The Critical Barrier to Civil War Settlement
Barbara F. Walter
Unlike interstate wars, civil wars rarely end in negotiated settlements. Between 1940 and 1990 55 percent of interstate wars were resolved at the bargaining table, whereas only 20 percent of civil wars reached similar solutions. Instead, most internal wars ended with the extermination, expulsion, or capitulation of the losing side. In fact, groups fighting civil wars almost always chose to fight to the finish unless an outside power stepped in to guarantee a peace agreement. If a third party agreed to enforce the terms of a peace treaty, negotiations always succeeded regardless of the initial goals, ideology, or ethnicity of the participants. If a third party did not intervene, these talks usually failed.
An Introduction to Geotechnical Engineering
R. Holtz, W. D. Kovacs
Gavel: Agent Meets Checklist for Evaluating LLMs on Long-Context Legal Summarization
Yao Dou, Wei Xu
Large language models (LLMs) now support contexts of up to 1M tokens, but their effectiveness on complex long-context tasks remains unclear. In this paper, we study multi-document legal case summarization, where a single case often spans many documents totaling 100K-500K tokens. We introduce Gavel-Ref, a reference-based evaluation framework with multi-value checklist evaluation over 26 items, as well as residual fact and writing-style evaluations. Using Gavel-Ref, we go beyond the single aggregate scores reported in prior work and systematically evaluate 12 frontier LLMs on 100 legal cases ranging from 32K to 512K tokens, primarily from 2025. Our results show that even the strongest model, Gemini 2.5 Pro, achieves only around 50 of $S_{\text{Gavel-Ref}}$, highlighting the difficulty of the task. Models perform well on simple checklist items (e.g., filing date) but struggle on multi-value or rare ones such as settlements and monitor reports. As LLMs continue to improve and may surpass human-written summaries -- making human references less reliable -- we develop Gavel-Agent, an efficient and autonomous agent scaffold that equips LLMs with six tools to navigate and extract checklists directly from case documents. With Qwen3, Gavel-Agent reduces token usage by 36% while resulting in only a 7% drop in $S_{\text{checklist}}$ compared to end-to-end extraction with GPT-4.1.
Physicochemical properties of lunar regolith simulant for in situ oxygen production
Alyssa Ang De Guzman, Anish Mathai Varghese, Saif Alshalloudi
et al.
Permanent lunar settlements will rely on in situ oxygen production from regolith for life support and propulsion. While oxygen is abundant in lunar materials, it is chemically bound within metal oxides whose extractability depends strongly on regolith composition and processing strategy. In this study, we validate and characterize high-fidelity lunar regolith simulants representative of the lunar highlands and south pole using scanning electron microscopy with energy-dispersive X-ray spectroscopy, X-ray diffraction, Brunauer-Emmett-Teller surface area and pore structure analysis, and hydrogen temperature-programmed reduction. The simulants exhibit strong mineralogical and compositional fidelity to returned Apollo and Chang'e samples, with ilmenite confirmed as the most readily reducible oxygen-bearing phase. However, despite low ilmenite abundance, bulk highland simulants display favorable reduction behavior arising from distributed Fe-bearing silicate and glassy phases, as well as surface and microstructural properties that influence gas-solid interactions. Adsorption experiments with gases (H2, CH4, and CO2) and water indicate that mineralogical heterogeneity and pore accessibility influence their uptake in simulants. These results indicate that oxygen extraction behavior in realistic lunar regolith is governed by whole-regolith response rather than ilmenite content alone, supporting the option of whole-regolith processing strategies for oxygen production in lunar in situ resource utilization architectures.
en
physics.space-ph, cond-mat.mtrl-sci
Nauplius Optimisation for Autonomous Hydrodynamics
Shyalan Ramesh, Scott Mann, Alex Stumpf
Autonomous Underwater vehicles must operate in strong currents, limited acoustic bandwidth, and persistent sensing requirements where conventional swarm optimisation methods are unreliable. This paper formulates an irreversible hydrodynamic deployment problem for Autonomous Underwater Vehicle (AUV) swarms and presents Nauplius Optimisation for Autonomous Hydrodynamics (NOAH), a novel nature-inspired swarm optimisation algorithm that combines current-aware drift, irreversible settlement in persistent sensing nodes, and colony-based communication. Drawing inspiration from the behaviour of barnacle nauplii, NOAH addresses the critical limitations of existing swarm algorithms by providing hydrodynamic awareness, irreversible anchoring mechanisms, and colony-based communication capabilities essential for underwater exploration missions. The algorithm establishes a comprehensive foundation for scalable and energy-efficient underwater swarm robotics with validated performance analysis. Validation studies demonstrate an 86% success rate for permanent anchoring scenarios, providing a unified formulation for hydrodynamic constraints and irreversible settlement behaviours with an empirical study under flow.
Giving an account of oneself: Tracing the Moravian Edwards family through six generations of Lebenslauf life writing
Lindy Stiebel
One fundamental way to leave a mark in life is to write an account of oneself, whether as a memoir or an autobiographical sketch. For Moravians, this practice is a spiritual requirement and takes the form of a Lebenslauf, which translates to ‘life account’. The Edwards family, of which I am a descendant, has been Moravian for many generations and has lived in Moravian settlements across several countries, including England, Ireland, Canada and South Africa. Family records and archival searches have uncovered a number of Edwards’ Lebenslauf memoirs – both short and long, authored by men and women, and encompassing both autobiographical and biographical narratives. These works have appeared in church records, and some remain unpublished, intended to be passed down to family descendants.
Contribution: This article aims to trace the development of the Moravian Church movement in the United Kingdom and South Africa through the life writings of the Edwards family across six generations. It will highlight the differences between the writings of men and women, as well as track the changes in social and religious norms experienced by those who lived through these periods, starting in 18th-century Europe and concluding in the 21st century with the South African Moravian descendants, who have since spread further afield.
The Bible, Practical Theology
Innovation of triangle-shaped plastic bricks: An eco-friendly solution for sustainable community empowerment
Ely Mulyati, Anggi Purnama Sari Dewi, Andrian Noviandry
et al.
This community service activity aims to empower the community in innovative and sustainable plastic waste management. The program is implemented through three main activities, namely socialization of plastic waste management and circular economy, training in making triangular bricks from plastic waste, and creating social media accounts to market Bank Sampah products. The brick-making process involves shredding plastic using a shredder, conducting a sieve analysis to ensure uniform particle size, then mixing it with sand and cement before molding it into a triangular shape. From the initial stage of production, 300 triangular bricks were successfully produced with lightweight and strong characteristics. Through this activity, the community not only gained technical skills but also digital promotion skills to expand their market reach. This program demonstrates that collaboration between universities and the community can yield concrete solutions for plastic waste management while supporting the implementation of a circular economy and sustainable development.
Human settlements. Communities
StealthDust: Secret Quorums for Faster Fractional Spending
Maxence Perion, Sara Tucci-Piergiovanni, Rida Bazzi
With the goal of building a decentralized and fully parallel payment system, we address the Fractional Spending Problem using (k1, k2)-quorum systems - both introduced by Bazzi and Tucci-Piergiovanni (PODC 2024). Fractional spending enables payments without immediate validation of an entire quorum, as necessary in classical approaches. Multiple spending from a same fund can occur concurrently, with final settlement involving previously contacted quorums. To tolerate a rushing-adaptive adversary, the composition of these quorums must stay hidden until settlement succeeds. We propose a new abstraction called secret quorums - of independent interest - that fulfill this property and implement it through ring verifiable random functions. We then propose a new protocol called StealthDust, where secret quorums allow to reduce payment latency from five to three communications steps and improve settlment message complexity from O(n^3) to O(n^2) compared to the original protocol.
FairRelay: Fair and Cost-Efficient Peer-to-Peer Content Delivery through Payment Channel Networks
Jingyu Liu, Yingjie Xue, Zifan Peng
et al.
Peer-to-Peer (P2P) content delivery, known for scalability and resilience, offers a decentralized alternative to traditional centralized Content Delivery Networks (CDNs). A significant challenge in P2P content delivery remains: the fair compensation of relayers for their bandwidth contributions. Existing solutions employ blockchains for payment settlements, however, they are not practical due to high on-chain costs and over-simplified network assumptions. In this paper, we introduce FairRelay, a fair and cost-efficient protocol that ensures all participants get fair payoff in complex content delivery network settings. We introduce a novel primitive, Enforceable Accumulative Hashed TimeLock Contract (Enforceable A-HTLC), designed to guarantee payment atomicity - ensuring all participants receive their payments upon successful content delivery. The fairness of FairRelay is proved using the Universal Composability (UC) framework. Our evaluation demonstrates that, in optimistic scenarios, FairRelay employs zero on-chain costs. In pessimistic scenarios, the on-chain dispute costs for relayers and customers are constant, irrespective of the network complexity. Specifically, empirical results indicate that the on-chain dispute costs for relayers and customers are 24,902 gas (equivalent to 0.01 USD on Optimism L2) and 290,797 gas (0.07 USD), respectively. In a 10-hop relay path, FairRelay introduces less than 1.5% additional overhead compared to pure data transmission, showcasing the efficiency of FairRelay.
Central Bank Digital Currency: The Advent of its IT Governance in the financial markets
Carlos Alberto Durigan Junior, Mauro De Mesquita Spinola, Rodrigo Franco Gonçalves
et al.
Central Bank Digital Currency (CBDC) can be defined as a virtual currency based on node network and digital encryption algorithm issued by a country which has a legal credit protection. CBDCs are supported by Distributed Ledger Technologies (DLTs), and they may allow a universal means of payments for the digital era. There are many ways to proceed, they all require central banks to develop technological expertise. Considering these points, it is important to understand the new IT governance in the financial markets due to CBDC and digital economy. Information Technology is an essential driver that will allow the new financial industry design. This paper has the objective to answer two questions through an updated Systematic Literature Review (SLR). The first question is What IT resources and tools have been considered or applied to set the governance of CBDC adoption? The second; Identify IT governance models in the financial market due to CBDC adoption. Bank for International Settlements (BIS) publications, Scopus and Web of Science were considered as sources of studies. After the strings and including criteria were applied, fourteen papers were analyzed. This paper finds many IT resources used in the CBDC adoption and some preliminary IT design related to the IT governance of CBDC, in the results and discussion section the findings are more detailed. Finally, limitations and future work are considered. Keywords: Blockchain, Central Bank Digital Currency (CBDC), Digital Economy, Distributed Ledger Technology (DLT), Information Technology (IT), IT governance.
Town in the New World During the Spanish Colonization of the Americas
A. F. Kofman
Spanish conquistadors drew a clear distinction between their objectives as they embarked on expeditions, with two contrasting verbs highlighting the difference: the verb poblar (to populate) involved establishing settlements and towns (pueblos), whereas the verb rescatar implied trading or even raiding the land. Founding a town meant the conquistadors started to colonize the area, relying on it as a «door» to go «deep in to the territory». Spanish colonization of the New World was marked by an important feature: any settlement was granted the status of a town and center from the outset. Any fort served as a town, a foothold for settlement in a vast unexplored area; it was the antithesis of endless and chaotic wilderness. The image of an indigenous town that conquistadors had in mind manifested itself in two forms, namely, a real town and a mythical one. While the perception of Spanish towns in the New World was unfailingly positive, an indigenous town, whether a real or mythical one, was deemed ambivalent, dangerous yet appealing.Mythical indigenous towns played a more important role in the history of Spanish exploration and conquest of the New World than real indigenous towns. It was the quest for mythical kingdoms and towns that became the main driving force behind Spanish colonization of the New World, as most major expeditions in America were launched to pursue pipe dreams. Those expeditions failed to generate wealth yet they resulted in geographical discoveries. Conquistadors’ fantasies prompted them to explore the great wilderness in a short period of time from a historical perspective.
Empowering local food security
Vaishali Sharma
Community food systems, exemplified by initiatives like community grain banks (CGBs), play a crucial role in achieving Sustainable Development Goal 2 (SDG 2), which aims to achieve zero hunger and ensure food security by 2030. This paper draws upon a systematic review of the literature on CGBs to emphasize the relevance of community institutions in enhancing local food security. Adhering to Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, this paper reviews 16 academic articles, two theses, and 19 online sources. The study reveals that CGBs offer immediate relief during food shortages, empower women, stabilize farmers’ income, reduce debt burdens, foster social trust, and enhance community resilience. This review highlights the need for international stakeholders to prioritize supporting CGBs to preserve the self-sustaining systems. Tailoring CGB designs to community-specific needs could significantly enhance local food security, offering actionable strategies to mitigate severe food insecurity globally and regionally.
Agriculture, Human settlements. Communities
Optimalisasi Situs Web Sekolah Sebagai Sarana Publikasi dan Promosi Melalui Peningkatan Kapasitas Jurnalistik Bagi Siswa SMKS Al Ittihad Cianjur
Anggun Nadia Fatimah, Alfina Rahmah Dewi, Lydia Prifta Siagian
Posisi website sekolah merupakan hal yang vital tidak hanya untuk kepentingan publikasi kegiatan, melainkan juga sebagai sarana promosi khususnya bagi sekolah swasta yang pendanaan utamanya diperoleh dari siswa. Dalam konteks SMKS Al Ittihad Cianjur, website sekolah nampaknya belum optimal dilirik sebagai aset kehumasan yang penting bagi sekolah. Solusi untuk permasalahan yang diajukan penulis adalah pelatihan keterampilan jurnalistik daya bagi siswa dan mengaktifkan kembali website sekolah untuk sarana publikasi dan promosi. Kegiatan pelatihan ini dikemas dalam bentuk workshop meliputi presentasi materi dasar dan pengerjaan praktik lapangan. Pelatihan ini berperan mengukuhkan fondasi keterampilan jurnalistik siswa. Dengan skema ini, diharapkan para peserta dapat terus menumbuhkembangkan keterampilan menulis yang telah ia miliki, dan sekolah memiliki lebih banyak sumber daya manusia yang dapat diaktivasi untuk mengaktivasi web sekolah dan meningkatkan kredibilitas sekolah di mata publik.
Human settlements. Communities
Closed-form solutions for the optimal parameters of three inerter-enhanced dampers (IEDs) equipped on a ground acceleration-excited structure
Jiao Li, Xiaolin Qiao, Zhibao Cheng
et al.
Abstract Replacing the viscous damper of tuned mass damper (TMD) with the proposed inerter-enhanced dampers (IEDs), novel vibration mitigation methods, namely the IED-TMDs, are proposed. Unlike the TMD, which brings only one additional freedom into the system, the proposed IED-TMDs introduce more freedoms into the considered dynamic system. As a result, the traditional fixed-point theory cannot be used. To address this issue, this paper develops an extended fixed-point theory. Firstly, the inerter and the springs of the IED-TMDs are optimized considering that all four fixed points are of the same height. The closed-form solutions for the optimal inerter and springs of the IED-TMDs are obtained. Secondly, to obtain the optimal damping ratio for the IED-TMDs with multi-fixed points, a new optimization criterion is introduced. Different from the traditional fixed-point theory which controls the slope of the transfer function at the fixed points, the new optimization criterion assumes that the local peaks of the transfer function in between the four fixed points have the same height as the fixed points. And, a flat plateau is achieved in the transfer function. Further, the closed-form solutions for the optimal damping ratio are simplified in consideration of actual applications. Finally, the vibration mitigation performance of the IED-TMDs is evaluated. Results show that the vibration mitigation performance of IED-TMDs is superior to that of the conventional TMD. This superior vibration mitigation performance is more significant for the IED-TMDs with a smaller mass ratio.
Cities. Urban geography, Technology
Spatiotemporal Dynamics of Carbon and Nitrogen in Subtropical Urban Streams (Santo André, SP, Brazil)
Marilena M. Luciano, Rafaella M. T. Espeçoto, Roseli F. Benassi
et al.
Urban sprawl poses a significant threat to urban stream water quality due to impermeabilization, reduced vegetation cover, and the release of diffuse pollutants. This study evaluates water quality in seven catchments in Santo André, SP, considering seasonality. Nutrient concentrations and in situ measurements were taken during both dry and rainy seasons. Comparisons were made using Kruskal–Wallis and Mann–Whitney tests. Streams showed significant differences in relation to water quality parameters. The Carapetuba, Jundiaí, and Apiaí streams were most adversely affected, underscoring the need for urgent water quality intervention (water conductivity above 500 μS/cm, dissolved oxygen below 2 mg/L, total dissolved carbon above 50 mg/L, and total dissolved nitrogen above 25 mg/L). Significant differences were observed across seasons. The dry season showed elevated temperatures (above 25 °C) and increased total dissolved carbon (above 50 mg/L) and nitrogen concentrations (above 30 mg/L), indicating reduced dilution effects from rainfall and heightened organic contamination. Conversely, the wet season demonstrated lower nutrient concentrations, emphasizing seasonal dynamics. Sustained, long-term monitoring of urban streams in Santo André and the implementation of sewage collection and treatment in irregular settlements are recommended. These measures are essential to mitigate the adverse impacts of urban expansion on water quality.
Privacy Preserving Billing in Local Energy Markets with Imperfect Bid-Offer Fulfillment (Long Version)
Andrei Hutu, Mustafa A. Mustafa
Smart grids are being increasingly deployed worldwide, as they constitute the electricity grid of the future, providing bidirectional communication between households. One of their main potential applications is the peer-to-peer (P2P) energy trading market, which promises users better electricity prices and higher incentives to produce renewable energy. However, most P2P markets require users to submit energy bids/offers in advance, which cannot account for unexpected surpluses of energy consumption/production. Moreover, the fine-grained metering information used in calculating and settling bills/rewards is inherently sensitive and must be protected in conformity with existing privacy regulations. To address these issues, this report proposes a novel privacy-preserving billing and settlements protocol, PPBSP, for use in local energy markets with imperfect bid-offer fulfillment, which only uses homomorphically encrypted versions of the half-hourly user consumption data. PPBSP also supports various cost-sharing mechanisms among market participants, including two new and improved methods of proportionally redistributing the cost of maintaining the balance of the grid in a fair manner. An informal privacy analysis is performed, highlighting the privacy-enhancing characteristics of the protocol, which include metering data and bill confidentiality. PPBSP is also evaluated in terms of computation cost and communication overhead, demonstrating its efficiency and feasibility for markets with varying sizes.
Peering Costs and Fees
Ali Nikkhah, Scott Jordan
Internet users have suffered collateral damage in tussles over paid peering between large ISPs and large content providers. In order to qualify for settlement-free peering, large Internet Service Providers (ISPs) require that peers meet certain requirements. However, the academic literature has not yet shown the relationship between these settlement-free peering requirements and the value to each interconnecting network. We first consider the effect of paid peering on broadband prices. We adopt a two-sided market model in which an ISP maximizes profit by setting broadband prices and a paid peering price. Our result shows that paid peering fees reduce the premium plan price, and increase the video streaming price and the total price for premium tier customers who subscribe to video streaming services. We next consider the effect of paid peering on consumer surplus. We find that consumer surplus is a uni-modal function of the paid peering fee. The peering price depends critically on the incremental ISP cost per video streaming subscriber; at different costs, it can be negative, zero, or positive. Last, we construct a network cost model. We show that the traffic-sensitive network cost decreases as the number of interconnection points increases, but with decreasing returns. Interconnecting at 6 to 8 interconnection points is rational, and requiring interconnection at more than 8 points is of little value. We show that if the content delivery network (CDN) delivers traffic to the ISP locally, then a requirement to interconnect at a minimum number of interconnection points is rational. We also show that if the CDN delivers traffic using hot potato routing, the ISP is unlikely to perceive sufficient value to offer settlement-free peering.
Diversity beyond density: experienced social mixing of urban streets
Zhuangyuan Fan, Tianyu Su, Maoran Sun
et al.
Urban density, in the form of residents' and visitors' concentration, is long considered to foster diverse exchanges of interpersonal knowledge and skills, which are intrinsic to sustainable human settlements. However, with current urban studies primarily devoted to city and district-level analysis, we cannot unveil the elemental connection between urban density and diversity. Here we use an anonymized and privacy-enhanced mobile data set of 0.5 million opted-in users from three metropolitan areas in the U.S to show that at the scale of urban streets, density is not the only path to diversity. We represent the diversity of each street with the Experienced Social Mixing (ESM), which describes the chances of people meeting diverse income groups throughout their daily experience. We conduct multiple experiments and show that the concentration of visitors only explains 26% of street-level ESM. However, adjacent amenities, residential diversity, and income level account for 44% of the ESM. Moreover, using longitudinal business data, we show that streets with an increased number of food businesses have seen an increased ESM from 2016 to 2018. Lastly, although streets with more visitors are more likely to have crime, diverse streets tend to have fewer crimes. These findings suggest that cities can leverage many tools beyond density to curate a diverse and safe street experience for people.
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021
Dragi Kocev, Nikola Simidjievski, Ana Kostovska
et al.
The volume contains selected contributions from the Machine Learning Challenge "Discover the Mysteries of the Maya", presented at the Discovery Challenge Track of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). Remote sensing has greatly accelerated traditional archaeological landscape surveys in the forested regions of the ancient Maya. Typical exploration and discovery attempts, beside focusing on whole ancient cities, focus also on individual buildings and structures. Recently, there have been several successful attempts of utilizing machine learning for identifying ancient Maya settlements. These attempts, while relevant, focus on narrow areas and rely on high-quality aerial laser scanning (ALS) data which covers only a fraction of the region where ancient Maya were once settled. Satellite image data, on the other hand, produced by the European Space Agency's (ESA) Sentinel missions, is abundant and, more importantly, publicly available. The "Discover the Mysteries of the Maya" challenge aimed at locating and identifying ancient Maya architectures (buildings, aguadas, and platforms) by performing integrated image segmentation of different types of satellite imagery (from Sentinel-1 and Sentinel-2) data and ALS (lidar) data.
Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation
Samarth Tiwari, Michelle Yeo, Zeta Avarikioti
et al.
Payment channel networks (PCNs) are one of the most prominent solutions to the limited transaction throughput of blockchains. Nevertheless, PCNs suffer themselves from a throughput limitation due to the capital constraints of their channels. A similar dependence on high capital is also found in inter-bank payment settlements, where the so-called netting technique is used to mitigate liquidity demands. In this work, we alleviate this limitation by introducing the notion of transaction aggregation: instead of executing transactions sequentially through a PCN, we enable senders to aggregate multiple transactions and execute them simultaneously to benefit from several amounts that may "cancel out". Two direct advantages of our proposal is the decrease in intermediary fees paid by senders as well as the obfuscation of the transaction data from the intermediaries. We formulate the transaction aggregation as a computational problem, a generalization of the Bank Clearing Problem. We present a generic framework for the transaction aggregation execution, and thereafter we propose Wiser as an implementation of this framework in a specific hub-based setting. To overcome the NP-hardness of the transaction aggregation problem, in Wiser we propose a fixed-parameter linear algorithm for a special case of transaction aggregation as well as the Bank Clearing Problem. Wiser can also be seen as a modern variant of the Hawala money transfer system, as well as a decentralized implementation of the overseas remittance service of Wise.