Tootfinder

A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management
Reza Javan, Mehrzad Mohammadi, Mohammad Beheshti-Atashgah, Mohammad Reza Aref
https://arxiv.org/abs/2402.17342

A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management
In recent years, the healthcare sector's shift to online platforms has spotlighted challenges concerning data security, privacy, and scalability. Blockchain technology, known for its decentralized, secure, and immutable nature, emerges as a viable solution for these pressing issues. This article presents an innovative Electronic Health Records (EHR) sharing and drug supply chain management framework tailored to address scalability, security, data integrity, traceability, and secure data sharing…

Whoop I got accepted to #pifcamp ! Looking forward to it including working with @… and @… on some e-textile sensor sound stuff

Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC
Bo Lin, Chuanbin Zhao, Feifei Gao, Geoffrey Ye Li
https://arxiv.org/abs/2403.17810

Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC
Integrated sensing and communications (ISAC) has been deemed as a key technology for the sixth generation (6G) wireless communications systems. In this paper, we explore the inherent clustered nature of wireless users and design a multi-user based environment reconstruction scheme. Specifically, we first select users based on the estimation precision of channel's multipath, including the line-of-sight (LOS) and the non-line-of-sight (NLOS) paths, to enhance the accuracy of environment reconstru…

Application of the NIST AI Risk Management Framework to Surveillance Technology
Nandhini Swaminathan, David Danks
https://arxiv.org/abs/2403.15646 https://…

Application of the NIST AI Risk Management Framework to Surveillance Technology
This study offers an in-depth analysis of the application and implications of the National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) within the domain of surveillance technologies, particularly facial recognition technology. Given the inherently high-risk and consequential nature of facial recognition systems, our research emphasizes the critical need for a structured approach to risk management in this sector. The paper presents a detailed case study de…

3D printing of hierarchical structures made of inorganic silicon-rich glass featuring self-forming nanogratings
Po-Han Huang (Division of Micro and Nanosystems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden), Shiqian Chen (Division of Electronics and Embedded Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Kista, Sweden), Oliver Hartwig (Institute of Physics, EIT 2, Faculty …

3D printing of hierarchical structures made of inorganic silicon-rich glass featuring self-forming nanogratings
Hierarchical structures are abundant in nature, such as in the superhydrophobic surfaces of lotus leaves and the structural coloration of butterfly wings. They consist of ordered features across multiple size scales, and their unique properties have attracted enormous interest in wide-ranging fields, including energy storage, nanofluidics, and nanophotonics. Femtosecond lasers, capable of inducing various material modifications, have shown promise for manufacturing tailored hierarchical structu…

“[Sam] Altman [CEO OpenAI] warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope.”
Source: https://www.nature.com/articles/d41586-024-00478-x

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

That was fuckin *fast*. We're told universal healthcare is a 200-year project due to the impossible nature of mobilizing congress in a concerted direction, and yet...
https://www.theguardian.com/technology/2024/apr/…

Interesting article from Kate Crawford for #nature on energy use by #GenAI: https://www.nature.com/articles/d41586-024

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Understanding the genetic mechanism fueling SARS-CoV-2's ability to generate variants can go a long way in keeping COVID at bay.
In this study published in Nature Microbiology, researchers at Baylor College of Medicine and collaborating institutions developed a new technology called
tARC-seq that revealed a genetic mechanism affecting SARS-CoV-2 divergence
and enabled the team to calculate SARS-CoV-2's mutation rate.
Using tARC-seq, the researchers also capt…

Study discovers hidden mechanism behind rapid COVID variants
The SARS-CoV-2 virus that causes COVID has the unsettling ability of often generating variants of itself. Other viruses also mutate, but as SARS-CoV-2 quickly spread throughout the entire human population during the pandemic, killing millions, the virus' dynamic evolution posed a serious problem: it repeatedly challenged our bodies' immune response fighting the virus and hindered the process of getting updated vaccines ready.

HBF MU-MIMO with Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks
Aleksandar Ichkov, Alexander Wietfeld, Marina Petrova, Ljiljana Simi\'c
https://arxiv.org/abs/2402.17573

HBF MU-MIMO with Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks
Hybrid beamforming (HBF) multi-user multiple-input multiple-output (MU-MIMO) is a key technology for unlocking the directional millimeter-wave (mm-wave) nature for spatial multiplexing beyond current codebook-based 5G-NR networks. In order to suppress co-scheduled users' interference, HBF MU-MIMO is predicated on having sufficient radio frequency chains and accurate channel state information (CSI), which can otherwise lead to performance losses due to imperfect interference cancellation. In thi…

Good point:
"The industry could prioritize using less energy, build more efficient models and rethink how it designs and uses data centres. As the BigScience project in France demonstrated with its BLOOM model, it is possible to build a model of a similar size to OpenAI’s GPT-3 with a much lower carbon footprint. But that’s not what’s happening in the industry at large."

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Some misinformation here, but at least people are starting to think about this issue. https://www.nature.com/articles/d41586-024-00478-x

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Large Anomalous Hall Effect at Room Temperature in a Fermi-Level-Tuned Kagome Antiferromagnet
Linxuan Song, Feng Zhou, Hang Li, Bei Ding, Xue Li, Xuekui Xi, Yuan Yao, Yong-Chang Lau, Wenhong Wang
https://arxiv.org/abs/2402.16521

Large Anomalous Hall Effect at Room Temperature in a Fermi-Level-Tuned Kagome Antiferromagnet
The recent discoveries of surperisingly large anomalous Hall effect in chiral antiderromagnets have triggered extensive research efforts in various fields, ranging from topological condensed-matter physics to antiferromagnetic spintronics, and energy harvesting technology. However, such AHE-hosting antiferromagnetic materials are rare in nature. Herein, we demonstrate that Mn2.4Ga, a Fermi-level-tuned kagome antiferromagnet, has a large anomalous Hall conductivity of about 150 Ω-1cm-1 at room …

Good point:
"The industry could prioritize using less energy, build more efficient models and rethink how it designs and uses data centres. As the BigScience project in France demonstrated with its BLOOM model, it is possible to build a model of a similar size to OpenAI’s GPT-3 with a much lower carbon footprint. But that’s not what’s happening in the industry at large."

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

This https://arxiv.org/abs/2404.14246 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Chain of trust: Unraveling the references among Common Criteria certified products
With 5394 security certificates of IT products and systems, the Common Criteria for Information Technology Security Evaluation have bred an ecosystem entangled with various kind of relations between the certified products. Yet, the prevalence and nature of dependencies among Common Criteria certified products remains largely unexplored. This study devises a novel method for building the graph of references among the Common Criteria certified products, determining the different contexts of refer…

💡 Wearable and interactive multicolored photochromic fiber display
#technology

Wearable and interactive multicolored photochromic fiber display - Light: Science & Applications
We develop a wearable and interactive multicolored photochromic fiber using the thermal drawing technique, which overcomes the dependence on external light sources and the non-uniform light emission observed in polymer optical and photochromic fibers.

Some misinformation here, but at least people are starting to think about this issue. https://www.nature.com/articles/d41586-024-00478-x

Generative AI’s environmental costs are soaring — and mostly secret
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Dynamics of systems with varying number of particles: from Liouville equations to general master equations for open systems
Mauricio J. del Razo, Luigi Delle Site
https://arxiv.org/abs/2403.14517

Dynamics of systems with varying number of particles: from Liouville equations to general master equations for open systems
A varying number of particles is the most relevant characteristic of systems of interest in nature and technology; ranging from the exchange of energy and matter with the surrounding environment to the change of particle numbers through internal dynamics such as reactions. The physico-mathematical modeling of these systems is extremely challenging, with the major difficulty being the time dependence of the number of degrees of freedom and the additional constraint that the increment or reductio…

Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
Kinga Skorupska, Rafa{\l} Stryjek, Izabela Wierzbowska, Piotr Bebas, Maciej Grzeszczuk, Piotr Gago, Jaros{\l}aw Kowalski, Maciej Krzywicki, Jagoda Lazarek, Wies{\l}aw Kope\'c
https://arxiv.or…

Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
Technology is increasingly used in Nature Reserves and National Parks around the world to support conservation efforts. Endangered species, such as the Eurasian Lynx (Lynx lynx), are monitored by a network of automatic photo traps. Yet, this method produces vast amounts of data, which needs to be prepared, analyzed and interpreted. Therefore, researchers working in this area increasingly need support to process this incoming information. One opportunity is to seek support from volunteer Citizen…

🎮 Millions of gamers advance biomedical research by helping to reconstruct microbial evolutionary histories
https://phys.org/news/2024-04-millions-gamers-advance-biomedical-reconstruct.html

Millions of gamers advance biomedical research by helping to reconstruct microbial evolutionary histories
Leveraging gamers and video game technology can dramatically boost scientific research, according to a new study published today in Nature Biotechnology.

This https://arxiv.org/abs/2212.08129 has been replaced.
link: https://scholar.google.com/scholar?q=a

Micro-arcsecond Astrometry Technology: Detector and Field Distortion Calibration
Microarcsecond (uas) astrometry is an indispensable technique to detect earth-like exoplanets, fully characterize exoplanetary orbits, and measure their masses --information critical for assessing their habitability. Highly accurate astrometric measurements can also probe the nature of dark matter, the early universe, black holes, and neutron stars, thus providing unique data for new astrophysics. This paper presents technologies of calibrating detectors and field distortions for achieving narr…

An historical overview of the influence of technology on mathematical competitions
Bela Bajnok
https://arxiv.org/abs/2404.07118 https://

An historical overview of the influence of technology on mathematical competitions
We provide an historical overview of how advances in technology influenced high school and university mathematical competitions in the United States and at the International Mathematical Olympiad. While students are not allowed the usage of technological aids during mathematical competitions, the developments in technology (especially graphing technology) throughout the past century and the increasing employment of such aids in the classroom have affected both the nature of the proposed problem…

Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
Kostas Kryptos Chalkias, Angelos Kostis, Ali Alnuaimi, Peter Knez, John Naulty, Allen Salmasi, Ryan Servatius, Rodrigo Veloso
https://arxiv.org/abs/2404.12086

Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
In the contemporary era, biodiversity conservation emerges as a paramount challenge, necessitating innovative approaches to monitoring, preserving, and enhancing the natural world. This paper explores the integration of blockchain technology in biodiversity conservation, offering a novel perspective on how digital resilience can be built within ecological contexts. Blockchain, with its decentralized and immutable ledger and tokenization affordances, presents a groundbreaking solution for the ac…

This https://arxiv.org/abs/2311.09465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A new stabilized time-spectral finite element solver for fast simulation of blood flow
The increasing application of cardiorespiratory simulations for diagnosis and surgical planning necessitates the development of computational methods significantly faster than the current technology. To achieve this objective, we leverage the time-periodic nature of these flows by discretizing equations in the frequency domain instead of the time domain. This approach markedly reduces the size of the discrete problem and, consequently, the simulation cost. With this motivation, we introduce a f…

NIST and Web3 Security – A Developing Perspective
 
The National Institute for Standards and Technology just released an initial draft of “A Security Perspective on the Web3 Paradigm” as document IR 8475. It is not long and it is a great take on how NIST is thinking about Web3 security. Here is the link:
 
#Web3 #NIST #Security #InfoSec #BlockChain #IPFS
 

This https://arxiv.org/abs/2310.12729 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Advancements in Radar Odometry
Radar odometry estimation has emerged as a critical technique in the field of autonomous navigation, providing robust and reliable motion estimation under various environmental conditions. Despite its potential, the complex nature of radar signals and the inherent challenges associated with processing these signals have limited the widespread adoption of this technology. This paper aims to address these challenges by proposing novel improvements to an existing method for radar odometry estimati…

Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
Kostas Kryptos Chalkias, Angelos Kostis, Ali Alnuaimi, Peter Knez, John Naulty, Allen Salmasi, Ryan Servatius, Rodrigo Veloso
https://arxiv.org/abs/2404.12086

Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
In the contemporary era, biodiversity conservation emerges as a paramount challenge, necessitating innovative approaches to monitoring, preserving, and enhancing the natural world. This paper explores the integration of blockchain technology in biodiversity conservation, offering a novel perspective on how digital resilience can be built within ecological contexts. Blockchain, with its decentralized and immutable ledger and tokenization affordances, presents a groundbreaking solution for the ac…

Molecular dynamics simulation with finite electric fields using Perturbed Neural Network Potentials
Kit Joll, Philipp Schienbein, Kevin M. Rosso, Jochen Blumberger
https://arxiv.org/abs/2403.12319

Molecular dynamics simulation with finite electric fields using Perturbed Neural Network Potentials
The interaction of condensed phase systems with external electric fields is crucial in myriad processes in nature and technology ranging from the field-directed motion of cells (galvanotaxis), to energy storage and conversion systems including supercapacitors, batteries and solar cells. Molecular simulation in the presence of electric fields would give important atomistic insight into these processes but applications of the most accurate methods such as ab-initio molecular dynamics are limited …

Secure Semantic Communication for Image Transmission in the Presence of Eavesdroppers
Shunpu Tang, Chen Liu, Qianqian Yang, Shibo He, Dusit Niyato
https://arxiv.org/abs/2404.12170

Secure Semantic Communication for Image Transmission in the Presence of Eavesdroppers
Semantic communication (SemCom) has emerged as a key technology for the forthcoming sixth-generation (6G) network, attributed to its enhanced communication efficiency and robustness against channel noise. However, the open nature of wireless channels renders them vulnerable to eavesdropping, posing a serious threat to privacy. To address this issue, we propose a novel secure semantic communication (SemCom) approach for image transmission, which integrates steganography technology to conceal pri…

NIST and Web3 Security – A Developing Perspective
 
The National Institute for Standards and Technology just released an initial draft of “A Security Perspective on the Web3 Paradigm” as document IR 8475. It is not long and it is a great take on how NIST is thinking about Web3 security. Here is the link:
 
#Web3 #NIST #Security #InfoSec #BlockChain #IPFS
 

This https://arxiv.org/abs/2310.12729 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Advancements in Radar Odometry
Radar odometry estimation has emerged as a critical technique in the field of autonomous navigation, providing robust and reliable motion estimation under various environmental conditions. Despite its potential, the complex nature of radar signals and the inherent challenges associated with processing these signals have limited the widespread adoption of this technology. This paper aims to address these challenges by proposing novel improvements to an existing method for radar odometry estimati…

Characterization of individual charge fluctuators in Si/SiGe quantum dots
Feiyang Ye, Ammar Ellaboudy, Dylan Albrecht, Rohith Vudatha, N. Tobias Jacobson, John M. Nichol
https://arXiv.org/abs/2401.14541

Characterization of individual charge fluctuators in Si/SiGe quantum dots
Electron spins in silicon quantum dots are excellent qubits due to their long coherence times, scalability, and compatibility with advanced semiconductor technology. Although high gate fidelities can be achieved with spin qubits, charge noise in the semiconductor environment still hinders further improvements. Despite the importance of charge noise, key questions about the specific nature of the fluctuators that cause charge noise remain unanswered. Here, we probe individual two-level fluctuato…

Multidimensional deconvolution with shared bases
Daria Sushnikova, Matteo Ravasi, David Keyes
https://arxiv.org/abs/2404.01870 https://

Multidimensional deconvolution with shared bases
We address the estimation of seismic wavefields by means of Multidimensional Deconvolution (MDD) for various redatuming applications. While offering more accuracy than conventional correlation-based redatuming methods, MDD faces challenges due to the ill-posed nature of the underlying inverse problem and the requirement to handle large, dense, complex-valued matrices. These obstacles have long limited the adoption of MDD in the geophysical community. Recent interest in this technology has spurr…