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Augmenting Low-Resource Text Classification With Graph-Grounded Pre-Training And Prompting, Zhihao Wen, Yuan Fang Jul 2023

Augmenting Low-Resource Text Classification With Graph-Grounded Pre-Training And Prompting, Zhihao Wen, Yuan Fang

Research Collection School Of Computing and Information Systems

ext classification is a fundamental problem in information retrieval with many real-world applications, such as predicting the topics of online articles and the categories of e-commerce product descriptions. However, low-resource text classification, with few or no labeled samples, poses a serious concern for supervised learning. Meanwhile, many text data are inherently grounded on a network structure, such as a hyperlink/citation network for online articles, and a user-item purchase network for e-commerce products. These graph structures capture rich semantic relationships, which can potentially augment low-resource text classification. In this paper, we propose a novel model called Graph-Grounded Pre-training and Prompting (G2P2) …

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Do-Good: Towards Distribution Shift Evaluation For Pre-Trained Visual Document Understanding Models, Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu Jul 2023

Do-Good: Towards Distribution Shift Evaluation For Pre-Trained Visual Document Understanding Models, Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu

Research Collection School Of Computing and Information Systems

Numerous pre-training techniques for visual document understanding (VDU) have recently shown substantial improvements in performance across a wide range of document tasks. However, these pre-trained VDU models cannot guarantee continued success when the distribution of test data differs from the distribution of training data. In this paper, to investigate how robust existing pre-trained VDU models are to various distribution shifts, we first develop an out-of-distribution (OOD) benchmark termed Do-GOOD for the fine-Grained analysis on Document image-related tasks specifically. The Do-GOOD benchmark defines the underlying mechanisms that result in different distribution shifts and contains 9 OOD datasets covering 3 VDU related …

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Silent Compiler Bug De-Duplication Via Three-Dimensional Analysis, Chen Yang, Junjie Chen, Xingyu Fan, Jiajun Jiang, Jun Sun Jul 2023

Silent Compiler Bug De-Duplication Via Three-Dimensional Analysis, Chen Yang, Junjie Chen, Xingyu Fan, Jiajun Jiang, Jun Sun

Research Collection School Of Computing and Information Systems

Compiler testing is an important task for assuring the quality of compilers, but investigating test failures is very time-consuming. This is because many test failures are caused by the same compiler bug (known as bug duplication problem). In particular, this problem becomes much more challenging on silent compiler bugs (also called wrong code bugs), since these bugs can provide little information (unlike crash bugs that can produce error messages) for bug de-duplication. In this work, we propose a novel technique (called D3) to solve the duplication problem on silent compiler bugs. Its key insight is to characterize the silent bugs …

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Forward/Backward And Content Private Dsse For Spatial Keyword Queries, Xiangyu Wang, Jianfeng Ma, Ximeng Liu, Yinbin Miao, Yang Liu, Robert H. Deng Jul 2023

Forward/Backward And Content Private Dsse For Spatial Keyword Queries, Xiangyu Wang, Jianfeng Ma, Ximeng Liu, Yinbin Miao, Yang Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

Spatial keyword queries are attractive techniques that have been widely deployed in real-life applications in recent years, such as social networks and location-based services. However, existing solutions neither support dynamic update nor satisfy the privacy requirements in real applications. In this article, we investigate the problem of Dynamic Searchable Symmetric Encryption (DSSE) for spatial keyword queries. First, we formulate the definition of DSSE for spatial keyword queries (namely, DSSESKQ) and extend the DSSE leakage functions to capture the leakages in DSSESKQ. Then, we present a practical DSSESKQ construction based on geometric prefix encoding inverted-index and encrypted bitmap. Rigorous security analysis …

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Fesa: Automatic Federated Swarm Attestation On Dynamic Large-Scale Iot Devices, Boyu Kuang, Anmin Fu, Yansong Gao, Yuqing Zhang, Jianying Zhou, Robert H. Deng Jul 2023

Fesa: Automatic Federated Swarm Attestation On Dynamic Large-Scale Iot Devices, Boyu Kuang, Anmin Fu, Yansong Gao, Yuqing Zhang, Jianying Zhou, Robert H. Deng

Research Collection School Of Computing and Information Systems

Swarm attestation, as an important branch of Remote Attestation (RA), enables a trusted party (verifier) to verify the security states of multiple devices (provers) in a large network (swarm) simultaneously via a challenge-response mechanism. However, swarm attestation suffers from significant redundancy overhead since all devices in the swarm need to be attested in each attestation round. Besides, it faces challenges such as verifier-impersonation Denial of Service (DoS) attacks, highly dynamic networks, transient & self-relocating malware, and Time-Of-Check-Time-Of-Use (TOCTOU) attacks. In this paper, considering not only the detection accuracy but also the privacy of swarm owners in real Internet of Things …

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Discriminative Reasoning With Sparse Event Representation For Document-Level Event-Event Relation Extraction, Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen Jul 2023

Discriminative Reasoning With Sparse Event Representation For Document-Level Event-Event Relation Extraction, Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen

Research Collection School Of Computing and Information Systems

Document-level Event-Event Relation Extraction (DERE) aims to extract relations between events in a document. It challenges conventional sentence-level task (SERE) with difficult long-text understanding. In this paper, we propose a novel DERE model (SENDIR) for better document-level reasoning. Different from existing works that build an event graph via linguistic tools, SENDIR does not require any prior knowledge. The basic idea is to discriminate event pairs in the same sentence or span multiple sentences by assuming their different information density: 1) low density in the document suggests sparse attention to skip irrelevant information. Our module 1 designs various types of attention …

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Is Web3 Better Than Web2 For Investors? Evidence From Domain Name Auctions, Ping Fan Ke, Yi Meng Lau, Daniel Varghese Hanley Jul 2023

Is Web3 Better Than Web2 For Investors? Evidence From Domain Name Auctions, Ping Fan Ke, Yi Meng Lau, Daniel Varghese Hanley

Research Collection School Of Computing and Information Systems

Blockchain-based assets are commonly believed to attract new investors. To investigate this claim, we compared investor preferences for Web2 and Web3 domain name auctions by analyzing daily auction patterns in Namecheap and OpenSea. Our results indicate that Web3 platforms may attract extreme investors with low or high values as a niche market. We found a significantly higher number of bids per auction, higher average bid prices, and greater price spreads on OpenSea, but a significantly lower number of unique bidders per auction. Our findings highlight the importance of considering the auction platform's characteristics and asset context when evaluating bid patterns …

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Generative Ai And Chatgpt Impact On Technostress Of Teachers, Xuenan Huo, Keng Siau Jul 2023

Generative Ai And Chatgpt Impact On Technostress Of Teachers, Xuenan Huo, Keng Siau

Research Collection School Of Computing and Information Systems

Generative AI, such as ChatGPT, is a disruptive technology with significant impacts on education. While it has the potential to transform the delivery and accessibility of education, it can also undermine educational effectiveness by facilitating academic honesty and creating technostress for educators. This study aims to (i) evaluate the extent to which Generative AI, such as ChatGPT, brings technostress to teachers and (ii) how Generative AI changes teachers' professional identities and the technostress that results from such changes. We hypothesize that techno-eustress and techno-distress are determined by three types of self-discrepancies concerning professional identity construction: actual-ought, actual-ideal, and ought-ideal discrepancies. …

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Marketing In Metaverse: Sales-Avatar Visual Features On Customer Trust, Yuxin Liu, Keng Siau Jul 2023

Marketing In Metaverse: Sales-Avatar Visual Features On Customer Trust, Yuxin Liu, Keng Siau

Research Collection School Of Computing and Information Systems

The metaverse wave is sweeping across the world. Virtual shopping promises a bright future and has the potential to provide customers with an immersive and realistic shopping experience anytime and anywhere. Salesavatars are critical in customer trust development in virtual shopping in the metaverse by directly interacting with customers. Considering the virtual characteristics of the metaverse and the anonymity of salesavatars, this research investigates the effect of salesavatars' genders and ages on customers' trust in the metaverse through the lens of first impression formation. Two dimensions of facial first impression, perceived facial trustworthiness and perceived facial dominance, will be studied …

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Strategy‑Aware Bundle Recommender System, Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat‑Seng Chua Jul 2023

Strategy‑Aware Bundle Recommender System, Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

A bundle is a group of items that provides improved services to users and increased profits for sellers. However, locating the desired bundles that match the users' tastes still challenges us, due to the sparsity issue. Despite the remarkable performance of existing approaches, we argue that they seldom consider the bundling strategy (i.e., how the items within a bundle are associated with each other) in the bundle recommendation, resulting in the suboptimal user and bundle representations for their interaction prediction. Therefore, we propose to model the strategy-aware user and bundle representations for the bundle recommendation.Towards this end, we develop a …

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Multi-Target Backdoor Attacks For Code Pre-Trained Models, Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu Jul 2023

Multi-Target Backdoor Attacks For Code Pre-Trained Models, Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu

Research Collection School Of Computing and Information Systems

Backdoor attacks for neural code models have gained considerable attention due to the advancement of code intelligence. However, most existing works insert triggers into task-specific data for code-related downstream tasks, thereby limiting the scope of attacks. Moreover, the majority of attacks for pre-trained models are designed for understanding tasks. In this paper, we propose task-agnostic backdoor attacks for code pre-trained models. Our backdoored model is pre-trained with two learning strategies (i.e., Poisoned Seq2Seq learning and token representation learning) to support the multi-target attack of downstream code understanding and generation tasks. During the deployment phase, the implanted backdoors in the victim …

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Beyond "Protected" And "Private": An Empirical Security Analysis Of Custom Function Modifiers In Smart Contracts, Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang Jul 2023

Beyond "Protected" And "Private": An Empirical Security Analysis Of Custom Function Modifiers In Smart Contracts, Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

A smart contract is a piece of application-layer code running on blockchain ledgers and it provides programmatic logic via transaction-based execution of pre-defined functions. Smart contract functions are by default invokable by any party. To safeguard them, the mainstream smart contract language, i.e., Solidity of the popular Ethereum blockchain, proposed a unique language-level keyword called “modifier,” which allows developers to define custom function access control policies beyond the traditional “protected” and “private” modifiers in classic programming languages.In this paper, we aim to conduct a large-scale security analysis of the modifiers used in real-world Ethereum smart contracts. To achieve this, we …

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Learning Deep Time-Index Models For Time Series Forecasting, Jiale Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi Jul 2023

Learning Deep Time-Index Models For Time Series Forecasting, Jiale Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

Research Collection School Of Computing and Information Systems

Deep learning has been actively applied to time series forecasting, leading to a deluge of new methods, belonging to the class of historicalvalue models. Yet, despite the attractive properties of time-index models, such as being able to model the continuous nature of underlying time series dynamics, little attention has been given to them. Indeed, while naive deep timeindex models are far more expressive than the manually predefined function representations of classical time-index models, they are inadequate for forecasting, being unable to generalize to unseen time steps due to the lack of inductive bias. In this paper, we propose DeepTime, a …

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18 Million Links In Commit Messages: Purpose, Evolution, And Decay, Tao Xiao, Sebastian Baltes, Hideaki Hata, Christoph Treude, Raula Kula, Takashi Ishio, Kenichi Matsumoto Jul 2023

18 Million Links In Commit Messages: Purpose, Evolution, And Decay, Tao Xiao, Sebastian Baltes, Hideaki Hata, Christoph Treude, Raula Kula, Takashi Ishio, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

Commit messages contain diverse and valuable types of knowledge in all aspects of software maintenance and evolution. Links are an example of such knowledge. Previous work on “9.6 million links in source code comments” showed that links are prone to decay, become outdated, and lack bidirectional traceability. We conducted a large-scale study of 18,201,165 links from commits in 23,110 GitHub repositories to investigate whether they suffer the same fate. Results show that referencing external resources is prevalent and that the most frequent domains other than github.com are the external domains of Stack Overflow and Google Code. Similarly, links serve as …

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Knowledge-Enhanced Mixed-Initiative Dialogue System For Emotional Support Conversations, Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam Jul 2023

Knowledge-Enhanced Mixed-Initiative Dialogue System For Emotional Support Conversations, Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam

Research Collection School Of Computing and Information Systems

Unlike empathetic dialogues, the system in emotional support conversations (ESC) is expected to not only convey empathy for comforting the help-seeker, but also proactively assist in exploring and addressing their problems during the conversation. In this work, we study the problem of mixed-initiative ESC where the user and system can both take the initiative in leading the conversation. Specifically, we conduct a novel analysis on mixed-initiative ESC systems with a tailor-designed schema that divides utterances into different types with speaker roles and initiative types. Four emotional support metrics are proposed to evaluate the mixed-initiative interactions. The analysis reveals the necessity …

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Peerda: Data Augmentation Via Modeling Peer Relation For Span Identification Tasks, Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing Jul 2023

Peerda: Data Augmentation Via Modeling Peer Relation For Span Identification Tasks, Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing

Research Collection School Of Computing and Information Systems

Span identification aims at identifying specific text spans from text input and classifying them into pre-defined categories. Different from previous works that merely leverage the Subordinate (SUB) relation (i.e. if a span is an instance of a certain category) to train models, this paper for the first time explores the Peer (PR) relation, which indicates that two spans are instances of the same category and share similar features. Specifically, a novel Peer Data Augmentation (PeerDA) approach is proposed which employs span pairs with the PR relation as the augmentation data for training. PeerDA has two unique advantages: (1) There are …

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Product Question Answering In E-Commerce: A Survey, Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam Jul 2023

Product Question Answering In E-Commerce: A Survey, Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam

Research Collection School Of Computing and Information Systems

Product question answering (PQA), aiming to automatically provide instant responses to customer’s questions in E-Commerce platforms, has drawn increasing attention in recent years. Compared with typical QA problems, PQA exhibits unique challenges such as the subjectivity and reliability of user-generated contents in E-commerce platforms. Therefore, various problem settings and novel methods have been proposed to capture these special characteristics. In this paper, we aim to systematically review existing research efforts on PQA. Specifically, we categorize PQA studies into four problem settings in terms of the form of provided answers. We analyze the pros and cons, as well as present existing …

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Goal Awareness For Conversational Ai: Proactivity, Non-Collaborativity, And Beyond, Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua Jul 2023

Goal Awareness For Conversational Ai: Proactivity, Non-Collaborativity, And Beyond, Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Conversational systems are envisioned to provide social support or functional service to human users via natural language interactions. Conventional conversation researches mainly focus on the responseability of the system, such as dialogue context understanding and response generation, but overlooks the design of an essential property in intelligent conversations, i.e., goal awareness. The awareness of goals means the state of not only being responsive to the users but also aware of the target conversational goal and capable of leading the conversation towards the goal, which is a significant step towards higher-level intelligence and artificial consciousness. It can not only largely improve …

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Augmenting Fake Content Detection In Online Platforms: A Domain Adaptive Transfer Learning Via Adversarial Training Approach, Ka Chung Ng, Ping Fan Ke, Mike K. P. So, Kar Yan Tam Jul 2023

Augmenting Fake Content Detection In Online Platforms: A Domain Adaptive Transfer Learning Via Adversarial Training Approach, Ka Chung Ng, Ping Fan Ke, Mike K. P. So, Kar Yan Tam

Research Collection School Of Computing and Information Systems

Online platforms are experimenting with interventions such as content screening to moderate the effects of fake, biased, and incensing content. Yet, online platforms face an operational challenge in implementing machine learning algorithms for managing online content due to the labeling problem, where labeled data used for model training are limited and costly to obtain. To address this issue, we propose a domain adaptive transfer learning via adversarial training approach to augment fake content detection with collective human intelligence. We first start with a source domain dataset containing deceptive and trustworthy general news constructed from a large collection of labeled news …

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Moderating Role Of Financial Characteristics In Sectoral Performance During The Period Of Economic Disruption: Evidence From The Covid-19 Pandemic, Himanshu Joshi, Bhavya Joshi Jul 2023

Moderating Role Of Financial Characteristics In Sectoral Performance During The Period Of Economic Disruption: Evidence From The Covid-19 Pandemic, Himanshu Joshi, Bhavya Joshi

The Indonesian Capital Market Review

The exogenous shock of the Covid-19 pandemic disrupted the equity market worldwide, however its impact on the sectoral returns varied. Sectors like aviation, hospitality, and retail were the worst affected because of imposed lockdowns. Contrarily, technology, e-commerce, pharmaceutical, and biotech sectors thrived for the same reasons. The present study evaluates the impact of covid-19 disruption on firms from diverse sectors and examines the moderating effect of firm’s financial characteristics on sectoral performance by establishing a causal relationship between the firm's cumulative abnormal returns generated during the various phases of the pandemic and their sectoral and financial characteristics using data for …

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Role Of Mri Zero Echo Time In The Evaluation Of Bone Lesions, Huda Qassim, Mohammed Kadhim Jul 2023

Role Of Mri Zero Echo Time In The Evaluation Of Bone Lesions, Huda Qassim, Mohammed Kadhim

Iraqi Postgraduate Medical Journal

BACKGROUND: Assessment of bone tumors needs more than one imaging modality. Zero echo time (ZTE) MRI is                  a high-resolution and rapid sequence. It gives an enhanced bone contrast in MR imaging and may obviate further need for CT and its attendant ionizing radiation OBJECTIVE: To evaluate clinical applicability of zero time echo magnetic resonance imaging in the assessmentand evaluation of bone lesions (tumors and tumor like conditions) in comparison with CT. PATIENTS AND METHODS: 21 patients (7 males and 14 females) were included. ZTE MRI was done for all patients included in              the study. Quality assessment of bone findings was …

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Exploring The Influence Of Neutrophil-Lymphocyte Ratio, D-Dimer, C - Reactive Protein, And Ferritin On Outcome Prediction Of Severely-Ill Patients With Covid-19 In Al-Sader Medical City In Al-Najaf City, Iraq, Ameer Sukar Mezedawee, Safaa Khudair Jul 2023

Exploring The Influence Of Neutrophil-Lymphocyte Ratio, D-Dimer, C - Reactive Protein, And Ferritin On Outcome Prediction Of Severely-Ill Patients With Covid-19 In Al-Sader Medical City In Al-Najaf City, Iraq, Ameer Sukar Mezedawee, Safaa Khudair

Iraqi Postgraduate Medical Journal

BACKGROUND: Coronaviruses are microorganisms of animal and mankind. The WHO categorized the disease    as COVID-19 in February, 2020.  Various laboratory markers can support the identification and follow up of COVID-19 case. Current evidence proposes a prognostic impact of neutrophil-lymphocyte ratio (NLR) in diverse inflammatory syndromes. Hence, it is rationalized to investigate its role as a prognostic biomarker in severe COVID‐19 pneumonia. OBJECTIVE: The objective is to analyze the effect of NLR, D-dimer, CRP, and ferritin role in the prediction of consequence of inpatients with severe COVID-19. METHOD OF THE STUDY: A retrospective cross-sectional study was conducted on 96 patients aged …

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Internet Addiction Among High School Students In Baghdad City, Samer Mohammed, Mazin. Al-Rubaey Jul 2023

Internet Addiction Among High School Students In Baghdad City, Samer Mohammed, Mazin. Al-Rubaey

Iraqi Postgraduate Medical Journal

BACKGROUND: The escalating need for the Internet is becoming a concern globally, various agents made                       the internet use addictive to all ages. Recently internet addiction is being considered as a psychiatric disorderOBJECTIVE: To measure high school students' prevalence of internet addiction and its association with internet activities, socio-demographic factors and academic performance.METHODS:A convenient sample of 526 students from 6 high schools in Baghdad. Using internet addiction test and a questionnaire to enquire about the socio-demographic factors from November 2020 till February 2021.RESULT: Internet addiction prevalence was 45.82%, internet addiction severity was (13.3 % mild, 23.4 % moderate and 9.1 % …

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Anatomical Changes Of Intervertebral Disc With Age: Mri Study Using Quantitative Measure, Zahraa Tabоo, Eman Sheet, Waleed Kasim Jul 2023

Anatomical Changes Of Intervertebral Disc With Age: Mri Study Using Quantitative Measure, Zahraa Tabоo, Eman Sheet, Waleed Kasim

Iraqi Postgraduate Medical Journal

BACKGROUND: The intervertebral cartilage supports the human body structurally. It absorbs shock and allows movement between adjacent vertebrae1. This framework deteriorates with age, a physiological consequence of                  the normal aging process.OBJECTIVE:To assess alterations that occur between vertebrae of the spinal column from L1 to L5 and to study                 the changes in vertebral height, occurrence of osteophytes in the lumbar spine vertebrae as well as                     the prevalence of ligamentum flavum hypertrophy and other signs of degeneration according to the age and sex.PATIENTS AND METHODS:  The cross sectional study was performed  by  examining (600) patients suffering from a sharp pain in               the …

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Capacity And Communication: Addressing Barriers To Agricultural Innovations In The Middle Rio Grande Basin, Corina Michelle Gomez Jul 2023

Capacity And Communication: Addressing Barriers To Agricultural Innovations In The Middle Rio Grande Basin, Corina Michelle Gomez

Water Resources Professional Project Reports

Farmers and ranchers across the American Southwest are battling intense droughts, leaving them with decreasing water supplies to irrigate their fields or perform the necessary activities their operations require. These shortages have placed mounting pressures on agricultural water users and water managers alike to seek techniques and innovations that will stretch water supplies further and help them survive into the future. In an area like the Middle Rio Grande (MRG) basin in central New Mexico, for many farmers agriculture is more than a way to generate income, it’s a way of life. It is closely intertwined with the history of …

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Irrigation And Innovation: Understanding Barriers To Innovative Actions To Manage Drought On Middle Rio Grande Farms, Eleanor C. Hasenbeck Jul 2023

Irrigation And Innovation: Understanding Barriers To Innovative Actions To Manage Drought On Middle Rio Grande Farms, Eleanor C. Hasenbeck

Water Resources Professional Project Reports

The Rio Grande has irrigated agricultural land in central New Mexico since time immemorial. Today, agriculture in New Mexico’s Middle Rio Grande valley is adapting to an increasingly scarce water supply due to long-term drought and climate change (Dunbar et al., 2022). As supply is decreasing, demands are increasing because of several factors: an increase in evapotranspiration (Dunbar et al., 2022); population growth in the Middle Rio Grande valley (NM LFC, 2021); and legal obligations to provide water for endangered species and to Texas and Mexico (NM ISC, 2017). Agriculture is largest water use by sector in the Rio Grande …

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Motivations And Barriers To Participation In Community Outreach And Engagement Among Environmental And Water Resources Students And Postdocs, Sydney Donohue Jul 2023

Motivations And Barriers To Participation In Community Outreach And Engagement Among Environmental And Water Resources Students And Postdocs, Sydney Donohue

Water Resources Professional Project Reports

There is a need to utilize knowledge exchange avenues between academia and non-academic communities in order to advance environmental science and engineering education. Many universities and research centers attempt to enhance knowledge sharing by organizing broader impact outreach events such as lab tours, demonstrations, hands-on activities, and public presentations. Anecdotally, at two NSF-funded centers, the Transformation Network and Center for Water and the Environment, we have seen that only the same small subset of students and postdocs frequently participate while over 70% of those invited never volunteer. This study aims to survey environmentally-focused undergraduate students, graduate students, and postdocs’ motivations …

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Long-Term Monitoring And Maintenance Plan For The Mixed Waste Landfill – March 2012, Revision 2, July 2023, Sandia National Laboratories/Nm Snl Jul 2023

Long-Term Monitoring And Maintenance Plan For The Mixed Waste Landfill – March 2012, Revision 2, July 2023, Sandia National Laboratories/Nm Snl

Facilities-Units

The New Mexico Environment Department approved the Class 2 Permit Modification Request (23-024) to plug and abandon monitoring well MWL-MW4. The proposed revisions to the LTMMP have been incorporated as Revision 2 (July 2023) of the Long-Term Monitoring and Maintenance Plan for the Mixed Waste Landfill and replaces Revision 1 (dated February 2022). 268 pages.

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College Education Students' Learning Experiences On The Advent Of Online Distance Education In The Philippines: A Phenomenological Study, Lalin A. Tuguic, Henry P. Bilan Jul 2023

College Education Students' Learning Experiences On The Advent Of Online Distance Education In The Philippines: A Phenomenological Study, Lalin A. Tuguic, Henry P. Bilan

The Qualitative Report

The introduction of online distance learning in the Philippines was like the emergence of an uninvited houseguest who refused to leave. This pandemic disrupted the status quo of education, and as a result, institutions resorted to using online distance learning methods. The purpose of this research was to explore the home-based learning experiences of college education students. Phenomenological interviews were used to collect information from 15 participants of the study. Overall, a text analysis was structured around their perspectives on learning during the COVID-19 pandemic and found significant themes related to online distance education like methods and means regarding how …

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Falling Into Gaps: Navigating Research Practices Across Global South And Global North, A Conversation, Sarah Ahmed, Navjotpal Kaur, Malida Mooken, Sumeet Sekhon Jul 2023

Falling Into Gaps: Navigating Research Practices Across Global South And Global North, A Conversation, Sarah Ahmed, Navjotpal Kaur, Malida Mooken, Sumeet Sekhon

The Qualitative Report

This article is derived from conversations among four early career researchers on epistemic inequalities and challenges faced in universities, more especially in carrying out research. The conversations took place in the context of a qualitative research laboratory centered on the global South. We share experiences and issues associated with being trained as researchers in the global North and doing fieldwork in the global South. We also reflect on dominant structures and processes in universities and the marginalization of “other” or “alternative” knowledge systems. Whilst recognising the many ongoing and parallel academic discussions on such issues, we posit that there remains …

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