Tootfinder

To What Extent Can Public Equity Indices Statistically Hedge Real Purchasing Power Loss in Compounded Structural Emerging-Market Crises? An Explainable ML-Based Assessment
Artem Alkhamov, Boris Kriuk
https://arxiv.org/abs/2507.13055

To What Extent Can Public Equity Indices Statistically Hedge Real Purchasing Power Loss in Compounded Structural Emerging-Market Crises? An Explainable ML-Based Assessment
This study investigates the extent to which local public equity indices can statistically hedge real purchasing power loss during compounded structural macro-financial collapses in emerging markets. We employ a non-linear multiplicative real return calculations consistent with Fisher-parity logics for both domestic and foreign investors with a principled quantile regression, tail dependence copula analysis, and Shapley Additive Explanations (SHAP) to assess the explanatory power of macro variab…

Wooo, first Rust macro written...things continue to progress. Still need to figure out exactly how I want to represent the `F` register though.
#rust #z80 #emulation

Thermodynamically Consistent Coarse-graining: from Interacting Particles to Fields via Second Quantization
Atul Tanaji Mohite, Heiko Rieger
https://arxiv.org/abs/2508.11430 http…

Thermodynamically Consistent Coarse-graining: from Interacting Particles to Fields via Second Quantization
We systematically derive an exact coarse-grained description for interacting particles with thermodynamically consistent stochastic dynamics, applicable across different observation scales, the mesoscopic and the macroscopic. We implement the coarse-graining procedure using the Doi-Peliti field theory, which preserves microscopic noise effects on the meso/macro scale. The exact mapping reveals the key role played by Poissonian particle occupancy statistics. We show the implications of the exact…

Here's an attempt at making a somewhat artistic photo of a mundane object by making it black and white and upping the contrast and only using the phone's built-in editing tools. #photography #BlackAndWhite

from my link log —
Simple and fast derived traits in Rust using rules_derive.
https://matx.com/about
saved 2025-07-29 https://dotat.at/:/5O…

This looks like a very interesting #FreeCAD macro. This would not only make models more TNP-robust, but also allow more reordering in the Part Design tree with less fix-up. Two of my last three designs needed tree reordering, and as a result I had to do some.

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
Chenguang Zhao, Huan Yu
https://arxiv.org/abs/2508.09432 https://…

From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
Most autonomous-vehicles (AVs) driving strategies are designed and analyzed at the vehicle level, yet their aggregate impact on macroscopic traffic flow is still not understood, particularly the flow heterogeneity that emerges when AVs interact with human-driven vehicles (HVs). Existing validation techniques for macroscopic flow models rely on high-resolution spatiotemporal data spanning entire road segments which are rarely available for mixed-autonomy traffic. AVs record detailed Lagrangian t…

Macro-from-Micro Planning for High-Quality and Parallelized Autoregressive Long Video Generation
Xunzhi Xiang, Yabo Chen, Guiyu Zhang, Zhongyu Wang, Zhe Gao, Quanming Xiang, Gonghu Shang, Junqi Liu, Haibin Huang, Yang Gao, Chi Zhang, Qi Fan, Xuelong Li
https://arxiv.org/abs/2508.03334

Macro-from-Micro Planning for High-Quality and Parallelized Autoregressive Long Video Generation
Current autoregressive diffusion models excel at video generation but are generally limited to short temporal durations. Our theoretical analysis indicates that the autoregressive modeling typically suffers from temporal drift caused by error accumulation and hinders parallelization in long video synthesis. To address these limitations, we propose a novel planning-then-populating framework centered on Macro-from-Micro Planning (MMPL) for long video generation. MMPL sketches a global storyline f…

Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
Xia Cui
https://arxiv.org/abs/2507.11384 https://

Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
This paper explores the application of a simple weighted loss function to Transformer-based models for multi-label emotion detection in SemEval-2025 Shared Task 11. Our approach addresses data imbalance by dynamically adjusting class weights, thereby enhancing performance on minority emotion classes without the computational burden of traditional resampling methods. We evaluate BERT, RoBERTa, and BART on the BRIGHTER dataset, using evaluation metrics such as Micro F1, Macro F1, ROC-AUC, Accurac…

Fast and Extensible Hybrid Embeddings with Micros
Sean Bocirnea, William J. Bowman
https://arxiv.org/abs/2509.07551 https://arxiv.org/pdf/2509.07551…

Fast and Extensible Hybrid Embeddings with Micros
Macro embedding is a popular approach to defining extensible shallow embeddings of object languages in Scheme like host languages. While macro embedding has even been shown to enable implementing extensible typed languages in systems like Racket, it comes at a cost: compile-time performance. In this paper, we revisit micros - syntax to intermediate representation (IR) transformers, rather than source syntax to source syntax transformers (macros). Micro embedding enables stopping at an IR, produ…

Même si vous ne faites pas de macrophotographie, voici une vidéo avec de superbes images (et des conseils avisés il me semble)
https://photog.social/@stevenlawson/114839063166927548

Heat conduction with phase change in soils with macro-pores, snow, and cryoconite. Part I: unified model derivation and examples
Malgorzata Peszynska, Praveeni Mathangadeera, Madison Phelps, Forrest Felsch, Noah Unger-Schulz
https://arxiv.org/abs/2508.05916

Heat conduction with phase change in soils with macro-pores, snow, and cryoconite. Part I: unified model derivation and examples
In this paper we extend models of thermal conduction with phase transition from micro- to macro-scale. Such models were previously developed for soils in permafrost regions from pore to Darcy scale, and the Darcy scale models compare well to empirical relationships. The new general model blends soil model with bulk water model and thus works well for the soils with macro-pores; it also applies to new context including modeling thermal conduction in the snow and in cryoconite, and it is consiste…

Emergent Heterogeneous Swarm Control Through Hebbian Learning
Fuda van Diggelen, Tugay Alperen Karag\"uzel, Andres Garcia Rincon, A. E. Eiben, Dario Floreano, Eliseo Ferrante
https://arxiv.org/abs/2507.11566

Emergent Heterogeneous Swarm Control Through Hebbian Learning
In this paper, we introduce Hebbian learning as a novel method for swarm robotics, enabling the automatic emergence of heterogeneity. Hebbian learning presents a biologically inspired form of neural adaptation that solely relies on local information. By doing so, we resolve several major challenges for learning heterogeneous control: 1) Hebbian learning removes the complexity of attributing emergent phenomena to single agents through local learning rules, thus circumventing the micro-macro prob…

Early experiments in catching #hoverflies in flight ... dunno why the wings are completely blurred in one picture but very sharp in the other, both were at 1/500 second with the flash fired. Panasonic Lumix DMC FZ300 with macro lens. #insectsofmastodon #insects

Has someone adapted #csharp source generators to bring a macro-like experience to #dotnet?

Combining PIC and MHD to model particle acceleration in astrophysical shocks
Allard Jan van Marle
https://arxiv.org/abs/2509.12150 https://arxiv.org/pdf/25…

Combining PIC and MHD to model particle acceleration in astrophysical shocks
When supersonic plasma flows collide, many physical processes contribute to the morphology of the resulting shock. One of these processes is the acceleration of non-thermal ions, which will, eventually, reach relativistic speeds and become cosmic rays. This process is difficult to simulate in a computer model because it requires both macro-physics (the overall shape of the shock) and micro-physics (the interaction between individual particles and the magnetic field). The combined PIC-MHD method…

The feeling when you find the root cause for a problem that has been bothering you for months. And it turns out to be fixable by adding a single letter. (To turn an "unsigned long" literal into an "unsigned long long" one.) (Actually I made it use the UINT64_C() macro from <cstdint>.)
Writing portable code is hard. And thanks, Windows, for keeping "long" as 32 bits even in 64-bit code.
Now, if only Clang or gcc on Linux would warn about such po…

ASL360: AI-Enabled Adaptive Streaming of Layered 360{\deg} Video over UAV-assisted Wireless Networks
Alireza Mohammadhosseini, Jacob Chakareski, Nicholas Mastronarde
https://arxiv.org/abs/2509.10544

ASL360: AI-Enabled Adaptive Streaming of Layered 360° Video over UAV-assisted Wireless Networks
We propose ASL360, an adaptive deep reinforcement learning-based scheduler for on-demand 360° video streaming to mobile VR users in next generation wireless networks. We aim to maximize the overall Quality of Experience (QoE) of the users served over a UAV-assisted 5G wireless network. Our system model comprises a macro base station (MBS) and a UAV-mounted base station which both deploy mm-Wave transmission to the users. The 360° video is encoded into dependent layers and segmented tiles, all…

TIL Enarx has a nice flags crate!
https://github.com/enarx/flagset
just used it already
https://

GitHub - enarx/flagset: Rust data types and a macro for generating enumeration-based bit flags
Rust data types and a macro for generating enumeration-based bit flags - enarx/flagset

On writing in the botanical garden. Take this, #AI frustration.
Ruhr-Uni campus life 🦋, bees all over the place

Cactus flower bud, covered in water droplets. Macro, with focus stacking. Huntington Library, San Marino, California, USA. March, 2025. #huntingtonlibrary #desertgarden #cactusflower

"Net immigration fell from around 800,000 in 2023 to around 400,000 in 2024. Yet when people were asked about this, only 8% thought that migration had decreased.
mainly macro: Key myths on asylum, immigration and how to take on the far right"
https://mainlymacro.blogsp…

#SilentSunday #MacroPhotography

The U.S. could tumble into recession before seeing Trump’s promised golden age
The labor market has basically stalled since Trump kicked off his “Liberation Day” tariff offensive in April.
Some on Wall Street are mulling the likelihood of a recession.

“The odds are close to 50/50, maybe more,” said Neil Dutta,
head of economic research at Renaissance Macro Research in New York.
“The case for a slowdown is pretty compelling.”

Administration officials dismiss …

Analysis | The U.S. could tumble into recession before seeing Trump’s promised golden age
The U.S. economy is at risk of entering a recession before President Trump’s promised golden age, with weak job growth and high inflation blamed on his policies.

Wrote up a nice little macro in @… to illustrate "anonymous recursive functions" Š la PowerShell.
https://github.com/shriram/anonymous-r

GitHub - shriram/anonymous-recursive-function: Anonymous recursive functions in Racket
Anonymous recursive functions in Racket. Contribute to shriram/anonymous-recursive-function development by creating an account on GitHub.

A 28nm 1.80Mb/mm2 Digital/Analog Hybrid SRAM-CIM Macro Using 2D-Weighted Capacitor Array for Complex Number Mac Operations
Shota Konno, Che-Kai Liu, Sigang Ryu, Samuel Spetalnick, Arijit Raychowdhury
https://arxiv.org/abs/2508.17562

A 28nm 1.80Mb/mm2 Digital/Analog Hybrid SRAM-CIM Macro Using 2D-Weighted Capacitor Array for Complex Number Mac Operations
A 28nm dense 6T-SRAM Digital(D)/Analog(A) Hybrid compute-in-memory (CIM) macro supporting complex num-ber MAC operation is presented. By introducing a 2D-weighted Capacitor Array, a hybrid configuration is adopted where digital CIM is applied only to the upper bits and ana-log CIM is applied to the rest, without the need for input DACs resulting in improved accuracy and lower area overhead. The CIM prototype macro achieves 1.80 Mb/mm2 memory density and 0.435% RMS error. Complex CIM unit output…

Beyond the Binary: The System of All-round Evaluation of Research and Its Practices in China
Yu Zhu, Jiyuan Ye
https://arxiv.org/abs/2509.08546 https://arx…

Beyond the Binary: The System of All-round Evaluation of Research and Its Practices in China
The lack of a macro-level, systematic evaluation theory to guide the implementation of evaluation practices has become a key bottleneck in the reform of global research evaluation systems. By reviewing the historical development of research evaluation, this paper highlights the current binary opposition between qualitative and quantitative methods in evaluation practices. This paper introduces the System of All-round Evaluation of Research (SAER), a framework that integrates form, content, and …

Can Movable Antenna-enabled Micro-Mobility Replace UAV-enabled Macro-Mobility? A Physical Layer Security Perspective
Kaixuan Li, Kan Yu, Dingyou Ma, Yujia Zhao, Xiaowu Liu, Qixun Zhang, ZHiyong Feng
https://arxiv.org/abs/2506.19456

Can Movable Antenna-enabled Micro-Mobility Replace UAV-enabled Macro-Mobility? A Physical Layer Security Perspective
This paper investigates the potential of movable antenna (MA)-enabled micro-mobility to replace UAV-enabled macro-mobility for enhancing physical layer security (PLS) in air-to-ground communications. While UAV trajectory optimization offers high flexibility and Line-of-Sight (LoS) advantages, it suffers from significant energy consumption, latency, and complex trajectory optimization. Conversely, MA technology provides fine-grained spatial reconfiguration (antenna positioning within a confined …

Want more #insectsofmastodon? Some more pictures of #insects on our balcony in #Bochum, Germany, seen yesterday during further experiments with macro gear.

Macron to meet Zelensky ahead of talks with European leaders in Paris, media reports: https://benborges.xyz/2025/09/02/macron-to-meet-zelensky-ahead.html

And a Zinnia to round out today's stick of photos -- shot on the same day as the other Ithaca photos with the Sony 90mm macro lens that DxO says is Sony's best lens
#photo #photography #flowers

Impact of 3D macro physics and nuclear physics on the p nuclei in O-C shell mergers
Joshua Issa, Falk Herwig, Pavel Denissenkov, Marco Pignatari
https://arxiv.org/abs/2507.16965

Impact of 3D macro physics and nuclear physics on the p nuclei in O-C shell mergers
O-C shell mergers in massive stars are a site for producing the p nuclei by the $γ$ process, but 1D stellar models rely on mixing length theory, which does not match the radial velocity profiles of 3D hydrodynamic simulations. We investigate how 3D macro physics informed mixing impacts the nucleosynthesis of p nuclei. We post-process the O-shell of the $M_\mathrm{ZAMS} = 15~\mathrm{M}_\odot$, $Z = 0.02$ model from the NuGrid stellar data set. Applying a downturn to velocities at the boundary a…

The Filament Rift: $\Lambda$CDM's Structural Challenge Against Observation
Saeed Tavasoli, Parsa Ghafour
https://arxiv.org/abs/2508.07480 https://arxiv…

The Filament Rift: $Λ$CDM's Structural Challenge Against Observation
This study presents the first extended comparison of cosmic filaments identified in SDSS DR10 observations ($z < 0.05$) and the IllustrisTNG300-1 $Λ$CDM simulation ($z = 0$), utilizing the novel GrAviPaSt filament-finder method. The analyses are performed on both macro- and micro-filaments, each characterized by their length, thickness, and contrast in mass density. In addition to total sample comparisons, two subcategories of micro-filaments, GG (linking galaxy groups) and CC (linking galaxy …

Monetary Macro Accounting Theory
Ren\'eee Men\'endez, Viktor Winschel
https://arxiv.org/abs/2506.21651 https://arxiv.org/pdf/…

Monetary Macro Accounting Theory
We develop a monetary macro accounting theory (MoMaT) and its software specification for a consistent national accounting. In our money theory money functions primarily as a medium of payment for obligations and debts, not as a medium of exchange, originating from the temporal misalignment where producers pay suppliers before receiving revenue. MoMaT applies the legal principles of Separation and Abstraction to model debt, contracts, property rights, and money to understand their nature. Moneta…

An entropy-stable and kinetic energy-preserving macro-element HDG method for compressible flows
Vahid Badrkhani, Marco F. P. ten Eikelder, Dominik Schillinger
https://arxiv.org/abs/2507.22195

An entropy-stable and kinetic energy-preserving macro-element HDG method for compressible flows
This paper introduces a high order numerical framework for efficient and robust simulation of compressible flows. To address the inefficiencies of standard hybridized discontinuous Galerkin (HDG) methods in large scale settings, we develop a macro element HDG method that reduces global and local degrees of freedom by embedding continuous Galerkin structure within macro-elements. This formulation supports matrix free implementations and enables highly parallel local solves, leading to substantia…

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
Wei Yang, Jesse Thomason
https://arxiv.org/abs/2509.03817 https://

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
Multi-agent systems of large language models (LLMs) show promise for complex reasoning, but their effectiveness is often limited by fixed collaboration protocols. These frameworks typically focus on macro-level orchestration while overlooking agents' internal deliberative capabilities. This critical meta-cognitive blindspot treats agents as passive executors unable to adapt their strategy based on internal cognitive states like uncertainty or confidence. We introduce the Meta-Policy Deliberatio…

"The UK’s actual record in the 1930s is far from good, but no doubt if Nigel Farage had been in power he would have eagerly sent every Jewish refugee fleeing from the Nazis back to Germany."
mainly macro: Key myths on asylum, immigration and how to take on the far right
https://

Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning
Yebo Wu, Jingguang Li, Chunlin Tian, Zhijiang Guo, Li Li
https://arxiv.org/abs/2508.17209 https…

Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning
Federated fine-tuning enables privacy-preserving Large Language Model (LLM) adaptation, but its high memory cost limits participation from resource-constrained devices. We propose FedPruner, an innovative federated fine-tuning paradigm that tackles this via intelligent layer pruning. FedPruner flexibly prunes the global model, creating personalized submodels based on device memory constraints. It employs a macro-micro synergistic pruning framework: a macro-level functionality-driven layer orche…

Cosmic Rays on Galaxy Scales: Progress and Pitfalls for CR-MHD Dynamical Models
Philip F. Hopkins
https://arxiv.org/abs/2509.07104 https://arxiv.org/pdf/25…

Cosmic Rays on Galaxy Scales: Progress and Pitfalls for CR-MHD Dynamical Models
Recent years have seen many arguments for cosmic rays (CRs) as an important influence on galactic and circumgalactic (CGM) physics, star and galaxy formation. We present a pedagogical overview of state-of-the-art modeling of CR-magnetohydrodynamics (CR-MHD) on macro scales (~kpc), highlighting their fundamental dependence on the micro (< au) scales of CR gyro orbits and meso (~pc) scales of CR mean-free-paths, intended to connect the extragalactic, Galactic, and plasma CR transport modeling com…

Replaced article(s) found for cs.ET. https://arxiv.org/list/cs.ET/new
[1/1]:
- A Reconfigurable Time-Domain In-Memory Computing Macro using FeFET-Based CAM with Multilevel Dela...
Mattar, Dahan, Dunkel, Mulaosmanovic, Beernink, Beyer, Yalon, Wainstein

Weekend #Plankton Factoid 🦠🦐
27 M tonnes. Dutch NIOZ scientists found that nanoplastics (<1 μm) are not only widespread, but equivalent to the mass of macro & microplastics! Polyethylene terephthalate (PET), polystyrene (PS) and polyvinyl chloride (PVC) #plastics don't just float on th…

I think this is my favourite C macro to this day.
Also, TIL you can put while loops in there, and some people actually DO that.
Ghidra is easier to read here. xD
for ref:
https://github.com/u-boot/u-boot/blob/

From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
Giorgos Demosthenous, Chryssis Georgiou, Eliada Polydorou
https://arxiv.org/abs/2506.21246

From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
This study investigates the impact of data source diversity on the performance of cryptocurrency forecasting models by integrating various data categories, including technical indicators, on-chain metrics, sentiment and interest metrics, traditional market indices, and macroeconomic indicators. We introduce the Crypto100 index, representing the top 100 cryptocurrencies by market capitalization, and propose a novel feature reduction algorithm to identify the most impactful and resilient features…

Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SBI1I2R public opinion dissemination
Xiaoting Yang, Wei Lv, Ting Yang, Bart Baesens
https://arxiv.org/abs/2506.19704

Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SBI1I2R public opinion dissemination
Cyber violence severely disrupts public order in both cyberspace and the real world. Existing studies have gradually advocated collaborative governance but rely on macro-level theoretical analyses. This study integrates micro- and macro-level perspectives to propose a two-stage, multi-scenario governance mechanism for cyber violence. In the first phase, a multi-scenario evolutionary game model with four parties involved in cyber violence was developed based on evolutionary game theory. Matlab s…

Replaced article(s) found for cs.IR. https://arxiv.org/list/cs.IR/new
[1/1]:
- Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
Yao, Hong, Chen, Li, Shen, Ying, Feng, Gong, Huang

Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics
Hillol Biswas
https://arxiv.org/abs/2508.18835 https://arxiv.org/pdf/2508.188…

Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics
As nature is ascribed as quantum, the fractals also pose some intriguing appearance which is found in many micro and macro observable entities or phenomena. Fractals show self-similarity across sizes; structures that resemble the entire are revealed when zoomed in. In Quantum systems, the probability density or wavefunction may exhibit recurring interference patterns at various energy or length scales. Fractals are produced by basic iterative rules (such as Mandelbrot or Julia sets), and they p…

#CAF, re-confirmada cono ganadora del macro-contrato de trenes de la SNCB 🚞
Tras algo de polémica por su uso de proveedores no locales, parece que al final sí se lleva el contrato 🔏
#Trenes #MovilidadSostenible

Shape Preserving Tree Transducers
Paul Gallot, Sebastian Maneth
https://arxiv.org/abs/2506.22047 https://arxiv.org/pdf/2506.22047

Shape Preserving Tree Transducers
It is shown that shape preservation is decidable for top-down tree transducers, bottom-up tree transducers, and for compositions of total deterministic macro tree transducers. Moreover, if a transducer is shape preserving, then it can be brought into a particular normal form, where every input node creates exactly one output node.

From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media
Jinghui Zhang, Kaiyang Wan, Longwei Xu, Ao Li, Zongfang Liu, Xiuying Chen
https://arxiv.org/abs/2508.00497

From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media
Public response prediction is critical for understanding how individuals or groups might react to specific events, policies, or social phenomena, making it highly valuable for crisis management, policy-making, and social media analysis. However, existing works face notable limitations. First, they lack micro-level personalization, producing generic responses that ignore individual user preferences. Moreover, they overlook macro-level sentiment distribution and only deal with individual-level se…

Magnetic control of metafluids for fluid-like applications of metamaterials
Ezra Ben-Abu, Anna Zigelman, Sefi Givli, Amir D. Gat
https://arxiv.org/abs/2507.00857

Magnetic control of metafluids for fluid-like applications of metamaterials
Metamaterials are structures composed of repeating unit-cells which enable macro-scale properties not found in nature. Since metamaterials are typically solid structures with predetermined interconnections, it is challenging to leverage their unique properties for many critical applications that require fluid-like behavior, such as heat engines or cooling cycles. Recent research suggested overcoming this limitation by creating a mechanical metafluid', which is a lubricated suspension of multist…

Catastrophic Formation of Macro-Scale Flow and Magnetic Fields in the Relativistic Gas of Binary Systems
E. Saralidze, N. L. Shatashvili, S. M. Mahajan, E. Dadiani
https://arxiv.org/abs/2506.16761

Catastrophic Formation of Macro-Scale Flow and Magnetic Fields in the Relativistic Gas of Binary Systems
It is shown that a simple quasi-equilibrium analysis of a multi-component plasma can be harnessed to explain catastrophic energy transformations in astrophysical objects. We limit ourselves to the particular class of binary systems for which the typical plasma consists of one classical ion component, and two relativistic electron components - the bulk degenerate electron gas with a small contamination of hot electrons. We derive, analytically, the conditions conducive to such a catastrophic cha…

Max-Min Fairness-Oriented Beamforming Design in HAPS-Enabled ISAC for 6G Networks
Parisa Kanani, Mohammad Javad Omidi, Mahmoud Modarres-Hashemi, Halim Yanikomeroglu
https://arxiv.org/abs/2507.18764

Max-Min Fairness-Oriented Beamforming Design in HAPS-Enabled ISAC for 6G Networks
This paper presents a high-altitude platform station (HAPS)-enabled integrated sensing and communication (ISAC) system designed for sixth-generation (6G) networks. Positioned in the stratosphere, HAPS serves as a super-macro base station, leveraging advanced beamforming techniques to enable communication and sensing simultaneously. This research addresses the need for equitable service distribution in 6G networks by focusing on fairness within the HAPS-ISAC system. It tackles a non-convex optim…

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
Eduardo Coltre Ferraciolli, Tanya V. Ara\'ujo
https://arxiv.org/abs/2506.22318

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
The institution of money can be seen as a foundational social mechanism, enabling communities to quantify collectively regulate economic processes. Money can be said, indeed, to constitute the micro-macro link in economics. This paper reviews influential views on the nature of money in economics and sociology, contrasting them to the relatively limited findings of recent agent-based models of "the emergence of money". Noting ample room for novel combinations of sociological and formal methods t…

From macro to micro: Economic complexity indicators for firm growth
Valerio De Stefano, Maddalena Mula, Manuel Sebastian Mariani, Andrea Zaccaria
https://arxiv.org/abs/2507.21754

From macro to micro: Economic complexity indicators for firm growth
A rich theoretical and empirical literature investigated the link between export diversification and firm performance. Prior theoretical works hinted at the key role of capability accumulation in shaping production activities and performance, without however producing product-level indicators able to forecast corporate growth. Building on economic complexity theory and the corporate growth literature, this paper examines which characteristics of a firm's export basket predict future performance…

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
Tahitoa Leygue (DIASI), Astrid Sabourin (DIASI), Christian Bolzmacher (DIASI), Sylvain Bouchigny (DIASI), Margarita Anastassova (DIASI), Quoc-Cuong Pham (DIASI)
https://arxiv.org/abs/2506.15754

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
State-of-the-art transformer models for Speech Emotion Recognition (SER) rely on temporal feature aggregation, yet advanced pooling methods remain underexplored. We systematically benchmark pooling strategies, including Multi-Query Multi-Head Attentive Statistics Pooling, which achieves a 3.5 percentage point macro F1 gain over average pooling. Attention analysis shows 15 percent of frames capture 80 percent of emotion cues, revealing a localized pattern of emotional information. Analysis of hi…

Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach
Nektarios Aslanidis, Aurelio Bariviera, George Kapetanios, Vasilis Sarafidis
https://arxiv.org/abs/2506.21100

Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach
This paper analyzes realized return behavior across a broad set of crypto assets by estimating heterogeneous exposures to idiosyncratic and systematic risk. A key challenge arises from the latent nature of broader economy-wide risk sources: macro-financial proxies are unavailable at high-frequencies, while the abundance of low-frequency candidates offers limited guidance on empirical relevance. To address this, we develop a two-stage ``divide-and-conquer'' approach. The first stage estimates ex…

Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials
Yannick Hollenweger, Dennis M. Kochman, Burigede Liu
https://arxiv.org/abs/2508.18806

Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials
Neural network surrogate models for constitutive laws in computational mechanics have been in use for some time. In plasticity, these models often rely on gated recurrent units (GRUs) or long short-term memory (LSTM) cells, which excel at capturing path-dependent phenomena. However, they suffer from long training times and time-resolution-dependent predictions that extrapolate poorly. Moreover, most existing surrogates for macro- or mesoscopic plasticity handle only relatively simple material b…

Monte Carlo simulation method for incoherent Thomson scattering spectra from arbitrary electron distribution functions
Kentaro Sakai, Kentaro Tomita, Takeo Hoshi, Ryo Yasuhara
https://arxiv.org/abs/2508.20627

Monte Carlo simulation method for incoherent Thomson scattering spectra from arbitrary electron distribution functions
We developed a Monte Carlo simulation method to calculate incoherent Thomson scattering spectra in high temperature plasmas. The basic idea is to treat the entire scattering process as the superposition of individual photon-electron interactions. We introduce macro-particles, referred from particle-in-cell simulations, to reduce the computational cost, and obtain scattered spectra within a reasonable computational time. Since the velocity of the interacting electron is randomly sampled from an …

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Ian Lumsden, Dewi Yokelson, Stephanie Brink, Olga Pearce, Thomas R. W. Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer
https://arxiv.org/abs/2507.…

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) represent an unprecedented computational capability that addresses a fundamental challenge in space physics: resolving the multi-scale coupling between microscopic (electron-scale) and macroscopic (global-scale) dynamics in planetary magnetospheres. The implicit scheme of iPIC3D supports time steps and grid spacing that a…

VTS-Guided AI Interaction Workflow for Business Insights
Sun Ding (Ati), Ude Enebeli (Ati), Atilhan (Ati), Manay, Ryan Pua, Kamal Kotak
https://arxiv.org/abs/2507.00347

VTS-Guided AI Interaction Workflow for Business Insights
Modern firms face a flood of dense, unstructured reports. Turning these documents into usable insights takes heavy effort and is far from agile when quick answers are needed. VTS-AI tackles this gap. It integrates Visual Thinking Strategies, which emphasize evidence-based observation, linking, and thinking, into AI agents, so the agents can extract business insights from unstructured text, tables, and images at scale. The system works in three tiers (micro, meso, macro). It tags issues, links t…

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A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tr\"oger, Stefan Wittek, Stefan Hartmann, Andreas Rausch
https://arxiv.org/abs/2506.16918

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
The behavior of materials is influenced by a wide range of phenomena occurring across various time and length scales. To better understand the impact of microstructure on macroscopic response, multiscale modeling strategies are essential. Numerical methods, such as the $\text{FE}^2$ approach, account for micro-macro interactions to predict the global response in a concurrent manner. However, these methods are computationally intensive due to the repeated evaluations of the microscale. This chal…

Micro-turbulence across the Hertzsprung-Russell diagram. Observational constrains for stars in the MW
N. Markova, M. Cantiello, L. Grassitelli
https://arxiv.org/abs/2508.03576 h…

Micro-turbulence across the Hertzsprung-Russell diagram. Observational constrains for stars in the MW
We assemble a homogeneous database of precise and consistent determinations of effective temperature, surface gravity, projected rotational rate, and macro- and micro-turbulent velocities for over 1800 Galactic stars spanning spectral types O to K and luminosity classes I to V. By carefully minimizing biases due to target selection, data quality, and disparate analysis techniques, we carry out statistical tests and comparative analyses to probe potential dependencies between these parameters an…

Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning
Cannon Whitney, Joseph Melville
https://arxiv.org/abs/2507.22198 https://

Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning
A RL (Reinforcement Learning) algorithm was developed for command automation onboard a 3U CubeSat. This effort focused on the implementation of macro control action RL, a technique in which an onboard agent is provided with compiled information based on live telemetry as its observation. The agent uses this information to produce high-level actions, such as adjusting attitude to solar pointing, which are then translated into control algorithms and executed through lower-level instructions. Once…

Ambiguities, Built-in Biases and Flaws in Big Data Insight Extraction
Serge Galam
https://arxiv.org/abs/2506.21262 https://arxiv.org/…

Ambiguities, Built-in Biases and Flaws in Big Data Insight Extraction
I address the challenge of extracting reliable insights from large datasets using a simplified model that illustrates how hierarchical classification can distort outcomes. The model consists of discrete pixels labeled red, blue, or white. Red and blue indicate distinct properties, and white represents unclassified or ambiguous data. A macro-color is assigned only if one color holds a strict majority among the pixels. Otherwise, the aggregate is labeled white, reflecting uncertainty. This setup …

Multiscale Modeling of Positive Corona Discharges
Giuseppe Cali\`o, Fabio Ragazzi, Arturo Popoli, Andrea Cristofolini, Lorenzo Valdettaro, Carlo De Falco, Paolo Barbante
https://arxiv.org/abs/2507.19337

Multiscale Modeling of Positive Corona Discharges
In the field of corona discharges, the complex chemical mechanisms inside the ionization region have prompted the development of simplified models to replicate the macroscopic effects of ion generation, thereby reducing the computational effort, especially in two and three dimensional simulations. We propose a methodology that allows to replace the ionization process with appropriate boundary conditions used by a corona model solving the drift region. We refer to this model as macro-scale, sinc…

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- Heterogeneity in Sectoral Production and the Macro Effect of Sectoral Shocks
Jacob Toner Gosselin

Post-hoc LLM-Supported Debugging of Distributed Processes
Dennis Schiese, Andreas Both
https://arxiv.org/abs/2508.14540 https://arxiv.org/pdf/2508.14540

Post-hoc LLM-Supported Debugging of Distributed Processes
In this paper, we address the problem of manual debugging, which nowadays remains resource-intensive and in some parts archaic. This problem is especially evident in increasingly complex and distributed software systems. Therefore, our objective of this work is to introduce an approach that can possibly be applied to any system, at both the macro- and micro-level, to ease this debugging process. This approach utilizes a system's process data, in conjunction with generative AI, to generate natur…

How Big Data Dilutes Cognitive Resources, Interferes with Rational Decision-making and Affects Wealth Distribution ?
Yongheng Hu
https://arxiv.org/abs/2508.20435 https://…

How Big Data Dilutes Cognitive Resources, Interferes with Rational Decision-making and Affects Wealth Distribution ?
Big data has exponentially dilated consumption demand and speed, but can they all convert to utility? We argue about the measures of consumption and utility acquisition in CARR utility function under the condition of big data interaction, we indicate its weakness, i.e., irrational consumption does not lead to the acquisition of utility. We consider that big data, which is different from macro and micro economic signals, formed by general information entropy, affects agents' rational cognition, …

Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
Ren\'ee Men\'endez, Viktor Winschel
https://arxiv.org/abs/2508.14132 https://

Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
We present a category theoretical formulation of the Monetary Macroeconomic Accounting Theory (MoMaT) of Menéndez and Winschel [2025]. We take macroeconomic (national) accounting systems to be composed from microeconomic double-entry systems with real and monetary units of accounts. Category theory is the compositional grammar and module system of mathematics which we use to lift micro accounting consistency to the macro level. The main function of money in MoMaT is for the repayment of loans …