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Articles 5161 - 5190 of 65118
Full-Text Articles in Entire DC Network
Artificial Intelligence In Science And Society: The Vision Of Usern, Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro Da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah
Artificial Intelligence In Science And Society: The Vision Of Usern, Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro Da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah
All Peer-Reviewed Publications
The recent rise in relevance and diffusion of Artificial Intelligence (AI)-based systems and the increasing number and power of applications of AI methods invites a profound reflection on the impact of these innovative systems on scientific research and society at large. The Universal Scientific Education and Research Network (USERN), an organization that promotes initiatives to support interdisciplinary science and education across borders and actively works to improve science policy, collects here the vision of its Advisory Board members, together with a selection of AI experts, to summarize how we see developments in this exciting technology impacting science and society in …
Risk Spillover Effect Of China-Asean Supply Chains: Insights Of Industrial Transfer, Zeyang Bian, Yuning Zhang, Keng Siau, Yaqian Zhang, Jianjia He
Risk Spillover Effect Of China-Asean Supply Chains: Insights Of Industrial Transfer, Zeyang Bian, Yuning Zhang, Keng Siau, Yaqian Zhang, Jianjia He
Research Collection School Of Computing and Information Systems
As labour costs in China increase, labour-intensive industries are migrating to ASEAN countries, attracted by lower labour costs and market potential. This shift not only affects the economies of China and ASEAN but also reshapes the global manufacturing landscape. This paper investigates the correlation and spillover of supply chain risks using production exposure indicators derived from inter-country input-output data and the R-Vine Copula model. We assess the risk spillover of each country within the global supply chain. Our findings indicate that industrial relocation can significantly alter supply chain structures, thereby affecting the concentration and direction of risks. While China's role …
Forecasting Equity Betas Using Option-Implied Moments, Ivan Kolesnikov
Forecasting Equity Betas Using Option-Implied Moments, Ivan Kolesnikov
CMC Senior Theses
Traditional beta estimates are constructed from historical stock‑and‑market returns and therefore adjust only as fast as realized data accrue. This thesis investigates whether the forward‑looking information embedded in equity‑option prices can enhance beta forecasts. Using near‑end‑of‑day quotes for 236 S&P 500 firms between 2007 and 2024, I extract risk‑neutral variance and skewness, construct five alternative beta estimators (historical, option‑implied, and three hybrids), and evaluate them against realized betas over six‑, twelve‑, and twenty‑four‑month windows. Rolling‑OLS beta remains the most accurate benchmark at short horizons, yet option‑implied moments add economically and statistically significant value when systematic exposure is expected to change …
Neural Correlates Of Attentional Biases In Dietary Choice: Role Of Childhood Socioeconomic Status, Justine Jamie N. Gotico
Neural Correlates Of Attentional Biases In Dietary Choice: Role Of Childhood Socioeconomic Status, Justine Jamie N. Gotico
CMC Senior Theses
Childhood poverty has been shown to increase adult risk for obesity above and beyond its direct effects on adult socioeconomic status (SES). One proposed mechanism of these effects is by shifting behavioral patterns of dietary consumption and choice, for example by increasing rapid attention to high-calorie unhealthy foods. Yet, whether such neural mechanisms can explain observed differences in dietary behavior based on childhood SES remains an open question. Here we used event-related potentials (ERPs) to examine early attentional correlates of low childhood SES during a dietary choice task, based on research suggesting that early attentional biases toward high-calorie foods emerge …
The Coral Porites Lutea As A Regional And Local Proxy For Sea Surface Temperature In Hong Kong, And The Effects Of Typhoons On Proxy Accuracy, Brenna E. Bell
The Coral Porites Lutea As A Regional And Local Proxy For Sea Surface Temperature In Hong Kong, And The Effects Of Typhoons On Proxy Accuracy, Brenna E. Bell
CMC Senior Theses
Proxies related to the climate have been used as a method to observe long-term changes occurring underwater that span long before we had the capability to measure environmental characteristics. Porites corals have been used as sea surface temperature (SST) proxies due to annual cyclicity in their growth process and mineral composition. As the climate differs globally, it is important to ensure that proxies are accurate regardless of location to measure changes in climate. This study examines Porites lutea corals as an SST proxy in the region of Hong Kong. Potential local differences in SST proxy calibrations within the surrounding waters …
Determination Of Structural Factors Contributing To Protection Of Zinc Fingers In Estrogen Receptor Α Through Molecular Dynamic Simulations, Patricia B. Lutz, Wesley R. Coombs, Craig A. Bayse
Determination Of Structural Factors Contributing To Protection Of Zinc Fingers In Estrogen Receptor Α Through Molecular Dynamic Simulations, Patricia B. Lutz, Wesley R. Coombs, Craig A. Bayse
Chemistry & Biochemistry Faculty Publications
The ERα transcription factor that induces tumor growth is a potential target for breast cancer treatment. Each monomer of the ERα DNA-binding domain (ERαDBD) homodimer has two conserved (Cys)4-type zinc fingers, ZF1 (N-terminal) and ZF2 (C-terminal). Electrophilic agents release Zn2+ by oxidizing the coordinating Cys of the more labile ZF2 to inhibit dimerization and DNA binding. Microsecond-length molecular dynamics (MD) simulations show that greater flexibility of ZF2 in the ERαDBD monomer leaves its Cys more solvent accessible and less shielded from electrophilic attack by sulfur-centered hydrogen bonds than ZF1 which is buried in the protein. In the …
Phytochemical Analysis, Antioxidant, And Antibacterial Properties Of Partition Fractions Of Adansonia Digitata And Annona Muricata Extracts Using Chloroform, Ethyl Acetate, Ethanol, And Aqueous Solvent Systems, Fagbohun Oyenike Bushirat, Hassan Abdusalam Adewuyi, Sakariyau Adio Waheed, Maryam Nana Musa, Timothy God-Giveth Olusegun, Ayomide Babatunde Ishola, Agumage Idoko, Adeola Victor Kolawole, Adesanmi Adefunmilayo Oluwatuyi, Sarah Ngozi Agwasim
Phytochemical Analysis, Antioxidant, And Antibacterial Properties Of Partition Fractions Of Adansonia Digitata And Annona Muricata Extracts Using Chloroform, Ethyl Acetate, Ethanol, And Aqueous Solvent Systems, Fagbohun Oyenike Bushirat, Hassan Abdusalam Adewuyi, Sakariyau Adio Waheed, Maryam Nana Musa, Timothy God-Giveth Olusegun, Ayomide Babatunde Ishola, Agumage Idoko, Adeola Victor Kolawole, Adesanmi Adefunmilayo Oluwatuyi, Sarah Ngozi Agwasim
Chemistry & Biochemistry Faculty Publications
Adansonia digitata and Annona muricata are traditionally used medicinal plants with reported pharmacological properties. In this study, we aimed to elucidate the phytochemical composition, antioxidant activity, and antibacterial properties of partition fractions of Adansonia digitata and Annona muricata extracts obtained using chloroform, ethyl acetate, ethanol, and aqueous solvent systems. The plant extracts were successively partitioned using chloroform, ethyl acetate, ethanol, and aqueous solvent systems. Phytochemical analysis was performed using standard methods. Antioxidant activity was evaluated using FRAP and DPPH assays. Antibacterial activity was assessed using agar well diffusion and MIC determination. Phytochemical analysis revealed the presence of alkaloids (10.2-15.6%), flavonoids …
The Importance Of Solution Studies For The Structural Characterization Of The Enterovirus 5' Cloverleaf, Morgan G. Daniels, Meagan E. Werner, Xiaobing Zuo, Steven M. Pascal
The Importance Of Solution Studies For The Structural Characterization Of The Enterovirus 5' Cloverleaf, Morgan G. Daniels, Meagan E. Werner, Xiaobing Zuo, Steven M. Pascal
Chemistry & Biochemistry Faculty Publications
Enteroviruses initiate genomic replication via a highly conserved mechanism that is controlled by an RNA platform, also known as the 5' cloverleaf (5'CL). Here, we present a biophysical analysis of the 5'CL conformation of three enterovirus serotypes under various ionic conditions, utilizing CD spectroscopy, size-exclusion chromatography, and small-angle X-ray scattering. In general, a tendency toward a smaller monomeric hydrodynamic radius in the presence of salts was observed, but the exact structural signature of each 5'CL varied depending upon the serotype. Rhinovirus B14 (RVB14) exhibited at least two monomeric conformations and a low propensity for dimerization, while poliovirus 1 (PV1) showed …
Conference Report Of Wmu Maritime Affairs Conference 2025 : Transforming A Maritime Future : Digitalization And Decarbonization, World Maritime University
Conference Report Of Wmu Maritime Affairs Conference 2025 : Transforming A Maritime Future : Digitalization And Decarbonization, World Maritime University
Conference Papers
No abstract provided.
High Tech Touts, Sherman J. Clark
High Tech Touts, Sherman J. Clark
Articles
This essay has three interrelated aims. First, it articulates a set of capacities I call virtues of attention—capacities for intuitive discernment, good judgment about what is worth sustained focus, and the ability to engage deeply with worthwhile things. These are eudaimonist virtues in that they help us live well, not merely act rightly. Second, the essay explores what I call poisonous persuasion: the idea that rhetorical appeals, especially those used in marketing, may not only succeed by appealing to certain desires or habits of mind but may also deepen and entrench them. Third, I bring these insights together to examine …
Boden Lecture: Taxation Of Autonomous Artificial Intelligence, Reuven S. Avi-Yonah, Lucas Brasil Salama, Herbert Snitz, W. Robert Thomas
Boden Lecture: Taxation Of Autonomous Artificial Intelligence, Reuven S. Avi-Yonah, Lucas Brasil Salama, Herbert Snitz, W. Robert Thomas
Articles
This Article proposes that tax can be a useful supplement to other measures to regulate Autonomous Artificial Intelligence (AAI) and limit its potential harmful effects. This proposal differs from command-and-control regulation of AAI along the lines of European Union legislation that may unduly limit the development of AAI. It also differs from existing proposals to tax AAI to generate revenue to help workers displaced by AAI programs, or to tax the data used by AAI The proposal is based on granting AAI programs like ChatGPT separate legal personhood, like corporate personhood, while incentivizing or requiring their corporate owner to place …
Environment Scan Of Generative Ai Infrastructure For Clinical And Translational Science, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng, Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas Campion, Mario Castro, James J. Cimino, I. Glenn Cohen, David Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter Mcgarvey, Eneida A. Mendonca, Parsa Mirhaji, Shawn Murphy, John D. Osborne, Ioannis C. Paschalidis, Paul A. Harris, Fred Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, Nicholson Price, Rui Zhang, Yiye Zhang
Environment Scan Of Generative Ai Infrastructure For Clinical And Translational Science, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng, Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas Campion, Mario Castro, James J. Cimino, I. Glenn Cohen, David Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter Mcgarvey, Eneida A. Mendonca, Parsa Mirhaji, Shawn Murphy, John D. Osborne, Ioannis C. Paschalidis, Paul A. Harris, Fred Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, Nicholson Price, Rui Zhang, Yiye Zhang
Articles
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis reveals that 53% of …
Training Set Augmentation And Harmonization Enables Radiomic Models To Detect Early Onset Of Lung Cancer, Claire Huchthausen, Menglin Shi, Gabriel L.A. Sousa, James Larner, Einsley Janowski, Jonathan Colen, Krishni Wijesooriya
Training Set Augmentation And Harmonization Enables Radiomic Models To Detect Early Onset Of Lung Cancer, Claire Huchthausen, Menglin Shi, Gabriel L.A. Sousa, James Larner, Einsley Janowski, Jonathan Colen, Krishni Wijesooriya
Data Science Faculty Publications
Radiomics-based machine learning models have the potential to detect lung cancer at inception from CT scans and transform patient outcomes. Low malignancy rates in early-development pulmonary nodules (PNs) and variable image acquisition hinder development of clinically applicable radiomics-based early detection models. To address these challenges, we augmented training using later-development PNs and harmonized for acquisition effects. We first trained machine learning models to predict PN malignancy using radiomic features from scans of early-development benign and malignant PNs (n = 187) harmonized using ComBat. Observing near-chance performance, we augmented training with later-development benign and malignant PNs (n = 225). We evaluated …
Motion Artifacts Removal From Measured Arterial Pulse Signals At Rest: A Generalized Sdof-Model-Based Time-Frequency Method, Zhili Hao
Mechanical & Aerospace Engineering Faculty Publications
Motion artifacts (MA) are a key factor affecting the accuracy of a measured arterial pulse signal at rest. This paper presents a generalized time–frequency method for MA removal that is built upon a single-degree-of-freedom (SDOF) model of MA, where MA is manifested as time-varying system parameters (TVSPs) of the SDOF system for the tissue–contact-sensor (TCS) stack between an artery and a sensor. This model distinguishes the effects of MA and respiration on the instant parameters of harmonics in a measured pulse signal. Accordingly, a generalized SDOF-model-based time–frequency (SDOF-TF) method is developed to obtain the instant parameters of each harmonic in …
An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part I: Accelerometers And Ppg Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao
An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part I: Accelerometers And Ppg Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao
Mechanical & Aerospace Engineering Faculty Publications
This paper, the first of two parts, presents an analytical model of motion artifacts (MAs) in measured pulse signals by accelerometers and photoplethysmography (PPG) sensors. As the transmission path from the true pulse signal in an artery to the sensor output (measured pulse signal), the tissue-contact-sensor (TCS) stack is modeled as a 1DOF (degree-of-freedom) system. MAs cause baseline drift of the mass and simultaneously time-varying system parameters (TVSPs) of the TCS stack. With arterial wall displacement and pulsatile pressure serving separately as the true pulse signal, an analytical model is developed to mathematically relate baseline drift and TVSP to a …
An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part Ii: Tactile Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao
An Analytical Model Of Motion Artifacts In A Measured Arterial Pulse Signal—Part Ii: Tactile Sensors, Md Mahfuzur Rahman, Subodh Toraskar, Mamun Hasan, Zhili Hao
Mechanical & Aerospace Engineering Faculty Publications
This paper, the second of two parts, presents an analytical model of motion artifacts (MA) in measured pulse signals by a tactile sensor, which contains a deformable microstructure sitting on a substrate. While the tissue-contact-sensor (TCS) stack and the sensor are both treated as a 1DOF (degree-of-freedom) system, tissue–sensor contact joins their mass together to form a 1DOF system with springs and dampers on both sides. MA on the sensor substrate causes baseline drift and time-varying system parameters (TVSP) of the TCS stack simultaneously. An analytical model is developed to mathematically relate baseline drift and TVSP to a measured pulse …
Understanding Physiological Responses For Intelligent Posture Detection Using Wearable Technology, Chaitanya Vardhini Anumula, Tanvi Banerjee, Anuradha Oak
Understanding Physiological Responses For Intelligent Posture Detection Using Wearable Technology, Chaitanya Vardhini Anumula, Tanvi Banerjee, Anuradha Oak
Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials
This study investigates the physiological impact of Iyengar yoga at the pose-level using EmbracePlus wearable smartwatch, for data recording and personalized yoga pose detection for tracking.
Generative Ai (Gan & Vae) In Motion Sickness Research, Harigovind Harikumar, Tomojit Ghosh
Generative Ai (Gan & Vae) In Motion Sickness Research, Harigovind Harikumar, Tomojit Ghosh
Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials
No abstract provided.
A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin
A Systematic Study Of Freezing Behavior In Earthworms In Response To Auditory And Vibratory Stimuli, Navjot Singh, A. Burton, Dragana Ivkovich Claflin
Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials
While earthworms have largely been studied for their role in eliminating toxic metals from soil, less is known about their behavior overall. Previous work from our lab found that a predator-like auditory stimulus (grunting) reliably induced fear-related freezing behavior (Worthen et al., 2024). The present studies further explore earthworm behaviors in response to audio-vibratory stimuli. In Experiment 1, we manipulated amplitude levels and speaker location to examine the parameters needed to reliably induce a freezing fear response to the grunting sound. It was hypothesized that when the speaker was touching the apparatus and producing an added mechanical vibration, there would …
Destroy, Rebuild, Repeat: How To Break The Climate Disaster Cycle, Mark P. Nevitt
Destroy, Rebuild, Repeat: How To Break The Climate Disaster Cycle, Mark P. Nevitt
Faculty Articles
Climate change is fundamentally reshaping how we live, where we live, and whether we invest in or retreat from climate-exposed communities—but climate and disaster law is not changing with the climate. This legal latency is driven by antiquated statutes, doctrines, and policies that have not kept pace with the climate moment. Ex ante adaptation decisions governing where to live are life and death choices that shape ex post disaster response. Laws and policies should facilitate sound climate decisionmaking, but too often they frustrate individual and governmental decisions on whether to stay or retreat. In this Article, I argue that laws …
การคาดการณ์ค่าดัชนีความแตกต่างของพืชและความชื้น โดยใช้เทคนิคการเรียนรู้ของเครื่องอย่างชาญฉลาด เพื่อการติดตามด้านการเกษตรและสิ่งแวดล้อม, ณุทยา เข็มเจริญ
การคาดการณ์ค่าดัชนีความแตกต่างของพืชและความชื้น โดยใช้เทคนิคการเรียนรู้ของเครื่องอย่างชาญฉลาด เพื่อการติดตามด้านการเกษตรและสิ่งแวดล้อม, ณุทยา เข็มเจริญ
Chulalongkorn University Theses and Dissertations (Chula ETD)
ปัจจุบัน ภัยแล้งและการเปลี่ยนแปลงสภาพภูมิอากาศส่งผลกระทบต่อผลผลิตทางการเกษตร โดยเฉพาะพืชเศรษฐกิจของไทยอย่างทุเรียน ซึ่งต้องอาศัยการติดตามสุขภาพพืชและการจัดการน้ำอย่างใกล้ชิด ข้อมูลจากภาพถ่ายดาวเทียม ดัชนีความแตกต่างของพืชและความชื้น จึงเป็นเครื่องมือสำคัญในการวิเคราะห์สภาพพื้นที่เพาะปลูก โครงงานนี้พัฒนาแบบจำลองการเรียนรู้ของเครื่องเพื่อพยากรณ์ทั้งสองดัชนีรายสัปดาห์ โดยใช้การเฉลี่ยและเติมค่าข้อมูลที่ขาดหายด้วยการถดถอยเชิงเส้น ก่อนนำไปฝึกแบบจำลองผสมระหว่างโครงข่ายคอนโวลูชัน และหน่วยความจำระยะสั้นแบบยาว ระบบถูกออกแบบให้ทำงานอัตโนมัติภายใต้แนวคิดการปฏิบัติการด้านการเรียนรู้ของเครื่อง แสดงผลผ่านเว็บแอปพลิเคชัน ติดตั้งและทดสอบบนเครื่องเซิร์ฟเวอร์
Estimation Of Burned Severity Areas Using Landsat8 Data From 2016 To 2022 In Chiang Mai Province, Sarunya Karuna
Estimation Of Burned Severity Areas Using Landsat8 Data From 2016 To 2022 In Chiang Mai Province, Sarunya Karuna
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study aims to evaluate the area and severity of wildfire damage in Chiang Mai Province using LANDSAT8 satellite data from 2016, 2018, 2020, and 2022, and to analyze the relationship between spatial factors, namely the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), with fire occurrence and severity. The study utilized hotspot data analysis in conjunction with the Differenced Normalized Burn Ratio (dNBR) index to assess the area and classify fire severity levels, while also analyzing pre-fire and post-fire NDVI and LST values to identify correlations. The results indicated that 2020 experienced the most severe fire situation, …
Scam Slayer : A Gamification For Creating A Cyber Scam Awareness, Xin Lyu
Scam Slayer : A Gamification For Creating A Cyber Scam Awareness, Xin Lyu
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study explores how gamified learning can enhance the ability to recognize and prevent online fraud. The research team developed a role-playing educational game, Scam Slayer, using Ren’Py, integrating five common fraud scenarios and an Anti-Fraud Assistant to create an immersive and reflective learning experience. Analysis of a pre-game survey with 400 participants and a post-game survey with 40 players shows significant improvements in fraud recognition and alertness, with no demographic differences in learning outcomes. Participants also reported high satisfaction with the game’s narrative and educational value, suggesting that gamified learning can serve as an effective complement to traditional online …
Comparative Study Of Environmental Impacts Of End-Of-Life Management Approaches For Air Conditioners Using Lca., Viveha Sriskandaraja
Comparative Study Of Environmental Impacts Of End-Of-Life Management Approaches For Air Conditioners Using Lca., Viveha Sriskandaraja
Chulalongkorn University Theses and Dissertations (Chula ETD)
The amount of e-waste generated worldwide has surpassed 62 million tons, which has created consequences related to the management and disposal of e-waste. The primary concern regarding air-conditioners is waste management, as these units consist of plastics, metals, hazardous materials, and refrigerants. Improper disposal or leakage of refrigerants poses a significant greenhouse gas threat that accelerates climate change. The end-of-life (EOL) stage is often overlooked in the management of discarded air-conditioners. Therefore, this study focuses on filling the knowledge gap regarding the comparison of EOL management methods and analysing the effectiveness of regulated management methods. This study aims to use …
Spatio-Temporal Variation, Source Apportionment, And Health Risk Assessment Of Pm2.5 In The Urban Park Of Bangkok, Yan Zhang
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study presents a comprehensive analysis of PM2.5 pollution in urban parks across Bangkok, Thailand, investigating its spatio-temporal variations, chemical composition, sources, and associated health risks. PM2.5 samples were collected from six urban parks during wet and dry seasons in 2021 (peak COVID-19 lockdown), 2022 (post-lockdown), and 2024. Chemical characterization revealed that carbonaceous species (OC, EC, WSOC) were the dominant components, contributing 29.4% to 47.8% of PM2.5 mass. Concentrations were significantly higher in the dry season (mean: 19.9 ± 9.0 μg/m³ at Chulalongkorn Park) than the wet season (13.6 ± 6.6 μg/m³), with dry-season levels exceeding the WHO 24-hour guideline …
Quality Of Life Prediction For Driving Route Planning System Using Image Recognition And Deep Learning, Intouch Prakaisak
Quality Of Life Prediction For Driving Route Planning System Using Image Recognition And Deep Learning, Intouch Prakaisak
Chulalongkorn University Theses and Dissertations (Chula ETD)
Assessing travel-related Quality of Life (QoL) is a significant challenge due to its reliance on subjective human perception, which is difficult to measure. Traditional studies are often constrained by the limited scope of costly, manual data collection. The significant contribution of this research is the introduction of a new framework that can analyze tourist perception on a large and systematic scale. The novelty of this work lies in the utilization of Google Street View (GSV) as a large-scale visual data source, coupled with the use of a sequence-based model to analyze travel routes, which allows for the simulation of the …
Out-Of-Domain Tuberculosis Detection From Chest X-Ray Images Using Meta Learning With Soft Labels, Kanokphat Jinanarong
Out-Of-Domain Tuberculosis Detection From Chest X-Ray Images Using Meta Learning With Soft Labels, Kanokphat Jinanarong
Chulalongkorn University Theses and Dissertations (Chula ETD)
Automated tuberculosis screening from chest x-ray images could greatly benefit regions with limited medical resources. However, currently available methods could not handle this problem well due to the difference in chest x-ray images in each region caused by the difference in machine and demographics, the possible noise in the available labels, and other reasons. We therefore propose a new machine learning algorithm that could detect tuberculosis with great accuracy on any other data sources by learning from completely different data sources. We used a model-agnostic meta-learning together with a soft label approach, utilizing the meta-gradient to dynamically adjust the soft …
Large Language Model-Based Framework For Mental Health Support Conversation In Thai, Radchaneeporn Changpun
Large Language Model-Based Framework For Mental Health Support Conversation In Thai, Radchaneeporn Changpun
Chulalongkorn University Theses and Dissertations (Chula ETD)
As mental health support needs continue to rise in Thailand, access to professional care remains constrained. LLM-based chatbots present a scalable alternative, though most current systems are limited to single-turn, solution-focused interactions. This thesis introduces a Large Language Model-Based Framework for Mental Health Support Conversations in Thai, organizing dialogues around five fundamental mental health counseling stages: rapport building, problem identification, goal setting, working, and termination. Drawing from Person-Centered Therapy (PCT) and Acceptance and Commitment Therapy (ACT). The framework was assessed against three single-agent baseline models using LLM-simulated users, with positive user reaction rates evaluated by LLMs. Results demonstrated a 79.01% …
ปัญญาประดิษฐ์ในบทบาทนักวิเคราะห์ข้อมูล : กรอบแนวคิดสำหรับการวิเคราะห์เชิงข้อมูลแบบอัตโนมัติด้วยแบบจำลองภาษาขนาดใหญ่และตัวแทนปัญญาประดิษฐ์, วิชญาดา เล้าสุบินประเสริฐ
ปัญญาประดิษฐ์ในบทบาทนักวิเคราะห์ข้อมูล : กรอบแนวคิดสำหรับการวิเคราะห์เชิงข้อมูลแบบอัตโนมัติด้วยแบบจำลองภาษาขนาดใหญ่และตัวแทนปัญญาประดิษฐ์, วิชญาดา เล้าสุบินประเสริฐ
Chulalongkorn University Theses and Dissertations (Chula ETD)
การวิเคราะห์เชิงข้อมูลที่ดำเนินการโดยมนุษย์มีความท้าทาย เนื่องจากต้องใช้เวลา ทักษะเฉพาะทาง และทรัพยากรจำนวนมาก งานวิจัยนี้มีจุดมุ่งหมายเพื่อค้นหาวิธีในการใช้ปัญญาประดิษฐ์เชิงสร้างสรรค์เพื่อทำให้กระบวนการวิเคราะห์ข้อมูลเป็นแบบอัตโนมัติ โดยปฏิบัติตามวิธี 6 ขั้นตอน ได้แก่ ถาม เตรียม ประมวลผล วิเคราะห์ แบ่งปัน และดำเนินการ โดยไม่มีมนุษย์เข้ามาแทรกแซงตลอดกระบวนการวิเคราะห์ การดำเนินการเริ่มตั้งแต่ผู้ใช้ป้อนชุดข้อมูล วัตถุประสงค์ที่ต้องการ บริบทของข้อมูล และสมมติฐานที่มีอยู่ก่อน จากนั้นระบบจะสร้างคำสั่ง และดำเนินงานต่าง ๆ โดยอัตโนมัติผ่านตัวแทนปัญญาประดิษฐ์ที่ออกแบบเฉพาะทาง โดยตัวแทนเหล่านี้มีบทบาทในการวางแผนและกำหนดการดำเนินงาน โดยอาศัยแบบจำลองภาษาขนาดใหญ่ในการสร้างแนวคิดและใช้เหตุผลเพื่อกำหนดแนวทางการวางแผนและการดำเนินการ ผลการทดลองจาก 5 ชุดข้อมูลในสาขาที่แตกต่างกัน ได้แก่ การศึกษา สุขภาพ ธุรกิจ สิ่งแวดล้อม และเศรษฐกิจ แสดงให้เห็นว่า ผลการประเมินตามเกณฑ์คะแนนการวิเคราะห์เชิงข้อมูลเฉลี่ย 8.1 – 9.4 จากคะแนนเต็ม 10 โดยมีความสอดคล้องระหว่างผลการประเมินโดยแบบจำลองภาษาขนาดใหญ่และมนุษย์เฉลี่ย 0.94 – 0.97 มีเวลาในการดำเนินงานเฉลี่ย 1.8 - 6.6 นาที มีข้อผิดพลาดเฉลี่ย 0.2 - 1.8 ครั้ง และมีความสามารถในการทำงานต่าง ๆ เช่น ประมวลผลโค้ด คำนวณสถิติหรือสร้างแบบจำลองการเรียนรู้ของเครื่อง และแสดงผลภาพได้ งานวิจัยนี้ชี้ให้เห็นถึงศักยภาพของแบบจำลองภาษาขนาดใหญ่ในการทำหน้าที่เป็นนักวิเคราะห์ข้อมูลเสมือน และสามารถต่อยอดระบบวิเคราะห์เชิงข้อมูลแบบอัตโนมัติในสาขาต่าง ๆ ได้ในอนาคต
การประเมินผลการใช้น้ำเสียบำบัดในระบบไฮโดรพอนิกส์ : การเปลี่ยนแปลงของไนโตรเจน การเติบโตของผักกาดหอม และกลุ่มชุมชนของจุลินทรีย์บริเวณราก, พชร ป่ากว้าง
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้ศึกษาการนำน้ำเสียที่ผ่านการบำบัดจากระบบเติมอากาศของอาคารหอสมุดกลาง จุฬาลงกรณ์มหาวิทยาลัย กลับมาใช้ในระบบไฮโดรพอนิกส์เพาะปลูกผักกาดหอม (Lactuca sativa) เพื่อส่งเสริมการจัดการน้ำอย่างยั่งยืนและการใช้ทรัพยากรหมุนเวียน การทดลองออกเป็น 3 ระยะตามอัตราส่วนน้ำเสียบำบัด ได้แก่ 50% (ระยะที่ 1), 100% (ระยะที่ 2) และ 75% (ระยะที่ 3) เปรียบเทียบกับระบบควบคุมที่ใช้สารละลายปุ๋ยไฮโดรพอนิกส์ ศึกษาการเปลี่ยนแปลงของไนโตรเจน ได้แก่ แอมโมเนียม (NH4+), ไนไตร์ท (NO2-), ไนเตรต (NO3-), และ ไนโตรเจนคเจดาลห์ (TKN) และประเมินผลต่อการเจริญเติบโตและปริมาณไนโตรเจนของผักกาดหอม ตลอดระยะเวลาเพาะปลูก 28 วัน มีการเก็บตัวอย่างน้ำเพื่อวิเคราะห์คุณภาพน้ำ และสุ่มเก็บตัวอย่างรากเพื่อศึกษาความหลากหลายของชุมชนจุลินทรีย์ ผลการทดลองพบว่าอัตราส่วนของน้ำเสียบำบัดมีผลต่อการเจริญเติบโตของผักกาดหอมอย่างมีนัยสำคัญทางสถิติ โดยระบบที่ใช้น้ำเสียบำบัด 100% ให้ผลผลิตสูงสุดทั้งในด้านน้ำหนักสด น้ำหนักแห้ง และปริมาณไนโตรเจน ซึ่งแนวโน้มนี้สอดคล้องกับความเข้มข้นไนเตรตและ TKN ในน้ำ แสดงถึงความเพียงพอของธาตุอาหาร โดยเฉพาะไนโตรเจน ขณะเดียวกันการวิเคราะห์ชุมชนจุลินทรีย์บริเวณรากพบว่าระบบน้ำเสียบำบัดมีความหลากหลายสูงกว่าระบบควบคุม โดยพบแบคทีเรียเด่นใน สกุล Altererythrobacter รวมถึงสกุล midas_g_859 ซึ่งอยู่ในอันดับ Thermomicrobiales และสกุลของแบคทีเรียในไฟลัม Armatimonadotaซึ่งเกี่ยวข้องกับการย่อยสลายอินทรียวัตถุและการเปลี่ยนรูปไนโตรเจน ส่วนระบบควบคุมพบแบคทีเรียเด่นในสกุลของวงศ์ Rhizobiaceae และสกุล Bosea ซึ่งมีบทบาทสำคัญในการตรึงไนโตรเจนและช่วยเพิ่มความสามารถในการดูดซึมสารอาหารของพืช ดังนั้นการนำน้ำเสียบำบัดกลับมาใช้ในระบบไฮโดรพอนิกส์จึงมีศักยภาพในการส่งเสริมการเจริญเติบโตของผักกาดหอมได้อย่างมีประสิทธิภาพ แต่การปรับสมดุลธาตุอาหารและคุณภาพน้ำก่อนใช้งานจริงยังเป็นสิ่งจำเป็น ผลการศึกษานี้จึงสามารถเป็นแนวทางพัฒนาระบบบำบัดน้ำเสียแบบบูรณาการร่วมกับการเพาะปลูกไฮโดรพอนิกส์ภายในมหาวิทยาลัยต่อไป