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Full-Text Articles in Physical Sciences and Mathematics

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang Jul 2024

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …


Can Corporate Sustainability Performance (Csp) Overcome Indonesia's Corporate Debt Problems?, Johnson Ferry Febrian, Nora Sri Hendriyeni Jun 2024

Can Corporate Sustainability Performance (Csp) Overcome Indonesia's Corporate Debt Problems?, Johnson Ferry Febrian, Nora Sri Hendriyeni

Jurnal Akuntansi dan Keuangan Indonesia

Based on IMF publications (2022), Indonesian companies have a risky debt level that may cause bankruptcy, so companies are required to make leverage adjustments to return the debt to its optimal level. In recent years, corporate sustainability performance (CSP) practices have been proven to improve performance and overcome financial problems such as debt by integrating sustainability aspects into business processes. Based on stakeholder theory and trade-off theory, this study aims to examine the effect of CSP on leverage adjustment and the role of competitive advantage, equity mispricing, profitability, and firm size in moderating this relationship. This study used a sample …


Identifying Phytoremediation Performing Plant Species That Can Be Utilized In The Improvement Of Heavy Metal Contaminated Soils, Ashley Clark*, Samuel Mutiti May 2024

Identifying Phytoremediation Performing Plant Species That Can Be Utilized In The Improvement Of Heavy Metal Contaminated Soils, Ashley Clark*, Samuel Mutiti

Graduate Research Showcase

Heavy metal pollution is a problem associated with industrialization and development. Two major metals that are commonly mined and can enter the environment, which can jeopardize communities’ health, are copper (Cu) and lead (Pb). There are different options for reducing heavy metal pollution in the environment via remediation efforts, including physical, chemical, and biological methods. However, physical and chemical remediation can be costly and labor-intensive, making them unsuitable for regions that do not have the funds to utilize these practices. Biological remediation is a more cost-conservative practice that has been shown in many studies to be effective in the gradual …


Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd Apr 2024

Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd

Digital Initiatives Symposium

The ability to comprehend and communicate with text-based data is essential to future success in academics and employment, as evidenced in a recent survey from Bloomberg Research Services which shows that nearly 97% of survey respondents now use data analytics in their companies and 58% consider data and text mining a business analytics tool (https://www.sas.com/content/dam/SAS/bp_de/doc/studie/ba-st-the-current-state-of-business-analytics-2317022.pdf). This has fueled a substantial growth in text analysis research (involving the use of technology to analyze un- and semi-structured text data for valuable insights, trends, and patterns) across disciplines and a corresponding demand on academic libraries to support text analysis pedagogy and text analysis …


A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka Apr 2024

A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka

Cybersecurity Undergraduate Research Showcase

The internet needs secure forms of identity authentication to function properly, but identity authentication is not a core part of the internet’s architecture. Instead, approaches to identity verification vary, often using centralized stores of identity information that are targets of cyber attacks. Decentralized identity is a secure way to manage identity online that puts users’ identities in their own hands and that has the potential to become a core part of cybersecurity. However, decentralized identity technology is new and continually evolving, which makes implementing this technology in an organizational setting challenging. This paper suggests that, in the future, decentralized identity …


Enhanced Breast Cancer Tumor Classification Using Mobilenetv2: A Detailed Exploration On Image Intensity, Error Mitigation, And Streamlit-Driven Real-Time Deployment, Aaditya Surya, Aditya Keshary Shah, Subash Tarun Sasikumar, Jarnell Kabore Apr 2024

Enhanced Breast Cancer Tumor Classification Using Mobilenetv2: A Detailed Exploration On Image Intensity, Error Mitigation, And Streamlit-Driven Real-Time Deployment, Aaditya Surya, Aditya Keshary Shah, Subash Tarun Sasikumar, Jarnell Kabore

Butler Journal of Undergraduate Research

This research introduces a sophisticated transfer learning model based on Google’s MobileNetV2 for breast cancer tumor classification into normal, benign, and malignant categories, utilizing a dataset of 1576 ultrasound images (265 normal, 891 benign, 420 malignant). The model achieves an accuracy of 0.82, precision of 0.83, recall of 0.81, ROC-AUC of 0.94, PR-AUC of 0.88, and MCC of 0.74. It examines image intensity distributions and misclassification errors, offering improvements for future applications. Addressing dataset imbalances, the study ensures a generalizable model. This work, using a dataset from Baheya Hospital, Cairo, Egypt, compiled by Walid Al- Dhabyani and colleagues (2020), emphasizes …


Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk Apr 2024

Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk

SC Upstate Research Symposium

Purpose Statement: Several studies have shown that aerobic exercise can have a positive impact on alleviating symptoms experienced by individuals with Parkinson's disease (PD). Despite this evidence, the potential benefits of exercise for both PD patients and their care partners (PD dyad) remain unexplored. This research project investigates the effectiveness, therapeutic collaborations, and physical outcomes of a virtual reality (VR) tandem cycling program specifically designed for PD dyads.

Methods: Following approval from the Prisma Health Institutional Review Board, individuals with PD were identified and screened by clinical neurologists. The pre-testing measures for PD dyads (N=9) included emotional and cognitive status …


Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler Apr 2024

Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler

MS in Computer Science Project Reports

In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …


Artificial Sociality, Simone Natale, Iliana Depounti Apr 2024

Artificial Sociality, Simone Natale, Iliana Depounti

Human-Machine Communication

This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …


Phun With Phages: Discovering Novel Bacteriophages In The Soil, Julia Kutz, Ryan Dodds, Logan Dykstra, Taylor M. Rentschler, Emma Steinhardt, Megan Vangarven, Jacie Vanderwaal, Shayler Vangelder, Byron Noordewier, Sara S. Tolsma Apr 2024

Phun With Phages: Discovering Novel Bacteriophages In The Soil, Julia Kutz, Ryan Dodds, Logan Dykstra, Taylor M. Rentschler, Emma Steinhardt, Megan Vangarven, Jacie Vanderwaal, Shayler Vangelder, Byron Noordewier, Sara S. Tolsma

Celebration of Research

We used three bacterial hosts: Mycobacterium smegmatis, Microbacterium foliorum, and Gordonia terrae, to isolate novel bacteriophages from soil samples. We named these phages, created high titer lysates, and purified their DNA genomes. We have archived the high titer lysates at Northwestern College and the University of Pittsburgh. The genomes of three of our phages were sequences at the University of Pittsburgh and we will be sequencing the remaining genomes this summer. Additionally, we are planning to image our phages with transmission electron microscopy at the University of Iowa or Nebraska yet this semester.


Navigating Murky Waters: State-Level Strategies For Wetland Preservation And Tile Drainage Regulation After Sackett V. Epa, Caleb M. Swanson Apr 2024

Navigating Murky Waters: State-Level Strategies For Wetland Preservation And Tile Drainage Regulation After Sackett V. Epa, Caleb M. Swanson

Honors Thesis

Wetlands are some of the world’s most valuable ecosystems, serving as provisioners of species habitat, carbon sequestration, flood mitigation, water quality purification, and other ecosystem services. Human development has resulted in substantial wetland loss the world over. In the 1970s, the United States Congress passed the Clean Water Act, giving the EPA broad authority over wetland protection. However, in the summer of 2023, the United States Supreme Court decided Sackett v. EPA, limiting the EPA’s jurisdiction over wetlands to those indistinguishably connected to generally recognized “Waters of the United States” and removing federal protection for millions of acres of wetlands, …


Employing Ai To Enhance In-Class Role Playing Scenarios, Eric Fournier Apr 2024

Employing Ai To Enhance In-Class Role Playing Scenarios, Eric Fournier

Generative AI Teaching Activities

Role playing can deepen student’s engagement with course content and help them develop skills while learning course material. Students will use AI to develop their characters and help them craft compelling arguments in the role-play scenarios


Bibliography For "Earth Day Display: Planet Vs Plastics: A Book Display Increasing The Awareness Of The Harms Of Plastic In Our Ecosystem", Arianna Tillman, Isabella Piechota, Kalea Brown Apr 2024

Bibliography For "Earth Day Display: Planet Vs Plastics: A Book Display Increasing The Awareness Of The Harms Of Plastic In Our Ecosystem", Arianna Tillman, Isabella Piechota, Kalea Brown

Library Displays and Bibliographies

A bibliography created to accompany a display about Earth Day, sustainability, and the harms of plastic during April 2024 at the Leatherby Libraries at Chapman University.


Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia Apr 2024

Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia

Research Collection School Of Computing and Information Systems

The proliferation of smart personal devices and mobile internet access has fueled numerous advancements in on-demand transportation services. These services are facilitated by online digital platforms and range from providing rides to delivering products. Their influence is transforming transportation systems and leaving a mark on changing individual mobility, activity patterns, and consumption behaviors. For instance, on-demand transportation companies such as Uber, Lyft, Grab, and DiDi have become increasingly vital for meeting urban transportation needs by connecting available drivers with passengers in real time. The recent surge in door-to-door food delivery (e.g., Uber Eats, DoorDash, Meituan); grocery delivery (e.g., Amazon Fresh, …


“Making The Bed”: Challenging Ideologies Of Ownership, Nonlocality, And Romanticism In The Age Of The Anthropocene, Ainsley P. Foster Apr 2024

“Making The Bed”: Challenging Ideologies Of Ownership, Nonlocality, And Romanticism In The Age Of The Anthropocene, Ainsley P. Foster

Belmont University Research Symposium (BURS)

The current Age of the Anthropocene marks a recent and rapid transition into a period in climate history that is notably defined by human impact. Modern Western sentiments of grief, frustration, and romanticism as a result of the interplay between domestic and corporate spaces seem to culminate in an overall attitude of apathy and acceptance of the Age of the Anthropocene. Various art forms collaborate to create the current conversation of the causatory and reactionary relationship that humans have with the Anthropocene, offering interpretations of how individuals and corporations view ownership of and responsibilities to the environment. There is a …


Health And Healthcare: Designing For The Social Determinants Of Health And Blue Zones In North Nashville, Rebecca Tonguis, Honor Thomas, Olivia Hobbs Apr 2024

Health And Healthcare: Designing For The Social Determinants Of Health And Blue Zones In North Nashville, Rebecca Tonguis, Honor Thomas, Olivia Hobbs

Belmont University Research Symposium (BURS)

Owned by North Nashville’s First Community Church, a now empty site in the Osage-North Fisk neighborhood of North Nashville has been identified as a potential site for a new location of The Store, in addition to a community-centric architectural development based on the social determinants of health and informed by the principles behind Blue Zones, the locations with the highest lifespans in the world. Opened by Brad Paisley and Kimberly Williams-Paisley, The Store is a free grocery store that “allow[s] people to shop for their basic needs in a way that protects dignity and fosters hope”, for which North Nashville …


Mean Flow And Dispersion In The Western Mediterranean Sea From Drifter Observations, Helga Huntley, James Turbett, A.D. Kirwan, Jr., Pierre-Marie Poulain Apr 2024

Mean Flow And Dispersion In The Western Mediterranean Sea From Drifter Observations, Helga Huntley, James Turbett, A.D. Kirwan, Jr., Pierre-Marie Poulain

Faculty Scholarship for the College of Science & Mathematics

Currents in the ocean distribute water masses and everything floating in them. To understand how fast the water (and its flotsam) travels and how effectively it mixes, we need to study the flow statistics. There are two types of measurements of ocean currents: Eulerian measurements that look at how the ocean velocities change at a stationary point on the Earth; and Lagrangian measurements that follow a water mass. Dispersion and mixing is generally best captured by Lagrangian measurements. At the submesoscale (~10-1 – 10 km), the observational tool of choice are drifters, or floating buoys, tethered to a drogue that …


Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh Apr 2024

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …


Auditory Vigilance Decrement In Drivers Of A Partially Automated Vehicle: A Pilot Study Using A High-Fidelity Driving Simulator, Luca Brooks, Jeffrey Glassman, Yusuke Yamani Mar 2024

Auditory Vigilance Decrement In Drivers Of A Partially Automated Vehicle: A Pilot Study Using A High-Fidelity Driving Simulator, Luca Brooks, Jeffrey Glassman, Yusuke Yamani

Undergraduate Research Symposium

Vigilance decrement is the decline in the ability to monitor and detect behaviorally important signals over time, a phenomenon that can arise even after 30 minutes of watch (Mackworth, 1948). Recently, McCarley & Yamani (2021) found bias shifts, sensitivity losses, and attentional lapses contribute to vigilance decrement, but when each effect is isolated, there was little evidence that sensitivity loss affected vigilance decrement. With the introduction of partially autonomous vehicles, vigilance decrement may be problematic for drivers who must monitor the autonomous system for failures and takeover requests. Thus, this pilot study aims to extend McCarley and Yamani (2021) and …


Improving Educational Delivery And Content In Juvenile Detention Centers, Yomna Elmousalami Mar 2024

Improving Educational Delivery And Content In Juvenile Detention Centers, Yomna Elmousalami

Undergraduate Research Symposium

Students in juvenile detention centers have the greatest need to receive improvements in educational delivery and content; however, they are one of the “truly disadvantaged” populations in terms of receiving those improvements. This work presents a qualitative data analysis based on a focus group meeting with stakeholders at a local Juvenile Detention Center. The current educational system in juvenile detention centers is based on paper worksheets, single-room style teaching methods, outdated technology, and a shortage of textbooks and teachers. In addition, detained students typically have behavioral challenges that are deemed "undesired" in society. As a result, many students miss classes …


Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward Mar 2024

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward

Masters Theses

Elevation is a foundational driver of salt marsh morphology. Elevation governs inundation and hydrological patterns, vegetation distribution, and soil health. Anthropogenic impacts at grand scales (e.g., rising sea levels) and local scales (e.g., infrastructure) have altered the elevation of the salt marsh surface, changing the topography and morphology of these ecosystems. This study establishes and assesses means to document and analyze these impacts using Unoccupied Aerial Vehicle (UAV) based remote sensing to model platform topography. This thesis’s first and primary study presents and compares methods of producing high-resolution digital terrain models (DTMs) with UAV-based Digital Aerial Photogrammetry (DAP) and Light …


Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, Arun M. Saranathan Mar 2024

Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, Arun M. Saranathan

Doctoral Dissertations

The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has proven to be an invaluable tool for the mineralogical analysis of the Martian surface. It has been crucial in identifying and mapping the spatial extents of various minerals. Primarily, the identification and mapping of these mineral spectral-shapes have been performed manually. Given the size of the CRISM image dataset, manual analysis of the full dataset would be arduous/infeasible. This dissertation attempts to address this issue by describing an (machine learning based) automated processing pipeline for CRISM data that can be used to identify and map the unique mineral signatures present in …


Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha Mar 2024

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …


Coomassie Brilliant Blue Dye As A Method For Analyzing Fracture Markings In Bone, Abigail Hoffmeister, David Harutunyan, Matthew Aizawa, Everett Baker, Brandon Mendoza, Chase Freeman, Siran Iskanian Mar 2024

Coomassie Brilliant Blue Dye As A Method For Analyzing Fracture Markings In Bone, Abigail Hoffmeister, David Harutunyan, Matthew Aizawa, Everett Baker, Brandon Mendoza, Chase Freeman, Siran Iskanian

Seaver College Research And Scholarly Achievement Symposium

Coomassie Brilliant Blue Dye is a dye commonly used to stain proteins. Because of its ability to adhere to proteins, this research has focused on perfecting a method of dyeing a fractured flat bone in order to most accurately observe and analyze fracture markings within the trabecular layer. Stereoscopic microscopy was the chosen technique of analysis for this research because of its proven effectiveness in glass and ceramic fractography to observe varying depths. In order to most effectively apply stereoscopic microscopy to this research, the following variables were manipulated to maximize color contrast in the trabecular layer in order to …


Embedding Information Literacy Practices In An Upper Division Chemistry Lab Class At A University In The United States Of America, Christopher Randles, Matilynn Lamm, Katy A. Miller Mar 2024

Embedding Information Literacy Practices In An Upper Division Chemistry Lab Class At A University In The United States Of America, Christopher Randles, Matilynn Lamm, Katy A. Miller

Faculty Scholarship and Creative Works

This poster discusses the implementation of information literacy into an upper division inorganic chemistry lab and the strategies employed to develop students’ information literacy in the laboratory course.


Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany Mar 2024

Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany

Conference papers

Gendered language is the use of words that denote an individual's gender. This can be explicit where the gender is evident in the actual word used, e.g. mother, she, man, but it can also be implicit where social roles or behaviours can signal an individual's gender - for example, expectations that women display communal traits (e.g., affectionate, caring, gentle) and men display agentic traits (e.g., assertive, competitive, decisive). The use of gendered language in NLP systems can perpetuate gender stereotypes and bias. This paper proposes an approach to generating gendered language datasets using ChatGPT which will provide data for data-driven …


Strengthen Establishment Of Application-Supported Major Science And Technology Infrastructure To Enhance Basic Capacity Of Science And Technology For High-Quality Development, Congli Huang, Feite Zhou, Xiang Xu, Lingling Zhang Mar 2024

Strengthen Establishment Of Application-Supported Major Science And Technology Infrastructure To Enhance Basic Capacity Of Science And Technology For High-Quality Development, Congli Huang, Feite Zhou, Xiang Xu, Lingling Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

From “Two Bombs and One Satellite” to Five-hundred-meter Aperture Spherical Radio Telescope (FAST), from ground zero to the center stage of the world, China has unswervingly followed the path of independent innovation with distinctive characteristics. After the development of nearly half a century, breakthroughs have been made in several key areas. The position, implication, and classification of major scientific and technological infrastructures are constantly changing under the new situation. Based on an in-depth investigation of major scientific and technological infrastructure such as high-efficiency and low-carbon gas turbine research facility, it is believed that the construction of application-supported major scientific and …


Yulong Snow Mountain National Field Observation And Research Station For Cryosphere And Sustainable Development Mar 2024

Yulong Snow Mountain National Field Observation And Research Station For Cryosphere And Sustainable Development

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.


Research On Boundary Reconstruction And Government Supervision Strategy For Digital Platform, Jichang Dong, Feiyang Zhan, Wei Li, Jinlu Guo, Ying Liu Mar 2024

Research On Boundary Reconstruction And Government Supervision Strategy For Digital Platform, Jichang Dong, Feiyang Zhan, Wei Li, Jinlu Guo, Ying Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Digital platform is the most important form of organization in the digital era. How to clarify the boundary between platform autonomy and government regulation so as to exert the order maintenance function of platforms effectively is the key issue in the region of the digital economy governance. This study firstly introduces the basic model of platform autonomy and the regulatory challenges it faces, basing on the background of the emergence of digital platform autonomy. Secondly, through a comparative analysis of the regulatory theories and legal policies of the digital platform autonomy in the European Union and the United States, this …


Long Term Monitoring And Research On Temperate Glaciers And Related Environments Provide Technological Support For Regional Sustainable Development, Shijin Wang, Shichang Kang, Tuo Chen, Yuanqing He, Meixue Yang, Quanlian Li, Hewen Niu, Tao Pu, Binglin Zhang, Yanjun Che, Wanqin Guo, Xingguo Yan, Xinggang Ma, Rongjun Wang Mar 2024

Long Term Monitoring And Research On Temperate Glaciers And Related Environments Provide Technological Support For Regional Sustainable Development, Shijin Wang, Shichang Kang, Tuo Chen, Yuanqing He, Meixue Yang, Quanlian Li, Hewen Niu, Tao Pu, Binglin Zhang, Yanjun Che, Wanqin Guo, Xingguo Yan, Xinggang Ma, Rongjun Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

After nearly 20 years of development, the Yulong Snow Mountain National Field Observation and Research Station for Cryosphere and Sustainable Development, Chinese Academy of Sciences has built a field comprehensive observation system and data online visualization platform of temperate glacier and environment integrating observation, research, demonstration, and service. Based on the long-term positioning monitoring of temperate glaciers and the environment, and focusing on key scientific issues related to sustainable development in temperate glacier areas, this study deeply analyzes the mechanism of changes in temperate glaciers, reveals the hydrological, microorganisms, and climatic effects of temperate glacier change, evaluates the effectiveness of …