Digital Commons Network^™

Electrospun Nio/Carbon Nanofiber Hole Transport Layers For Perovskite Solar Cell Performance, Thanh Tung Pham, Dan Thuy Van Pham, Viet Nhan Hoa Nguyen, Van Hong Thien Doan

Turkish Journal of Chemistry

Rapid technological advancement has increased energy consumption, environmental pollution, and climate change, necessitating sustainable sources of energy. Solar energy is appealing because it is renewable and has minimal environmental impact. However, the complex fabrication and high costs of conventional silicon solar cells have driven research into alternative technologies like perovskite solar cells (PSCs). This study investigates the use of electrospun nickel oxide (NiO)/carbon nanofibers as efficient hole-transporting layers in PSCs. NiO nanomaterials were synthesized via coprecipitation and integrated into polyvinyl alcohol nanofibers through electrospinning at an optimized concentration of 20 g/L, producing uniform nanofibers with mean (SD) diameter of 136 …

Synthesis Of Vinyl Esters Of Aromatic Carboxylic Acids In The Presence Of Zn/Sioc, Zno/Sioc, And Ni/Sioc Catalytic Systems, Shavkat Tursunov, Askar Parmanov, Suvankul Nurmanov, Odiljon Ziyadullayev, Dilshod Boykobilov, Liudmila Khoroshko, Monika Wilamowska-Zawlocka, Balanand Santhosh, Olim Ruzimuradov

Turkish Journal of Chemistry

In this work, various aromatic monocarboxylic and dicarboxylic acids were subjected for the first time to a vinylation reaction with acetylene under heterogeneous catalytic conditions using catalytic systems based on silicon oxycarbide supported on silicon carbide (SiC): zinc silicon oxycarbide (Zn/SiOC), zinc oxide silicon oxycarbide (ZnO/SiOC), and nickel silicon oxycarbide (Ni/SiOC). The influence of the nature of the starting materials, temperature, reaction duration, solvent, and catalyst type on the yield of vinyl esters was investigated. The vinylation reaction of aromatic carboxylic acids with acetylene was carried out at 1:2 molar ratio, using a Zn/SiOC-50 catalytic system at a loading of …

Behavioral Emergency Response Team: Decrease On-The-Job Injuries By Promoting Safety: A Pilot Study, John C. Fabela, Leticia Flores-Canchola

Creating Healthy Work Environments (CHWE)

An acute care unit introduced a multidisciplinary Behavioral Emergency Response Team. Behavioral Emergency Response Team prevents workplace violence by de-escalating behavioral emergencies, thus, decreasing on the job injuries. Behavioral Emergency Response Team intervenes with patients who are verbally or physically threaten harm to self, others, or property.

Detailed abstract attached.

Posttraumatic Growth Experienced By Us Nurses: A National Study, Linda H. Yoder, Jacqueline M. Gordon, Noah R. Zanville

Creating Healthy Work Environments (CHWE)

Post-traumatic growth (PTG) experienced by US nurses who provided care during the COVID-19 pandemic has not been examined. The findings from this multisite study of over 2,000 nurses provide information about the various factors of PTG that were experienced. Recommendations to promote PTG among nurses will be provided.

Detailed abstract attached.

Utilizing A Qr Code To Promote Interprofessional Collaboration And Education, Caitlin Marion

Creating Healthy Work Environments (CHWE)

This presentation reviews a cost-saving, multidisciplinary effort to provide just-in-time education for nurses and clinicians. Using a QR code, nurses and clinicians can review clinical pearls, medication dosing, and access videos in real time. The content can be updated at any time while the QR code remains the same.

Detailed abstract attached.

Evaluating Correlates Of Healthy Eating And Dietary Quality Among Older Adults: A Mixed Methods Approach To Development And Application Of A New Survey Instrument, Sara K. Rosenkranz, Donya Shamati, Anna Biggins, Alissa Mick, Christopher Acosta, Richard R. Rosenkranz

Kinesiology and Nutrition Sciences Faculty Research

Objectives: Community-dwelling older adults face unique challenges related to nutrition and health, but little is known about their barriers and facilitators for healthy eating behaviors. This study sought to develop and evaluate a new instrument to measure the capability, opportunity, and motivation for healthy eating behaviors (COM-HE) among community-dwelling older adults.

Design: A mixed methods approach was used to obtain qualitative and quantitative data. Participants were aged 65 years or older, community-dwelling, and English-speaking. Participants engaged in focus groups (n = 12) and pilot-testing (n = 81) to evaluate the COM-HE instrument. The Rapid Eating Assessment for Participants – Shortened …

Fostering Efl Students’ Writing Strategy Using Metacognitive Instruction, Hanan N/A Al Sultan Dr.

Journal of Arabic Sciences and Humanities

This study aims to enhance the writing strategy skills of Saudi female EFL students by integrating metacognitive instruction into essay writing tasks. With a one-group quasi-experimental design, the research included 34 participants. A pretest and post-test were conducted, followed by a questionnaire to explore participants’ experiences with the intervention. The instructional approach emphasised students’ awareness and regulation of metacognitive processes during writing – specifically planning, monitoring, and evaluating. Data were collected and analysed using a sequential mixed-methods explanatory design, beginning with quantitative analysis and followed by qualitative insights to enrich interpretation. The findings revealed a statistically significant improvement in students’ …

Nurse Satisfaction Of Unit-Based Annual Competency Education, Beth Tremblay, Catherine A. Thompson

Creating Healthy Work Environments (CHWE)

Direct care nurses need accessible, effective, and convenience ways to stay up to date and demonstrated clinical competencies. Unit based education can provide an alternative to the traditional annual competency skill fair and increase nurse workplace satisfaction through brining customized mandatory education to the nurse.

Detailed abstract attached.

Crow's Nest, October 20, 2025, Crow's Nest Staff

Crow's Nest

The October 20, 2025 issue of Crow's Nest.

Machine Learning For Scalable Molecular Dynamics And Evolution-Aware Protein Design, Pavel Kohout, Guillem Casadevall, Jiri Damborsky, Sílvia Osuna, Stanislav Mazurenko

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 …

Genetic Influences For Distinct Impulsivity Domains Are Differentially Associated With Early Substance Use Initiation: Results From The Abcd Study, Ethan Kinstler, Aaron J Gorelik, Sarah E Paul, Adamya Aggarwal, Emma C Johnson, Melissa A Cyders, Arpana Agrawal, Ryan Bogdan, Alex P Miller

2020-Current year OA Pubs

BACKGROUND: Impulsivity is among the strongest correlates of substance involvement (i.e. a broad continuum of substance-related behaviors), and distinct domains (e.g. sensation seeking [SS] and urgency) are differentially correlated, phenotypically and genetically, with unique substance involvement stages. Examining whether polygenic influences for distinct impulsivity domains are differentially predictive of early substance use initiation - a major risk factor for later problematic use - may improve our understanding of the role of impulsivity in addiction etiology.

METHODS: Data collected from participants of genetically inferred European ancestry enrolled in the Adolescent Brain Cognitive Development Study

RESULTS: SS-PGS was significantly associated with any …

U.S. Catholic Special Collection Joins The Marian Library, Stephanie Shreffler

Marian Library Blog Archive

Supporting mission-critical research into Catholic social teaching and the Catholic intellectual tradition, the USCSC is entering into a new era of growth and outreach.

An Interview With An Instagram Archivist: @404mph Interviews @Onlystarleft, 404mph (On Instagram)

Digital Laboratory: Publisher of Internet Journal

An Interview with an Instagram Archivist: @404MPH Interviews @ONLYSTARLEFT is a dialogue conducted entirely through iMessage, presented as both a publication and a designed artifact. Within this text exchange, the conversation navigates themes of digital preservation, authorship, and self-curation—examining how social media aesthetics transform personal experience into collective memory. @ONLYSTARLEFT reflects on the act of archiving not as static documentation but as a living, participatory practice shaped by the speed and impermanence of online culture. Formally, the project recognizes the iPhone as a cultural mediator—its interface shaping not only how we communicate, but how we perceive and construct value within …

When Creative Practice Becomes Research, James Kelly

Staff Scholarship - Australia & Dubai

This seminar examines approaches to practice and research within an academic context, with particular reference to the academic scholarship framework at SAE University College. It introduces distinctions between creative practice and research, demonstrating how disciplinary practice may be transformed into recognised scholarly output when it is contextualised within a theoretical framework, critically reflective, and disseminated for peer engagement.

Drawing on methodologies by Candy (2006), Skains (2018), and Barrett (2019), the presentation outlines methodological models for Practice-as-Research (PaR), Practice-Based Research (PBR), Practice-Led Research, Research-Led Practice, and hybrid approaches. It highlights the iterative and open-ended character of creative research processes, in which …

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 …

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.

Adjudicating Atrocity: Reading Hitesh Verma V State Of Uttarakhand As A "Landmark" Case In The Judicial Discourse On Caste Violence, Tejaswi Chhatwal

Socio-Legal Review

This article critically examines the Supreme Court’s judgment in Hitesh Verma v State of Uttarakhand (2020) and argues for reading it as a “landmark trial” in the judicial undoing of reform—namely, the statutory changes introduced by the 2016 Amendment to the Scheduled Castes and Scheduled Tribes (Prevention of Atrocities) Act 1989. Existing socio-legal scholarship on atrocity jurisprudence has shown that the judicial understanding of caste violence and doctrinally instituted evidentiary standards have historically operated to invisibilise caste from crime’s framework. As a result, most instances of caste-based discrimination and violence have not been named as offences of “atrocity” under the …

A Brief List Of 10 Important Guidelines For Prospective Sbg Authors, Josephine A. Ruggiero

Sociology Between the Gaps: Forgotten and Neglected Topics

No abstract provided.

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 …