Tootfinder

Amazon's CTO, Dr. Werner Vogels, recently shared this short post about how software development improves with age. His perspective revolves around the recurrence of certain patterns in technology where the experienced developer can say "New technology, same pattern.", and sift through the daily onslaught of new technologies in a calm fashion, weeding out what's just flash from more interesting developments.
"Development gets better with Age"

Beyond Words: Infusing Conversational Agents with Human-like Typing Behaviors
Jijie Zhou, Yuhan Hu
https://arxiv.org/abs/2510.08912 https://arxiv.org/pdf/2…

Beyond Words: Infusing Conversational Agents with Human-like Typing Behaviors
Recently, large language models have facilitated the emergence of highly intelligent conversational AI capable of engaging in human-like dialogues. However, a notable distinction lies in the fact that these AI models predominantly generate responses rapidly, often producing extensive content without emulating the thoughtful process characteristic of human cognition and typing. This paper presents a design aimed at simulating human-like typing behaviors, including patterns such as hesitation and…

Benders Decomposition for Passenger-Oriented Train Timetabling with Hybrid Periodicity
Zhiyuan Yao, Anita Sch\"obel, Lei Nie, Sven J\"ager
https://arxiv.org/abs/2511.09892 https://arxiv.org/pdf/2511.09892 https://arxiv.org/html/2511.09892
arXiv:2511.09892v1 Announce Type: new
Abstract: Periodic timetables are widely adopted in passenger railway operations due to their regular service patterns and well-coordinated train connections. However, fluctuations in passenger demand require varying train services across different periods, necessitating adjustments to the periodic timetable. This study addresses a hybrid periodic train timetabling problem, which enhances the flexibility and demand responsiveness of a given periodic timetable through schedule adjustments and aperiodic train insertions, taking into account the rolling stock circulation. Since timetable modifications may affect initial passenger routes, passenger routing is incorporated into the problem to guide planning decisions towards a passenger-oriented objective. Using a time-space network representation, the problem is formulated as a dynamic railway service network design model with resource constraints. To handle the complexity of real-world instances, we propose a decomposition-based algorithm integrating Benders decomposition and column generation, enhanced with multiple preprocessing and accelerating techniques. Numerical experiments demonstrate the effectiveness of the algorithm and highlight the advantage of hybrid periodic timetables in reducing passenger travel costs.
toXiv_bot_toot

A Multi-Simulation Bridge for IoT Digital Twins
Marco Picone, Samuele Burattini, Marco Melloni, Prasad Talasila, Davide Ziglioli, Matteo Martinelli, Nicola Bicocchi, Alessandro Ricci, Peter Gorm Larsen
https://arxiv.org/abs/2510.08164

A Multi-Simulation Bridge for IoT Digital Twins
The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, and real-time operation. This paper introduces the concept, design, and experimental evaluation of the DT Simulation Bridge - a software framework that enables diverse interaction patterns between active DTs and simulation environments. The framework supports both the DT developme…

Series A, Episode 12 - Deliverance
VILA: [Aside, to Gan] I told you she was mad.
GAN: [To Meegat] How long have you been waiting?
https://blake.torpidity.net/m/112/314 B7B4

Semantic Representation of Processes with Ontology Design Patterns
Ebrahim Norouzi, Sven Hertling, J\"org Waitelonis, Harald Sack
https://arxiv.org/abs/2509.23776 https://

Semantic Representation of Processes with Ontology Design Patterns
The representation of workflows and processes is essential in materials science engineering, where experimental and computational reproducibility depend on structured and semantically coherent process models. Although numerous ontologies have been developed for process modeling, they are often complex and challenging to reuse. Ontology Design Patterns (ODPs) offer modular and reusable modeling solutions to recurring problems; however, these patterns are frequently neither explicitly published n…

Okay, here's the promised follow-up with more authors I respect who didn't make it onto this list. I won't do deep dives but I'll list at least one work per author:
YA novelists:
- Randi Pink ("Girls Like Us")
- Louisa Onomé ("Twice as Perfect")
- Emery Lee ("Meet Cute Diary")
- Robin Benway ("Far from the Tree")
- Angela Velez ("Lulu and Milagro's Search for Clarity")
Children's book authors:
- Jacqueline Davies ("Bubbles Up")
- Freya Hartas ("Slow Down in the Park")
Novelists:
- Rimma Onoseta ("How You Grow Wings")
Graphic novelists:
- Linda Medley ("Castle Waiting")
- 🖋️Magsalene Visaggio 🖌️Paulina Ganucheau ("Girlmode")
- Ursula Vernon ("Digger")
- SJ Sindu ("Tall Water" w/ Dion MBD)
- Hope Larson ("Be That Way"; "Salt Magic" w/ Rebecca Mock)
- Lily Williams Karen Schneemann ("Go With the Flow")
- Maia Kobabe ("Gender Queer")
- Kay O'Neill ("Tea Dragon Society")
- Marjane Satrapi ("Persepolis")
Mangaka:
- Kaoru Mori ("Young Bride's Stories")
- Ryoko Kui ("Delicious in Dungeon")
- Natsuki Takaya ("Fruits Basket")
Anime writers/directors and/or Japanese light/fantasy/SF novelists:
- Nahoko Uehashi ("Moribito")
- Sayo Yamamoto ("Michiko & Hatchin"; "Yuri!!! On Ice")
- Mari Okada ("Ano Hana: The Flower we Saw That Day"; "Toradora!")
Game designers/programmers:
(Upon review I was pretty remiss in skipping over a few of these people, some of whom I wasn't aware of but most of whom I just didn't remember when writing my short list. Subconscious misogyny in action. Short & Thorson probably would have squeezed out some of the YA authors I included, although I have no real regrets.)
- Junko Kawano ("Suikoden")
- Elizabeth LaPensée ("When Rivers Were Trails")
- Momo Pixel ("Hair Nah")
- Zoë Quinn ("Depression Quest"; narrative designer on "Solar Ash")
- Kellee Santiago ("Cloud"; "Flower")
- Tanya X. Short ("Moon Hunters")
- Kim Swift ("Portal")
- Maddy Thorson ("Celeste")
- Andi McClure @… ("Jumpman")
Note: I haven't included composers or artists here, but there's a deep bench.
Games journalists/steamers:
- Tanya DePass @… (#/INeedDiverseGames; twitch streams)
- Anita Sarkeesian (Feminist Frequency)
Game/play scholars:
- Mary Flanagan ("Critical Play")
- Tracy Fullerton ("Game Design Workshop")
- Brenda Laurel ("Toward the Design of a Computer-Based Interactive Fantasy System")
- Janet Murray ("Hamlet on the Holodeck"l
- Susana Tosca ("A Pragmatics of Links")
- Jichen Zhu ("Agency Play: Dimensions of Agency for Interactive Narrative Design")
- Magy Seif El Nasr ("Design patterns to guide player movement in 3D games")
- Kate Compton ("Causal Creators"; also "Spore")
P.S. upon consideration I've decided not to include any authors who are men in this coda.
There are definitely others who probably deserve to be here that I'm forgetting...
#GsmeDesign #Authors

Beyond Divergence: Characterizing Co-exploration Patterns in Collaborative Design Processes
Xinhui Ye, Joep Frens, Jun Hu
https://arxiv.org/abs/2510.01188 https://

Beyond Divergence: Characterizing Co-exploration Patterns in Collaborative Design Processes
Exploration is crucial in the design process and is known for its essential role in fostering creativity and enhancing design outcomes. Within design teams, exploration evolves into co-exploration, a collaborative and dynamic practice that this study aims to unpack. To investigate this experience, we conducted a longitudinal observational study with 61 students across 16 design teams. Over five months of weekly diary-interviews, we uncovered the intricate dynamics of co-exploration. Our main co…

Dark and Bright Patterns in Cookie Consent Requests
Paul Gra{\ss}l, Hanna Schraffenberger, Frederik Zuiderveen Borgesius, Moniek Buijzen
https://arxiv.org/abs/2509.18210 https:/…

Human-in-the-loop Optimisation in Robot-assisted Gait Training
Andreas Christou, Andreas Sochopoulos, Elliot Lister, Sethu Vijayakumar
https://arxiv.org/abs/2510.05780 https://

Human-in-the-loop Optimisation in Robot-assisted Gait Training
Wearable robots offer a promising solution for quantitatively monitoring gait and providing systematic, adaptive assistance to promote patient independence and improve gait. However, due to significant interpersonal and intrapersonal variability in walking patterns, it is important to design robot controllers that can adapt to the unique characteristics of each individual. This paper investigates the potential of human-in-the-loop optimisation (HILO) to deliver personalised assistance in gait t…

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/3]:
- Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Zheng, Venkatasubramanian, Li, Braverman, Ke, Hou, Jin, Agrawal

It's time for ✨Decal Patterns✨
Reference from Apache ECharts https://echarts.apache.org/handbook/en/best-practices/aria/#decal-patterns — Github issue here

Analysis and Design of a Reconfigurable Metasurface based on Chalcogenide Phase-Change Material for Operation in the Near and Mid Infrared
Alexandros Pitilakis, Alexandros Katsios, Alexandros-Apostolos A. Boulogeorgos
https://arxiv.org/abs/2510.00950

Analysis and Design of a Reconfigurable Metasurface based on Chalcogenide Phase-Change Material for Operation in the Near and Mid Infrared
We analyze, design and assess the performance of a reflective reconfigurable metasurface (MS) architecture for optical wireless communications. The device is based on the Ge-Sb-Te (GST225) phase-change material (PCM) alloy, thermally toggled between highly distinct amorphous and crystalline phase-states. We employ simple conductive MS patterns to tune its resonance frequency, while allowing the unit cell response to be analytically predicted using transmission line theory and equivalent circuit…

Series D, Episode 04 - Stardrive
VILA: [All "drunk mannerisms" vanishing instantly] Drunk? Who's drunk?
DAYNA: You are.
VILA: Show me how to get drunk on plain water and I won't waste time.
DAYNA: Well, then why pretend?
https://blake.torpidity.net/m/404/72…

Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Zheng, Venkatasubramanian, Li, Braverman, Ke, Hou, Jin, Agrawal

Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths
Anirud Nandakumar, Chayan Banerjee, Lelitha Devi Vanajakshi
https://arxiv.org/abs/2509.21745 https:/…

Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths
Efficient traffic signal control (TSC) is crucial for reducing congestion, travel delays, pollution, and for ensuring road safety. Traditional approaches, such as fixed signal control and actuated control, often struggle to handle dynamic traffic patterns. In this study, we propose a novel adaptive TSC framework that leverages Reinforcement Learning (RL), using the Proximal Policy Optimization (PPO) algorithm, to minimize total queue lengths across all signal phases. The challenge of efficientl…

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird, Jenna Butler, Rob DeLine, Brian Houck
https://arxiv.org/abs/2510.00762

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Generative AI is reshaping software work, yet we lack clear guidance on where developers most need and want support, and how to design it responsibly. We report a large-scale, mixed-methods study of N=860 developers that examines where, why, and how they seek or limit AI help, providing the first task-aware, empirically validated mapping from developers' perceptions of their tasks to AI adoption patterns and responsible AI priorities. Using cognitive appraisal theory, we show that task evaluati…

MACO: A Multi-Agent LLM-Based Hardware/Software Co-Design Framework for CGRAs
Zesong Jiang, Yuqi Sun, Qing Zhong, Mahathi Krishna, Deepak Patil, Cheng Tan, Sriram Krishnamoorthy, Jeff Zhang
https://arxiv.org/abs/2509.13557

MACO: A Multi-Agent LLM-Based Hardware/Software Co-Design Framework for CGRAs
Coarse-grained Reconfigurable Arrays (CGRAs) are a promising computing architecture that can deliver high-performance, energy-efficient acceleration across diverse domains. By supporting reconfiguration at the functional unit level, CGRAs efficiently adapt to varying computational patterns and optimize resource utilization. However, designing CGRAs is highly challenging due to the vast design space, independent architectural parameters, and the time-consuming nature of manual design. Fortunatel…

Moody Urbanity - Literally 📄
情绪化城市 - 字面上 📄
📷 Pentax MX
🎞️ Ilford HP5 Plus 400，expired 1993
#filmphotography #Photography #blackandwhite

Series B, Episode 04 - Horizon
BLAKE: Where in Zone Nine?
ZEN: The freighter is on course for the only habitable planet in Zone Nine.
BLAKE: Which is?
ZEN: Code-named Horizon.
BLAKE: "Horizon"?
AVON: Code-named by whom?
https://blake.torpidity.net/m/204/34

»In the old days, technical writers produced documentation in near isolation, surrounded by complex and similarly isolated corporate cultures. From an anthropological perspective, old manuals are like tribal artefacts. The resulting docs show surprisingly rich design and content patterns, more refreshing than we’re used to in the age of googling for Stack Exchange questions and of bowing to Stripe docs.«

Series C, Episode 02 - Powerplay
ZEE: What's the matter with your arm?
VILA: Broken, nothing really.
ZEE: Let me see if I can make it more comfortable for you.
https://blake.torpidity.net/m/302/246 B7B3

A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines
Sepideh Masoudi, Mark Edward Michael Daly, Jannis Kiesel, Stefan Tai
https://arxiv.org/abs/2510.12354

A Non-Intrusive Framework for Deferred Integration of Cloud Patterns in Energy-Efficient Data-Sharing Pipelines
As data mesh architectures gain traction in federated environments, organizations are increasingly building consumer-specific data-sharing pipelines using modular, cloud-native transformation services. Prior work has shown that structuring these pipelines with reusable transformation stages enhances both scalability and energy efficiency. However, integrating traditional cloud design patterns into such pipelines poses a challenge: predefining and embedding patterns can compromise modularity, re…

Crosslisted article(s) found for stat.AP. https://arxiv.org/list/stat.AP/new
[1/1]:
- Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
Zheng, Venkatasubramanian, Li, Braverman, Ke, Hou, Jin, Agrawal

Moir\'eTac: A Dual-Mode Visuotactile Sensor for Multidimensional Perception Using Moir\'e Pattern Amplification
Kit-Wa Sou, Junhao Gong, Shoujie Li, Chuqiao Lyu, Ziwu Song, Shilong Mu, Wenbo Ding
https://arxiv.org/abs/2509.12714

MoiréTac: A Dual-Mode Visuotactile Sensor for Multidimensional Perception Using Moiré Pattern Amplification
Visuotactile sensors typically employ sparse marker arrays that limit spatial resolution and lack clear analytical force-to-image relationships. To solve this problem, we present \textbf{MoiréTac}, a dual-mode sensor that generates dense interference patterns via overlapping micro-gratings within a transparent architecture. When two gratings overlap with misalignment, they create moiré patterns that amplify microscopic deformations. The design preserves optical clarity for vision tasks while …

Increase Alpha: Performance and Risk of an AI-Driven Trading Framework
Sid Ghatak, Arman Khaledian, Navid Parvini, Nariman Khaledian
https://arxiv.org/abs/2509.16707 https://

Increase Alpha: Performance and Risk of an AI-Driven Trading Framework
There are inefficiencies in financial markets, with unexploited patterns in price, volume, and cross-sectional relationships. While many approaches use large-scale transformers, we take a domain-focused path: feed-forward and recurrent networks with curated features to capture subtle regularities in noisy financial data. This smaller-footprint design is computationally lean and reliable under low signal-to-noise, crucial for daily production at scale. At Increase Alpha, we built a deep-learning…

Socratic Mind: Impact of a Novel GenAI-Powered Assessment Tool on Student Learning and Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon
https://arxiv.org/abs/2509.16262

Socratic Mind: Impact of a Novel GenAI-Powered Assessment Tool on Student Learning and Higher-Order Thinking
This study examines the impact of Socratic Mind, a Generative Artificial Intelligence (GenAI) powered formative assessment tool that employs Socratic questioning to support student learning in a large, fully online undergraduate-level computing course. Employing a quasi-experimental, mixed-methods design, we investigated participants' engagement patterns, the influence of user experience on engagement, and impacts on both perceived and actual learning outcomes. Data were collected from the syst…

#Blakes7 Series A, Episode 06 - Seek-Locate-Destroy
AVON: Space Commander Travis.
BLAKE: Travis!
JENNA: Do you know him?
BLAKE: I thought he was dead. I was sure I'd killed him.
https://blake.torpidity.net/m/106/…

Robust Near-Optimal Nonlinear Target Enclosing Guidance
Abhinav Sinha, Rohit V. Nanavati
https://arxiv.org/abs/2509.19477 https://arxiv.org/pdf/2509.19477

Robust Near-Optimal Nonlinear Target Enclosing Guidance
This paper proposes a nonlinear optimal guidance law that enables a pursuer to enclose a target within arbitrary geometric patterns, which extends beyond conventional circular encirclement. The design operates using only relative state measurements and formulates a target enclosing guidance law in which the vehicle's lateral acceleration serves as the steering control, making it well-suited for aerial vehicles with turning constraints. Our approach generalizes and extends existing guidance stra…

Series C, Episode 11 - Moloch
CALLY: And that's what the teleport did to him?
DAYNA: How will the Sardoans make out without him?
https://blake.torpidity.net/m/311/577 B7B3

Series D, Episode 08 - Games
AVON: Tell me everything you know about Belkov's One Nine Seven computer.
ORAC: You suggested I spared you the technical details.
AVON: Oh, don't sulk, Orac. I have a little more time now.
https://blake.torpidity.net/m/408/277 B7B4

LASLiN: A Learning-Augmented Peer-to-Peer Network
Julien Dallot, Caio Caldeira, Arash Pourdamghani, Olga Goussevskaia, Stefan Schmid
https://arxiv.org/abs/2509.11904 https://

LASLiN: A Learning-Augmented Peer-to-Peer Network
We introduce a learning-augmented peer-to-peer (P2P) network design that leverages the predictions of traffic patterns to optimize the network's topology. While keeping formal guarantees on the standard P2P metrics (routing path length, maximum degree), we optimize the network in a demand-aware manner and minimize the path lengths weighted by the peer-to-peer communication demands. Our protocol is learning-augmented, meaning that each node receives an individual, possibly inaccurate prediction …

When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace
Qing (Diane), Hu, Qing Xiao, Hancheng Cao, Hong Shen
https://arxiv.org/abs/2509.10993

When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace
As Generative AI (GenAI) becomes increasingly embedded in the workplace, managers are beginning to create Manager Clone Agents - AI-powered digital surrogates that are trained on their work communications and decision patterns to perform managerial tasks on their behalf. To investigate this emerging phenomenon, we conducted six design fiction workshops (n = 23) with managers and workers, in which participants co-created speculative scenarios and discussed how Manager Clone Agents might transfor…

#Blakes7 Series D, Episode 02 - Power
KATE: Stop it, Pella! [Kate rushes at Pella, who shoots her dead. Pella enters the launch silo and the door closes before the others can rush in. Avon takes the crystal from Kate's neckband.]
[Inside silo. The Scorpio's turntable begins to turn and rise.]

#Blakes7 Series B, Episode 02 - Shadow
LARGO: Oh, I'm fascinated. But I'm just an independent businessman.
AVON: [Takes two gems from a bag, lays them on Largo's platform] Are you sure?
https://blake.torpidity.net/m/…

Living with Data: Exploring Physicalization Approaches to Sedentary Behavior Intervention for the Elderly
Siying Hu, Zhenhao Zhang
https://arxiv.org/abs/2509.11059 https://

Living with Data: Exploring Physicalization Approaches to Sedentary Behavior Intervention for the Elderly
Sedentary behavior is a critical health risk for older adults. While digital interventions exist, they often rely on screen-based notifications that feel clinical and are easily ignored. This paper presents a Research through Design inquiry into data physicalization as a humane alternative. We designed and deployed tangible artifacts that ambiently represent sedentary patterns in older adults' homes. These artifacts transform abstract data into aesthetic, evolving forms, becoming part of the do…

Series D, Episode 04 - Stardrive
DAYNA: Of course we do.
VILA: Old friend.
VILA: Oh, uh, [Atlan grabs the front of his tunic] way back.
DAYNA: We were students of the doctor once.
ATLAN: Studying what?
https://blake.torpidity.net/m/404/343 B7B5

Series C, Episode 07 - Children of Auron
C.A. TWO: Unlike the youngsters. So what do we do?
C.A. ONE: Evacuation.
FRANTON: It's probably Auron's only chance now.
C.A. ONE: Why aren't you at the replication plant?
FRANTON: Off shift, unfortunately.
https://blake.torpidity.net/m/307/129

Series A, Episode 12 - Deliverance
TRAVIS: I don't break that easily.
SERVALAN: You were expected to resign the service. Why didn't you?
TRAVIS: I've told you, I want my command back. It's the only way I can catch -
https://blake.torpidity.net/m/112/235 B7B5

Series D, Episode 01 - Rescue
DORIAN: Relax. Your problems are over. [Draws a hand gun. Scene - Planet Terminal. Exterior. Avon is crouched next to Tarrant. Tarrant sits drinking from a canteen.]
AVON: Pass out again and I'll leave you, Tarrant.
https://blake.torpidity.net/m/401/105

#Blakes7 Series C, Episode 10 - Ultraworld
AVON: They've presented no threat so far.
TARRANT: Maybe they're biding their time.
AVON: What for? They could take us out quite easily with their technology.
https://blak…

A04 - Time Squad
BLAKE: Zen, three sixty degree survey. Put etheric detector beams on maximum. Report any space vehicles within range. Vila, put visual survey on the screen.
ZEN: Negative on all systems. There are no space vehicles within detector range.
https://blake.torpidity.net/m/104/10…

Series C, Episode 03 - Volcano
TARRANT: Like capturing us.
HOWER: Do you feel ill, or upset in any way?
DAYNA: No. What was it, some kind of narcotic spray gun?
HOWER: Something like that. Quite harmless, I assure you.
TARRANT: I'm glad to hear it.
https://blake.torpidity.net/m/303/102

Series A, Episode 08 - Duel
BLAKE: Vila, try and stay alert.
VILA: Of course I will, how can you doubt me?
BLAKE: It isn't easy, but somehow I manage it. Come on. Put us down. [Blake, Jenna and Gan teleport to the planet's surface and look around]
https://blake.torpidity.net/m/108/59…