Digital Commons Network^™

Survival Of Patients With 2014 Figo Stage Iiic High-Grade Serous Ovarian Cancer Who Treated With Platin-Based Adjuvant Chemotherapy, Mehmet Ünsal, Meltem Yücesoy, Okan Oktar, Yeşi̇m Uçar, Gülşah Ti̇ryaki̇ Güner, Okan Ayteki̇n, A.Alp Tokalioğlu, Hande Esra Koca Yildirim, Fati̇h Kiliç, Burak Ersak, Caner Çakir, Di̇lek Yüksel, Çi̇ğdem Kiliç, Sevgi̇ Koç, Günsu Ki̇myon Cömert, Özlem Moraloğlu Teki̇n, Yaprak Engi̇n Üstün, Taner Turan

Turkish Journal of Medical Sciences

Background/aim: Epithelial ovarian cancer is the second most prevalent type of gynecological cancer. We aimed to investigate prognostic factors related to survival in patient with 2014 FIGO stage IIIC high-grade serous ovarian cancer (HGSOC).

Materials and methods: Two hundred fifty eight patients were evaluated retrospectively. The absence of a visible tumor was determined as maximum cytoreduction, and a residual tumor size of 1 cm or less was determined as optimal cytoreduction. Patients who underwent cytoreduction followed by a combination of platinum and taxane adjuvant chemotherapy were included. Exclusion criteria for the study were patients taking neoadjuvant chemotherapy and those with …

Evaluation Of Treatment Compliance In Gout Patients: A Patient-Centered Study, Murat Buğra Görgülü, Riza Can Kardaş, Di̇lara Koç Şeramet, Ridvan Mercan, Mehmet Engi̇n Tezcan, Hami̇t Küçük, Abdurrahman Tufan, Berna Göker, Mehmet Aki̇f Öztürk

Turkish Journal of Medical Sciences

Background/aim: Most studies on unsuccessful gout treatment suggest that knowledge gaps and inadequate physician interventions are major contributors. However, there is a lack of research on the extent to which patients, educated by knowledgeable and experienced physicians, adhere to these recommendations.

Materials and methods: This study evaluated patients seen in university rheumatology clinics who were adequately informed about diet, target serum uric acid levels, and gout by rheumatologists. We assessed their compliance with treatment, clinical and laboratory findings, and disease status a median of seven years after treatment initiation. A total of 302 gout patients who began treatment in tertiary …

Differentiation Of Multinodular And Vacuolating Neuronal Tumor And Dysembryoplastic Neuroepithelial Tumor Based On Mri, Burcu Gül, Bora Korkmazer, Ahmet Kürşat Karaman, Esra Koçhan Kizilkiliç, Mahmut Esat Aykan, Çi̇ğdem Özkara, Ni̇l Çomunoğlu, Ci̇han İşler, Serdar Arslan, Osman Kizilkiliç

Turkish Journal of Medical Sciences

Background/aim: To compare the MRI findings and clinical features of multinodular and vacuolating neuronal tumor (MVNT) and dysembryoplastic neuroepithelial tumor (DNET), and reveal the distinguishing features of these tumors from each other.

Materials and methods: Patients with a suspected magnetic resonance imaging (MRI)-based diagnosis of MVNT between 2018 and 2022 were collected from the hospital database. In addition, patients diagnosed with DNET on histopathological examination and who had MRIs in the same time period were included in the study. The MRI findings and clinical features were evaluated for each patient.

Results: There were 21 patients in the MVNT group and …

Effects Of Workload And Distance Traveled On Psychological Resilience And Values Among Emergency Healthcare Workers, Rami̇z Yazici, Efe Demi̇r Bala, Ayşe Fethi̇ye Basa Kalafat, Eyüp Sari, Hüseyi̇n Mutlu, Hakan Güner, Hi̇lmi̇ Kaya, Rabi̇a Bi̇rsen Tapkan, Utku Murat Kalafat, Serkan Doğan

Turkish Journal of Medical Sciences

Background/aim: Emergency medical services (EMS) personnel face significant challenges in their daily work, which can lead to burnout and affect their mental well-being. This study aimed to investigate how workload and distance traveled, as specific aspects of EMS work, influence the psychological resilience and values of EMS personnel. The Connor–Davidson Resilience Scale (CD-RISC) and Spiritual and Humanistic Value Scale (SHVS) were utilized to assess psychological resilience and values, respectively.

Materials and methods: A cross-sectional study was conducted among EMS personnel in Ankara, Türkiye, utilizing a questionnaire survey distributed between 23 and 30 May 2024. The study was approved by the …

Benzyl Alcohol Improves Ang Ii-Induced Vascular And Renal Injury, Qi Hua, Zhenyu Gu

Turkish Journal of Medical Sciences

Background/aim: The etiology of hypertension in pediatric populations is complex and multifactorial, with metabolic abnormalitiesplaying a fundamental role in the pathogenesis of the condition. This study investigates the therapeutic effects of Benzyl alcohol (BA),identified through metabolomics analysis of pediatric hypertension serum, on Angiotensin II (Ang II)-induced vascular and renalinjury in murine models.

Materials and methods: Male C57BL/6 mice were used to establish a vascular remodeling model by continuous 4-week Ang II infusionusing a subcutaneous osmotic pump. Bioinformatics was used to identify target metabolites. The tail artery, common carotid arterydiastolic, and systolic pressures in mice were determined with a blood pressure …

A Transfer Learning-Based Hybrid Model For Pm2.5 Concentration Prediction, Xinbiao Lu, Chunlin Ye, Yisen Chen, Wen Wu, Yudan Chen

Journal of System Simulation

Abstract: In order to solve the problems of increased computational cost due to irrelevant features and decreased prediction accuracy due to the difference in probability distribution caused by the change of data distribution over time in PM2.5 concentration prediction, this paper constructs a hybrid deep learning model TraTCN-LSTM-BiGRU based on migration learning. The meteorological factors related to PM2.5 concentration are selected as the model input using the mean-value heat map algorithm features; the source domain data and target domain data are divided by KL scatter and an adaptive layer is introduced into the model to achieve inter-domain distribution adaptation; the …

Trajectory Planning Of Quadruped Robot Over Obstacle With Single Leg Based On Deep Reinforcement Learning, Min Li, Sen Zhang, Xiangguang Zeng, Gang Wang, Tongwei Zhang, Dijie Xie, Wenzhe Ren, Tao Zhang

Journal of System Simulation

Abstract: Aiming at the problems of joint vibration and high energy consumption of quadruped robot in the process of walking over obstacles, a foot trajectory planning method of quadruped robot based on deep reinforcement learning SAC algorithm is proposed. Based on robot kinematics and Monte Carlo method, the motion space of the single-legged foot of quadruped robot is analyzed. A compound seventhdegree polynomial trajectory of the quadruped robot is planned. The SAC algorithm is used to train and obtain the low energy consumption obstacle crossing strategy of four-legged robot under different obstacle environment. The simulation results show that the compound …

Optimization Of Vehicle Routing For Cross-Infection Risk In The Epidemic, Xiaodong Shi, Yongcheng Guo, Mingqi Ma, Jiarui Pan

Journal of System Simulation

Abstract: In view of the safety risks associated with logistics distribution route optimization during public health emergencies, this paper investigates the vehicle routing problem by incorporating the risk of cross-infection, integrates the cross-infection risk caused by logistics activities in the epidemic area into the logistics distribution model, and establishes a logistics vehicle distribution model with the goal of cross-infection risk and cost. An improved genetic algorithm is designed for model optimization and solution. Based on the integration of chaos initialization population and adaptive crossover and mutation operations, a neighbor exclusion operator is further proposed to enhance the global search ability …

A Method For Road Extraction Using Masked Image Modeling And Contrastive Learning, Jiangjiang Wu, Zhenghong Li, Zhichao Sha, Hao Chen, Shuang Peng, Chun Du, Jun Li

Journal of System Simulation

Abstract: Aiming at the occlusion problem of road extraction from remote sensing images, a road extraction method combining MIM and CL is proposed, the model training process includes a masked pretraining stage and a contrast training stage. The masked pre-training stage mainly carries out mask image reconstruction, and trains the model to recover the whole image from some areas that are randomly occluded. The comparison training stage is mainly for the prediction error and low confidence regions to learn the comparison, to narrow the distance between the features of the same category and increase the distance between the features of …

Research On The Resilience Of Integrated Urban Passenger Transport Network In Urban Agglomerations Considering The Intra-Urban Service Network, Shida Nie, Chengbing Li, Bowei He, Xintao Li

Journal of System Simulation

Abstract: In order to solve the problem of insufficient comprehensiveness and refinement of the urban agglomeration passenger transport network model, Space L modelling method in complex network theory is adopted to construct a comprehensive urban passenger transport network model considering the urban internal service network. A comprehensive urban passenger transport network composed of intercity networks and intra-city service networks is built, and time-dependent edge weights in the network is considered. A time-weighted network efficiency model is proposed to evaluate the network resilience. The results show that under a random attack strategy, the relative time efficiency of the network fluctuates less, …

A Multi-Robot Collaborative Path Planning Algorithm With Chain Working Mode, Zhigang He, Dayan Li, Niya Wang, Jianlin Mao, Ning Wang

Journal of System Simulation

Abstract: In order to solve the problem that the traditional MAPF algorithms can lead to a large number of repeated paths and thus non-essential energy loss in application scenarios where multiple robots have a common goal point, a multi-robot chain work mode with a tractor is proposed, which divides the robots with common target points into subgroups for multi robot collaborative path planning, and a collaborative dynamic priority SIPP with tractor (Co-DPtSIPP) algorithm is given. The polygonal Fermat point principle and other methods are used to obtain the serial connection areas of each collaborative group robot; considering the sequence of …

Traffic Signal Detection Based On Improved Yolov7, Lanyue Zheng, Yujie Zhang

Journal of System Simulation

Abstract: An improved YOLOv7 is proposed to address the problem of low recognition accuracy in general object detection algorithms for traffic signal detection. The algorithm removes the 20×20 detection scale and adds a 160×160 detection scale to increase shallow features while making the model lightweight. It combines the bi-level routing attention (BRA) proposed in BiFormer with axial attention, and innovatively proposes axially-guided BRA (ABRA). This module is specifically designed for the characteristics of traffic signal positions. To address the issue of object size sensitivity to the IoU metric, the normalized wasserstein distance (NWD) measurement is introduced to improve object location …

Research On Dual-Layer Path Planning Method For Lunar Rover Based On Slip Prediction, Zhang Xingyu, Baolei Wu, Jun Wang, Miaoying Hong, Jiahui Wang, Yongqiang Qi

Journal of System Simulation

Abstract: In response to the challenges faced by lunar rovers in the process of path planning, such as safe obstacle avoidance and target deviation caused by complex terrain, a dual-layer path planning based on slip prediction is proposed. In this approach, flat terrain is adaptively selected to reduce the wheel slip of the lunar rover. The overall complexity of the terrain is calculated using digital elevation information, and a Q-learning algorithm with a three-level reward mechanism is designed to navigate around highslip areas, achieving global path planning. A depth camera is used to perceive obstacles, a dynamic window method based …

Signal Timing Optimization Via Reinforcement Learning With Traffic Flow Prediction, Ming Xu, Jinye Li, Dongyu Zuo, Jing Zhang

Journal of System Simulation

Abstract: In response to the existing reinforcement learning-based traffic signal control methods that do not consider the changing trends in traffic flow, leading to congestion and inability to adapt to complex and variable road conditions, we propose a traffic signal timing optimization reinforcement learning method based on flow prediction. A phase timing amplitude control model is introduced. This model analyzes the spatiotemporal characteristics of historical traffic data to predict the flow for the next time slot and calculates a reasonable range for phase timing based on the prediction results. The H-PPO algorithm is employed to control the signal phase while …

An Intelligent Tracking Control Method For Unmanned Vehicles With Time-Varying Disturbances, Jie Huang, Jie Huang

Journal of System Simulation

Abstract: An intelligent policy iteration tracking control method is proposed for the tracking control problem with bounded time-varying disturbances. An adaptive disturbance compensator is designed to counteract the bounded disturbance and guarantee the validity of the Hamilton-Jacobi-Bellman (HJB) equation. An identifier network is proposed to estimate the unknown vehicle dynamics, and a new HJB equation is derived using the reconstructed identifier tracking error. An online optimal tracking control strategy for unmanned vehicles is obtained in the state of identifier estimation with the assistance of actor-critic network. Based on Lyapunov theory, it is demonstrated that the identifier tracking error, identifier approximation …

Seg-Swin: A Dual-Attention Transformer Model For Advanced Amd Classification And Lesion Detection Using Color Fundus Imaging, Niveen Nasr El-Den, Mohamed Elsharkawy, Ibrahim Saleh, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Ashraf Sewelam, Hani Mahdi, Ayman El-Baz

All Works

Age-related macular degeneration (AMD) is a prevalent retinal disorder in the elderly, often leading to significant vision impairment. The diagnosis of AMD is confirmed through various medical imaging modalities, with color fundus photography (CFP) being a primary tool. The detection and staging of AMD-severity depend on several factors, including the number and size of drusen, the presence of pigmentary changes, geographic atrophy, and neovascularization, all of which are identifiable through CFP. In this study, we introduce an innovative dual-vision transformer-based network designed to automatically detect AMD and classify its severity into either dry AMD or wet AMD using CFP. Early …

Voting Rights Expansion To Achieve Voting Equity, Emily Tuller

Honors Theses

Socioeconomic disparities often correlate with lower voter participation, potentially leading to underrepresentation of disadvantaged communities in policy decisions. Michigan's recent voting rights expansion aims to increase accessibility and participation. This study examined the relationship between county-level poverty and voter turnout and assesses the impact of expanded voting rights on turnout in Michigan's poorest counties. We conducted a retrospective analysis comparing voter turnout data from the 2020 and 2024 elections, obtained from the Michigan Secretary of State website. Counties’ median household income data were obtained from County Health Rankings to identify high- and low-income counties. We conducted a correlation analysis to …

Deaf Community, Cochlear Implants, And Language Access, Amelia Segroves

Honors Theses

This thesis looks at how getting a cochlear implant can affect a Deaf or Hard-of-Hearing person’s identity, language development, and sense of belonging. It compares people who see deafness as part of a rich culture (big “D” Deaf) with those who see it more as a medical condition (little “d” deaf). By reviewing studies and articles, the research explores how early exposure to language, school environments, and family choices influence how people communicate and see themselves.

This thesis looks at how getting a cochlear implant can affect a Deaf or Hard-of-Hearing person’s identity, language development, and sense of belonging. It …

The Use Of Stress Testing In Evaluating Systemic Risk: Lessons From The Global Financial Crisis, Katherine Laws

Honors Theses

This paper examines the role of stress testing as a crucial tool for assessing systemic risk in the financial system, particularly in the aftermath of the global financial crisis. The global financial crisis, which unfolded between 2007 and 2009, exposed significant vulnerabilities within financial institutions and highlighted the inadequacies of existing risk management frameworks. In response, regulators and financial institutions increasingly turned to stress testing to evaluate the resilience of financial systems against economic shocks.

The paper will begin by defining systemic risk and the importance of effective risk assessment strategies. The paper will outline how stress testing can simulate …

The Difference In Financial Literacy Between Students Of The Business College And The Rest Of The Student Body At Wmu, Ivane Mkheidze

Honors Theses

This thesis investigates the persistent gap in financial literacy among high school and college students, despite increased emphasis on financial education over recent decades. Drawing inspiration from Lewis Mandell’s studies, including “Financial Literacy: If It’s So Important, Why Isn’t It Improving?”, the research evaluates the effectiveness of financial literacy courses and highlights their failure to produce long-term gains in knowledge or behavioral change. Through a synthesis of academic literature and critique of methodologies, the thesis explores the inefficacy of current teaching models, including overreliance on engagement tools like the Stock Market Game, and the influence of socio-economic factors, motivation, and …

Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah

Theses

Vigilante justice remains a persistent issue in Ghana, with a significant portion of Ghanaians subscribing to it to address their grievances. While existing research has examined the social and cultural drivers of vigilante justice in Ghana, the role of visible police presence (i.e., police station and police patrol) on vigilante justice has received limited attention. This study seeks to add to the literature by exploring the relationship between visible police presence and support for vigilante justice by drawing on Black’s (1983) Self-Help Theory. First, I argue that a visible police force directly reduces public support for vigilante justice and indirectly …

Cost-Effectiveness Analysis Of Aducanumab Versus Placebo For Patients With Mild Cognitive Impairment And Mild Alzheimer’S Disease, Xiaomo Xiong, Gang Lv, Jacob Jordan King, Minghui Li, Jing Yuan, Z Kevin Lu

Faculty Publications

Objectives To assess the cost-effectiveness of aducanumab at its updated price for treating patients with mild cognitive impairment (MCI) and mild Alzheimer’s disease (AD).

Design Cost-effectiveness analysis.

Settings A five-state Markov model was constructed using 10 000 virtual patients to assess the cost-effectiveness of aducanumab from the perspective of the US healthcare system. The model employed a one-year cycle time and a lifetime time horizon. Transition probabilities and mortality rates were derived from a literature review. To address uncertainty and generalise the base case results, both one-way and probabilistic sensitivity analyses were conducted.

Participants 10 000 virtual patients with MCI …

Improving Hand Hygiene Compliance Through Electronic Monitoring, Ruth Navarro, Lupe Almaguer, Andrea Tilleman, Ayesha Pacheco, Sebastian Zuluaga, Bianca De La Barra, Hector Vega

All Publications

No abstract provided.

White Living Trust V. Campbell

All Decisions

Handwritten opinion. In this holdover proceeding without stated grounds, the landlord moved to file a late affidavit of service 125 days after the initial appearance. The tenant opposed, invoking Riverside Syndicate, Inc. v. Saltzman, arguing the delay was fatal. The landlord cited Siedlecki v. Doscher, claiming lack of prejudice, but failed to substantiate the claim. The court found the landlord's delay unjustified and prejudicial in light of procedural requirements, especially given the tenant's timely and persuasive opposition. The motion was denied, and the case dismissed. Practice Note: Courts strictly enforce timely service compliance; late affidavits without detailed justification and proof …

Surgical Smoke Evacuation Quality Improvement Project, Angela Howell

Graduate Theses, Dissertations, and Capstones

Abstract

Background: Surgical smoke is a byproduct produced during surgical procedures when high-energy producing devices are used to vaporize tissue. This smoke poses health risk to anyone present in the operating room.

Purpose: The purpose of this quality improvement (QI) project was to educate and minimize the exposure of both staff and patients to the hazardous toxic fumes and vapors produced by energy-generating electrocautery devices.

Methods: The intervention based on the Kim Ball Smoke Evacuation Compliance Model was implemented in a large military hospital with 20 operating rooms and three labor and delivery suites. Implementation included formal education strategies, equipment …

The Colby Echo (2025-04-17), Colby College

The Colby Echo

Published by the students of Colby College since 1877, The Colby Echo is the weekly, editorially independent student-run newspaper of Colby College in Waterville, Maine. Published monthly, 1877-1886; semi-monthly, 1886-1897; and weekly during the academic year, 1898-present.

Kenyon College - April 17, 2025

The Kenyon Collegian

No abstract provided.

Design Of Distributed Multi-Functional Integrated Signal-Level Confrontation Simulation System In Local Area, Weiqian Li, Tianyu Yang, Zongyang Li, Jianjun Chen

Journal of System Simulation

Abstract: In order to study the resources management and self-organized collaborative application method of multiple multi-functional integrated electronic equipment in the region, we build a signal-level digital simulation system that supports multiple distributed multi-functional integrated electronic equipment within a region to carry out cooperation or confrontation. A joint time advancing mechanism named "variable-step time advancing method based on frame scheduling" and "independent event driven time advancing method " is proposed. It can not only ensure the integrity of each frame of radar simulation data for each equipment, but also enable multiple equipment in the simulation system to advance simultaneously and …

Uav Path Planning Based On Improved Deep Deterministic Policy Gradients, Sen Zhang, Qiangqiang Dai

Journal of System Simulation

Abstract: Aiming at the problems of poor convergence and invalid exploration when UAVs perform path planning in complex environments, an improved deep deterministic policy gradient(DDPG) algorithm is proposed. Using a dual experience pooling mechanism to store success and failure experiences separately, the algorithm is able to use the success experience to strengthen the strategy optimization and learn from the failure experience to avoid the wrong path; an APF method is introduced to add a bootstrap term to the planning, which is combined with the exploration of noisy actions in a randomized sampling process to dynamically integrate the selected actions; multi-objective …

Remote Sensing Small Object Detection Based On Cross-Stage Two-Branch Feature Aggregation, Jie Li, Yang Liu, Liang Li, Bengan Su, Jialong Wei, Guangda Zhou, Yanmin Shi, Zhen Zhao

Journal of System Simulation

Abstract: Aiming at YOLOv8's leakage and false detection problems caused by target scale difference and complex background in remote sensing small target detection, this paper proposes a remote sensing image small target detection method based on cross-stage two-branch feature aggregation. The global shared weights in the convolution operator and the context-aware weights of specific tokens in the attention are fused to obtain high-frequency local information and low-frequency global information; the global remote dependencies are captured using a lightweight MLP, and the parallel cross-stage learnable vision center mechanism is designed to capture the information of the local corner regions of the …