Digital Commons Network^™

Thailand’S Party Financing Regulation: A U-Turn To Patronage System, Punchada Sirivunnabood

Asian Review

Money is important for the development of political parties. To support the development of parties along with preventing overt corporate influence over parties, the Thai state allocates subsidies from the Political Party Development Fund (PPDF) to eligible party organizations. Beyond the limited PPDF budget, political parties are also allowed to seek their own revenues from other sources such as merchandise sales, fundraisers, and private donations with the maximum of 10 million baht per donor. Based on the qualitative analysis, a series of six focus groups were conducted with party branch members, party MPs, candidates, party staff and ECT officers in …

Chineseness And The Cold War:Contested Cultures And Diaspora In Southeast Asia And-Hong Kong, Nuttawadee Jensiripon

Asian Review

Deviating from that mainstream and rethinking the Cold War within Asian historical contexts, Chineseness and the Cold War: Contested Cultures and Diaspora in Southeast Asia and Hong Kong, edited by Jeremy E. Taylor and Lanjun Xu, can be recognized as an extraordinary TV series which offers a significant shift from the traditional Euro-centric perspectives on Cold War studies. Instead, it provides a groundbreaking Sino-centric viewpoint that explores the complex and contested notions of “Chineseness” in Southeast Asia and Hong Kongduring the Cold War period.

A “Bangladeshi” Descendant Muslim Community In Northern Thailand Its Formation Process, Mineo Takada

Asian Review

Thailand is a majority Buddhist country. However, there is a Muslim population in some parts of the country. One such community is a so-called "Indian" Muslim community in northern Thailand. In fact, they originally came from East Bengal, now Bangladesh, not India. A large community of such Bangladeshi descendants can be found in Chiang Mai and other groups of them live in some smaller towns in northern Thailand.  This paper discusses the migration processes, routes, and settlement processes of a group in northern Thailand. When the author started researching them, they declared themselves "Bangladee" (Thai pronunciation of Bangladesh), but they …

Enhanced Co2 Capture Performance Using Methyl Diethanolamine-Functionalized Silica Gels: Assessing Co2 Capture Capacity, Petpitcha Boonmatoon, Pacharapol Nokpho, Pornpote Piumsomboon, Benjapon Chalermsinsuwan

Applied Environmental Research

Carbon dioxide (CO2) is a significant greenhouse gas. This causes harm to the environment and to humans. In 2023, atmospheric CO2 levels rose to 420 ppm, marking a new record high. Therefore, technology for capturing CO2 has been developed. At present, a wide variety of technologies have been proposed to capture CO2. Adsorption technology is more affordable and requires less energy for regeneration. There are many potential solid adsorbents for CO2 capture, such as zeolites, alumina, metal‒organic frameworks (MOFs), and mesoporous silicas. Silica materials possess unique properties that make them promising candidates as solid sorbents for CO2 capture. They provide …

Investigation And Health Risk Assessment Of Indoor And Outdoor Nitrogen Dioxide At Preschools In Haze Areas Of Lampang Province And Industrial Areas Of Rayong Province, Thailand, Susira Bootdee, Sawaeng Kawichai, Suganya Phantu, Sopittaporn Sillapapiromsuk

Applied Environmental Research

Nitrogen dioxide (NO2) is a major indoor air pollutant and a significant ambient air contaminant associated with health effects, especially for students and teachers who attend schools in the areas of traffic, roads and industry. This study aims to assess the impacts of NO2 exposure on the health of students in haze and industrial areas from November 2023 to March 2024. Researchers utilized tube-type passive samplers to collect indoor and outdoor NO2 samples, which were subsequently analyzed via spectrophotometry. The results revealed that the weekly mean indoor and outdoor NO2 concentrations in the haze areas (HA1–HA5) ranged between 4.4–29.0 and …

Examining The Variability In Planetary Boundary Layer Height Over Thailand: Correlations With Enso And Aerosol Optical Depth, Sirapong Sooktawee, Khwanruthai Renuhom, Siriwan Kaewket, Aduldech Patpai, Pramet Kaewmesri, Thongchai Kanabkaew, Pichnaree Lalitaporn

Applied Environmental Research

Thailand has been facing air pollution, e.g., PM2.5, and impacts from climate phenomena, e.g., the El Niño‒Southern Oscillation (ENSO). Both air pollution and climate interact with each other. Changes in the planetary boundary layer height (PBLH) can affect PM2.5, represented by the aerosol optical depth (AOD), and are influenced by ENSO related to changes in the PBLH. The relationships among the PBLH, ENSO, and AOD were investigated via an empirical orthogonal function (EOF), which decomposes the spatiotemporal data of the PBLH into spatial patterns and corresponding time series. Correlation analysis was used to determine the relationships between the PBL variability …

Spatial And Temporal Pattern Assessment Of Agricultural Drought Sensitivity And Its Potential Impact On Economic Crops In Nakhon Ratchasima, Thailand, Suwit Ongsomwang, Siripon Kamontum

Applied Environmental Research

Agricultural drought sensitivity (ADS) is highly diverse across regions, primarily due to differences in climate, soil types, and farming practices. Agricultural drought impacts depend on drought intensity, severity, duration and timing relative to crop growth stages. Therefore, spatial and temporal pattern assessments of ADS and its potential impact on economic crops in three scenarios via multicriteria decision-making methods were conducted. As a result, the spatial distributions of the ADS index and its classification at 3 m7, 3 m10 and 6 m10, covering the planting and growing periods, displayed different patterns. The percentages of moderate, high and very high severity levels …

Nationwide Household Food Waste Generation Rates In Rural And Urban Settings: Evidence In Thailand, Vilasinee Krutprong, Chanathip Pharino

Applied Environmental Research

To achieve sustainable development goals, addressing food waste requires evidence-based solutions grounded in a nuanced understanding of waste generation rates and the factors influencing them. This study explores the intricate dynamics of food waste generation in Thai households, encompassing both liquid and solid waste streams. Empirical data were collected from 2,700 diverse households across urban and rural areas over a four-week period. The study revealed an average food waste generation rate of 0.332±0.003 kg per capita per day when liquids were included and 0.228± 0.002 kg per capita per day when liquids were excluded. Surprisingly, rural households generated more food …

The Role Of Remittances In Economic Growth And Environmental Sustainability: A Cross-Country Analysis, Bishnu B. Khatri, Omkar Poudel, Pradeep Acharya

Applied Environmental Research

Although remittances significantly influence economic stability, their role in sustainable growth and environmental impact remains uncertain. While these financial inflows enhance household welfare, their effects on gross domestic product (GDP), carbon emissions, and trade openness require further exploration. This study investigates the economic and environmental linkages of remittances in India, Mexico, China, the Philippines, and Pakistan, the top five remittance-receiving countries. Using panel data analysis, this study employs Dumitrescu Hurlin causality tests and dynamic ordinary least squares (DOLS) to assess the long-term and causal relationships between urbanization, trade openness, GDP per capita, carbon emissions, and remittances. Data from the World …

Macroplastic Characteristics And Assessment Of The Plastic Abundance Index (Pai) Of Beach Sediments In Prigi Bay, East Java, Indonesia, Adinda P.A. Nevandhra, Seftiawan S. Rijal, Syarifah H.J. Sari, Defri Yona

Applied Environmental Research

Macroplastics, defined as plastic debris ranging from 2.5 to 100 cm, pose significant threats to aquatic ecosystems, as they can breakdown into smaller particles. These materials are widely dispersed across marine environments, including coastal areas. This study aimed to compare and assess the abundance of macroplastics in the foreshore and backshore zones of four beaches around Prigi Bay, East Java, Indonesia, via the plastic abundance index (PAI). Macro-plastics were collected via a 5×5 m quadrat transect method. The results revealed that single-use plastics, particularly packaging and sachets, dominated both zones, accounting for 86% and 91% of the total number of …

Applying Radom Forest And Support Vector Machine For Land-Use Classification In Phu Giao District Vietnam, Trong Dieu Hien Le, Linh Truong Vinh

Applied Environmental Research

Machine learning algorithms are currently widely used to classify satellite images to create surface maps of the earth. Support vector machines (SVMs) and random forests (RFs) are more effective ML algorithms and more accurate classifications than other methods. The aim of this study is to analyze the performance of these two algorithms in land-use and land cover classification. For this purpose, the Landsat 8 OLI satellite image freely provided by the United States Geological Survey (USGS) was used to classify land use in the Phu Giao District, Binh Duong Province, Vietnam, where forestland is being strongly converted into rubber plantations …

The Use Of Machine Learning Algorithms For Water Quality Index Prediction In The Sai Gon River, Vietnam, Thuy Nguyen Thi Diem, Mai Nguyen Thi Huynh, Tra Tran Quang

Applied Environmental Research

Accurate prediction of the water quality index (WQI) lays the groundwork for integrated river basins and sustainable water resource management. Recent and accelerated advances in machine learning have led to various promising applications in water quality assessment. The present study leverages the predictive performance of several ML algorithms, including extreme gradient boosting (XGB), the gradient boosting model (GBM), support vector regression (SVR), and the radial basic function (RBF), to predict the WQI at three monitoring sites on the Sai Gon River from 2015–2019. In comparison, the results indicate that the XGB model outperforms the other models when eight parameters, including …

Effects Of Herbicides On 2,4-D-Resistant Soil Microorganisms In Maize Cultivation In Lopburi Province, Thailand, Boontarik Chimchart, Jitra Kokaew, Amnat Eamvijarn, Kanokon Bunpha, Sontaya Khamtib, Monchai Manassila, Tawatchai Inboonchuay

Applied Environmental Research

This study aimed to assess the impact of herbicide application on soil micro-organism density and to identify microorganisms resistant to 2,4-D-dimethyl-ammonium (2,4-D) for potential biodegradation. Research was conducted in maize plots in Lopburi Province, where 2,4-D was applied at a rate of 120 g of active ingredient per 160 m2. The soil samples were collected at various intervals: before application; 2 and 4 hours postapplication; and 1, 3, and 7 days after application. The analyses included soil property and microorganism population analyses. The results indicated that 2,4-D applications significantly increased bacteria and fungi in the treated plots compared with those …

Kinetics Of Hexavalent Chromium Adsorption And Reduction By Living Cells Of The Marine Bacterium Bacillus Cereus, Jittima Charoenpanich, Wachiraphorn Cherdchoo, Jutamas Pantab, Jariya Supakrit

Applied Environmental Research

This study identified Bacillus cereus, an efficient Cr(VI) bioreducer, isolated from marine sediment in Thailand. Batch experiments verified the complete removal of 25 mg L-1Cr(VI) from synthetic wastewater (pH 7.0) after 6 days at 37 °C, 50 rpm,and a biomass concentration of 25% (v/v) culture inoculum. The Freundlich isotherm model demonstrated the best correlation with the Cr(VI) adsorption equilibrium data in the 25–100 mg L-1concentration range (R2= 0.9831). Kinetic analyses indicated that the removal of Cr(VI) by living B. cereusfollowed a pseudo-second-order adsorption model (R2= 0.9875) and a pseudo-second-order reduction model (R2= 0.9807). The adsorption rate can be accuratelycharacterizedvia the …

Uprooted, Olie Espinoza

Humboldt Journal of Social Relations

"I showcase what José Esteban Muñoz (2020) theorizes as “brown commons,” as I am brown and comprised of brown people and things. This piece was also inspired by..."

California Winter, Kamar Alexander Little

Humboldt Journal of Social Relations

"I created this music video reflection with the song “California Winter.” It is a track from the sophomore album of pop artist Dhruv titled Private Blizzard..."

Patent Infringement In Time, John R. Thomas

Georgetown Law Faculty Publications and Other Works

No patent lasts forever. When intellectual property rights expire, a canonical principle states, all benefits of their ownership cease. But patents may cast a long shadow after they are gone, hindering the advent of immediate competition upon their expiration. The law acts unevenly in these circumstances, leading to questionable intellectual property and public health policies. Ordinarily competitors cannot make and use a patented invention until the patent's term has concluded. This delay ordinarily extends the effective period of exclusivity that the patentee enjoys. However, a statutory safe harbor shields from infringement acts undertaken "solely for uses reasonably related" to Food …

I Hate Self-Care: A Criminal Defense Lawyer’S Lament, Abbe Smith

Georgetown Law Faculty Publications and Other Works

Don’t get me wrong—I think people should take care of themselves. They should eat well, exercise regularly, and get a good night’s sleep. They should spend time with friends and family. They should have hobbies and interests. With any luck, they should find true love. But in the past decade or two, and especially since the COVID pandemic, there has been a disturbing turn inward. I’m talking about the “self-care” craze, which has become its own pandemic, or at least epidemic.

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In this Essay, I share my concerns about what I regard to be an excessive focus on self-care …

Understanding Disputes Over Digitalization: A Perspective Of Cross-Border Central Bank Digital Currencies, Heng Wang

Emory International Law Review

In a rapidly digitalizing world, complex disputes arise due to technological, regulatory, and other complexities. Public and private actors—including central banks, financial institutions, tech firms, and law firms—need to understand the complexity of these disputes before determining whether and how to engage with ongoing digitalization.

Given the fundamental role of currency in the world economy, this article examines central bank digital currency (CBDC) as a pivotal case study. CBDCs, representing the digitalization of central bank money, are a novel digital form of national currency issued by central banks. Various central banks, including those of the Eurozone, Switzerland, the United …

Research Report: Cold-Hardy Hydrangeas For Landscape And Cut Flowers, Rebecca G. Sideman, Kaitlyn Orde, Ella Lukacz, Cathy Neal

Faculty Publications

This research report describes the performance of several cold-hard “panicle” (H. paniculata), “smooth” (H. arborescens), and “oakleaf” (H. quercifolia) hydrangea as landscape plants and for cut flower production in Durham, NH. We established a replicated planting of sixteen newer hydrangea cultivars at Woodman Farm in summer 2020. Preliminary data from these young shrubs indicates that there are wide differences in flower production, stem quality, flowering time and duration, and postharvest floral quality – among other traits.

Orchestrating Digital Technologies With Incumbent Enterprise Systems For Attaining Innovation, Sachithra Lokuge, Darshana D. Sedera, Varun Grover, Suprateek Sarker

Information Systems Faculty Publications and Presentations

In the late 1990s, most organizations adopted enterprise systems (ES) to automate their core business processes. The very same organizations are presented with a new wave of opportunities to innovate with digital technologies—technologies that purport to have diametrically opposed characteristics to ES. This study explores how organizations integrate digital technologies with their incumbent ES for attaining innovation. The study followed a qualitative approach and gathered data from four organizations consisting of six such projects. By applying a unique theoretical foundation, this study derives interesting insights into the orchestration process of ES and digital technologies for attaining innovation.

Originalism's Difference?, Sherif Girgis

Journal Articles

From the Aritcle

My topic is whether originalism makes any practical difference to constitutional reasoning and outcomes, relative to other methods of interpretation.

INTRODUCTION ............................................. 1945

I. JUSTICE SCALIA'S VISION OF CONTRASTS .................. 1949

II. THE BREAKDOWN OF CONTRASTS ........................... 1952

III. REMAINING CONTRASTS: REAL BUT ELUSIVE TO THEORY....................................................... 1961

IV. THE CHAMBERS ORIGINALISM DIFFERENCE .................. 1966

CONCLUSION: LOOKING AHEAD ................................ 1973

Using Geographic Interviews To Conduct Community Assessments—Insights For Msw Pedagogy, Danielle Maude Littman, Denae J. Cook, Amie Thurber

School of Social Work Faculty Publications and Presentations

Social work is predicated as a person-in-environment profession, but few tools presently exist for students to operationalize person-in-environment through assessment and systematic understanding. Geographic interviews, which combine spatial mapping and qualitative go-along interviews, are one possible tool with promise for application in the social work classroom. This teaching note describes the process of integrating geographic interviews as one data collection method MSW students could utilize in a community assessment assignment. We share learnings from student assignments (N = 8) and instructor focus groups (N = 4). We found that while there was a high level of student and instructor interest, …

Pozen And The Puzzle Of Counterfactuals, Louis Michael Seidman

Georgetown Law Faculty Publications and Other Works

The Constitution and the War on Drugs, David Pozen’s carefully researched and brilliantly argued book, is both illuminating and disturbing: illuminating because it unearths forgotten moments when judicially formulated constitutional doctrine that could have ended or sharply restricted the War on Drugs were well within the Overton Window, and disturbing because it surfaces hard questions about historical contingency and the scope of the change that might have occurred in a counterfactual world. In this review, the author argues that the failure to specify both the nature of the counterfactual and the breadth of the alternative possibility have confused discussions …

Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …

Mock: An Algorithm For Learning Nonparametric Differential Equations Via Multivariate Occupation Kernel Functions, Victoria A. Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Geneva Haney, Michael Wells, Bruno M. Jedynak

Mathematics and Statistics Faculty Publications and Presentations

Learning a nonparametric system of ordinary differential equations from trajectories in a -dimensional state space requires learning functions of variables. Explicit formulations often scale quadratically in unless additional knowledge about system properties, such as sparsity and symmetries, is available. In this work, we propose a linear approach, the multivariate occupation kernel method (MOCK), using the implicit formulation provided by vector-valued reproducing kernel Hilbert spaces. The solution for the vector field relies on multivariate occupation kernel functions associated with the trajectories and scales linearly with the dimension of the state space. We validate through experiments on a variety of simulated and …

Unsupervised Oct Image Interpolation Using Deformable Registration And Generative Models, Shuwen Wei, Samuel W. Remedios, Bruno Jedynak, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Optical coherence tomography (OCT) images are often acquired as highly anisotropic volumes, where the scanning step is dense along the fast axis but sparse along the slow axis. This affects image analysis, such as image registration for longitudinal alignment. To create more isotropic volumes, bicubic interpolation can be used along the slow axis, but it generally produces blurry features. Registration-based interpolation can reduce blurriness, but often fails to generate realistic OCT images. Deep generative models can sample realistic images, but lack the structural consistency constraints required for interpolation. In this paper, we propose an unsupervised image interpolation method that combines …

The Matryoshka Doll Prior – Principled Multiplicity Correction In Bayesian Model Comparison, Andrew Womack, Daniel Taylor-Rodríguez, Claudio Fuentes

Mathematics and Statistics Faculty Publications and Presentations

This paper introduces a general and principled construction of model space priors with a focus on regression problems. The proposed formulation regards each model as a “local” null hypothesis whose alternatives are the set of models that nest it. Assuming constant ratio of prior probabilities for any “local” null and its alternatives provides a natural isomorphism of model spaces (like a matryoshka doll), constituting an intuitive way to correct for multiplicity in Bayesian model selection and averaging problems. This isomorphism yields the Poisson distribution as the unique limiting distribution over model dimension under mild assumptions. We compare this model space …

Recontextualizing Engagement With Data Visualizations In The Context Of The Socio-Ecological, Eva Thanheiser, Laurie Rubel, Beth Herbel-Eisenmann, Courtney Koestler

Mathematics and Statistics Faculty Publications and Presentations

We explore how data visualizations (DVs) are representational tools that can be used to narrate certain aspects of a context but silence others. Using multiple DVs allows for contrasting the DVs and likely provides opportunities for critical reading and exploring the entanglement of political and ecological dimensions of an issue. We start by integrating two sets of practices, Notice, Wonder, Feel, Act and Reimagine (NW-FAR) (Kahn, et al., 2022) and critical graph reading, Framing, Formatting, Narrating (FFN) (Rubel, et al., 2021) towards taking a socio-political stance and supporting students to read data visualizations and develop critical data literacy. We look …

Belonging: Data Reasoning, About Ourselves And Others, Eva Thanheiser, Molly Robinson, Simon Byeonguk Han, Amanda Sugimoto, Courtney Koestler, Mathew Felton-Koestler

Mathematics and Statistics Faculty Publications and Presentations

Using Watson’s belonging framework and GAISE II data reasoning, this lesson invites students to collect, analyze, and represent personal data. In doing so, they see themselves and their peers reflected in the work, reinforcing their value as active participants in both mathematical thinking and the classroom community.