Tootfinder

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
Bolin Shen, Eren Erman Ozguven, Yue Zhao, Guang Wang, Yiqun Xie, Yushun Dong
https://arxiv.org/abs/2506.17964

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
Florida is particularly vulnerable to hurricanes, which frequently cause substantial economic losses. While prior studies have explored specific contributors to hurricane-induced damage, few have developed a unified framework capable of integrating a broader range of influencing factors to comprehensively assess the sources of economic loss. In this study, we propose a comprehensive modeling framework that categorizes contributing factors into three key components: (1) hurricane characteristics…

Analysis of Photonic Circuit Losses with Machine Learning Techniques
Adrian Nugraha Utama, Simon Chun Kiat Goh, Li Hongyu, Wang Xiangyu, Zhou Yanyan, Victor Leong, Manas Mukherjee
https://arxiv.org/abs/2506.17999

Analysis of Photonic Circuit Losses with Machine Learning Techniques
Low-loss waveguides enable efficient light delivery in photonic circuits, which are essential for high-speed optical communications and scalable implementations of photonic quantum technologies. We study the effects of several fabrication and experimental parameters on the waveguide losses of a silicon nitride integrated photonics platform using various machine learning techniques. Compared to more complex machine learning algorithms, our results show that a simple linear regression model with …

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Nasser-Eddine Monir, Paul Magron, Romain Serizel
https://arxiv.org/abs/2506.18714

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Recent advances in deep learning have significantly improved multichannel speech enhancement algorithms, yet conventional training loss functions such as the scale-invariant signal-to-distortion ratio (SDR) may fail to preserve fine-grained spectral cues essential for phoneme intelligibility. In this work, we propose perceptually-informed variants of the SDR loss, formulated in the time-frequency domain and modulated by frequency-dependent weighting schemes. These weights are designed to emphas…

Hybrid Single-Pulse and Sawyer-Tower Method for Accurate Transistor Loss Separation in High-Frequency High-Efficiency Power Converters
Xiaoyang Tian, Mowei Lu, Florin Udrea, Stephan Goetz
https://arxiv.org/abs/2506.18635

Hybrid Single-Pulse and Sawyer-Tower Method for Accurate Transistor Loss Separation in High-Frequency High-Efficiency Power Converters
Accurate measurement of transistor parasitic capacitance and its associated energy losses is critical for evaluating device performance, particularly in high-frequency and high-efficiency power conversion systems. This paper proposes a hybrid single-pulse and Sawyer-Tower test method to analyse switching characteristics of field-effect transistors (FET), which not only eliminates overlap losses but also mitigates the effects of current backflow observed in traditional double-pulse testing. Thro…

Trump is upset that in the lower courts his administration has lost 96 percent of the time so far, accordingto one analysis.
The president’s apologists have asserted that this shows that the courts are biased against Trump.
In reality it is the law that is biased against actions that defy the web of statutes, regulations, rules, contracts, and case law that have long been part of our legal system.
Trump has even suggested that he may not be bound by the oath he swore on …

Trump’s stunning streak of losses in lower courts
Read more here.

Your Token Becomes Worthless: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
Hao Wu, Haijun Wang, Shangwang Li, Yin Wu, Ming Fan, Wuxia Jin, Yitao Zhao, Ting Liu
https://arxiv.org/abs/2506.18398

Your Token Becomes Worthless: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
Rug pull scams have emerged as a persistent threat to cryptocurrency, causing significant financial losses. A typical scenario involves scammers deploying honeypot contracts to attract investments, restricting token sales, and draining the funds, which leaves investors with worthless tokens. Current methods either rely on predefined patterns to detect code risks or utilize statistical transaction data to train detection models. However, real-world Rug Pull schemes often involve a complex interp…

"Yes, the Soviet losses were real. And yet it is truly tragic that these losses helped to subjugate nations longing for freedom, replacing one dictatorship with another. "
#history

Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
Sourish Das
https://arxiv.org/abs/2506.17549 https://arxiv.…

Predicting Stock Market Crash with Bayesian Generalised Pareto Regression
This paper develops a Bayesian Generalised Pareto Regression (GPR) model to forecast extreme losses in Indian equity markets, with a focus on the Nifty 50 index. Extreme negative returns, though rare, can cause significant financial disruption, and accurate modelling of such events is essential for effective risk management. Traditional Generalised Pareto Distribution (GPD) models often ignore market conditions; in contrast, our framework links the scale parameter to covariates using a log-line…

Disaster Risk Financing through Taxation: A Framework for Regional Participation in Collective Risk-Sharing
Fallou Niakh, Arthur Charpentier, Caroline Hillairet, Philipp Ratz
https://arxiv.org/abs/2506.18895

Disaster Risk Financing through Taxation: A Framework for Regional Participation in Collective Risk-Sharing
We consider an economy composed of different risk profile regions wishing to be hedged against a disaster risk using multi-region catastrophe insurance. Such catastrophic events inherently have a systemic component; we consider situations where the insurer faces a non-zero probability of insolvency. To protect the regions against the risk of the insurer's default, we introduce a public-private partnership between the government and the insurer. When a disaster generates losses exceeding the tot…

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
Connor E. Murphy (Department of Physics, Montana State University, Bozeman, MT), Cody Jessup (Department of Physics, Montana State University, Bozeman, MT), Tahereh Naderishahab (Department of Physics, Montana State University, Bozeman, MT), Leonardo R. Werneck (Department of Physics, University of Idaho, Moscow, ID), Zachariah B. Etienne (Department of Physics, University of …

Ultra-low damping of the translational motion of a composite graphite particle in a magneto-gravitational trap
We demonstrate an ultra-low dissipation, one-dimensional mechanical oscillator formed by levitating a millimeter-scale composite graphite particle in a room-temperature magneto-gravitational trap. The trap's magnetic field geometry, based on a linear quadrupole, eliminates first-order field gradients in the axial direction, yielding a low oscillation frequency with negligibly low eddy-current losses. Direct ring-down measurements under vacuum compare the damping of the vertical and axial motion…

RCNet: $\Delta\Sigma$ IADCs as Recurrent AutoEncoders
Arnaud Verdant, William Guicquero, J\'er\^ome Chossat
https://arxiv.org/abs/2506.16903 https://…

RCNet: $ΔΣ$ IADCs as Recurrent AutoEncoders
This paper proposes a deep learning model (RCNet) for Delta-Sigma ($ΔΣ$) ADCs. Recurrent Neural Networks (RNNs) allow to describe both modulators and filters. This analogy is applied to Incremental ADCs (IADC). High-end optimizers combined with full-custom losses are used to define additional hardware design constraints: quantized weights, signal saturation, temporal noise injection, devices area. Focusing on DC conversion, our early results demonstrate that $SNR$ defined as an Effective Numb…

"Putin is afraid to admit how many [Russian] people have died. Because if the moment comes when he needs to mobilize, his society will be afraid," Zelensky said.
Ukrainian authorities have confirmed that at least 20 of the bodies Russia returned as Ukrainian were actually Russian soldiers.
"Sometimes these bodies even have Russian passports," Zelensky said.
He also cited the case of a deceased Israeli citizen fighting on Russia's side, whom Moscow had …

Russia 'afraid to admit' scale of losses, trying to hide by dumping soldiers' bodies on Ukraine, Zelensky says
Ukrainian authorities have confirmed that at least 20 of the bodies Russia returned as Ukrainian were actually Russian soldiers, President Volodymyr Zelensky said.

Soft-Clamped Perimeter Modes of Polygon Resonators
Zhihao Niu, Yuanyuan Zhao
https://arxiv.org/abs/2506.18109 https://arxiv.org/pdf/2…

Soft-Clamped Perimeter Modes of Polygon Resonators
Polygon resonators are known for their small size and high force sensitivity. We propose an analytical model to predict the mechanical quality factors (Q) of polygon perimeter modes by incorporating a stress term in the Timoshenko-Gere equation. We discuss the origin of losses and their relationship with polygon structure dimensions. Notably, we demonstrate that the torsion loss can be suppressed through the torsion angle of supporting tethers. These results offer new insights into optimizing h…

Trump’s Stunning Streak of Losses in Lower Courts - Democracy Docket
https://www.democracydocket.com/news-alerts/trump-lower-court-streak-legal-losses/

CaF CaF interactions in the ground and excited electronic states: implications for collisional losses
Dibyendu Sardar, Marcin Gronowski, Micha{\l} Tomza, John L. Bohn
https://arxiv.org/abs/2506.16897

Advancing Loss Functions in Recommender Systems: A Comparative Study with a R\'enyi Divergence-Based Solution
Shengjia Zhang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
https://arxiv.org/abs/2506.15120

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Loss functions play a pivotal role in optimizing recommendation models. Among various loss functions, Softmax Loss (SL) and Cosine Contrastive Loss (CCL) are particularly effective. Their theoretical connections and differences warrant in-depth exploration. This work conducts comprehensive analyses of these losses, yielding significant insights: 1) Common strengths -- both can be viewed as augmentations of traditional losses with Distributional Robust Optimization (DRO), enhancing robustness to…

On Design of Representative Distributionally Robust Formulations for Evaluation of Tail Risk Measures
Anand Deo
https://arxiv.org/abs/2506.16230 https://…

On Design of Representative Distributionally Robust Formulations for Evaluation of Tail Risk Measures
Conditional Value-at-Risk (CVaR) is a risk measure widely used to quantify the impact of extreme losses. Owing to the lack of representative samples CVaR is sensitive to the tails of the underlying distribution. In order to combat this sensitivity, Distributionally Robust Optimization (DRO), which evaluates the worst-case CVaR measure over a set of plausible data distributions is often deployed. Unfortunately, an improper choice of the DRO formulation can lead to a severe underestimation of tai…

How Tough Is Iran? A String of Military Losses Raises Questions. (Vivian Yee/New York Times)
https://www.nytimes.com/2025/06/16/world/middleeast/iran-military-defense.html
http://www.memeorandum.com/250616/p148#a250616p148

Lamar Jackson says Ravens will enter this season with 'vengeance on our mind' https://www.nytimes.com/athletic/6433455/2025/06/17/lamar-jackson-ravens-minicamp/

I already said it and I will say it again: If you stand with trans people or not, if you will support them without questions and without holding back or if you think of them as acceptable losses, might be the tipping point if we can preserve our democracy — or not.
Acceptance of trans people — or rather the lack of it — is the pond fascists dip their toes in to test the water if we are willing and open to being divided.
1/2

Saturable nonlinearity induced quantum correlations in optomechanics
D. R. Kenigoule Massembele, E. Kongkui Berinyuy, P. Djorwe, A. -H. Abdel-Aty, M. R. Eid, R. Altuijri, S. G. Nana Engo
https://arxiv.org/abs/2506.10709

Saturable nonlinearity induced quantum correlations in optomechanics
We propose a scheme that induces quantum correlations in optomtomechanical systems. Our benchmark system consists of two optically coupled optical cavities which interact with a common mechanical resonator. The optical cavities host saturable nonlinearity which triggers either gain or losses in each cavity. Without these nonlinearities, there are no quantum correlations, i.e., entanglement and steering, generated in the system. By turning on the nonlinearities, gain and losses are switched on, …

The spatially variable effects of mangroves on flood depths and losses from storm surges in Florida
Siddharth Narayan, Christopher J. Thoma, Kechi Nzerem, Joss Matthewman, Christine Shepard, Laura Geselbracht, Michael W. Beck
https://arxiv.org/abs/2506.09078

The spatially variable effects of mangroves on flood depths and losses from storm surges in Florida
Mangroves modify storm surges with impacts to property damages from tropical cyclones (TC), but the magnitude of these effects and their spatial variability are not well understood especially at sub-county scales. We use high-resolution storm surge flood and loss models to examine variation in the effects of mangroves on these losses spatially and by storm intensity in Florida. We estimate that mangroves reduce storm surge losses to properties by $67.5 million annually in Collier County in west…

"The Dust Bowl led to the creation of what is now called the Natural Resources Conservation Service. Just as it celebrates a major milestone, the agency is dealing with job losses, massive proposed budget cuts and talk of consolidation." #NRCS (h/t Tom Gill)

Geometric sensitivity of modal parameters in wind instrument models: a case study on Saxophone intonation
Nathan Szwarcberg (LMA), Tom Colinot (LMA), Christophe Vergez (LMA), Micha\"el Jousserand
https://arxiv.org/abs/2506.16220

Geometric sensitivity of modal parameters in wind instrument models: a case study on Saxophone intonation
The Transfer Matrix Method is a practical approach for modeling plane wave propagation in one-dimensional waveguides. Its simplicity makes it especially attractive for accounting for viscothermal losses, enabling realistic simulations of complex waveguides such as wind instruments. Another strength of this method lies in its fully analytical formulation of wave propagation. Modal parameters naturally arise as by-products of the model, obtained by numerically solving analytical expressions. In t…

Joint Error Correction and Fading Channel Estimation Enhancement Leveraging GRAND
Charles Wiame, Ken R. Duffy, Muriel M\'edard
https://arxiv.org/abs/2506.14756

Joint Error Correction and Fading Channel Estimation Enhancement Leveraging GRAND
We present a novel method for error correction in the presence of fading channel estimation errors (CEE). When such errors are significant, considerable performance losses can be observed if the wireless transceiver is not adapted. Instead of refining the estimate by increasing the pilot sequence length or improving the estimation algorithm, we propose two new approaches based on Guessing Random Additive Noise Decoding (GRAND) decoders. The first method involves testing multiple candidates for …

After Google's two antitrust losses in the past year, a look at critics' claims that its breakup might be better for investors, customers, and innovation (David Streitfeld/New York Times)
https://www.nytimes.com…

What if Google Just Broke Itself Up? A Tech Insider Makes the Case.
Prosecutors aren’t the only ones arguing for a smaller Google. Some critics say it might be better for investors, customers and innovation.

Correlating Superconducting Qubit Performance Losses to Sidewall Near-Field Scattering via Terahertz Nanophotonics
Richard H. J. Kim, Samuel J. Haeuser, Joong-Mok Park, Randall K. Chan, Jin-Su Oh, Thomas Koschny, Lin Zhou, Matthew J. Kramer, Akshay A. Murthy, Mustafa Bal, Francesco Crisa, Sabrina Garattoni, Shaojiang Zhu, Andrei Lunin, David Olaya, Peter Hopkins, Alex Romanenko, Anna Grassellino, Jigang Wang

Correlating Superconducting Qubit Performance Losses to Sidewall Near-Field Scattering via Terahertz Nanophotonics
Elucidating dielectric losses, structural heterogeneity, and interface imperfections is critical for improving coherence in superconducting qubits. However, most diagnostics rely on destructive electron microscopy or low-throughput millikelvin quantum measurements. Here, we demonstrate noninvasive terahertz (THz) nano-imaging/-spectroscopy of encapsulated niobium transmon qubits, revealing sidewall near-field scattering that correlates with qubit coherence. We further employ a THz hyperspectral…

This https://arxiv.org/abs/2312.03941 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Minimising Numbers of Losses and Abandonments in Small Call Centres Under a Transient Regime
We consider the problem of allocating customers to agents in small call centres so that transient performance indicators in terms of expected numbers of losses and abandonments are optimised. To gain insight into the general structure of optimal policies, we start by (i) using backward induction based upon Bellman's equation for a finite-horizon discrete-time model, and (ii) deriving stationary policies for an infinite-horizon continuous-time model with discounting. We then compare the performa…

Improved Uncooperative Spacecraft Maneuver Detection with Space-based Optical Observations
Xuejian Mao, Pei Liu, Pei Chen
https://arxiv.org/abs/2506.11435 …

Improved Uncooperative Spacecraft Maneuver Detection with Space-based Optical Observations
Building and maintaining a space object catalog is necessary for space situational awareness. To realize this, one great challenge is uncooperative spacecraft maneuver detection because unknown maneuver events can lead to deviated orbital predictions and losses of tracking. Nowadays, more and more spacecraft equip electric propulsion and perform long-duration maneuvers to realize orbital transfer. Previous studies have investigated impulsive maneuver detection with space surveillance data. But,…

This https://arxiv.org/abs/2505.22772 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Calibrated Value-Aware Model Learning with Stochastic Environment Models
The idea of value-aware model learning, that models should produce accurate value estimates, has gained prominence in model-based reinforcement learning. The MuZero loss, which penalizes a model's value function prediction compared to the ground-truth value function, has been utilized in several prominent empirical works in the literature. However, theoretical investigation into its strengths and weaknesses is limited. In this paper, we analyze the family of value-aware model learning losses, w…

Quantifying stored energy release in irradiated YBa$_2$Cu$_3$O$_7$ through molecular dynamics annealing simulations
Lauryn Kortman, Alexis Devitre, Charles Hirst
https://arxiv.org/abs/2506.13625

Quantifying stored energy release in irradiated YBa$_2$Cu$_3$O$_7$ through molecular dynamics annealing simulations
Over the lifetime of a fusion power plant, irradiation-induced defects will accumulate in the superconducting magnets compromising their ability to carry current without losses, generate high magnetic fields, and thus maintain plasma confinement. These defects also store potential energy within the crystalline lattice of materials, which can be released upon annealing. This phenomenon raises the question of whether the energy stored in defects may be sufficient to accelerate, or even trigger, a…

Here Lies Hudson’s Bay Company, Murdered by Private Equity https://jacobin.com/2025/06/hudsons-bay-canada-private-equity/

Here Lies Hudson’s Bay Company, Murdered by Private Equity
Hudson’s Bay Company, Canada’s oldest retailer, didn’t die of natural causes — it was gutted by private equity. Stripped of assets and loaded with debt, it leaves behind job losses, endangered pensions, and a hollowed-out legacy reduced to branding rights.

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
Luis R. Pericchi, Maria-Eglee Perez
https://arxiv.org/abs/2506.10114

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
In `borrowing strength' an important problem of Statistics is to treat exceptional cases in a fundamentally different. This is what has been coined as `the Clemente problem' in honor of R. Clemente (Efron 2010). In this article, we propose to use robust penalties, in the form of losses that penalize more severely huge errors, or (equivalently) priors of heavy tails which make more probable the exceptional. Using heavy tailed priors, we can reproduce in a Bayesian way Efron and Morris `limited t…

This https://arxiv.org/abs/2502.09008 has been replaced.
initial toot: https://mastoxiv.page/@…

Dynamics of the Bose-Hubbard Model Induced by On-Site or Long-Range Two-Body Losses
We present a theoretical study of the dissipative dynamics of the Bose-Hubbard model induced by on-site or long-range two-body losses. We first consider the one-dimensional chain and the two-dimensional square lattice, and study the dynamics induced by the sudden switch-on of two-body losses on a weakly-interacting superfluid state. The time-dependent density is obtained in the spirit of the Bogolyubov approach by calculating theoretically the equations of motion associated to the relevant quad…

Energy efficiency of DMAs vs. conventional MIMO: a sensitivity analysis
Pablo Ram\'irez-Espinosa, David Morales-Jim\'enez, Beatriz Soret
https://arxiv.org/abs/2506.09181

Energy efficiency of DMAs vs. conventional MIMO: a sensitivity analysis
Motivated by the stringent and challenging need for `greener communications' in increasingly power-hungry 5G networks, this paper presents a detailed energy efficiency analysis for three different multi-antenna architectures, namely fully-digital arrays, hybrid arrays, and dynamic metasurface antennas (DMAs). By leveraging a circuital model, which captures mutual coupling, insertion losses, propagation through the waveguides in DMAs and other electromagnetic phenomena, we design a transmit Wien…

First Introduced To Australia In 1788, This Invasive Species Now Kills Over A Million Birds A Day
https://www.forbes.com/sites/scotttravers/2025/04/26/first-introduced-to-austral…

First Introduced To Australia In 1788, This Invasive Species Now Kills Over A Million Birds A Day
From island extinctions to nationwide losses, feral and domestic cats have been reshaping Australia's biodiversity for decades at a staggering cost.

🔊 #NowPlaying on #BBCRadio3:
#ComposerOfTheWeek #COTW
- Giovanni Pierluigi da Palestrina (c.1525-1594)
A lifelong friendship, a papal jubilee, and a revamped St Peter's, but also some hard-hitting losses... Donald Macleod sees why Palestrina is considering becoming a priest.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002d7k9

Microgrids Coalitions for Energy Market Balancing
Viorica Chifu, Cristina Bianca Pop, Tudor Cioara, Ionut Anghel
https://arxiv.org/abs/2506.06058 https://

Microgrids Coalitions for Energy Market Balancing
With the integration of renewable sources in electricity distribution networks, the need to develop intelligent mechanisms for balancing the energy market has arisen. In the absence of such mechanisms, the energy market may face imbalances that can lead to power outages, financial losses or instability at the grid level. In this context, the grouping of microgrids into optimal coalitions that can absorb energy from the market during periods of surplus or supply energy to the market during perio…

Researchers reveal major losses in Ukraine's agricultural sector caused by full-scale war | Ukrainska Pravda
https://www.pravda.com.ua/eng/news/2025/06/4/7515646/

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
Yong Xiang (Tsinghua University), Charley Peter Chen (Harmonic Inc), Liyi Zeng (Peng Cheng Laboratory), Wei Yin (Tsinghua University), Xin Liu (Tsinghua University), Hu Li (Unaffiliated), Wei Xu (Tsinghua University)
https://arxiv.org/abs/2506.02490

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
Kubernetes, a notably complex and distributed system, utilizes an array of controllers to uphold cluster management logic through state reconciliation. Nevertheless, maintaining state consistency presents significant challenges due to unexpected failures, network disruptions, and asynchronous issues, especially within dynamic cloud environments. These challenges result in operational disruptions and economic losses, underscoring the necessity for robust root cause analysis (RCA) to enhance Kube…

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis
Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian
https://arxiv.org/abs/2506.06483

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis
Fine-tuning Stable Diffusion enables subject-driven image synthesis by adapting the model to generate images containing specific subjects. However, existing fine-tuning methods suffer from two key issues: underfitting, where the model fails to reliably capture subject identity, and overfitting, where it memorizes the subject image and reduces background diversity. To address these challenges, we propose two auxiliary consistency losses for diffusion fine-tuning. First, a prior consistency regul…

Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman
https://arxiv.org/abs/2506.15555

Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
Rising atmospheric carbon dioxide due to human activities through fossil fuel emissions and land use changes have increased climate extremes such as heat waves and droughts that have led to and are expected to increase the occurrence of carbon cycle extremes. Carbon cycle extremes represent large anomalies in the carbon cycle that are associated with gains or losses in carbon uptake. Carbon cycle extremes could be continuous in space and time and cross political boundaries. Here, we present a m…

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
N. J. Martin, A. J. Brash, A. Tomlinson, E. M. Sala, E. O. Mills, C. L. Phillips, R. Dost, L. Hallacy, P. Millington-Hotze, D. Hallett, K. A. O'Flaherty, J. Heffernan, M. S. Skolnick, A. M Fox, L. R. Wilson
https://arxiv.org/abs/2506.07951…

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
Telecom-wavelength quantum dots (QDs) are emerging as a promising solution for generating deterministic single-photons compatible with existing fiber-optic infrastructure. Emission in the low-loss C-band minimizes transmission losses, making them ideal for long-distance quantum communication. In this work, we present the first demonstration of both Stark tuning and charge state control of individual InAs/InP QDs operating within the telecom C-band. These QDs are grown by droplet epitaxy and emb…

Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response
Lei Han, Yitong Guo, Pengfei Yang, Zhiyong Yu, Liang Wang, Quan Wang, Zhiwen Yu
https://arxiv.org/abs/2506.04276

Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response
Natural disasters have caused significant losses to human society, and the timely and efficient acquisition of post-disaster environmental information is crucial for the effective implementation of rescue operations. Due to the complexity of post-disaster environments, existing sensing technologies face challenges such as weak environmental adaptability, insufficient specialized sensing capabilities, and limited practicality of sensing solutions. This paper explores the heterogeneous multi-agen…

Failing Banks
Sergio Correia, Stephan Luck, Emil Verner
https://arxiv.org/abs/2506.06082 https://arxiv.org/pdf/2506.06082

Failing Banks
Why do banks fail? We create a panel covering most commercial banks from 1863 through 2024 to study the history of failing banks in the United States. Failing banks are characterized by rising asset losses, deteriorating solvency, and an increasing reliance on expensive noncore funding. These commonalities imply that bank failures are highly predictable using simple accounting metrics from publicly available financial statements. Failures with runs were common before deposit insurance, but thes…

This https://arxiv.org/abs/2406.12417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Fees in AMMs: A quantitative study
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called 'informed orderflow'. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we…

Beam-Gas Interactions in the CERN Proton Synchrotron: Cross Section Measurements and Lifetime Modelling
E. Waagaard, F. Ukena, J. Olsen, R. Alemany Fern\'andez, J. Somoza, G. Weber
https://arxiv.org/abs/2506.02928

Beam-Gas Interactions in the CERN Proton Synchrotron: Cross Section Measurements and Lifetime Modelling
The acceleration of high-intensity lead (Pb) beams for injection into the Large Hadron Collider (LHC) is limited by significant losses in the preceding CERN ion injector chain. A potential but largely uncharted source of losses are charge-changing beam interactions such as electron loss or capture with residual gas molecules. These effects potentially impede future ion candidate species requested by the LHC and the CERN fixed-target experiments. To predict the cross sections of charge-changing …

This https://arxiv.org/abs/2212.05260 has been replaced.
link: https://scholar.google.com/scholar?q=a

Examining marginal properness in the external validation of survival models with squared and logarithmic losses
Scoring rules promote rational and honest decision-making, which is important for model evaluation and becoming increasingly important for automated procedures such as `AutoML'. In this paper we survey common squared and logarithmic scoring rules for survival analysis, with a focus on their theoretical and empirical properness. We introduce a marginal definition of properness and show that both the Integrated Survival Brier Score (ISBS) and the Right-Censored Log-Likelihood (RCLL) are theoretic…

This https://arxiv.org/abs/2505.19246 has been replaced.
initial toot: https://mastoxiv.page/@arX…

On the transmission of texts: written cultures as complex systems
Our knowledge of past cultures relies considerably on written material. For centuries, texts have been copied, altered, then transmitted or lost - eventually, from surviving documents, philologists attempt to reconstruct text phylogenies ("stemmata"), and past written cultures. Nonetheless, fundamental questions on the extent of losses, representativeness of surviving artefacts, and the dynamics of text genealogies have remained open since the earliest days of philology. To address these, we ra…

NATO hails Ukraine's Operation Spider's Web as most successful and estimates Russian aircraft losses | Ukrainska Pravda
https://www.pravda.com.ua/eng/news/2025/06/4/7515618/

Edge polaritons at metal-insulator boundaries in a phase separated correlated oxide
Weiwei Luo, Adrien Bercher, Claribel Dominguez, Javier del Valle, Jeremie Teyssier, Javier Taboada-Gutierrez, Alexey B. Kuzmenko
https://arxiv.org/abs/2506.03647

Edge polaritons at metal-insulator boundaries in a phase separated correlated oxide
Correlated transition metal oxides, such as cuprates, nickelates, and manganites, are typically considered "bad metals", where high electromagnetic losses suppress the conventional plasmonic effects observed in noble metals, 2D electron gases, and graphene. Nevertheless, using mid-infrared near-field optical nanoscopy, we demonstrate the emergence of strongly confined and long-propagating edge polaritons (EPs) of mixed phonon-plasmon nature at the boundaries between conducting and insulating re…

Low-Cost Wideband Tilted Beam Antenna for Millimeter-wave Vehicle Applications
Jiawang Li
https://arxiv.org/abs/2506.08239 https://ar…

Low-Cost Wideband Tilted Beam Antenna for Millimeter-wave Vehicle Applications
To facilitate vehicle coverage for millimeter-wave applications, this communication presents a low-cost, wideband tilted-beam antenna. A novel design is proposed in which a slot antenna is both directly excited and electromagnetically coupled to a monopole array. This slot-monopole configuration is inherently robust against substrate losses, enabling low-cost fabrication while maintaining high realized gain and compact size. Furthermore, the slot-fed structure effectively excites multiple reson…

This https://arxiv.org/abs/2506.03430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Free-Space Characterization Setup for Low-Loss UV-261nm Waveguides in Aluminum Oxide
Vahram Voskerchyan, Ward Hendriks, Sonia Garcia Blanco
https://arxiv.org/abs/2506.13227

Free-Space Characterization Setup for Low-Loss UV-261nm Waveguides in Aluminum Oxide
Here, we report a characterization setup for low-loss integrated photonic waveguides in aluminum oxide, tailored for deep UV applications. The setup includes a 261nm UV light source, objective lenses for free-space coupling, an automated stage, and a UV camera. The measured losses for the aluminum oxide waveguides in the UV-261nm range were calculated to be 4.9485 dB/cm. These results demonstrate the effectiveness of the setup in achieving low-loss characterization of integrated photonics waveg…

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
The spatially variable effects of mangroves on flood depths and losses from storm surges in Florida

A Generic Branch-and-Bound Algorithm for $\ell_0$-Penalized Problems with Supplementary Material
Cl\'ement Elvira, Th\'eo Guyard, C\'edric Herzet
https://arxiv.org/abs/2506.03974

A Generic Branch-and-Bound Algorithm for $\ell_0$-Penalized Problems with Supplementary Material
We present a generic Branch-and-Bound procedure designed to solve L0-penalized optimization problems. Existing approaches primarily focus on quadratic losses and construct relaxations using "Big-M" constraints and/or L2-norm penalties. In contrast, our method accommodates a broader class of loss functions and allows greater flexibility in relaxation design through a general penalty term, encompassing existing techniques as special cases. We establish theoretical results ensuring that all key qu…

Approximating the Particle Distribution in Rotating and Tandem Mirror Traps
Greta X. Li, Elijah J. Kolmes, Ian E. Ochs, Nathaniel J. Fisch
https://arxiv.org/abs/2505.19483

Approximating the Particle Distribution in Rotating and Tandem Mirror Traps
Steady state distribution functions can be used to calculate stability conditions for modes, radiation energy losses, and particle loss rates. Heuristic analytic approximations to these distributions can capture key behaviors of the true distributions while possessing computational advantages over their numerical counterparts. In this paper, we motivate and present a closed-form analytic model for a distribution of particles in a centrifugal or tandem mirror. We find that our model outperforms …

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
Symeon Vaidanis, Photios A. Stavrou, Marios Kountouris
https://arxiv.org/abs/2506.04952

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
The problem of resource allocation in goal-oriented semantic communication with semantic-aware utilities and subjective risk perception is studied here. By linking information importance to risk aversion, we model agent behavior using Cumulative Prospect Theory (CPT), which incorporates risk-sensitive utility functions and nonlinear transformations of distributions, reflecting subjective perceptions of gains and losses. The objective is to maximize the aggregate utility across multiple CPT-mode…

A low-loss telecom-band nanofiber cavity for interfacing Yb atomic qubits
Seitaro Horikawa, Shinya Kato, Ryotaro Inoue, Takao Aoki, Akihisa Goban, Hideki Konishi
https://arxiv.org/abs/2506.06123

A low-loss telecom-band nanofiber cavity for interfacing Yb atomic qubits
We demonstrate the fabrication of an optical nanofiber cavity designed for efficient interface with ytterbium (Yb) atoms at telecom-wavelength transitions. Replacing the conventional hydrogen-oxygen flame with a deuterium-oxygen flame in the heat-and-pull method suppresses hydroxyl-induced absorption losses and enables low-loss nanofiber production with minimal modifications to the existing fabrication system. Using this technique, we fabricate a nanofiber cavity at 1389 nm that exhibits an int…

This https://arxiv.org/abs/2404.03976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

A theoretical framework for fees in AMMs
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called informed orderflow. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we w…

Direct visualization of visible-light hyperbolic plasmon polaritons in real space and time
Atreyie Ghosh, Calvin Raab, Joseph L. Spellberg, Aishani Mohan, Sarah B. King
https://arxiv.org/abs/2506.13719

Direct visualization of visible-light hyperbolic plasmon polaritons in real space and time
Hyperbolic materials support exotic polaritons with hyperbolic dispersion that enable subdiffraction focusing and enhanced light-matter interactions. Visible-frequency hyperbolic plasmon polaritons (HPPs) offer significant advantages over hyperbolic phonon polaritons, which operate in the infrared frequency range - namely lower losses and greater technological relevance. However, these HPPs remained experimentally inaccessible until the recent identification of molybdenum(IV) oxychloride (MoOCl…

Low-Power Optical Actuation of n-GaAs Cantilevers via Surface Piezoelectric Coupling
Ayel\'en Prado, Diego Perez-Morelo, Leonardo Salazar Alarc\'on, Hern\'an Pastoriza
https://arxiv.org/abs/2506.10836

Low-Power Optical Actuation of n-GaAs Cantilevers via Surface Piezoelectric Coupling
The mechanical behavior of any semiconductor microstructure is inevitably coupled to light. In the case of micro mechanical resonators (MEMs), carrier generation can affect the quality factor of the resonance through electron-phonon scattering and ohmic losses, but it may also inject energy into the structure and induce movement. Thus, semiconductor MEMs may be regarded as intrinsically optomechanical systems. Here, we report on the optical actuation of a simple-clamped n-GaAs cantilever. This …

Overall #California officially tallies over 30,000 total job losses in first 4 months of year as #DJT admin economic policies took effect. Steepest #federal #employment

Bay Area hit hard by federal job cuts
The U.S. government’s quest to slash the federal workforce has jolted the job markets in California and the Bay Area.

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
Emmanuel O. Badmus, Amritanshu Pandey
https://arxiv.org/abs/2506.03430

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Creation of a degenerate Bose-Bose mixture of erbium and lithium atoms
Jasmine Kalia, Jared Rivera, Rubaiya R Emran, William J Solorio Hernandez, Kiryang Kwon, Richard J Fletcher
https://arxiv.org/abs/2506.00177

Creation of a degenerate Bose-Bose mixture of erbium and lithium atoms
We report the realization of a degenerate mixture of $^{166}$Er and $^{7}$Li atoms in their lowest spin state. The two species are sequentially laser-cooled and loaded into an optical dipole trap, then transported to a glass cell in which further cooling to degeneracy occurs. Since Er is more weakly trapped, it serves as a coolant for Li, and we observe efficient sympathetic cooling facilitated by a large interspecies elastic scattering cross section. Three-body losses are found to be small at …

This https://arxiv.org/abs/2502.14479 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework
The lifetime behaviour of loans is notoriously difficult to model, which can compromise a bank's financial reserves against future losses, if modelled poorly. Therefore, we present a data-driven comparative study amongst three techniques in modelling a series of default risk estimates over the lifetime of each loan, i.e., its term-structure. The behaviour of loans can be described using a nonstationary and time-dependent semi-Markov model, though we model its elements using a multistate regress…

Probing Strong-Field QED via Angle-Discriminated Emissions from Electrons Traversing Colliding Laser Pulses
C. Olofsson, A. Gonoskov
https://arxiv.org/abs/2506.08741

Probing Strong-Field QED via Angle-Discriminated Emissions from Electrons Traversing Colliding Laser Pulses
Future laser-electron colliders will reach quantum parameters $χ$ well in excess of unity, enabling studies of strong-field QED in extreme regimes. However, statistical inference in such experiments requires mitigating premature radiative losses of electrons to enable high-$χ$ QED events, as well as separating the detectable signal of these events from that of lower-$χ$ particles and photons produced by QED cascades. We propose a collider geometry in which electrons traverse the waist of two…

This https://arxiv.org/abs/2505.04555 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Who Bears the Cost? High-Frequency Evidence on Minimum Wage Effects and Amenity Pass-Through in Spot Labor Markets
This paper provides causal evidence on the short-run effects of minimum wage hikes in a spot labor market, using confidential contract-level data from Timee, a Japanese job-matching platform. Leveraging high-frequency variation and a bin-level difference-in-differences design, we find a 2 percentage point decline in employment within affected wage bins, with losses concentrated below the new threshold. Transportation reimbursement--a flexible nonwage amenity--remains largely unchanged, indicati…

Observation of Coherent Perfect Acoustic Absorption at an Exceptional Point
Yi-Fei Xia, Zi-Xiang Xu, Yu-Ting Yan, An Chen, Jing Yang, Bin Liang, Jian-Chun Cheng, Johan Christensen
https://arxiv.org/abs/2506.04231

Observation of Coherent Perfect Acoustic Absorption at an Exceptional Point
Non-Hermitian systems have recently shown new possibilities to manipulate wave scattering by exploiting loss, yet coherent perfect absorption at an exceptional point (CPA EP) remains elusive in acoustics. Here we demonstrate it based on a two-channel waveguide with compact lossy resonators. We realize imbalanced losses crucial for CPA EP by using active components to independently modulate the non-Hermiticity. The CPA EP experimentally manifests as full absorption at a unique real frequency and…

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Alireza Zabihi, Luis Badesa, Araceli Hernandez
https://arxiv.org/abs/2505.23435

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Voltage unbalance, caused by variations in voltage magnitude and phase angle, is a significant power quality issue in three-phase systems, leading to equipment inefficiencies and increased system losses. The integration of distributed energy resources (DER) into the grid adds complexity, as DER can either reduce or worsen voltage unbalance, depending on factors such as grid configuration and the distribution of loads and DER themselves. This study explores the effects of DER penetration on volt…

Exciton-polaritons in a monolayer semiconductor coupled to van der Waals dielectric nanoantennas on a metallic mirror
Yadong Wang, Charalambos Louca, Sam Randerson, Xuerong Hu, Panaiot G. Zotev, Oscar Palma Chaundler, Paul Bouteyre, Casey K. Cheung, Roman Gorbachev, Yue Wang, Alexander I. Tartakovskii
https://arxiv.org/abs/2506.…

Exciton-polaritons in a monolayer semiconductor coupled to van der Waals dielectric nanoantennas on a metallic mirror
Polaritons in nanophotonic structures have attracted long-standing interest owing to their fundamental importance and potential for applications in nonlinear and quantum optics. Nanoantennas (NAs) made from high refractive index dielectrics offer a suitable platform for polariton physics thanks to the strongly confined optical Mie resonances and low optical losses in contrast to metallic NAs. However, Mie modes are mainly confined within the NA, making inefficient their coupling with excitons i…

Replication of Reference-Dependent Preferences and the Risk-Return Trade-Off in the Chinese Market
Penggan Xu
https://arxiv.org/abs/2505.20608 https://

Replication of Reference-Dependent Preferences and the Risk-Return Trade-Off in the Chinese Market
This study replicates the findings of Wang et al. (2017) on reference-dependent preferences and their impact on the risk-return trade-off in the Chinese stock market, a unique context characterized by high retail investor participation, speculative trading behavior, and regulatory complexities. Capital Gains Overhang (CGO), a proxy for unrealized gains or losses, is employed to explore how behavioral biases shape cross-sectional stock returns in an emerging market setting. Utilizing data from 1…

This https://arxiv.org/abs/2505.23632 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Integrated thin film lithium niobate mid-infrared modulator
The mid-infrared spectral range holds great promise for applications such as molecular spectroscopy and telecommunications. Many key molecules exhibit strong absorption features in this range, and free-space optical communication benefits from reduced atmospheric attenuation and low transmission losses in specific wavelength bands spanning from 3 to 14 μm. Recent progress in MIR photonics has been fuelled by the rapid development of efficient light sources and detectors. However, further advan…

Low-loss, fabrication-tolerant, and highly-tunable Sagnac loop reflectors and Fabry-P\'erot cavities on thin-film lithium niobate
Luke Qi, Ali Khalatpour, Jason Herrmann, Taewon Park, Devin Dean, Sam Robison, Alexander Hwang, Hubert Stokowski, Darwin Serkland, Martin Fejer, Amir H. Safavi-Naeini
https://arxiv.org/abs/2505.23…

Low-loss, fabrication-tolerant, and highly-tunable Sagnac loop reflectors and Fabry-Pérot cavities on thin-film lithium niobate
We present low-loss ($<1.5\%$) and power-efficient Mach-Zehnder interferometers (MZIs) on thin-film lithium niobate. To accurately measure low MZI losses, we develop a self-calibrated method using tunable Sagnac loop reflectors (SLRs) to build cavities. Fabry-Pérot cavities constructed from these fabrication-tolerant SLRs achieve an intrinsic quality factor of $2 \times 10^6$. By implementing thermal isolation trenches, we also demonstrate a $>10\times$ reduction in power consumption for therm…

Integrated thin film lithium niobate mid-infrared modulator
Pierre Didier, Prakhar Jain, Mathieu Bertrand, Jost Kellner, Oliver Pitz, Zhecheng Dai, Mathias Beck, Baile Chen, Jerome Faist, Rachel Grange
https://arxiv.org/abs/2505.23632

Integrated thin film lithium niobate mid-infrared modulator
The mid-infrared spectral range holds great promise for applications such as molecular spectroscopy and telecommunications. Many key molecules exhibit strong absorption features in this range, and free-space optical communication benefits from reduced atmospheric attenuation and low transmission losses in specific wavelength bands spanning from 3 to 14 μm. Recent progress in MIR photonics has been fuelled by the rapid development of efficient light sources and detectors. However, further advan…