Digital Commons Network^™

"We Are Bad Feminists!": Understanding Genre And Rhetoric In (Post)Feminist Dramedy Television, Cailin Rolph

All HCAS Student Capstones, Theses, and Dissertations

Centered on Lena Dunham’s Girls (2012) and Phoebe Waller-Bridge’s Fleabag (2016) this thesis examines the use of genre conventions in dramedy to facilitate feminist critiques of postfeminist ideals. In conducting a case study of feminist rhetoric present in the shows Girls and Fleabag, this thesis addresses a gap in genre studies concerning the social and political potency of the dramedy genre. The thesis utilizes rhetorical critique, through generic methods, to identify the specific techniques used by Dunham and Waller-Bridge. Through its analyses, this thesis argues that dramedy can uniquely operate as a work of social action and critique, using …

March 20, 2024, Faculty, Illinois Wesleyan University

2023-2024

No abstract provided.

Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany

Conference papers

Gendered language is the use of words that denote an individual's gender. This can be explicit where the gender is evident in the actual word used, e.g. mother, she, man, but it can also be implicit where social roles or behaviours can signal an individual's gender - for example, expectations that women display communal traits (e.g., affectionate, caring, gentle) and men display agentic traits (e.g., assertive, competitive, decisive). The use of gendered language in NLP systems can perpetuate gender stereotypes and bias. This paper proposes an approach to generating gendered language datasets using ChatGPT which will provide data for data-driven …

Will Saf Turbocharge The Corn Ethanol Market?, Richard K. Perrin, Lilyan E. Fulginiti, Felipe Miranda De Souza Almeida

Cornhusker Economics

The long-run outlook for the corn ethanol industry is questionable, due to a transition to electric and hybrid vehicles. One source of hope for the long run is the potential demand for producing Sustainable Aviation Fuel (SAF). SAF is a key component in the United States Aviation Climate Action Plan, a path to net-zero greenhouse gas (GHG) emissions in the aviation industry by 2050. Demand for ethanol for SAF offers hope to the ethanol industry, but it depends a great deal on policy decisions that are being made now. Here we sketch out this story.

Based on the information available …

Divergent Detection: A Comprehensive Study Of Dgas Using Fnns For Original, Noise-Modified, And Linear Recursive Sequences(Lrs), Anthony Rizi

Masters Theses & Doctoral Dissertations

This comprehensive research endeavors to address a pressing issue within the realm of cybersecurity—the challenge posed by malicious activities utilizing Domain Generation Algorithms (DGAs). These algorithms, numbering at least 84 traditional malware families as of late 2023, dynamically generate domain names to facilitate nefarious operations while evading conventional detection mechanisms. The study generated over 159,750 domains and studied more than 1.27 million data points. Existing studies have predominantly focused on surface-level aspects of DGAs, including domain lengths, alphanumeric values, and top-level domains (TLDs). In response to this challenge, the research question at the core of this study aims to investigate …

Leveraging The Zigbee Pattern Of Life To Identify Devices, Kurt Jarvis

Masters Theses & Doctoral Dissertations

ZigBee is the open-standard enabling smart devices to be adopted in new and innovative ways. In this research, the network layer of the ZigBee protocol is examined to further the understanding of security impacts it brings to the environment. The first research question is determining of the ZigBee beaconing patterns reveal the device type. This is the first layer that introduces encryption and the results indicate that beacon layer data with the lower layer information do not provide enough information to confidently identify the device prior to admittance to the network. This is important in the identification of rogue devices. …

Bertie V. Norman

All Decisions

The landlord brought a holdover proceeding to evict the tenant, claiming the lease had expired. The tenant argued that the building was rent-stabilized because there were once two illegal basement apartments. The court found in favor of the tenant, reasoning that violations issued by the Department of Buildings documenting the existence of two basement apartments constituted unrebutted evidence, and that the landlord failed to disprove their existence. Since the building had more than four apartments, rent stabilization applied to all units.

Shu Ming Wang V. Moises

All Decisions

Wang v Moises is a Holdover-Lease Expiration case in the Civil Court of the City of New York, Kings County. The landlord sought possession of the property alleging lease expiration, while the tenants argued for de facto rent stabilization due to a disputed sixth unit in the basement. The court, after weighing evidence including testimony and documents, found in favor of the landlord, ruling that the basement did not constitute a separate housing unit and thus denying the tenants' rent stabilization claim. The court also upheld the validity of the termination notice issued by the landlord. This judgment highlights the …

Sanitation In Urban Areas May Limit The Spread Of Antimicrobial Resistance Via Flies, Drew Capone, Oliver Cumming, Abeoseh Flemister, Victor Ilevbare, Seth R. Irish, Ishi Keenum, Jackie Knee, Rassul Nala, Joe Brown

Michigan Tech Publications

Synanthropic filth flies are common where sanitation is poor and fecal wastes are accessible to them. These flies have been proposed as mechanical vectors for the localized transport of fecal microbes including antimicrobial resistant (AMR) organisms and associated antimicrobial resistance genes (ARGs), increasing exposure risks. We evaluated whether an onsite sanitation intervention in Maputo, Mozambique reduced the concentration of enteric bacteria and the frequency of detection of ARGs carried by flies collected in household compounds of low-income neighborhoods. Additionally, we assessed the phenotypic resistance profile of Enterobacteriaceae isolates recovered from flies during the pre-intervention phase. After fly enumeration at study …

Current Issues In Criminal Justice: An Analysis Of The Contemporary Topics Influencing Criminal Justice, Paul R. Gormley

Faculty and Staff Publications & Presentations

The criminal justice system in the United States is dynamic and ever-changing. Discussions will focus on those deviations that are currently being examined and argued by scholars, practitioners, and students, who are called upon to interpret constructs, critically and resourcefully, in the foundations of law enforcement, corrections, and the courts. Dialogue and debate will concentrate on the Constitution and its application, the History of Policing and BIOPC, Policing in America from a Post-Pandemic Perspective, Ethics Training, Mass Shooters, Diversity in the Hiring Process, Challenges to Equity, Problem-Solving Courts, Institutional Corrections, and Emerging Technology

2024 Scholarsip Program, Harding University

ScholarSip

This program details the rich body of work published in 2023 by the faculty of Harding University.

Strengthen Establishment Of Application-Supported Major Science And Technology Infrastructure To Enhance Basic Capacity Of Science And Technology For High-Quality Development, Congli Huang, Feite Zhou, Xiang Xu, Lingling Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

From “Two Bombs and One Satellite” to Five-hundred-meter Aperture Spherical Radio Telescope (FAST), from ground zero to the center stage of the world, China has unswervingly followed the path of independent innovation with distinctive characteristics. After the development of nearly half a century, breakthroughs have been made in several key areas. The position, implication, and classification of major scientific and technological infrastructures are constantly changing under the new situation. Based on an in-depth investigation of major scientific and technological infrastructure such as high-efficiency and low-carbon gas turbine research facility, it is believed that the construction of application-supported major scientific and …

Research On Boundary Reconstruction And Government Supervision Strategy For Digital Platform, Jichang Dong, Feiyang Zhan, Wei Li, Jinlu Guo, Ying Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Digital platform is the most important form of organization in the digital era. How to clarify the boundary between platform autonomy and government regulation so as to exert the order maintenance function of platforms effectively is the key issue in the region of the digital economy governance. This study firstly introduces the basic model of platform autonomy and the regulatory challenges it faces, basing on the background of the emergence of digital platform autonomy. Secondly, through a comparative analysis of the regulatory theories and legal policies of the digital platform autonomy in the European Union and the United States, this …

Development Demand, Power Energy Consumption And Green And Low-Carbon Transition For Computing Power In China, Xiaohong Chen, Liaoying Cao, Jiaolong Chen, Jinghui Zhang, Wenzhi Cao, Yangjie Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a critical digital infrastructure, computing power has become the core productivity and a new engine driving economic growth in the digital economy. Nevertheless, the power-hungry nature of computing/data centers, representing the computing infrastructure, consumes a significant amount of electrical energy. Currently, China’s economy is transitioning from high-speed growth to high-quality development. It is imperative to study how to coordinate the development of computing power while ensuring its safety and achieving green and low-carbon goals. Based on an overview of the current status of computing power development, this study predicts the future demand for computing power in China, analyzes the …

Study On R&D Strategies In Nanoscale Science And Technology Of Powerhouses And Insights, Wenyue Bian, Xingjie Liang, Chunlei Ge, Zhongyang Hui, Xiaoqi Jia, Si Liu, Jing Ye, Xiaoyi Chen, Wenjun Wang, Huajun Ju

Bulletin of Chinese Academy of Sciences (Chinese Version)

Nanoscale science and technology (nano S&T) are at the frontier of global strategic high-tech competition. After examining nearly 160 strategy and planning documents released by scientific and technological powerhouses from 2000 to 2023, the study finds ten common approaches adopted by the powerhouses to advance nano S&T as follows. (1) Recognizing nano S&T as a key area for the economy and global competition. (2) Establishing cross-department organizations to meet the cross-disciplinary nature of nano S&T. (3) Developing strategic plans to guide the development of nano S&T and implementing major programs with significant investment. (4) Establishing multidisciplinary nano S&T research centers …

Yulong Snow Mountain National Field Observation And Research Station For Cryosphere And Sustainable Development

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Pollen-Mediated Gene Flow From Herbicide-Resistant Yellow Corn To Non-Genetically Engineered Food-Grade White Corn, Mandeep Singh, Vipan Kumar, Stevan Z. Knezevic, John L. Lindquist, Suat Irmak, Santosh Pitla, Amit J. Jhala

Department of Agronomy and Horticulture: Faculty Publications

Nebraska is the number one producer of food-grade white corn in the United States. Pollen-mediated gene flow (PMGF) from genetically engineered high alpha-amylase corn, known as Enogen corn, to food-grade white corn can have undesirable outcomes. Alpha-amylase can convert starch in white corn to sugar during or after its processing, degrading the quality of processed products. Thus, proximity to Enogen corn puts white corn production at risk. The objectives of this study were to evaluate the PMGF from herbicide-resistant yellow corn to food-grade white corn and assess the significance of wind speed and direction. Field experiments were set up using …

Research On Artificial Intelligence Crime And China’S Countermeasures, Jianxin Gao, Jinping Sun, Yukun Cai, Chongpeng Wang, Yanyan Yang, Kaiyue Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of artificial intelligence technology has constantly given rise to new scenarios, models, and markets, changing the way information and knowledge are generated. Nevertheless, the security risks exposed by technology, such as algorithm bias, data leakage, false content generation, and improper use, are also prone to trigger various new types of crimes. There are still loopholes in legal regulation and technological prevention under the current situation, which poses severe challenges to crime crackdown. In order to effectively meet the new challenges of China’s artificial intelligence (AI) crime, we should supplement and improve the existing legal norms, improve the …

Intelligent Algorithm Safety: Concepts, Scientific Problems And Prospects, Xueqi Cheng, Wei Chen, Huawei Shen, Shiguang Shan, Xilin Chen, Guojie Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Intelligent algorithms refer to the methods embodied in the computational processes that realize intelligence. These methods are often characterized by being data-driven, involving uncertain computations, and with unexplainable model inferences. These characteristics simultaneously introduce potential safety risks to the application of intelligent algorithms and AI. This study firstly explores the concepts of intelligent algorithm safety. Specifically, intelligent algorithm safety, based on the degree of human-machine integration, extends from the univariate safety of the algorithm itself to the bivariate applicational safety when the algorithm serves humans, and finally evolves into the multivariate systemic safety arises within complex socio-technical systems of human-machine …

Embodied Artificial Intelligence Security And Governance, Wenyuan Xu, Xiaoyu Ji, Chen Yan, Yushi Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Embodied artificial intelligence (EAI) is progressively integrated into the fabric of our daily lives, enhancing various sectors such as industrial production, healthcare, and national defense. Nevertheless, the diverse range of hardware devices, software algorithms, and data communications that constitute these complex systems may contain vulnerabilities that could be exploited by attackers, posing a serious threat to personal, social, and national security. Thus, this study examines the security implications and proposes a security framework of EAI, from the perspectives of the information domain, physical domain, and social domain, focusing on its ontological security, interaction security, and application security. To mitigate these …

Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the release and application of open-source large language models (LLMs) represented by DeepSeek, open-source innovation has played an increasingly important role in the rapid development of global artificial intelligence (AI) technology. Through technological innovation, cost reduction, performance improvement, and application demonstration, DeepSeek has opened up a disruptive innovation path and improved the research and application level of AI in China and its international influence. In order to further promote the construction of China’s AI open source innovation ecosystem and promote the continuous innovation and iteration of AI technology, this study analyzes the outstanding problems in China’s AI innovation ecosystem …

Discussion On Open-Source And Closed-Source Technology Models In Era Of Artificial Intelligence, Xiaolong Zheng, Jiatong Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

This article presents the advantages and disadvantages of open-source and closed-source models in technology innovation and ecosystem construction in the era of artificial intelligence. We explore some current cutting-edge controversies between the two technology models, and puts forward some basic ideas for breaking the deadlock, which can provide some significant insights into promoting the healthy development of artificial intelligence technologies.

Exploration And Practice Of New Industry-Academia-Research Collaboration Mechanism Based On Open-Source Model, Yungang Bao

Bulletin of Chinese Academy of Sciences (Chinese Version)

DeepSeek has rapidly expanded globally on a large scale through the open-source model, prompting various sectors to reflect on the value and significance of open-source. This study argues that open-source is an effective way to build consensus and organize high-density talent, as it is supported by objective laws. These include sociological principles such as breaking knowledge monopolies and promoting knowledge dissemination, as well as economic principles like “transaction cost” and the “Jevons effect”. Furthermore, this study suggests that open-source is also an effective approach to establish efficient collaborative mechanisms among industry, academia, and research. Two specific cases are introduced—the Open-Source …

Current Status, Trends, And Policy Recommendations For Global Open Source Ecosystem Development, Xue Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

Open source, as an innovative production model characterized by openness and sharing, has become a core driving force for innovation, openness, sharing, and sustainable development in the digital economy. This study explores the significant value of open source from four dimensions: technological innovation, industrial development, economic contribution, and social sustainability. The current global open source ecosystem is showing a positive development trend, with a continuous increase in the number of open source projects and the scale of contributors. In China, open source efforts are gradually gaining momentum in emerging technology fields. Looking ahead, open source projects are expected to follow …

On Global Security Governance’S New Trends And China’S Responses From Perspective Of Scientific And Technological Revolution, Haoguang Liang, Linman Wu, Zhujun Liu, Yaojun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Due to the new round of sci-tech revolution and industrial transformation, the relation between scientific progress and national security has been upgraded to an unprecedented strategic height. Therefore, it is vitally important to explore the current situation and future trajectory of the relation between the two. This study discusses the new trends between global scientific progress and the security of sovereign countries. It believes that scientific progress has catalyzed the new geopolitical contests, development contradiction and hegemonic tools in global security governance, thereby enlightening China’s approach to national security. To maintain holistic national security, China should formulate an overall strategic …

Computing Power Security Governance From Perspective Of Overall National Security Concept, Hui Li, Na Wang, Long Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Currently, with the rapid development of computing technology and the continuous expansion of computing applications, various types of computing security incidents occur frequently. As an emerging security issue, computing security has become a key fact affecting national security. Strengthening the governance of computing power security has become an important part of the modernization of the national security governance system and governance capacity in China. To clarify the theoretical connotation, risk manifestations, and governance strategies of computing power security governance, this study takes the overall national security concept as guidance and the logical guidance of “issue identification-risk deconstruction-governance response” to analyze …

Breaking Through “Data Bottleneck” Of Ai Large Models—Reflections On Building A National Corpus Operation Platform, Xingteng Li, Feng Feng, Liqiang Huang

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, the competition within the global artificial intelligence (AI) large model industry is intensifying, and corpus resources emerging as a critical determinant for enhancing the technical performance and practical efficacy of AI systems. Nevertheless, China’s corpus development faces dual challenges in both quantity and quality, struggling to meet the escalating training demands of the rapidly evolving AI large model sector. Internationally, nations are ramping up efforts to develop their corpus infrastructures, particularly prioritizing the creation and deployment of high-quality linguistic datasets. In this context, through comparative analysis of international benchmarks and domestic conditions, this study proposes a strategic framework …

New Situation And Risk Coping Strategy Of Supply Chain Security Of Lithium Battery Industry Chain In China, Peng Du, Xuhua Qiu, Yusen Bai, Dong Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

Lithium battery industry is the core of supporting modern energy transformation and technological innovation of traffic electrification. In recent years, China’s lithium battery industry chain and supply chain security is facing new situations such as international trade and geopolitical conflicts, core technology dependence, and changes in domestic investment and financing environment. Based on the perspective of global supply chain management and industrial technology innovation, this study systematically analyzes the supply chain security of lithium battery industry chain in China, discusses the necessity of strategic cooperation of resources worldwide, independent innovation of technology, and optimization of supply chain management, and puts …

Prediabetes And Associated Risk Of Cardiovascular Events And Chronic Kidney Disease Among Adult Survivors Of Childhood Cancer In The St Jude Lifetime Cohort, Stephanie B Dixon, Fang Wang, Lu Lu, Carmen L Wilson, Daniel M Green, Deo Kumar Srivastava, Rebecca M Howell, John L Jefferies, Leslie L Robison, Kirsten K Ness, Melissa M Hudson, Wassim Chemaitilly, Gregory T Armstrong

Faculty, Staff and Student Publications

Purpose: Little is known about the prevalence of prediabetes and associated risk of cardiovascular events and chronic kidney disease (CKD) with this reversable condition in survivors.

Methods: Prevalence of prediabetes (fasting plasma glucose 100-125 mg/dL or hemoglobin A1c 5.7%-6.4%) and diabetes was clinically assessed in 3,529 adults ≥5 years from childhood cancer diagnosis and 448 controls stratified by age. Cox proportional hazards regression estimated progression from prediabetes to diabetes, and risk of future cardiac events, stroke, CKD, and death.

Results: Among survivors, median age 30 years (IQR, 18-65), and the prevalence of prediabetes was 29.2% (95% CI, 27.7 to 30.7) …

Understanding Heterogeneity In Individual Responses To Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories In Adults With Overweight Or Obesity: Secondary Analysis Of A 6-Month Randomized Controlled Trial, Shiyu Li, Yan Du, Hongyu Miao, Kumar Sharma, Chengdong Li, Bradley Brimhall

Faculty, Staff and Student Publications

Background: Achieving clinically significant weight loss through lifestyle interventions for obesity management is challenging for most individuals. Improving intervention effectiveness involves early identification of intervention nonresponders and providing them with timely, tailored interventions. Early and frequent self-monitoring (SM) adherence predicts later weight loss success, making it a potential indicator for identifying nonresponders in the initial phase.

Objective: This study aims to identify clinically meaningful participant subgroups based on longitudinal adherence to SM of diet, activity, and weight over 6 months as well as psychological predictors of participant subgroups from a self-determination theory (SDT) perspective.

Methods: This was a secondary data …