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Articles 31 - 60 of 60952
Full-Text Articles in Entire DC Network
Benefit-Cost Analysis: A Practitioner’S Guide, Hue Vuong, Amir Abadi Ghadim, Paul Mattingley, Ross Kingwell, Vilaphonh Xayavong, Tafesse Estifanos, Dipesh Maharjan, Nicholas Thorsager, Christophe D'Abbadie, Johnny Machon, Sud Kharel
Benefit-Cost Analysis: A Practitioner’S Guide, Hue Vuong, Amir Abadi Ghadim, Paul Mattingley, Ross Kingwell, Vilaphonh Xayavong, Tafesse Estifanos, Dipesh Maharjan, Nicholas Thorsager, Christophe D'Abbadie, Johnny Machon, Sud Kharel
Farm Systems and Economics published reports
This guide provides government agency staff with a comprehensive, practical and nationally aligned framework for conducting Benefit-Cost Analysis (BCA) of public investments. BCA is a systematic approach to comparing the full range of expected costs and benefits of a proposed investment, expressed in monetary terms where possible. It helps determine whether an investment is likely to deliver net benefits to society and whether public resources are being directed towards initiatives that generate the greatest overall value. BCA is one of the primary and most widely recommended economic appraisal approaches used across Australian governments when assessing major public investments.
Service Robots With Low Anthropomorphism In Restaurants: Consumer Reactions And Implications, Ferhat Eren, Volkan Genc
Service Robots With Low Anthropomorphism In Restaurants: Consumer Reactions And Implications, Ferhat Eren, Volkan Genc
Journal of Global Hospitality and Tourism
This study investigates consumer responses to low-anthropomorphic service robots in restaurant front of-house roles using the AIDUA (Artificially Intelligent Device Use Acceptance). Data from 1,268 participants were analysed using PLS-SEM. The results revealed that social impact and anthropomorphism significantly influenced both performance and effort expectancy, while hedonic motivation influenced only performance expectancy. Performance expectancy strongly influenced emotions, which in turn significantly influenced both the willingness to use service robots and objections to their use. However, effort expectancy did not significantly influence emotions. The findings validate the AIDUA model in this context and offer practical insights for robot design and implementation.
Mapping St. Louis History: Slavery, Redlining, And The May 16th Tornado, Safa M. Altamimi, Aster Horbanova, Riley J. Bearden, Vivian B. Rhodes, Bridget Ragan
Mapping St. Louis History: Slavery, Redlining, And The May 16th Tornado, Safa M. Altamimi, Aster Horbanova, Riley J. Bearden, Vivian B. Rhodes, Bridget Ragan
Undergraduate Research Symposium
For this project, our group members are traveling across St.Louis to areas that are affected by the May 16th tornado. We will be taking pictures and using ArcGIS survey123 to input data connecting the tornado to historical forces such as Redlining and Slavery. Using this data, we will be creating an ArcGIS StoryMap and presenting our findings.
Love And Artificial Intelligence: A Research Proposal, Bryanna M. Deatherage, Necdet Gurkan, Sandra J.E. Langeslag
Love And Artificial Intelligence: A Research Proposal, Bryanna M. Deatherage, Necdet Gurkan, Sandra J.E. Langeslag
Undergraduate Research Symposium
What happens when people fall in love with Artificial Intelligence (AI)? This study seeks to examine individuals who are in love with AI companions to gain a deeper insight in the cognitive and affective consequences. In addition, this study will examine the most effective forms of intervention regarding growing or reducing feelings of love toward AI. The first part of this study will be a questionnaire about the social and emotional impact of being in love with an AI companion. Three hundred participants will be recruited through online communities related to AI companions. The second part of this study will …
Auctioning The Right To Trust And Reciprocate: Scarcity, Market Allocation, And Selection In The Trust Game, Jason Shachat, J. Todd Swarthout, Yun Wang
Auctioning The Right To Trust And Reciprocate: Scarcity, Market Allocation, And Selection In The Trust Game, Jason Shachat, J. Todd Swarthout, Yun Wang
ESI Working Papers
We examine how competitive allocation of scarce participation rights shapes behavior in a Berg-style trust game. Trustor and trustee roles are allocated through multi-unit uniform-price English auctions with varying scarcity, alongside a matched-fee random-assignment control treatment. Positive transfers and returns persist, but behavior lies near the low-trust, low-reciprocity end of comparable benchmarks. Tighter scarcity accelerates the decline in trustor transfers, while trustee returns show no monotonic pattern. Scarcity strongly raises auction prices without comparably raising participants’ gross trust-game earnings, thereby lowering net earnings. Exit bids adjust to past game profitability, indicating adaptive learning about the value of participation.
Dynamic Forecasting Of Sovereign Wealth Fund Effects On State-Owned Firm Stocks Using Hybrid Arima–Garch Models, Ananta Hagabean Nasution, Teguh Yudo Wicaksono, Donny Oktavian Syah, Randhy Nugroho
Dynamic Forecasting Of Sovereign Wealth Fund Effects On State-Owned Firm Stocks Using Hybrid Arima–Garch Models, Ananta Hagabean Nasution, Teguh Yudo Wicaksono, Donny Oktavian Syah, Randhy Nugroho
BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi
This study examines the forecasting dynamics of Indonesia's Sovereign Wealth Fund, DANANTARA, on the BUMN-20 Index using a hybrid ARIMA-GARCH model. The establishment of DANANTARA in February 2025 generated mixed reactions among capital market participants, with the Indonesian Stock Exchange suspended trading after share prices declined by more than five percent. Using daily time-series data from June 2018 to August 2026, this study employs a hybrid ARIMA(1,1,3)-GARCH(1,1) framework processed through E-Views 12. The results indicate that the BUMN-20 Index is predominantly driven by broader market movements, as evidenced by the highly significant IHSG return coefficient (β =1.237, p < 0.001). In the mean equation, the DANANTARA announcement and launch events do not produce statistically significant shifts in average returns. However, in the variance equation, the announcement significantly elevated conditional volatility (γ = 0.025, p = 0.009), suggesting heightened market uncertainty. The volatility persistence measure (α + β = 0.952) indicates that shocks to the BUMN-20 Index decay slowly, with a half-life of approximately 14 trading days. The forecasting results suggest a gradually declining trajectory for the index, though this does not imply a causal relationship with DANANTARA. These findings contribute to the literature by demonstrating that the primary channel through which a nascent SWF affects domestic equity markets is volatility rather than returns. The policy implications highlight the importance of for transparent governance and consistent communication in mitigating market uncertainty surrounding DANANTARA's operations.
Gambaran Generasi Z Yang Kesepian Dalam Penggunaan Chat Ai Sebagai Pemenuhan Kebutuhan “Someone To Talk”, Ikhwanul Ihsan Armalid, Febty Zahra Arsiwi, Qisthi Fathiyyah, Ratri Mayzakky Afra Syahida
Gambaran Generasi Z Yang Kesepian Dalam Penggunaan Chat Ai Sebagai Pemenuhan Kebutuhan “Someone To Talk”, Ikhwanul Ihsan Armalid, Febty Zahra Arsiwi, Qisthi Fathiyyah, Ratri Mayzakky Afra Syahida
Jurnal Psikologi Sosial
This study aims to understand the experiences of Generation Z individuals who experience loneliness in utilizing Chat AI to fulfill their need for someone to talk to within a socio-emotional context. The study employed a qualitative approach using a phenomenological method involving six Generation Z participants aged 18 to 25 who had used Chat AI for emotional sharing or venting. Data were collected through semi-structured interviews and analyzed using thematic analysis. The thematic analysis yielded six main themes: the dynamics of Generation Z social interactions, experiences of loneliness in social life, patterns of Chat AI usage, Chat AI as a …
Mathematical Modelling For Optimizing Predator–Prey Networks In A Resilient Wildlife Ecosystem: A Systematic Literature Review, Thadei Damas Sagamiko
Mathematical Modelling For Optimizing Predator–Prey Networks In A Resilient Wildlife Ecosystem: A Systematic Literature Review, Thadei Damas Sagamiko
Tanzania Journal of Science
The resilience of wildlife networks hinges on the adaptability and stability of complex predator-prey interactions. Mathematical modelling offers a crucial approach for examining and optimizing these dynamics under biological invasions and environmental pressures. This systematic literature review (SLR) employs a bibliometric analysis approach to synthesize global research on mathematical models applied to predator-prey network optimization, with an emphasis on their ecological implications, computational approaches, and modelling strategies. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 50 peer- reviewed studies (2000–2025) were analyzed using the Scopus and Google Scholar databases. The study identifies classical models, such as the …
Perspectives Of Trauma Among Licensed Trauma Therapists: A Concept Mapping Study, Sean W. Bullock
Perspectives Of Trauma Among Licensed Trauma Therapists: A Concept Mapping Study, Sean W. Bullock
Master's Theses
To address gaps between research and psychotherapeutic intervention for trauma and trauma-related issues, the current study elicited and analyzed the perspectives of licensed trauma therapists via a concept mapping process. A literature review was conducted to explore the history and limitations of trauma’s current medical use as outlined by Criterion A of posttraumatic stress disorder in the DSM-5-TR. To answer the research question regarding how practitioners understand trauma, the researcher recruited licensed trauma therapists (n = 17) to participate in concept mapping. Participants generated 126 unique statements, which they then sorted based on similarity and rated individually on importance. Hierarchical …
Age Differences In Perceived Individual And Community Recovery After Tornadoes: Implications For Community-Centered Recovery Policy In An Aging Society, Sizhuo Chen, Zhen Cong
Age Differences In Perceived Individual And Community Recovery After Tornadoes: Implications For Community-Centered Recovery Policy In An Aging Society, Sizhuo Chen, Zhen Cong
Health Sciences and Kinesiology Faculty Articles
"This study examines perceived individual recovery and perceived community recovery among tornado survivors across three waves spanning four years. Using three-wave longitudinal survey data from survivors in Dallas, Texas; Nashville, Tennessee; and Birmingham, Alabama collected in 2021, 2022, and 2025, we estimate recovery trajectories using linear mixed-effects growth models. We link respondents to tract-level SVI 2020 component measures to examine whether tract-level social vulnerability contextualizes age differences in recovery perceptions. We ask: (1) How do perceived individual recovery and perceived community recovery change over time? (2) Do these trajectories differ by age group? (3) Do community social vulnerability measures contextualize …
Beyond The Headset: Building An Emerging Technology Program In An Academic Library, Beryl White-Bing
Beyond The Headset: Building An Emerging Technology Program In An Academic Library, Beryl White-Bing
Library Faculty Presentations & Publications
This presentation included information on virtual reality, augmented reality, podcasting, and artificial intelligence in academic libraries. It addressed collaborative partnerships that make emerging-technology programs sustainable, integrating virtual reality and other technologies into library instruction, creating experiential-learning opportunities across disciplines and assessment.
Enhancing Visitor Experiences Through Storytelling In Interpretive Tour Guiding, Naoko Yamada
Enhancing Visitor Experiences Through Storytelling In Interpretive Tour Guiding, Naoko Yamada
International Journal of Tour Guiding and Visitor Attraction Research
Heritage interpretation enables visitors to make sense of their experiences by communicating meaningful messages at natural and cultural heritage sites. By fostering understanding, appreciation, and personal relevance, interpretation enriches visitor experiences and encourages responsible attitudes and behaviors. Among various interpretive approaches, storytelling has emerged as a particularly promising means of achieving these outcomes. However, research examining how storytelling enriches heritage interpretation and promotes deeper visitor engagement remains limited. This conceptual paper synthesizes literature from storytelling, psychology, marketing, tourism, and heritage interpretation to develop a framework explaining how storytelling influences interpretive outcomes. The framework proposes that story elements activate psychological mechanisms, …
Oco-3 Meets Ecostress: Insights Into Ecosystem Diurnal Water-Use Efficiency From Co-Located Solar-Induced Fluorescence And Thermal Observations, Zoe Amie Pierrat, Thomas P. Kurosu, Abhishek Chatterjee, Joshua B. Fisher, Maggie Johnson, Le Kuai, Kanishka Mallick, Nicholas Parazoo, Benjamin Wiebe, Kerry Cawse-Nicholson
Oco-3 Meets Ecostress: Insights Into Ecosystem Diurnal Water-Use Efficiency From Co-Located Solar-Induced Fluorescence And Thermal Observations, Zoe Amie Pierrat, Thomas P. Kurosu, Abhishek Chatterjee, Joshua B. Fisher, Maggie Johnson, Le Kuai, Kanishka Mallick, Nicholas Parazoo, Benjamin Wiebe, Kerry Cawse-Nicholson
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Terrestrial ecosystem regulation of carbon and water fluxes is critical for constraining climate–biosphere feedbacks but remains poorly quantified across space and time. Here, we evaluate whether co-located observations from NASA's Orbiting Carbon Observatory-3 (OCO-3) and the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) can reproduce ecosystem water use efficiency (WUE) dynamics observed at FLUXNET sites across temporal scales, vegetation types, climates, and drought conditions. We created the ECOCO3 data set, which harmonizes OCO-3 and ECOSTRESS observations in space and time. ECOCO3 captures broad seasonal and diurnal carbon and water flux patterns including midday drought responses. Sampling sensitivity analysis …
Chacahoula 2026, Volume 93, Pawan Khatri, Alayna Pellegrin
Chacahoula 2026, Volume 93, Pawan Khatri, Alayna Pellegrin
Chacahoula
The 2026 issue of Chacahoula, There's No Place Like Home, emphasizes the way in which our university becomes a home to students. Featuring prize-winning poetry from Allyson Gee, Nick Fredrick, Amaris Kendall and Anmol Subedi, the book includes December 2025 and May 2026 graduating classes, as well as stunning photography of campus life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe. This edition includes a video message from President Carrie Castille. Download the PDF to your device …
Green Finance’S Role In Bank Risk: Empirical Evidence From The Emerging Economy, Viverita Viverita, Dwi Nastiti Danarsari, Ratih Dyah Kusumastuti, Ruhaini Muda
Green Finance’S Role In Bank Risk: Empirical Evidence From The Emerging Economy, Viverita Viverita, Dwi Nastiti Danarsari, Ratih Dyah Kusumastuti, Ruhaini Muda
Journal of Environmental Science and Sustainable Development
Indonesia’s Financial Services Authority (OJK)’s sustainable finance roadmap, phases I and II, primarily aims to facilitate sustainable development by integrating economic, social, and environmental considerations into financial policies. A special objective is to promote the development of green financial products and services. This policy allows banks to mitigate reputational and regulatory challenges. Nevertheless, the prompt implementation of green credit may entail transition risks, such as policy adjustment costs. A limited body of research examines the direct relationship between green finance and bank risk, particularly in the context of sustainability mandates. This study analyzes the influence of green finance on banking …
Reducing Drag Of Vehicles With Half-Stepped Cylinder Surfaces Part I: Numerical Optimization, Ryan Moffit, Hamid Rahai, Komal Gada
Reducing Drag Of Vehicles With Half-Stepped Cylinder Surfaces Part I: Numerical Optimization, Ryan Moffit, Hamid Rahai, Komal Gada
Mineta Transportation Institute
Aerodynamic drag is a major source of energy loss for vehicles, increasing fuel consumption, reducing the driving range of electric vehicles, and contributing to greenhouse gas emissions. For a vehicle, the major components of its drag are pressure and viscous drag. Engineers have developed a variety of strategies to reduce drag, including streamlined vehicle designs, surface modifications, and devices that alter airflow around the vehicle. This research focuses on reducing the viscous drag. Specifically, this study investigates whether microscopic surface features called half-stepped cylinder arrays can reduce skin friction by altering the turbulent boundary layer and promoting smoother airflow near …
Transforming Military Spectrum Management With Spectrack, Rachel Mccoy, Rafa Gould, Abby Fornadel
Transforming Military Spectrum Management With Spectrack, Rachel Mccoy, Rafa Gould, Abby Fornadel
James Madison Undergraduate Research Journal (JMURJ)
The U.S. military faces operational and financial challenges due to inefficient electromagnetic spectrum
management. This poster and accompanying research statement introduce our minimum viable product, SpecTrack, which we created in response to a challenge presented by the U.S. Department of Defense's Joint Spectrum Agency. SpecTrack centralizes and visualizes spectrum requests to offer insights, streamline communication, and reduce costs. It integrates with current tools like Spectrum XXI and HUNSWDO while enhancing usability through a visual Common Operating Picture (COP). Our user-centered design process included stakeholder interviews and site visits to Germany. The result: a scalable platform that modernizes and simplifies military …
Fear, Threat, And Google Searches: Examining Ideological Shifts Using Big Data, Erin M. Cerasaro
Fear, Threat, And Google Searches: Examining Ideological Shifts Using Big Data, Erin M. Cerasaro
Master's Theses
In their review of research on factors that affect political conservatism, Jost et al. brought together research from several theoretical viewpoints. This produced a model of psychological needs and motives in individuals which react with stimuli that make them feel fearful and threatened (F/T), increasing adherence to conservative ideology. While some research supports these claims, evidence shows that in some contexts these variables increase ideological polarization overall, but may also have a greater impact on conservative attitudes specifically. Researchers have had difficulty in investigating these relationships in naturalistic settings due to an inability to manipulate events that precipitate this ideological …
Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay
Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay
Journal of Environmental Science and Sustainable Development
Türkiye's 2053 net-zero emissions target and the critical role of the manufacturing sector in this process necessitate an urgent examination of the financial impacts of circular economy (CE) practices. This study provides an exploratory analysis of the relationship between environmental burden and financial performance using 2023 data from 26 manufacturing companies in Borsa Istanbul. Given the difficulty of measuring holistic circularity at the company level, this study operationalizes the environmental dimension of circular economy performance using selected environmental burden indicators, including energy and water consumption, greenhouse gas emissions, and waste generation. The study uses the alternative ranking order method accounting …
Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto
Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto
Journal of Environmental Science and Sustainable Development
The legal significance of strict liability in mining arises from the sector’s capacity to generate technically complex, diffuse, and long-latency environmental harm that is difficult to address through fault-based litigation alone. This study aims to evaluate how the post-Omnibus Law reformulation of Article 88 of Law No. 32 of 2009 has affected the doctrinal autonomy, judicial consistency, and practical enforcement of strict liability in Indonesian environmental law. The research used normative doctrinal legal research including statutory, case-law, conceptual, comparative, and evaluative analyses. The data cover the 2009–2025 period and consist of two core statutory formulations of Article 88, the Job …
A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan
A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan
Journal of Environmental Science and Sustainable Development
In the context of sustainable development, energy-efficient conversion technologies play an important role in reducing energy consumption and minimizing environmental impact. High-efficiency line-start permanent-magnet synchronous motors (LSPMSM) have emerged as a promising alternative to conventional motors. This study investigates the potential of LSPMSM as a viable solution for sustainable industrial development. An integrated approach combining motor design optimization, performance analysis, and environmental impact assessment is applied to evaluate the benefits of replacing conventional low-efficiency IE1 squirrel-cage induction motors (SCIM) with the proposed solution. A proposed step-skewed permanent magnet (PM) configuration of LSPMSM 2.2 kW, 4 poles is introduced. The proposed …
The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni
The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni
Journal of Tolkien Research
This work proposes a conjectural paleogeographic model linking the Sea of Rhûn, Núrnen and the Dead Marshes to the former Sea of Helcar. Beginning from Christopher Tolkien's suggestion that Rhûn may represent Helcar ``vastly shrunken,'' the study combines textual evidence, the Ambarkanta, Fonstad's cartographic reconstructions, and terrestrial analogues drawn from the evolution of the Paratethys, the Messinian Salinity Crisis and other endorheic basins. Helcar is interpreted not merely as an isolated body of deep water but as the centre of a broader hydrological province subsequently partitioned by relief change, sedimentary infilling, basin isolation and drainage reorganization. Within this model, Rhûn …
Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine
Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine
Military Cyber Affairs
Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.
From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder
From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder
Military Cyber Affairs
Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …
Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang
Sustainable Development Of National Park Communities In China: Conditions, Challenges, And Implementation Paths, Baorong Huang, Xuetian Hu, Ling Tang, Zhi Wang, Zhi Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Promoting the sustainable development of communities in national parks is essential to the high-quality construction of the world’s largest national park system in China. Drawing on systematic social surveys of communities within national parks and candidate areas, this study outlines the key characteristics of these communities and analyzes their current development status, challenges, and constraints. It proposes a fivefold approach to advancing sustainability. Namely, (1) conceptually, by establishing a theoretical and cognitive framework for human–nature coexistence and overcoming antagonistic perceptions between parks and communities; (2) strategically, by fostering model villages and green development zones led by communities; (3) institutionally, by …
On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie
On-Device Computing Systems For Embodied Ai: Current Research Status And Strategic Directions, Shaoshan Liu, Zhenhua Zhu, Yiming Gan, Yu Wang, Yuan Xie
Bulletin of Chinese Academy of Sciences (Chinese Version)
Embodied AI is emerging as a key paradigm empowering general-purpose autonomy, but it requires on-device computing systems that simultaneously support high-throughput “cognition–planning” tasks and millisecond-level real-time “perception–control” loops. Converging solutions now coalesce around three pillars: (1) dataflow- and chiplet-based architectures, (2) memory-centric heterogeneous dies, and (3) RISC-V customizable cores with open tool-chains. This study distills the latest technical progress, pinpoints the remaining core technical bottlenecks, and charts an actionable course for academia, industry, and policymakers. The study calls for unified benchmarking and standardization, open-source software–hardware ecosystems, memory-centric dataflow architectures, and efficient on-device deployment of embodied foundation models. Finally, it outlines …
Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou
Construction And Application Of Clinical Evidence Framework For Brain-Computer Interface, Wenxiu Qi, Cheng Zhou
Bulletin of Chinese Academy of Sciences (Chinese Version)
Brain-computer interface systems are emerging neurotechnologies that are gradually moving from laboratory research toward clinical application. However, their inherent features, including small sample sizes, heterogeneous technical pathways, and rapid product iteration, make it difficult to integrate safety and efficacy data across studies or to conduct meaningful cross-study comparisons. These challenges not only hinder the cumulative development of evidence in evidence-based medicine, but also complicate the assessment of clinical access and regulatory review. In addition, subjective evidence, such as patient experience, remains insufficiently captured in existing evaluation frameworks. It is therefore necessary to examine the structure of evidence for brain-computer interface …
Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss
Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss
Journal of Applied Disciplines
Homelessness and housing research has a detection problem, in which understanding housing issues (e.g., substandard housing) is plagued by problems like undercounting and incomplete data. To partially compensate for these pitfalls, the current research engages in an exercise aiming to sharpen the statistical approach to homelessness and housing research. The macro-level sample included Florida’s 27 Continuums of Care geographies (composed of one or more Florida counties). The dependent variables were sheltered homelessness, energy-based substandard housing, and plumbing-based substandard housing. The independent variables were misdemeanor partner violence rates, felony partner violence rates, high school non-completion rates, urbanicity, and population burdens of …
Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate
Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate
The Geographical Bulletin
This study presents a decade-long spatiotemporal analysis of more than 206,000 traffic accidents recorded between 2015 and 2024 in unincorporated DeKalb County, Georgia. The primary goal of the study is to identify critical patterns of roadway risk and inform data‑driven safety interventions. Using crash records from the Georgia Department of Transportation (GDOT) AASHTOWare Safety platform and standardized crash‑rate calculations, the analysis revealed strong temporal regularities, including elevated crash frequencies during afternoon peak hours, Fridays, and seasonal transition periods such as October. Spatial analyses further demonstrate that crashes are highly concentrated along a limited subset of corridors, consistent with High Injury …
Enhancing Cognitive And Emotional Development In An Inclusive High School Setting: A Study Of Students With Intellectual Disabilities, Roxanne Miller
Enhancing Cognitive And Emotional Development In An Inclusive High School Setting: A Study Of Students With Intellectual Disabilities, Roxanne Miller
Doctoral Dissertations and Projects
Students with intellectual disabilities often experience cognitive deficits that limit the development of social cognition and critical thinking skills. Challenges in executive functioning, including reduced metacognitive awareness, emotional regulation, and self-regulation, further hinder their ability to plan, monitor, and adapt their thinking and behavior, creating barriers to success in inclusive educational settings. This mixed-methods pilot study examined the effects of the Feuerstein Instrumental Enrichment (FIE) program on the cognitive development of five high school students with intellectual disabilities enrolled in an inclusive Christian high school over one semester. Using a sequential explanatory design, quantitative data were collected via the MINDCAP …