A Practical Platform for Cube-Attack-like Cryptanalyses

Recently, various cryptanalysis methods related to Cube Attack have attracted a lot of interest. We designed a practical platform to perform such cryptanalysis attacks. We also developed a web-based application at \url{http://cube-attack.appspot.com/}, which is open to public for simple testing and verification. In this paper, we focus on linearity testing and try to verify the data provided in several papers. Some interesting results produced in our work indicate certain improper assumptions were made in these papers

Enhancement in Interfacial Adhesion of Ti/Polyetheretherketone by Electrophoretic Deposition of Graphene Oxide

This is the peer reviewed version of the following article: Pan, L., Lv, Y., Nipon, R., Wang, Y., Duan, L., Hu, J., ... & Shi, Y. (2019). Enhancement in Interfacial Adhesion of Ti/Polyetheretherketone by Electrophoretic Deposition of Graphene Oxide. Polymer Composites, 40(S2), E1243-E1251, which has been published in final form at https://doi.org/10.1002/pc.24955. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.This article discusses about the significance of graphene oxide (GO) deposition on the surface of a titanium plate by electrophoretic deposition (EPD) method to improve the adhesive strength of Ti/polyetheretherketone (PEEK) interfacial adhesive. Firstly, the anodic EPD method was applied to a water dispersion solution of GO, and then the morphology and the properties of titanium plate surface were characterized by scanning electron microscopy and contact angle measurements before and after GO deposition. Furthermore, the changes in the properties of GO after heating at 390°C were characterized by Raman and Fourier transform infrared spectroscopies. According to the results of single lap tensile shear test, the adhesion strength of Ti/PEEK interface after the anodization and deposition of GO was 34.94 MPa, an increase of 29.2% compared with 27.04 MPa of sample with only anodization. Also, the adhesion strengths were 58.1 and 76.5% higher compared with the samples of only GO deposited (22.1 MPa) and pure titanium (19.8 MPa), respectively

Quality of General Medical Care in Community Health Centers in 2019—2020：Overview and Problems Analysis

BackgroundStrengtheningclinical quality control and supervision is one of the effective ways to ensure medical quality. Supervising the quality of general medical care in primary care settings in the local region could contribute to the systematical assessment of general medical care quality and identification of relevantproblems in such settings.ObjectiveTo analyze the supervision of quality of general medical care in Shanghai's primary care settings conducted in 2019 and 2020, and based on this, to give targeted, rational recommendations on the identified problems in quality management of general medical care.MethodsThe quality of general medical care in a cluster sample of community health centers (CHCs) of Shanghai was supervised in 2019 and 2020 by relevant experts from Shanghai's municipal and district general practice quality control departments using the Clinical Quality Control and Supervision Standards for General Medical Care in Shanghai's Community Health Centers (hereinafter referred to as CQCSS) developed by Shanghai General Practice Clinical Quality Control Center. In May 2021, the supervision results of the two years were analyzed using descriptive analysis, then compared, and the identified problems were summarized and analyzed.ResultsTwo hundred and forty-three CHCs were involved in the 2019 supervision, and 244 were involved in the 2020 supervision. The average total CQCSS score for 2019 was (87.32±5.97) points, and that for 2020 was (86.67±5.36) points. Compared to the results in 2019, the scores of first-level indicators of basic conditions (99.93% vs 99.80%) , staffing and determining job responsibilities of general practitioners (GPs) (93.44% vs 91.90%) , diagnosis and treatment ability of GPs (85.82% vs 85.72%) , chronic disease management ability of GPs (81.07% vs 80.95%) and scientific research and teaching levels (29.99% vs 28.87%) increased in 2020. The problems mentioned were mainly distributed in five aspects: staffing〔176 (22.03%) 〕, GPs' clinical management ability〔154 (19.27%) 〕, quality of inpatient medical records〔92 (11.51%) 〕, quality of home sickbed patients' medical records〔91 (11.39%) 〕, allocation of facilities〔91 (11.39%) 〕. In terms of the mentioned frequency, the top five problems were: ineligible senior GPs to registered GPs ratio〔84 (10.51%) 〕, poor scientific research〔84 (10.51%) 〕, less than 3.5 GPs per 1 000 residents〔61 (7.63%) 〕, unsatisfactory clinical skills〔40 (5.01%) 〕, and insufficient number of home sickbeds〔36 (4.51%) 〕.ConclusionThese two years of quality control supervision has initially promoted the quality improvementof general medical care in CHCs. To further improve it, it is suggested to take actions to deepen the core essence of general medical care quality management, improve the diagnosis and treatment ability of GPs, as well as their teaching and research ability

A compendium of genetic regulatory effects across pig tissues

The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.</p

Metric Nearness Made Practical

Given a square matrix with noisy dissimilarity measures between pairs of data samples, the metric nearness model computes the best approximation of the matrix from a set of valid distance metrics. Despite its wide applications in machine learning and data processing tasks, the model faces non-trivial computational requirements in seeking the solution due to the large number of metric constraints associated with the feasible region. Our work designed a practical approach in two stages to tackle the challenge and improve the model's scalability and applicability. The first stage computes a fast yet high-quality approximate solution from a set of isometrically embeddable metrics, further improved by an effective heuristic. The second stage refines the approximate solution with the Halpern-Lions-Wittmann-Bauschke projection algorithm, which converges quickly to the optimal solution. In empirical evaluations, the proposed approach runs at least an order of magnitude faster than the state-of-the-art solutions, with significantly improved scalability, complete conformity to constraints, less memory consumption, and other desirable features in real applications

Personalizing or Not: Dynamically Personalized Federated Learning with Incentives

Personalized federated learning (FL) facilitates collaborations between multiple clients to learn personalized models without sharing private data. The mechanism mitigates the statistical heterogeneity commonly encountered in the system, i.e., non-IID data over different clients. Existing personalized algorithms generally assume all clients volunteer for personalization. However, potential participants might still be reluctant to personalize models since they might not work well. In this case, clients choose to use the global model instead. To avoid making unrealistic assumptions, we introduce the personalization rate, measured as the fraction of clients willing to train personalized models, into federated settings and propose DyPFL. This dynamically personalized FL technique incentivizes clients to participate in personalizing local models while allowing the adoption of the global model when it performs better. We show that the algorithmic pipeline in DyPFL guarantees good convergence performance, allowing it to outperform alternative personalized methods in a broad range of conditions, including variation in heterogeneity, number of clients, local epochs, and batch sizes.Comment: Withdrawal for further revisio