@bobmueller@mastodon.worldNot the best-phrased headline ever, but this news warms my heart. They're disinterring them because they have enough family DNA samples to finally identify them.
https://www.stripes.com/veterans/2026-03-04/pearl-harbor-identification-dpaa-2094…
@metacurity@infosec.exchangeHHS unveiled a tool to help health care facilities assess their cybersecurity risks, yet forgot to renew its encryption certificate or something on its site that unveiled the tool.
https://cyberscoop.com/hhs-aspr-cybersecurity-risc-toolkit-update/
@adulau@infosec.exchangeFor hackathon.lu, I was initially unsure what my main project would be, but I ultimately decided to focus on implementing the future GCVE BCP-10.
GCVE-BCP-10: Improved Common Platform Enumeration for GCVE
The idea is combine it with the cpe-guesser and have a registry to facilitate the interaction with the CPE values to handle vendor and product references.
#gcve
@cosmos4u@scicomm.xyz#2024YR4 - Identification of Possible Precoveries in 2016 IPTF Data: https://arxiv.org/abs/2603.00449 -> "These candidate detections, not accounting for any currently-undetected Yarkovsky forces, predict a perilune of 22001 /- 49 km and a perigee of 277534 /- 46 km (relative to the center of each respective body) representing an improvement of > 300 times in the approach distance uncertainty above the existing orbit solution and, if confirmed, decisively ruling out a lunar impact in 2032" -> https://groups.io/g/mpml/message/41437
@davidaugust@mastodon.online"’…recipe for disaster because you have these masked federal officers w/very little identification, sometimes no identification, wearing plain clothes and masks,’ [Arizona Attorney General Kris] Mayes explained.
‘We have a stand-your-ground law that says if you reasonably believe your life is in danger, and you’re in your house or your car or on your property, that you can defend yourself w/lethal force,’”
@cdarwin@c.imAhead of a Friday shutdown deadline, Democrats laid out their conditions for funding the Department of Homeland Security,
including new restrictions on immigration officers.
In addition to a prohibition on federal officers wearing masks,
they also demanded that the agents wear body cameras and carry identification.
Their proposal would put an end to roving patrols
and require warrants issued by a judge for arrests and searches.
Democrats also want the fe…
@toxi@mastodon.thi.ngRE: https://mastodon.social/@Ivovanwilligen/116110881126241280
Chilling! This article is less about LinkedIn and more about Peter Thiel's Persona corp (which was also supposed to be responsible for Discord's new identification system) and th…
@arXiv_physicsinsdet_bot@mastoxiv.pageGamma Imagers for Nuclear Security and Nuclear Forensics: Recommendations based on results from a side-by-side intercomparison
L. E. Sinclair, P. R. B. Saull, A. McCann, A. M. L. MacLeod, N. J. Murtha, A. El-Jaby, G. Jonkmans
https://arxiv.org/abs/2602.00826 https://arxiv.org/pdf/2602.00826 https://arxiv.org/html/2602.00826
arXiv:2602.00826v1 Announce Type: new
Abstract: Nuclear security operations and forensic investigations require the utilization of a suite of instruments ranging from passive gamma spectrometers to high-precision laboratory sample analyzers. Gamma spectroscopy survey is further broken down into wide-area search performed with large-volume scintillator-based mobile survey spectrometers which are integrated with geographic position sensors for mapping and identification of hot zones, and high-precision long-dwell measurements using solid state spectrometers for follow-on characterization to establish isotopic content and ratios. While performing well at detecting the presence, quantity and type of radioactivity, all of these methods have limited ability to determine the location of a source of radioactivity. In recent years, technology advances have resulted in gamma imager devices which can create an image of the distribution of radioactive sources using the gamma emissions which accompany radioactive decay, and overlay this on an optical photograph of the environment. These gamma imaging devices have arisen out of methods developed for medical physics, experimental particle physics, and astrophysics, resulting in a proliferation of different technological approaches. Those responsible for establishing a nuclear security concept of operations, require guidance to choose the proper gamma imager for each of the application spaces in a tiered response. Here the results of an intercomparison of two gamma imagers based on two widely different technologies, semiconductor and scintillator detectors, are presented. The optimal utilization of these imaging technologies in a tiered response is discussed based on the results of the trial. Finally, an outlook on future directions for gamma imaging advances is provided.
toXiv_bot_toot
@fanf@mendeddrum.orgfrom my link log —
Linux CVE assignment process.
http://www.kroah.com/log/blog/2026/02/16/linux-cve-assignment-process/
saved 2026-02-19
@wraithe@mastodon.socialI thought “X” was a rediculous name; “W” is equally rediculous.
Secondly the “must verify” and “must use your legal name/ID” means this thing is DOA.
All IMO ofc.
What should they have used?
Websites
Fuck having any kind of govt run social media. Just have accounts that point you the official websites and be done with it.
@mia@hcommons.social'AI tools developed at the University of Oxford for analysing ... text collections. They enable the identification of keywords, topics, and categories of terms' - particularly in crowdsourced / community archives https://github.com/Digital-Scholarship-Oxfor…
@cdarwin@c.imEx-progressive Senator John Fetterman is bucking his party yet again,
but this time the fallout could drastically impact the results of future elections.
The Pennsylvania turncoat came out in favor of voter ID legislation, revealing that he would support a clean bill if it required voters to show identification before they cast their ballot.
The issue is currently gaining momentum in the Senate under the banner of the "Safeguarding American Voter Eligibility", or S…
@burningbecks@social.tchncs.deKreativ...
@arXiv_mathDG_bot@mastoxiv.pageThe Cone of J-Hermitian Matrices and a Geometric Mean
Jose Franco, Allan Merino
https://arxiv.org/abs/2602.21258 https://arxiv.org/pdf/2602.21258 https://arxiv.org/html/2602.21258
arXiv:2602.21258v1 Announce Type: new
Abstract: We study the cone $\mathscr{P}_{\text{J}}$ of positive J-Hermitian matrices associated with an indefinite signature matrix J = $\text{Id}_{p,q}$. We show that the J-exponential map is bijective and use it to analyze the algebraic and geometric structure of $\mathscr{P}_{\text{J}}$. Through a canonical identification with the cone of positive definite matrices, we endow $\mathscr{P}_{\text{J}}$ with a natural Riemannian structure. In this setting, we define a J-geometric mean as the midpoint of geodesics and prove that it is uniquely characterized as the solution of a Riccati-type equation.
toXiv_bot_toot
@cosmos4u@scicomm.xyzALMA and JWST Identification of Faint Dusty Star-forming Galaxies up to z ∼ 8 and Their Connection with Other Galaxy Populations: #galaxies almost 13 billion years old, helping to revise the history of the universe: https://www.umass.edu/news/article/international-team-astronomers-led-umass-amherst-may-have-just-found-one-missing-links
@arXiv_csLG_bot@mastoxiv.pageCrosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/3]:
- SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciary
Farabi, Pinto, Lu, Ramos-Maqueda, Das, Deeb, Sautmann
https://arxiv.org/abs/2602.18431 https://mastoxiv.page/@arXiv_csCY_bot/116119352329590193
- Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings
Sachin Gopal Wani, Eric Page, Ajay Dholakia, David Ellison
https://arxiv.org/abs/2602.20164 https://mastoxiv.page/@arXiv_csCL_bot/116130101399805837
- VISION-ICE: Video-based Interpretation and Spatial Identification of Arrhythmia Origins via Neura...
Dorsa EPMoghaddam, Feng Gao, Drew Bernard, Kavya Sinha, Mehdi Razavi, Behnaam Aazhang
https://arxiv.org/abs/2602.20165 https://mastoxiv.page/@arXiv_csCV_bot/116130222034322594
- Benchmarking Early Deterioration Prediction Across Hospital-Rich and MCI-Like Emergency Triage Un...
KMA Solaiman, Joshua Sebastian, Karma Tobden
https://arxiv.org/abs/2602.20168 https://mastoxiv.page/@arXiv_csCY_bot/116130239074411770
- Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
Yang, Tian, Jia, Zhang, Zheng, Wang, Su, He, Liu, Lan
https://arxiv.org/abs/2602.20176 https://mastoxiv.page/@arXiv_qbioBM_bot/116130281674122586
- Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic St...
Aniruddha Bora, Isabel K. Alvarez, Julie Chalfant, Chryssostomos Chryssostomidis
https://arxiv.org/abs/2602.20177 https://mastoxiv.page/@arXiv_csNE_bot/116130397676559696
- Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
Yongwei Yi, Xinping Yi, Wenjin Wang, Xiao Li, Shi Jin
https://arxiv.org/abs/2602.20178 https://mastoxiv.page/@arXiv_eessSP_bot/116130257424413457
- OrgFlow: Generative Modeling of Organic Crystal Structures from Molecular Graphs
Mohammadmahdi Vahediahmar, Matthew A. McDonald, Feng Liu
https://arxiv.org/abs/2602.20195 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116130271189617558
- KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar Shatabda
https://arxiv.org/abs/2602.20198 https://mastoxiv.page/@arXiv_qbioQM_bot/116130341315320687
- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
Shaorong Chen, Jingbo Zhou, Jun Xia
https://arxiv.org/abs/2602.20209 https://mastoxiv.page/@arXiv_qbioQM_bot/116130374083646541
- The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
Zien Ma, S. M. Shermer, Oktay Karaku\c{s}, Frank C. Langbein
https://arxiv.org/abs/2602.20289 https://mastoxiv.page/@arXiv_eessSP_bot/116130267228834775
- Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Appro...
Haochen Zhang, Zhong Zheng, Lingzhou Xue
https://arxiv.org/abs/2602.20297 https://mastoxiv.page/@arXiv_statML_bot/116130255458256497
- Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Eva...
Joyanta Jyoti Mondal
https://arxiv.org/abs/2602.20303 https://mastoxiv.page/@arXiv_csAI_bot/116130097466859145
- An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes ...
Shyr, Hu, Tinker, Cassini, Byram, Hamid, Fabbri, Wright, Peterson, Bastarache, Xu
https://arxiv.org/abs/2602.20324 https://mastoxiv.page/@arXiv_csAI_bot/116130100089848459
- Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Th...
Jingcheng Yang, Tianhu Xiong, Shengyi Qian, Klara Nahrstedt, Mingyuan Wu
https://arxiv.org/abs/2602.20330 https://mastoxiv.page/@arXiv_csCV_bot/116130463214879334
- No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2602.20332 https://mastoxiv.page/@arXiv_csCL_bot/116130370809116915
- Learning During Detection: Continual Learning for Neural OFDM Receivers via DMRS
Mohanad Obeed, Ming Jian
https://arxiv.org/abs/2602.20361 https://mastoxiv.page/@arXiv_csIT_bot/116130289537785136
- Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
Joel Persson, Jurri\"en Bakker, Dennis Bohle, Stefan Feuerriegel, Florian von Wangenheim
https://arxiv.org/abs/2602.20383 https://mastoxiv.page/@arXiv_statME_bot/116130509065601748
- Selecting Optimal Variable Order in Autoregressive Ising Models
Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov
https://arxiv.org/abs/2602.20394 https://mastoxiv.page/@arXiv_statML_bot/116130299369541741
toXiv_bot_toot
@arXiv_physicschemph_bot@mastoxiv.pageDeep learning of committor and explainable artificial intelligence analysis for identifying reaction coordinates
Toshifumi Mori, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi
https://arxiv.org/abs/2603.25237 https://arxiv.org/pdf/2603.25237 https://arxiv.org/html/2603.25237
arXiv:2603.25237v1 Announce Type: new
Abstract: In complex molecular systems, the reaction coordinate (RC) that characterizes transition pathways is essential to understand underlying molecular mechanisms. This review surveys a framework for identifying the RC by applying deep learning to the committor, which provides the most reliable measure of the progress along a transition path. The inputs to the neural network are collective variables (CVs) expressed as functions of atomic coordinates of the system, and the corresponding RC is predicted as the output by training the network on the committor as the learning target. Because deep learning models typically operate in a black-box manner, it is difficult to determine which input variables govern the predictions. The incorporation of eXplainable Artificial Intelligence (XAI) techniques enables quantitative assessment of the contributions of individual input variables to the predictions. This approach allows the identification of CVs that play dominant roles and demonstrates that the committor distribution on the surface using important CVs is separated by well-defined boundaries. The framework provides an explainable deep learning strategy for assigning a molecular mechanism from the RC and is applicable to a wide range of complex molecular systems.
toXiv_bot_toot
@3sframe@social.linux.pizzaAh yes, force face identification on your userbase that are known for using anime characters as their avatars. They won't leave over this, right? #discord
@cosmos4u@scicomm.xyzMulti-Sensor Trajectory Reconstruction of the 24 April 2025 Alaska #Fireball and Implications for Planetary Defense: https://arxiv.org/abs/2603.22630 -> "On 24 April 2025 at 18:30:57 UTC, a bright daytime fireball over Southcentral Alaska was detected by 37 seismic stations, 16 single infrasound sensors, and four infrasound arrays, yielding 30 ballistic and multiple fragmentation arrivals. The unprecedented density of seismoacoustic coverage enabled detailed reconstruction of the event using acoustic signals, with fragmentation source locations further guiding the identification of Doppler weather radar signatures of a meteorite fall. Incorporation of a radar-derived terminal point yielded a final trajectory solution, which agreed closely with an independent optical trajectory solution from video analysis. [...] This uniquely well-recorded event demonstrates the capability of dense seismoacoustic networks to constrain bolide trajectories, energetics, and fragmentation, with radar and optical data providing critical confirmation and complementary perspectives."
@arXiv_qbioPE_bot@mastoxiv.pageModelling SARS-CoV-2 epidemics via compartmental and cellular automaton SEIRS model with temporal immunity and vaccination
J. Ilnytskyi, T. Patsahan
https://arxiv.org/abs/2603.22498 https://arxiv.org/pdf/2603.22498 https://arxiv.org/html/2603.22498
arXiv:2603.22498v1 Announce Type: new
Abstract: We consider the SEIRS epidemiology model with such features of the COVID-19 outbreak as: abundance of unidentified infected individuals, limited time of immunity and a possibility of vaccination. The control of the pandemic dynamics is possible by restricting the transmission rate, increasing identification and isolation rate of infected individuals, and via vaccination. For the compartmental version of this model, we found stable disease-free and endemic stationary states. The basic reproductive number is analysed with respect to balancing quarantine and vaccination measures. The positions and heights of the first peak of outbreak are obtained numerically and fitted to simple in usage algebraic forms. Lattice-based realization of this model is studied by means of the asynchronous cellular automaton algorithm. This permitted to study the effect of social distancing by varying the neighbourhood size of the model. The attempt is made to match the quarantine and vaccination effects.
toXiv_bot_toot
@cdarwin@c.imA federal judge on Monday
blocked a California law from going into effect that would
ban federal immigration agents from covering their faces,
... but they will still be required to wear clear identification showing their agency and badge number.
https://www.
@cosmos4u@scicomm.xyzPossible identification of the Luna 9 Moon landing site using a novel machine learning algorithm: #Luna9 Spacecraft, 60 Years After It Vanished: https://www.iflscience.com/nasas-lunar-orbiter-may-have-spotted-long-lost-luna-9-spacecraft-60-years-after-it-vanished-82507
@mia@hcommons.social'AI tools developed at the University of Oxford for analysing ... text collections. They enable the identification of keywords, topics, and categories of terms' - particularly in crowdsourced / community archives https://github.com/Digital-Scholarship-Oxfor…
