Digital Commons Network^™

Aprender Inglés En La U-Diversidad: The Case Of Colombian University Students With Multiple Marginalized Identities Disrupting Colonial Language Policies And Curricula, Maure Aguirre-Ortega, Yenny Chavarría, Claudia Gutiérrez

Journal of Comparative & International Higher Education

Required to learn English, Black, Indigenous, Migrant and Rural Colombian university students often find themselves oppressed by a colonial curriculum that overlooks their intersecting marginalized identities. Drawing from decoloniality and intersectionality, this paper discusses how coloniality and students’ plethora of identities converge in the English classroom and engage in a dance of oppression and resistance. Mediated by participatory dialogues, results of this (case) study indicate that engaging these minoritized students in a collective initiative to decolonize the English classroom enabled them to a) value the social, cultural, and linguistic identities of their territories b) reflect on the implication of colonial …

The Impact Of Foraminotomy On Patient-Reported Outcomes Following 3+ Level Posterior Cervical Decompression And Fusion For Myeloradiculopathy, Robert J. Oris, Jonathan Dalton, Joydeep Baidya, Tariq Z. Issa, Tyler D. Alexander, Jarod Olson, Rachel Huang, Chloe Herczeg, Omar Tarawneh, Rajkishen Narayanan, Michael Carter, Jonah Hammerstedt, Sebastian Quiana, Mark Kurd, Barrett I. Woods, I David Kaye, Thomas Cha, Jose A Canseco, Alan S. Hilibrand, Alex R. Vaccaro, Christopher K. Kepler, Gregory D. Schroeder

Department of Orthopaedic Surgery Faculty Papers

OBJECTIVE: To evaluate whether patients with myeloradiculopathy experience better improvement in patient-reported outcome measures (PROMs) from the addition of foraminotomy in the setting of posterior cervical decompression and fusion (PCDF).

METHODS: Adult patients who underwent ≥≥ 3-level PCDF (2017-2022) at a single tertiary center were retrospectively identified. Patients were included if their indication was myeloradiculopathy - patients were excluded if they had a combined anterior/posterior approach, an indication of infection/tumor/trauma, or incomplete 1-year PROMs. Operative notes were evaluated to identify the patients who had a foraminotomy specifically for neuro-decompression. Patients with or without foraminotomy were evaluated for demographic/surgical variables, surgical …

The Impact Of Cage Position, Radiographic Parameters, And Hounsfield Units On Subsidence Rate After One To Three Level Anterior Cervical Discectomy And Fusion, Jarod Olson, Jonathan Dalton, Omar H. Tarawneh, Rajkishen Narayanan, Alec Giakas, Rachel Huang, Joydeep Baidya, Robert J. Oris, Joshua Mathew, William A. Green, Nicholas B. Pohl, Anthony Labarbiera, Benjamin Crain, Nathaniel Pineda, Joseph Rajasekaran, Gordon Hua, Mark F. Kurd, Jeffrey A. Rihn, Jose A. Canseco, Alan S. Hilibrand, Alex R. Vaccaro, Christopher K Kepler, Gregory D. Schroeder

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN: The study design was a retrospective cohort.

OBJECTIVE: The objective of the study was to validate the relationship between Hounsfield units (HU) and subsidence, including multilevel anterior cervical discectomy and fusion (ACDF). Cage/graft subsidence commonly occurs after ACDF. Prior work on 1-level ACDF found increased subsidence rates in patients with lower HUs.

MATERIALS AND METHODS: Adults who underwent 1-3 level ACDF at a tertiary center and had preoperative computed tomography scans were included (2018-2022). HUs were assessed ~5 mm caudal to the superior endplate. Six-month postoperative radiographs were evaluated for cage/graft positioning, screw loosening, and subsidence. Receiver operating …

Education And Fertility: Evidence From An Instrumental Variable Approach Using Higher Education Expansions In Turkey, Badi H. Baltagi, Haci M. Karatas

Center for Policy Research

This paper examines the impact of higher education on women’s fertility behavior in Turkey. To address the endogeneity of education we use the plausibly exogenous variation in college availability in Turkey between 1983 and 2000. We find that increased education of women in Turkey significantly reduced the number of children and increased the probability of childlessness at the end of the fecund period. The effect of education on fertility worked through a postponement in first births at ages following college graduation until the age of 35, an improvement in women’s labor market outcomes, better marriage market outcomes, and use of …

Hydrothermal Liquefaction Of Mixed Plastic Waste: Conversion And Resource Recovery, Serena Monaco, Martina Damizia, Benedetta De Caprariis, Maria Paola Bracciale

PYROLIQ III – 2025: Pyrolysis and Liquefaction of Biomass and Wastes

Please click Additional Files below to see the full abstract

The Need For Alternative Pedagogies, Mercia Santana Flannery, Oseas Bezerra Viana Júnior (Universidade Federal Do Agreste De Pernmabuco, Brazil), Kleber Aparecido Da Silva (Universidade De Brasília, Brazil)

Journal of Comparative & International Higher Education

Our ever-evolving societies have faced a myriad of changes in a relatively short span of time. From a heavy focus on globalization to its undesired effects in education across the Global South, from migratory movements, shifting political and ideological landscapes to technological innovations, the impacts on how our students learn and engage with the world has also been in flux. Considering these complexities, this chapter highlights the urgent need for alternative practices and perspectives in language education, and for adaptation in light of the context specific contingencies that teachers and learners face.

The (In)Effect Of Trump-Era Anti-Immigrant Policies And Rhetoric On International Students: Perceptions Of And Experiences In Us Higher Education, Odunayo O. Omotilewa, Kayla M. Johnson (University Of Arizona)

Journal of Comparative & International Higher Education

This exploratory study investigates international graduate students’ experiences studying in the US during the years of the Trump Administration, its influence on their mental health, and how their experiences have been different since. We surveyed international graduate students at a large public research institution in the Southeastern US who started their degrees in the US between 2017 and 2020, using a mixed-methods approach. The findings reveal that students had a negative perception of Trump Administration policies and rhetoric and were most negatively affected by those relating to visa status during the pandemic, travel bans, and student work authorization (OPT, CPT). …

Gc-Ms-Based Metabolomics For Understanding The Metabolite Profile Of Mopane Worm (Gonimbrasia Belina) And Sorghum (Sorghum Bicolor L), Mpho Sebabiki Maleke, Tumisi Beiri Jeremiah Molelekoa, Jonathan Wilkin, Xi Feng, Moira Ledbetter, Oluwafemi Ayodeji Adebo

Faculty Research, Scholarly, and Creative Activity

Edible insects are nutritious, having high levels of protein, essential amino acids, healthy fats, vitamins, and minerals. In areas where sorghum is a primary crop, mixing this gluten-free grain with protein-rich insect powder provides a novel approach to making nutrient-rich products. Understanding the sorghum and mopane worm flours' metabolomic changes during bioprocessing can however, enhance their nutritional value and food safety. The research investigated metabolite compounds that are found in raw and processed (fermented, malted (sorghum), and ultrasonicated) mopane worms and sorghum. In the study, sorghum grains were traditionally fermented and malted at 35°C for 48 h and ultrasonicated for …

Integrated Mirna-Mrna Analyses Of Triple-Negative Breast Cancer In Black And White Patients With Or Without Obesity, Fokhrul Hossain, Martha I. Gonzalez-Ramirez, Jone Garai, Diana Polania-Villanueva, Li Li, Farzeen Nafees, Md Manirujjaman, Bolin Liu, Samarpan Majumder, Xiao Cheng Wu, Chindo Hicks, Luis Del Valle, Denise Danos, Augusto Ochoa, Lucio Miele, Jovanny Zabaleta

School of Graduate Studies Faculty Publications

Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer. miRNAs play an essential role in TNBC pathogenesis and prognosis. Obesity is linked with an increased risk for several cancers, including breast cancer. Obesity is also related to the dysregulation of miRNA expression in adipose tissues. However, there is limited knowledge about race- and obesity-specific differential miRNA expression in TNBC. We performed miRNA sequencing of 48 samples (24 tumor and 24 adjacent non-tumor tissues) and RNA sequencing of 24 tumors samples from Black (AA) and White (EA) TNBC patients with or without obesity. We identified 55 miRNAs exclusively …

Differential Effects Of Macrophage Subtype-Specific Cytokines On Fibroblast Proliferation And Endothelial Cell Function In Co-Culture System, Phillip Mcclellan, Thomas R. Wong, Sara Hijaz, David R. Fletcher, Ozan Akkus, Tracey L. Bonfield, James M. Anderson, Adonis Hijaz

Faculty Scholarship

Macrophages are involved in several critical activities associated with tissue repair and regeneration. Current approaches in regenerative medicine are focusing on leveraging the innate immune response to accelerate tissue regeneration and improve long-term healing outcomes. Of particular interest in this regard are the currently known, four main M2 macrophage subtypes: M2interleukin (IL)-4,IL-13, M2IC, M2IL-10, M2non-selective adenosine receptor agonists (NECA) (M2IL-4,IL-13 → M2(NECA). In this study, rat bone marrow-derived macrophages (M₀) were polarized to each of the four subtypes M2IL-4,IL-13 → M2NECA and cultured for 72 h in vitro. Luminex assay results highlighted increased production of tissue inhibitor of metalloproteinases-1 (TIMP-1) …

Dementia As A Critical Lens On The Role Of Narrative In Medical Training And Practice, Erin Gentry Lamb

Faculty Scholarship

Narrative holds an important place within medicine and medical education, but an uncritical use of narrative can have troubling consequences for the care of patients who have limited or no capacity for self-narration, such as those living with dementia. We argue that the guiding principles in the use of narrative within medicine and medical education must be inclusivity and opportunity. We illustrate how medical training can benefit from a more inclusive definition of narrative, and we present a selection of innovative approaches to narrative coming out of literary studies, narrative gerontology, and medical and health humanities that focus on metaphor, …

Abnormal Invasive Hemodynamics In Heart Transplant Recipients, Navin Rajagopalan, Donna R. Dennis, Julia Akhtarekhavari, Kenneth Campbell

Physiology Faculty Publications

BACKGROUND Few studies have quantified invasive hemodynamic parameters in post heart transplant recipients. AIM To report the incidence of abnormal hemodynamics in heart transplant recipients at 1-year and 3-year post-transplant and determine if there was any correlation with recipient and donor characteristics. METHODS Data from 279 consecutive heart transplant recipients from 2007 through 2020 were analyzed. Clinical variables regarding both recipients and donors as well as hemodynamic variables obtained via right heart catheterization during 1-year and 3-year annual testing were recorded. Simple and multiple linear regression tests were used to determine how recipient and donor variables influenced hemodynamic parameters at …

Rapid Mapping Of Spinal And Supraspinal Connectome Via Self-Targeting Glucose-Based Carbon Dots, Yasin B. Seven, Elif S. Seven, Emel Kirbas Cilingir, Komal Parikh, Mehmet Aydin, Edward K. Luca, Jayakrishnan Nair, Roger M. Leblanc

Department of Physical Therapy Faculty Papers

The spinal cord is a highly dynamic network, playing significant roles in the vital functions of the brain. Disorders of the spinal cord, such as spinal cord injury and amyotrophic lateral sclerosis (ALS), are associated with neurodegeneration, often resulting in morbidity and mortality. The blood-brain barrier (BBB) poses a major challenge to imaging and therapeutic agents because less than 2% of small-molecule drugs and almost no large-molecule drugs can cross the BBB. Furthermore, spatial spectroscopy studies have shown highly heterogeneous BBB crossing with significant accumulation at the unintended brain regions. Thus, targeting systems that can cross the BBB at the …

September 18, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Quaker Campus, September 18, 2025 (Vol. 24, Issue 2), Whittier College

Quaker Campus

No abstract provided.

Design And Prediction Of Deep Fuzzy Neural Network, Chengbiao Wei, Taoyan Zhao, Jiangtao Cao, Ping Li

Journal of System Simulation

Abstract: A deep fuzzy neural network (DFNN) is proposed to solve the problem that the deep neural network has poor interpretability and the correction of the model is not targeted when dealing with the big data regression prediction problem. The proposed deep fuzzy neural network adopts an adaptive fuzzy Cmeans (AFCM) clustering algorithm in structural learning. The structure of the model, namely the number of rules and the antecedent parameters of the rules, is determined by calculating the introduced validity function. The identification of consequent parameters uses an improved grey wolf optimization (IGWO) algorithm. By replacing the linear decreasing strategy …

Lane Detection In Dark Light Based On Instance Association, Yanji Jiang, Yingyang Zhang, Hao Dong, Xiaoguang Zhang, Meihui Wang

Journal of System Simulation

Abstract: In current research on lane detection, existing algorithms can efficiently detect lane lines under good lighting conditions. However, lane detection in low light still faces the challenge of a high false negative rate. A detection algorithm called Instance Association Net(IANet) is proposed to address this issue by utilizing the structural relationships between lane lines, which is helpful for low light conditions. The algorithm first generates unique masks for different lane lines using features at the starting points of the lane lines and a global feature map, achieving instance-level feature separation of the lane lines. It employs an instance-level attention …

Station Layout Optimization Method And Simulation For Non-Cooperative Target In Angle Of Arrival Positioning, Yida Ning, Jiongqi Wang, Juhui Wei, Zhenzu Bai, Zhangming He

Journal of System Simulation

Abstract: In the context of angle of arrival (AOA) positioning system for non-cooperative target tracking and positioning, accurately determining true location of the target poses a significant challenge. Conventional station deployment indicators like geometric dilution of precision (GDOP) fail to provide effective guidance for optimization station layout. To address the issue, this study introduces a novel indicator for station optimization and evaluation based on factors that influence positioning accuracy within an angle measurement system. These factors encompass angular differencing, baseline intersection angles, and the observer-target line distance. Moreover, this indicator encompasses the challenges associated with data conformity in "air to …

Research On Strong Real-Time Synchronisation Algorithm For Lvc Co-Simulation, Junhui Li, Songtao Sun, Fei Liu

Journal of System Simulation

Abstract: Live, virtual, and constructive(LVC) joint simulation has become a hot research topic of current military simulation; however, existing time management strategies usually fail to meet the needs of strict real-time performance of LVC. A LVC joint simulation synchronization algorithm is proposed that starts with a window sliding-based median smoothing strategy and real time drift rate-based clock compensation strategy for effective node synchronization. A novel hybrid timing strategy is introduced combining long and short cycles implemented in software, which balances precision and efficiency. A simulation catch-up strategy is proposed to address software delays, which combined with the highprecision timing strategy, …

Wingtip Docking Control Of Composite Aircraft Based On Adrc Theory, Chunlei Xie, Hongxia Hu, Weibo Han

Journal of System Simulation

Abstract: The process of wingtip docking in composite aircraft is challenged by significant unsteady vortex aerodynamic disturbances arising from the close-range coupling of wingtips, thereby posing considerable constraints on docking precision and flight safety. This study endeavors to address the intricate task of airborne wingtip docking control amidst wingtip vortex disturbances through a comprehensive investigation of airborne wingtip docking control technology, grounded in the tenets of active disturbance rejection control (ADRC) theory. Initially, a mathematical model encapsulating the dynamics of three-channel attitude/displacement during the docking operation, incorporating both the wingtip docking mechanism and the wingtip vortex model, is established. …

Kill Chain Efficiency Evaluation Model Based On Gray Dematel-Anp, Zejing Zhao, Junliang Shang, Yanpei Qin

Journal of System Simulation

Abstract: In modern conflict scenarios, the kill chain is integral to the comprehensive understanding, orchestration, and execution of military operations. Accurately appraising the efficiency of the kill chain is imperative for gaining insights into battle dynamics and strategically distributing military assets. However, traditional assessments of kill chain efficacy have been hampered by fragmented and isolated indicators that frequently overlook the interplay and influence among various segments of the kill chain. To address these limitations, based on the characteristics of each phase of the kill chain and the OODA loop theory, a new set of performance evaluation indices has been proposed. …

Digital Imaging Simulation Of Complex Scene Of Space-Based Space Small Target, Pengfei Li, Wei Xu, Yongjie Piao, Yinghong Fang, Dunpan Shi

Journal of System Simulation

Abstract: In response to the universal demand for space target detection technology research in space image data sources, this study focuses on the problems of insufficient training data for intelligent algorithms and the use of single data for traditional algorithms, with the goal of generating dynamic digital sequence images of small space targets in complex scenes. A visible light digital imaging simulation system based on a space observation platform is designed. A small target imaging model is proposed, which is based on two-dimensional shape feature point description and imaging analysis model to carry out digital modeling and imaging simulation of …

Algorithm Simulation Of Multi-Targets Track Correlation Based On Spectral Feature, Zhenping Ding, Huidong Guo

Journal of System Simulation

Abstract: In order to solve the problems of multi-targets track correlation in dense scenes, a method of track sequential real-time processing for multi-source track correlation system modeling is proposed. By calculating the absolute and relative position of the spectral features, the unified correlation matrix can be defined based on fuzzy decision theory, and the multi-target track correlation can be realized. Numerical simulations have shown the effectiveness of the track correlation algorithm on the basis of spectral features. Especially, the accuracy of correlation is much larger than that of the nearest-neighbor distance algorithm under the condition of dense target environment …

Optimization Method For Multi Agricultural Machinery Collaborative Operation Based On Genetic Algorithm And A* Algorithm, Yiran Yu, Huicheng Lai, Guxue Gao, Guo Zhang, Wangyinan Peng, Longfei Yang, Junhao Huang

Journal of System Simulation

Abstract: To address the uneven task distribution among multiple agricultural machines (referred to as farm machinery) and the high time cost due to numerous turning points at intersections, this paper proposes a task planning method that combines a pre-heat multi grouped genetic algorithm (PHMGA) with the turn A* algorithm (tA*). PHMGA allocates tasks to each piece of farm machinery based on the known environment, ensuring balanced workload through a cost objective function that considers travel, operation, and turning distances. It also designs various operators and strategies to search for nearoptimal solutions. The tA* algorithm is used to select paths …

Second-Order Cone Optimization Modeling And Simulation For Three-Phase Unbalanced Active Distribution Networks, Yiran Zhao, Yong Xue, Haoxin Tian, Ruixin Zhang, Zhi Zhang, Yanbo Chen

Journal of System Simulation

Abstract: Guided by the carbon peaking and carbon neutrality goals, and propelled by the development of new type power systems, the significance of distribution networks as key energy infrastructure has been increasingly underscored. Amidst the burgeoning rise of distributed photovoltaics, electric vehicles, and novel energy storage technologies, distribution networks are transitioning from passive entities to active systems capable of bidirectional interaction, heralding the advent of active distribution networks with a critical mission. This research tackles the optimal power flow issue in three-phase unbalanced active distribution networks, incorporating inter-phase coupling relationships. By employing dimensionality lifting and rank relaxation, along with the …

Robot Path Planning Based On Improved A-Ddqn Algorithm, Peilong Ni, Pengjun Mao, Ning Wang, Mengjie Yang

Journal of System Simulation

Abstract: An improved A-DDQN algorithm is proposed to address the challenges of reward sparsity and the inability to distinguish sample importance in traditional DQN algorithms during robot path planning. Building on the original DQN, an enhancement is made by incorporating the Double-DQN approach, which updates the predictive Q-value network based on actions selected by the Q network, rather than directly using the predicted Q-values for action selection, thereby mitigating overestimation issues. Secondly, the concept of artificial potential field (APF) is introduced to design specific rewards for each step of the robot's movement, guiding the robot and addressing the problem of …

A Model Combining Self-Attention And Weight Sharing For Human Activity Recognition, Lun Ma, Yue Yang, Daihe Wang, Guisheng Liao, Xing Li

Journal of System Simulation

Abstract: With the prevalence of wearable devices, human activity recognition based on wearable sensor data has garnered significant attention. The central issue in this field is how to extract effective behavioral information from raw sensor data to form corresponding feature vectors. Currently, convolutional neural networks and recurrent neural networks have been widely utilized for feature extraction from multisensory data. However, these networks struggle to globally capture the crucial temporal features inherent of human activity over time. To address this, a multi-CNN-BiLSTM-self attention (Multi-CBSA) model based on self-attention and weight sharing has been proposed, taking into consideration the logical correlations among …

Framework For Assessing Sustainability In Industry 4.0: Supply Chain Optimization, Manufacturing Processes, And Energy Consumption Reduction, Mohamed Abouhawwash, Nebojsa Bacanin

Sustainable Machine Intelligence Journal

Decision making has uncertainty problems in evaluation process, so to overcome uncertainty existing fuzzy decision-making approaches, the neutrosophic set is used to solve incomplete data. Interval valued neutrosophic numbers (IVNNs) are used in this study to solve uncertainty problems. The IVNNs are used with the multi-criteria decision making (MCDM) methods. MCDM method is used to deal with different criteria and alternatives. This study proposes an MCDM methodology for assessment sustainability in industry 4.0. Twenty cases and ten alternatives are used in this study. The criteria weights are computed using the average method. The alternatives are ranked using the ARAS method. …

Research On The Truth, Function And Common Principles Of Simulation, Haohua Xu, Bin Xiao, Yunhao Cui

Journal of System Simulation

Abstract: Simulation applications are becoming increasingly widespread and have a greater impact, while the theoretical foundation of simulation is relatively weak. This article provides a new definition of simulation by analyzing the common activities of simulation, which can include both virtual and real simulation forms; referring to Popper's three worlds theory, this paper discusses the objective authenticity of simulation from a philosophical perspective; From a methodological perspective, this paper elaborates on the methodological characteristics of simulation as an indirect cognitive object, revealing its significance in integrating human-machine intelligence and promoting knowledge evolution. It also discusses the common principles of simulation, …

Solving The Vehicle Routing Problem Based On Deep Reinforcement Learning, Ming Jiang, Tao He

Journal of System Simulation

Abstract: The capacitated vehicle routing problem (CVRP) is a well-known combinatorial optimization challenge recognized as NP-hard due to its significant complexity. Building upon existing research, this paper introduces a novel end-to-end deep reinforcement learning approach based on a multi-pointer Transformer to tackle the CVRP. The proposed algorithm employs an invertible residual network in the encoder to encode input features, effectively reducing memory consumption. In the decoder, a multipointer network determines the probability distribution of solutions. To further enhance the performance of CVRP solutions, the algorithm leverages the symmetry in combinatorial optimization by implementing multi-trajectory parallel processing during both training …