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Fish Tissue Digestion And Microplastic Polymer Identification Protocol Using Open-Source Ftir Database, Shawn L. Kissinger, Vick-Ariel Privert, Jason Bystriansky, Kyle A. Grice Jul 2026

Fish Tissue Digestion And Microplastic Polymer Identification Protocol Using Open-Source Ftir Database, Shawn L. Kissinger, Vick-Ariel Privert, Jason Bystriansky, Kyle A. Grice

DePaul Discoveries

Microplastic (MP) contamination in aquatic ecosystems poses significant concerns for environmental and public health, as seafood represents a critical food source worldwide. Despite increasing evidence of MP presence in marine organisms, efficient and accessible detection methods remain essential for characterizing contamination patterns and informing regulatory frameworks. This study extracted MPs from brain, gill, intestine, liver, and muscle tissues of gilt-head bream (Sparus aurata) and European sea bass (Dicentrarchus labrax), two commercially important species from the Gulf of Cádiz, Spain, using a NaOH–HNO₃ chemical digestion protocol. Isolated particles were characterized by Fourier Transform Infrared (FTIR) spectroscopy, with …


Crystal Structural Analysis Of Medieval Human Bones Using Wide-Angle X-Ray Scattering, Selly Altangerel, Leslie Gracia Jul 2026

Crystal Structural Analysis Of Medieval Human Bones Using Wide-Angle X-Ray Scattering, Selly Altangerel, Leslie Gracia

DePaul Discoveries

Female human second metacarpal (mc2) bones from a medieval cemetery at Wharram Percy, England, were studied using high-energy Wide-Angle X-ray Scattering (WAXS) at beamline 1-ID of the Advanced Photon Source at Argonne National Laboratory. The age-at-death of 33 samples was determined from molar wear and classified into 3 groups:  18-30, 30-50, and 50+ years old.  Rietveld refinements of the WAXS data were performed to obtain lattice parameters of the hexagonal carbonated apatite phase (cAp). Individual fittings for cAp peaks 00.2, 00.4, and 31.0 were performed to obtain their widths and correlate them to collagen retention. For the three samples described …


Clearing The Air: Tracking Spatial And Temporal Pm2.5 Variability Along A Biking Transect In Chicago, Beau R. Rass Jul 2026

Clearing The Air: Tracking Spatial And Temporal Pm2.5 Variability Along A Biking Transect In Chicago, Beau R. Rass

DePaul Discoveries

Fine particulate matter (PM₂.₅) poses significant risks to human health and disproportionately affects marginalized communities in urban environments (World Health Organization [WHO], 2021; Tessum et al., 2021). Using low-cost mobile sensors, this study explored spatiotemporal PM₂.₅ concentration patterns along a north–south transect of Halsted Street in Chicago. A 2B Technologies Portable Aerosol Monitor (PAM) mounted on a bicycle was used to continuously record PM₂.₅ concentrations with associated GPS coordinates at approximately two-second intervals during 16 sampling events between 08-12-2025 and 10-05-2025. PM₂.₅ concentrations did not differ significantly among the South Side, West Loop, and North Side regions, contrary to the …


Depaul Discoveries Volume 15 Cover Art, Dina Khdair Jul 2026

Depaul Discoveries Volume 15 Cover Art, Dina Khdair

DePaul Discoveries

No abstract provided.


A Holistic Approach For Workforce Scheduling And Routing, Kerem Can Manalp, Ansel Kaplan Erol, Kutluhan Erol, Cem Evrendi̇lek Jul 2026

A Holistic Approach For Workforce Scheduling And Routing, Kerem Can Manalp, Ansel Kaplan Erol, Kutluhan Erol, Cem Evrendi̇lek

Turkish Journal of Electrical Engineering and Computer Sciences

The workforce scheduling and routing problem (WSRP) involves assigning tasks across multiple locations while accounting for varying travel times, service durations, time windows, and skill requirements in a wide range of industries, from healthcare to telecommunications. This paper presents a mixed-integer programming model for the WSRP that balances the trade-off between cost and customer satisfaction using a score-generation function and subsequently evaluates the trade-off between solution quality and computation time for several algorithms on well-known datasets. We demonstrate that our model effectively balances cost, service-level agreement satisfaction, and task priorities while providing high-quality solutions in a timely manner. Observing that …


Cnkg: Harnessing Large Language Models For Cognitive Neuroscience Knowledge Graph Construction, Ali Sarabadani, Kheirollah Rahsepar Fard, Hamid Dalvand Jul 2026

Cnkg: Harnessing Large Language Models For Cognitive Neuroscience Knowledge Graph Construction, Ali Sarabadani, Kheirollah Rahsepar Fard, Hamid Dalvand

Turkish Journal of Electrical Engineering and Computer Sciences

Textual resources are among the most valuable sources of information in cognitive neuroscience (CN) for understanding and investigating brain activity and cognitive processes. Extracting and constructing knowledge graphs (KGs) from these texts can facilitate medical research by providing deeper insights into neurological diseases and brain function. In recent years, the use of large language models (LLMs) in natural language processing (NLP) has become increasingly widespread, significantly enhancing the extraction of meaningful information from large volumes of text. This study proposes a novel approach for constructing and evaluating a specialized knowledge graph, termed the cognitive neuroscience knowledge graph (CNKG), from scientific …


Llm-As-A-Judge For Infection Prevention And Control And Antimicrobial Resistance Impact: Comparing Three Main Llms Vs. Human Experts' Assessment, Marcello Di Pumpo, Leonardo Villani, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Patrizia Laurenti, Vittorio Maio, Stefania Boccia, Walter Ricciardi Jul 2026

Llm-As-A-Judge For Infection Prevention And Control And Antimicrobial Resistance Impact: Comparing Three Main Llms Vs. Human Experts' Assessment, Marcello Di Pumpo, Leonardo Villani, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Patrizia Laurenti, Vittorio Maio, Stefania Boccia, Walter Ricciardi

College of Population Health Faculty Papers

BACKGROUND: Large language models (LLMs) are increasingly used to generate health information, yet their reliability as evaluators remains unclear. This study investigated the feasibility of an LLM-as-a-judge methodology in the context of infection prevention and antimicrobial resistance (AMR), comparing automated ratings with human expert benchmarks.

METHODS: We performed a secondary analysis of an expert-annotated dataset of health messages. Three leading LLMs (ChatGPT, Claude, Gemini) independently evaluated the same messages using an adapted DISCERN tool across five domains: information reliability, quality, AMR impact, persuasiveness, and overall score. We utilized descriptive statistics, intra-rater reliability tests, and mixed-effects ordinal regression to analyze divergence …


Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng. Jul 2026

Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's extractive, energy, logistics, and agro-industrial sectors has introduced a cybersecurity challenge of growing urgency: industrial networks that were designed for operational efficiency are increasingly exposed to cyber threats for which neither the organizations nor the regulatory frameworks are adequately prepared. This article examines the cybersecurity governance of IIoT systems in a developing African economy, using Mozambique as a primary case study and drawing comparative lessons from South Africa, Rwanda, and Kenya. Through an integrative literature review and documentary analysis of national digital, cybersecurity, and industrial policies, the …


Human-Driven, Autonomous, Or Hybrid? The Optimal Fleet Configurations For Ride-Hailing Platforms, Wenjing Li, Yali Zhang, Jun Sun, Zhaojun Yang Jul 2026

Human-Driven, Autonomous, Or Hybrid? The Optimal Fleet Configurations For Ride-Hailing Platforms, Wenjing Li, Yali Zhang, Jun Sun, Zhaojun Yang

Information Systems Faculty Publications

The growing commercialization of autonomous vehicles (AVs) is reshaping consumer service preferences and prompting ride-hailing platforms to redesign fleet structures that accommodate the coexistence of human-driven vehicles (HVs) and AVs. This article develops a queueing game framework that incorporates vehicle heterogeneity and consumer preference differences to systematically compare three fleet configuration strategies: the pure HV (PHV) strategy (HVs only), the pure AV (PAV) strategy (AVs only), and the hybrid strategy (both HVs and AVs). The analysis highlights how consumer mismatch losses, AV operating costs, and service rates jointly shape equilibrium outcomes. Results show that when consumer mismatch losses are moderate, …


Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof Jul 2026

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …


Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Insufficiently Reclaimed Sites Quality Assurance Project Plan, Molly Roby Jul 2026

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Insufficiently Reclaimed Sites Quality Assurance Project Plan, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Unreclaimed Sites Quality Assurance Project Plan, Emma Rott Jul 2026

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Unreclaimed Sites Quality Assurance Project Plan, Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Unreclaimed Sites Quality Assurance Project Plan, Emma Rott Jul 2026

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit Unreclaimed Sites Quality Assurance Project Plan, Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed Jul 2026

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …


Feasibility And Acceptability Of Automated Texts To Offer, Screen, And Enroll Patients In A Cancer Clinical Trial Financial Reimbursement Program: Mixed Methods Study, Ashley E Santaniello, Hena Patel, Sarah Milinski, Mohan Balachandran, Vivian Nguyen, E. Paul Wileyto, Robert H. Vonderheide, Dana Dornsife, Robert G. Johnson, Carmen E. Guerra Jul 2026

Feasibility And Acceptability Of Automated Texts To Offer, Screen, And Enroll Patients In A Cancer Clinical Trial Financial Reimbursement Program: Mixed Methods Study, Ashley E Santaniello, Hena Patel, Sarah Milinski, Mohan Balachandran, Vivian Nguyen, E. Paul Wileyto, Robert H. Vonderheide, Dana Dornsife, Robert G. Johnson, Carmen E. Guerra

Student Papers, Posters & Projects

BACKGROUND: Out-of-pocket (OOP) costs pose a significant barrier to participating in cancer clinical trials (CCTs). Financial reimbursement programs (FRPs) that reduce the burden of OOP costs can support participation in CCTs if the information is readily available to participants at the time of enrollment. Prior studies have shown the importance and impact of FRPs, but despite improvements, significant barriers still remain.

OBJECTIVE: This study was designed to explore the feasibility and acceptability of automated texts designed to offer, screen, and enroll CCT participants in an FRP for OOP travel and lodging-related clinical trial costs.

METHODS: This study used a mixed …


Decoding The Allosteric Grammar Of Protein Kinases: A Dual-Stream Framework Integrating Protein Language Models And Energy Landscape Frustration Analysis, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlova, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker Jul 2026

Decoding The Allosteric Grammar Of Protein Kinases: A Dual-Stream Framework Integrating Protein Language Models And Energy Landscape Frustration Analysis, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlova, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in structural biology, frequently representing a “blind spot” for sequence-based artificial intelligence (AI) models. We present a protein language model (PLM)-guided approach complemented by the energy landscape frustration analysis as a dual-stream framework to investigate the relationship between AI prediction of binding sites and biophysical organization of regulatory pockets across the human kinome. By probing a fine-tuned residue-level PLM classifier across 453 kinase structures, a clear performance gap is discovered between highly predictable orthosteric pockets (Types I, I.5, and II) and poorly resolved distal allosteric sites (Type …


Rearing Of Lambs On Intensively Managed Pastures In The Carpathian Region And Its Problems, Jozef Habovstiak Jul 2026

Rearing Of Lambs On Intensively Managed Pastures In The Carpathian Region And Its Problems, Jozef Habovstiak

IGC Proceedings (1977-2023)

One of the patterns of utilizing the good pro­ductivity of grass stands in the Carpathian region consists in the intensive rearing of lambs in a pasture system. In the individual pasture farms, 350 to 700 kg of meat per ha were pro­duced over a grazing period of 130 to 150 days. A very important factor in this pasture system is the planning of technical equipment (fences, sheds, etc.). The most critical problem is, however, to keep the lambs in good health. In each pasture farm, therefore, periodical veterinary attendance and strict sanitary ar­rangements must be integral parts of the fight …


Ecorxchoice.Com— An Sidp-Funded Calculator Integrating Environmental Metrics With Antimicrobial Stewardship, Pamela S. Lee, Hugh Gordon, Theresa Ferguson, Tien Dinh, Misty Vu, Marina Nguyen, Chaynor Hsiao, Gary Fong Jul 2026

Ecorxchoice.Com— An Sidp-Funded Calculator Integrating Environmental Metrics With Antimicrobial Stewardship, Pamela S. Lee, Hugh Gordon, Theresa Ferguson, Tien Dinh, Misty Vu, Marina Nguyen, Chaynor Hsiao, Gary Fong

Pharmacy Faculty Articles and Research

Healthcare sustainability is a multidisciplinary field that seeks to mitigate healthcare’s environmental consequences. Antimicrobial stewardship and healthcare sustainability both aim to reduce wasteful resource use while maximizing patient safety. However, a strong partnership between antimicrobial stewardship and healthcare sustainability has yet to develop. To facilitate environmentally sustainable decision-making in antimicrobial prescribing, we developed a web-based calculator (EcoRxChoice (www.ecorxchoice.com)) where users can enter different antimicrobial regimens and compare how much plastic waste each regimen creates. This work was supported in part by the Society of Infectious Diseases Pharmacists (SIDP), reflecting SIDP’s commitment to strengthening sustainability as a practical extension of antimicrobial …


Mental Health Self-Perceptions And Resource Utilization In Undergraduate Students At Binghamton University, Nicole J. Dreznin, Sarah Marcus Jul 2026

Mental Health Self-Perceptions And Resource Utilization In Undergraduate Students At Binghamton University, Nicole J. Dreznin, Sarah Marcus

Binghamton University Undergraduate Journal

Undergraduate students face increasing rates of mental health challenges, however discrepancies in mental health literacy and utilization of resources may exist across student populations. This study examined the perceptions of mental health in undergraduate students at Binghamton University and if they differed among STEM vs non-STEM, man vs. women, and first-generation vs. continuing generation undergraduate students. A 20-question survey, containing 5 demographic questions and 15 mental health related questions was distributed through Qualtrics to 9 undergraduate classes. The available response choices were based on the Likert scale. A total of 1266 students participated.  Chi square tests of independence were done …


Mapping And Diagnosing Local Climate Zones For Urban Heat Assessment And Planning In Tropical Cities, Inuwa Sani Sani, Adi Wibowo Jul 2026

Mapping And Diagnosing Local Climate Zones For Urban Heat Assessment And Planning In Tropical Cities, Inuwa Sani Sani, Adi Wibowo

Journal of Environmental Science and Sustainable Development

Rapid urbanization and rising heat risk are intensifying thermal stress and environmental degradation in tropical cities. This study applies the Local Climate Zone (LCZ) framework to examine how urban morphology influences land surface temperature (LST) and to support evidence-based urban planning and climate adaptation in Makassar, Indonesia. We hypothesized that compact built LCZs (1–3) exhibit significantly higher LST than vegetated LCZs (A–G). Landsat 8 OLI and MODIS LST datasets (2013–2023) were processed in Google Earth Engine to evaluate decade-long urban development and thermal dynamics. LCZs were classified using a Random Forest (RF) model trained with approximately 100 manually digitized polygons …


Development And Evaluation Of A Community-Based Water Quality Monitoring Program In Mississippi, Beth H. Baker, Lily Langstaff, Mona Dominguez, Sergio Ruiz-Cordova, Eric Sparks, Madison Gnoose Jul 2026

Development And Evaluation Of A Community-Based Water Quality Monitoring Program In Mississippi, Beth H. Baker, Lily Langstaff, Mona Dominguez, Sergio Ruiz-Cordova, Eric Sparks, Madison Gnoose

Journal of Extension

Community-based water monitoring (CBWM) programs provide mechanisms for education and water quality data collection. In this pilot program, we adapted a long-standing CBWM program from Alabama to Mississippi. We assessed the efficacy of the initial program implementation in promoting changes in knowledge, skills, and behavior of participants. Results indicated that 94% of survey respondents reported increased knowledge, 96% reported learning a new skill, and 99% reported an intention to start monitoring, but only 33% engaged in active monitoring. This evaluation summary offers data-driven strategies to expand and adopt CBWM into Extension curricula that build knowledge, skills, and capacity for community …


Heterogeneous Graph-Augmented Contrastive Learning For Extreme Multi-Class Fiqh Classification, Ali A. Jalil Jul 2026

Heterogeneous Graph-Augmented Contrastive Learning For Extreme Multi-Class Fiqh Classification, Ali A. Jalil

Al-Bahir

  • Background/Introduction: Fine-grained text classification in the field of Islamic Jurisprudence (Fiqh) is difficult because of the structural interdependence of the legal concepts and the extremely multi-class long-tail data distribution (667 classes with 5,979 samples, 52.2% of which contain less than 5 samples). The main problem with traditional flat classifiers is that they assume that target classes are independent and orthogonal output neurons which discards very important relational semantics.
  • Objectives: This paper seeks to remediate this extreme imbalance and maintain structural taxonomy by modeling the structural space of classification label space itself as an object to be learned, while giving a …


Influence Of Feeding On Health And Productivity Of Ruminants, Alexander Sommer Jul 2026

Influence Of Feeding On Health And Productivity Of Ruminants, Alexander Sommer

IGC Proceedings (1977-2023)

As to the utilization of plant matter not suited for direct consumption by man, ruminants are of outstanding importance. This fact is related with the function of their specific stom­ach system. The paper discusses the microbial protein synthesis from NPN compounds. When 50 per cent of digestible crude protein required by fattening cattle were replaced, daily live weight gains of 997 g were reached; beef quality was not affected. Similarly favourable results were obtained with dairy cows when replacing by NPN compounds 50 to 100 per cent of extracted meals. Further on, the problem of crude-fibre diges­tion in connection with …


A Differential Equation–Based Epidemiological Model Of Post-Operative Chronic Pain In Scoliosis Patients With Data-Driven Analysis, Paige Zhu, Padmanabhan Seshaiyer Jul 2026

A Differential Equation–Based Epidemiological Model Of Post-Operative Chronic Pain In Scoliosis Patients With Data-Driven Analysis, Paige Zhu, Padmanabhan Seshaiyer

CODEE Journal

Chronic post-surgical pain (CPSP) is a common and often overlooked complication following surgical correction of idiopathic scoliosis, impacting long-term patient wellbeing despite improvements in surgical outcomes. This project introduces a novel epidemiological framework to model the progression of CPSP using a compartmental structure. By applying a coupled system of nonlinear differential equations, we simulate pain trajectories over time and assess the effectiveness of surgical interventions. The model is implemented for a single-cohort population and extended to a two-cohort design to compare outcomes between Posterior Spinal Fusion (PSIF) and Vertebral Body Tethering (VBT) procedures. Further stratification by patient age enables us …


Final Basinwide Quality Management Plan (Qmp) – 2026-2030, Revision 0, Pioneer Technical Services, Inc. Jul 2026

Final Basinwide Quality Management Plan (Qmp) – 2026-2030, Revision 0, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Butte Reclamation Evaluation System Corrective Action Plans For Reclaimed Sites 2025 Bres Site Specific Corrective Action Plans For Quadrant 2, Butte-Silver Bow Department Of Reclamation And Environmental Services Jul 2026

Butte Reclamation Evaluation System Corrective Action Plans For Reclaimed Sites 2025 Bres Site Specific Corrective Action Plans For Quadrant 2, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Perspectives Of Scholars, Families, And Advisors On 360-Degree Video Technology In Graduate Education, Oluwatobi A. Mogbojuri, Bridget A. Walsh, Matthew Aguirre Jul 2026

Perspectives Of Scholars, Families, And Advisors On 360-Degree Video Technology In Graduate Education, Oluwatobi A. Mogbojuri, Bridget A. Walsh, Matthew Aguirre

Journal of Human Sciences and Extension

This study explored the experiences of scholars in creating and sharing 360-degree videos, as well as the perspectives of families and advisors who viewed the videos. Focus groups and individual interviews were conducted online using a videoconferencing platform. Perspectives from 20 participants (15 scholars, three advisors, and two family members) were analyzed using thematic analysis. Three primary themes were identified: (1) barriers to 360-degree video use, (2) perspective shifts and limited change, and (3) storytelling and scholar visibility. Findings suggest that 360-degree video technology may be an innovative tool for enhancing recruitment and retention, especially for historically marginalized groups, through …


The Implementation Of Smart City Initiatives In Addressing Climate Change Challenges For The Transformation Of Jakarta Into A Resilient Global City, Roby Dwiputra, Nurulitha Andini Susetyo, Apriano Hanindito Amanza Jul 2026

The Implementation Of Smart City Initiatives In Addressing Climate Change Challenges For The Transformation Of Jakarta Into A Resilient Global City, Roby Dwiputra, Nurulitha Andini Susetyo, Apriano Hanindito Amanza

CSID Journal of Infrastructure Development

Jakarta, a densely populated delta city and Indonesia's former capital undergoing post-relocation transformation, faces escalating climate change impacts, including land subsidence and tidal flooding. Annual subsidence rates of 5–25 cm in northern areas and recurrent tidal floods, including the December 2025 event, pose significant threats to urban sustainability and economic stability. This study employs a qualitative descriptive–analytic approach using a single-case study of Jakarta. Smart city initiatives are examined as governance instruments for climate resilience, drawing on secondary data from regulatory documents, real-time digital monitoring platforms, and global smart city performance indicators. The analysis applies thematic and comparative techniques supported …


Insurgent Until Proven Innocent: Land, Power, And The Right To Defend Rights, Kelsey Jost-Creegan Jul 2026

Insurgent Until Proven Innocent: Land, Power, And The Right To Defend Rights, Kelsey Jost-Creegan

Michigan Journal of International Law

As the climate crisis intensifies, advocates worldwide have stood up to defend their communities, territories, and environment. In response, they have faced violent retaliation. This repression persists despite evolving international, regional, and national-level legal frameworks around the “right to defend rights” and the “right to protection.” This article begins by providing a comprehensive overview of this evolving legal landscape. Against this backdrop, the article examines the tactics and architectures of violence used to repress land and environmental defenders through the lens of counterinsurgency theory.

The article proposes a typology of counterinsurgent violence including: surveillance; stigmatization; criminalization; arbitrary detention; infiltration; cooptation; …


The Interwoven Dynamics Of Climate, Fire, Resilience And Orangutan Survival In Central Kalimantan’S Peat Swamp Forest, Putu Pujiantari Jul 2026

The Interwoven Dynamics Of Climate, Fire, Resilience And Orangutan Survival In Central Kalimantan’S Peat Swamp Forest, Putu Pujiantari

Graduate Theses and Dissertations

Tropical peat swamp forests are globally significant carbon reservoirs and biodiversity strongholds, yet they face escalating threats from climate change, fire, and anthropogenic disturbances. This dissertation investigates the interwoven dynamics of climate, fire, forest resilience, and orangutan survival in Central Kalimantan, Indonesia, a region which was transformed by the failed Mega Rice Project and recurrent catastrophic wildfires for decades. Using a multi-scale approach that integrates remote sensing time-series analysis (2001–2024),nlandscape-scale disturbance mapping (2005–2025), and fine-scale movement ecology, this research tests three core hypotheses: (1) moisture availability is the dominant climatic driver of wildfire activity, operating through non-linear thresholds; (2) post-fire …