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Articles 40711 - 40740 of 1439300
Full-Text Articles in Entire DC Network
W-Rag: Weakly Supervised Dense Retrieval In Rag For Open-Domain Question Answering, Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
W-Rag: Weakly Supervised Dense Retrieval In Rag For Open-Domain Question Answering, Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
Computer Science and Engineering
In knowledge-intensive tasks such as open-domain question answering (OpenQA), large language models (LLMs) often struggle to generate factual answers, relying solely on their internal (parametric) knowledge. To address this limitation, Retrieval-Augmented Generation (RAG) systems enhance LLMs by retrieving relevant information from external sources, thereby positioning the retriever as a pivotal component. Although dense retrieval demonstrates state-of-the-art performance, its training poses challenges due to the scarcity of ground-truth evidence, largely attributed to the high costs of human annotation. In this paper, we propose W-RAG, a method that draws weak training signals from the downstream task (such as OpenQA) of an LLM, …
The Art Of Memory: The Medieval Peutinger Map, Amber Shrewsbury
The Art Of Memory: The Medieval Peutinger Map, Amber Shrewsbury
Dissertations and Theses
The Peutinger map is an enigma: a twelfth-century map of the Roman Empire, it is secular and oddly shaped, its dimensions distorted to show Rome at the center of the world. Its creator, purpose, and provenance currently remain lost to history. Long considered by classicists to be a copy of a lost Roman original, the map has not been seriously examined by medievalists, possibly because it does not adhere to the Christian "T-O" style of medieval mappaemundi.
While other scholars have focused on what the Peutinger map reflects about ancient Rome, I have chosen to explore how the Peutinger …
Using Artificial Intelligence To Improve Customer Engagement: User Experience With Chatbot Technology, Aicha Zemmouri, Salma Choufari
Using Artificial Intelligence To Improve Customer Engagement: User Experience With Chatbot Technology, Aicha Zemmouri, Salma Choufari
Journal of Marketing and Consumer Behaviour in Emerging Markets
This study examines the impact of artificial intelligence (AI) on improving customer loyalty through the use of chatbot technology, with a specific focus on the user experience of Moroccan consumers. The increasing integration of AI into customer service, especially through chatbots, represents a significant shift in how companies interact with their customers. Given Morocco’s growing digitalization and the strategic importance of customer loyalty, it is critical to understand how consumers perceive and interact with these technologies. To achieve this, the study used a qualitative research method of semi-structured interviews to investigate consumers’ perceptions, interaction behaviours, and challenges with chatbot usage. …
Detection Of Neuron Derived Cfdna In Blood Plasma: A New Diagnostic Approach For Neurodegenerative Conditions, Chad Alan Pollard
Detection Of Neuron Derived Cfdna In Blood Plasma: A New Diagnostic Approach For Neurodegenerative Conditions, Chad Alan Pollard
Theses and Dissertations
Neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS) are characterized by the progressive loss of distinct neuronal subtypes, yet current diagnostic tools are either invasive, limited in resolution, or poorly suited for early detection and longitudinal monitoring. This dissertation began with a proof-of- concept study using bisulfite-PCR at a neuron-enriched locus to detect cortical neuron-derived cell-free DNA (cfDNA) in AD plasma samples, establishing the potential of cfDNA as a marker of neuronal injury. Building on these preliminary findings, a novel framework was developed utilizing Oxford Nanopore Technologies (ONT) to profile genome-wide native DNA …
The Impact Of Inorganic Nitrate On Endothelial Function: A Systematic Review Of Randomized Controlled Trials And Meta-Analysis, Esther Muriuki
The Impact Of Inorganic Nitrate On Endothelial Function: A Systematic Review Of Randomized Controlled Trials And Meta-Analysis, Esther Muriuki
School of Health Professions
Context: Inorganic nitrate is an exogenous source of nitric oxide, an established regulator of vascular homeostasis via the nitrate-nitrite-nitric oxide pathway. Here, we evaluate the impact of inorganic nitrate on endothelial function, a risk factor for cardiovascular disease. Objective: A systematic review of the existing literature and meta-analysis was performed. Trials testing inorganic nitrate compared with a control were selected and the change in forearm endothelial function (as assessed by flow-mediated dilatation [FMD]) were included. Data Sources: The following databases were searched: Medline, Web of Science, and Scopus. Data Extraction: and Analysis Standardized mean differences in %FMD were pooled using …
Thinking On Simulation Science And Engineering In The Era Of Artificial Intelligence, Wenhui Fan, Yuan Jiang
Thinking On Simulation Science And Engineering In The Era Of Artificial Intelligence, Wenhui Fan, Yuan Jiang
Journal of System Simulation
Abstract: With the rapid advancement of artificial intelligence and computing technologies, simulation technologies have leapfrogged, propelling the discipline of simulation toward greater maturity. Research progress in computer simulation technologies both in China and abroad was reviewed, and the definition and connotation of simulation were clarified. It was proposed that the Chinese terms "仿真" "仿效"and " 模拟" be unified under a single term " 仿真" with corresponding "Simulation" "Emulation" and "Analog" in English translated uniformly as "Simulation". Simulation science and engineering discipline was delineated, which was grounded in three core theoretical foundations: analogical theory,computational theory, and model validation theory. The first-level …
What Drives Weight Status Among Female University Students? A Machine Learning Analysis Of Sociodemographic, Dietary, And Lifestyle Determinants, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah
What Drives Weight Status Among Female University Students? A Machine Learning Analysis Of Sociodemographic, Dietary, And Lifestyle Determinants, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah
All Works
Background: Obesity and underweight are increasingly common among young adult women, often resulting from complex interactions between diet, lifestyle, and socioeconomic factors. This study addresses that gap by applying machine learning to a wide range of behavioral, dietary, and demographic data. The main research question asks: What are the key factors influencing weight status among female university students, and how accurately can machine learning models identify them? We hypothesize that different factors are significantly associated with underweight, overweight, and obesity, and that machine learning can reliably detect these patterns. The aim is to identify the strongest predictors and support more …
The Flash Technique As An Effective Low-Intensity Intervention For Migrants At The U.S. Point Of Entry, Selma D. Yznaga, Sik-Lam Wong, Suzanne Maniss
The Flash Technique As An Effective Low-Intensity Intervention For Migrants At The U.S. Point Of Entry, Selma D. Yznaga, Sik-Lam Wong, Suzanne Maniss
Counseling Faculty Publications
Migrants often face severe trauma before and during their journey, leading to mental health challenges such as post-traumatic stress disorder and acute stress. This study explores the Flash Technique (FT) as a one-time intervention for newly arrived migrants. Twelve healthcare professionals and 11 student interns trained in FT provided interventions to 55 migrants, who showed substantial improvements in subjective units of distress scores. The findings highlight the efficacy of a low-intensity intervention in a humanitarian context, which can serve to mitigate the long-term psychological impact of trauma.
Personalized Emoji Prediction Framework Using Personality, Emotion, And User Preferences, Mariam Lotfy Gaafar
Personalized Emoji Prediction Framework Using Personality, Emotion, And User Preferences, Mariam Lotfy Gaafar
Theses and Dissertations
Emoji prediction plays a vital role in digital communication by enriching text with personality, individual style, and emotional tone. However, existing frameworks primarily rely on user-generated text combined with statistical or language models, often overlooking the importance of individual user traits and contextual information. Recent research highlights that integrating user-specific features, such as historical usage patterns and emotional context, can significantly improve emoji prediction accuracy. Building on these insights, we propose a comprehensive emoji prediction framework that incorporates user history, personality traits, and real-time emotional context. We leverage the Pan17 corpus, which contains a sufficient number of posts per user, …
Granulocyte-Colony Stimulating Factor Effects On The Mesolimbic Dopamine Circuitry And Adaptations With Chronic Ethanol Exposure, Rachel Ji-Hyae Campbell
Granulocyte-Colony Stimulating Factor Effects On The Mesolimbic Dopamine Circuitry And Adaptations With Chronic Ethanol Exposure, Rachel Ji-Hyae Campbell
Theses and Dissertations
The mesolimbic dopamine (DA) system contributes to reward and reinforcement learning for ethanol (EtOH). The nucleus accumbens (NAc) receives DA input from the ventral tegmental area (VTA) encoding rewarding information. Acute EtOH increases NAc DA levels, and this DA response is attenuated with chronic EtOH exposure. Furthermore, chronic EtOH results in reduced DA release, increased DA clearance and presynaptic D2-type auto-receptor sensitization. Further research into EtOH-induced neural adaptations that modulate NAc DA release is explored herein, including changes in cholinergic interneurons (CIN), which are known regulators of DA transmission. One potential class of regulators are immune related cytokines, that can …
Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham
Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham
Theses and Dissertations
Rocket launches generate extremely high acoustic levels, particularly in the low-frequency range, posing risks to both launch vehicle integrity and surrounding infrastructure. This thesis investigates the use of near-field acoustic intensity measurements to localize sound sources on moving launch vehicles, with a focus on characterizing source behavior during the early phases of liftoff. Using data from the Antares 230 NG-19 mission, acoustic pressure was recorded at multiple stations surrounding the pad, and the Phase and Amplitude Gradient Estimator (PAGE) method was employed to compute intensity vectors as a function of frequency and time. Signal processing parameters were systematically evaluated, including …
Prenatal Maternal Mood Instability And Child Externalizing Problems: An Ecological Momentary Assessment Study, Sophie G. Srivastava, Curt A. Sandman, Elysia Poggi Davis, Laura M. Glynn
Prenatal Maternal Mood Instability And Child Externalizing Problems: An Ecological Momentary Assessment Study, Sophie G. Srivastava, Curt A. Sandman, Elysia Poggi Davis, Laura M. Glynn
Psychology Faculty Articles and Research
This study examines whether exposure to affect fluctuations during fetal development have implications for child psychopathology. To evaluate maternal mood instability, participants (N = 154) completed Ecological Momentary Assessment (EMA) eight times per day across three days at 15-, 25-, and 35-weeks' gestation, and then at two months postpartum. The EMA measured depressive symptoms (Center for Epidemiologic Studies Depression Scale), anxiety (Profile of Mood States), and stress (Perceived Stress Scale). Mood instability was quantified by calculating root mean square of successive differences (RMSSD), which captures both variability and temporal dependency of mood states. When the children were 3 years …
Lgbt Young Adults’ Experience Of Exiting Foster Care, Shaylon Joseph
Lgbt Young Adults’ Experience Of Exiting Foster Care, Shaylon Joseph
Walden Dissertations and Doctoral Studies
The scholarly community understands little about the experiences of lesbian, gay, bisexual, and transgender (LGBT) young adults as they transition out of the foster care system. This study explored the lived experiences and difficulties encountered by LGBT young adults after exiting foster care. Grounded in Erikson’s theory of psychosocial development, this qualitative dissertation employed a phenomenological design to interpret how participants made sense of their transitions. Recruitment was conducted through a flyer posted on Facebook and the Department of Children and Family Services; 10 LGBT young adults participated in 60-minute interviews. Using interpretative phenomenological analysis, the study revealed six overarching …
Protein Structure Influences Redox Stability, Oxygen Affinity, And Heat-Induced Denaturation Properties Of Bovine Myoglobin, Hemoglobin, And Cytochrome C, Anuj Sharma, Runnan Li, Silan Bhandari, Surendranath P. Suman, Sadagopan Krishnan, Morgan Pfeiffer, Gretchen Mafi, Ranjith Ramanathan
Protein Structure Influences Redox Stability, Oxygen Affinity, And Heat-Induced Denaturation Properties Of Bovine Myoglobin, Hemoglobin, And Cytochrome C, Anuj Sharma, Runnan Li, Silan Bhandari, Surendranath P. Suman, Sadagopan Krishnan, Morgan Pfeiffer, Gretchen Mafi, Ranjith Ramanathan
Animal and Food Sciences Faculty Publications
While past research has predominantly focused on the role of myoglobin in meat color, investigations into the contributions of hemoglobin and cytochrome c are limited. Cytochrome c has the highest redox stability (P < 0.05), followed by myoglobin and hemoglobin. Electrochemistry analysis revealed that cytochrome c has a greater capacity (P < 0.05) to reduce than myoglobin and hemoglobin. Differential scanning calorimetry indicates that cytochrome c was most stable to heat (P < 0.05), while no differences were noted between myoglobin and hemoglobin. Structural analysis noted that greater heat and redox stability of cytochrome c might be attributed to fewer histidine residues (3) and more covalent bonds (4) than myoglobin (13), hemoglobin α (10), and hemoglobin β (6). This study suggests that the amino acid sequence and number of covalent bonds can impact the redox stability and heat-induced denaturation properties of myoglobin, hemoglobin, and cytochrome c.
Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie
Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie
Faculty, Staff and Student Publications
Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …
A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang
A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang
Faculty, Staff and Student Publications
Early prediction of treatment response can facilitate personalized treatment for breast cancer patients. Studies on the I-SPY 2 clinical trial demonstrate that multi-time point dynamic contrast-enhanced magnetic resonance (DCEMR) imaging improves the accuracy of predicting pathological complete response (pCR) to chemotherapy. However, previous image-based prediction models usually rely on mid- or post-treatment images to ensure the accuracy of prediction, which may outweigh the benefit of response-based adaptive treatment strategy. Accurately predicting the pCR at the early time point is desired yet remains challenging. To improve prediction accuracy at the early time point of treatment, we proposed a two-stage dual-task learning …
Cdc1s Promote Atherosclerosis Via Local Immunity And Are Targetable For Therapy, Miguel Galán, Suin Jo, Tian-Tian Liu, Kenneth M. Murphy, Et Al.
Cdc1s Promote Atherosclerosis Via Local Immunity And Are Targetable For Therapy, Miguel Galán, Suin Jo, Tian-Tian Liu, Kenneth M. Murphy, Et Al.
2020-Current year OA Pubs
BACKGROUND: Atherosclerosis is characterized by immune cell accumulation in the arterial wall and adaptive CD4
METHODS: We tested atherosclerosis in
RESULTS: Expansion of DCs in
CONCLUSIONS: Using state-of-the-art strategies, our results establish that cDC1s have a proatherogenic role in atherosclerosis by boosting CD4
Secondary Malignancies In Patients With Meningioma: A Surveillance, Epidemiology, And End Results Data Analysis, Maxwell W. Pickles, Thomas Z. Rohan, Shreya Vinjamuri, Nikolaos Mouchtouris, Roger Murayi, David P. Bray, James J. Evans
Secondary Malignancies In Patients With Meningioma: A Surveillance, Epidemiology, And End Results Data Analysis, Maxwell W. Pickles, Thomas Z. Rohan, Shreya Vinjamuri, Nikolaos Mouchtouris, Roger Murayi, David P. Bray, James J. Evans
Department of Neurosurgery Faculty Papers
BACKGROUND: The risk of secondary primary malignancies (SPMs) in meningioma patients is not well understood. In this unidirectional analysis, we evaluated the risk of SPMs occurring following a primary diagnosis of meningioma.
METHODS: The Surveillance, Epidemiology, and End Results (SEER-17) database (2000-2020) was used to identify 124,769 meningioma patients from a total of 9,208,295 cancer cases. Standardized incidence ratios (SIRs) were calculated using SEER's statistical analysis package to evaluate SPM risk. Basic demographic and treatment information was collected as well.
RESULTS: Of the 124,769 patients, 11,411 (9.2%) received diagnoses of an SPM, which correlates to a higher risk than the …
Matrix Molecules Associated With Both Regulation Of Inflammation And Pathogenic Outcomes Associated With The Surface Of The Lens In The Eyes Of Eau Mice, Phuong M. Le, Jodirae Dedreu, Mary J Mattapallil, Rachel R Caspi, Ryan Tomlinson, Mary Ann Stepp, A. Sue Menko
Matrix Molecules Associated With Both Regulation Of Inflammation And Pathogenic Outcomes Associated With The Surface Of The Lens In The Eyes Of Eau Mice, Phuong M. Le, Jodirae Dedreu, Mary J Mattapallil, Rachel R Caspi, Ryan Tomlinson, Mary Ann Stepp, A. Sue Menko
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Immune cells with immunoregulatory properties are recruited to the surface of the lens in the Experimental Autoimmune Uveitis (EAU) mouse and remain linked through resolution of EAU inflammation. Since protein components of the extracellular matrix provide biochemical and mechanical signals that regulate immune cell migration and phenotype, we investigated whether EAU inflammation caused matrix molecules to become associated with the lens surface. We focused on matrix proteins known to influence leukocyte phenotype and behavior, and/or lead to pathological outcomes in uveitis. We found that fibrinogen became associated with the lens capsule surface by the peak of EAU inflammation and increased …
Impact Of Sars-Cov-2 On Healthcare And Essential Workers: A Longitudinal Study Of Promis-29 Outcomes, Jocelyn Dorney, Imtiaz Ebna Mannan, Caitlin Malicki, Lauren E. Wisk, Joann Elmore, Kelli N. O'Laughlin, Dana Morse, Kristyn Gatling, Michael Gottlieb, Michelle Santangelo, Michelle L'Hommedieu, Nicole L. Gentile, Sharon Saydah, Mandy J. Hill, Ryan Huebinger, Katherine Riley Martin, Ahamed H. Idris, Efrat Kean, Kevin Schaeffer, Robert M. Rodriguez, Robert A. Weinstein, Erica S. Spatz, Inspire Group
Impact Of Sars-Cov-2 On Healthcare And Essential Workers: A Longitudinal Study Of Promis-29 Outcomes, Jocelyn Dorney, Imtiaz Ebna Mannan, Caitlin Malicki, Lauren E. Wisk, Joann Elmore, Kelli N. O'Laughlin, Dana Morse, Kristyn Gatling, Michael Gottlieb, Michelle Santangelo, Michelle L'Hommedieu, Nicole L. Gentile, Sharon Saydah, Mandy J. Hill, Ryan Huebinger, Katherine Riley Martin, Ahamed H. Idris, Efrat Kean, Kevin Schaeffer, Robert M. Rodriguez, Robert A. Weinstein, Erica S. Spatz, Inspire Group
Department of Emergency Medicine Faculty Papers
IMPORTANCE: The mandatory service of essential workers during the COVID-19 pandemic was associated with high job stress, increased SARS-CoV-2 exposure, and limited time for recovery following infection. Understanding outcomes for frontline workers can inform planning for future pandemics.
OBJECTIVE: To compare patient-reported outcomes by employment type and SARS-CoV-2 status.
DESIGN: Data from the INSPIRE registry, which enrolled COVID-positive and COVID-negative adults between 12/7/2020-8/29/2022 was analyzed. Patient-reported outcomes were collected quarterly over 18 months.
SETTING: Participants were recruited across eight US sites.
PARTICIPANTS: Employed INSPIRE participants who completed a short (3-month) and long-term (12-18 month) survey.
EXPOSURE: SARS-CoV-2 index status and …
I, As In We, Cj Maruyama
I, As In We, Cj Maruyama
Dissertations and Theses
I, as in We is a hybrid collection of poems, essays, fictional letters, documents, and photographs through which the author revisits ancestors and explores their multiracial roots. Drawing on stories, interviews and research grounded in the Japanese American experience, the collection develops a call-and-response polyvocality that spans generations and geographies. In its use of white space, form experimentation, and tonal shifts, the work confronts the fluid, often ambiguous boundaries that shape identity. The compiled written and visual materials evolve into an original document--one that reaches toward heritage, belonging, and truth.
Integration Of A Pedometer-Based Physical Activity Intervention With Cognitive Behavioral Therapy For Adults With Chronic Obstructive Lung Disease, Patricia M Bamonti, Marilyn L Moy, Grace A Rose, Amy K Silberbogen, Jeffrey A Cully, Erica R Checko, David Coultas, Brent R Schell, Jennifer Moye
Integration Of A Pedometer-Based Physical Activity Intervention With Cognitive Behavioral Therapy For Adults With Chronic Obstructive Lung Disease, Patricia M Bamonti, Marilyn L Moy, Grace A Rose, Amy K Silberbogen, Jeffrey A Cully, Erica R Checko, David Coultas, Brent R Schell, Jennifer Moye
Faculty, Staff and Students Publications
Physical activity interventions effectively improve physical activity (i.e., daily step count) and reduce the risk of adverse health outcomes in persons with chronic obstructive pulmonary disease (COPD), but effects on depression and anxiety are poorly understood. Behavioral interventions concurrently targeting both physical activity and mood symptoms are needed in this population. This paper describes acceptability testing and refinement of Step-CBT, a synchronous, video-delivered, pedometer-based physical activity intervention integrated with cognitive behavioral therapy (CBT) to improve step count in individuals with COPD; physical disability and depression and anxiety symptoms are secondary outcomes. Adults (N = 5) with COPD and clinically significant …
Machine Learning Assisted Immune Profiling Of Copd Identifies A Unique Emphysema Subtype Independent Of Gold Stage, Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh
Machine Learning Assisted Immune Profiling Of Copd Identifies A Unique Emphysema Subtype Independent Of Gold Stage, Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh
Faculty, Staff and Students Publications
Chronic obstructive pulmonary disease (COPD) is a severe, progressive, and heterogeneous disease with a poor outcome. Inflammation plays a central role in disease pathogenesis; however, the interplay between immune changes and disease heterogeneity has been difficult to unravel. We performed a multilevel immunoinflammatory characterization of patients with COPD using flow cytometry, cytokine profiling, single-cell, or spatial transcriptomics in combination with machine learning algorithms. Our cross-cohort analysis demonstrated shared skewing of immune profiles in COPD lungs toward adaptive immune cells. We furthermore identified a subgroup of patients with COPD with a distinct immune profile, characterized by increased antigen-presenting cells, mast cells, …
High Achievers Awards 2014
University anniversary celebration materials
No abstract provided.
¿Quién Es Responsable? (Who Is Responsible?): Different Framings About The Responsibility To Maintain Bilingualism In The United States, Heidy Sarabia, Diana Perez Valverde
¿Quién Es Responsable? (Who Is Responsible?): Different Framings About The Responsibility To Maintain Bilingualism In The United States, Heidy Sarabia, Diana Perez Valverde
International Journal on Responsibility
This study explores the perspectives of Chicanx/Latinx educational practitioners on the importance of maintaining bilingualism and the strategies employed by individuals and institutions to achieve this goal. Through oral histories, Chicanx/Latinx educational practitioners discussed the individual responsibility of preserving the Spanish language within families and the limitations of individualized strategies. They highlighted the need for institutional support through bilingual education programs, which foster linguistic diversity and cultural pride. Bilingual education programs were identified as key institutional spaces that foster cultural and linguistic pride, promote positive ethnic and racial identity development, and create a sense of belonging for students and their …
Evaluating Counseling Skills Through Language Style Matching: A Computer-Aided Text Analysis Of Suicide And General Counseling Transcripts, Chung-Fan Ni, Justin Jacques, Charles Silber, Cass Dykeman
Evaluating Counseling Skills Through Language Style Matching: A Computer-Aided Text Analysis Of Suicide And General Counseling Transcripts, Chung-Fan Ni, Justin Jacques, Charles Silber, Cass Dykeman
Journal of Technology in Counselor Education and Supervision
This pilot study applies Computer-Aided Text Analysis (CATA) to examine Language Style Matching (LSM) in counseling transcripts, offering a novel metric for counselor education and supervision. Analyzing 50 suicide-focused and 100 general counseling sessions using LIWC-22 software, we found high LSM scores in both contexts (suicide-focused: M = 0.906; general: M = 0.903). Bayesian analysis provided moderate evidence (BF01 = 5.048) in support of the null hypothesis, indicating no significant difference between the two session types. The consistently high LSM suggests counselors effectively build strong alliances and align with client goals across topics. LSM analysis provides an objective measure of …
Civility And Inter-Cultural Dialogue: Negotiating Respect In The Law School Classroom And Beyond, Chris Chambers Goodman
Civility And Inter-Cultural Dialogue: Negotiating Respect In The Law School Classroom And Beyond, Chris Chambers Goodman
Pepperdine Dispute Resolution Law Journal
Increasing polarization magnifies the importance of inter-cultural dialogue, which can be fruitful if the participants treat one another with civility. Civility manifests in various forms, and this Comment will focus on civility through the lens of Stephen L. Carter’s lauded book Civility: Manners, Morals, and the Etiquette of Democracy, applying lessons at the micro-level in the law school classroom. Part II explores various aspects of civility and the rules governing civility. Then, Part III focuses on civility in the legal profession and California’s new Continuing Learning Education (CLE) requirement. Next, Part IV briefly addresses views of civility from faith perspectives. …
Being There: Perils Of Disembodied Mediation, Rob Mcniff
Being There: Perils Of Disembodied Mediation, Rob Mcniff
Pepperdine Dispute Resolution Law Journal
Following the growth of online mediation during the COVID-19 pandemic, practitioners and ADR scholars sought to delineate the virtues and shortcomings of the online process. Many report satisfaction with online mediation. Still, critics find the process devoid of emotional experience or otherwise “dehumanizing.” As ADR practitioners contrast online and face-to-face experiences, and recommend a forum to disputing parties, they should acknowledge that online platforms can never replicate physical encounters between embodied persons. This Article draws on the work of 20th century philosophers, psychologists, and sociologists to explore mediation as corporeal encounter between embodied subjects. Online mediation, by constraining the involvement …
Corruption's Challenge To Arbitral Legitimacy, Margaret L. Moses
Corruption's Challenge To Arbitral Legitimacy, Margaret L. Moses
Pepperdine Dispute Resolution Law Journal
The widespread growth of corruption in international business transactions has created a crisis of legitimacy for international arbitration. Because international contracts regularly provide for resolution of disputes by arbitration, the deep-rooted presence of fraud, bribery, money laundering and other illicit activity raises challenges to arbitrators about their proper role in resolving disputes tainted by corruption. In cases of corruption, parties may refrain from presenting facts and evidence that reveal their deceptive practices. Arbitrators need to be more interventionist in these kinds of cases than they have been in traditional arbitration practice. Following the Introduction in Part I, Part II of …
Author Instructions, Pacific Seabird Group