Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 57181 - 57210 of 1826775

Full-Text Articles in Entire DC Network

Implementation And Assessment Of The Openbci Platform As An Accessible Brain- Computer Interface, Jewell Norris Nov 2025

Implementation And Assessment Of The Openbci Platform As An Accessible Brain- Computer Interface, Jewell Norris

Honors Theses

OpenBCI is a low-cost, open-source platform for alternative brain-computer interface (BCI) software and hardware. This thesis evaluates OpenBCI’s electroencephalogram (EEG) and electromyography (EMG) capabilities by constructing and testing a 16-channel EEG system using the Ultracortex Mark IV headset and Cyton + Daisy biosensing board. The viability of the system was assessed through real-time BCI control and comparison to a clinical-grade EEG system. Real-time BCI control of an online falling-block game was tested via the use of eye blinks EMG (channels Fp1/Fp2) and head-tilt accelerometer inputs. The BCI game demonstrated reliable control despite minor latency and artifact sensitivity. For clinical comparison, …

Go to article

Colorectal Cancer: Differential Gene Expression And In Vitro Response To 5-Fluorouracil, Novel Fluoropyrimidine F10, And Potential Synergy With Lupeol, Shrey D. Thaker, Jenny Paredes, Jone Garai, Laura A. Martello, William H. Gmeiner, Jovanny Zabaleta, Jennie Williams Nov 2025

Colorectal Cancer: Differential Gene Expression And In Vitro Response To 5-Fluorouracil, Novel Fluoropyrimidine F10, And Potential Synergy With Lupeol, Shrey D. Thaker, Jenny Paredes, Jone Garai, Laura A. Martello, William H. Gmeiner, Jovanny Zabaleta, Jennie Williams

School of Medicine Faculty Publications

Colorectal cancer (CRC) remains one of the most lethal malignancies in the United States, with African American (AA) patients experiencing disproportionately higher incidence and mortality compared to Caucasian Americans (CAs). These disparities have been linked to tumor-intrinsic genomic differences, including microsatellite instability (MSI) and p53 mutation status, which may influence chemotherapeutic response, particularly to the standard-of-care agent 5-fluorouracil (5-FU). However, mechanistic insights have been limited by the lack of racially diverse preclinical models. Here, we evaluated the efficacy of F10 (a novel fluoropyrimidine polymer) vs. 5-FU using AA- and CA-derived CRC cell lines with distinct MSI and p53 profiles. MTT …

Go to article

Esg Performance Evolution In Retail: A Systematic Review And Meta-Analysis, Jiyeon Kim Ph.D., Wooyoung Yang Nov 2025

Esg Performance Evolution In Retail: A Systematic Review And Meta-Analysis, Jiyeon Kim Ph.D., Wooyoung Yang

Faculty Publications

Environmental, social, and governance (ESG) practices have transformed from peripheral corporate social responsibility initiatives into core strategic imperatives in retail. Despite growing interest, the literature remains fragmented across disciplines and geographic contexts, with no comprehensive sector-specific analysis examining the evolution of ESG performance in retail contexts. Following the PRISMA 2020 guidelines, we conducted a systematic review and meta-analysis of 127 empirical studies published between 1988 and 2024 across major databases. Random-effects models assessed ESG-performance relationships, while stakeholder theory, the resource-based view, and Consumer Behavior frameworks explained the underlying mechanisms through temporal and subsectoral analysis. ESG practices demonstrate significant positive correlations …

Go to article

Why Some Adventurers Chase Danger To Find Meaning, Jordan Karnbach Nov 2025

Why Some Adventurers Chase Danger To Find Meaning, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – Climbing mountains or going adventuring in hostile terrain can be dangerous, even life-threatening. But a University of Mississippi marketing professor found the old adage that "with great risk comes great reward" holds clues to why thrill-seeking is so satisfying.

Go to article

Nursing Students As Advocates: Addressing Social Determinants Of Health Through Service-Learning, Rebekah Mullins Nov 2025

Nursing Students As Advocates: Addressing Social Determinants Of Health Through Service-Learning, Rebekah Mullins

Nursing Theses and Dissertations

Advocacy is at the heart of nursing practice, and advocating for the social determinants of health (SDOH) is crucial when providing care to patients from vulnerable populations. Service-learning is a strategy that can be used to teach students advocacy skills. Chapter 2 of this dissertation portfolio presents a concept analysis that explores the definition of advocacy using the Walker and Avant method (2019). The concept analysis informed the development of the case study presented in Chapter 3 and the research study presented in Chapter 4. The portfolio includes original, qualitative research that was guided by the interpretive descriptive method. The …

Go to article

Love At A Distance: Exploring Perceptions Of Long-Distance Relationships Through Q Methodology, Ljubica Ivanovic Klobcic Nov 2025

Love At A Distance: Exploring Perceptions Of Long-Distance Relationships Through Q Methodology, Ljubica Ivanovic Klobcic

Theses and Dissertations

With technology advancing and making it easier for individuals to connect and keep in touch, long-distance romantic relationships (LDRRs) have become increasingly common. While some people thrive in these relationships despite physical separation, others find the experience stressful and unsatisfying. This study explores how individuals perceive and navigate LDRRs and what their experiences are. Using Q methodology, participants sorted and ranked statements related to their experiences. Factor analysis revealed three unique groups: Traditional Romantics, who see their relationships in traditional terms despite technology use; Debbie Downers, who perceive distance as a burden and do not feel that technology improves their …

Go to article

Improvement Of Slam Localization Accuracy In Ar By Enhancing Yolov8, Jia Liu, Zengwei Zhang, Dapeng Chen, Nanxuan Huang, Bin Wang, Hong Song Nov 2025

Improvement Of Slam Localization Accuracy In Ar By Enhancing Yolov8, Jia Liu, Zengwei Zhang, Dapeng Chen, Nanxuan Huang, Bin Wang, Hong Song

Journal of System Simulation

Abstract: In the presence of dynamic interference in the environment, traditional simultaneous localization and mapping (SLAM) methods often experience reduced precision and stability in the registration of virtual objects during three-dimensional registration in augmented reality (AR). To address these issues, an improved method for dynamic scenes based on semantic segmentation and optical flow tracking was proposed. The convolutional block attention module (CBAM) attention mechanism was incorporated into YOLOv8 to enhance its focus on dynamic objects in the environment, thereby improving detection performance and accuracy. The semantic segmentation functionality of the improved YOLOv8 was integrated into the front-end of ORB-SLAM3 to …

Go to article

Parking Space Reasoning Model For Complex Scenarios, Congling Zhou, Chunpeng Wang, Qiwei Xie, Yongqiang Wang, Lijun Shen Nov 2025

Parking Space Reasoning Model For Complex Scenarios, Congling Zhou, Chunpeng Wang, Qiwei Xie, Yongqiang Wang, Lijun Shen

Journal of System Simulation

Abstract: In the industrialization process of the combined driving assistance system, complex parking environments bring many challenges, such as occlusion of parking spaces, uneven lighting, and missed and false detections. To address these issues, a parking space reasoning model named PIPS-Net was proposed through PINet optimization. In terms of network architecture design, the model deeply integrated the stacked hourglass network with the recurrent feature-shift aggregator (RESA) to construct a context feature extraction architecture, which enhanced the feature reasoning ability in complex scenarios. Meanwhile, it reconstructed the output to meet the requirements of parking space detection tasks, thereby jointly improving the …

Go to article

Research On Vehicle Path Optimization Algorithms For Urban Logistics And Distribution, Zhenpeng Ma, Hanyang Jiao, Zhe Zhang, Cheng Liu, Bo Jiang, Lin Wang Nov 2025

Research On Vehicle Path Optimization Algorithms For Urban Logistics And Distribution, Zhenpeng Ma, Hanyang Jiao, Zhe Zhang, Cheng Liu, Bo Jiang, Lin Wang

Journal of System Simulation

Abstract: Existing optimization algorithms for solving the vehicle routing problem with time windows (VRPTW) are prone to fall into local optimal solutions and have slow convergence speed. To address this issue, a K-means clustering algorithm and improved large neighborhood search algorithm (K-means-ILNSA) was proposed. A strategy of clustering before optimization was adopted, and the K-means algorithm was adopted to group the customers to be delivered, so as to improve the optimization efficiency. The genetic algorithm was adopted to optimize each group of customers generated by clustering separately to initially plan the distribution routes. The large neighborhood search (LNS) algorithm was …

Go to article

Auv Path Planning Based On Behavior Cloning And Improved Dqn In Partially Unknown Environments, Lijing Xing, Min Li, Xiangguang Zeng, Ping Zhang, Bei Peng Nov 2025

Auv Path Planning Based On Behavior Cloning And Improved Dqn In Partially Unknown Environments, Lijing Xing, Min Li, Xiangguang Zeng, Ping Zhang, Bei Peng

Journal of System Simulation

Abstract: To address the problems of large randomness and slow convergence of the DQN dynamic path planning algorithm for a single autonomous underwater vehicle (AUV) in a partially unknown environment, a path planning method combining behavior cloning with A* algorithm and DQN (BA_DQN) was proposed. Based on the known environmental information, an improved A* algorithm incorporating ocean current resistance was proposed to guide DQN, thereby reducing the randomness of the DQN algorithm. By considering the complexity of the marine environment, the sampling probability was improved again after expanding the positive experience pool to enhance the training success rate. To address …

Go to article

Bayesian Network Parameter Learning Based On Ahp-Dst Fusion Of Expert Prior Knowledge, Haiyang Chen, Hongkai Lin, Zhifang Ren, Jing Liu, Jing Zhang Nov 2025

Bayesian Network Parameter Learning Based On Ahp-Dst Fusion Of Expert Prior Knowledge, Haiyang Chen, Hongkai Lin, Zhifang Ren, Jing Liu, Jing Zhang

Journal of System Simulation

Abstract: Aiming at the problem of low accuracy of BN parameter learning due to the uncertainty of a single expert prior knowledge under the condition of small sample data set, a BN parameter learning method based on AHP-DST fusion expert prior knowledge was designed. The synthetic prior knowledge of experts was calculated by using the thought of analytic hierarchy process combined with the rules of evidence theory synthesis. The expert comprehensive prior knowledge was added to the normal distribution and combined with the monotonicity constraint to obtain the virtual sample information. The virtual sample information was added to the Bayesian …

Go to article

Attitude Control Of Quadrotor Uav Based On Disturbance Observer And Command Filtering, Boning Li, Ming Chen, Shuchang Qi, Haoran Meng, Lei Wang Nov 2025

Attitude Control Of Quadrotor Uav Based On Disturbance Observer And Command Filtering, Boning Li, Ming Chen, Shuchang Qi, Haoran Meng, Lei Wang

Journal of System Simulation

Abstract: A finite-time fault-tolerant control scheme based on backstepping was proposed for the attitude tracking control problem of quadrotor UAVs. A finite-time neural network disturbance observer was designed, which could quickly compensate for the impacts of actuator failures and external disturbances, thereby enhancing the system's robustness. A first-order command filter and a compensation mechanism were introduced, which could avoid the computational complexity caused by differentiating the virtual control law and eliminate the influence of filtering errors. The hyperbolic tangent function was selected as the constraint function for the input torque, which restricted the input signal to prevent excessive magnitude …

Go to article

Research On Path Smoothing Processing Of Mobile Robot Based On Improved A* Algorithm, Mengyuan Chen, Guifang Qiao, Xu Zou, Jiayu Cao, Lei Tian Nov 2025

Research On Path Smoothing Processing Of Mobile Robot Based On Improved A* Algorithm, Mengyuan Chen, Guifang Qiao, Xu Zou, Jiayu Cao, Lei Tian

Journal of System Simulation

Abstract: Traditional bidirectional A* algorithm has many path inflection points, undergoes smoothness, and faces diagonal obstacles in path traversing. Therefore, an improved bidirectional A* algorithm was proposed. Local path constraint search was added to the forward search and backward search, respectively to solve the problem of planning paths traversing diagonal obstacles, and the effectiveness of the improved bidirectional A* algorithm to avoid traversing diagonal obstacles was verified through simulations. The path inflection points were optimized by introducing the cubic B-spline curve, and the paths before and after smoothing were tracked and controlled, respectively by using the differential-driven mobile robot. The …

Go to article

Boolean Network Model Optimization Based On Neural Network And Genetic Programming, Jinlin Tang, Yan Wang, Xiang Liu, Tuanjie Wang, Zhicheng Ji Nov 2025

Boolean Network Model Optimization Based On Neural Network And Genetic Programming, Jinlin Tang, Yan Wang, Xiang Liu, Tuanjie Wang, Zhicheng Ji

Journal of System Simulation

Abstract: To address the issues of complex node relationships and low accuracy in large-scale Boolean network inference, a new optimization algorithm integrated with long short-term memory (LSTM) networks and genetic programming was proposed. An enhanced LSTM network combined with a self-attention mechanism was designed to extract potential regulatory nodes from time-series data. These nodes were utilized as terminals of the syntax tree for the design of the genetic programming algorithm, and new operators were introduced to optimize Boolean function search. Experimental results have demonstrated that the proposed method significantly outperforms the most advanced existing algorithms in inference accuracy. The Boolean …

Go to article

Twin Modeling Of Gearbox Fault Early Warning System Based On Spatio-Temporal Characteristics, Yuanxing Tian, Zeyin Han, Ning Wang, Baoding Su, Weilin Xiang Nov 2025

Twin Modeling Of Gearbox Fault Early Warning System Based On Spatio-Temporal Characteristics, Yuanxing Tian, Zeyin Han, Ning Wang, Baoding Su, Weilin Xiang

Journal of System Simulation

Abstract: The wind turbine gearbox cannot effectively collect vibration signals under complex faults, which leads to the decline of fault early warning accuracy of wind turbine gearbox. To address this issue, this study investigated the twin modeling of gearbox fault early warning system based on spatio-temporal characteristics. Through the information acquisition subsystem and optical fiber sensing technology, the time sequence and spatial position data of the wind turbine gearbox during operation were collected in real time to obtain spatio-temporal characteristic data. By using the twin space, the collected spatiotemporal characteristic data of the gearbox were transmitted to the virtual space. …

Go to article

Image Feature Point Matching Algorithm Based On Attention And Hierarchical Features, Na Chen, Jiajia Bai, Qiyin Zhou, Jialin Li Nov 2025

Image Feature Point Matching Algorithm Based On Attention And Hierarchical Features, Na Chen, Jiajia Bai, Qiyin Zhou, Jialin Li

Journal of System Simulation

Abstract: Feature point detection and matching is one of the core technologies in the field of intelligent driving. Aiming at the lack of consistency and continuity of feature points extracted by the existing algorithms, as well as the problem of easily ignoring the contextual semantic information when matching, this paper proposes an image feature point matching algorithm based on attention and hierarchical features (AHMF). In the feature point detection stage, differential interaction attention module (DIAM) is proposed to enhance the model's attention to the salient regions so as to improve the robustness of the feature points; further introduction of hierarchical …

Go to article

Evolutionary Reinforcement Learning Based On Elite Instruction And Random Search, Jian Di, Xue Wan, Limei Jiang Nov 2025

Evolutionary Reinforcement Learning Based On Elite Instruction And Random Search, Jian Di, Xue Wan, Limei Jiang

Journal of System Simulation

Abstract: Evolutionary reinforcement learning currently suffers from low sample efficiency, a single coupling method, and poor convergence, which can affect its performance and scaling. To address this issue, an improved algorithm based on elite gradient instruction and double random search was proposed. The direction of the reinforcement strategy gradient update was corrected by introducing elite strategy gradient guidance carrying evolutionary information during reinforcement strategy training. Double stochastic search was used to replace the original evolutionary component, reducing the complexity of the algorithm while making the policy search meaningful and controllable in the parameter space. The introduction of complete replacement information …

Go to article

Research On Temperature Compensation Technology Of Fiber Optic Gyroscope Based On Iscso-Bp Neural Network Model, Zhili Zhang, Jin Liu, Zhaofa Zhou, Zhe Liang, Yunhao Zhang Nov 2025

Research On Temperature Compensation Technology Of Fiber Optic Gyroscope Based On Iscso-Bp Neural Network Model, Zhili Zhang, Jin Liu, Zhaofa Zhou, Zhe Liang, Yunhao Zhang

Journal of System Simulation

Abstract: To address the issue that changes in ambient temperature significantly affect the output accuracy of the fiber optic gyro (FOG), which causes zero bias drift, increases measurement errors, and limits their application accuracy in complex environments, a temperature compensation model based on BP neural networks was proposed. To improve the performance of neural networks, the sand cat swarm optimization (SCSO) was improved, and the improved SCSO (ISCSO) was used to optimize the weights and thresholds of BP neural networks. Experimental results show that using the ISCSO-BPNN temperature compensation model to compensate for the gyro's temperature errors significantly improves the …

Go to article

Dynamic Supernetwork Modeling Of Command Information System Based On Task Timing, Xuehuan Qiu, Zhiming Dong, Liang Li, Zhuoli Liu Nov 2025

Dynamic Supernetwork Modeling Of Command Information System Based On Task Timing, Xuehuan Qiu, Zhiming Dong, Liang Li, Zhuoli Liu

Journal of System Simulation

Abstract: Due to the difficulty in reflecting the various information activities and interactions within the command information system using general modeling methods for complex system structure, the advantages of supernetwork in characterizing node heterogeneity and link multiplicity of the system were utilized. Based on the research on the mapping mechanism of the command information system across three domains, the dynamic and multifunctional properties of the functional network structure were analyzed. A dynamic supernetwork model based on task timing was constructed considering task requirements, providing model support for further research on complex interaction relationships in the command information system. The dynamic …

Go to article

Research On Time Sequence Design Method Of Dynamic Simulation Scene For Starlight Navigation, Xiaoting Su, Xiaowei Zhang, Yi Tian, Qi Li, Shuaihao Wang Nov 2025

Research On Time Sequence Design Method Of Dynamic Simulation Scene For Starlight Navigation, Xiaoting Su, Xiaowei Zhang, Yi Tian, Qi Li, Shuaihao Wang

Journal of System Simulation

Abstract: To solve the problem of misidentification of star maps due to time sequence mismatch in the hardware-in-the-loop simulation system of star navigation, where star trackers with different shutter types (global shutter and rolling shutter) and star simulators with varying refresh display methods (whole frame refresh and line sweep refresh) operated without synchronization, a time sequence design method of the dynamic simulation scene for starlight navigation without the need of external synchronization signals was proposed. The method could design the refresh frequency and duty cycle of the corresponding star simulators according to the detector integration time of the tested star …

Go to article

Robot Path Planning Optimization Based On Fusion Of Improved Ant Colony Algorithm And A* Algorithm, Lanying Yang, Chao Li, Haifeng Zou, Jiangtao Wan, Renqiang Zhang, Hui Liu, Hong Lu Nov 2025

Robot Path Planning Optimization Based On Fusion Of Improved Ant Colony Algorithm And A* Algorithm, Lanying Yang, Chao Li, Haifeng Zou, Jiangtao Wan, Renqiang Zhang, Hui Liu, Hong Lu

Journal of System Simulation

Abstract: To improve slow search efficiency and achieve real-time obstacle avoidance in traditional ant colony algorithms, an adaptive ant colony algorithm was proposed. A guidance direction mechanism was introduced to shorten the time of node selection. The A* algorithm's path-finding mechanism was introduced into the heuristic function to reduce the length and number of circles of the optimal path solution. The route planned by the traditional A* algorithm was used as the initial iteration data of the ant colony algorithm in global path planning, so as to solve the problem of slow initial convergence of the ant colony algorithm. The …

Go to article

Optimization Of Service Caching And Computation Offloading In Digital Twin Cloud-Edge Networks, Jiayu Zheng, Zhuxue Mai, Zheyi Chen Nov 2025

Optimization Of Service Caching And Computation Offloading In Digital Twin Cloud-Edge Networks, Jiayu Zheng, Zhuxue Mai, Zheyi Chen

Journal of System Simulation

Abstract: In mobile edge computing (MEC), to satisfy diverse user demands by jointly optimizing service caching and computation offloading and address low-efficiency resource utilization caused by irrational resource allocation, this paper proposed a novel joint optimization of service caching and computation offloading with a convex-optimization-enabled deep reinforcement learning (JCO-CR) method. Additionally, a new model for digital twin cloud-edge networks (DTCEN) was constructed. The joint optimization of service caching and computation offloading was decoupled into two sub-problems, which were solved by an improved deep reinforcement learning method and convex optimization theory, respectively. Simulation experiments demonstrate that the proposed JCO-CR method …

Go to article

Research On Cgf-Oriented Natural Language Interaction Framework, Xinmeng Li, Kai Xu, Yue Hu, Hesong Huang, Quanjun Yin Nov 2025

Research On Cgf-Oriented Natural Language Interaction Framework, Xinmeng Li, Kai Xu, Yue Hu, Hesong Huang, Quanjun Yin

Journal of System Simulation

Abstract: To address the mismatch between existing natural language interaction frameworks and training tasks in simulation-based military training, which limits smooth interaction between trainees and Computer Generated Forces (CGF), this paper proposes a Natural Language Interaction framework for Computer Generated Forces (NLI4CGF). The framework analyzes the logic and functional requirements of natural language interaction between trainees and CGF, and establishes an interaction architecture tailored for military simulation training scenarios. It supports semantic parsing and knowledge query tasks within a prototype system developed for infantry squad simulation training. Experimental results demonstrate that the proposed model performs effectively, meets the requirements of …

Go to article

Early Laser For Burns Scars (Elabs): A Qualitative Exploration, Vanessa Heaslip, Sharon Dochety, Shelley Rhodes, Obioha Ukoumunne, Katie Breheny, Kate Attrill, Jonathon Pleat, Mark P. Brewin Nov 2025

Early Laser For Burns Scars (Elabs): A Qualitative Exploration, Vanessa Heaslip, Sharon Dochety, Shelley Rhodes, Obioha Ukoumunne, Katie Breheny, Kate Attrill, Jonathon Pleat, Mark P. Brewin

Biennial Convention (CONV)

Burns are a global public health issue. Due to improvements in burn management, mortality rates are reducing, resulting in burns being a leading cause of morbidity globally (WHO 2023). Up to 70% of patients develop hypertrophic scars after burns (Finnerty et al., 2016) as well as other associated physical (itching, pain, tightness and limited joint mobility) and psychological complications (low mood, anxiety and PTSD). These complications have a significant impact upon the individual’s quality-of-life which Finnerty et al., (2016) argues is the greatest unmet challenge in burn rehabilitation. Current treatments for burn scar management include moisturisation, silicone gel, pressure therapy, …

Go to article

Quality Of Life Of Young Adults Living With Chronic Kidney Disease At A Tertiary Hospital In Ghana, Gloria Achempim-Ansong, Menford Owusu Ampohah, Ramatu Tanko Adams Nov 2025

Quality Of Life Of Young Adults Living With Chronic Kidney Disease At A Tertiary Hospital In Ghana, Gloria Achempim-Ansong, Menford Owusu Ampohah, Ramatu Tanko Adams

Biennial Convention (CONV)

Globally, Chronic kidney disease (CKD) is highly prevalent (10-13% of the population), irreversible, progressive, and associated with higher cardiovascular risk. The diagnosis of End Stage Renal Disease (ESRD) is still a death sentence in sub-Saharan Africa (SSA). In Ghana, some patients with moderate to advanced CKD eventually progress to end-stage renal disease and have poor quality of life (QOL). Attempts to lower the morbidity and mortality of kidney disease may be thwarted by rising economic and health inequities, migration, demographic change, unsafe working conditions, environmental risks, natural disasters, and pollution. Young adults perform worse than younger adolescents do or older …

Go to article

Decoding Teen Slang: A Simulation Model For Psychiatric Nurse Practitioner Education, Kristen M. Vandenberg Nov 2025

Decoding Teen Slang: A Simulation Model For Psychiatric Nurse Practitioner Education, Kristen M. Vandenberg

Biennial Convention (CONV)

In the rapidly evolving world of teen and young adult slang, staying current with the latest terminology is crucial for healthcare professionals working with this demographic. For providers in psychiatric and mental health fields, an understanding of this evolving language can facilitate improved communication and foster trust, thereby enhancing clinical outcomes.

This study introduces a simulation model specifically designed for nurse practitioner students in a psychiatric mental health program, aiming to bridge the communication gap between providers and young clients. Grounded in a conceptual framework of cultural competence and communication theory, the simulation seeks to improve student understanding of adolescent …

Go to article

Advancing Herbal Medicine: The Role Of Nanosomal Technology In Treating Skin Diseases, Pedro Anugerah Aswan, Baitha Palanggatan Maggadani, Wilzar Fachri, Raditya Iswandana Nov 2025

Advancing Herbal Medicine: The Role Of Nanosomal Technology In Treating Skin Diseases, Pedro Anugerah Aswan, Baitha Palanggatan Maggadani, Wilzar Fachri, Raditya Iswandana

Pharmaceutical Sciences and Research

Herbal medicine has become popular worldwide, especially in developing countries, with around 80% of the population opting for herbal treatments. The perceived benefits of natural remedies, such as affordability and fewer side effects, drive this trend. Herbal therapies effectively manage skin diseases, infections, and common ailments. However, the absorption of bioactive compounds in herbal extracts is often limited. Recent developments in nano-based herbal delivery systems, like nanosomal, show promise in enhancing the efficacy of herbal remedies for topical applications, providing improved solubility, stability, and skin penetration. This review describes various nanosomal studies developed and successfully used to enhance the topical …

Go to article

Ucc Minutes 11-18-25, Angela Brock Nov 2025

Ucc Minutes 11-18-25, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Go to article

Icc Agenda 11-18-25, Angela Brock Nov 2025

Icc Agenda 11-18-25, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Go to article

Approved Courses 11-18-25, Angela Brock Nov 2025

Approved Courses 11-18-25, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Go to article

First Prev Next Last