Tootfinder

Filipino workers in Taiwan's chip industry report struggling with overwork and discrimination, citing overnight shifts of up to 16 hours and abusive treatment (Rest of World)
https://restofworld.org/2025/filipino-workers-taiwan-chip-industry/

Workers describe abusive treatment in Taiwan’s semiconductor factories
A record number of people are leaving the Philippines to work in Taiwanese factories, where they face long shifts, low pay, and unequal treatment.

Sensor Tower: Temu's US DAUs fell 52% in May compared to March, while Shein's dropped 25%, amid the US' China tariffs and the closure of "de minimis" loophole (Karen Gilchrist/CNBC)
https://www.cnbc.com/2025/06/05/shein-temu

Shein and Temu see U.S. demand plunge on 'de minimis' trade loophole closure
Low-cost e-commerce giants Temu and Shein have slowed significantly in the U.S. amid tariffs and the closure of the de minimis loophole, new data shows.

Distributed system perspective on Backscatter systems
Jincheng Guan, Jun Zhang
https://arxiv.org/abs/2506.04833 https://arxiv.org/pdf…

Distributed system perspective on Backscatter systems
Backscatter system is a system based on backscatter communication technology, which is a low cost, low power consumption and easy to deploy communication technology. At present, the backscatter technology is mainly applied to RFID tags and the Internet of Things and other fields. With the rapid development of the Internet of Things, the application of backscatter systems is increasing. Moreover, the backscatter system is essentially a distributed system, but existing research rarely conducts st…

⚗️ Breakthrough Technology Extracts Hydrogen from Natural Gas Wells
https://oilprice.com/Energy/Energy-General/Breakthrough-Technology-Extracts-Hydrogen-from-Natural-Gas-Wells.html

Breakthrough Technology Extracts Hydrogen from Natural Gas Wells
Scientists have discovered a new method to extract low-emissions hydrogen from natural gas fields while trapping carbon underground, potentially revolutionizing the hydrogen industry and global decarbonization efforts.

Development and Testing of a Low Cost Ultrasonic Leak Detector
Senol Gulgonul
https://arxiv.org/abs/2506.04862 https://arxiv.org/pdf/…

Development and Testing of a Low Cost Ultrasonic Leak Detector
This study focuses on the development of an ultrasonic leak detection system utilizing the Arduino Nano 33 BLE Sense Rev2 board. The research aimed to create a compact and cost-effective solution for identifying leaks in high-pressure pipes. Algorithms were designed to enable lossless recording and processing of sound data captured by the onboard MEMS microphone. Key signal processing techniques, including the implementation of an IIR high-pass filter and RMS calculation, were employed to detec…

Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey
B. Kubik, R. Barbier, P. Calabria, A. Castera, E. Chabanat, F. Charlieu, J-C. Clemens, A. Ealet, S. Ferriol, W. Gillard, T. Maciaszek, E. Prieto, F. Schirra, A. Secroun, B. Serra, G. Smadja, A. Tilquin, J. Zoubianb
https://arxiv.org/ab…

Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey
Euclid mission is designed to understand the dark sector of the universe. Precise redshift measurements are provided by H2RG detectors. We propose an unbiased method of fitting the flux with Poisson distributed and correlated data, which has an analytic solution and provides a reliable quality factor - fundamental features to ensure the goals of the mission. We compare our method to other techniques of signal estimation and illustrate the anomaly detection on the flight like detectors. Although…

This https://arxiv.org/abs/2506.03074 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for Generalized Low-Rank Trace Regression
We present `GL-LowPopArt`, a novel Catoni-style estimator for generalized low-rank trace regression. Building on `LowPopArt` (Jang et al., 2024), it employs a two-stage approach: nuclear norm regularization followed by matrix Catoni estimation. We establish state-of-the-art estimation error bounds, surpassing existing guarantees (Fan et al., 2019; Kang et al., 2022), and reveal a novel experimental design objective, $\mathrm{GL}(π)$. The key technical challenge is controlling bias from the non…

Buried unstrained Ge channels: a lattice-matched platform for quantum technology
Davide Costa, Karina Hudson, Patrick Del Vecchio, Lucas E. A. Stehouwer, Alberto Tosato, Davide Degli Esposti, Mario Lodari, Stefano Bosco, Giordano Scappucci
https://arxiv.org/abs/2506.04724

Buried unstrained Ge channels: a lattice-matched platform for quantum technology
Ge and Si strained quantum wells have enabled the most advanced spin-qubit quantum processors, but they are deposited on defective, metamorphic SiGe substrates, which may impact device performance and scaling. Here we introduce an alternative platform, based on a heterojunction between unstrained Ge and a strained SiGe barrier, which is lattice-matched to a Ge substrate. In a structure with a 52-nm-thick strained SiGe barrier, we demonstrate a low-disorder two-dimensional hole gas with a high-m…

A Survey of Deep Learning Video Super-Resolution
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter Eklund, Sunil Aryal
https://arxiv.org/abs/2506.03216 https://

A Survey of Deep Learning Video Super-Resolution
Video super-resolution (VSR) is a prominent research topic in low-level computer vision, where deep learning technologies have played a significant role. The rapid progress in deep learning and its applications in VSR has led to a proliferation of tools and techniques in the literature. However, the usage of these methods is often not adequately explained, and decisions are primarily driven by quantitative improvements. Given the significance of VSR's potential influence across multiple domains…

This https://arxiv.org/abs/2504.20618 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Statistical Channel Based Low-Complexity Rotation and Position Optimization for 6D Movable Antennas Enabled Wireless Communication
Six-dimensional movable antenna (6DMA) is a promising technology to fully exploit spatial variation in wireless channels by allowing flexible adjustment of three-dimensional (3D) positions and rotations of antennas at the transceiver. In this paper, we investigate the practical low-complexity design of 6DMA-enabled communication systems, including transmission protocol, statistical channel information (SCI) acquisition, and joint position and rotation optimization of 6DMA surfaces based on the …