Social and Behavioral Sciences Commons^™

Current Conditions, Issues, And Suggestions For Ecological Protection And High-Quality Development In Loess Plateau, Bojie Fu, Yansui Liu, Zhi Cao, Zhuangzhuang Wang, Xutong Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ecological protection and high-quality development of the Yellow River Basin has been prioritized as a national strategy. The release and implementation of the Outline of the Yellow River Basin's Ecological Protection and High-quality Development Plan in 2021 have placed the Loess Plateau, located in the middle reach of the Yellow River, in a critical phase characterized by the need to sustain ecological restoration achievements while fostering socioeconomic progress. This study provides a comprehensive overview of the current conditions and issues related to ecological construction and socioeconomic development in the Loess Plateau. It proposes four specific suggestions focusing on improving …

Research On China’S Marine Protected Areas Policy Based On Kunming-Montreal Global Biodiversity Framework 2030 Targets, Ke Duan, Xiulin Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Kunming-Montreal Global Biodiversity Framework adopted by the United Nations Convention on Biological Diversity (CBD) at the Conference of Parties (COP15) has set a series of targets, including protecting at least 30% of the oceans by 2030 worldwide. In China, how to build a marine ecological civilization in synergy with the targets has become an important issue. This study analyzes the necessity of accelerating the construction of marine protected areas in China from the perspectives of adapting to international trends, fulfilling the responsibilities of international conventions, safeguarding maritime rights and interests, and implementing the maritime power and strategy. The feasibility …

Background Situation, Strategic Suggestions And Future Prospects Of Construction Of New Energy System, Ye Zhu, Shiming Xu, Xiaohua Ding, Haitao Yin, Donglan Zha, Hao Ding, Aimin Zhou, Shun Wan

Bulletin of Chinese Academy of Sciences (Chinese Version)

“We will speed up the planning and development of a system for new energy sources” is a new formulation and new judgment of the 20th National Congress of the Communist Party of China, which points out a new development direction for China's energy industry and has important strategic significance. Standing at a new starting point, how to accurately understand the core essence of the new energy system, what key construction tasks the new energy system contains, what key points standing at a new starting point, following issues, i.e., how to accurately understand the core essence of the new energy system, …

Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a …

Research On Multi-Source Heterogeneous Big Data Fusion Based On Wsr, Aihua Li, Weijia Xu, Yong Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of multi-source heterogeneous big data, big data presents new features such as cross, diversity and variability. The applications of big data in a wider range of fields have new requirements for data fusion. Under this background, the connotation of data fusion is enriched and expanded. The generalized data fusion includes the fusion of data resources, the fusion of model methods, and the fusion of decision-makers' knowledge and experience. This study analyzes the characteristics of multi-source heterogeneous data fusion at three different fusion levels: data level, information level and decision level, and discusses challenges for data fusion in …

Progress And Development Suggestions For Psychological Research On Climate Change, Yan Sun, Xuefeng Chen, Yuanchao Gong, Jianchi Tian, Zeyu Ji, Yang Li, Hongyan Guo, Jin Han, Linxiu Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The public's psychological reactions to climate change, including cognition, attitude, emotions, and affects, are important psychological antecedents to their participation in the mitigation of and adaptation to climate change crisis. As a result, tracking, monitoring, and learning about these individuals' psychological reactions to climate change would lay the foundation for climate change education, mass media communication, and successful implementation of climate policies. The current study systematically summarizes the multi-dimensional factors influencing individuals' psychological reactions to climate change, and proposes suggestions for the development of psychological research on climate change and for climate actions. Hopefully, this study would raise the awareness …

The Influence Of Framing And Recent Experience On Farmer Choices In Experimental Games Depicting Risk-Reducing Agricultural Technologies, Ana Maria Ospina Tobar

Electronic Theses and Dissertations

Climate change is a major threat to food security, particularly in low and middle-income countries that are highly dependent on staple crops for subsistence. The vulnerability of staple crops, like maize, in the face of climate change, is increasing due to the increasing frequency of droughts. This thesis aims to evaluate two mechanisms through which farmers may be more willing to adopt new technologies that increase their resilience to climate change: First, I evaluate the effectiveness of a new virtual maize farming game as a learning tool to teach farmers about the outcomes they could obtain under different weather events …

Collaborative And Engaged Research To Strengthen Equity And Adaptive Governance In Co-Managed Fisheries, Gabrielle V. Hillyer

Electronic Theses and Dissertations

Small-scale, co-managed fisheries are found throughout the world and often represent intertwining cultures, societies, communities, economies, institutions, and governments. They face complex issues, derived from ecological and social sources. Solving these issues requires diverse expertise, often developed through engaged methodologies which can facilitate collaborative solution creation between researchers, community members, and others. In this dissertation, I demonstrate the benefits of these engaged methodologies and review how they, when coupled with anticolonial approaches to research, can create more equitable solutions to complex issues. This dissertation focuses on multiple projects within the wild clam fishery in Maine including: (1) the creation of …

Scaling Up The Relevance Of Land-Sea Connections In Coastal Bacteria Pollution Vulnerability, Bea E. Van Dam

Electronic Theses and Dissertations

Bacteria pollution closures of Maine’s coastal shellfish harvest areas have substantial negative consequences for coastal businesses and communities. Sustainability solutions for Maine’s shellfish harvesting areas and businesses require new types of knowledge and information to protect water quality and public health while avoiding unnecessary fishery closures. Coastal management agencies have interests in tools to support science-based management decision-making related to pollution and sustainability solutions for businesses and communities.

Prior research into land-sea connections has demonstrated uses of geographic information and statistical methods to facilitate management and science communication. Research in Maine has focused on identification and comparison of attributes influencing …

A Framework For Creating Virtual Reality Models For More Effective Coastal Flood Risk Communication, Tina Korani, Alexandrea Martinez

CSU Journal of Sustainability and Climate Change

Coastal cities are exposed to increasing risks of flooding from sea-level rise. Climate change is expected to double the frequency of coastal flooding within the next decade, and some areas could experience floods of a magnitude 100 times higher than currently (Vitousek et al., 2017). People living in at-risk areas often ignore the impact of climate change on flood intensity and frequency. Immersive visual storytelling techniques proved promising and powerful tools to engage with and raise awareness of flood hazards. Here, we are introducing a framework to use Virtual Reality (VR) to reach better people living in coastal cities and …

Environmental And Socio-Economic Stress In The Mountain West, Ayda Atici, Caitlin J. Saladino, Fatma Nasoz, William E. Brown Jr.

Environment

This fact sheet examines data on environmental and socio-economic risk metrics including which metrics pose the most risk for Nevada counties.The data are retrieved from “System for the Triage of Risks from Environmental and Socio-Economic Stressors” created by the Massachusetts Institute of Technology (MIT) joint program on the science and policy of global change.

Using Geographic Information To Explore Player-Specific Movement And Its Effects On Play Success In The Nfl, Hayley Horn, Eric Laigaie, Alexander Lopez, Shravan Reddy

SMU Data Science Review

American Football is a billion-dollar industry in the United States. The analytical aspect of the sport is an ever-growing domain, with open-source competitions like the NFL Big Data Bowl accelerating this growth. With the amount of player movement during each play, tracking data can prove valuable in many areas of football analytics. While concussion detection, catch recognition, and completion percentage prediction are all existing use cases for this data, player-specific movement attributes, such as speed and agility, may be helpful in predicting play success. This research calculates player-specific speed and agility attributes from tracking data and supplements them with descriptive …

A Four-Pronged Approach To Addressing A Wild Pig Invasion In A Bottomland And Upland Forested Landscape, Tyler Scott Evans

Theses and Dissertations

Among exotic species that are capable of invading, establishing, and reaching pest status, few pose the range of impacts to biotic (e.g., competition with native species, predation, herbivory, introduction of other exotics) and abiotic (e.g., soil, hydrology) ecosystem components that can be attributed to the wild pig (Sus scrofa). Despite the presence of wild pigs throughout the southeastern United States for centuries, new invasions continue to occur in previously uninhabited and often under-investigated landscapes, including bottomland and upland forests. The recent invasion of the Sam D. Hamilton Noxubee National Wildlife Refuge (hereafter, NNWR) in east-central Mississippi represents an …

Supporting The “Virtuous Cycle” In Urban Ecosystems: How Research Can Inform Plans, Policies, And Projects That Impact Urban Resilience, Michele Romilini, Sophie S. Parker, Gregory B. Pauly, Eric M. Wood

Center for Urban Resilience Scholarship

No abstract provided.

Signings Of Graphs And Sign-Symmetric Signed Graphs, Ahmad Asiri

Theses and Dissertations

In this dissertation, we investigate various aspects of signed graphs, with a particular focus on signings and sign-symmetric signed graphs. We begin by examining the complete graph on six vertices with one edge deleted ($K_6$\textbackslash e) and explore the different ways of signing this graph up to switching isomorphism. We determine the frustration index (number) of these signings and investigate the existence of sign-symmetric signed graphs. We then extend our study to the $K_6$\textbackslash 2e graph and the McGee graph with exactly two negative edges. We investigate the distinct ways of signing these graphs up to switching isomorphism and demonstrate …

Green Infrastructure Intervention To Improve Waste And Water System In Urban Areas, Muthiah Hakim Hadini, Farah Bulqis Muzakar, Nurlina Yustiningrum, Nicole Hall, Peicong Li, Freya Ward, Ova Candra Dewi, Coriesta Dian Sulistiani, Andrew Flynn

Smart City

The increase in waste generation and water use in urban areas may lead to local flooding that is dangerous for health if it is not appropriately managed by waste and water systems in urban infrastructure. Sponge City is a concept that utilizes Green Infrastructures (GIs) to manage waste and water systems while still maintaining open and public spaces function. This study aims to review the waste and water infrastructure systems in Depok, Indonesia which are compared with Gainesville in the United States, America and Cardiff, United Kingdom, to give recommendations for preventing flooding in urban areas. Analysis is done by …

Examining The Effectiveness Of Using Point-Of-View Video Modeling On Mathematics Improvement In Students With Learning Disabilities In Saudi Arabia, Tirad Alsaluli

Electronic Theses and Dissertations

Video Modeling (VM) is one of the most widely used approaches by researchers to improve many skills, such as academic skills in students with Learning Disabilities (LD; Boon et al., 2020). As the incidence rate of individuals with LD in Saudi Arabia increase (Almedlij & Rubinstein-Ávila, 2018), the need for evidence-based math interventions focused on the math development of individuals with LD also increases. Although VM is recognized as an Evidence-based Practice (EBPs), a limited number of studies have implemented VM as an intervention to improve mathematic skills. Implementing VM as a math intervention strategy would explore its effects on …

Indirect Aggression And Victimization: Investigating Instrument Psychometrics, Gender Differences, And Its Relationship To Social Information Processing, Taylor Steeves

Electronic Theses and Dissertations

The study of indirect bullying behaviors, relational aggression and social aggression, has been of theoretical importance and interest to researchers and psychologists within the last few decades. In this investigation, using a convenience sample of 451 late adolescents attending a private university in the mid-Atlantic U.S., I examined the factor structure of two measures of indirect bullying, the Young Adult Social Behavior Scale – Victim (YASB-V) and the Young Adult Social Behavior Scale – Perpetrator (YASB-P). Using confirmatory factor analysis (CFA), I found that the YASB-V comprised a four-factor model, differing from the model that had been identified in the …

Exploring Set-Theoretic Practices Of Youth Engagement In Connective Journalism: What We Lose In School-Mathematical Descriptions, Alexandra R. Aguilar, Emma C. Gargroetzi, Lynne M. Zummo, Emma P. Bene

Journal of Humanistic Mathematics

Analyzing youth video submissions regarding COVID-19 to KQED’s ‘Let’s Talk About the Election’ website, we explore the mathematics these youth engaged in through their submissions without creating any explicit connection to school mathematical concepts or standards. Our focus is the students’ construction of sets (e.g. sets of nurses, doctors, American workers), as a means of creating connection with voters and other media authors through Marchi and Clark’s (2021) construct of connective journalism. We observe these youth constructing sets of varying sizes and reflecting on how these sets are contextualized within a larger political dialogue. We also attempt to rewrite part …

No Simple Formula: Navigating Tensions In Teaching Postsecondary Social Justice Mathematics, Alexa W. C. Lee-Hassan

Journal of Humanistic Mathematics

Instructors of Social Justice Mathematics (SJM) have shared important insights into the powerful potential of connecting classroom mathematics with authentic data about social justice topics, but they have also warned about the harm such teaching can cause when done poorly. In this article, I consider what is necessary to teach SJM at the postsecondary level. I share research that has supported me in learning to teach SJM and highlight challenges that are particular to doing this work in postsecondary contexts. I then describe my experiences navigating the central tensions of this work while honoring its complexity.

Responsible Data Science For Genocide Prevention, Victor Piercey

Journal of Humanistic Mathematics

The term "genocide" emerged out of an effort to describe mass atrocities committed in the first half of the 20th century. Despite a convention of the United Nations outlawing genocide as a matter of international law, the problem persists. Some organizations (including the United Nations) are developing indicator frameworks and “early-warning” systems that leverage data science to produce risk assessments of countries where conflict is present. These tools raise questions about responsible data use, specifically regarding the data sources and social biases built into algorithms through their training data. This essay seeks to engage mathematicians in discussing these concerns.

#Disruptjmm: Online Social Justice Advocacy And Community Building In Mathematics, Rachel Roca, Carrie Diaz Eaton, Drew Lewis, Joseph Hibdon, Stefanie Marshall

Journal of Humanistic Mathematics

In 2019, \#DisruptJMM, a Twitter hashtag, began circulating after an Inclusion/Exclusion blog by Dr. Piper H pointing to the need to make commonplace conversations about human suffering in the Joint Mathematics Meetings (JMM). While the \#DisruptJMM hashtag has been used since 2019, the vast majority of use was in the JMM 2020 meetings. Twitter hashtags are used by activists to push forward conversations, join communities around a single idea, and create change. In this article, we draw on frameworks from community building seen in other equity and inclusion advocacy hashtags such as \#GirlsLikeUs [7] to qualitatively code and analyze tweets …

Mathematics And Society: Towards Critical Mathematics Research And Education, Tian An Wong, Carrie Diaz Eaton, Rachel Roca, Nancy Rodriguez

Journal of Humanistic Mathematics

No abstract provided.

Anatoview: Using Interactive 3d Visualizations With Augmented Reality Support For Laypersons’ Medical Education In Informed Consent Processes, Michelle Chen

Dartmouth College Master’s Theses

AnatoView is an interactive multimedia educational application that visualizes medical procedures in three-dimensional (3D), augmented reality (AR) space. By providing visual and spatial information of medical procedures, AnatoView acts as a learning supplement for laypersons/patients in informed consent (IC) processes — wherein instructional content is traditionally limited to purely spoken explanations that lead to poor patient comprehension. We design a mixed study and conduct a randomized, controlled trial with 15 laypersons as participants: administering a traditional IC process to a control group, and an IC process supplemented by the use of AnatoView to experimental groups. As a primary outcome, medical …

Water Quality Land Cover Change And Water Quality In Wetlands At The City Of Gresham, Or, Evelyn Barajas, Michael Gonzalez

altREU Projects

The City of Gresham, Oregon has implemented constructed wetlands around the area as an attempt to collect, filter, and purify water from different sources such as rain, agricultural waste, and domestic waste. We focused our research on three different facilities: Columbia Slough Water Quality Facility (CSWQF), Fairview Creek Water Quality Facility, and Brookside Water Quality Facility. For each of these, we conducted tests and looked at the concentration levels for nitrogen and phosphorus nutrients such as NH3-N (ammonium), NO3-N (nitrate), TKN (total Kjeldahl nitrogen), O-PO4 (phosphate), and Total P (total phosphorus), as well as heavy metals like Total Cu (total …

Proceedings Of The 2023 Berry Summer Thesis Institute, University Of Dayton. University Honors Program

Proceedings of the Berry Summer Thesis Institute

Thanks to a gift from the Berry Family Foundation and the Berry family, the University Honors Program launched the Berry Summer Thesis Institute in 2012. The institute introduces students in the University Honors Program to intensive research, scholarship opportunities and professional development. Each student pursues a 12-week summer thesis research project under the guidance of a UD faculty mentor. This contains the product of the students' research.

Contents:

• “How Porous Materials Affect the Boundary-Layer Transition of Hypersonic Flight Vehicles” (Megan C. Sieve)
• “Ultra-Stretchable, Self-Healing, DLP 3D-Printed Elastomers for Damage-Resistant Soft Robots: A Review” (Robert M. A. Drexler)
• “Extrapolation of Scalar …

A Method For Generating A Non-Manual Feature Model For Sign Language Processing, Robert G. Smith Dr, Markus Hofmann Dr

Articles

While recent approaches to sign language processing have shifted to the domain of Machine Learning (ML), the treatment of Non-Manual Features (NMFs) remains an open question. The principal challenge facing this method is the comparatively small sign language corpora available for training machine learning models. This study produces a statistical model which may be used in future ML, rules-based, and hybrid-learning approaches for sign language processing tasks. In doing so, this research explores the emerging patterns of non-manual articulation concerning grammatical classes in Irish Sign Language (ISL). The experimental method applied here is a novel implementation of an association rules …

How Active Rainwater Harvesting May Help Reduce Nuisance Flooding: Flood Analysis And Social Barriers To Adoption, Isabel Lopez

Open Access Theses & Dissertations

As urbanization continues to expand, fewer pervious surfaces are available to help reduce stormwater runoff from rainfall. The impacts of urbanization are becoming evident through sunny day flooding - flooding that occurs in areas not designated by the Federal Emergency Management Agency (FEMA) as flood zones. Nevertheless, water accumulates in low-lying areas and compromises street intersections and other parts of neighborhoods. Some methods can help alleviate the impacts of unexpected heavy rains, such as passive and active rainwater harvesting. As a pilot study, in a selected area in the northeast of El Paso, the level of adoption (e.g., what percentage …

Comparative Study Of Supervised Classification Techniques With A Modified Knn Algorithm, Noah Owusu

Open Access Theses & Dissertations

The goal of classification is to develop a model that can be used to accurately assign new observations to labeled classes based on the patterns learned from the training data. K-nearest Neighbors algorithm (KNN) is a popular and widely used algorithm for classification, however, its performance can be adversely affected by the presence of outliers in a dataset. In this study we have modified this existing KNN algorithm that can alleviate the effect of outliers in a dataset, thereby improving the performance of the KNN algorithm. We compared the performances of the Modified KNN method and the Existing KNN algorithm …

People's Preferences And Perceptions Toward Low-Input Versus Conventional Park Design Approaches Using 3d Images And Interview-Based Questionnaires, Fatemeh Kazemi, Nazanin Hosseinpour, Mahsa Ebrahimian

Research outputs 2022 to 2026

Future urban planning and public satisfaction will be significantly impacted by understanding people's preferences and perceptions of urban landscape design scenarios, particularly innovative sustainable development approaches. This study examined residents' preferences in Mashhad, Iran, for low-input park design versus conventional park design techniques. The research method integrated questionnaire-based interviews with 3D-simulated images of a site designed with the two approaches. Ninety-three respondents answered validated questions regarding their preference towards the planting and architecture of the parks, their perceptions about social sustainability, psychological feelings, and their perceptions of low-input and maintenance of the spaces. T-test analyses showed that people preferred the …