Digital Commons Network^™

Tailoring Neoadjuvant Systemic Therapy In Breast Cancer: “The Advent Of A Personalized Approach”-The Breast-Gynecological And Immuno-Oncology International Cancer Conference (Bgicc) Consensus And Recommendations, Hesham Elghazaly, Hamdy A Azim, Hope S Rugo, David Cameron, Sandra M Swain, Giuseppe Curigliano, Nadia Harbeck, Debu Tripathy, Banu Arun, Matti Aapro, Martine Piccart, Fatima Cardoso, Joseph Gligorov, Hagar Elghazawy, Nagi S El Saghir, Frederique Penault-Llorca, Edith A Perez, Philip Poortmans, Hany Abdelaziz, Heba M El-Zawahry, Loay Kassem, Mohamed Sabry, Giuseppe Viale, Sana Al-Sukhun, Neven Gado, Jessica W T Leung, Lobna Ezz Elarab, Maria João Cardoso, Khaled Abdel Karim, Meteb Foheidi, Merit M Elmaadawy, Pierfranco Conte, Ashraf S M Selim, Alaa Kandil, Rasha M Kamal, Ruslan M Paltuev, Valentina Guarneri, Omalkhair Abulkhair, Omar Zakaria, Mehra Golshan, Roberto Orecchia, Manal Elmahdy, Ahmed M Abdel-Aziz, Nermean Bahie Eldin

Faculty, Staff and Student Publications

Background: The management of early breast cancer (BC) has witnessed an uprise in the use of neoadjuvant therapy and a remarkable reshaping of the systemic therapy postneoadjuvant treatment in the last few years, with the evolution of many controversial clinical situations that require consensus.

Methods: During the 14th Breast-Gynecological and Immuno-Oncology International Cancer Conference held in Egypt in 2022, a panel of 44 BC experts from 13 countries voted on statements concerning debatable challenges in the neo/adjuvant treatment setting. The recommendations were subsequently updated based on the most recent data emerging. A modified Delphi approach was used to develop this …

Genevic: Genetic Data Exploration And Visualization Via Intelligent Interactive Console, Anindita Nath, Savannah Mwesigwa, Yulin Dai, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackles this challenge by bridging the gap between genetic data generation and biomedical knowledge discovery. Leveraging generative AI, notably ChatGPT, it serves as a biologist’s “copilot.” It automates the analysis, retrieval, and visualization of customized domain-specific genetic information, and integrates functionalities to generate protein interaction networks, enrich gene sets, and search scientific literature from PubMed, Google Scholar, and arXiv, making it a comprehensive tool for biomedical research. In its pilot phase, GENEVIC is assessed using a curated database …

Revolutionizing Early Detection: The Influence Of Machine Learning In Esophageal Adenocarcinoma Diagnosis, Rabia Younas, Hafiz Burhan Ul Haq, Hafsa Naveed

Sustainable Machine Intelligence Journal

Machine learning is an analysis technique of big data that uses computers and mathematical models to develop algorithms. These algorithms are applied in many situations and one of the most common uses is in developing prediction models. Machine learning is the activity of making prognosis of other data points which are related to the self using key factors from a dataset. It is designed to effectively predict the dysplasia within a given setting using machine learning algorithms on a dataset with primary focus on Barrett’s Esophagus. The study investigates the use of five classification methods: As per the classification, the …

A Scoping Review Of Rule-Based Clinical Decision Support Malfunctions, Jeritt G Thayer, Amy Franklin, Jeffrey M Miller, Robert W Grundmeier, Deevakar Rogith, Adam Wright

Faculty, Staff and Student Publications

Objective: Conduct a scoping review of research studies that describe rule-based clinical decision support (CDS) malfunctions.

Materials and methods: In April 2022, we searched three bibliographic databases (MEDLINE, CINAHL, and Embase) for literature referencing CDS malfunctions. We coded the identified malfunctions according to an existing CDS malfunction taxonomy and added new categories for factors not already captured. We also extracted and summarized information related to the CDS system, such as architecture, data source, and data format.

Results: Twenty-eight articles met inclusion criteria, capturing 130 malfunctions. Architectures used included stand-alone systems (eg, web-based calculator), integrated systems (eg, best practices alerts), and …

Drugformer: Graph-Enhanced Language Model To Predict Drug Sensitivity, Xiaona Liu, Qing Wang, Minghao Zhou, Yanfei Wang, Xuefeng Wang, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Drug resistance poses a crucial challenge in healthcare, with response rates to chemotherapy and targeted therapy remaining low. Individual patient's resistance is exacerbated by the intricate heterogeneity of tumor cells, presenting significant obstacles to effective treatment. To address this challenge, DrugFormer, a novel graph-augmented large language model designed to predict drug resistance at single-cell level is proposed. DrugFormer integrates both serialized gene tokens and gene-based knowledge graphs for the accurate predictions of drug response. After training on comprehensive single-cell data with drug response information, DrugFormer model presents outperformance, with higher F1, precision, and recall in predicting drug response. Based on …

Tcellsi: A Novel Method For T Cell State Assessment And Its Applications In Immune Environment Prediction, Jing-Min Yang, Nan Zhang, Tao Luo, Mei Yang, Wen-Kang Shen, Zhen-Lin Tan, Yun Xia, Libin Zhang, Xiaobo Zhou, Qian Lei, An-Yuan Guo

Faculty, Staff and Student Publications

T cell is an indispensable component of the immune system and its multifaceted functions are shaped by the distinct T cell types and their various states. Although multiple computational models exist for predicting the abundance of diverse T cell types, tools for assessing their states to characterize their degree of resting, activation, and suppression are lacking. To address this gap, a robust and nuanced scoring tool called T cell state identifier (TCellSI) leveraging Mann-Whitney

Do Women Receive Worse Financial Advice?, Utpal Bhattacharya, Amit Kumar, Sujata Visaria, Jing Zhao

Research Collection Lee Kong Chian School Of Business

We arranged for trained undercover men and women to pose as potential clients and visit all 65 local financial advisory firms in Hong Kong. At financial planning firms, but not at securities firms, women were more likely than men to receive advice to buy only individual or only local securities. Female clients who signaled high confidence, high risk tolerance, or a domestic outlook were especially likely to receive this suboptimal advice. Our theoretical model explains these patterns as a result of statis-tical discrimination interacting with advisors’ incentives. Taste-based discrimination is unlikely to explain the results.

Insights From An Updated Personnel Selection Meta-Analytic Matrix: Revisiting General Mental Ability Tests’ Role In The Validity-Diversity Trade-Off, Christopher M. Berry, Filip Lievens, Charlene Zhang, Paul R. Sackett

Research Collection Lee Kong Chian School Of Business

General mental ability (GMA) tests have long been at the heart of the validity–diversity trade-off, with conventional wisdom being that reducing their weight in personnel selection can improve adverse impact, but that this results in steep costs to criterion-related validity. However, Sackett et al. (2022) revealed that the criterion-related validity of GMA tests has been considerably overestimated due to inappropriate range restriction corrections. Thus, we revisit the role of GMA tests in the validity-diversity trade-off using an updated meta-analytic correlation matrix of the relationships six selection methods (biodata, GMA tests, conscientiousness tests, structured interviews, integrity tests, and situational judgment tests) …

A Wrong In Search Of A Duty: Public Nuisance, Social Media And The Youth Mental Health Crisis, Charles Bachmann

Cardozo Journal of Equal Rights & Social Justice

The note argues that social media companies should be held accountable for their role in the youth mental health crisis through the legal framework of public nuisance law. Drawing parallels to successful cases against tobacco and opioid companies, the author contends that social media platforms, by prioritizing profits over user well-being, contribute to widespread harm such as anxiety, depression, and suicide among youth. While acknowledging concerns about judicial overreach and the challenges of proving causation, the note advocates for judicial intervention as a necessary corrective in the absence of effective legislative action.

Annotated Legal Bibliography

Cardozo Journal of Equal Rights & Social Justice

No abstract provided.

Invasive Forest Pest Education Through Identification, Reporting, And Children’S Introduction Brochures, Lauren E. Keefe

Department of Entomology: Distance Master of Science Projects

Forest pest insects, whether native or non-native, can be extremely detrimental to the health of a landscape, and can contribute to massive ecological, economic, and cultural losses. Unless directly exposed to the damage these pests cause, many people do not seek to become informed on the insects. A series of brochures was thus created as a collaboration between the online UNL M.S. in Entomology requirements and a need for updated Nebraska Forest Service Forest Health brochures. These brochures focus on invasive forest insect identification and reporting, as well as introducing the concepts of the invasives to children.

Five invasive insects …

China And Global Trade Order Post Ukraine War: From Value Chains To Values Chains, Henry S. Gao

Research Collection Yong Pung How School Of Law

China has long been hailed as the biggest success story in economic development through integration into global value chains, especially since its accession to the WTO 20 years ago. However, it is much less well-known how China refitted the global value chain narrative to influence economic analysis and trade governance. At the same time, the value chains analysis also backfired when the U.S. tried to cut China out of its supply chains and pushed for decoupling with China, while China itself started to abuse its role in value chains for political gains. The process was further accelerated by the Ukraine …

A Simulation And Small-Group Pediatric Emergency Medicine Course For Generalist Healthcare Providers: Gastrointestinal And Nutrition Emergencies, Adeola Adekunbi Kosoko, Alicia E Genisca, Nicholas A Peoples, Connor Tompkins, Ryan Sorensen, Joy Mackey

Faculty, Staff and Student Publications

Audience and type of curriculum: This is a review curriculum utilizing multiple methods of education to enhance the skills of generalist healthcare providers in low- and middle-income countries (LMICs) in the identification and stabilization of pediatric respiratory emergencies. Our audience of implementation was Belizean generalist providers (nurses and physicians).

Length of curriculum: 8-10 hours.

Introduction: Early recognition and stabilization of critical pediatric patients can improve outcomes. Compared with resource-rich systems, many low-resource settings (i.e., LMICs) rely on generalists to provide most pediatric acute care. We created a curriculum for general practitioners comprising multiple educational modules focused on identifying and stabilizing …

Quantifying Placenta Accreta Spectrum Severity And Its Associated Blood Loss: A Novel Transvaginal Ultrasound Scoring System, Neha Agarwal, Edgar Hernandez-Andrade, Baha M Sibai, Farah H Amro, Jennie O Coselli, Michal F Bartal, Dejian Lai, Eleazar E Soto Torres, Sami Backley, Anthony Johnson, Jimmy Espinoza, Eric P Bergh, Sen Zhu, Ashley Salazar, Sean C Blackwell, Ramesha Papanna

Faculty, Staff and Student Publications

Background: Hemorrhage associated with placenta accreta spectrum (PAS) is a leading cause of maternal morbidity and mortality. Estimating blood loss in these individuals is a critical component of comprehensive preoperative planning.

Objective: A semiquantitative score based on transvaginal ultrasound was developed and tested to predict PAS, estimate its severity, and blood loss in individuals with clinical and ultrasound evidence suggesting PAS.

Study design: A secondary analysis was conducted of prospectively collected data from a quaternary center of patients with suspected accreta on 2D ultrasound and clinical suspicion. A predetermined scoring system was applied based on three components: (1) uterine wall …

Teacher Self Efficacy And The Work Environment, Marium Carpen

Seton Hall University Dissertations and Theses (ETDs)

In a time of uncertainty, teachers have been the backbone of the educational world. They provide a sense of consistency to many students who may need positive role models in their life. Teachers take on roles as caregivers, educators, friends, and are often a “safe place” for students. Yet, how have teachers been supported during times of crisis? With the recent COVID-19 pandemic shifting the world of education, elementary school teachers have had to adapt to new changes within their daily work environment. From transitioning to immediate virtual learning and returning to in-person learning with safety protocols, understanding teacher self-efficacy …

Learning Opportunities 2024/2025, Illinois Mathematics And Science Academy

Course Catalogs

The graduation requirements of the Illinois Mathematics and Science Academy are established by the IMSA Board of Trustees. Each semester students must take a minimum of five academic courses (2.5 credits) for a letter grade (not Pass/Fail) not including Fine Arts, Wellness, SIR, Internship, and Independent Study. Students may enroll in a maximum of eight courses each semester including academic courses, Fine Arts, Wellness, SIR, Internship, and Independent Study. The College and Academic Counselor approves enrollment for students in all courses and experiences. Only courses taken for a letter grade will count toward graduation credit.

The Framework Is The Message: Legal And Ethical Implications Of Chatgpt, Amanda Turnbull

Canadian Journal of Law and Technology

The rapid rise of generative AI represents a palpable paradigm shift: models like GPT-3 (and its subsequent iterations), DALL-E, and AlphaCode are becoming foundation models for many other AI-based applications. Foundation models may be used for many different tasks with minimal modification and are positioned to replace task-specific models of AI. This holds tremendous promise in society such as advancing scientific research, rethinking education and training, and creating new types of art and expression. At the same time, however, generative AI has its dark side such as accuracy risk, the threat of large-scale unemployment, potential security vulnerabilities, and AI misbehaviour …

Public History In The Middle School Classroom, Victoria L. Sanchez

Capstone Projects

This project was inspired by my own experience as a middle school classroom teacher and seeks to highlight the crossover between public history pedagogies and middle school social studies instruction. The project’s main focus lies on providing social studies educators with resources to learn about, teach, and integrate classroom projects that draw on public history pedagogies and methods. I created the public PHxMS website to achieve this goal. The intended impact of this site, upon being shared with educators, is to increase awareness about and interest in the field of public history, provide a resource for educators who might be …

Acculturation And Attitudinal Disposition Of People From India Living In The United States Toward Mental Health Services, Santhosh Jose Adhikarathil

Dissertations

Acculturation experience and attitudes toward seeking mental health services among Asian Indian Americans, an ethnic minority group, are predominantly underrepresented in current literature despite their increasing number in the United States. The purpose of this study was to assess the acculturation experience of Asian Indian Americans and their attitude toward seeking mental health services, and to explore the relationship between acculturation levels and attitudes toward seeking mental health services. I used a quantitative research design to conduct this study. I employed an online survey through Qualtrics. The participants (n = 568) constituted a probability sample recruited from Indian-based Christian churches …

Digits Recognition For Arabic Handwritten Through Convolutional Neural Networks, Local Binary Patterns, And Histogram Of Oriented Gradients, Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

Baghdad Science Journal

The recognition of handwritten text is a topic of study that has several applications. One of these applications is the recognition of handwriting in official documents, historical scripts, bank checks, etc., which is a problem that might be considered relatively a security issue. The topic of handwriting recognition has been the subject of a significant amount of study and analysis in recent years. People from a variety of countries, including all of the countries that use Arabic as their primary language, as well as Persian, Urdu, and Pashto languages, also use Arabic characters in their scripts. As people's handwriting is …

Jasbo: Jaya Average Subtraction Based Optimization With Deep Learning Model For Multi-Classification Of Infectious Disease From Unstructured Data, Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-Kharaz

Baghdad Science Journal

Infectious diseases have become an unavoidable big trouble in today's environment with a similar symptomatology that makes difficult of early detection and clear separation of infection. Hence, it is required to generate a new technique that best utilizes the various symptomatologies present in the illnesses for its multi-classification. Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. Accordingly, enriching medical text processing is beneficial in health informatics. In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into …

Check Out The Library, 2024 Fall Issue, Cal Poly Humboldt Library

Library Publications

No abstract provided.

New Ways Of Teaching Adat (Customary) Law At Indonesian Law Schools, Tody S.J. Utama, Rikardo Simarmata, Jacqueline A.C. Vel, Adriaan W. Bedner

The Indonesian Journal of Socio-Legal Studies

While customary law typically is not the sole legal system regulating people's daily lives, it still plays a big role in shaping the behavior of countless individuals worldwide. For this reason, law schools in many countries teach customary law courses, but these courses often present customary law as a sterile set of principles and norms detached from studying social reality. This approach associates customary law with traditional communities whose members live in relative isolation from the world, ignoring the fact that customary law operates in a legally pluralistic universe, interacting with religious and state law systems, and that it adapts …

Towards Understanding The Relationship Between Hearing Loss And Cognition In Healthy Aging, Samaneh Nemati

Theses and Dissertations

Age-related hearing loss (ARHL) has been increasingly linked to cognitive decline, both directly and through structural brain changes. This study utilized data from the Aging Brain Cohort project at the University of South Carolina (ABC@UofSC) to investigate the relationships between hearing impairments, cognitive performance, and gray matter volume across key brain regions. Specifically, the study aimed to: (i) examine the mediating role of gray matter volume in the relationship between ARHL and cognitive impairments; (ii) investigate the role of regional brain age gap in mediating the relationship between ARHL and cognitive decline; and (iii) delineate the distinctive impact of ARHL …

Augmented Reality Based Maintenance Operations And Training, Victor Scott Gadow

Theses and Dissertations

Augmented Reality (AR) is the process of superimposing virtual information on top of objects or other structures in the real-world environment. It is considered one of many paradigms included in the idea of smart manufacturing and can enable a mixture of the other technologies involved. A large increase in research on AR has been seen in the past decade as technologies have begun to evolve to become more robust and reliable. It has been implemented into several key areas of manufacturing such as maintenance, assembly, training, and quality control. The rise of industry 4.0 is changing how data is used …

A Process Planning Software For Modeling Parameter Behavior In Automated Fiber Placement, Benjamin Jeffrey Francis

Theses and Dissertations

The manufacturing of large-scale, geometrically complex composite structures is often accomplished today using the Automated Fiber Placement (AFP) process. AFP utilizes a fiber placement end effector and a gantry or robotic kinematic system to lay up groups of composite tows, iteratively building the complete structure. The reduced width of each tow allows the deployment of AFP for builds with significant curvature, unlike other automated methods such as automated tape laying. Despite its proven track record and widespread use, the current AFP process contains inefficiencies and suffers from workflow bottlenecks that significantly increase cycle time, material wastage, and overall cost. A …

Characterizing Mechanical Behaviors Of Railroad Ballast Based On Large-Scale Triaxial Tests, Shihao Huang

Theses and Dissertations

Ballast, typically composed of large unbound aggregates with uniform gradation, is essential for the structural integrity of railroad tracks, facilitating load transfer, drainage, and ensuring stability and resilience. The mechanical behaviors of ballast, including shear resistance, resilient modulus, and permanent deformation, are critical for effective railroad design and maintenance, directly impacting track geometry. Degradation of these mechanical properties can lead to significant track-related issues, such as excessive settlement and train derailments, resulting in substantial property damage, injuries, and fatalities. This dissertation aims to characterize mechanical behaviors of railroad ballast from perspectives of aggregate interaction, cyclic loading pulses and climatic conditions, …

Data-Driven Discovery Of Extreme Thermal Materials By High-Throughput Computation And Machine Learning, Joshua Ojih

Theses and Dissertations

The quest for materials with extraordinary properties has been a longstanding endeavor in material science and engineering, driving future technological advancement. However, the discovery of such materials is non-trivial. Recent advancements in computational methods, particularly the integration of machine learning (ML) techniques with density functional theory (DFT), have opened new avenues for accelerating the discovery of materials with exceptional and extreme properties. This dissertation focuses on developing a synergistic approach and workflow combining ML and DFT to identify materials with properties that are pushed beyond current limits, using lattice thermal conductivity (LTC) as a case study of the workflow.

We …

Evaluation Of Settlement In Poorly Graded Sand With Gravel Under Strain-Controlled Cyclic Triaxial And Dynamic Centrifuge Model Testing Conditions, Elise Jones

Theses and Dissertations

This research evaluates the dynamic behavior and volume change of sand with gravel subjected to cyclic loading. Historically, research on the dynamic behavior of cohesionless soils has primarily focused on the study of liquefaction due to its known implications on soil shear strength loss. Gravelly soil is generally assumed to be less susceptible to liquefaction since its large particle size facilitates drainage during cyclic loading. Gravel’s particle size also makes it difficult to test using standard cyclic shearing laboratory equipment. Thus, there is a lack of widespread research and predictive methods for the dynamic behavior of gravelly soil. Determining the …

Factors Affecting The Transition From Pediatric To Adult Care Among Culturally Deaf Young Adults And Young Adults Who Are Deaf Or Hard Of Hearing, Anna Strickland Kell

Theses and Dissertations

Introduction: Adolescence to adulthood is marked by many transitions, including the transition from a pediatric to an adult medical home, also referred to as a health home. For young adults who are culturally Deaf, deaf, or hard of hearing, this transition may be complicated by population-specific needs related to language, literacy, and accessibility. Prior research with transition-age adolescents and young adults who are culturally Deaf, deaf, or hard of hearing has primarily focused on education or hearing health exclusively. The purpose of this research was to investigate the transition of health care from pediatric to adult services among culturally Deaf …