Tootfinder

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Series A, Episode 08 - Duel
BLAKE: Yes.
AVON: Then I agree. [Lets go of Blake]
JENNA: Deactivating.
BLAKE: Vila, Gan, Jenna: we're going for a ram, take out the command ship.
GAN: A ram?!?
BLAKE: I don't see that there's any other hope for us.
https://blake.torpidity.net/m/108/173

Cross-Linguistic Analysis of Memory Load in Sentence Comprehension: Linear Distance and Structural Density
Krishna Aggarwal
https://arxiv.org/abs/2509.20916 https://

Cross-Linguistic Analysis of Memory Load in Sentence Comprehension: Linear Distance and Structural Density
This study examines whether sentence-level memory load in comprehension is better explained by linear proximity between syntactically related words or by the structural density of the intervening material. Building on locality-based accounts and cross-linguistic evidence for dependency length minimization, the work advances Intervener Complexity-the number of intervening heads between a head and its dependent-as a structurally grounded lens that refines linear distance measures. Using harmonize…

Foggy fog 🌫️
雾雾的雾 🌫️
📷 Pentax MX
🎞️ Ilford HP5 Plus, expired 1993
#filmphotography #Photography #blackandwhite

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
Bibekananda Patra, Aditya Mahesh Kolte, Sandipan Bandyopadhyay
https://arxiv.org/abs/2510.08973

A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
This paper presents the classification of a general quadric into an axisymmetric quadric (AQ) and the solution to the problem of the proximity of a given point to an AQ. The problem of proximity in $R^3$ is reduced to the same in $R^2$, which is not found in the literature. A new method to solve the problem in $R^2$ is used based on the geometrical properties of the conics, such as sub-normal, length of the semi-major axis, eccentricity, slope and radius. Furthermore, the problem in $R^2$ is ca…

Expansion of trivariate polynomials using proximity
Orit E. Raz
https://arxiv.org/abs/2510.12191 https://arxiv.org/pdf/2510.12191

Expansion of trivariate polynomials using proximity
We extend the proximity technique of Solymosi and Zahl [J. Combin. Theory, Ser. A (2024)] to the setting of trivariate polynomials. In particular, we prove the following result: Let $f(x,y,z)=(x-y)^2+(φ(x)-z)^2$, where $φ(x)\in \mathbb{R}[x]$ has degree at least 3. Then, for every finite $A,B,C\subset \mathbb{R}$ each of size $n$, one has $|f(A,B,C)|=Ω(n^{5/3-\varepsilon})$, for every $\varepsilon>0$, where the constant of proportionality depends on $\varepsilon$ and on ${\rm deg}(…

Obacht, Kulturwissenschaftler:innen, "an der Basis" entstehen hier ganz neue Interpretationskategorien!

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

Proximity-based cities emit less mobility-driven CO2
https://arxiv.org/abs/2510.00094

Proximity-based cities emit less mobility-driven CO$_2$
In the quest for more environmentally sustainable urban areas, the concept of the 15-minute city has been proposed to encourage active mobility, primarily through walking and cycling. An urban area is considered a ``15-minute city" if every resident can access essential services within a 15-minute walk or bike ride from their home. However, there is an ongoing debate about the effectiveness of this model in reducing car usage and carbon emissions. In this study, we conduct a large-scale data-dr…

Best Proximity Points for Geraghty-Type Non-Self Mappings with a Registration-Inspired Alignment Model
Fatemeh Fogh, Sara Behnamian
https://arxiv.org/abs/2510.02406 https://

Best Proximity Points for Geraghty-Type Non-Self Mappings with a Registration-Inspired Alignment Model
We study Geraghty-type non-self mappings within the framework of best proximity point theory. By introducing auxiliary functions with subsequential convergence, we establish general conditions ensuring the existence and uniqueness of best proximity points. Our results extend and unify earlier work on proximal and Kannan-type contractions under a Geraghty setting, and we provide counterexamples showing that the auxiliary assumptions are essential. To demonstrate applicability, we construct a reg…

The slow motion of #Uranus in just one day (24 hours ago and tonight), easily visible thanks to the current proximity to the stars 14 and 13 Tauri of similar brightness: https://www.facebook.com/planetarium.bochum/posts/pfbid0pGCePvJoCDXcnfjcPXBtmJHUNFjXYRVheG5tmuwi74w7CxdyUs48wVaaQthkfSidl - one could also see the changing shape of the triangle in binoculars!

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Project Severe Weather Archive of the Philippines (SWAP) Part 2: Baseline Climatology of Close Proximity Soundings in Hailstorm Environments across Luzon, Philippines
Generich H. Capuli
https://arxiv.org/abs/2510.09530

Project Severe Weather Archive of the Philippines (SWAP) Part 2: Baseline Climatology of Close Proximity Soundings in Hailstorm Environments across Luzon, Philippines
The environments of severe thunderstorms that produced hail were examined using 171 proximity soundings (2005-2024) archived in the 3rd Data Release of Project SWAP. These soundings were categorized based on their geographical occurrence into three hail-prone environments across Luzon, Philippines. For each case, key parameters describing instability, vertical wind structure, and moisture were calculated to assess their relationship to hail formation. The probability of hail occurrence, express…

Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
Binhong Li, Xiao Yan, Shangqi Lu
https://arxiv.org/abs/2510.05975 https://arxiv.or…

Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
Approximate nearest neighbor (ANN) search in high-dimensional metric spaces is a fundamental problem with many applications. Over the past decade, proximity graph (PG)-based indexes have demonstrated superior empirical performance over alternatives. However, these methods often lack theoretical guarantees regarding the quality of query results, especially in the worst-case scenarios. In this paper, we introduce the α-convergent graph (α-CG), a new PG structure that employs a carefully designe…

Weak-anti-localization-to-spin-dependent scattering at a proximity-magnetized heavy metal interface
Hisakazu Matsuki, Guang Yang, Jiahui Xu, Vitaly N. Golovach, Yu He, Jiaxu Li, Alberto Hijano, Niladri Banerjee, Iuliia Alekhina, Nadia Stelmashenko, F. Sebastian Bergeret, Jason W. A. Robinson
https://arxiv.org/abs/2510.10595

Weak-anti-localization-to-spin-dependent scattering at a proximity-magnetized heavy metal interface
A change in a materials electrical resistance with magnetic field (magnetoresistance) results from quantum interference effects and, or spin-dependent transport, depending on materials properties and dimensionality. In disordered conductors, electron interference leads to weak localization or anti-localization; in contrast, ferromagnetic conductors support spin-dependent scattering, leading to giant magnetoresistance (GMR). By varying the thickness of Au between 4 and 28 nm in a EuS/Au/EuS spin…

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…

Role of universal function of the nuclear proximity potential: A systematic study on the alpha-decay of heavy/super-heavy nuclei and {\alpha}-induced reactions
S. Mohammadi, R. Gharaei, S. A. Alavi
https://arxiv.org/abs/2510.02764

Role of universal function of the nuclear proximity potential: A systematic study on the alpha-decay of heavy/super-heavy nuclei and α-induced reactions
The idea of the universal function is fundamental advantage of proximity potential model. We present a systematic study of the role of universal function of the proximity potential model on alpha decay process for 250 ground state to ground state transitions using WKB approximation. In order to realize this goal, five universal functions proposed in the proximity models gp 77, Guo 2013, Ngo 80, Zhang 2013 and Prox. 2010 have been incorporated into the formalism of Prox. 77. The obtained results…

"Let me say this clearly: nobody in this country is safe.
...
But proximity to suspected criminals now means everyone loses their Fourth Amendment rights.
This is collective punishment—the logic of occupation, not policing in a constitutional republic."
https://mastodon.opencloud.l…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Asteroseismic investigation of HD 140283: The Methuselah star
M. S. Lundkvist, J. R. Larsen, Y. Li, M. L. Winther, T. R. Bedding, H. Kjeldsen, T. R. White, M. B. Nielsen, G. Buldgen, C. Guillaume, A. L. Stokholm, D. Huber, J. L. R{\o}rsted, P. Mani, F. Grundahl
https://arxiv.org/abs/2510.11532

Asteroseismic investigation of HD 140283: The Methuselah star
HD 140283 is a well-studied metal-poor subgiant and a Gaia benchmark star, often used for testing stellar models due to its proximity, brightness, and low metallicity ([Fe/H] = -2.3 dex). Here we present the first asteroseismic analysis of HD 140283, providing improved constraints on its fundamental properties. The star was observed by TESS in 20-second cadence during Sector 51. We extracted a custom light curve and performed a frequency analysis, revealing a rich spectrum of solar-like osc…

Proximity-based cities emit less mobility-driven CO$_2$
Francesco Marzolla, Matteo Bruno, Hygor P. M. Melo, Vittorio Loreto
https://arxiv.org/abs/2510.00094 https://

Proximity-based cities emit less mobility-driven CO$_2$
In the quest for more environmentally sustainable urban areas, the concept of the 15-minute city has been proposed to encourage active mobility, primarily through walking and cycling. An urban area is considered a ``15-minute city" if every resident can access essential services within a 15-minute walk or bike ride from their home. However, there is an ongoing debate about the effectiveness of this model in reducing car usage and carbon emissions. In this study, we conduct a large-scale data-dr…

Highly-Linear Proximity-Based Bi-SQUID Operating above 4 K
G. Trupiano, E. Riccardi, C. Puglia, M. Kiczynski, A. Gardin, G. De Simoni, G. C. Tettamanzi, F. Giazotto
https://arxiv.org/abs/2510.02923

Highly-Linear Proximity-Based Bi-SQUID Operating above 4 K
We demonstrate a highly linear superconducting quantum interference device (SQUID) amplifier based on a double-loop (Bi-SQUID) architecture incorporating three superconductor-normal metal-superconductor (S-N-S) junctions. Fabricated using niobium-gold technology, the device exhibits robust operation at liquid helium temperatures, with a superconducting transition temperature of 8.5 K. The flux-to-voltage transfer function demonstrates sharp, symmetric, and highly linear behavior at temperatures…

Repulsive-Interaction-Driven Topological Superconductivity in a Landau Level Coupled to an $s$-Wave Superconductor
Koji Kudo, Ryota Nakai, Hiroki Isobe, J. K. Jain, Kentaro Nomura
https://arxiv.org/abs/2510.04700

Repulsive-Interaction-Driven Topological Superconductivity in a Landau Level Coupled to an $s$-Wave Superconductor
A two-dimensional topologically nontrivial state of noninteracting electrons, such as the surface state of a three-dimensional topological insulator, is predicted to realize a topological superconductor when proximity-coupled to an ordinary $s$-wave superconductor. In contrast, noninteracting electrons partially occupying a Landau level, with Rashba spin-orbit coupling that lifts the spin degeneracy, fail to develop topological superconductivity under similar proximity coupling in the presence …

sp_high_school: High school temporal contacts (2013)
These data sets correspond to the contacts and friendship relations between students in a high school in Marseilles, France, in December 2013, as measured through several techniques.
This network has 329 nodes and 188508 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata

Replaced article(s) found for math.GN. https://arxiv.org/list/math.GN/new
[1/1]:
- Inductive dimensions of coarse proximity spaces
Pawel Grzegrzolka, Jeremy Siegert
https://arxiv.org/abs/1907.09687
toXiv_bot_toot

Selecting Clusters and Protoclusters via Stellar Mass Density: II. Application to HSC-SSP Observations
Marcelo C. Vicentin, Laerte Sodr\'e Jr., Michael A. Strauss, Erik V. R. de Lima, Pablo Araya-Araya
https://arxiv.org/abs/2510.10736

Selecting Clusters and Protoclusters via Stellar Mass Density: II. Application to HSC-SSP Observations
We present a selection of candidates of clusters and protoclusters of galaxies identified in the photometric data of the HSC-SSP Wide Public Data Release 3 (PDR3), spanning the redshift range $\rm 0.1 \leq z \leq 2$. The selection method, detailed in Vicentin et al. (2025), involves detecting massive galaxies located in high-density regions of matter, identified as potential central dominant galaxies, i.e., (proto)BCGs. Probabilistic criteria based on proximity to the candidate central galaxy a…

Cast of critters adds to mystique of PFW campus | Purdue University Fort Wayne 🐘 🐿️ 🦅 https://share.google/T9hABaY9aImTdZOxV

Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks
Patrick Gerard, Luca Luceria, Leonardo Blas, Emilio Ferrara
https://arxiv.org/abs/2510.09464

Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks
Online narratives spread unevenly across platforms, with content emerging on one site often appearing on others, hours, days or weeks later. Existing cross-platform information diffusion models often treat platforms as isolated systems, disregarding cross-platform activity that might make these patterns more predictable. In this work, we frame cross-platform prediction as a network proximity problem: rather than tracking individual users across platforms or relying on brittle signals like share…

Resonance fluorescence in surface plasmon emission in the vicinity of 2D graphene sheet
Ali A. Kamli, Sergey A. Moiseev, Jabir W. Hakami
https://arxiv.org/abs/2510.10562 https:/…

Resonance fluorescence in surface plasmon emission in the vicinity of 2D graphene sheet
The spectral and statistical properties are explored for surface plasmon (SP) emission in resonance fluorescence from a driven two level emitter in the proximity of 2D single graphene sheet. We derive expressions for the emitted SP field and spectrum function that depend on the graphene conductivity and take into account the controllable parameters of the graphene system. We present analysis for the spectrum and second order coherence functions and discuss the possibility of their control using…

DL-PIM: Improving Data Locality in Processing-in-Memory Systems
Parker Hao Tian, Zahra Yousefijamarani, Alaa Alameldeen
https://arxiv.org/abs/2510.07719 https://

DL-PIM: Improving Data Locality in Processing-in-Memory Systems
PIM architectures aim to reduce data transfer costs between processors and memory by integrating processing units within memory layers. Prior PIM architectures have shown potential to improve energy efficiency and performance. However, such advantages rely on data proximity to the processing units performing computations. Data movement overheads can degrade PIM's performance and energy efficiency due to the need to move data between a processing unit and a distant memory location. %they face ch…

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 536 nodes and 3600 edges.
Tags: Social, Offline, Unwei…

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

Magnetic Fields in the Bones of the Milky Way
Ian W. Stephens, Simon Coude, Philip C. Myers, Catherine Zucker, James M. Jackson, B-G Andersson, Rowan Smith, Archana Soam, Patricio Sanhueza, Taylor Hogge, Howard A. Smith, Giles Novak, Sarah Sadavoy, Thushara Pillai, Zhi-Yun Li, Leslie W. Looney, Koji Sugitani, Andres E. Guzman, Alyssa Goodman, Takayoshi Kusune, Miaomiao Zhang, Nicole Karnath, Jessy Marin

Magnetic Fields in the Bones of the Milky Way
Stars primarily form in galactic spiral arms within dense, filamentary molecular clouds. The largest and most elongated of these molecular clouds are referred to as ``bones," which are massive, velocity-coherent filaments (lengths ~20 to >100 pc, widths ~1-2 pc) that run approximately parallel and in close proximity to the Galactic plane. While these bones have been generally well characterized, the importance and structure of their magnetic fields (B-fields) remain largely unconstrained. Throu…

Series B, Episode 11 - Gambit
CHENIE: If I want to be involved ... Now listen. There's a Trantinian planet hopper leaving here in a couple of hours. I think I can get you on it.
DOCHOLLI: Trantinian ship?
https://blake.torpidity.net/m/211/308 B7B4

Latent Class Logit Kernel Framework for Surrogate Safety: Identifying Behavioural Thresholds through Conflict Indicator Profiles
Rulla Al-Haideri, Changhe Liu, Karim Ismail, Bilal Farooq, Chi Zhang
https://arxiv.org/abs/2510.12012

Latent Class Logit Kernel Framework for Surrogate Safety: Identifying Behavioural Thresholds through Conflict Indicator Profiles
Crash data objectively characterize road safety but are rare and often unsuitable for proactive safety management. Traffic conflict indicators such as time-to-collision (TTC) provide continuous measures of collision proximity but require thresholds to distinguish routine from safety-critical interactions. Extreme Value Theory (EVT) offers statistically defined thresholds, yet these do not necessarily represent how drivers perceive and respond to conflict. This study introduces a behavioural mod…

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Challenges and opportunities in proximity-driven exciton-spin engineering in van der Waals heterostructures
Mushir Thodika, Dimitar Pashov, Igor Zutic, Mark van Schilfgaarde, Swagata Acharya
https://arxiv.org/abs/2509.21956

Challenges and opportunities in proximity-driven exciton-spin engineering in van der Waals heterostructures
van der Waals heterostructures consisting of transition metal dichalcogenides (TMDs) and two-dimensional (2D) magnets offer a versatile platform to study the coexistence and transformation of different excitons. By focusing on TMD WSe$_2$ and 2D magnetic CrI$_3$, as a bilayer WSe$_2$/CrI$_3$ and a trilayer CrI$_3$/WSe$_2$/CrI$_3$, we provide their description using a parameter-free, high-fidelity many-body perturbation theory. This ab initio approach allows us to elucidate the character of magn…

Distinct Distances on Pfaffian Curves
Abhiram Natarajan, Adam Sheffer
https://arxiv.org/abs/2510.04337 https://arxiv.org/pdf/2510.04337

Distinct Distances on Pfaffian Curves
We generalize Pach and de Zeeuw's bound for distinct distances between points on two curves, from algebraic curves to Pfaffian curves. Pfaffian curves include those that can be defined by any combination of elementary functions, including exponential and logarithmic functions, rational and irrational powers, trigonometric functions and their inverses, integration, and more. The bound remains $Ω(\min\{m^{3/4}n^{3/4},m^2,n^2\})$, as obtained from the proximity technique of Solymosi and Zahl.

Crosslisted article(s) found for math.FA. https://arxiv.org/list/math.FA/new
[1/1]:
- Best Proximity Points for Geraghty-Type Non-Self Mappings with a Registration-Inspired Alignment ...
Fatemeh Fogh, Sara Behnamian

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Crosslisted article(s) found for nucl-ex. https://arxiv.org/list/nucl-ex/new
[1/1]:
- Role of universal function of the nuclear proximity potential: A systematic study on the alpha-de...
S. Mohammadi, R. Gharaei, S. A. Alavi

🇺🇦 #NowPlaying on #KEXP's #90TEEN
Chitra:
🎵 Close Proximity
#Chitra
https://chitra.bandcamp.com/track/close-proximity
https://open.spotify.com/track/34nCjUuPCn57m76m7QYVYe

Coupling Magnons to an Opto-Electronic Parametric Oscillator
Junming Wu, Shihao Zhou, Benedetta Flebus, Wei Zhang
https://arxiv.org/abs/2510.01435 https://…

Coupling Magnons to an Opto-Electronic Parametric Oscillator
Hybrid magnonic systems have emerged as versatile modular components for quantum signal transduction and sensing applications owing to their capability of connecting distinct quantum platforms. To date, the majority of the magnonic systems have been explored in a local, near-field scheme, due to the close proximity required for realizing a strong coupling between magnons and other excitations. This constraint greatly limits the applicability of magnons in developing remotely-coupled, distribute…

Riccati-ZORO: An efficient algorithm for heuristic online optimization of internal feedback laws in robust and stochastic model predictive control
Florian Messerer, Yunfan Gao, Jonathan Frey, Moritz Diehl
https://arxiv.org/abs/2511.10473 https://arxiv.org/pdf/2511.10473 https://arxiv.org/html/2511.10473
arXiv:2511.10473v1 Announce Type: new
Abstract: We present Riccati-ZORO, an algorithm for tube-based optimal control problems (OCP). Tube OCPs predict a tube of trajectories in order to capture predictive uncertainty. The tube induces a constraint tightening via additional backoff terms. This backoff can significantly affect the performance, and thus implicitly defines a cost of uncertainty. Optimizing the feedback law used to predict the tube can significantly reduce the backoffs, but its online computation is challenging.
Riccati-ZORO jointly optimizes the nominal trajectory and uncertainty tube based on a heuristic uncertainty cost design. The algorithm alternates between two subproblems: (i) a nominal OCP with fixed backoffs, (ii) an unconstrained tube OCP, which optimizes the feedback gains for a fixed nominal trajectory. For the tube optimization, we propose a cost function informed by the proximity of the nominal trajectory to constraints, prioritizing reduction of the corresponding backoffs. These ideas are developed in detail for ellipsoidal tubes under linear state feedback. In this case, the decomposition into the two subproblems yields a substantial reduction of the computational complexity with respect to the state dimension from $\mathcal{O}(n_x^6)$ to $\mathcal{O}(n_x^3)$, i.e., the complexity of a nominal OCP.
We investigate the algorithm in numerical experiments, and provide two open-source implementations: a prototyping version in CasADi and a high-performance implementation integrated into the acados OCP solver.
toXiv_bot_toot

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
Onyedikachi J. Okeke, Uloma E. Nelson, Chukwudi Nwaogu, Olumide O. Oladoyin, Emmanuel Kubuafor, Dennis Baidoo, Titilope Akinyemi, Adedoyin S. Ajeyomi, Rekiya A. Idris, Isaac A. Fabunmi
https://arxiv.org/abs/2510.11048

Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
This study applies Multiscale Geographically Weighted Regression (MGWR) to examine the spatial determinants of household wealth in Bernalillo County, New Mexico. The model incorporates sociodemographic, environmental, and proximity-based variables to evaluate how locational suitability influences economic outcomes. Key factors considered include income, home value, elevation, PM2.5 concentration, and distances to essential services such as schools, markets, and hospitals. The MGWR model demonst…

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Physical partisan proximity outweighs online ties in predicting US voting outcomes
Marco Tonin, Bruno Lepri, Michele Tizzoni

sp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…

Replaced article(s) found for astro-ph.SR. https://arxiv.org/list/astro-ph.SR/new
[1/1]:
- Apsidal motion and proximity effects in the massive binary BD 60 497
Gregor Rauw, Piotr A. Kolaczek-Szymanski, Yael Naze, Lucas Nys

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London
Philyoung Jeong, Ivann Schlosser, Alexei Poliakov, Elsa Arcaute
https://arxiv.org/abs/2510.09296

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London
Healthy and liveable neighbourhoods have increasingly been recognised as essential components of sustainable urban development. Yet, ambiguity surrounding their definition and constituent elements presents challenges in understanding and evaluating neighbourhood profiles, highlighting the need for a more detailed and systematic assessment. This research develops a composite Liveability Index for Greater London based on metrics related to the proximity, density, and diversity of POIs, along with…

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

sp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…

Field-free superconducting diode effect of NbSe2 induced by strain
Jiajun Li, Minhao Zou, Fengyi Guo, Dai Zheng, Yiying Zhang, Yu Du, Fuwei Zhou, Heng Zhang, Wuyi Qi, Tianqi Wang, YeFan Yu, Rui Wang, Fucong Fei, Hao Geng, Fengqi Song
https://arxiv.org/abs/2509.23707

Field-free superconducting diode effect of NbSe2 induced by strain
Superconducting diodes, similar to semiconductor diodes, possess unidirectional superconducting properties and are the fundamental units for constructing superconducting quantum computing, thus attracting widespread attention. At present, most of superconducting diodes require an external magnetic field or proximity effect to break time reversal symmetry (TRS). The cases of intrinsic superconducting diode effect (SDE) under zero magnetic field are relatively scarce, and there are still some puz…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

sp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…

sp_kenyan_households: Kenyan households contacts (2012)
A network of proximity contacts measured between members of 5 households of rural Kenya, between April 24 and May 12, 2012.
This network has 47 nodes and 32643 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata
https://networks.skewed.…

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…

product_space: Atlas of Economic Complexity export network
Two networks of economic products, where a pair of products are connected if they are exported at similar rates by the same countries. The data are a projection from a bipartite network of nations and the products they export. Edges weights represent a similarity score (called "proximity"). Data based on UN Comtrade worldwide trade patterns. SITC network based on the Standard International Trade Classification and HS …

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 800 nodes and 6429 edges.
Tags: Social, Offline, Unwei…