Digital Commons Network^™

K-Carrageenan Fabricated Γ-Irradiated Graphene Oxide Hydrogel: A Versatile Anticancer Nanodrug Carrier System, Samina Sarwar, Sumayya Aziz, Asif Raza, Tariq Yasin, Nuzhat Shafi

Turkish Journal of Chemistry

In this study, gamma-irradiated graphene oxide was incorporated into novel pH-responsive hydrogels. The biopolymer kappa carrageenan was blended with polyvinyl alcohol in a silane crosslinked biopolymer, and the effect of gamma irradiation dosage was studied. Nonhazardous tetraethoxysilane (TEOS) was used as a crosslinker. The hydrogels were characterized with chemical and thermal analysis, scanning electron microscopy, and structural analysis using a variety of analytical tools. The swelling behavior of fabricated hydrogels was assessed in various solution media. As the pH of the media increased, the swelling ratio of hydrogels decreased. All fabricated hydrogels had a high swelling ratio at acidic and …

Activation Of Propane On Ag–Pdo(101) Model Surfaces, Mustafa Karatok

Turkish Journal of Chemistry

Oxidation of alkanes remains a central challenge in catalysis due to the high activation barriers of C–H bonds and the thermodynamic favorability of complete oxidation. Palladium oxide (PdO), particularly its (101) facet, is known for its high reactivity in alkane oxidation, which is attributed to its coordinatively unsaturated palladium (Pd) and O atoms. In this study, we investigate the effect of silver (Ag) incorporation on the oxidation behavior of propane over PdO(101) using temperature-programmed reaction spectroscopy (TPRS) under controlled conditions. While pristine PdO(101) exhibits complete oxidation of propane with CO₂ and H₂O desorption at high temperatures (approximately 475 K), Ag …

Stable Mesoporous Nanocomposites Of Iminocyclohexanones Coordinated With Ca Montmorillonite, Omyma Abd Allah, Abdelhamid Elshater

Turkish Journal of Chemistry

Organomontmorillonite (organo-MMT) nanocomposites are widely used in environmental, food, and pharmaceutical applications. However, their weak adsorption and ionic exchange forces during synthesis can make them unstable and unreliable. In this study, we present a novel synthesis of stable mesoporous iminocyclohexanone-Ca-MMT nanocomposites through a green, rapid, one-pot reaction. The synthesis reaction between Ca-MMT clay suspended in water and a dioxane solution of 1,3-cyclohexanedione and 4-aminophenol at 2 temperatures (60 °C and 110 °C) completed in a short reaction time. The resulting nanocomposites were characterized using X-ray diffraction, Fourier transform infrared spectroscopy, nuclear magnetic resonance UV–visible spectroscopy, and advanced software tools. Surface …

Levothyroxine Combined With Selenium Nanoparticles In One Liposomal Delivery System For Hypothyroidism, Eylül Atan, Güli̇z Ak

Turkish Journal of Chemistry

Levothyroxine, as a thyroid-stimulating hormone, is the primary drug used for hypothyroidism treatment, but it has poor bioavailability. Selenium (Se) plays an important role in regulating thyroid function; moreover, selenium nanoparticles (SeNPs) offer advantages over other Se forms. Liposomal delivery systems, especially those coated with polyethylene glycol (PEG), can increase the oral bioavailability of drugs and provide controlled release. In our research, as described in this paper, we aimed to develop an orally applicable liposomal delivery system to achieve enhanced treatment of hypothyroidism with SeNP characteristics, controlled levothyroxine release, and improved bioavailability of both drug and SeNPs. The SeNPs have …

Eco-Friendly Synthesis Of Carob- And Ginger-Modified Gold Nanoparticles For Enhanced Catalytic Applications, Muradi̇ye Şahi̇n, İlkay Hi̇lal Gübbük, Mustafa Ersöz

Turkish Journal of Chemistry

This study aimed to investigate the catalytic performance of gold nanoparticles (AuNPs) obtained by using ginger and carob antioxidant plants as reducing and stabilizing agents. In the first stage of the study, AuNPs were successfully produced using these herbal extracts via a green synthesis method, without the need for toxic chemicals, in a sustainable, economical, rapid, energy-efficient, and easy way. In the second stage, the structural analysis and catalytic applications of the obtained AuNPs were investigated. Advanced techniques such as Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), UV-Vis spectroscopy, and energy …

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 …

New University Of Dayton Spaces To Train 5g Broadband Infrastructure Workforce, University Of Dayton

News Releases

A new interactive 5G broadband teaching lab in the University of Dayton School of Engineering, funded in part by $4.26 million from the state of Ohio, will help train a workforce to develop a 5G broadband infrastructure in 12 Ohio counties.

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

Crow's Nest

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

Accessible Biocatalyst Development By Rapid In Vitro Semi-Rational Engineering (Rise) Of Enzymes, András Telek, Viktor Gaják, Gergő Dargó, Jan Mican, David Bednar, Beáta G. Vértessy, Gábor T Asnádi

Enzyme Engineering XXVIII

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Engineering Promiscuous Aryl Acylamidases For Pesticide Bioremediation, Thierry Marti, Diana Schweizer, Milo Schärer, Yaochun Yu, Serina L. Robinson, Silke Probst

Enzyme Engineering XXVIII

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Enzymes Of The Future Are Built Bottom – Up: Sam-Independent Methyltransferases, Matthew Thompson

Enzyme Engineering XXVIII

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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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Enzyme-Based Multiplex Biosensors For Biosynthetic Intermediates, Yoshiki Takemura, Yuki Kimura, Daisuke Umeno

Enzyme Engineering XXVIII

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Redesigning Specificity Of Betaine Synthase Using Substrate-Induced Stabilization, Haruki Uryu, Yuki Kimura, Daisuke Umeno, Taro Watanabe

Enzyme Engineering XXVIII

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Machine Learning-Guided Engineering Of Galactose Oxidase For Enhanced Activity On Non-Galactose Carbohydrate Substrates, Julia Gordijo, Jose Barraza Chavez, Xuebin Feng, Prof. Emma Master, Benjamin Sanchez

Enzyme Engineering XXVIII

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

Enzyme Engineering XXVIII

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Fast And Scalable Directed Evolution Of A Methyltransferase Family By In Silico Stability Prediction, Lucas Bocquin, Stephan C. Hammer

Enzyme Engineering XXVIII

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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 …

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 …