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@seemannsmission@c.im
2025-12-31 20:08:34

Safe Journey from 2025 to 2026 - All the best and blessings for 2026 for all at sea, in foreign ports or ashore, seafarers, families & friends.
Alles Gute und viel Segen für 2026 für alle auf See, in fremden Häfen und an Land, Seeleute, Familien und Freund*innen.

Ein rotes Schiff fährt durchs Bild.
Dazu das Logo der Seemannsmission und der Text des Posts

Standing atop a seven-ton military truck with his wife, Vance watched the largest Marine exercise in a decade on Oct. 18,
featuring F-18 and F-35 flyovers,
parachute landings,
Navy Seals swimming ashore,
offshore destroyers and amphibious ships,
simulated village explosions,
and MH-60 helicopters dropping additional Seals over the water.
-- all to distract attention from the massive "No Kings" protests happening all across the country.

@seemannsmission@c.im
2025-12-24 21:28:42

Frohe Weihnachten & Merry Christmas to all who celebrate it at sea, in foreign ports and ashore, seafarers, families and friends.
With photos from Amsterdam, Stade, Douala, Durban - just as examples.

Eine Collage aus vier Fotos mit Seeleuten und Mitarbeitenden der Seemannsmission, teils als Weijnachtsmann verkleidet.
Dazu Frohe Weihnachten auf Englisch, Französische und Deutsch

Standing atop a seven-ton military truck with his wife, Vance watched the largest Marine exercise in a decade on Oct. 18,
featuring F-18 and F-35 flyovers,
parachute landings,
Navy Seals swimming ashore,
offshore destroyers and amphibious ships,
simulated village explosions,
and MH-60 helicopters dropping additional Seals over the water.
-- all to distract attention from the massive "No Kings" protests happening all across the country.

@marjolica@social.linux.pizza
2025-12-08 11:47:03

well in the UK duty on wine varies according to the alcohol percentage, so £2.44 if it is 11%, up to £3.32 if it 15%.
So given other costs the amount actually paid to the vineyard for cheap plonk can be derisory.
I do have to differ slightly about your seeming rejection of the possibility of good white wines, though agree with Tom that finding a good Chardonnay takes care, especially on my budget.
Disclaimer: I have no no wine diploma, but my dad was the Wine and Spirit Manag…

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 11:50:19

Crosslisted article(s) found for cs.LG. arxiv.org/list/cs.LG/new
[1/3]:
- Optimizing Text Search: A Novel Pattern Matching Algorithm Based on Ukkonen's Approach
Xinyu Guan, Shaohua Zhang
arxiv.org/abs/2512.16927 mastoxiv.page/@arXiv_csDS_bot/
- SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization
Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami, Jiajun Cao, Shihab Rashid, Christian Bock
arxiv.org/abs/2512.16956 mastoxiv.page/@arXiv_csSE_bot/
- MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
Saksham Sahai Srivastava, Haoyu He
arxiv.org/abs/2512.16962 mastoxiv.page/@arXiv_csCR_bot/
- Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Clas...
Faisal Ahmed
arxiv.org/abs/2512.16964 mastoxiv.page/@arXiv_eessIV_bo
- Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, et al.
arxiv.org/abs/2512.16969 mastoxiv.page/@arXiv_csAI_bot/
- PAACE: A Plan-Aware Automated Agent Context Engineering Framework
Kamer Ali Yuksel
arxiv.org/abs/2512.16970 mastoxiv.page/@arXiv_csAI_bot/
- A Women's Health Benchmark for Large Language Models
Elisabeth Gruber, et al.
arxiv.org/abs/2512.17028 mastoxiv.page/@arXiv_csCL_bot/
- Perturb Your Data: Paraphrase-Guided Training Data Watermarking
Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
arxiv.org/abs/2512.17075 mastoxiv.page/@arXiv_csCL_bot/
- Disentangled representations via score-based variational autoencoders
Benjamin S. H. Lyo, Eero P. Simoncelli, Cristina Savin
arxiv.org/abs/2512.17127 mastoxiv.page/@arXiv_statML_bo
- Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors
Huixin Zhan
arxiv.org/abs/2512.17146 mastoxiv.page/@arXiv_csCR_bot/
- Application of machine learning to predict food processing level using Open Food Facts
Arora, Chauhan, Rana, Aditya, Bhagat, Kumar, Kumar, Semar, Singh, Bagler
arxiv.org/abs/2512.17169 mastoxiv.page/@arXiv_qbioBM_bo
- Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning
Sandeep Neela
arxiv.org/abs/2512.17185 mastoxiv.page/@arXiv_qfinRM_bo
- Do Foundational Audio Encoders Understand Music Structure?
Keisuke Toyama, Zhi Zhong, Akira Takahashi, Shusuke Takahashi, Yuki Mitsufuji
arxiv.org/abs/2512.17209 mastoxiv.page/@arXiv_csSD_bot/
- CheXPO-v2: Preference Optimization for Chest X-ray VLMs with Knowledge Graph Consistency
Xiao Liang, Yuxuan An, Di Wang, Jiawei Hu, Zhicheng Jiao, Bin Jing, Quan Wang
arxiv.org/abs/2512.17213 mastoxiv.page/@arXiv_csCV_bot/
- Machine Learning Assisted Parameter Tuning on Wavelet Transform Amorphous Radial Distribution Fun...
Deriyan Senjaya, Stephen Ekaputra Limantoro
arxiv.org/abs/2512.17245 mastoxiv.page/@arXiv_condmatmt
- AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
Madhava Gaikwad
arxiv.org/abs/2512.17251 mastoxiv.page/@arXiv_csCR_bot/
- Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
arxiv.org/abs/2512.17254 mastoxiv.page/@arXiv_csCR_bot/
- Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling A...
Abhivansh Gupta
arxiv.org/abs/2512.17259 mastoxiv.page/@arXiv_csMA_bot/
- Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
Saeed Ebrahimi, Weijie Jiang, Jaewon Yang, Olafur Gudmundsson, Yucheng Tu, Huizhong Duan
arxiv.org/abs/2512.17277 mastoxiv.page/@arXiv_csIR_bot/
- LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection
Ioannis Stylianou, Achintya kr. Sarkar, Nauman Dawalatabad, James Glass, Zheng-Hua Tan
arxiv.org/abs/2512.17281 mastoxiv.page/@arXiv_csSD_bot/
- Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz, Sherri Rose
arxiv.org/abs/2512.17340 mastoxiv.page/@arXiv_statME_bo
toXiv_bot_toot