Tootfinder

Peer-replication model aims to address science’s ‘reproducibility crisis’
https://www.nature.com/articles/d41586-024-00796-0

Peer-replication model aims to address science’s ‘reproducibility crisis’
Researchers propose that independent attempts to replicate results should complement conventional peer review.

Quasineutral multistability in an epidemiological-like model for defective-helper betacoronavirus infection in cell cultures
Juan C. Mu\~noz-S\'anchezInstitute for Integrative Systems Biology, Departament de F\'isica Te\`orica, Universitat de Val\`encia, Spain, J. Tom\'as L\'azaroDepartament de Matem\`atiques, Universitat Polit\`ecnica de Catalunya, Dynamical Systems and Computational Virology, CSIC Associated Unit CRM-I2SysBio, Julia HillungInstitute for Integrative Sy…

Quasineutral multistability in an epidemiological-like model for defective-helper betacoronavirus infection in cell cultures
It is well known that, during replication, RNA viruses spontaneously generate defective viral genomes (DVGs). DVGs are unable to complete an infectious cycle autonomously, and depend on coinfection with a helper wild-type virus (HV) for their replication and/or transmission. The study of the dynamics arising from a HV and its DVGs has been a longstanding question in virology. It has been shown that DVGs can modulate HV replication and, depending on the strength of interference, result in HV ext…

Recordings from the Open Research Week 2024 are online
I particularly enjoyed the one on #replication in #history!
#OpenScience #OpenResearch

Microsoft Research developed #Garnet, a remote cache store with good throughput and latency that can work with existing #Redis clients. #linktuesday

GitHub - microsoft/garnet: Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication feat...

🖐️ Replicating Human Anatomy with Vision Controlled Jetting -- A Pneumatic Musculoskeletal Hand and Forearm
#robotics

Replicating Human Anatomy with Vision Controlled Jetting -- A Pneumatic Musculoskeletal Hand and Forearm
The functional replication and actuation of complex structures inspired by nature is a longstanding goal for humanity. Creating such complex structures combining soft and rigid features and actuating them with artificial muscles would further our understanding of natural kinematic structures. We printed a biomimetic hand in a single print process comprised of a rigid skeleton, soft joint capsules, tendons, and printed touch sensors. We showed it's actuation using electric motors. In this work, …

An improvement of degree-based hashing (DBH) graph partition method, using a novel metric
Anna Mastikhina, Oleg Senkevich, Dmitry Sirotkin, Danila Demin, Stanislav Moiseev
https://arxiv.org/abs/2404.07624

An improvement of degree-based hashing (DBH) graph partition method, using a novel metric
This paper examines the graph partition problem and introduces a new metric, MSIDS (maximal sum of inner degrees squared). We establish its connection to the replication factor (RF) optimization, which has been the main focus of theoretical work in this field. Additionally, we propose a new partition algorithm, DBH-X, based on the DBH partitioner. We demonstrate that DBH-X significantly improves both the RF and MSIDS, compared to the baseline DBH algorithm. In addition, we provide test results …

Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication
Yejin Jeon, Gary Geunbae Lee
https://arxiv.org/abs/2403.04111 https://

Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication
This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. Towards this end, we introduce a multi-level attention aggregation approach that systematically probes and amplifies various speaker-specific attributes in a hierarchical manner. Through rigorous evaluations across a wide range of scenarios including seen and unseen speakers conversing in seen and unseen lingua, we esta…

Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study
Lukasz Lacinski, Lee Liming, Steven Turoscy, Cameron Harr, Kyle Chard, Eli Dart, Paul Durack, Sasha Ames, Forrest M. Hoffman, Ian T. Foster
https://arxiv.org/abs/2404.19717

Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study
We report on our experiences replicating 7.3 petabytes (PB) of Earth System Grid Federation (ESGF) climate simulation data from Lawrence Livermore National Laboratory (LLNL) in California to Argonne National Laboratory (ANL) in Illinois and Oak Ridge National Laboratory (ORNL) in Tennessee. This movement of some 29 million files, twice, undertaken in order to establish new ESGF nodes at ANL and ORNL, was performed largely automatically by a simple replication tool, a script that invoked Globus …

Looks like another #redis alternative dropped lol, and this time from Micro$oft
https://github.com/microsoft/garnet

This https://arxiv.org/abs/2311.14228 has been replaced.
link: https://scholar.google.com/scholar?q=a

Formulations to select assets for constructing sparse index tracking portfolios
In this paper, we study asset selection methods to construct a sparse index tracking portfolio. For its advantage over full replication portfolio, the concept of sparse index tracking portfolio has significant attention in the field of finance and investment management. We propose useful formulations to select assets for sparse index tracking portfolio. Our formulations are described as combinatorial optimization problems, and they can yield various asset selection methods, including some exist…

Double-stranded RNA activated caspase oligomerizer ( #DRACO ) technology, is an approach to ♦️selectively killing cells in which viral replication is taking place. ♦️
DRACO offered the promise of being broadly and rapidly effective for 🔸ending infection by many different viruses, and doing so with little adaptation of the core technology from virus to virus,🔸 a big improvement over the present state of…

This drug could be a game-changer for the human race
There are thousands of viruses in our world. But only about 220 are known to infect humans. Most people don’t understand how viruses work. They are not living things. They are very tiny packages of organic chemistry that get into an animal cell and...

Precision nutrition to reset virus-induced human metabolic reprogramming and dysregulation (HMRD) in long-COVID - npj Science of Food
“SARS‐CoV‐2, the etiological agent of COVID-19, is devoid of any metabolic capacity; therefore, it is critical for the viral pathogen to hijack host cellular metabolic machinery for its replication and propagation. “

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono, Stefano Russo, Paolo Tonella
https://arxiv.org/abs/2403.13729

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
In a recent study, Reinforcement Learning (RL) used in combination with many-objective search, has been shown to outperform alternative techniques (random search and many-objective search) for online testing of Deep Neural Network-enabled systems. The empirical evaluation of these techniques was conducted on a state-of-the-art Autonomous Driving System (ADS). This work is a replication and extension of that empirical study. Our replication shows that RL does not outperform pure random test gene…

This just out-of-the-presses paper by Uljana Feest seems relevant to the stuff we've been discussing about context and ontology in cognitive neuroscience and psychology, and the Juarrero book (although it doesn't seem to engage with it).
https://philpapers.org/rec/FEEWIT-2
<…

Uljana Feest, What is the Replication Crisis a Crisis of? - PhilPapers
In recent debates about the replication crisis, two positions have been dominant: one that focuses on methodological reforms and one that focuses on theory building. This paper takes up the suggestion ...

Series C, Episode 07 - Children of Auron
AVON: From those projectiles of hers?
FRANTON: Simply because of what's in there. The replication plant. Come on.
https://blake.torpidity.net/s/307/491 📺 B7B3

Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations
C. Kr\"amer, J. A. Koziol, A. Langheld, M. H\"ormann, K. P. Schmidt
https://arxiv.org/abs/2403.05223

Quantum-critical properties of the one- and two-dimensional random transverse-field Ising model from large-scale quantum Monte Carlo simulations
We study the ferromagnetic transverse-field Ising model with quenched disorder at $T = 0$ in one and two dimensions by means of stochastic series expansion quantum Monte Carlo simulations using a rigorous zero-temperature scheme. Using a sample-replication method and averaged Binder ratios, we determine the critical shift and width exponents $ν_\mathrm{s}$ and $ν_\mathrm{w}$ as well as unbiased critical points by finite-size scaling. Further, scaling of the disorder-averaged magnetisation at …

Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers
Sayantan Kumara, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip Payne, Aristeidis Sotiras
https://arxiv.org/abs/2404.05748

Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers
Alzheimer Disease (AD) is a multi-faceted disorder, with each modality providing unique and complementary info about AD. In this study, we used a deep-learning based multimodal normative model to assess the heterogeneity in regional brain patterns for ATN (amyloid-tau-neurodegeneration) biomarkers. We selected discovery (n = 665) and replication (n = 430) cohorts with simultaneous availability of ATN biomarkers: Florbetapir amyloid, Flortaucipir tau and T1-weighted MRI (magnetic resonance imagi…

This https://arxiv.org/abs/2311.00653 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Integrating measures of replicability into scholarly search: Challenges and opportunities
Challenges to reproducibility and replicability have gained widespread attention, driven by large replication projects with lukewarm success rates. A nascent work has emerged developing algorithms to estimate the replicability of published findings. The current study explores ways in which AI-enabled signals of confidence in research might be integrated into the literature search. We interview 17 PhD researchers about their current processes for literature search and ask them to provide feedbac…

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono, Stefano Russo, Paolo Tonella
https://arxiv.org/abs/2403.13729

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
In a recent study, Reinforcement Learning (RL) used in combination with many-objective search, has been shown to outperform alternative techniques (random search and many-objective search) for online testing of Deep Neural Network-enabled systems. The empirical evaluation of these techniques was conducted on a state-of-the-art Autonomous Driving System (ADS). This work is a replication and extension of that empirical study. Our replication shows that RL does not outperform pure random test gene…

This just out-of-the-presses paper by Uljana Feest seems relevant to the stuff we've been discussing about context and ontology in cognitive neuroscience and psychology, and the Juarrero book (although it doesn't seem to engage with it).
https://philpapers.org/rec/FEEWIT-2
<…

Uljana Feest, What is the Replication Crisis a Crisis of? - PhilPapers
In recent debates about the replication crisis, two positions have been dominant: one that focuses on methodological reforms and one that focuses on theory building. This paper takes up the suggestion ...

Cost-Driven Data Replication with Predictions
Tianyu Zuo, Xueyan Tang, Bu Sung Lee
https://arxiv.org/abs/2404.16489 https://arxiv.org…

Cost-Driven Data Replication with Predictions
This paper studies an online replication problem for distributed data access. The goal is to dynamically create and delete data copies in a multi-server system as time passes to minimize the total storage and network cost of serving access requests. We study the problem in the emergent learning-augmented setting, assuming simple binary predictions about inter-request times at individual servers. We develop an online algorithm and prove that it is ($\frac{5+α}{3}$)-consistent (competitiveness u…

This https://arxiv.org/abs/2312.14435 has been replaced.
initial toot: https://mastoxiv.page/@…

Thermodynamic and Stoichiometric Laws Ruling the Fates of Growing Systems
We delve into growing open chemical reaction systems (CRSs) characterized by autocatalytic reactions within a variable volume, which changes in response to these reactions. Understanding the thermodynamics of such systems is crucial for comprehending biological cells and constructing protocells, as it sheds light on the physical conditions necessary for their self-replication. Building on our recent work, where we developed a thermodynamic theory for growing CRSs featuring basic autocatalytic m…

Comparing basic statistical concepts with diagnostic probabilities based on directly observed proportions to help understand the replication crisis
Huw Llewelyn
https://arxiv.org/abs/2403.16906

Comparing basic statistical concepts with diagnostic probabilities based on directly observed proportions to help understand the replication crisis
Instead of regarding an observed proportion as a sample from a population with an unknown parameter, diagnosticians intuitively use the observed proportion as a direct estimate of the posterior probability of a diagnosis. Therefore, a diagnostician might also regard a continuous Gaussian probability distribution of an outcome conditional on a study selection criterion to represents posterior probabilities. Fitting a distribution to its mean and standard deviation (SD) can be regarded as pooling…

Formally Verifying the Safety of Pipelined Moonshot Consensus Protocol
M. Praveen, Raghavendra Ramesh, Isaac Doidge
https://arxiv.org/abs/2403.16637 https:…

Formally Verifying the Safety of Pipelined Moonshot Consensus Protocol
Decentralized Finance (DeFi) has emerged as a contemporary competitive as well as complementary to traditional centralized finance systems. As of 23rd January 2024, per Defillama approximately USD 55 billion is the total value locked on the DeFi applications on all blockchains put together. A Byzantine Fault Tolerant (BFT) State Machine Replication (SMR) protocol, popularly known as the consensus protocol, is the central component of a blockchain. If forks are possible in a consensus protocol…

This https://arxiv.org/abs/2403.00331 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

WindGP: Efficient Graph Partitioning on Heterogenous Machines
Graph Partitioning is widely used in many real-world applications such as fraud detection and social network analysis, in order to enable the distributed graph computing on large graphs. However, existing works fail to balance the computation cost and communication cost on machines with different power (including computing capability, network bandwidth and memory size), as they only consider replication factor and neglect the difference of machines in realistic data centers. In this paper, we p…

The Interaction Fidelity Model: A Taxonomy to Distinguish the Aspects of Fidelity in Virtual Reality
Michael Bonfert, Thomas Muender, Ryan P. McMahan, Frank Steinicke, Doug Bowman, Rainer Malaka, Tanja D\"oring
https://arxiv.org/abs/2402.16665

The Interaction Fidelity Model: A Taxonomy to Distinguish the Aspects of Fidelity in Virtual Reality
Fidelity describes how closely a replication resembles the original. It can be helpful to analyze how faithful interactions in virtual reality (VR) are to a reference interaction. In prior research, fidelity has been restricted to the simulation of reality - also called realism. Our definition includes other reference interactions, such as superpowers or fiction. Interaction fidelity is a multilayered concept. Unfortunately, different aspects of fidelity have either not been distinguished in sc…

This https://arxiv.org/abs/2403.04111 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication
This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. Towards this end, we introduce a multi-level attention aggregation approach that systematically probes and amplifies various speaker-specific attributes in a hierarchical manner. Through rigorous evaluations across a wide range of scenarios including seen and unseen speakers conversing in seen and unseen lingua, we esta…

This https://arxiv.org/abs/2310.01566 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact
Millions of developers share their code on open-source platforms like GitHub, which offer social coding opportunities such as distributed collaboration and popularity-based ranking. Software engineering researchers have joined in as well, hosting their research artifacts (tools, replication package & datasets) in repositories, an action often marked as part of the publications contribution. Yet a decade after the first such paper-with-GitHub-link, little is known about the fate of such reposito…

Cost-Driven Data Replication with Predictions
Tianyu Zuo, Xueyan Tang, Bu Sung Lee
https://arxiv.org/abs/2404.16489 https://arxiv.org…

Cost-Driven Data Replication with Predictions
This paper studies an online replication problem for distributed data access. The goal is to dynamically create and delete data copies in a multi-server system as time passes to minimize the total storage and network cost of serving access requests. We study the problem in the emergent learning-augmented setting, assuming simple binary predictions about inter-request times at individual servers. We develop an online algorithm and prove that it is ($\frac{5+α}{3}$)-consistent (competitiveness u…

A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators
Jianzhuang ZhaoHuman-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genoa, Italy, Dept. of Electronics, Information, and Bioengineering, Politecnico di Milano, Italy, Francesco TassiHuman-Robot Interfaces and Interaction Lab, Istituto Italiano di Tecnologia, Genoa, Italy, Yanlong HuangSchool of Computing, University of Leeds, Leeds, UK, Ele…

A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators
Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies can lead to the development of more sophisticated robots capable of performing complex whole-body tasks in real-world environments. To this end, this paper proposes a combined learning and optimization framework for transferring human's loco-manipulation soft-switching skills to mobile manipulators. The methodology dep…

This https://arxiv.org/abs/2305.09004 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Smoothing in linear multicompartment biological processes subject to stochastic input
Many physical and biological systems rely on the progression of material through multiple independent stages. In viral replication, for example, virions enter a cell to undergo a complex process comprising several disparate stages before the eventual accumulation and release of replicated virions. While such systems may have some control over the internal dynamics that make up this progression, a challenge for many is to regulate behaviour under what are often highly variable external environme…

A new simplified MOPSO based on Swarm Elitism and Swarm Memory: MO-ETPSO
Ricardo Fitas
https://arxiv.org/abs/2402.12856 https://arxiv.org/pdf/2402.12856
arXiv:2402.12856v1 Announce Type: new
Abstract: This paper presents an algorithm based on Particle Swarm Optimization (PSO), adapted for multi-objective optimization problems: the Elitist PSO (MO-ETPSO). The proposed algorithm integrates core strategies from the well-established NSGA-II approach, such as the Crowding Distance Algorithm, while leveraging the advantages of Swarm Intelligence in terms of individual and social cognition. A novel aspect of the algorithm is the introduction of a swarm memory and swarm elitism, which may turn the adoption of NSGA-II strategies in PSO. These features enhance the algorithm's ability to retain and utilize high-quality solutions throughout optimization. Furthermore, all operators within the algorithm are intentionally designed for simplicity, ensuring ease of replication and implementation in various settings. Preliminary comparisons with the NSGA-II algorithm for the Green Vehicle Routing Problem, both in terms of solutions found and convergence, have yielded promising results in favor of MO-ETPSO.

Formally Verifying the Safety of Pipelined Moonshot Consensus Protocol
M. Praveen, Raghavendra Ramesh, Isaac Doidge
https://arxiv.org/abs/2403.16637 https:…

Formally Verifying the Safety of Pipelined Moonshot Consensus Protocol
Decentralized Finance (DeFi) has emerged as a contemporary competitive as well as complementary to traditional centralized finance systems. As of 23rd January 2024, per Defillama approximately USD 55 billion is the total value locked on the DeFi applications on all blockchains put together. A Byzantine Fault Tolerant (BFT) State Machine Replication (SMR) protocol, popularly known as the consensus protocol, is the central component of a blockchain. If forks are possible in a consensus protocol…

This https://arxiv.org/abs/2304.10265 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Replication in Requirements Engineering: the NLP for RE Case
[Context]} Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Despite its empirical vocation, RE research has given limited attention to replication of NLP for RE studies. Replication is hampered by several factors, including the context specificity of the studies, the heterogeneity of the tasks involving NLP, the tasks' inherent hairiness, and, in turn, the heterogeneo…

WindGP: Efficient Graph Partitioning on Heterogenous Machines
Li Zeng, Haohan Huang, Binfan Zheng, Kang Yang, Shengcheng Shao, Jinhua Zhou, Jun Xie, Rongqian Zhao, Xin Chen
https://arxiv.org/abs/2403.00331

WindGP: Efficient Graph Partitioning on Heterogenous Machines
Graph Partitioning is widely used in many real-world applications such as fraud detection and social network analysis, in order to enable the distributed graph computing on large graphs. However, existing works fail to balance the computation cost and communication cost on machines with different power (including computing capability, network bandwidth and memory size), as they only consider replication factor and neglect the difference of machines in realistic data centers. In this paper, we p…

Reflections on the denialism of the Earth's curvature based on the general public participation in the collective reproduction of Eratosthenes' experiment
Karen Luz Burgoa Rosso, Jos\'e Alberto Casto Nogales Vera, Ana Eliza Ferreira Alvim Silva
https://arxiv.org/abs/2404.12202

Reflections on the denialism of the Earth's curvature based on the general public participation in the collective reproduction of Eratosthenes' experiment
In this paper, we propose the replication of scientific experiments, with the participation of the general public, as one of the possible strategies to confront science deniers. Using the social media of the Federal University of Lavras (UFLA), the project entitled : The Magic of Physics and the Universe, invited the public to reproduce the experiment carried out by the Greek Eratosthenes over 2,100 years ago, which he proved that the Earth is spherical. We present a report of this experience t…

Redundancy Transmission in UAV-Aided LoRa Networks Featuring Wake-Up Radios
Kushwanth Sistu, Siddhartha S. Borkotoky
https://arxiv.org/abs/2403.09782 https…

Redundancy Transmission in UAV-Aided LoRa Networks Featuring Wake-Up Radios
We consider a LoRa sensor network featuring a UAV-mounted gateway for collecting sensor data (messages). Wake-up radios (WuR) are employed to inform the sensors of the UAV's arrival. Building on an existing random access scheme for such setups, we propose and evaluate two redundancy transmission protocols for enhancing the reliability of the data transfer. One protocol employs fountain-coded transmissions, whereas the other performs message replication. Our results illustrate how redundancy tra…

This https://arxiv.org/abs/2106.10362 has been replaced.
link: https://scholar.google.com/scholar?q=a

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback
Existing committee-based Byzantine state machine replication (SMR) protocols, typically deployed in production blockchains, face a clear trade-off: (1) they either achieve linear communication cost in the happy path, but sacrifice liveness during periods of asynchrony, or (2) they are robust (progress with probability one) but pay quadratic communication cost. We believe this trade-off is unwarranted since existing linear protocols still have asymptotic quadratic cost in the worst case. We desi…

Plasma activated PDMS microstructured pattern with collagen for improved myoblast cell guidance
Nikola Slepickova Kasalkovova, Veronika Juricova, Dominik Fajstavr, Bara Frydlova, Silvie Rimpelova, Vaclav Svorcik, Petr Slepicka
https://arxiv.org/abs/2402.16931

Plasma activated PDMS microstructured pattern with collagen for improved myoblast cell guidance
We focused on polydimethylsiloxane (PDMS) as a substrate for replication, micropatterning, and construction of biologically active surfaces. The novelty of this study is based on the combina-tion of argon plasma exposure of micropatterned PDMS scaffold, where the plasma served as a strong tool for subsequent grafting of collagen coating and their application as cell growth scaf-folds, where the standard has been significantly exceeded. As part of scaffold design, templates with a patterned micr…

Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups
Zack While, Tanja Blascheck, Yujie Gong, Petra Isenberg, Ali Sarvghad
https://arxiv.org/abs/2403.12343

Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups
We present results of a replication study on smartwatch visualizations with adults aged 65 and older. The older adult population is rising globally, coinciding with their increasing interest in using small wearable devices, such as smartwatches, to track and view data. Smartwatches, however, pose challenges to this population: fonts and visualizations are often small and meant to be seen at a glance. How concise design on smartwatches interacts with aging-related changes in perception and cogni…

This https://arxiv.org/abs/2206.11117 has been replaced.
link: https://scholar.google.com/scholar?q=a

Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias
Longitudinal cohort studies, which follow a group of individuals over time, provide the opportunity to examine causal effects of complex exposures on long-term health outcomes. Utilizing data from multiple cohorts has the potential to add further benefit by improving precision of estimates through data pooling and by allowing examination of effect heterogeneity through replication of analyses across cohorts. However, the interpretation of findings can be complicated by biases that may be compou…

This https://arxiv.org/abs/2401.04217 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Force Propagation in Active Cytoskeletal Networks
In biological systems, molecular-scale forces and motions are pivotal for enabling processes like motility, shape change, and replication. These forces and motions are organized, amplified, and transmitted across macroscopic scales by active materials such as the cytoskeleton, which drives micron-scale cellular movement and re-organization. Despite the integral role of active materials, understanding how molecular-scale interactions alter macroscopic structure and force propagation remains elus…

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Elodie Germani (EMPENN, LACODAM), Nikhil Baghwat, Mathieu Dugr\'e, R\'emi Gau, Albert Montillo, Kevin Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard
https://ar…

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology. In clinical practice, challenges are encountered in the diagnosis of early stages and in the prediction of the disease progression due to the absence of established biomarkers. Several biomarkers obtained using neuroimaging techniques such as functional Magnetic Resonance Imaging (fMRI) have been studied recently. However, the reliability and generalizability of neuroimaging-based measureme…

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
Nicolas Baumann, Edoardo Ghignone, Jonas K\"uhne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kr\"anzlin, Tian Yi Lim, Michael L\"otscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
https…

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
Autonomous racing in robotics combines high-speed dynamics with the necessity for reliability and real-time decision-making. While such racing pushes software and hardware to their limits, many existing full-system solutions necessitate complex, custom hardware and software, and usually focus on Time-Trials rather than full unrestricted Head-to-Head racing, due to financial and safety constraints. This limits their reproducibility, making advancements and replication feasible mostly for well-re…

A new simplified MOPSO based on Swarm Elitism and Swarm Memory: MO-ETPSO
Ricardo Fitas
https://arxiv.org/abs/2402.12856 https://arxiv.org/pdf/2402.12856
arXiv:2402.12856v1 Announce Type: new
Abstract: This paper presents an algorithm based on Particle Swarm Optimization (PSO), adapted for multi-objective optimization problems: the Elitist PSO (MO-ETPSO). The proposed algorithm integrates core strategies from the well-established NSGA-II approach, such as the Crowding Distance Algorithm, while leveraging the advantages of Swarm Intelligence in terms of individual and social cognition. A novel aspect of the algorithm is the introduction of a swarm memory and swarm elitism, which may turn the adoption of NSGA-II strategies in PSO. These features enhance the algorithm's ability to retain and utilize high-quality solutions throughout optimization. Furthermore, all operators within the algorithm are intentionally designed for simplicity, ensuring ease of replication and implementation in various settings. Preliminary comparisons with the NSGA-II algorithm for the Green Vehicle Routing Problem, both in terms of solutions found and convergence, have yielded promising results in favor of MO-ETPSO.

Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP
Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bn\`a, Nicholas Malaya
https://arxiv.org/abs/2405.00436

Porting HPC Applications to AMD Instinct$^\text{TM}$ MI300A Using Unified Memory and OpenMP
AMD Instinct$^\text{TM}$ MI300A is the world's first data center accelerated processing unit (APU) with memory shared between the AMD "Zen 4" EPYC$^\text{TM}$ cores and third generation CDNA$^\text{TM}$ compute units. A single memory space offers several advantages: i) it eliminates the need for data replication and costly data transfers, ii) it substantially simplifies application development and allows an incremental acceleration of applications, iii) is easy to maintain, and iv) its potentia…

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Elodie Germani (EMPENN, LACODAM), Nikhil Baghwat, Mathieu Dugr\'e, R\'emi Gau, Albert Montillo, Kevin Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard
https://ar…

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology. In clinical practice, challenges are encountered in the diagnosis of early stages and in the prediction of the disease progression due to the absence of established biomarkers. Several biomarkers obtained using neuroimaging techniques such as functional Magnetic Resonance Imaging (fMRI) have been studied recently. However, the reliability and generalizability of neuroimaging-based measureme…

Methods to Estimate Cryptic Sequence Complexity
Matthew Andres Moreno
https://arxiv.org/abs/2404.10854 https://arxiv.org/pdf/2404.108…

Methods to Estimate Cryptic Sequence Complexity
Complexity is a signature quality of interest in artificial life systems. Alongside other dimensions of assessment, it is common to quantify genome sites that contribute to fitness as a complexity measure. However, limitations to the sensitivity of fitness assays in models with implicit replication criteria involving rich biotic interactions introduce the possibility of difficult-to-detect ``cryptic'' adaptive sites, which contribute small fitness effects below the threshold of individual detec…

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
Nicolas Baumann, Edoardo Ghignone, Jonas K\"uhne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kr\"anzlin, Tian Yi Lim, Michael L\"otscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno
https…

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
Autonomous racing in robotics combines high-speed dynamics with the necessity for reliability and real-time decision-making. While such racing pushes software and hardware to their limits, many existing full-system solutions necessitate complex, custom hardware and software, and usually focus on Time-Trials rather than full unrestricted Head-to-Head racing, due to financial and safety constraints. This limits their reproducibility, making advancements and replication feasible mostly for well-re…

This https://arxiv.org/abs/2404.01741 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
We formulate intrusion tolerance for a system with service replicas as a two-level optimal control problem. On the local level node controllers perform intrusion recovery, and on the global level a system controller manages the replication factor. The local and global control problems can be formulated as classical problems in operations research, namely, the machine replacement problem and the inventory replenishment problem. Based on this formulation, we design TOLERANCE, a novel control arch…

A Survey of Music Generation in the Context of Interaction
Ismael Agchar, Ilja Baumann, Franziska Braun, Paula Andrea Perez-Toro, Korbinian Riedhammer, Sebastian Trump, Martin Ullrich
https://arxiv.org/abs/2402.15294

A Survey of Music Generation in the Context of Interaction
In recent years, machine learning, and in particular generative adversarial neural networks (GANs) and attention-based neural networks (transformers), have been successfully used to compose and generate music, both melodies and polyphonic pieces. Current research focuses foremost on style replication (eg. generating a Bach-style chorale) or style transfer (eg. classical to jazz) based on large amounts of recorded or transcribed music, which in turn also allows for fairly straight-forward "perfo…

A Communication- and Memory-Aware Model for Load Balancing Tasks
Jonathan Lifflander, Philippe P. Pebay, Nicole L. Slattengren, Pierre L. Pebay, Robert A. Pfeiffer, Joseph D. Kotulski, Sean T. McGovern
https://arxiv.org/abs/2404.16793

A Communication- and Memory-Aware Model for Load Balancing Tasks
While load balancing in distributed-memory computing has been well-studied, we present an innovative approach to this problem: a unified, reduced-order model that combines three key components to describe "work" in a distributed system: computation, communication, and memory. Our model enables an optimizer to explore complex tradeoffs in task placement, such as increased parallelism at the expense of data replication, which increases memory usage. We propose a fully distributed, heuristic-based…

This https://arxiv.org/abs/2401.04217 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Force Propagation in Active Cytoskeletal Networks
In biological systems, molecular-scale forces and motions are pivotal for enabling processes like motility, shape change, and replication. These forces and motions are organized, amplified, and transmitted across macroscopic scales by active materials such as the cytoskeleton, which drives micron-scale cellular movement and re-organization. Despite the integral role of active materials, understanding how molecular-scale interactions alter macroscopic structure and force propagation remains elus…

This https://arxiv.org/abs/2404.01741 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
We formulate intrusion tolerance for a system with service replicas as a two-level optimal control problem. On the local level node controllers perform intrusion recovery, and on the global level a system controller manages the replication factor. The local and global control problems can be formulated as classical problems in operations research, namely, the machine replacement problem and the inventory replenishment problem. Based on this formulation, we design TOLERANCE, a novel control arch…

Proximal Byzantine Consensus
Roy Shadmon, Daniel Spencer, Owen Arden
https://arxiv.org/abs/2402.12577 https://arxiv.org/pdf/2402.1257…

Proximal Byzantine Consensus
Distributed control systems require high reliability and availability guarantees despite often being deployed at the edge of network infrastructure. Edge computing resources are less secure and less reliable than centralized resources in data centers. Replication and consensus protocols improve robustness to network faults and crashed or corrupted nodes, but these volatile environments can cause non-faulty nodes to temporarily diverge, increasing the time needed for replicas to converge on a co…

This https://arxiv.org/abs/2311.08091 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Lumiere: Making Optimal BFT for Partial Synchrony Practical
The view synchronization problem lies at the heart of many Byzantine Fault Tolerant (BFT) State Machine Replication (SMR) protocols in the partial synchrony model, since these protocols are usually based on views. Liveness is guaranteed if honest processors spend a sufficiently long time in the same view during periods of synchrony, and if the leader of the view is honest. Ensuring that these conditions occur, known as Byzantine View Synchronization (BVS), has turned out to be the performance b…