheng Wen

Journal of System Simulation

Abstract: To address the issues of high computational complexity, slow generation speed, and insufficient realism present in traditional virtual terrain generation methods, this study proposed an improved virtual terrain generation method based on Simplex noise. This method leveraged the advantages of Simplex noise, such as high computational efficiency, low hardware overhead, and more natural randomness, to construct a basic terrain template. A fractal algorithm was introduced to enhance the level of terrain details through the superposition of noises with multiple frequencies and amplitudes. With the integration of a turbulence algorithm, random perturbations and complexity were added to further improve the …

Research On Constrained Programming Of Manipulator Using Rrt* Algorithm And Ellipse Prior, Zhen Yang, Li Su, Zhiyu Cheng

Journal of System Simulation

Abstract: There are problems in the traditional RRT* algorithm using a uniform sampling strategy applied in constrained programming problems, such as inaccurate turning guidance of sampling points and unnecessary node cost comparisons, which lead to an increase in additional time costs. To address these issues, an improved RRT* algorithm was proposed. This algorithm leveraged a heuristic function cost of the projected sampling points to make an ellipse prior judgment on the sampling points. Based on the ellipse prior, the sampling points were judged to determine whether they could optimize the path and shorten the programming time. The geodesics were used …

Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework, Ning Wang, Jianlin Mao, Dayan Li, Chengyuan Fang, Chengze Qian

Journal of System Simulation

Abstract: To address the energy optimization problem in multi-robot path planning, this paper proposed a multi-robot path planning algorithm based on the energy-guided hierarchical cooperative A* (E-HCA*) algorithm. To address the issue of robot oscillations caused by mutual avoidance at bottlenecks and narrow passages in multi-robot systems, a node expansion method with path length as a secondary feature was introduced, and a greedy suppression strategy under the cooperative A* framework was proposed. A differential-drive robot energy consumption model was established, and an energy-guided heuristic function was constructed by integrating energy metrics into the underlying A* algorithm to guide low-energy path …

Robust Identification Of Dual-Rate Sampled Nonlinear Systems Based On Salr Network, Wenbin Jiang, Yuqing Cao, Li Xie, Huizhong Yang

Journal of System Simulation

Abstract: A robust identification algorithm based on the self-join adjacent-feedback loop reservoir (SALR) network was proposed for dual-rate sampled nonlinear systems with complex nonlinear characteristics and measurement outputs containing outliers. The SALR network was applied to describe the nonlinear characteristics of the target system, and wavelet neurons were injected into the reservoir to enhance its memory and nonlinear description capabilities. The identification problem of the nonlinear system was transformed into the identification problem of the network's output weight matrix. The Huber loss function was used to construct the criterion function, and an error threshold was introduced to improve the robustness …

Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li

Journal of System Simulation

Abstract: In order to reduce cost losses caused by delivery delays, distributed heterogeneous hybrid flowshop scheduling problems under combined buffer conditions of finite buffer and zero-wait were studied. A hybrid estimation of distribution algorithm based on Q-learning was proposed to minimize total weighted earliness and tardiness. For the combined buffer, dynamic decoding was designed based on the average factory allocation strategy and the shortest path method. The initial job group was optimized by reverse learning. Q-learning was embedded in the probabilistic model for intelligent searching and updating based on the group state. Reconstruction of the job group was completed using …

Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions, Xinhuan Ding, Huaqing Wang, Xu Dang

Journal of System Simulation

Abstract: In order to alleviate urban road congestion and improve the traffic and environmental benefits at intersections, a multi-objective timing optimization model with total delay time, total number of stops, capacity, and total tailpipe emission at intersections as optimization objectives was developed. The model incorporated tailpipe emissions into a mathematical optimization model and quantified the mathematical relationship between traffic efficiency indicators and tailpipe emissions by constructing a specific power-based algorithm for measuring total tailpipe emissions. According to the intersection delay time and the number of stops, the total tailpipe emissions could be estimated. Both the NDX crossover operator and the …

Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter, Bingli Liu, Jiarong Wu, Lin Yang, Dinglin Yan

Journal of System Simulation

Abstract: To reduce the cross-interference in the single-inductor dual-output (SIDO) Boost converter and to enhance the output accuracy and stability of the system, the parasitic resistances of the circuit components were considered, and a three-degree-of-freedom internal model sliding mode control strategy was proposed for the non-ideal SIDO Boost converter. An affine nonlinear mathematical model of the non-ideal SIDO Boost converter was established, and the nonlinear system was linearized and decoupled into two linear subsystems based on the differential geometry theory. The linear subsystem was designed as a three-degree-of-freedom internal model controller and a sliding mode controller, respectively. The robustness …

A Comparison Of Mathematics Intervention Methods: Overcoming Learning Loss Caused By Covid-19, Adam Goosby

College of Education

The COVID-19 pandemic created unprecedented disruptions to the educational system and exposed weakness within the structures that resulted in measurable regression in student achievement across all academic domains, but most notably mathematics. The purpose of this study is to investigate the impact of two distinct methods of mathematics interventions provided to middle-grade students with the intent to begin to overcome the learning loss. Through the lens of the Expectancy-Value theory, the study emphasizes the importance of mathematics achievement and its role in building student capacity and establishing a growth mindset. The study employed a series of repeated-measures ANOVAs and a …

Goals Reconsidered: From Brute Prelusory States Of Affairs To The Lusory Complexity Of Sport, Francisco Javier López Frías

Kinesiology and Health Science Faculty Publications

In this paper, I examine Bernard Suits’ conceptualization of goals in his influential definition of gameplay, focusing on how his account falls short of capturing the complexity of sporting practices. Suits famously describes games as voluntary attempts to overcome unnecessary obstacles in achieving an identifiable state of affairs. By referring to this state of affairs as the prelusory goal of games, he frames gameplay as structured teleologically around this goal, converting it into the most fundamental element of his notion of gameplay. Although elegant and very intuitive, this conception of games raises tensions when applied to the complex, multilayered activities …

Aaa Wellness Connection: Awareness, Assistance, And Advancement To Promote Associate Well-Being, Hephzibah Edwin, Rachel Watkins

Creating Healthy Work Environments (CHWE)

This educational activity describes an organization's commitment and leadership support to promoting a healthy work environment. The project explores the engagement of associates through the organizational wellness connection using a AAA model - to promote awareness, assistance, and attainment of associate well-being and foster their physical and emotional health.

Detailed abstract attached.

Healthy Academic Work Environment: Creating And Sustaining A Culture Of Civility, Bettina Kay Cobb Shank, Amy Camille Conner Black, Mary Eve Rice

Creating Healthy Work Environments (CHWE)

Learn about our nursing school’s deliberate attempt to foster nurses who are civil and caring in practice. We will share our ongoing journey promoting and sustaining a civil and caring academic work and learning environment. Leave with key actionable ways to implement this shared decision-making process in your academic setting.

Detailed abstract attached.