Tootfinder

Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports
Nico Krull, Lukas Schulthess, Michele Magno, Luca Benini, Christoph Leitner
https://arxiv.org/abs/2509.06541

Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports
Biomechanical data acquisition in sports demands sub-millisecond synchronization across distributed body-worn sensor nodes. This study evaluates and characterizes the Enhanced ShockBurst (ESB) protocol from Nordic Semiconductor under controlled laboratory conditions for wireless, low-latency command broadcasting, enabling fast event updates in multi-node systems. Through systematic profiling of protocol parameters, including cyclic-redundancy-check modes, bitrate, transmission modes, and payloa…

Integrating Weather and Land Cover Data into Geospatial Impact Evaluations
Elinor Benami, Mike Cecil, Anna Josephson, Gina Maskell, Jeffrey D. Michler
https://arxiv.org/abs/2510.05108

Integrating Weather and Land Cover Data into Geospatial Impact Evaluations
Integrating gridded weather and earth observation data into impact evaluations holds great promise. It allows researchers to capture environmental context, external shocks, and even to measure outcomes (e.g., land cover change, agricultural production) that surveys might miss due to spatial or temporal data collection constraints. However, with great power comes great responsibility: the increasing ease of extracting time series from these datasets belies potentially complex geospatial and meas…

On Aug. 1, shortly after the Bureau of Labor Statistics released a surprisingly weak employment report,
the conservative economist E.J. Antoni joined Steve Bannon’s influential “War Room” podcast.
“Have we put in our own person into B.L.S.?” Mr. Bannon asked Dr. Antoni.
“Is a MAGA Republican, that President Trump knows and trusts, are they running the Bureau of Labor Statistics yet?”
“No, unfortunately, Steve, we still haven’t gotten there,” Dr. Antoni replied,
go…

Trump’s Pick of E.J. Antoni as BLS Leader Criticized by the Right and the Left
Economists on the left and right criticized E.J. Antoni for misunderstanding the data he would now oversee.

EU Data Act: Ab heute müssen smarte Geräte wie SmartTV offenlegen, welche Daten sie sammeln. Ihr habt das Recht, Auskunft einzufordern und Löschung zu verlangen – kostenlos, binnen 1 Monat. Hersteller, die mauern, handeln rechtswidrig. Jörg Schieb: Transparenz ist nur der Anfang. Jetzt liegt es an uns, diese Rechte auch einzufordern. #EUDataAct

A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
Tadeu Freitas, Carlos Novo, In\^es Dutra, Jo\~ao Soares, Manuel Correia, Benham Shariati, Rolando Martins
https://arxiv.org/abs/2508.13364

A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
Intrusion Tolerant Systems (ITSs) have become increasingly critical due to the rise of multi-domain adversaries exploiting diverse attack surfaces. ITS architectures aim to tolerate intrusions, ensuring system compromise is prevented or mitigated even with adversary presence. Existing ITS solutions often employ Risk Managers leveraging public security intelligence to adjust system defenses dynamically against emerging threats. However, these approaches rely heavily on databases like NVD and Exp…

Machine Learning Workflow for Analysis of High-Dimensional Order Parameter Space: A Case Study of Polymer Crystallization from Molecular Dynamics Simulations
Elyar Tourani, Brian J. Edwards, Bamin Khomami
https://arxiv.org/abs/2507.17980

Machine Learning Workflow for Analysis of High-Dimensional Order Parameter Space: A Case Study of Polymer Crystallization from Molecular Dynamics Simulations
Currently, identification of crystallization pathways in polymers is being carried out using molecular simulation-based data on a preset cut-off point on a single order parameter (OP) to define nucleated or crystallized regions. Aside from sensitivity to cut-off, each of these OPs introduces its own systematic biases. In this study, an integrated machine learning workflow is presented to accurately quantify crystallinity in polymeric systems using atomistic molecular dynamics data. Each atom is…