Tootfinder

Poverty Rate in India Drops Below 5% First Time Ever as Rural-Urban Divide Shrinks https://www.goodnewsnetwork.org/poverty-rate-in-india-drops-below-5-first-time-ever-as-rural-urban-divide-shrinks/

Poverty Rate in India Drops Below 5% First Time Ever as Rural-Urban Divide Shrinks
While India contains several of the world's largest cities, there are still 1.8 rural Indians for every 1 urbanite.

The Binary Black Hole Merger Rate Deviates From the Cosmic Star Formation Rate: A Tug of War Between Metallicity and Delay Times
Adam Boesky, Floor S. Broekgaarden, Edo Berger
https://arxiv.org/abs/2405.01623

The Binary Black Hole Merger Rate Deviates From the Cosmic Star Formation Rate: A Tug of War Between Metallicity and Delay Times
Gravitational-wave detectors are now making it possible to investigate how the merger rate of binary black holes (BBHs) evolves with redshift. In this study, we examine whether the BBH merger rate of isolated binaries deviates from a scaled star formation rate density (SFRD) -- a frequently used model in state-of-the-art research. To address this question, we conduct population synthesis simulations using COMPAS with a grid of stellar evolution models, calculate their cosmological merger rates,…

It continues to lie that I haven't set the alias even after deleting from user_profile, and apparently there is some sort of rate-limit I've hit and dunno how to clear too.
:(
Presumably nobody here knows how to clear that cache or check if the alias is right or reset that rate-limit.
So I guess I'll have to wait at least 1 day 20 minutes before I can even try again.

In case you are thinking humanity is getting CO2 #emissions under control, I have this graph for you.
This is not the absolute CO2 level in the atmosphere, but its growth rate. Think for a second what this growth rate would have to be so we can stay below 1.5 or 2deg warning.
Right, this growth rate would have to be negative: fewer emissions this year than last year.
Of course, …

“I have invented a random number generator that companies put into everything. Banks might use it to generate your account balance. Doctors might use it to choose prescription strengths. My random number generator is inevitable. Society will have to navigate it.”

Sam Altman Answers The Burning Questions About AI: Bias, Privacy, Etc.
Responding, Altman criticized the construct of having people rate their doomsday predictions from one to 100.

Global sea level rise is now happening at double the speed of 20 years ago.
#ClimatechangeisWaterchange #ClimateChange #sealevelrise
Via @…

Anybody know the typical flow rate (in SCCM or similar volume flow units) and discharge pressure for duster gas cans?
Looking at replacing my current HFO-1234ze cans with N2 for most applications for cost/environmental reasons but trying to figure out how much I'll actually go through and what size regulator I should get (the one I currently have on my N2 tank is meant for very low volume inerting and tops out at 30psi which is likely too low).

Not exactly encouraging news.
While suicides, homicides, cars have significant impacts on the disparity, diseases of poverty play a role as well: " Native American children died from pneumonia and the flu at three times the rate of white children, for example, and Black children died from asthma at almost eight times the rate of white children."
It's shameful

Widening Racial Disparities Underlie Rise in Child Deaths in the U.S.
New research finds that the death rate among Black youths soared by 37 percent, and among Native American youths by 22 percent, between 2014 and 2020, compared with less than 5 percent for white youths.

Microlensing optical depth and event rate toward the Large Magellanic Cloud based on 20 years of OGLE observations
P. Mroz, A. Udalski, M. K. Szymanski, M. Kapusta, I. Soszynski, L. Wyrzykowski, P. Pietrukowicz, S. Kozlowski, R. Poleski, J. Skowron, D. Skowron, K. Ulaczyk, M. Gromadzki, K. Rybicki, P. Iwanek, M. Wrona, M. Ratajczak
https://arxiv.org/abs/2403.02398 https://arxiv.org/pdf/2403.02398
arXiv:2403.02398v1 Announce Type: new
Abstract: Measurements of the microlensing optical depth and event rate toward the Large Magellanic Cloud (LMC) can be used to probe the distribution and mass function of compact objects in the direction toward that galaxy - in the Milky Way disk, Milky Way dark matter halo, and the LMC itself. The previous measurements, based on small statistical samples of events, found that the optical depth is an order of magnitude smaller than that expected from the entire dark matter halo in the form of compact objects. However, these previous studies were not sensitive to long-duration events with Einstein timescales longer than 2.5-3 years, which are expected from massive ($10-100\,M_{\odot}$) and intermediate-mass ($10^2-10^5\,M_{\odot}$) black holes. Such events would have been missed by the previous studies and would not have been taken into account in calculations of the optical depth. Here, we present the analysis of nearly 20-year-long photometric monitoring of 78.7 million stars in the LMC by the Optical Gravitational Lensing Experiment (OGLE) from 2001 through 2020. We describe the observing setup, the construction of the 20-year OGLE dataset, the methods used for searching for microlensing events in the light curve data, and the calculation of the event detection efficiency. In total, we find 16 microlensing events (thirteen using an automated pipeline and three with manual searches), all of which have timescales shorter than 1 yr. We use a sample of thirteen events to measure the microlensing optical depth toward the LMC $\tau=(0.121 \pm 0.037)\times 10^{-7}$ and the event rate $\Gamma=(0.74 \pm 0.25)\times 10^{-7}\,\mathrm{yr}^{-1}\,\mathrm{star}^{-1}$. These numbers are consistent with lensing by stars in the Milky Way disk and the LMC itself, and demonstrate that massive and intermediate-mass black holes cannot comprise a significant fraction of dark matter.

Biden hails milestone as 303,000 new jobs in March beat forecast https://www.theguardian.com/business/2024/apr/05/us-march-jobs-report?CMP=Share_iOSApp_Other

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horvath, Martin Takac, Eduard Gorbunov
https://arxiv.org/abs/2403.02648

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Adaptive methods are extremely popular in machine learning as they make learning rate tuning less expensive. This paper introduces a novel optimization algorithm named KATE, which presents a scale-invariant adaptation of the well-known AdaGrad algorithm. We prove the scale-invariance of KATE for the case of Generalized Linear Models. Moreover, for general smooth non-convex problems, we establish a convergence rate of $O \left(\frac{\log T}{\sqrt{T}} \right)$ for KATE, matching the best-known on…

Multi-rate Runge-Kutta methods: stability analysis and applications
Bernhard Bachmann, Luca Bonaventura, Francesco Casella, Soledad Fern\'andez-Garc\'ia, Macarena G\'omez-M\'armol
https://arxiv.org/abs/2405.02139

Multi-rate Runge-Kutta methods: stability analysis and applications
We present an approach for the efficient implementation of self-adjusting multi-rate Runge-Kutta methods and we extend the previously available stability analyses of these methods to the case of an arbitrary number of sub-steps for the active components. We propose a physically motivated model problem that can be used to assess the stability of different multi-rate versions of standard Runge-Kutta methods and the impact of different interpolation methods for the latent variables. Finally, we pr…

"Butterfly study finds sharpest fall on record for small tortoiseshell in England"
#UK #UnitedKingdom #Butterflies

Three Project Management Tips and a De-Implementation Process #tceajmg

I was late renewing my site cert for Lets' Encrypt and I am now inexplicably getting a rate limit warning when trying to renew.
I was late, I never tried to renew, so I am really confused by the error.
#letsencrypt #ssl

Quits rate past 23 years.
One explanation for big layoffs? Quits are down. But when you look: they're down compared to 2022, they're not down compared to 5 years ago.
Another explanation? Generative #AI is expensive and companies are laying people off to free up cash to spend on that.
Chart:

Quits: Total Nonfarm
Graph and download economic data for Quits: Total Nonfarm (JTSQUR) from Dec 2000 to Dec 2023 about quits, nonfarm, and USA.

This https://arxiv.org/abs/2309.15919 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Efficient Computation of the Quantum Rate-Distortion Function
The quantum rate-distortion function plays a fundamental role in quantum information theory, however there is currently no practical algorithm which can efficiently compute this function to high accuracy for moderate channel dimensions. In this paper, we show how symmetry reduction can significantly simplify common instances of the entanglement-assisted quantum rate-distortion problems. This allows us to better understand the properties of the quantum channels which obtain the optimal rate-dist…

This take on solar power is correct. And the same reasoning applies to batteries, which if anything are dropping in price even faster than PVs (it’s a less mature industry). https://caseyhandmer.wordpress.com/2023/10/11/radical-energy-abundance/

Radical Energy Abundance
Originally published at Roots of Progress, based on this thread. Everyone knows the industrial revolution occurred centuries ago and involved steam engines. That was just the warm up. We are now a …

Tidal plans to combine its HiFi and HiFi Plus plans into a single $10.99/month "Tidal" plan, below HiFi Plus' $19.99/month; students will still pay $4.99/month (Chris Welch/The Verge)
https://www.theverge.com/2024/3/5/24091308/t…

Tidal’s subscription is getting simpler and cheaper — yes, you read that right
Starting in April, Tidal will combine its HiFi and HiFi Plus plans into a new single music subscription that includes high-res audio and Dolby Atmos at the lower $10.99 rate.

Russia: Soldiers Convicted of Over 100 Murders When They Returned Home
https://www.businessinsider.com/russia-soldiers-committed-over-100-murders-when-returned-home-report-2024-5

Russia: Soldiers convicted of over 100 murders when they returned home
The high homicide rate in 2023 by Russian soldiers is related to mental health issues and thousands of former convicts-soldiers, said the UK MoD.

#Playgrounds
Via Super 70s Sports 🤖 @…
“Hey, boss, I’ve got an idea for a new piece of playground equipment.”
“Let’s hear it.”
“Kids grab a chain and hold on for dear life while spinning at a high rate of speed.”

Interesting synopsis of how #netflix algorithms rate your shows by #completionrates from @… (who is being a tad quiet here in the #Fediverse camp)
https://www.tumblr.com/teledyn/749684887413456896/its-a-good-thing-they-did-because-neils-reply-is?source=share

This https://arxiv.org/abs/2404.01876 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

A nonperturbative test of nucleation calculations for strong phase transitions
Nucleation rate computations are of broad importance in particle physics and cosmology. Perturbative calculations are often used to compute the nucleation rate $Γ$, but these are incomplete. We perform nonperturbative lattice simulations of nucleation in a scalar field theory with a tree-level barrier, computing a final result extrapolated to the thermodynamic and continuum limits. Although the system in question should be well-described by a complete one-loop perturbative calculation, we find…

The Coroner Called Them Overdoses. What Really Happened?
BC lags far behind other provinces in its autopsy rate for suspected drug deaths. A Tyee special report.
https://thetyee.ca/News/2024/03/04/Cor

The Coroner Called Them Overdoses. What Really Happened? | The Tyee
BC lags far behind other provinces in its autopsy rate for suspected drug deaths. A Tyee special report.

This https://arxiv.org/abs/2212.01411 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Multivariate Rate of Convergence for Selberg's Central Limit Theorem
In this paper we quantify the rate of convergence in Selberg's central limit theorem for $\log|ζ(1/2+it)|$ based on the method of proof given by Radziwill and Soundararajan. We achieve the same rate of convergence of $(\log\log\log T)^2/\sqrt{\log\log T}$ as Selberg in the Kolmogorov distance by using the Dudley distance instead. We also prove the theorem for the multivariate case given by Bourgade with the same rate of convergence as in the single variable case.

Comparative Efficacy of Commercial Wearables for Circadian Rhythm Home Monitoring from Activity, Heart Rate, and Core Body Temperature
Fan Wu, Patrick Langer, Jinjoo Shim, Elgar Fleisch, Filipe Barata
https://arxiv.org/abs/2404.03408

Comparative Efficacy of Commercial Wearables for Circadian Rhythm Home Monitoring from Activity, Heart Rate, and Core Body Temperature
Circadian rhythms govern biological patterns that follow a 24-hour cycle. Dysfunctions in circadian rhythms can contribute to various health problems, such as sleep disorders. Current circadian rhythm assessment methods, often invasive or subjective, limit circadian rhythm monitoring to laboratories. Hence, this study aims to investigate scalable consumer-centric wearables for circadian rhythm monitoring outside traditional laboratories. In a two-week longitudinal study conducted in real-world …

I wish more ppl understood what a "good cop, bad cop" routine is. The "good cop" isn't good, it's just a role they play, working together with the "bad cop" to increase their success rate at exploiting a captive. Democrats have been role playing the good cop for many years, very successfully.
https://…

Investigating the Cosmological Rate of Compact Object Mergers from Isolated Massive Binary Stars
Adam Boesky, Floor S. Broekgaarden, Edo Berger
https://arxiv.org/abs/2405.01630

Investigating the Cosmological Rate of Compact Object Mergers from Isolated Massive Binary Stars
Gravitational wave detectors are observing compact object mergers from increasingly far distances, revealing the redshift evolution of the binary black hole (BBH) -- and soon the black hole-neutron star (BHNS) and binary neutron star (BNS) -- merger rate. To help interpret these observations, we investigate the expected redshift evolution of the compact object merger rate from the isolated binary evolution channel. We present a publicly available catalog of compact object mergers and their acco…

✊ Mass layoffs hit auto industry as job cuts mount, profits surge
#automotive

Mass layoffs hit auto industry as job cuts mount, profits surge
The stepped-up attack on jobs takes place as newly released government data showed profits rose $133.5 billion in the fourth quarter of 2023 for an annualized rate of $3.4 trillion, the highest ever.

Just discovered that at some point since 2018 (when I stopped checking) the interest rate on my student loan jumped from 1.5% to 6.25%.

This https://arxiv.org/abs/2402.05141 has been replaced.
link: https://scholar.google.com/scholar?q=a

Tensor Completion via Integer Optimization
The main challenge with the tensor completion problem is a fundamental tension between computation power and the information-theoretic sample complexity rate. Past approaches either achieve the information-theoretic rate but lack practical algorithms to compute the corresponding solution, or have polynomial-time algorithms that require an exponentially-larger number of samples for low estimation error. This paper develops a novel tensor completion algorithm that resolves this tension by achievi…

Notes from the March 2024 Employment Report
Payroll Employment: 303,000
vs. 214,000 expected and 270,000 in February
Unemployment Rate: 3.8%
vs. 3.8% expected and 3.5% one year ago
Average Hourly Earnings, month-over-month: 0.3%
vs. 0.3% expected and 0.2% in February
Average hourly earnings, year-over-year: 4.1%
vs. 4.1% expected and 4.6% one year ago

“I have invented a random number generator that companies put into everything. Banks might use it to generate your account balance. Doctors might use it to choose prescription strengths. My random number generator is inevitable. Society will have to navigate it.”

Sam Altman Answers The Burning Questions About AI: Bias, Privacy, Etc.
Responding, Altman criticized the construct of having people rate their doomsday predictions from one to 100.

"Verbraucher können sich freuen: Wie das Statistische Bundesamt mitteilte, sinkt die Inflationsrate weiter. Im März befand sie sich nur noch bei 2,2 Prozent."
wenn ich keynes richtig verstanden habe ist jetzt der perfekte zeitpunkt sich mit nudeln und klopapier einzudecken
https://www.

Inclusive $\bar{B}\to X_s \ell^ \ell^-$ at the LHC: theory predictions and new-physics reach
Tobias Huber, Tobias Hurth, Jack Jenkins, Enrico Lunghi, Qin Qin, K. Keri Vos
https://arxiv.org/abs/2404.03517

Inclusive $\bar{B}\to X_s \ell^+\ell^-$ at the LHC: theory predictions and new-physics reach
We present theoretical predictions for observables in inclusive $\bar{B}\to X_s \ell^+\ell^-$ suitable for measurements at hadron colliders through a sum-over-exclusive approach. At low $q^2$ we calculate the branching ratio and three angular observables. At high $q^2$ we provide the branching ratio and the ratio of the $\bar B \to X_s \ell^+\ell^-$ rate with respect to the inclusive $\bar B \to X_u \ell \barν$ rate with the same phase-space cut. We compare our predictions to an extraction of …

Distributed and Rate-Adaptive Feature Compression
Aditya Deshmukh, Venugopal V. Veeravalli, Gunjan Verma
https://arxiv.org/abs/2404.02179 https://

Distributed and Rate-Adaptive Feature Compression
We study the problem of distributed and rate-adaptive feature compression for linear regression. A set of distributed sensors collect disjoint features of regressor data. A fusion center is assumed to contain a pretrained linear regression model, trained on a dataset of the entire uncompressed data. At inference time, the sensors compress their observations and send them to the fusion center through communication-constrained channels, whose rates can change with time. Our goal is to design a fe…

It's not just that the level of CO2 in the atmosphere is increasing, but that it is increasing at a faster rate than ever before. Methane and NO2 levels have also increased. We are not going to defeat this problem; it's going to defeat us. It will moot everything else that bundles our undies, and we stand slack-jawed in awe watching our cities wash away and remaining forests turn into yet more CO2.

Impact of COVID-19 on Exchange rate volatility of Bangladesh: Evidence through GARCH model
Rizwanul Karim
https://arxiv.org/abs/2403.02560 https://<…

Impact of COVID-19 on Exchange rate volatility of Bangladesh: Evidence through GARCH model
This study uses the GARCH (1,1) model to examine the impact of COVID-19 cases (log value) on the volatility of the Exchange rate return of Bangladeshi taka (BDT) over the US dollar (USD), Japanese Yen (JPY), and Swedish Krona (SEK). The result shows that an increase in the number of COVID-19-affected cases in Bangladesh has a significant and positive impact on the volatility of exchange rates BDT/USD, BDT/JPY, and BDT/SEK.

This https://arxiv.org/abs/2402.11425 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Online Local False Discovery Rate Control: A Resource Allocation Approach
We consider the problem of online local false discovery rate (FDR) control where multiple tests are conducted sequentially, with the goal of maximizing the total expected number of discoveries. We formulate the problem as an online resource allocation problem with accept/reject decisions, which from a high level can be viewed as an online knapsack problem, with the additional uncertainty of exogenous random budget replenishment. We start with general arrival distributions and propose a simple p…

Sydney Morning Herald: Trouble brews in Australia's craft beer industry, with 'alarming rate' of closures

Trouble brews in Australia’s craft beer industry, with ‘alarming rate’ of closures
More than a dozen independent breweries have been pushed to the brink of insolvency in the past 12 months.

#Inflation in #Nigeria
Q1 '23 vs Q1 '24
https://www.sbmintel.com/2024/04/the-price

The price of everything
Nigeria has been grappling with a significant rise in inflation in recent months, with the annual inflation rate reaching 31.7% in February 2024, the highest level since 1996. Prices of essential c…

libimseti: Libimseti.cz social network (2012)
A network of ratings given between users at Libimseti.cz, a Czech online dating website. A directed edge (i,j) means that user i rate user j, and the corresponding edge weight is the given rating, on a scale of 1-10.
This network has 220970 nodes and 17359346 edges.
Tags: Social, Online, Weighted

It you set your goals right before you achieve them it can help increase your success rate.

Interested in implementing API rate limiting?
Check out this guide that provides a look at implementing your own naive sliding window rate limiter, as well as using the tower-governor crate to provide production grade rate limiting for your API!
https://www.shuttle.rs/blog/2024/02/22/api

Implementing API Rate Limiting in Rust
Exploring how to implement rate limiting manually in a Rust API as well as using crates

May be nitpicky, but if you show time as 09:45 then use it consistently. References shows 9:45 and then 09:45. Without the leading zero people may get confused if they are referring to morning or evening. Surprised that happens as government entities usually have good editors.
Other than that looking forward to hearing what the interest rate will be as I renew my mortgage late 2025 and hopefully see the start of dropping rates.

Quits rate past 23 years.
One explanation for big layoffs? Quits are down. But when you look: they're down compared to 2022, they're not down compared to 5 years ago.
Another explanation? Generative #AI is expensive and companies are laying people off to free up cash to spend on that.
Chart:

Quits: Total Nonfarm
Graph and download economic data for Quits: Total Nonfarm (JTSQUR) from Dec 2000 to Dec 2023 about quits, nonfarm, and USA.

This https://arxiv.org/abs/2402.14961 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Reinforcement Learning with Elastic Time Steps
Traditional Reinforcement Learning (RL) algorithms are usually applied in robotics to learn controllers that act with a fixed control rate. Given the discrete nature of RL algorithms, they are oblivious to the effects of the choice of control rate: finding the correct control rate can be difficult and mistakes often result in excessive use of computing resources or even lack of convergence. We propose Soft Elastic Actor-Critic (SEAC), a novel off-policy actor-critic algorithm to address this is…

Tetherball is a vicious, vicious sport and yet it has a very low crime rate.

Right. Now it's worked. Accounts moved.
Pretty sure the problem was that Firefish had a cached version of the remote profile from before the alias was set. You can go visit that profile's data and force a refresh, but by the time I realized that I was already rate-limited till the next day just from trying to re-set it on the remote host.
A few left behind on servers that aren't honoring MOVE actions I guess.
Did not copy following-lists, have to do that manually I guess.
Old server is now empty except for the admin account. I'll have it close down in a few days.
Then rebuild it! Stronger than before!

#Playgrounds
Via Super 70s Sports 🤖 @…
“Hey, boss, I’ve got an idea for a new piece of playground equipment.”
“Let’s hear it.”
“Kids grab a chain and hold on for dear life while spinning at a high rate of speed.”

Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
S M Rakib Hasan, Aakar Dhakal, Ms. Ayesha Siddiqua, Mohammad Mominur Rahman, Md Maidul Islam, Mohammed Arfat Raihan Chowdhury, S M Masfequier Rahman Swapno, SM Nuruzzaman Nobel
https://arxiv.org/abs/2404.03606

Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
Music plays a huge part in shaping peoples' psychology and behavioral patterns. This paper investigates the connection between national anthems and different global indices with computational music analysis and statistical correlation analysis. We analyze national anthem musical data to determine whether certain musical characteristics are associated with peace, happiness, suicide rate, crime rate, etc. To achieve this, we collect national anthems from 169 countries and use computational music …

This https://arxiv.org/abs/2305.11672 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Nonparametric classification with missing data
We introduce a new nonparametric framework for classification problems in the presence of missing data. The key aspect of our framework is that the regression function decomposes into an anova-type sum of orthogonal functions, of which some (or even many) may be zero. Working under a general missingness setting, which allows features to be missing not at random, our main goal is to derive the minimax rate for the excess risk in this problem. In addition to the decomposition property, the rate d…

Characterization of a novel time-resolved, real-time scintillation dosimetry system for ultra-high dose rate radiation therapy applications
Alexander BaikalovDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, Institute of Radiation Medicine, Helmholtz Zentrum M\"unchen GmbH, German Research …

Characterization of a novel time-resolved, real-time scintillation dosimetry system for ultra-high dose rate radiation therapy applications
Background: Scintillation dosimetry has promising qualities for ultra-high dose rate (UHDR) radiotherapy (RT), but no system has shown compatibility with mean dose rates ($\bar{DR}$) above 100 Gy/s and doses per pulse ($D_p$) exceeding 1.5 Gy typical of UHDR (FLASH)-RT. The aim of this study was to characterize a novel scintillator dosimetry system with the potential of accommodating UHDRs. Methods: A thorough dosimetric characterization of the system was performed on an UHDR electron beamline.…

Interesting synopsis of how #netflix algorithms rate your shows by #completionrates from @… (who is being a tad quiet here in the #Fediverse camp)
https://www.tumblr.com/teledyn/749684887413456896/its-a-good-thing-they-did-because-neils-reply-is?source=share

This https://arxiv.org/abs/2312.14889 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

On Rate-Optimal Partitioning Classification from Observable and from Privatised Data
In this paper we revisit the classical method of partitioning classification and study its convergence rate under relaxed conditions, both for observable (non-privatised) and for privatised data. Let the feature vector $X$ take values in $\mathbb{R}^d$ and denote its label by $Y$. Previous results on the partitioning classifier worked with the strong density assumption, which is restrictive, as we demonstrate through simple examples. We assume that the distribution of $X$ is a mixture of an abs…

This https://arxiv.org/abs/2402.15953 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries
With the increasing rate of data generated by critical systems, estimating functions on streaming data has become essential. This demand has driven numerous advancements in algorithms designed to efficiently query and analyze one or more data streams while operating under memory constraints. The primary challenge arises from the rapid influx of new items, requiring algorithms that enable efficient incremental processing of streams in order to keep up. A prominent algorithm in this domain is the…

The Coroner Called Them Overdoses. What Really Happened?
BC lags far behind other provinces in its autopsy rate for suspected drug deaths. A Tyee special report.
https://thetyee.ca/News/2024/03/04/Cor

The Coroner Called Them Overdoses. What Really Happened? | The Tyee
BC lags far behind other provinces in its autopsy rate for suspected drug deaths. A Tyee special report.

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
https://arxiv.org/abs/2404.02249

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
Predicting click-through rates (CTR) is a fundamental task for Web applications, where a key issue is to devise effective models for feature interactions. Current methodologies predominantly concentrate on modeling feature interactions within an individual sample, while overlooking the potential cross-sample relationships that can serve as a reference context to enhance the prediction. To make up for such deficiency, this paper develops a Retrieval-Augmented Transformer (RAT), aiming to acquire…

It occurred to me: the crime rate among undocumented migrants in the US must be lower than that among members of the House, of the Senate, and even of the Supreme Court.
As for Presidents, there is no contest. The crime rate among that population is now estimated to be close to 200%.

This https://arxiv.org/abs/2310.14973 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Reconciling Open Interest with Traded Volume in Perpetual Swaps
Perpetual swaps are derivative contracts that allow traders to speculate on, or hedge, the price movements of cryptocurrencies. Unlike futures contracts, perpetual swaps have no settlement or expiration in the traditional sense. The funding rate acts as the mechanism that tethers the perpetual swap to its underlying with the help of arbitrageurs. Open interest, in the context of perpetual swaps and derivative contracts in general, refers to the total number of outstanding contracts at a given p…

Tappy: Predicting Tap Accuracy of User-Interface Elements by Reverse-Engineering Webpage Structures
Hiroki Usuba, Junichi Sato, Naomi Sasaya, Shota Yamanaka, Fumiya Yamashit
https://arxiv.org/abs/2403.03097

Tappy: Predicting Tap Accuracy of User-Interface Elements by Reverse-Engineering Webpage Structures
Selecting a UI element is a fundamental operation on webpages, and the ease of tapping a target object has a significant impact on usability. It is thus important to analyze existing UIs in order to design better ones. However, tools proposed in previous studies cannot identify whether an element is tappable on modern webpages. In this study, we developed Tappy that can identify tappable UI elements on webpages and estimate the tap-success rate based on the element size. Our interviews of profe…

This https://arxiv.org/abs/2308.09110 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer
JPEG compression adopts the quantization of Discrete Cosine Transform (DCT) coefficients for effective bit-rate reduction, whilst the quantization could lead to a significant loss of important image details. Recovering compressed JPEG images in the frequency domain has recently garnered increasing interest, complementing the multitude of restoration techniques established in the pixel domain. However, existing DCT domain methods typically suffer from limited effectiveness in handling a wide ran…

Four separate support contacts with different companies in the last 30 days, 0% success rate on why I had to reach contact in first place.
Why is so difficult these days to actually receive support? It's all crappy bots that repeat like parrots, or humans blindly following a text script.
You have to be extremely careful to not say the wrong word when describing your issue or they'll branch without going back and corner you with the wrong solution for a different problem.<…

Information Theory and Direction Selectivity
Aman Chawla
https://arxiv.org/abs/2404.02915 https://arxiv.org/pdf/2404.02915

Information Theory and Direction Selectivity
In this brief paper, the authors study the tuning curves of starburst amacrine cells (SACs) and introduce a quantity called the irresolution or ambiguity of a SAC. They show that the rate of data generated by a starburst amacrine cell is inversely proportional to its irresolution. This is done by providing bounds on the rate required to encode the generated data. This technique can be applied to different cell types with different tuning curves. In this manner, information theoretic views can b…

Tienes que ser un tipo especial* de persona para estar en el 0.001%** de la población en riqueza, pagar un tipo efectivo inferior a la media en impuestos y que no se te caiga la cara de vergüenza.
(*) Mala, mala persona es lo que tienes que ser. https://mastodon.social/@GottaLaff/112

Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
Ryoji Tanabe
https://arxiv.org/abs/2404.03303 htt…

Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
Differential evolution (DE) generally requires parameter control methods (PCMs) for the scale factor and crossover rate. Although a better understanding of PCMs provides a useful clue to designing an efficient DE, their effectiveness is poorly understood in mixed-integer black-box optimization. In this context, this paper benchmarks PCMs in DE on the mixed-integer black-box optimization benchmarking function (bbob-mixint) suite in a component-wise manner. First, we demonstrate that the best PCM…

This https://arxiv.org/abs/2305.06151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
A novel linear integration rule called $\textit{control neighbors}$ is proposed in which nearest neighbor estimates act as control variates to speed up the convergence rate of the Monte Carlo procedure on metric spaces. The main result is the $\mathcal{O}(n^{-1/2} n^{-s/d})$ convergence rate -- where $n$ stands for the number of evaluations of the integrand and $d$ for the dimension of the domain -- of this estimate for Hölder functions with regularity $s \in (0,1]$, a rate which, in some sens…

Extremely Hardcore book excerpt: how Elon Musk's decision to impose rate limits on Twitter in summer 2023 helped upsell Blue, as he prepared to launch xAI (Zoë Schiffer/Wired)
https://www.wired.com/story/elon-musk-twitter-rate-limits-extremely-har…

The Story Behind Elon Musk’s Tweet Restriction Fiasco
Last summer, Elon Musk began rate-limiting the number of tweets users could see on Twitter. Here's the real reason why.

WS4 Rain Rate Alert:Rain Rate:1.2in/h Rain For Day:0.5in #WS4 #STATUS

Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Qianqian Yang, Wei Xu, Zhaoyang Zhang
https://arxiv.org/abs/2403.00434

Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA) is investigated. In the considered model, the base station (BS) needs to transmit a large amount of data to multiple users with RSMA. Due to limited communication resources, the BS is required to utilize semantic communication techniques to compress the large-sized data. The semantic communication is enabled by shar…

Interested in implementing API rate limiting?
Check out this guide that provides a look at implementing your own naive sliding window rate limiter, as well as using the tower-governor crate to provide production grade rate limiting for your API!
https://www.shuttle.rs/blog/2024/02/22/api

Implementing API Rate Limiting in Rust
Exploring how to implement rate limiting manually in a Rust API as well as using crates

This https://arxiv.org/abs/2402.14961 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Reinforcement Learning with Elastic Time Steps
Traditional Reinforcement Learning (RL) algorithms are usually applied in robotics to learn controllers that act with a fixed control rate. Given the discrete nature of RL algorithms, they are oblivious to the effects of the choice of control rate: finding the correct control rate can be difficult and mistakes often result in excessive use of computing resources or even lack of convergence. We propose Soft Elastic Actor-Critic (SEAC), a novel off-policy actor-critic algorithm to address this is…

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Youjin Kim, Jonggyu Jang, Hyun Jong Yang
https://arxiv.org/abs/2404.02477

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to…

The Guardian: #Trump Gave Top US Firms Staggering Tax Cuts, With Some Paying $0 or less – Report – ITEP
https://itep.org/the-guardian-trump-ga

The Guardian: Trump Gave Top US Firms Staggering Tax Cuts, With Some Paying $0 or less – Report
Some of the US’s most profitable corporations, including General Motors, Citigroup and Netflix, have slashed their tax bills in the years since the passage of the Trump tax cuts, with nearly a quarter paying rates in the single digits and 23 paying nothing, a report has found. The 2017 law cut the top corporate income tax rate from 35% to 21%. But the new assessment of corporate tax avoidance, published on Thursday by the non-profit Institute on Taxation and Economic Policy (Itep), found t…

Condensation in zero-range processes with a fast rate
Watthanan Jatuviriyapornchai, Stefan Grosskinsky
https://arxiv.org/abs/2404.02590 https://

Condensation in zero-range processes with a fast rate
We introduce a simple zero-range process with constant rates and one fast rate for a particular occupation number, which diverges with the system size. Surprisingly, this minor modification induces a condensation transition in the thermodynamic limit, where the structure of the condensed phase depends on the scaling of the fast rate. We study this transition and its dependence on system parameters in detail on a rigorous level using size-biased sampling. This approach generalizes to any particl…

This https://arxiv.org/abs/2302.05797 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Global Convergence Rate of Deep Equilibrium Models with General Activations
In a recent paper, Ling et al. investigated the over-parametrized Deep Equilibrium Model (DEQ) with ReLU activation. They proved that the gradient descent converges to a globally optimal solution for the quadratic loss function at a linear convergence rate. This paper shows that this fact still holds for DEQs with any generally bounded activation with bounded first and second derivatives. Since the new activation function is generally non-homogeneous, bounding the least eigenvalue of the Gram m…

Americans view strengthening the #economy as the top policy priority for Biden and Congress to address this year.
No single issue stands out after the economy. Nearly three-quarters of Americans (73%) rate strengthening the economy as a top priority. That is considerably larger than the shares citing any other policy goal.
Republicans ( and only Republicans ) are increasingly concerned over

Americans’ Top Policy Priority for 2024: Strengthening the Economy
Growing shares of Republicans rate immigration and terrorism as top priorities for the president and Congress this year.

This https://arxiv.org/abs/2205.02160 has been replaced.
link: https://scholar.google.com/scholar?q=a

Making SGD Parameter-Free
We develop an algorithm for parameter-free stochastic convex optimization (SCO) whose rate of convergence is only a double-logarithmic factor larger than the optimal rate for the corresponding known-parameter setting. In contrast, the best previously known rates for parameter-free SCO are based on online parameter-free regret bounds, which contain unavoidable excess logarithmic terms compared to their known-parameter counterparts. Our algorithm is conceptually simple, has high-probability guara…

Masks, Signs, And Learning Rate Rewinding
Advait Gadhikar, Rebekka Burkholz
https://arxiv.org/abs/2402.19262 https://arxiv.org/pdf/24…

Masks, Signs, And Learning Rate Rewinding
Learning Rate Rewinding (LRR) has been established as a strong variant of Iterative Magnitude Pruning (IMP) to find lottery tickets in deep overparameterized neural networks. While both iterative pruning schemes couple structure and parameter learning, understanding how LRR excels in both aspects can bring us closer to the design of more flexible deep learning algorithms that can optimize diverse sets of sparse architectures. To this end, we conduct experiments that disentangle the effect of ma…

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
Qingchao Li, Mohammed El-Hajjar, Yanshi Sun, Ibrahim Hemadeh, Yingming Tsai, Arman Shojaeifard, Lajos Hanzo
https://arxiv.org/abs/2405.01136

Achievable Rate Analysis of Intelligent Omni-Surface Assisted NOMA Holographic MIMO Systems
An intelligent omni-surface (IOS) assisted holographic multiple-input and multiple-output architecture is conceived for $360^\circ$ full-space coverage at a low energy consumption. The theoretical ergodic rate lower bound of our non-orthogonal multiple access (NOMA) scheme is derived based on the moment matching approximation method, while considering the signal distortion at transceivers imposed by hardware impairments (HWIs). Furthermore, the asymptotically ergodic rate lower bound is derived…

This https://arxiv.org/abs/2402.19276 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Modular Blind Video Quality Assessment
Blind video quality assessment (BVQA) plays a pivotal role in evaluating and improving the viewing experience of end-users across a wide range of video-based platforms and services. Contemporary deep learning-based models primarily analyze the video content in its aggressively downsampled format, while being blind to the impact of actual spatial resolution and frame rate on video quality. In this paper, we propose a modular BVQA model, and a method of training it to improve its modularity. Spec…

Benchmarking the IRDC G351.77-0.53: Gaia DR3 distance, mass distribution, and star formation content
S. D. Reyes-Reyes, A. M. Stutz, S. T. Megeath, Fengwei Xu, R. H. \'Alvarez-Guti\'errez, N. Sandoval-Garrido, H. -L. Liu
https://arxiv.org/abs/2403.02456 https://arxiv.org/pdf/2403.02456
arXiv:2403.02456v1 Announce Type: new
Abstract: While intensively studied, it remains unclear how the star formation (SF) in Infrared Dark Clouds (IRDCs) compares to that of nearby clouds. We study G351.77-0.53 (henceforth G351), a cluster-forming filamentary IRDC. We begin by characterizing its young stellar object (YSO) content. Based on the average parallax of likely members, we obtain a Gaia distance of $\sim\,2.0\pm0.14$ kpc, resolving the literature distance ambiguity. Using our Herschel-derived N(H$_2$) map, we measure a total gas mass of 10200 M$_{\odot}$ (within 11 pc$^2$) and the average line-mass profile of the entire filament, which we model as $\lambda =~1660 (w/\rm pc )^{0.62}\,\,M_{\odot}\,\rm{pc}^{-1}$. At $w < 0.63$ pc, our $\lambda$ profile is higher and has a steeper power-law index than $\lambda$ profiles extracted in Orion A and most of its substructures. Based on the YSOs inside the filament area, we estimate the SF efficiency (SFE) and SF rate (SFR). We calculate a factor of 5 incompleteness correction for our YSO catalog relative to Spitzer surveys of Orion A. The G351 SFE is $\sim 1.8$ times lower than that of Orion A and lower than the median value for local clouds. We measure SFR and gas masses to estimate the efficiency per free-fall time, $\epsilon _{\rm ff}$. We find that $\epsilon_{\rm ff}$ is $\sim$ 1.1 dex below the previously proposed mean local relation, and $\sim\,4.7\times$ below Orion A. These observations indicate that local SF-relations do not capture variations present in the Galaxy. We speculate that cloud youth and/or magnetic fields might account for the G351 inefficiency.

WS4 Rain Rate Alert:Rain Rate:0.9in/h Rain For Day:0.1in #WS4 #STATUS

#Amazon workers experience a disproportionate share of #injuries in the warehousing industry and that injuries at Amazon warehouses were more likely to be serious enough to require time off work.
Amazon accounts for 79 percent of employment among warehouses with at least 1,000 workers,
but 86 percent of all …

Amazon Says Its Injury Rates Are Down. They’re Still the Highest in the Industry.
Exclusive: An independent review of Amazon’s annual safety report finds that the company’s warehouse workers experience a disproportionate share of injuries.

This https://arxiv.org/abs/2207.13208 has been replaced.
link: https://scholar.google.com/scholar?q=a

Implementation and Evaluation of SiPM-Based Photon Counting Receiver for IoT Applications
Silicon Photomultipliers (SiPMs) are photon-counting detectors with great potential to improve the sensitivity of optical receivers. Recent studies of SiPMs in communication focus on the speed rather than the power consumption of the receiver. The gain bandwidth product (GBP) of the amplifiers in these post-SiPM readout circuits is significantly higher than the target data rate. Additionally, the SiPM experiments for optical communication are performed using an offline method which uses instrum…

This https://arxiv.org/abs/2401.09286 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deployable Reinforcement Learning with Variable Control Rate
Deploying controllers trained with Reinforcement Learning (RL) on real robots can be challenging: RL relies on agents' policies being modeled as Markov Decision Processes (MDPs), which assume an inherently discrete passage of time. The use of MDPs results in that nearly all RL-based control systems employ a fixed-rate control strategy with a period (or time step) typically chosen based on the developer's experience or specific characteristics of the application environment. Unfortunately, the s…

We wrote an article about implementing API rate limiting to help productionize your Rust web application!
Check it out: https://www.shuttle.rs/blog/2024/02/22/api-rate-limiting-rust

Implementing API Rate Limiting in Rust
Exploring how to implement rate limiting manually in a Rust API as well as using crates

This https://arxiv.org/abs/2403.14045 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps
This work considers gradient descent for L-smooth convex optimization with stepsizes larger than the classic regime where descent can be ensured. The stepsize schedules considered are similar to but differ slightly from the concurrently developed silver stepsizes of Altschuler and Parillo. For one of our stepsize sequences, we prove a $O\left(\frac{1}{N^{1.2716\dots}}\right)$ convergence rate in terms of objective gap decrease and for the other, we show the same rate of decrease for the squared…

Giant Biconical Dust Filaments in the Starburst Galaxy NGC 1808
Rohan KaneUniversity of Maryland, College Park, Sylvain VeilleuxUniversity of Maryland, College Park
https://arxiv.org/abs/2403.02427 https://arxiv.org/pdf/2403.02427
arXiv:2403.02427v1 Announce Type: new
Abstract: We present the results from an analysis of multi-wavelength archival data on the multi-phase outflow in the starburst galaxy NGC 1808. We report the detection at 70 and 100 um of dust filaments that extend up to ~ 13 kpc from the galactic mid-plane and trace an edge-brightened biconical structure along the minor axis of the galaxy. The inner filaments are roughly co-spatial with previously identified optical dust filaments, extraplanar polycyclic aromatic hydrocarbon emission, and neutral and ionized gaseous outflows. The 70/160 um flux ratio, a proxy for dust temperature, is elevated along the edges of the cones, indicating that the dusty medium has been driven out of the central regions of these cones and possibly shock-heated by an outflow. We establish lower limits on the extraplanar dust mass and mean height above the stellar disk of log(M_d/M_sun) = 6.48 and |z| ~ 5 kpc, respectively. The energy requirement of (5.1-9.6) x 10^{56} ergs needed to lift the dusty material, assuming Milky-Way like dust-to-gas ratio, can be supplied by the current starburst, with measured star formation rate of 3.5-5.4 M_sun yr^{-1}, over a timescale of (4-26) xi^{-1} Myr, where xi is the efficiency of energy transfer. We conclude that a starburst-driven outflow is the most likely mechanism by which the dust features were formed.

Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Hanwen Zhang, Mingzhe Chen, Alireza Vahid, Haijian Sun
https://arxiv.org/abs/2405.01515

Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Rate split multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond, especially in vehicular scenarios. However, RSMA requires complicated iterative algorithms for proper resource allocation, which cannot fulfill the stringent latency requirement in resource constrained vehicles. Although data driven approaches can alleviate this issue, they suffer from poor generalizability and scarce training data. In this paper, we propose a fractional programming (FP) ba…

This https://arxiv.org/abs/2401.09286 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deployable Reinforcement Learning with Variable Control Rate
Deploying controllers trained with Reinforcement Learning (RL) on real robots can be challenging: RL relies on agents' policies being modeled as Markov Decision Processes (MDPs), which assume an inherently discrete passage of time. The use of MDPs results in that nearly all RL-based control systems employ a fixed-rate control strategy with a period (or time step) typically chosen based on the developer's experience or specific characteristics of the application environment. Unfortunately, the s…

JWST PRIMER: A new multi-field determination of the evolving galaxy UV luminosity function at redshifts $\mathbf{z \simeq 9-15}$
C. T. Donnan, R. J. McLure, J. S. Dunlop, D. J. McLeod, D. Magee, K. Z. Arellano-C\'ordova, L. Barrufet, R. Begley, R. A. A. Bowler, A. C. Carnall, F. Cullen, R. S. Ellis, A. Fontana, G. D. Illingworth, N. A. Grogin, M. L. Hamadouche, A. M. Koekemoer, Feng-Yuan Liu, C. Mason, P. Santini, T. M. Stanton
https://arxiv.org/abs/2403.03171 https://arxiv.org/pdf/2403.03171
arXiv:2403.03171v1 Announce Type: new
Abstract: We present a new determination of the evolving galaxy UV luminosity function (LF) over the redshift range $8.5<15.5$ using a combination of several major Cycle-1 JWST imaging programmes - PRIMER, JADES and NGDEEP. This multi-field approach yields a total of $\simeq370$ sq. arcmin of JWST/NIRCam imaging, reaching (5-$\sigma$) depths of $\simeq30$ AB mag in the deepest regions. We select a sample of 2548 galaxies with a significant probability of lying at high redshift ($p(z>8.5)>0.05$) to undertake a statistical calculation of the evolving UV LF. Our new measurements span $\simeq4$ magnitudes in UV luminosity at $z=9-12.5$, placing new constraints on both the shape and evolution of the LF at early times. We fit our observational data-points with a double-power law (DPL) function and explore the evolution of the DPL parameters. Our UV LF measurements yield a new estimate of the early evolution of cosmic star-formation rate density ($\rho_{\rm{SFR}}$) which confirms the gradual, log-linear decline deduced from early JWST studies, at least out to $z \simeq 12$. Finally we show that the observed early evolution of the galaxy UV LF (and $\rho_{\rm{SFR}}$) can be reproduced in a ${\rm \Lambda}$CDM Universe, with no change in dust properties or star-formation efficiency required out to $z \simeq 12$. Instead, we show that a progressive trend towards younger stellar population ages can reproduce the observations, and we show that the typical ages required at $z \simeq$ 8, 9, 10, and 11 all converge on a time $\simeq 380-330$ Myr after the Big Bang, indicative of a rapid emergence of early galaxies at $z \simeq 12 - 13$. This is consistent with the first indications of a steeper drop-off in the galaxy population we find beyond $z \simeq 13$, possibly reflecting the rapid evolution of the halo mass function at earlier times.

A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding
Lingyi Chen, Shitong Wu, Xinwei Li, Huihui Wu, Hao Wu, Wenyi Zhang
https://arxiv.org/abs/2405.00545

A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding
An approach is established for maximizing the Lower bound on the Mismatch capacity (hereafter abbreviated as LM rate), a key performance bound in mismatched decoding, by optimizing the channel input probability distribution. Under a fixed channel input probability distribution, the computation of the corresponding LM rate is a convex optimization problem. When optimizing the channel input probability distribution, however, the corresponding optimization problem adopts a max-min formulation, whi…

Equal Requests are Asymptotically Hardest for Data Recovery
J\"uri Lember, Ago-Erik Riet
https://arxiv.org/abs/2405.02107 https://

Equal Requests are Asymptotically Hardest for Data Recovery
In a distributed storage system serving hot data, the data recovery performance becomes important, captured e.g. by the service rate. We give partial evidence for it being hardest to serve a sequence of equal user requests (as in PIR coding regime) both for concrete and random user requests and server contents. We prove that a constant request sequence is locally hardest to serve: If enough copies of each vector are stored in servers, then if a request sequence with all requests equal can be …

This https://arxiv.org/abs/2404.00206 has been replaced.
link: https://scholar.google.com/scholar?q=a

Random Reed-Solomon Codes are List Recoverable with Optimal List Size
We prove that Reed-Solomon (RS) codes with random evaluation points are list recoverable up to capacity with optimal output list size, for any input list size. Namely, given an input list size $\ell$, a designated rate $R$, and any $\varepsilon > 0$, we show that a random RS code is list recoverable from $1-R-\varepsilon$ fraction of errors with output list size $L = O(\ell/\varepsilon)$, for field size $q=\exp(\ell,1/\varepsilon) \cdot n^2$. In particular, this shows that random RS codes are…

This https://arxiv.org/abs/2403.01491 has been replaced.
link: https://scholar.google.com/scholar?q=a

Ultimate codes
A linear block code over a field can be derived from a unit scheme. Looking at codes as structures within a unit scheme greatly extends the availability of linear block and convolutional codes and allows the construction of the codes to required length, rate, distance and type. Properties of a code emanate from properties of the unit from which it was derived. %% can thus be constructed and analysed by designating the units whose properties would give the required codes. Orthogonal units, uni…

Multiple UAV-Assisted Cooperative DF Relaying in Multi-User Massive MIMO IoT Systems
Mobeen Mahmood, Yicheng Yuan, Tho Le-Ngoc
https://arxiv.org/abs/2404.03068

Multiple UAV-Assisted Cooperative DF Relaying in Multi-User Massive MIMO IoT Systems
This work considers a multi-user massive multiple-input multiple-output (MU-mMIMO) Internet-of-Things (IoT) system, where multiple unmanned aerial vehicles (UAVs) operating as decode-and-forward (DF) relays connect the base station (BS) to a large number of IoT devices. To maximize the total achievable rate, we propose a novel joint optimization problem of hybrid beamforming (HBF), multiple UAV relay positioning, and power allocation (PA) to multiple IoT users. The study adopts a geometry-based…

This https://arxiv.org/abs/2312.15504 has been replaced.
link: https://scholar.google.com/scholar?q=a

Power Allocation and Beamforming Design for IRS-aided Secure Directional Modulation Network
With the aim of boosting the security of the conventional directional modulation (DM) network, a secure DM network assisted by intelligent reflecting surface (IRS) is investigated in this paper. To maximize the secrecy rate (SR), we jointly optimize the power allocation (PA) factor, confidential message (CM) beamforming, artificial noise (AN) beamforming, and IRS reflected beamforming. To tackle the formulated problem, a maximizing SR with high-performance (Max-SR-HP) scheme is proposed, where …

Graph Neural Network based Active and Passive Beamforming for Distributed STAR-RIS-Assisted Multi-User MISO Systems
Ha An Le, Trinh Van Chien, Wan Choi
https://arxiv.org/abs/2405.01979

Graph Neural Network based Active and Passive Beamforming for Distributed STAR-RIS-Assisted Multi-User MISO Systems
This paper investigates a joint active and passive beamforming design for distributed simultaneous transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS) assisted multi-user (MU)- mutiple input single output (MISO) systems, where the energy splitting (ES) mode is considered for the STAR-RIS. We aim to design the active beamforming vectors at the base station (BS) and the passive beamforming at the STAR-RIS to maximize the user sum rate under transmitting power constraints. …

This https://arxiv.org/abs/2403.16826 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

A Progressive Codebook Optimization Scheme for Sparse Code Multiple Access in Downlink Channels
Sparse code multiple access (SCMA) is a promising technique for enabling massive connectivity and high spectrum efficiency in future machine-type communication networks. However, its performance crucially depends on well-designed multi-dimensional codebooks. In this paper, we propose a novel progressive codebook optimization scheme that can achieve near-optimal performance over downlink fading channels. By examining the pair-wise error probability (PEP), we first derive the symbol error rate (S…