Social and Behavioral Sciences Commons^™

Weather Risks, Crop Losses, And Risk Proneness: An Examination Of Evolving Risk Preferences Of Rice Farmers In Bangladesh, W. Parker Wheatley, Taznoore Khanam, Valerien O. Pede, Takashi Yamano

Economics Faculty Publications

Changing climate poses significant challenges for smallholder rice farmers. Weather-related deviations from longer-term patterns and crop losses due to abiotic hazards can affect farmer risk preferences and drive adaptive responses. In addition, farmers’ proneness to and past experiences with crop risks such as drought, submergence, and excess soil salinity can impact their baseline risk preferences and their response to changing risks. Using data for Bangladesh from two waves of the Rice Monitoring Survey, climate-related data (precipitation and temperature), farmer reports of crop losses, and measures of proneness to abiotic risks, this article estimates how weather deviations from longer-term trends, crop …

Ai And Academic Integrity, Max Sparkman Research Instruction Librarian, Milne Library, Brandon West Head Of Research & Instruction, Milne Library

Artificial Intelligence, 2024-25

This short module introduces students to important concepts regarding the use of AI and academic integrity. Concepts covered include a brief overview of generative AI, whether or not their use is considered plagiarism, how to use generative AI tools responsibly, and potential use cases. The module ends with a quiz where students can apply concepts from the module to three scenarios.

Psychology And The Digital Everywhere: Artificial Intelligence, Cassie Van Stolk Assistant Professor Of Psychology, Department Of Psychology

Artificial Intelligence, 2024-25

This module within the PSYC 390: Psychology and the Digital Everywhere course investigates the the implications of AI on human experiences using a biopsychosocial lens. Topics covered include an exploration of AI as a tool versus as an autonomous mind, ethical considerations of AI usage, and the promises and pitfalls of AI as a tool within the field of psychology. This module aligns with the "Contemporary Global Challenges, Creativity and Innovation" Participation in a Global Society outcome within the Geneseo GLOBE Curriculum.

Exploration Of Positive Deviance In Prevention Of Underweight In The Under-Five: A Qualitative Study On Low-Income Urban Families, Irwan Budiono, Lukman Fauzi, Dewi Sari Rochmayani

Kesmas

Children under the age of five (the under-five) from low-income families are more vulnerable to experience underweight. This nutritional vulnerability is evident in the preliminary study, where 35.1% of the under-five experience underweight, and 28.48% are low-income families. This study aimed to explore Positive Deviance (PD) behaviors in preventing underweight among the under-five. The study applied a qualitative approach with a case study design. Data collection took place in July-August 2022, focusing on low-income families in the Gunung Brintik area. Data were collected through two focus group discussions, seven in-depth interviews, and five key informant interviews. Coding, subtheme, and theme …

Risk Factors For Cognitive Impairment In Adult Population Of Coastal Area: A Cross-Sectional Study In Maringkik Island, Indonesia, Herpan Syafii Harahap, Arina Windri Rivarti, Nurhidayati Nurhidayati, Fitriannisa Faradina Zubaidi, Dini Suryani, Legis Ocktaviana Saputri, Yanna Indrayana, Athalita Andhera, Muhammad Hilam, Abiyyu Didar Haq

Kesmas

Cognitive impairment is a medical condition commonly found in elderly populations, which can be due to vascular risk factors in patients. There remains limited data on risk factors for cognitive impairment among coastal region populations. This study aimed to investigate risk factors for cognitive impairment in the adult population of Maringkik Island, West Nusa Tenggara Province, Indonesia. Data collected were age, sex, education level, hypertension, antihypertensive treatment, diabetes mellitus, cigarette smoking, and body mass index status. A total of 114 participants were recruited using a consecutive sampling method. The participants’ cognitive function assessment used the Mini-Cog instrument. The cognitive impairment …

Research And Practice Of Digital Institute And Its System Framework, Jianjun Yu, Yue Wang, Kongmin Wang, Zhuomin Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of the digital economy, digital scientific research and digital government are both crucial components, serving as application scenarios enabled by new information technologies. Currently, the new generation of information technologies, especially artificial intelligence and big data, is instrumental in modernizing governance at scientific research institutions within Chinese Academy of Sciences (CAS). They notably drive paradigm shifts in scientific activities and accelerate the digital transformation of these institutions. The digital system formed by the digital transformation of management processes in scientific activities at research institutes is defined as the digital institute. This study analyzes the impact of digital …

Natural Resource Factors Promoting Urban And Rural Integrated Development In The New Era: Target Selection And Policy Design, Zhimin Zhang, Guohua Yuan, Ruilin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Reconstructing the reverse flood of natural resource elements in rural and urban regional systems is the basic form of requirement for realizing urban-rural integration. Taking target selection-realistic obstacles-institutional demand-system construction as the logical main line, starting from the current situation of natural resource element allocation under the framework of urban-rural integrated development, it sorted out the problems existing in the urban-rural integrated development of natural resources such as asymmetrical property rights design, inconsistent bearing plans of various types, lack of natural resource revenue sharing mechanism, and poor asset flow channels and trading systems, with unified layout, power return, paid use, …

Developing Green Design, Leading Green And Low-Carbon Society, Yongxiang Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Green design refers to a design principle and method that comprehensively considers energy and resource conservation, emission reduction, and environmental impact during the product manufacturing and operation process in the product design stage. It strives to reduce greenhouse gas emissions throughout the entire product lifecycle. In the era of information networks, green design is supported by big data, AI network collaborative design, network detection and monitoring, etc. It involves selecting energy-saving processes, green and low-carbon materials, and optimizing product geometry design and surface treatment to achieve efficient resource utilization and minimize waste. For example, selecting environmentally friendly materials through networked …

Challenges And Recommendations For Building Open Source Innovation Ecosystem For Large-Models In China, Xin Wen, Chao Zhang, Rui Guo, Kaihua Chen, Ze Feng, Qigang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Addressing the current technological development issues that constrain the development of China’s large-scale model industry is needed to promote the continuous prosperity and development of the industry and enhance its international competitiveness. The study analyzes the significance of the open-source innovation ecosystem for the development of large-scale models in China. Based on reviewing the international experience of constructing the open-source innovation ecosystem, it further dissects the problems and challenges faced by the construction of the open-source innovation ecosystem for large-scale models in China and puts forward targeted suggestions. The study finds that the open-source innovation ecosystem for large-scale models in …

Research And Implications Of The Us Clean Energy Strategy, Lanchun Li, Qing Liu, Wei Chen, Yun Tang, Jun Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the world enters a new period of carbon neutrality, the US government is actively building a clean energy innovation ecosystem through both internal and external measures. Systematically tracking and in-depth analysis of the intent, structure, approach, and other characteristics of the new phase of the US clean energy strategy is of practical significance to Chinese energy revolution. The US focuses on the strategic objectives of science and technology innovation, energy security, and infrastructure, and has constructed an innovation ecology characterized by technology lists, planning blueprints, full-chain research, and innovative subjects from the perspective of whole-government coordination, cross-institutional decision-making, deep …

Effective Carbon Cost Constraints: Unity Of Environmental Effectiveness, Cost Effectiveness, And Incentive Effectiveness, Yongping Sun, Jingning Jiang, Xinyu Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The carbon market serves as a crucial policy tool in the pursuit of carbon peaking and carbon neutrality goals. It holds significant importance in driving the innovation of green and low-carbon technologies in China, facilitating the realization of nationally determined contributions, and bolstering China’s global leadership in climate action. The core function of the carbon market is carbon pricing, which can only be effective and achieve various objectives like carbon emissions reduction and sustainable development when carbon costs are reasonably constrained. Environmental effectiveness, cost effectiveness, and incentive effectiveness are three important dimensions to evaluate the effectiveness of the carbon market, …

Technology Governance And Governance Technology: From Perspective Of Regulatory Research On Blockchain Digital Assets, Yikai Wu, Guoan Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Outline of the 14th Five-Year Plan takes blockchain as one of the key industries of the digital economy, and a number of ministries and commissions have also made clear deployments to accelerate the innovative application of blockchain, promote the digital transformation of the industry, and promote the high-quality development of the economy and society in the policy documents related to the informatization of the industry. The regulation and governance of blockchain digital assets cannot be separated from the understanding and analysis of blockchain technology itself, and observing the development mechanism of blockchain digital assets from the scientific and technological …

Large-Scale Experimental Platform For Dynamic Simulation Of Mountain Hazards (Leads), Gongdan Zhou, Peng Cui, Hongwei Wu, Yong You, Wei Zhong, Dongri Song, Chuiyi Zhou, Hongwei Shen, Mingsheng Shang, Xuerui Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Mountain hazards involve complex multiphase media composed of granular materials and fluids. The challenges related to scale effects and similarity issues in physical modelling of these hazards are key problems in both fundamental research on dynamics of granular materials and applied research in disaster prevention and mitigation. Supported by the Chinese Academy of Sciences’ key scientific infrastructure construction project at the field station network, the National Dongchuan Debris Flow Observation and Research Station in Jiangjia Gully, Dongchuan District, Kunming City completed the construction of the large-scale experimental platform on dynamic simulation of mountain hazards (LEADS) in 2024. This platform is …

International Development Strategy And Analysis Of Science And Technology Trends In Carbon Capture, Utilization, And Storage (Ccus), Aning Qin, Yuling Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the context of carbon neutrality, carbon capture, utilization, and storage (CCUS) technology has emerged as a critical focus for policymakers worldwide. Recognized as a critical tool for combating climate change and achieving carbon neutrality, CCUS has gained widespread endorsement from major nations and international organizations. Through methods such as bibliometrics, text clustering, and comprehensive research involving foreign official institutions and authoritative websites, this study delves into the technology strategy and development trends of CCUS. It is found that various countries，including the United States, Europe, and Japan, have sequentially rolled out CCUS strategies, elevating CCUS to a pivotal national strategic …

Groundwater Modeling Of The Ogallala Aquifer: Use Of Machine Learning For Model Parameterization And Sustainability Assessment, Tewodros Aboret Tilahun

Dissertations and Doctoral Documents from University of Nebraska-Lincoln, 2023–

Addressing groundwater depletion problems in heterogeneous aquifer systems is a challenge. The heterogeneous Ogallala Aquifer, a critical source of groundwater in the central United States, has undergone decades of decline in water levels due to pumping. This project aims to build a robust groundwater model to evaluate optimal scenarios for sustainable use of the groundwater resource within a section of the Ogallala aquifer located in the Middle Republican Natural Resources District (MRNRD). This study follows a comprehensive approach involving parameterization, construction, and optimization. The model is parametrized using hydraulic conductivity and recharge values obtained from a random forest-based machine learning …

The Feasibility Of Utilizing The Open Dynamic Interaction Network (Odin) App To Assess Rema Data Across 30 Days Among Those Recovering From Alcoholism, Dennis E. Mcchargue, Bilal Khan, Jesscia Phelps, Patrick Duryea, Kimberly A. Tyler, Arthur Andrews, Ellie Reznicek, Lucy Napper, Mohamed Saad, Hsuan-Wee Lee

Department of Psychology: Faculty Publications

About ~4 million people with an alcohol use disorder receive treatment annually, and frequent relapse has produced a rapid revolving door between recovery and use. This paper presents preliminary data from a prospective micro-longitudinal study (30 days) that examines co-evolution of relapse risk processes of people with alcohol use disorders who entered a short-term residential substance use treatment. The primary goal of the current data was to assess the feasibility of using the open dynamic interaction network (ODIN) responsive ecological momentary assessment (rEMA). rEMA collected daily estimates on affect, urges, sober-support engagement, and use. The ODIN app administered twelve questions …

Public Mass Shootings In Texas And California: Routine Activity Theory Comparisons, Mason R. Feinartz

Doctoral Dissertations and Projects

Public mass shootings are a distinct and unique phenomenon that receives vast media and public attention due to the location, weapons used, and amount of people killed or injured. These mass shootings occur in places where people frequent daily in their routine activities and are unexpected, seemingly random, or symbolic events. This study used a casual-comparative quantitative research design using routine activity theory as the foundation to investigate public mass shootings in Texas and California from 1966 to 2023. This study used public open-source data collection and analysis to identify and substantiate all mass shootings that satisfy the research inclusion/exclusion …

Questioning Reality: The Progressive Development Of Modern Physics, Joshua Lancman

STEM Month

Humanity has a tendency to divide time. The past is distinct from the present which is entirely separate from the future. In supposedly 20-20 vision history is neatly divided into different sections, distinct eras with sharp lines between them. What is present and in the future is always modern. What is past is something else with another name.

Yet time is not divided so neatly. We know this living through it: years and decades blend into one another in a non-uniform progression. To divide human history into separate eras is a necessary simplification, as it helps to ascribe order onto …

Coffee In Brasil: Sustainability And The Role Of Intermediaries, Livia Petzinger

Capstone Collection

ABSTRACT

Coffee is traded in a highly complex global value chain where countless sustainability initiatives have emerged to address social, economic, and environmental issues, challenges which persist due to dominance of the market structure by largescale traders and roasters. Specialty coffee and direct trade have emerged as alternative trade arrangements that promote high-quality coffee through the use of sustainable practices, transparency, and a shortened supply chain. This research analyzes the role that intermediaries in the Brazilian specialty coffee supply chain play in the implementation of sustainability initiatives asking what kinds of sustainability practices they implement and why, and how this …

Solar Photovoltaics As Climate Change Adaptations For Farmers In West Bengal, India: Barriers Within A Food-Water-Energy Nexus Approach, Emily Rochford

Capstone Collection

This capstone research project seeks to identify and address barriers to the use of solar photovoltaics (PV) as an adaptation method to climate change for farmers in West Bengal, India. These barriers are examined within the context of the food-water-energy nexus, particularly concerning the ability of many small holder farmers to produce their own food and sustain their livelihoods. Previous studies have examined both energy access and renewable energy development in West Bengal, and also the food-water-energy nexus in its application to climate change. However, there is minimal literature on how renewable energy development should be applied within the nexus …

Archaeology In Space: The Sampling Quadrangle Assemblages Research Experiment (Square) On The International Space Station. Report 1: Squares 03 And 05, Justin St. P. Walsh, Shawn Graham, Alice C. Gorman, Chantal Brousseau, Salma Abdullah

Art Faculty Articles and Research

Between January and March 2022, crew aboard the International Space Station (ISS) performed the first archaeological fieldwork in space, the Sampling Quadrangle Assemblages Research Experiment (SQuARE). The experiment aimed to: (1) develop a new understanding of how humans adapt to life in an environmental context for which we are not evolutionarily adapted, using evidence from the observation of material culture; (2) identify disjunctions between planned and actual usage of facilities on a space station; (3) develop and test techniques that enable archaeological research at a distance; and (4) demonstrate the relevance of social science methods and perspectives for improving life …

A ‘Nuclear Bomb’ Or Just ‘A Joke’? Groundwater Models May Help Communicate Nuanced Risks To The Great Salt Lake, Matthew D. Laplante, Piyush Dahal, Shih-Yu Simon Wang, Kirsti Hakala, Avik Mukherjee

Plants, Soils, and Climate Faculty Publications

The Great Salt Lake entered the zeitgeist of environmental concern in 2022 when a coalition of scientists and activists warned in a highly publicized report that the lake might be just five years away from complete desiccation, a possibility one state official warned was tantamount to an “environmental nuclear bomb”. Shortly thereafter, an unpredicted and unprecedented pluvial winter resulted in an increase in inflow, temporarily halting the lake’s decline and prompting Utah’s governor to mock the dire prediction as “a joke”, an outcome that speaks to the tension between agenda-setting and trust-building that researchers face when sharing worst-case warnings, particularly …

08-05--2024 Orsp Newsletter, Liz Williamson

ORSP Newsletter

Dr. John C. Higginbotham, Federal Demonstration Partnership (FDP), COPE (Clinic for Outreach and Personal Enrichment)

We Train Ai, Why Not Humans, Too? An Exploration Of Human-Ai Team Training For Future Workplace Viability, Caitlin M. Lancaster

All Dissertations

The integration of Artificial Intelligence (AI) in the workforce is transforming team dynamics, leading to the emergence of Human-AI Teams (HATs). These teams offer opportunities to capitalize on human strengths with AI's prowess, offering significant opportunities for innovation and efficiency. Effective HAT functioning requires aligning human expectations with AI capabilities and bridging knowledge gaps between teammates. Despite this potential, key integration challenges remain, such as developing shared mental models, addressing skill limitations, and overcoming negative AI perceptions. Existing training efforts often apply human-human teaming principles directly to HATs, overlooking AI's role as a teammate and limiting the development of HAT-specific …

Sensitivity Of Present And Future Seasonal Precipitation Over Central United States To The Representation Of Rocky Mountain Topography, Ranasinghe Disanayakalage Sherly Shelton Ranathunga

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Precipitation change across the Central United States (USA) is of great interest to the research community. Studies using global climate simulations suggest that the “100^th-Meridian”, which separates the “dry west” from the “moist east” will shift to the east as the climate responds to future emissions pathways. However, these simulations are run at relatively coarse resolutions, which do not accurately represent topography. Here, we perform regional simulations using the Weather Research and Forecasting (WRF) model to explore the sensitivity of present and future precipitation patterns across the central USA to the representation of the Rocky Mountains (RM). We …

Applying Circuit Theory To Describe Changes In Structural Landscape Connectivity In Response To Wildfire, Christian Ross Nielsen

School of Natural Resources: Dissertations, Theses, and Student Research

Understanding and conserving ecological connectivity is critical to the preservation of vulnerable landscapes. Circuit theory, in which landscapes are imagined as circuit boards with varying resistances to the flow of current, is being increasingly used to model spatially explicit connectivity of landscapes and to inform land management and conservation decision-making. Utilizing continuous, quantitative estimates of percent cover by five land cover functional groups to create a conductance surface, this study expanded upon an established application of circuit theory that used the open-source software Circuitscape to model species-agnostic, omnidirectional connectivity. This model was automated using Python to create time-series connectivity maps …

Assessing, Restoring, And Centering Social-Ecological Relationships For Advancing Social-Ecological Resilience In The Northern Great Plains Grasslands, Katia Pilar Carranza Bernal

School of Natural Resources: Dissertations, Theses, and Student Research

The Northern Great Plains grasslands are social-ecological systems that were shaped by evolutionary and Indigenous social-ecological relationships. European colonization disrupted many of these interactions, including the coupling of fire and grazing, and degraded social-ecological resilience, shifting these grasslands to a new state. For those reasons, my research focused on assessing, restoring, and centering evolutionary and Indigenous social-ecological relationships for advancing social-ecological resilience in the Northern Great Plains grasslands. I first performed a study in the Nebraska Sandhillls assessing the potential of patch-burn grazing to support grassland resilience by comparing its effects to those of rotational grazing. Through vegetation and bird …

Analysis Of Drought-Flood Abrupt Alternation Events And Their Impacts In Kenya, Betty Makena

School of Natural Resources: Dissertations, Theses, and Student Research

Drought-Flood Abrupt Alternation (DFAA) is a compound disaster event that refers to the abrupt shift of extreme drought events to extreme floods resulting in exacerbated impacts on already vulnerable communities and hindering their coping abilities. This study aimed to analyze drought-flood abrupt alternation events and their impacts in Kenya. The first chapter aimed to understand historical drought events in the Greater Horn of Africa and their impacts, while drawing comparisons with the recent 2020-2022 drought period, referred to as the ‘triple dip La Niña’. Datasets used in this study include the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Normalized …

High Fat Diet & Social Isolation: Interactive Effects On Pain, Cognition, & Neuroinflammation, Ian M. Campuzano

Research Psychology Theses

Prior research has established a role for both social isolation and exposure to high fat Western diets in altering a range of behaviors from reduced memory performance to increased depression-like behaviors. The present study scrutinizes the interplay among these variables during the peri-adolescent developmental phase, utilizing Long-Evans rats as the experimental model. Our overarching hypothesis is that rats exposed to either social isolation, a high-fat diet, or both will result in heightened pain sensitivity, diminished cognitive flexibility, and increased neuroinflammatory responses within brain regions implicated in sociability, cognition, memory, and pain processing. Behavioral flexibility will be assessed using a maze-based …

Assessing Gtfs Accuracy, Gregory L. Newmark

Mineta Transportation Institute

The promised benefits of the General Transit Feed Specification (GTFS) Schedule and Realtime standards are dependent on the underlying quality of the data. Despite this fundamental reliance, there has been relatively little research on techniques and strategies to assess GTFS accuracy. The need for such assessment is growing as federal and state governments increasingly require transit agencies to make these data available to the public. This research fills this gap by presenting a suite of methods and metrics to assess the temporal accuracy of GTFS Realtime and the spatial accuracy of GTFS Schedule feeds. The temporal assessment demonstrates an approach …