Social and Behavioral Sciences Commons^™

Normal Redefined: Exploring Decontextualization Of Lorises (Nycticebus & Xanthonycticebus Spp.) On Social Media Platforms, Luke F. Quarles, Kim Feddema, Marco Campera, K. A.I. Nekaris

Research outputs 2022 to 2026

Introduction: Decontextualization is a concept from psychology whereby new words are learned outside of the context of the here-and-now. Decontextualized language is used for discussing abstract concepts and is crucial to the development of academic language. When it comes to images, a dearth of context can lead to a lack of clarity, such as the use of ambiguous decontextualized images in environmental communication, leading to the promotion of greenwashing. Here we refer to decontextualization as the removal of wildlife from their wild ecological context. Images and videos of globally threatened species are increasingly popular on social media. Showing such taxa …

Automatic Scoring Of Speeded Interpersonal Assessment Center Exercises Via Machine Learning: Initial Psychometric Evidence And Practical Guidelines, Louis Hickman, Christoph N. Herde, Filip Lievens, Louis Tay

Research Collection Lee Kong Chian School Of Business

Assessment center (AC) exercises such as role-plays have established themselves as valuable approaches for obtaining insights into interpersonal behavior, but they are often considered the “Rolls Royce” of personnel assessment due to their high costs. The observation and rating process comprises a substantial part of these costs. In an exploratory case study, we capitalize on recent advances in natural language processing (NLP) by developing NLP-based machine learning (ML) models to investigate the possibility of automatically scoring AC exercises. First, we compared the convergent-related validity and contamination with word count of ML scores based on models that used different NLP methods …

Dental Floss, Calculus, And Jail: Solutions For Fermi Questions, October 2023, John Adam

Mathematics & Statistics Faculty Publications

No abstract provided.

Navigating Opportunities To Improve Youth Outcomes In A Least Developed Country: An Action Research Study, Naomi Docilait

Antioch University Dissertations & Theses

The ambitious United Nations-adopted Sustainable Development Goals (SDGs) require the concentrated effort of governments, the business sector, and other key stakeholders, including women and youth, for its success. Effective leadership will be essential for different sectors to integrate these development goals into strategic plans and operational activities in the service of realizing this agenda by 2030. Unfortunately for Least Developed Countries (LDCs), the COVID-19 pandemic caused the worst economic outcomes in 30 years. For this group of countries, the pandemic has negatively influenced efforts to eradicate poverty and improve social outcomes. This setback makes achieving the Sustainable Development Goals by …

Improving Connectivity For Remote Cancer Patient Symptom Monitoring And Reporting In Rural Medically Underserved Regions, Esther Max-Onakpoya

Theses and Dissertations--Computer Science

Rural residents are often faced with many disparities when compared to their urban counterparts. Two key areas where these disparities are apparent are access to health and Internet services. Improved access to healthcare services has the potential to increase residents' quality of life and life expectancy. Additionally, improved access to Internet services can create significant social returns in increasing job and educational opportunities, and improving access to healthcare. Therefore, this dissertation focuses on the intersection between access to Internet and healthcare services in rural areas. More specifically, it attempts to analyze systems that can be used to improve Internet access …

The Basil Technique: Bias Adaptive Statistical Inference Learning Agents For Learning From Human Feedback, Jonathan Indigo Watson

Theses and Dissertations--Computer Science

We introduce a novel approach for learning behaviors using human-provided feedback that is subject to systematic bias. Our method, known as BASIL, models the feedback signal as a combination of a heuristic evaluation of an action's utility and a probabilistically-drawn bias value, characterized by unknown parameters. We present both the general framework for our technique and specific algorithms for biases drawn from a normal distribution. We evaluate our approach across various environments and tasks, comparing it to interactive and non-interactive machine learning methods, including deep learning techniques, using human trainers and a synthetic oracle with feedback distorted to varying degrees. …

Preface : Fruit And Vegetable Waste Utilization And Sustainability, Sachin A. Mandavgane, Ipsita Chakravarty, Amit Jaiswal

Books/Book Chapters

Fruits and vegetables are an important source of nutrition and a key element of a healthy balanced diet. Several organizations such as the World Health Organization (WHO), Food and Agriculture Organization of United Nations (FAO), and Food Health England suggest consuming more than 400 g of fruits and vegetables per day (roughly five portions per day) to improve overall health and reduce the risk of certain cardiovascular diseases and cancer; subsequently, consumption and production of fruits and vegetables are on the rise. The increased consumption/production of fruits and vegetables has resulted in huge quantities of waste (approximately 42% of the …

Predictive Taxonomy Analytics (Lasso): Predicting Outcome Types Of Cyber Breach, Jing Rong Goh, Shaun S. Wang, Yaniv Harel, Gabriel Toh

Research Collection School Of Economics

Cyber breaches are costly for the global economy and extensive efforts have gone into improving the cybersecurity infrastructure. There are numerous types of cyber breaches that vary greatly in terms of cause and impact, resulting in an extensive literature for individual cyber breach type. Our paper seeks to provide a general framework that can be easily applied to analyze different types of cyber breaches. Our framework is inspired by the taxonomy approach in the cybersecurity literature, where it was proposed that an effective set of taxonomy can provide a direction on supporting improved decision-making in cyber risk management and selecting …

The Impact Of Subjective Risk Analysis On Real Estate Prices In The Nisqually Region Following The 2001 Nisqually Earthquake, Ryan Espedal

All Master's Theses

Earthquakes are an environmental hazard that pose great risks to communities almost every day. With earthquakes, the main cause of concern is physical destruction of property, however, there are also psychological effects that are researched and discussed much less. In 2001, the Nisqually area of western Washington experienced a substantial earthquake that produced minimal physical damage but caused a significant decrease in real estate prices. Studying single-family homes from 1986-2012, this research utilizes hedonic property models to measure the change in consumer’s subjective risk calculations with reference to real estate purchases after the Nisqually earthquake, measure the relationship between earthquake …

Economic Implications Of International Energy Trade: A Comparative Analysis Across Developed, Developing, And Least Developed Nations, Mmaduabuchi Chigozie Emeghebo, Bintou K.B. Janneh, Semeria Youlo Maurice

World Maritime University Dissertations

Energy trade and consumption constitute vital components of international trade, a significance that has been amplified by escalating global industrialization and globalization. Nonetheless, the patterns of demand, trade, and utilization of energy differ markedly across various categories of economies, as delineated by the United Nations into Developed, Developing, and Least Developed Nations.

This study endeavors to elucidate the influence of international energy trade and consumption on the economic development trajectories of these three distinct categories of nations. Employing linear panel regression methodologies on panel data sets spanning the period from 1995 to 2021 for each category, the analysis reveals that …

Applying Data Science And Machine Learning To Understand Health Care Transition For Adolescents And Emerging Adults With Special Health Care Needs, Lisamarie Turk

Nursing ETDs

A problem of classification places adolescents and emerging adults with special health care needs among the most at risk for poor or life-threatening health outcomes. This preliminary proof-of-concept study was conducted to determine if phenotypes of health care transition (HCT) for this vulnerable population could be established. Such phenotypes could support development of future studies that require data classifications as input. Mining of electronic health record data and cluster analysis were implemented to identify phenotypes. Subsequently, a machine learning concept model was developed for predicting acute care and medical condition severity. Three clusters were identified and described (Cluster 1, n …

How Do Cooperatives Enable Empowerment Among Rural Women? Evidence From The Municipality Of Cavinti, Laguna, Maria Theresa M. Castro-Bernardo, Liezel S. Cruz

Journal of Economics, Management and Agricultural Development

The persistent gender issues and their implications for sustainable development have led to several strategic yet collective schemes, such as the cooperatives, promising to contribute to (women) empowerment and social equality. Guided by Kabeer’s conceptual framework, this study analyzes the role of cooperative membership in promoting empowerment among its female coop-members in Cavinti, Laguna. Primary and secondary sources of data were used and analyzed using descriptive statistics and correlation analysis. The result indicates that cooperatives play a critical role in empowering women by providing new and/or improved knowledge and skills through capacity-building training necessary to make informed decisions, thus strengthening …

Market Analysis And Positioning Of Processed Halal Chevon Food Products, Jalaloden B. Marohom, Ivy Mar B. Cabornida

Journal of Economics, Management and Agricultural Development

Halal has gained popularity as a result of consumer concerns about food safety and ethical issues. Chevon is an important source of protein. However, no halal chevon products are commercially produced. Hence, the study aimed to develop positioning strategies to commercialize the products. A survey was undertaken of 400 potential consumers in the Philippines. The majority of the respondents were willing to buy halal food products. Descriptive statistics were applied, and findings revealed that products were generally acceptable. Potential consumers prefer it in wide assortment, in proper packaging, has informative labels, and easy to locate. However, their preference is significantly …

Ex-Ante Cost-Benefit Analysis Of High-End And Low-Cost Wireless Sensor Network (Wsn) Technology Packages For Efficient Irrigation Water Management In The Philippines, Marielle Q. Aringo, Victor B. Ella, Camille G. Martinez, Gamiello S. Pereira

Journal of Economics, Management and Agricultural Development

Four wireless sensor network (WSN) technology packages developed for efficient irrigation water management in the Philippines were subjected to ex-ante cost-benefit analysis (CBA) to assess their financial viability. The WSN technologies include high-end and low-cost wireless sensors for upland crop production with drip irrigation system and lowland crop production with alternate wetting and drying (AWD). Results showed that the high-end WSN technology packages are only viable for high-value crops such as red onion, bell pepper, and hot pepper. The low-cost WSN technology packages are viable for all selected crops except sweet corn. Minimum areas were also generated for each crop …

Preferences Of Coffee Farmers For Attributes Of Selected Coffee Technologies In The Philippines, Jayson S. Cabral, Dia Noelle F. Velasco, Mar B. Cruz, Nohreen Ethel P. Manipol, Hannah D. Miranda-Quibot

Journal of Economics, Management and Agricultural Development

This paper looked into the preferences of 151 coffee farmers for the attributes of selected coffee technologies. The study was done to help guide technology developers in crafting post harvest processing facilities for coffee which their target market will need which can lead to a higher probability of commercialization of new coffee technologies. The study examined the preferences for attributes for coffee dryers, moisture meters, coffee depulpers, and coffee sorters using the Analytic Hierarchy Process (AHP) framework. The results revealed that the quality of the final product is the top priority for coffee farmers when choosing a coffee dryer. Non-destructiveness …

Pollution Emissions And Economic Growth In Asia Through The Lens Of The Environmental Kuznets Curve, Brian Jason H. Ponce, Yolanda T. Garcia, Gideon P. Carnaje, Agham C. Cuevas

Journal of Economics, Management and Agricultural Development

The nonlinear relationship of pollution emissions with economic growth alongside energy consumption variables was examined to test the Environmental Kuznets Curve (EKC) hypothesis using a panel sample comprising 34 Asian economies from 2001 to 2013. Panel Autoregressive Distributed Lag models in the forms of Pooled Mean Group and Mean Group models were estimated and tested against one another using the Hausman test. For robustness checks, the same econometric techniques were applied to disaggregated panel groups based on income classifications. The study reveals that, while the EKC hypothesis holds in Asia, the findings were not robust across the disaggregated panel groups. …

Isotopic Signature Of Massive, Buried Ice In Eastern Taylor Valley, Antarctica: Implications For Its Origin, Christopher B. Gardner, Melisa A. Diaz, Devin F. Smith, Andrew G. Fountain, Joseph S. Levy, W. Berry Lyons

Geography Faculty Publications and Presentations

The coastal regions of the McMurdo Dry Valleys, Antarctica, contain deposits of the Ross Sea Drift, sedimentary material left from the Ross Sea ice sheet from the advance of the West Antarctic ice sheet during the Last Glacial Maximum. Much of this deposit is ice-cored, but data on the stable isotopic composition of water from this ice, which may contain a valuable climate archive, are sparse or incomplete. Widespread thermokarstic ground subsidence in this “coastal thaw zone” of the McMurdo Dry Valleys suggests that these potential records are rapidly being lost due to the melting of ground ice and permafrost. …

Assessing The Health Effects Of Climate Change, Social Vulnerability, And Environmental Justice In Camden County, New Jersey, Daniil Ivanov

Theses

Climate change negatively impacts health, while socially vulnerable and overburdened communities disproportionately experience climate change and negative health determinants. Camden County is used as a case study for analyzing environment, socioeconomics, and health. Environmental variables—PM2.5 and land cover of impervious surfaces, floodplains, and forests—were compared to the CDC Social Vulnerability Index (SVI) at the census tract level, finding significant correlations between land cover, air quality, and the SVI. The overburdened communities defined by the NJ Environmental Justice Law experienced a significantly higher incidence of emergency department visitation for respiratory, circulatory, and mental illnesses than non-overburdened communities. Health outcomes were compared …

Equivalent Hazard Magnitude Scale, Yi Victor Wang, Antonia Sebastian

Institute for ECHO Articles and Research

Hazard magnitude scales are widely adopted to facilitate communication regarding hazard events and the corresponding decision making for emergency management. A hazard magnitude scale measures the strength of a hazard event considering the natural forcing phenomena and the severity of the event with respect to average entities at risk. However, existing hazard magnitude scales cannot be easily adapted for comparative analysis across different hazard types. Here, we propose an equivalent hazard magnitude scale to measure the hazard strength of an event across multiple types of hazards. We name the scale the Gardoni Scale after Professor Paolo Gardoni. We design the …

Doctoral Studies As Learning To Rename The World, Hyleen Mariaye

Journal of Multicultural Affairs

The reflective experience documented in this paper engages with doctoral learning from Freire’s (1968/2000) conceptual lens of naming the world. Written from the narrative lens of the supervisor, it considers how doctoral level studies in education can position both the supervisor and the candidates as agents actively reconstructing their understanding of the world and their place in it. The doctoral journey is viewed as praxis compelling researchers to expand their frames for reading the world, accommodating the other, including multiple voices and thus demonstrating commitment to a global and yet constantly contested notion of citizenship.

Poetry And Praxis: Lessons From An Activist Educator, Dr. Emmanuel Tabi

Journal of Multicultural Affairs

Drawing on data from a narrative multi-case study based in Toronto, Canada, this article discusses the lived experiences of one Black activist. Utilizing critical race theory, new literacy studies and the rhetoric of cultural production as theoretical frameworks, the article foregrounds the work of Ebele, a Toronto activist whose work supported the educational trajectories and emotional well-being of Black students, many of whom reported being marginalized in school. Through his creative labor, Ebele directly addressed the sociology of anti-Black racism that deeply influences the lives of Afrodiasporic people in Canada. This article continues the conversation about what it means to …

Relative Importance Of Radar Variables For Nowcasting Heavy Rainfall: A Machine Learning Approach, Yi Victor Wang, Seung Hee Kim, Geunsu Lyu, Choeng-Lyong Lee, Gyuwon Lee, Ki-Hong Min, Menas C. Kafatos

Institute for ECHO Articles and Research

Highly short-term forecasting, or nowcasting, of heavy rainfall due to rapidly evolving mesoscale convective systems (MCSs) is particularly challenging for traditional numerical weather prediction models. To overcome such a challenge, a growing number of studies have shown significant advantages of using machine learning (ML) modeling techniques with remote sensing data, especially weather radar data, for high-resolution rainfall nowcasting. To improve ML model performance, it is essential first and foremost to quantify the importance of radar variables and identify pertinent predictors of rainfall that can also be associated with domain knowledge. In this study, a set of MCS types consisting of …

Challenges And Measurements For Governance Of Modern Cyber Space Society, Pinghui Wang, Hongbin Pei, Junzhou Zhao, Tao Qin, Chao Shen, Dongliang Liu, Xiaohong Guan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of information technology has unprecedentedly created a prosperous cyber society and greatly enhanced productivity facilitated by social interaction. At the same time, many problems emerge in the cyber society, such as telecom fraud, privacy leakage, Internet pollution, and algorithmic discrimination. The problems bring new challenges to social order and security. In order to find the way of cyber society governance and promote the modernization of national governance, this paper first presents the analyses on the new problems encountered in the cyber society in three typical scenarios, i.e., identity governance, behavior governance, and algorithm governance, as well as …

Deepening Digital Technologies To Enable Modernization Of China’S Governance Of Health, Tara Qia Sun, Xia Feng, Yuntao Long, Zongben Xu

Bulletin of Chinese Academy of Sciences (Chinese Version)

One significant goal of science and technology innovation is to set our sights on the health and safety of the people. The rapid development of digital technologies provides multiple potentials and path to achieve the modernization of China's health governance. the role of digital technologies on enabling multiple stakeholders (i.e., hospitals, doctors, government, and social groups) to improve the supply capacity, the inclusiveness, fairness, friendliness, and convenience of health service. Second, we explore the four key issues of using digital technologies to enable the governance of health construction of digital health infrastructures, the factors affecting the adoption of digital technologies, …

Digital Technology Enables Construction Of National Governance Modernization, Yue Hao, Kaihua Chen, Jin Kang, Xiaoguang Yang, Chao Zhang, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

As digital technologies continue to be integrated into the whole process of economic and social development, promoting the modernization of digital technology-enabled national governance systems and capabilities has become an important way to seize the strategic initiative in the future world competitive landscape, and has attracted the attention of countries around the world. The rapid development of digital technologies such as big data collection, storage, processing, and analysis is constantly optimizing the organizational system structure of national governance, upgrading and perfecting the quality and methods of national governance personnel, and accelerating the process of making national governance efficient, scientific, intelligent …

Big Data Technology Enabling Legal Supervision, Qingjie Liu, Shuo Liu, Yirong Wu, Yueqiang Weng, Yihao Wen, Ming Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Legal supervision plays an important role in the national governance system and capacity. In the era of digital revolution, the rapid development of digital procuratorial work with big data legal supervision as the core promotes to reshape the legal supervision and governance system. In this study, the inherent need of legal supervision for active prosecution in the new era, and the innovative role of new public interest litigation in comprehensive social governance, are firstly analyzed. Then, the core meaning and reshaping role of big-data-enabling-legalsupervision and supervision-promoting-national-governance of digital prosecution are discussed. After summarizing the practical experiences and challenges of big …

Strengthen Fundamental Role Of Data Element Governance In National Governance Modernization, Kaihua Chen, Zhuo Feng, Rui Guo, Yue Hao, Jin Kang, Xiaoguang Yang, Chao Zhang, Binbin Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Data element governance is a key factor to promote the modernization of national governance in the digital era. By strengthening the deep integration of data factors and national governance, a new model of data-driven national governance can be formed, and the national governance can be made more scientific, refined, intelligent, and efficient. The US and European countries have continuously strengthened the top-level system design, technological innovation application, collaborative governance mechanism, and global governance cooperation of data element governance, which has effectively improved the level of data element governance and provided experience for China. Nevertheless, due to the virtuality of data …

Strategic Perspective Of Leveraging New Generation Information Technology To Enable Modernization Of Emergency Management, Haibo Zhang, Xinyu Dai, Depei Qian, Jian Lyu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The application and development of the new generation information technology is a vital support to realize the modernization of emergency management. At present, the new generation information technology such as big data and artificial intelligence has been widely used in natural disasters, safe production, and other fields. It has improved the monitoring and early warning, regulation and law enforcement, command and decision support, rescue, and social mobilization capabilities of governments, promoted the level of intrinsic safety of enterprises, provided important support for the precise prevention and control of the COVID-19, and increased the efficiency of China’s emergency management and sense …

Digital Technology Enables Modernization Of National Statistics, Zongben Xu, Yanyun Zhao, Liping Zhu, Guang Chen, Hongyun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The modernization of national statistics is part of the modernization of national governance. Digital technology has provided power for the transformation of statistical production mode, the improvement of statistical productivity, and the reconstruction of statistical production relations. Digital technology has become an important prerequisite for the promotion of statistical modernization reform. This study summarizes the international experience of digital technology enabling government statistics, the top-level design of national statistical legal system, and the importance of digital technology in promoting the modernization of statistics. This study also analyzes the main challenges existing in the current national statistics and data work. Finally, …

Study On Innovation Networks And Its Spillover Effect Of China’S New Energy Automobile Industry, Zhifei Xiong, Wenzhong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The network spillover effect of knowledge has been playing an increasingly significant role in the development of industrial innovation. The urban cooperation matrix of China’s new energy automobile industry is built based on new energy automobile patent data, and the structure and evolution process of China’s new energy automobile industry are depicted. On this basis, the spatial Dubin model (SDM) is used to calculate the network spillover effect, and its results are compared with the results of spillover effect based on the relationship of spatial contiguity and distance of cities. The results show that the innovation activities of China’s new …