Tootfinder

I get the most interesting spam these days.
Sorry pal, I'm not interested in a new fume hood even if it's 10% off. I have two already and there's physically no bench space I could possibly fit a third (nor do I need more).

PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Bin Tan, Wangyao Ge, Yidi Wang, Xin Liu, Jeff Burtoft, Hao Fan, Hui Wang
https://arxiv.org/abs/2508.18166

PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Modern app store recommender systems struggle with multiple-category apps, as traditional taxonomies fail to capture overlapping semantics, leading to suboptimal personalization. We propose PCR-CA (Parallel Codebook Representations with Contrastive Alignment), an end-to-end framework for improved CTR prediction. PCR-CA first extracts compact multimodal embeddings from app text, then introduces a Parallel Codebook VQ-AE module that learns discrete semantic representations across multiple codeboo…

The results of the development of the SPHERE-3 detector for studying the PCR mass composition in the 1-1000 PeV energy range. The status of 2025
D. V. Chernov, E. A. Bonvech, O. V. Cherkesova, E. L. Entina, V. I. Galkin, V. A. Ivanov, T. A. Kolodkin, N. O. Ovcharenko, D. A. Podgrudkov, T. M. Roganova, M. D. Ziva
https://arxiv.or…

The results of the development of the SPHERE-3 detector for studying the PCR mass composition in the 1-1000 PeV energy range. The status of 2025
The SPHERE-3 setup is destined to register the EAS Cherenkov light, both the direct and the reflected from the snow surface. A set of methods and new approaches in the measurement technique enable substantial progress in the study of the primary cosmic ray composition in the energy range 1--1000 PeV. The present work reveals the current status of the project development and detector performance modelling.

The project of a ground-based wide-angle EAS Cherenkov light imaging detector for PCR mass composition study in the 1-1000 PeV energy range
D. V. Chernov, E. A. Bonvech, O. V. Cherkesova, E. L. Entina, V. I. Galkin, V. A. Ivanov, T. A. Kolodkin, V. I. Osedlo, N. O. Ovcharenko, D. A. Podgrudkov, T. M. Roganova, M. D. Ziva
https://

The project of a ground-based wide-angle EAS Cherenkov light imaging detector for PCR mass composition study in the 1-1000 PeV energy range
This report presents a draft of a new detector designed to determine the chemical composition of primary cosmic rays based on the characteristics of the angular distribution of Cherenkov light from EAS. The installation, consisting of several such detectors, will be able to register individual EAS events in the energy range from 1 to 1000 PeV with high angular resolution of up to 0.2$^\circ$. The proposed detector's distinctive feature is its simple design and wide viewing angle of above $\pm30…

Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
Toufiq Musah
https://arxiv.org/abs/2508.01831

Large Kernel MedNeXt for Breast Tumor Segmentation and Self-Normalizing Network for pCR Classification in Magnetic Resonance Images
Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is important for downstream tasks such as pathological complete response (pCR) assessment. In this work, we address both segmentation and pCR classification using the large-scale MAMA-MIA DCE-MRI dataset. We employ a large-kernel MedNeXt architecture with a two-stage training strategy that expands the receptive field from 3x3x3 to 5x5x5 kernels using the UpKern algorithm. This approach allows st…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao (Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing, PR China, Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs of China, China Agricultural University, Beijing, PR China), Hanbo Xu (Key Laboratory of Smart Agric…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system f…

LLM-based Embedders for Prior Case Retrieval
Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov
https://arxiv.org/abs/2507.18455 https://arxiv.org/pdf/25…

LLM-based Embedders for Prior Case Retrieval
In common law systems, legal professionals such as lawyers and judges rely on precedents to build their arguments. As the volume of cases has grown massively over time, effectively retrieving prior cases has become essential. Prior case retrieval (PCR) is an information retrieval (IR) task that aims to automatically identify the most relevant court cases for a specific query from a large pool of potential candidates. While IR methods have seen several paradigm shifts over the last few years, th…

Hopefully the last #leukemia update for a while. Results today of high sensitivity PCR looking for sneaky cancer cells—NONE DETECTED! Woot!
So from here they’ll remove my central line (which I will def not miss) and then monthly monitoring for the next few years.
Thanks for all the good vibes, mastodon friends!

This https://arxiv.org/abs/2405.11676 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The High-Dimensional Asymptotics of Principal Component Regression
We study principal components regression (PCR) in an asymptotic high-dimensional regression setting, where the number of data points is proportional to the dimension. We derive exact limiting formulas for the estimation and prediction risks, which depend in a complicated manner on the eigenvalues of the population covariance, the alignment between the population PCs and the true signal, and the number of selected PCs. A key challenge in the high-dimensional setting stems from the fact that the …

This https://arxiv.org/abs/2410.01282 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Self-replicating fuels via autocatalytic molecular bond fission
This computational study advances a theoretical framework for practical, electrochemical fuel generation displaying exponential product yields and product formation rates as functions of time. Exponential reaction scaling is simulated through an autocatalytic cycle that emulates the process of DNA replication facilitated by the well-known polymerase chain reaction (PCR). Here, an initial buildup of formate into a two-carbon chain through CO2 carboxylation forms oxalate. A subsequent, two-electr…

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
Yinuo Wang, Juhyun Bae, Ka Ho Chow, Shenyang Chen, Shreyash Gupta
https://arxiv.org/abs/2507.04252

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the diagnosis of COVID using CT scans has been effective in assisting with RT-PCR diagnosis and severity classifications. In this paper, we proposed a new data quality control pipeline to refine the quality of CT images based on GAN and sliding windows. Also, we use cl…