Digital Commons Network^™

Landscapes Of State Capitalism: Reconciling The Vernacular, National Development Imaginaries, And Green Capital Accumulation, Sol Andrew Stokols

Research Collection College of Integrative Studies

This article theorizes ‘state capitalist landscapes’ as a unique spatial form shaped by state-owned developers that reconcile economic goals with national development imperatives and symbolic national imaginaries. State capitalist landscapes, I argue, integrate economically productive spaces with natural spaces to symbolize imaginaries of the nation. Through an inductive case study methodology, this article surveys three industrial zones developed and/or under development by state owned developers: Singapore's Jurong, China's Xiong’an New Area, and Thailand's Wangchan Valley. In each of these cases, natural landscapes are integrated into new economic zones in order to construct specific symbolic and/or political imaginaries of the nation: …

Rubber Wars: Rubber At The End Of Empire In Colonial Malaya, C. 1945–57, Fiona Williamson

Research Collection College of Integrative Studies

This article argues the Malayan rubber industry’s fortunes both reflected and coloured the relationship between Britain and the USA during the early Cold War era. British Malaya had developed a world leading rubber industry within a few short decades. The importance of rubber to burgeoning manufacturing and transport industries however – especially in the United States – meant that the commodity became caught up in the geopolitics of a changing world order. During the 1920s and 1930s, Britain had dictated international market rules due to their largely unrivalled position but the Second World War had changed the global balance of …

Oxidation Behavior Of Silicon Carbide, Matrix Graphite, And Refractory Multi-Principal Element Alloy, Visharad Jalan

Doctoral Dissertations

"The present study focuses on the investigation of the oxidation behavior of silicon carbide, matrix graphite in a water vapor environment. It also examines the oxidation behavior of refractory multi-principal element alloys when exposed to air. The oxidation behavior of silicon carbide and matrix graphite were investigated in conditions pertaining to off-normal incidents in high-temperature gas-cooled nuclear reactors. Understanding this is crucial for the prediction of their performance in such accidents and ensuring that the nuclear reactor is accident tolerant. Upon exposure to water vapor, the two A3-based matrix graphite exhibited different behaviors. The A3-27 type showed oxidation in all …

Leveraging Deep Learning Models And Social Media Data For Enhanced Situation Awareness In Disaster Management, Ademola Abdulganiyu Adesokan

Doctoral Dissertations

"In recent years, social media has become a crucial source of real-time data for disaster management, supporting emergency responses when traditional channels like 911 are overcrowded and overwhelmed. It offers authorities valuable data for developing effective strategies, especially when swift actions are essential to save lives. However, the informal language, ambiguous meanings, and irrelevant content on social media pose challenges to accurate classification and hinder the efficient extraction of disaster-relevant information, leading to inefficiencies in emergency response efforts.

This research focuses on seven key questions: i) How can we detect, classify, and analyze hate and offensive tweet emotions during large-scale …

Mitigating Frost Heave And Thaw Weakening In Roads Using Wicking Geotextile, Javad Galinmoghadam

Doctoral Dissertations

"Excess water is known to be the primary cause of soil and foundation problems. In cold regions, water-related problems are exacerbated by seasonal freezing and thawing cycles. Frost heave and thaw weakening is the leading cause of premature pavement failure and consume considerable budgets of the Department of Transportations in cold regions. The first step to designing mitigation measures is the ability to predict frost heave under different conditions. This study aims to introduce a new method for quantifying frost heave using a prediction model based on the state surface approach. This proposed model addressed many inconsistencies and limitations of …

International Law, African Courts, And Protection Of The Rights Of Refugee Children, John Mukum Mbaku

Fordham International Law Journal

No abstract provided.

Defining Forced And Free Labor, 1930–1957, Christopher M. Roberts

Fordham International Law Journal

No abstract provided.

Collateral Damage And Individual Rights In Armed Conflict, Charles P. Trumbull Iv

Fordham International Law Journal

No abstract provided.

Reciprocation And Redistribution: The Emergence Of The Trade-Development Fault Line In The Contemporary Wto, Tana Johnson

Fordham International Law Journal

This Article argues that: 1) trade and development reflect different mindsets and policy implications; 2) both are deeply embedded in the legal past of the World Trade Organization (WTO); and 3) tensions between them jeopardize the WTO’s policymaking future. At the argument’s core is the contrast between “reciprocation” and “redistribution.” Trade is associated with reciprocation (bargaining and two-way concessions), while development is associated with redistribution (assistance and one- way concessions). The WTO’s predecessor—the General Agreement on Tariffs and Trade (GATT)—initially insisted on reciprocation but relaxed that insistence over time, eventually merging with redistribution-related elements of the defunct Havana Charter to …

Reframing Reparations: Sovereign Unjust Enrichment Claims As A Private Law Model For Reparatory Justice, Britta Redwood

Fordham International Law Journal

Over the past ten years, states in the Caribbean Community and Common Market (CARICOM) have called on European states to make reparations for transatlantic chattel slavery (TCS). CARICOM states have suggested that if former colonial powers were unwilling to adequately respond to their demands for reparations, they would pursue them through judicial means before international tribunals, such as the International Court of Justice (ICJ). If brought, these claims would face major jurisdictional challenges that would make it unlikely that they would be adjudicated on the merits. This Article proposes a novel approach to reparations claims. It demonstrates how these claims …

International Law Of Cyber Warfare: Analysing States And Ios' Legal Positions, Shiran Shahaf

Fordham International Law Journal

This Article examines the development of Customary International Law (CIL) and soft norms through the positions and interpretations of states and International Organizations (IOs) regarding the application of international law to cyber operations. The study presents a comprehensive dataset comprising the positions of thirty-four states and three prominent IOs: the North Atlantic Treaty Organization (NATO), the International Committee of the Red Cross (ICRC), and the African Union (AU). Through an analysis of this dataset, this Article argues that these positions and interpretations hold significant weight as opinio juris, reflecting the beliefs and intentions of states on the application of international …

The Re-Criminalization Of Sexual Minorities As A Testing Ground For International Human Rights Law In Africa, Matteo M. Winkler & Ilias Bantekas

Fordham International Law Journal

This Article scrutinizes the recently enacted statutes that re- criminalize sexual minorities in Africa from the standpoint of international human rights law (IHRL). These statutes are currently justified under cultural relativism, that is, the idea that African culture abhors homosexuality, which represents a malicious import from the Western world. We argue that the re-criminalization statutes violate IHRL in multiple stances and that in no way are these violations justifiable under cultural relativism. This does not mean that there is no virtue in cultural relativism, but a limit must be fixed to the dehumanization of minorities which is the intended purpose …

Banking On Empire: Citibank, Haiti, And The Fight For Corporate Accountability, Nell W. Fitzgerald

Fordham International Law Journal

For over a century, Citibank has exerted profound influence over Haiti’s financial system, embedding itself in the country’s economy through coercive debt structures and strategic alliances with the US military. This Note examines Citibank’s historical role in Haiti’s financial subjugation, from its facilitation of the 1915 US occupation to its monopolization of Haiti’s banking system and its abrupt departure in 2024. Through a legal analysis of potential avenues for redress—such as the Alien Tort Statute and unjust enrichment—the Note reveals how existing frameworks fail to hold corporations such as Citibank accountable for historical economic exploitation. While international law provides only …

That's One Small Sale For Man: On The Merits Of American Unilateralism In The Evolution Of International Space Law, Sam Grossman

Fordham International Law Journal

In 2020, the United States National Aeronautics and Space Administration (NASA) awarded four contracts to commercial companies to collect lunar resources as part of its Artemis program. This contract was the culmination of a controversial shift in global space policy, as it came shortly after an executive order from President Donald J. Trump. That executive order articulated America’s policy to encourage “public and private recovery and use of resources in outer space,” and to seek international support in doing so. Further, it reaffirmed the 2015 U.S. Commercial Space Launch Competitiveness Act (the “Space Act”), which entitled American individuals and corporations …

Economic Sanctions And The Law, Andrew Kent, Thomas H. Lee And Harlan Cohen

Fordham International Law Journal

No abstract provided.

Challenges To Economic Sanctions In The U.S. Courts, Christine Abely

Fordham International Law Journal

The start of the new Trump term has made more salient calls to amend the International Emergency Economic Powers Act (IEEPA)1 to place limitations on the use of economic sanctions by the executive branch. Though the first Trump administration and the Biden administration both used sanctions in large numbers, they did so in very different manners. This Essay explores the use of sanctions by President Biden and President Trump. It also details the grounds upon which sanctions may be subject to challenges in US courts, and the limits of the US judiciary to impose meaningful restraints on the executive’s use …

Honing The Economic Weapon: Application Of The Prosecutor's "Toolkit" In Sanctions Enforcement, Andrew Adams

Fordham International Law Journal

No abstract provided.

Our Humanity At Stake: The Human Costs Of Economic Sanctions For The Sanctioner, Alexandra Hofer

Fordham International Law Journal

No abstract provided.

Improving System-Level Outcomes Via Artificial Intelligence Decision Support In Kidney Utilization, Casey I. Canfield, Cihan H. Dagli, Daniel Burton Shank, Krista Lentine, Mark Schnitzler, Henry Randall, V. Sriram Siddhardh Nadendla, Brendon Cummiskey

Engineering Management and Systems Engineering Faculty Research & Creative Works

Transplantation provides patients suffering from end-stage kidney disease a better quality of life and long-term survival. However, over 20% of deceased donor kidneys are not utilized and never transplanted. While this is sometimes medically appropriate, this also reflects missed opportunities. We are designing Artificial Intelligence decision support for the kidney offer process to support both demand at the transplant center and supply at the organ procurement organization. This includes (1) developing deep learning models, (2) evaluating the effect of explainable interfaces, (3) improving fairness in the model output, (4) identifying factors that influence adoption decisions, and (5) conducting a randomized …

Spatial Analysis And Machine Learning Integration For Nutritional Status Mapping Using Ann And Random Forest Models, Desi Anis Anggraini, Fachrul Kurniawan, Fresy Nugroho, Meidya Koeshardianto, Mohammad Iqbal Bachtiar

Knowledge Engineering and Data Science

Nutritional problems among children under five remain a major public health challenge. This research seeks to create a spatially oriented system for evaluating and mapping nutritional status utilizing Artificial Neural Network (ANN) and Random Forest (RF) algorithms. Data obtained from the Sumenep District Health Office included age, weight, height, and gender variables. Both models were trained using a 70:30 data ratio and evaluated with accuracy, precision, recall, and F1-score metrics. The ANN model achieved an accuracy of 95.8%, while the RF model reached 97.7%. Classification results were visualized through a Geographic Information System (GIS) to illustrate spatial distribution and identify …

Time Series Forecasting With Lstm: An Extensive Content Analysis, Andri Pranolo, Xiaofeng Zhou, Yingchi Mao

Knowledge Engineering and Data Science

This paper presents a comprehensive bibliometric and content review of the trend, architecture, and application of long short-term memory (LSTM) models for time series forecasting. The study aims to provide insights into the overall statistics and distribution of papers focused on LSTM for forecasting. Additionally, the research questions address the most highly cited papers based on LSTM approaches in forecasting, the most productive journals in this field, and identifying trends, gaps, summary tasks and their performance, datasets availability, and future research directions for LSTM in forecasting. This paper is a comprehensive review of LSTM for forecasting from 2017 to 2023 …

From Data To Insight: A Machine Learning Approach In Classifying Dairy Cow Productivity Level And Identifying Important Influencing Variables, Fatkhurokhman Fauzi, Achmad Fauzan, Rhendy K P Widiyanto, Khairil Anwar Notodiputro, Bagus Sartono

Knowledge Engineering and Data Science

Identifying influential predictor variables is crucial for enhancing model interpretability in supervised classification. This study applies Permutation Variable Importance (PVI), a model-agnostic approach, to evaluate variable relevance after model fitting. Using data from the 2024 Indonesia Dairy Cow Productivity Survey, this research investigates five classification techniques: (1) Support Vector Machine (SVM), (2) Neural Network (NN), (3) k-Nearest Neighbors (kNN), (4) Naïve Bayes Classifier (NB), and (5) Logistic Regression (LR), to identify which method(s) yield the best performance based on evaluation metrics such as accuracy, sensitivity, and specificity. PVI is employed to identify the most influential predictor variables within the best-performing …

A Hybrid Soft Voting And Stacking-Based Meta-Learning Approach For Sentiment Analysis Of Bangkalan Batik, Moh. Imron Wahyudi, Lailil Muflikhah, Rizal Setya Perdana

Knowledge Engineering and Data Science

Sentiment analysis is an important field in Natural Language Processing (NLP) that focuses on processing consumer opinions to gain useful insights. The information generated from sentiment analysis can be used as a basis for business decision-making, service quality evaluation, and the formulation of more effective marketing strategies. In the local context, Bangkalan Batik, as one of Madura's distinctive cultural products, has high economic value and cultural identity. However, consumer reviews available online, for example through Google Maps, are still rarely utilized optimally by MSMEs as a source of strategic information. Therefore, this study was conducted to develop a sentiment classification …

Mapping Of Product Sales Potential Based On Brands In The East Kalimantan Region Using Hybrid Analytical Framework, Achmad F O Gaffar Mr, Mulyanto Mulyanto Mr, Arief Bw Putra Mr, Muhammad Taufiq Sumadi Mr, Emmilya Umma Aziza Gaffar

Knowledge Engineering and Data Science

In geographically dispersed markets, operational costs should be reflected in sales planning to support accurate performance evaluation. However, such considerations are often neglected in practice. This study proposes a hybrid analytical framework to map brand-based product sales potential, with and without operational cost consideration, using historical sales data from PT Karya Inti Total Anugerah (PT KITA) in East Kalimantan. The framework integrates spatial, statistical, and machine learning techniques. Principal Component Analysis (PCA) is used to reduce the dimensionality of variables related to travel distance, total sales, and units sold, where travel distance represents the primary contributor to operational costs. K-Means …

Comparative Analysis Of Deep Learning Algorithms For Predicting Enso Based On Non-Sequential Sampling Procedure Algorithms, Ria Faulina, Siti Hadijah Hasanah, Nuramaliyah Nuramaliyah, Ika Nur Laily Fitriana

Knowledge Engineering and Data Science

The El Niño–Southern Oscillation (ENSO) is a major climate phenomenon that significantly influences global weather patterns, particularly rainfall and temperature variability across different regions. Accurate ENSO forecasting is therefore essential to support disaster risk mitigation and strategic decision-making in climate-sensitive sectors such as agriculture, fisheries, and water resource management. This study investigates the performance of deep learning approaches for ENSO prediction using a non-sequential sampling procedure on historical climate data. Three models are comparatively evaluated: Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and a hybrid CNN–LSTM architecture. The results demonstrate that the hybrid CNN–LSTM model outperforms the standalone CNN …

Comparative Performance Of Vgg16 And Efficientnetb0-Based Transfer Learning For Brain Tumor Classification, Huzain Azis, Rizqi Ananda Jalil, Abdul Rachman Manga'

Knowledge Engineering and Data Science

The classification of brain tumors using Magnetic Resonance Imaging (MRI) images is essential for early diagnosis but remains challenging due to tumor diversity. This study evaluates the effectiveness of two distinct architectural approaches for feature extraction: VGG16, representing a classic sequential design, and EfficientNetB0, a modern architecture optimized for parameter efficiency through compound scaling. Using a dataset of 2,870 MRI images categorized into four classes, we implemented a static transfer learning strategy by freezing all pre-trained ImageNet weights to act as fixed feature extractors. Features were extracted from specific layers, the final pooling layer for VGG16 and the Global Average …

Ahp–Python Framework For Multicriteria Modeling Of Rice Production In Asean, Mayang Anglingsari Putri, Risqy Siwi Pradini, Anuraga Jayanegara, Alexander Dimas Yonanta Putra

Knowledge Engineering and Data Science

Rice production is a key indicator of food security and agricultural stability in Southeast Asia, especially among Association of Southeast Asian Nations (ASEAN) countries. Despite shared regional goals, disparities in rice production remain, and previous studies mainly rely on descriptive statistics, lacking structured multicriteria decision-making frameworks and computational tools for cross-country comparisons. This study addresses these gaps by proposing an integrated Analytic Hierarchy Process (AHP)–Python framework to evaluate and rank ASEAN rice production from 2013 to 2022. Three criteria are used: Total Production Volume (K1), Production Growth Trend (K2), and Recent Year Performance (K3), capturing both long-term consistency and short-term …

A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann

Knowledge Engineering and Data Science

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising …

Is There A Regulator In The Polish Electronic Delivery Market? The Role Of The President Of Uke, Mateusza Chołodecki

internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)

This paper examines the regulatory role of the President of the Office of Electronic Communications (UKE) within the electronic delivery market in Poland, focusing specifically on the statutory competencies granted by the Electronic Delivery Act. The paper identifies significant limitations of the President of UKE’s current regulatory scope, by analysing these competencies and their alignment with Poland’s postal and telecommunications regulatory frameworks. The analysis reveals that the regulatory powers of the President UKE that concern electronic delivery services are narrowly defined, primarily covering oversight over tariffs, T&Cs, and operator designation, without broader supervisory authority or clearly articulated regulatory objectives. Consequently, …

Characterizing Heat Transfer Performance In A Slurry Bubble Column Reactor Equipped With A Real Heat Exchanger, Dalia S. Makki, Hasan Sh Majdi, Amer A. Abdulrahman, Abbas J. Sultan, Bashar J. Kadhim, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Abstract: This study examines the impact of equipping a real heat exchanger in a slurry bubble column SBC on instantaneous and local heat transfer coefficients IHTC and LHTC, as well as the overall heat transfer coefficient U, employing advanced heat transfer techniques. The experiments were conducted in a 0.15 m inner diameter Plexiglas SBC with varying gas flowrates Ug (0.14–0.35) m/s at several radial sites along the column's diameter (±0.18, ±0.46, and ± 0.74) and three axial locations (H/D = 2, 3 and 4). To simulate the industrial Fischer–Tropsch bubble column reactor FT-BCR, a real heat exchanger consisting of 18 …