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Articles 77221 - 77250 of 1439706
Full-Text Articles in Entire DC Network
Copley Connects | Fall/Winter 2024, University Of San Diego
Copley Connects | Fall/Winter 2024, University Of San Diego
Copley Connects Library Newsletter
Message From the Dean | 2
New Faces at Copley | 3
New Art by Tatiana Ortiz-Rubio | 4
Fireside Chat with California Secretary of State, Dr. Shirley Weber | 6
Filipino American History Month | 7
Veterans for Peace | 8
Hispanic Heritage Month | 8
Faculty Spotlight: Diane Maher | 9
Copley Reads | 10
Copley Library Debuts Game Nights | 11
Motivating Physical Activity With Fitness Tracking And The Interpersonal Context, Sapphire H. Lin, Sonny Rosenthal, Rich Ling
Motivating Physical Activity With Fitness Tracking And The Interpersonal Context, Sapphire H. Lin, Sonny Rosenthal, Rich Ling
Research Collection College of Integrative Studies
Many societies have aging populations. Getting older people to exercise can help them achieve a higher quality of life. Fitness tracking and social support can buttress that goal. This study tested the effects of fitness tracking and spousal influence on the physical activity of older adults. In a 2 (blinded vs. feedback) × 2 (individual vs. dyad) between-group experiment, 240 participants received a fitness tracker with a visible or blinded display. They participated in the three-month experiment either individually or with their spouses. Participants who received feedback met daily step counts of 7500 and 10,000 more frequently than those without …
Dipl 4108 International Political Economy, Robert Shaver Ph.D.
Dipl 4108 International Political Economy, Robert Shaver Ph.D.
Diplomacy Syllabi
This course is a comprehensive introduction to the study of international political economy (IPE). Over the course of the semester, we will take an interdisciplinary approach to examine IPE theory, history, trade, development, multinational corporations, the international monetary system, and finance. Primary source readings are paired with the textbook so that students may understand ideas in their original formulation.
Superintendents’ Perceptions Of Strategies For Implementing Social Justice Leadership For Diverse Student Populations, Stefani Mcdade Morrow
Superintendents’ Perceptions Of Strategies For Implementing Social Justice Leadership For Diverse Student Populations, Stefani Mcdade Morrow
Electronic Theses and Dissertations
The purpose of this qualitative study was to explore superintendents’ perceptions of implementing social justice leadership strategies within their K-12 school systems. The study sought to identify how superintendents leveraged the components of social justice leadership in the pursuit of equity for diverse student populations. The researcher conducted the study using interpretive phenomenological analysis methodology to examine the lived experiences of eight Texas superintendents with experience leading equity-focused agendas in their respective districts. The study’s participants included superintendents with experience ranging from 18 months to 16 years, representing districts from small rural areas to major suburban regions. Each participant engaged …
Demystifying And Extracting Fault-Indicating Information From Logs For Failure Diagnosis, Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu
Demystifying And Extracting Fault-Indicating Information From Logs For Failure Diagnosis, Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu
Research Collection School Of Computing and Information Systems
Logs are imperative in the maintenance of online service systems, which often encompass important information for effective failure mitigation. While existing anomaly detection methodologies facilitate the identification of anomalous logs within extensive runtime data, manual investigation of log messages by engineers remains essential to comprehend faults, which is labor-intensive and error-prone. Upon examining the log-based troubleshooting practices at CloudA 1, we find that engineers typically prioritize two categories of log information for diagnosis. These include fault-indicating descriptions, which record abnormal system events, and fault-indicating parameters, which specify the associated entities. Motivated by this finding, we propose an approach to automatically …
An Evaluation Of Cutting-Edge Ai Research Tools Using The React Framework, Susan Gardner Archambault, Jose Rincón
An Evaluation Of Cutting-Edge Ai Research Tools Using The React Framework, Susan Gardner Archambault, Jose Rincón
Librarian Publications & Presentations
As AI continues to revolutionize academic research, librarians must stay informed about the latest AI-powered tools and their potential applications. This article explores a range of cutting-edge AI research tools, evaluating their key features, benefits, and drawbacks using the REACT framework (Relevancy, Ease of Use, Assessing DEIA [diversity, equity, inclusion, and accessibility], Currency, Transparency & Accuracy). We focus on two categories of tools: citation-based literature mapping tools and text-extraction tools for literature reviews. The citation mapping tools are Litmaps, Connected Papers, and ResearchRabbit, which help researchers discover and visualize related academic literature. The text-extraction tools—Elicit, scite, and Consensus—assist in finding, …
Assessing Factors Of Adherence And Efficacy: A Randomized Controlled Trial Of A Fully Automated Self-Help A-Ebt Website, Leila K. Capel, Emily M. Bowers, Mckenzie R. Becker, Marisa P. Davis, Michael E. Levin, Michael P. Twohig
Assessing Factors Of Adherence And Efficacy: A Randomized Controlled Trial Of A Fully Automated Self-Help A-Ebt Website, Leila K. Capel, Emily M. Bowers, Mckenzie R. Becker, Marisa P. Davis, Michael E. Levin, Michael P. Twohig
Psychology Faculty Publications
Treatment for trichotillomania is notably limited, preventing suffering individuals from having access to treatment. To address this need, researchers have developed and tested asynchronous online interventions for adults with trichotillomania. A factor that may impact the efficacy of these programs is the use of phone check-ins (or similar coaching support) to improve treatment adherence in website treatment delivery. In the current study we evaluated the role of check-ins on treatment adherence and efficacy of a website delivering acceptance and commitment therapy-enhanced behavior therapy (A-EBT). A sample of 101 adults with trichotillomania were randomly assigned to an A-EBT web-based intervention with …
Evaluating The Efficacy Of And Preference For Interactive Computer Training With Student-Generated Examples, Sylvia C. Aquino, Stephanie Hood, Tara A. Fahmie, Richard Tanis
Evaluating The Efficacy Of And Preference For Interactive Computer Training With Student-Generated Examples, Sylvia C. Aquino, Stephanie Hood, Tara A. Fahmie, Richard Tanis
Psychology Faculty Research and Publications
Designing effective and preferred teaching practices for undergraduate students are common goals in behavior analytic training programs. A preliminary study by Nava et al. (2019) showed that undergraduate students generally rated peer-generated examples of the principles of behavior analysis as more preferred, relatable, and culturally responsive than traditional textbook examples. However, peer-generated examples did not result in any improvement in performance on concept knowledge assessments. The current study extended the study by Nava et al. by embedding peer-generated examples within interactive computer training (ICT) to provide opportunities for active responding, prompt fading, automated feedback, and practice with examples and nonexamples. …
Stagedvulbert: Multi-Granular Vulnerability Detection With A Novel Pre-Trained Code Model, Yuan Jiang, Yujian Zhang, Xiaohong Su, Christoph Treude, Tiantian Wang
Stagedvulbert: Multi-Granular Vulnerability Detection With A Novel Pre-Trained Code Model, Yuan Jiang, Yujian Zhang, Xiaohong Su, Christoph Treude, Tiantian Wang
Research Collection School Of Computing and Information Systems
The emergence of pre-trained model-based vulnerability detection methods has significantly advanced the field of automated vulnerability detection. However, these methods still face several challenges, such as difficulty in learning effective feature representations of statements for fine-grained predictions and struggling to process overly long code sequences. To address these issues, this study introduces StagedVulBERT, a novel vulnerability detection framework that leverages a pre-trained code language model and employs a coarse-to-fine strategy. The key innovation and contribution of our research lies in the development of the CodeBERT-HLS component within our framework, specialized in hierarchical, layered, and semantic encoding. This component is designed …
Ocapo: Fine-Grained Occupancy-Aware, Empirically-Driven Pdc Control In Open-Plan, Shared Workspaces, Ravi Anuradha, Dulaj Sanjaya Weerakoon, Archan Misra
Ocapo: Fine-Grained Occupancy-Aware, Empirically-Driven Pdc Control In Open-Plan, Shared Workspaces, Ravi Anuradha, Dulaj Sanjaya Weerakoon, Archan Misra
Research Collection School Of Computing and Information Systems
Passive Displacement Cooling (PDC) is a relatively recent technology gaining attention as a means of significantly reducing building energy consumption overheads, especially in tropical climates. PDC eliminates the use of mechanical fans, instead using chilled-water heat exchangers to perform convective cooling. In this paper, we identify and characterize the impact of several key parameters affecting occupant comfort in a 1000m2 open-floor area (consisting of multiple zones) of a ZEB (Zero Energy Building) deployed with PDC units and tackle the problem of setting the temperature setpoint of the PDC units to assure occupant thermal comfort and yet conserve energy. We tackle …
Retrofitting A Legacy Cutlery Washing Machine Using Computer Vision, Hua Leong Fwa
Retrofitting A Legacy Cutlery Washing Machine Using Computer Vision, Hua Leong Fwa
Research Collection School Of Computing and Information Systems
Industry 4.0, the digitalization of manufacturing promises to lead to lowered cost, efficient processes and even discovery of new business models. However, many of the enterprises have huge investments in legacy machines which are not 'smart'. In this study, we thus designed a cost-efficient solution to retrofit a legacy conveyor belt-based cutlery washing machine with a commodity web camera. We then applied computer vision (using both traditional image processing and deep learning techniques) to infer the speed and utilization of the machine. We detailed the algorithms that we designed for computing both speed andutilization. With the existing operational constraints of …
Foss: Towards Fine-Grained Unknown Class Detection Against The Open-Set Attack Spectrum With Variable Legitimate Traffic, Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma
Foss: Towards Fine-Grained Unknown Class Detection Against The Open-Set Attack Spectrum With Variable Legitimate Traffic, Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma
Research Collection School Of Computing and Information Systems
Anomaly-based network intrusion detection systems (NIDSs) are essential for ensuring cybersecurity. However, the security communities realize some limitations when they put most existing proposals into practice. The challenges are mainly concerned with (i) fine-grained unknown attack detection and (ii) ever-changing legitimate traffic adaptation. To tackle these problem, we present three key design norms. The core idea is to construct a model to split the data distribution hyperplane and leverage the concept of isolation, as well as advance the incremental model update. We utilize the isolation tree as the backbone to design our model, named FOSS, to echo back three norms. …
Towards An Extended Resource Theory Of Marital Power: Parental Education And Household Decision-Making In Rural China, Cheng Cheng, Yu Xie
Towards An Extended Resource Theory Of Marital Power: Parental Education And Household Decision-Making In Rural China, Cheng Cheng, Yu Xie
Research Collection School of Social Sciences
Existing literature on the resource theory of marital power has focused on the relative resources of spouses and overlooked the resource contributions of spouses’ extended families. We propose an extended resource theory that considers how the comparative resources of a couple’s natal families are directly associated with marital power, net of the comparative resources of the couple. Using data from the China Panel Family Studies, we examine how the relative education of a couple’s respective parents affects the wife’s decision-making power, net of the relative education of the couple. Results suggest that the higher the wife’s parental education relative to …
Does Relationship Conflict Reduce Novel Idea Communication Through Perceived Leader Openness? Power Distance Orientation As A Moderator, Ming-Hong Tsai
Does Relationship Conflict Reduce Novel Idea Communication Through Perceived Leader Openness? Power Distance Orientation As A Moderator, Ming-Hong Tsai
Research Collection School of Social Sciences
Purpose: This paper aims to investigate why followers have low perceptions of leader openness and thus feel reluctant to communicate novel ideas by examining leader–follower relationship conflict (i.e. interpersonal incompatibility) and a follower’s power distance orientation (i.e. an acceptance of uneven power distribution in organizations) as antecedents. Design/methodology/approach: The research administrators conducted a three-wave work behavior survey in Study 1, a laboratory experiment in Study 2, and an online experiment in Study 3. Findings: The results demonstrated that leader–follower relationship conflict reduced followers’ perceptions of leader openness. However, the negative impact of relationship conflict became non-significant when followers have high …
What Is Beyond Measurement For Social Cohesion?, Qian Hui Tricia Tok, Orlando Woods, Lily Kong
What Is Beyond Measurement For Social Cohesion?, Qian Hui Tricia Tok, Orlando Woods, Lily Kong
Research Collection College of Integrative Studies
“What gets measured gets managed” has long been a mantra to rally improvement throughout various domains of life. Perhaps this is also the case for existing work on social cohesion, whereby much of its conceptual and operational elements have received interest in both academic and policy research aiming for practical improvement with regard to the cohesiveness of communities and societies. We contend, however, that not everything that matters for social cohesion may be measurable, and not everything that has been measured for social cohesion may matter. This is not to suggest that not measuring any indicators is better than measuring …
Enhancing Recipe Retrieval With Foundation Models: A Data Augmentation Perspective, Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang
Enhancing Recipe Retrieval With Foundation Models: A Data Augmentation Perspective, Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang
Research Collection School Of Computing and Information Systems
Learning recipe and food image representation in common embedding space is non-trivial but crucial for cross-modal recipe retrieval. In this paper, we propose a new perspective for this problem by utilizing foundation models for data augmentation. Leveraging on the remarkable capabilities of foundation models (i.e., Llama2 and SAM), we propose to augment recipe and food image by extracting alignable information related to the counterpart. Specifically, Llama2 is employed to generate a textual description from the recipe, aiming to capture the visual cues of a food image, and SAM is used to produce image segments that correspond to key ingredients in …
Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication Of Turri Et Al. (2015), Braeden Hall, Kathleen Schmidt, Jordan Wagge, Savannah C. Lewis, Sophia C. Weissgerber, Felix Kiunke, ..., Andree Hartanto
Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication Of Turri Et Al. (2015), Braeden Hall, Kathleen Schmidt, Jordan Wagge, Savannah C. Lewis, Sophia C. Weissgerber, Felix Kiunke, ..., Andree Hartanto
Research Collection School of Social Sciences
According to the justified true belief (JTB) account of knowledge, people can truly know something only if they have a belief that is both justified and true (i.e., knowledge is JTB). This account was challenged by Gettier, who argued that JTB does not explain knowledge attributions in certain situations, later called “Gettier-type cases,” wherein protagonists are justified in believing something to be true, but their belief was correct only because of luck. Laypeople may not attribute knowledge to protagonists with justified but only luckily true beliefs. Although some research has found evidence for these so-called Gettier intuitions, Turri et al. …
Deliberately Making And Correcting Errors In Mathematical Problem-Solving Practice Improves Procedural Transfer To More Complex Problems, Janson Boon Khang Yap, Sarah Shi Hui Wong
Deliberately Making And Correcting Errors In Mathematical Problem-Solving Practice Improves Procedural Transfer To More Complex Problems, Janson Boon Khang Yap, Sarah Shi Hui Wong
Research Collection School of Social Sciences
How can students effectively learn and transfer mathematical procedures to solve new problems? Here, we tested the effects of deliberately committing and correcting errors during mathematical problem-solving practice on transfer of the learned procedures. In two experiments, university students were instructed on mathematical algorithms (synthetic division and matrix multiplication) and solved practice problems during open-book study. Learners were then tested on flexibly adapting the algorithms to solve novel problems that were structurally more complex or embedded in “real-life” scenarios (i.e., mathematical word problems). Deliberately committing and correcting procedural errors during problem-solving practice yielded better transfer than errorless repeated practice (Experiment …
Can Federated Learning Solve Ai’S Data Privacy Problem?: A Legal Analysis, Warren B. Chik, Florian Gamper
Can Federated Learning Solve Ai’S Data Privacy Problem?: A Legal Analysis, Warren B. Chik, Florian Gamper
Research Collection Yong Pung How School Of Law
Federated learning (FL) is a method of training AI systems on different datasets without sharing data. The promise of FL is to enable AI systems to be trained on data, including personal data, while preserving data privacy and confidentiality, and thus, inter alia, facilitate compliance with data protection legislation. FL has generated a considerable interest amongst the computer science community, yet there is a dearth of legal analysis of FL. This is a problem because the question of whether FL facilitates compliance with data protection legislation is a legal question. This article will fill this lacuna by providing a comprehensive …
Legitimacy At Sea: Expanding Considerations Of Sea Control, Ian Birdwell
Legitimacy At Sea: Expanding Considerations Of Sea Control, Ian Birdwell
Graduate Program in International Studies Theses & Dissertations
Sea control has been marketed and accepted as a norm within the global commons, with a variety of states arguing for their visions of control to be viewed as legitimate. As a piece of the global commons, sea lanes are a critical enabler for the global economy and possess significant military and political significance, yet the literature revolving around ideas of sea control treats it as a military achievement at the end of a campaign and remains focused on naval power as the key mechanism for state involvement. What best explains the mechanism states use to achieve sea control, especially …
Examining Relationships Among Nursing Students’ Views Of Suffering, Positive Thinking, And Professional Quality Of Life, Ruth A. Engbers, Abir K. Bekhet, Teresa Jerofke-Owen, Norah L. Johnson, Maharaj Singh
Examining Relationships Among Nursing Students’ Views Of Suffering, Positive Thinking, And Professional Quality Of Life, Ruth A. Engbers, Abir K. Bekhet, Teresa Jerofke-Owen, Norah L. Johnson, Maharaj Singh
College of Nursing Faculty Research and Publications
Background:
Exposure to suffering can lead to compassion fatigue in undergraduate nursing students.
Objective:
Guided by resilience theory, a cross-sectional, correlational design was used to investigate the potential moderating effect of positive thinking skills on the relationships between views of suffering, compassion fatigue, and compassion satisfaction.
Results:
In 157 undergraduate nursing students, multiple regressions revealed that views of suffering and positive thinking explained 23.8% of the variance in compassion satisfaction (F11,145 = 4.121, P < .001), and 21.9% of the variance in burnout (F11,144 = 3.786, P < .001). The Suffering God view, which stresses the presence of a compassionate deity amid suffering, and positive thinking had significant main effects on compassion satisfaction (β = 0.349, P = .025; and β = 0.309, P < .001, respectively). Positive thinking, the Suffering God view, and the Random view, in which the occurrence of suffering is random and purposeless, had significant main effects on burnout (β = −0.280, P < .001; β = −0.392, P = .014; and β = −0.206, P = .014, …
Multi-Modal Segmentation With Missing Image Data For Automatic Delineation Of Gross Tumor Volumes In Head And Neck Cancers, Yao Zhao, Xin Wang, Jack Phan, Xinru Chen, Anna Lee, Cenji Yu, Kai Huang, Laurence E Court, Tinsu Pan, He Wang, Kareem Abdul Wahid, Abdalah S R Mohamed, Mohamed Naser, Clifton D Fuller, Jinzhong Yang
Multi-Modal Segmentation With Missing Image Data For Automatic Delineation Of Gross Tumor Volumes In Head And Neck Cancers, Yao Zhao, Xin Wang, Jack Phan, Xinru Chen, Anna Lee, Cenji Yu, Kai Huang, Laurence E Court, Tinsu Pan, He Wang, Kareem Abdul Wahid, Abdalah S R Mohamed, Mohamed Naser, Clifton D Fuller, Jinzhong Yang
Faculty, Staff and Student Publications
Background: Head and neck (HN) gross tumor volume (GTV) auto-segmentation is challenging due to the morphological complexity and low image contrast of targets. Multi-modality images, including computed tomography (CT) and positron emission tomography (PET), are used in the routine clinic to assist radiation oncologists for accurate GTV delineation. However, the availability of PET imaging may not always be guaranteed.
Purpose: To develop a deep learning segmentation framework for automated GTV delineation of HN cancers using a combination of PET/CT images, while addressing the challenge of missing PET data.
Methods: Two datasets were included for this study: Dataset I: 524 (training) …
Social Determinants Of Health And Surgical Desirability Of Outcome Ranking In Older Veterans, Michael A Jacobs, Yubo Gao, Susanne Schmidt, Paula K Shireman, Michael Mader, Carly A Duncan, Leslie R M Hausmann, Karyn B Stitzenberg, Lillian S Kao, Mary Vaughan Sarrazin, Daniel E Hall
Social Determinants Of Health And Surgical Desirability Of Outcome Ranking In Older Veterans, Michael A Jacobs, Yubo Gao, Susanne Schmidt, Paula K Shireman, Michael Mader, Carly A Duncan, Leslie R M Hausmann, Karyn B Stitzenberg, Lillian S Kao, Mary Vaughan Sarrazin, Daniel E Hall
Faculty, Staff and Student Publications
Importance: Evaluating how social determinants of health (SDOH) influence veteran outcomes is crucial, particularly for quality improvement.
Objective: To measure associations between SDOH, care fragmentation, and surgical outcomes using a Desirability of Outcome Ranking (DOOR).
Design, setting, and participants: This was a cohort study of US veterans using data from the Veterans Affairs (VA) Surgical Quality Improvement Program (VASQIP; 2013-2019) limited to patients aged 65 years or older with inpatient stays between 2 and 30 days, merged with multiple data sources, including Medicare. Race and ethnicity data were retrieved from VASQIP, Medicare and Medicaid beneficiary summary files, the Veterans Health …
Optical Genome Mapping Improves The Accuracy Of Classification, Risk Stratification, And Personalized Treatment Strategies For Patients With Acute Myeloid Leukemia, Sanam Loghavi, Qing Wei, Farhad Ravandi, Andres E Quesada, Mark J Routbort, Shimin Hu, Gokce A Toruner, Sa A Wang, Wei Wang, Roberto N Miranda, Shaoying Li, Jie Xu, Courtney D Dinardo, Naval Daver, Tapan M Kadia, Ghayas C Issa, Hagop M Kantarjian, L Jeffrey Medeiros, Guilin Tang
Optical Genome Mapping Improves The Accuracy Of Classification, Risk Stratification, And Personalized Treatment Strategies For Patients With Acute Myeloid Leukemia, Sanam Loghavi, Qing Wei, Farhad Ravandi, Andres E Quesada, Mark J Routbort, Shimin Hu, Gokce A Toruner, Sa A Wang, Wei Wang, Roberto N Miranda, Shaoying Li, Jie Xu, Courtney D Dinardo, Naval Daver, Tapan M Kadia, Ghayas C Issa, Hagop M Kantarjian, L Jeffrey Medeiros, Guilin Tang
Faculty, Staff and Student Publications
Cytogenomic characterization is crucial for the classification and risk stratification of acute myeloid leukemia (AML), thereby facilitating therapeutic decision-making. We examined the clinical utility of optical genome mapping (OGM) in 159 AML patients (103 newly diagnosed and 56 refractory/relapsed), all of whom also underwent chromosomal banding analysis (CBA), fluorescence in situ hybridization, and targeted next-generation sequencing. OGM detected nearly all clinically relevant cytogenetic abnormalities that SCG identified with >99% sensitivity, provided the clonal burden was above 20%. OGM identified additional cytogenomic aberrations and/or provided information on fusion genes in 77 (48%) patients, including eight patients with normal karyotypes and four …
Cardiovascular Outcomes, Health-Promoting Behaviors, And Social Determinants: Structural Racism And The Behavioral Risk Factor Surveillance System, Jaclyn K. Schwartz, Emily A. Kringle, Suzanne Perea Burns, Catherine R. Hoyt, Kelly M. Harris, Sami Tayeb
Cardiovascular Outcomes, Health-Promoting Behaviors, And Social Determinants: Structural Racism And The Behavioral Risk Factor Surveillance System, Jaclyn K. Schwartz, Emily A. Kringle, Suzanne Perea Burns, Catherine R. Hoyt, Kelly M. Harris, Sami Tayeb
2020-Current year OA Pubs
No abstract provided.
Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly
Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly
Faculty, Staff and Student Publications
Advances in the multidisciplinary care of early stage resectable NSCLC (rNSCLC) are emerging at an unprecedented pace. Numerous phase 3 trials produced results that have transformed patient outcomes for the better, yet these findings also require important modifications to the patient treatment journey trajectory and reorganization of care pathways. Perhaps, most notably, the need for multispecialty collaboration for this patient population has never been greater. These rapid advances have inevitably left us with important gaps in knowledge for which definitive answers will only become available in several years. To this end, the International Association for the Study of Lung Cancer …
Understanding Russian Hybrid Warfare Against Europe In The Energy Sector And In The Future ‘Energy-Resources-Climate’ Security Nexus., Maurizio Geri
Understanding Russian Hybrid Warfare Against Europe In The Energy Sector And In The Future ‘Energy-Resources-Climate’ Security Nexus., Maurizio Geri
Journal of Strategic Security
To avoid escalations to full kinetic (military) wars is imperative to win the non-kinetic part of the so-called “hybrid warfare”, which use both kinetic and non-kinetic methods. The goal of the non-kinetic methods of hybrid warfare, or as others call it “grey zone” activities, or “subthreshold” tactics, is to defeat hearts and minds, as well as pockets, of adversaries, with social, political, and economic tools. This article focuses on energy as the crucial sector of the economic tools, and specifically uses an innovative approach, what the author calls the ‘energy-resources-climate security nexus’, as a new battleground for future strategic competition …
An Overview Of The Activities Of Different Actors In The Reconstruction Efforts In Borno, Nigeria: 2016 - 2023, Wazeer Murtala
An Overview Of The Activities Of Different Actors In The Reconstruction Efforts In Borno, Nigeria: 2016 - 2023, Wazeer Murtala
Journal of Strategic Security
Nigeria-Boko Haram’s competition for dominance has been the subject of many scholarly works and commentaries. Evidence shows that Nigeria is emerging victorious in the military struggle and the country is building on this relative success by engaging in infrastructural reconstruction that is akin to post-war rebuilding. With Borno State as the focal point, this article summarizes the activities of different actors (local and international) in the reconstruction efforts. Through a qualitative survey of different primary documents such as reports, news articles, videos, and other relevant materials, this study finds that the reconstruction efforts in Borno State between the years 2016 …
Crimen En La Frontera: Exploring Texas-Mexico Border Crimes Using A Geospatial Analysis, Carlos Alvarez, Jascha Wagner
Crimen En La Frontera: Exploring Texas-Mexico Border Crimes Using A Geospatial Analysis, Carlos Alvarez, Jascha Wagner
Journal of Strategic Security
Border crimes threaten public safety and security in the United States and the US-Mexico border region. Several evaluations support that data-driven, place-based crime prevention approaches can complement current public safety strategies and help reduce crime. Accordingly, place-based crime prevention may successfully prevent border crimes since these are inherently spatial. However, few studies have analyzed the geographies of Texas-Mexico border crimes, and assessments of data-driven, place-based crime prevention strategies of border crimes still lack a solid empirical foundation – especially in more rural border communities. To address this issue, this study builds police report data (Border Incident Assessment Report (BIAR)), used …
Using Screen-Based Simulation In Family Nurse Practitioner Education, Angela M. Mcnelis, Kristina Thomas Dreifuerst, Sarah L. Beebe, Majeda El-Banna, Mary S. Dietrich
Using Screen-Based Simulation In Family Nurse Practitioner Education, Angela M. Mcnelis, Kristina Thomas Dreifuerst, Sarah L. Beebe, Majeda El-Banna, Mary S. Dietrich
College of Nursing Faculty Research and Publications
Background
Innovations in nursing education are crucial for developing new learning approaches to ensure quality preparation and an adequate number of nurse practitioners (NPs). This necessity prompts exploration and implementation of alternative clinical educational approaches, such as screen-based simulation (SBS), to address challenges posed by limited clinical sites and preceptors.
Purpose
The study aim was to compare the effectiveness of SBS with that of traditional precepted clinical experiences in students’ attainment of mastery of knowledge in the domains of assessment, diagnosis, treatment, and evaluation across the pediatric, adolescent, adult, and geriatric populations.
Methods
A quasi-experimental, pretest/posttest design was employed. Family …