Social and Behavioral Sciences Commons^™

The Santa Clara, 2024-03-01, Santa Clara University

The Santa Clara

No abstract provided.

Sustainable Shift: Analyzing Drivers For Low-Carbon Transportation Adoption In California’S Heavy-Duty And Off-Road Sectors, Vuban Chowdhury, Farzana Mehzabin Tuli, Suman Kumar Mitra

Civil Engineering Faculty Publications and Presentations

The transportation sector stands out as a major challenge for California’s transition to a more sustainable transportation system, as it accounts for most of the greenhouse gas emissions. This underscores the urgency for government agencies to take decisive action in promoting the adoption of low-carbon transportation (LCT) within the heavy-duty vehicle (HDV) and off-road equipment (ORE) sectors. This study employs content analysis to investigate the impact of behavioral factors, specifically awareness and impression, on LCT adoption within these sectors. The analysis results are refined using a generative artificial intelligence (AI) tool. The results indicate that awareness about LCT, in conjunction …

Navigating Sustainable Futures, Franziska Zimmermann

Asian Management Insights

A leadership imperative.

Artificial Intelligence And Perception: An Empirical Study, Anthony J. Neil

Theses and Dissertations

This thesis investigates the impact of adjusting artificial intelligence explainability levels’ outputs on user perception. The overarching study extends within the Explainable Artificial Intelligence (XAI) domain. It examines a spectrum of variables, including performance, cognizance, familiarity, transparency, system bias, and the overall impact of AI, to understand their collective and individual effects that enable effective professional use in an organization. The study aims to illuminate the relationship between the degree of explainability provided by large language models such as ChatGPT, Bard, and Bing AI and the performance of these models when tasked with XAI adjustments.

Natural Resource Conflict And Socioenvironmental Resistance In Arctic States: Assessing Domestic Risks To Circumpolar Security, Jen Evans

Electronic Theses and Dissertations

How does climate change contribute to domestic natural resource conflict and socioenvironmental resistance in the Arctic? The literature assumes that developed Arctic nations possess sufficient state capacity to overcome risks of domestic conflict and unrest posed by regional development and environmental change. Arctic policy correspondingly focuses on natural resource competition, disputes, and conflict at the international level. The mechanisms and processes of domestic natural resource conflict and socioenvironmental resistance in the Arctic have thus been largely ignored in the literature, even though 27 cases of contention have occurred since the ‘shock’ sea-ice melt of 2007.

In this study, I draw …

Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo

Asian Management Insights

Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases. Can you imagine getting the results of your eye disease screening within minutes rather than days? This capability is what EyRIS, a Singapore-based start-up that uses the AI (Artificial Intelligence)-driven Singapore Eye LEsion Analyzer (SELENA+) algorithm to screen for diabetes-related eye diseases, set out to productise and commercialise.

Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda

Asian Management Insights

For that, the region must narrow the digital divide.

Quantum Computing And U.S. Cybersecurity: A Case Study Of The Breaking Of Rsa And Plan For Cryptographic Algorithm Transition, Helena Holland

Honors Program: Senior Projects (Public)

The invention of a cryptographically relevant quantum computer would revolutionize computing power, transforming industry and national security. While a theoretical possibility at the time of this writing, the ability of quantum algorithms to solve the factoring and discrete logarithm problems, upon which all currently employed public-key cryptography depends, presents a serious threat to digital communications. This research examines both the mathematics and government policy behind these risks and their implications for cybersecurity. Specifically, a case study of RSA, Shor’s algorithm, and the American Intelligence Community’s plan to transition toward quantum-resistant algorithms is presented to analyze quantum threats and opportunities and …

Identifying Rural Health Clinics Within The Transformed Medicaid Statistical Information System (T-Msis) Analytic Files, Katherine Ahrens Mph, Phd, Zachariah Croll, Yvonne Jonk Phd, John Gale Ms, Heidi O'Connor Ms

Rural Health Clinics

Researchers at the Maine Rural Health Research Center describe a methodology for identifying Rural Health Clinic encounters within the Medicaid claims data using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files.

Background: There is limited information on the extent to which Rural Health Clinics (RHC) provide pediatric and pregnancy-related services to individuals enrolled in state Medicaid/CHIP programs. In part this is because methods to identify RHC encounters within Medicaid claims data are outdated.

Methods: We used a 100% sample of the 2018 Medicaid Demographic and Eligibility and Other Services Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files for 20 states …

Developing Singapore As A Smart Nation, Josephine Teo

Asian Management Insights

Mrs Josephine Teo, Singapore’s Minister for Communications and Information, and Minister-in-charge of Smart Nation and Cybersecurity, speaks about leading the country’s Smart Nation drive.

Temperature Forecasts For The Continental United States: A Deep Learning Approach Using Multidimensional Features, Jahangir Ali, Linyin Cheng

Geosciences Faculty Publications and Presentations

Accurate weather forecasts are critical for saving lives, emergency services, and future developments. Climate models such as numerical weather prediction models have made significant advancements in weather forecasts, but these models are computationally expensive and can be subject to inaccurate representations of complex natural interconnections. Alternatively, data-driven machine learning methods have provided new dimensions in assisting weather forecasts. In this study, we used convolutional neural networks (CNN) to assess how geopotential height at different levels of the troposphere may affect the predictability of extreme surface temperature (t2m) via two cases. Specifically, we analyzed temperature forecasts over the continental United States …

T-Pickseer: Visual Analysis Of Taxi Pick-Up Point Selection Behavior, Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, Haipeng Zeng

Research Collection School Of Computing and Information Systems

Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi management and dispatch. Many studies have been devoted to analyzing and recommending hotspot regions of pick-up points, which can make it easier for drivers to pick-up passengers. However, the selection of pick-up points is complex and affected by multiple factors, such as convenience and traffic management. Most existing approaches cannot produce satisfactory …

Conditional Neural Heuristic For Multiobjective Vehicle Routing Problems, Mingfeng Fan, Yaoxin Wu, Zhiguang Cao, Wen Song, Guillaume Sartoretti, Huan Liu, Guohua Wu

Research Collection School Of Computing and Information Systems

Existing neural heuristics for multiobjective vehicle routing problems (MOVRPs) are primarily conditioned on instance context, which failed to appropriately exploit preference and problem size, thus holding back the performance. To thoroughly unleash the potential, we propose a novel conditional neural heuristic (CNH) that fully leverages the instance context, preference, and size with an encoder–decoder structured policy network. Particularly, in our CNH, we design a dual-attention-based encoder to relate preferences and instance contexts, so as to better capture their joint effect on approximating the exact Pareto front (PF). We also design a size-aware decoder based on the sinusoidal encoding to explicitly …

Investigating Communication Of Findings In Environmental Impact Assessment And Developing A Research Agenda For Improvement, Alan Bond, Francois Retief, Angus Morrison-Saunders, Jenny Pope, Reece C. Alberts, Claudine Roos, Dirk Cilliers

Research outputs 2022 to 2026

Environmental Impact Assessment (EIA) aims to embed consideration of the significance of predicted environmental consequences (the findings) of proposed developments into approval decision making. Achieving this aim relies on adequate communication of the findings of the EIA to the stakeholders, especially the decision makers responsible for the approval decision. However, the naïve assumption that this communication of findings can be effectively achieved through the publication of a written report pervades legislation worldwide, despite decades of evidence to the contrary. As a first step towards improving such communication, this research identifies the contingent conditions associated with effectively transferring EIA findings from …

Decentralized Multimedia Data Sharing In Iov: A Learning-Based Equilibrium Of Supply And Demand, Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

The Internet of Vehicles (IoV) has great potential to transform transportation systems by enhancing road safety, reducing traffic congestion, and improving user experience through onboard infotainment applications. Decentralized data sharing can improve security, privacy, reliability, and facilitate infotainment data sharing in IoVs. However, decentralized data sharing may not achieve the expected efficiency if there are IoV users who only want to consume the shared data but are not willing to contribute their own data to the community, resulting in incomplete information observed by other vehicles and infrastructure, which can introduce additional transmission latency. Therefore, in this paper, by modeling the …

Relocating Lubra Village And Visualizing Himalayan Flood Damages With Remote Sensing, Ronan Wallace, Yungdrung Tsewang Gurung, Ryan Kastner

Journal of Critical Global Issues

As weather patterns change worldwide, isolated communities impacted by climate change go unnoticed and we need community-driven solutions. In Himalayan Mustang, Nepal, indigenous Lubra Village faces threats of increasing flash flooding. After every flood, residual muddy sediment hardens across the riverbed like concrete, causing the riverbed elevation to rise. As elevation increases, sediment encroaches on Lubra’s agricultural fields and homes, magnifying flood vulnerability. In the last monsoon season alone, the Lubra community witnessed floods swallowing several agricultural fields and damaging two homes. One solution considers relocating the village to a new location entirely. However, relocation poses a challenging task, as …

Book Review: Tracers In The Dark: The Global Hunt For The Crime Lords Of Cryptocurrency, Marion Jones

International Journal of Cybersecurity Intelligence & Cybercrime

Doubleday released Andy Greenberg’s Tracers in the Dark: The Global Hunt for the Crime Lords of Cryptocurrency in November 2022. Through vivid case studies of global criminal investigations, the book dispels myths about the anonymizing power of cryptocurrency. The book details how the ability to identify cryptocurrency users and payment methods successfully brought down several large criminal empires, while also highlighting the continuous cat-and-mouse game between law enforcement officials and criminal actors using cryptocurrency. The book is an excellent resource for law enforcement officials, academics, and general cybersecurity practitioners interested in cryptocurrency-related criminal activities and law enforcement techniques.

Implementation Of Digital Health In Addressing Global Threats: Lessons From The Use Of Technology During Covid-19 Pandemic In Indonesia, Naili Shifa, Anisa Tiasari, Kemal N. Siregar

Kesmas

This research conducted a systematic literature review to explore the implementation of digital health in Indonesia, focusing on the digital health policies, usage during the COVID-19 pandemic, benefits, and lessons learned. The study identified 10 relevant journals through database searches and analyzed the trends in publication, productive journals, and top institutions involved in digital health research. The findings revealed an increasing interest in digital health, with a growing number of published articles from 2021 to 2023. ScienceDirect emerged as the most productive journal, followed by PubMed and MDPI. The University of Indonesia and the University of Gajah Mada were the …

Navigating The Digital Frontier: The Intersection Of Cybersecurity Challenges And Young Adult Life, Hannarae Lee

International Journal of Cybersecurity Intelligence & Cybercrime

Papers from this issue advocate for empowering young adults with knowledge and tools to navigate cyberspace safely, emphasizing the necessity of heightened cybersecurity measures and proactive education. As we advance into the digital abyss, this call becomes imperative, ensuring that the young adults' experience remains a journey of growth and enlightenment, unaffected by the shadows of unseen online threats.

The Need For A Cybersecurity Education Program For Internet Users With Limited English Proficiency: Results From A Pilot Study, Fawn T. Ngo, Rustu Deryol, Brian Turnbull, Jack Drobisz

International Journal of Cybersecurity Intelligence & Cybercrime

According to security experts, cybersecurity education and awareness at the user level are key in combating cybercrime. Hence, in the U.S., cybersecurity and Internet safety workshops, classes, and resources targeting children, adolescents, adults, and senior citizens abound. However, most cybercrime prevention programs are only available in English, thus, ignoring a substantial proportion of Internet users and potential cybercrime victims—Internet users with limited English proficiency (LEP). Yet, successfully combating cybercrime requires that all computer and Internet users, regardless of their language abilities and skills, have access to pertinent cybersecurity information and resources to protect themselves online. This paper presents the results …

Improving Belonging And Connectedness In The Cybersecurity Workforce: From College To The Profession, Mary Beth Klinger

Journal of Cybersecurity Education, Research and Practice

This article explores the results of a project aimed at supporting community college students in their academic pursuit of an Associate of Applied Science (AAS) degree in Cybersecurity through mentorship, collaboration, skill preparation, and other activities and touch points to increase students’ sense of belonging and connectedness in the cybersecurity profession. The goal of the project was focused on developing diverse, educated, and skilled cybersecurity personnel for employment within local industry and government to help curtail the current regional cybersecurity workforce gap that is emblematic of the lack of qualified cybersecurity personnel that presently exists nationwide. Emphasis throughout the project …

A Case For Hope In A Warming World, Noreen L. Herzfeld

Reuter Professorship of Science and Religion Publications

It is difficult to feel hopeful in a rapidly warming world. But hope is not just a feeling. It is an active verb, one that calls for courage, solidarity, a clear vision, and hard work. First, knowing that each fraction of a degree counts, humanity is called not to despair but to use every technology and means, technologies we already have. Second, we can be encouraged by a vision of a new world and society that works for everyone. Third, we can be heartened by nature’s resilience and an evolutionary theology that looks toward the future.

Evaluating Sojump.Com As A Tool For Online Behavioral Research In China, Alessandro Del Ponte, Lianjun Li, Lina Ang, Noah Lim, Wei Jie Seow

Political Science Faculty Articles and Research

SoJump.com (wjx.cn; in short: SoJump) is a survey company that allows researchers to build and deploy inexpensive online surveys in China. Here we evaluate SoJump’s data quality and similarity to the national benchmark. In the first study, we compare SoJump’s performance in China to MTurk’s performance against national benchmarks in the United States and India. In the second study, we compare three Chinese platforms in two-wave panel studies. We conducted the panels on SoJump, Credamo (SoJump’s major competitor), and Cint (national benchmark). We included attention and comprehension checks, economic games, cognitive tasks, and a framing experiment. We find that SoJump’s …

The Fuxi Farm: Practice Exploration And Reflection On Integrated Innovation Of Smart Agriculture Technology, Yucheng Zhang, Xiaobo Zhang, Shuqin Gao, Congcong Zheng, Jingyao Zhang, Ya Wen, Lujun Li, Zhuo Wang, Tie Li, Honglong Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Smart agriculture plays a pivotal role in enhancing food security by optimizing resource use and improving crop yields through the application of AI technologies. The establishment of smart farms is critical to rapidly integrating AI into agricultural production, offering platforms for both the deployment and testing of AI solutions and equipment. This paper examines the development of smart farms, with a focus on practices from developed countries, and assesses the current status of smart farming in China. We then focus on exploring the content, pathways, and practices for constructing a smart agricultural production system in China through the establishment of …

Accelerate Innovation Of Forage Intelligent Breeding Technology: Reflection And Suggestions, Haichun Jing, Weijuan Hu, Jingbo Jin, Jingyu Zhang, Yao Zhou, Yue Gong, Gang Yao, Lei Wang, Kang Chong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is facing unprecedented changes today, with continuous population growth intensifying the pressure on food demand. The shift towards diversified dietary structures has increased the demand for feed grains, while climate change further threatens China’s food security by affecting agricultural productivity and carbon sequestration economy. At present, China has entered a new era of food supply and feed. As the food supply for animals, forage is the core component of feed, and its industrial development has profound strategic significance for ensuring national food security. This study analyzes the current situation of China’s forage seed industry, summarizes the cutting-edge achievements …

Rapid Soil Detection Technology Aids In Assessing Soil Nutrients In China, Wei Wu, Xiaoyong Liao, Xiaopeng Li, Yuntao Wu, Huixian Lu, Yucheng Zhang, Jiabao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Soil quality is the core issue for ensuring China’s food security, and soil health is the top priority of soil quality. Comprehensive, rapid and accurate acquisition of soil background data is the prerequisite for achieving homogeneous soil management and formulating balanced fertilization strategies, which will play a key role in improving non-point source pollution caused by unreasonable fertilization and achieving balanced grain yield increase. This study reviews rapid soil testing methods both domestically and internationally. Based on previous research, it proposes a technical approach to rapidly detect soil nutrient concentrations by calculating the gamma quanta released during the decay of …

Hillside Agricultural Machinery And Agricultural Intelligence Driven By New Technologies, Hong Qiao, Yanfeng Lyu, Enhao Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Hilly and mountainous areas play a crucial role in China’s agricultural production. However, the low level of comprehensive mechanization for crop cultivation, planting, and harvesting in these regions severely hampers the modernization of agriculture. The complex terrain and diverse cropping patterns in hilly areas necessitate the development of specialized agricultural machinery and robots tailored to these unique landscapes. To advance this process, the Chinese government has introduced a series of policies in recent years to support the research and development of agricultural machinery for hilly regions, providing strong backing for the advancement of agricultural technology in these areas. Against this …

Artificial Intelligence Innovation For Smart Plant Factory To Diversify Its Big Food Production Functions, Huaqin Gong, Haichun Jing, Xin Tan, Xianhui Wang, Yucheng Zhang, Rongcheng Lin, Mingyu Yang, Shuang Lin, Hualing Xie, Yanping Yang, Shitang Ye, Peng Li, Tingyun Kuang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China’s food security is facing more and more severe and complex challenges, such as tight balance between food demand and supply, the upgrading of consumption structure, and resource constraints. The plant factory is an advanced scenario in agricultural production, a diversified food production system that gets rid of the constraints of “ask for food from the mother nature” and respond to disasters and wars, and is oriented to space. Nevertheless, the high cost greatly limits the application and development of plant factories. The rapid development of artificial intelligence will bring new opportunities for the innovative development and expansion of plant …

A New Scientific Research Paradigm Driven By Ai And Its Applications In Academic Disciplines, Jiang Yu, Yue Zhang, Yi Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

The artificial intelligence (AI) -driven paradigm of scientific research, deeply embedded through the integration of data, computing power, and algorithms, has triggered profound changes in the research process, thinking logic, and organizational patterns. This study systematically summarizes the main characteristics and forms of the AI-driven new scientific research paradigm. It proposes that the evolution of the AI-driven research paradigm is shifting from “automated research” to “model-based research” and “intelligent research.” The depth and scope of AI applications in scientific research continue to expand, and this will drive significant changes in research organization and governance models. In addition, this study discusses …

Data And Intelligent Driven Space Science Experimental Research: New Exploration Under Ai4s Paradigm, Shengyang Li, Kang Liu, Yunfei Liu, Chufan Lai

Bulletin of Chinese Academy of Sciences (Chinese Version)

As artificial intelligence (AI) technology continues to advance, it is revolutionizing various scientific fields, giving rise to a new research paradigm known as AI for Science (AI4S). This study highlights the unique multidisciplinary advantages of AI in space science experiments conducted under microgravity conditions. It provides a comprehensive analysis of AI-driven approaches to multimodal space science experiment data pattern mining, domain knowledge extraction, interdisciplinary knowledge integration, and cognitive intelligence. The study reveals AI’s substantial potential to enhance intelligent scientific research, cognition, and discovery within the realm of space science experiments. The findings suggest that data-driven space science research, as a …