DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy.

Graph Neural Networks (GNNs) have achieved great success in learning with graph-structured data. Privacy concerns have also been raised for the trained models which could expose the sensitive information of graphs including both node features and the structure information. In this paper, we aim to achieve node-level differential privacy (DP) for training GNNs so that a node and its edges are protected.

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping.

Tensor factorization has received increasing interest due to its intrinsic ability to capture latent factors in multi-dimensional data with many applications including Electronic Health Records (EHR) mining. PARAFAC2 and its variants have been proposed to address irregular tensors where one of the tensor modes is not aligned, e.g.

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity.

Utilizing electronic health records (EHR) for machine learning-driven clinical research has great potential to enhance outcome predictions and treatment personalization. Nonetheless, due to privacy and security concerns, the secondary use of EHR data is regulated, constraining researchers' access to EHR data. Generating synthetic EHR data with deep learning methods is a viable and promising approach to mitigate privacy concerns, offering not only a supplementary resource for downstream applications but also sidestepping the privacy risks associated with real patient data.

MiR-301b-3p promotes breast cancer development through inhibiting the expression of transforming growth factor-beta receptor 2.

Background: Breast cancer (BC) is a serious health threat to the patients. The present work explored the mechanism of miR-301b-3p and transforming growth factor-beta receptor 2 (TGFBR2 ) in affecting BC progression.

Methods: The miR-301b-3p-inhibitor and si-TGFBR2 solution were added to the DEME/F12 medium to culture the BC and normal breast epithelial cell lines to prepare negative control, miR-301b-3p-IN and miR-301b-3p-IN+si-TGFBR2 in the two types of cell lines.

Hemorrhagic cystitis in gastric cancer after nanoparticle albumin-bound paclitaxel: A case report.

Background: The advanced first-line regimen for advanced gastric cancer is based on a combination of fluoropyrimidine and platinum and/or paclitaxel (PTX), forming a two- or three-drug regimen. Compared to conventional PTX, nanoparticle albumin-bound PTX (Nab-PTX) has better therapeutic effects and fewer adverse effects reported in studies. Nab-PTX is a great option for patients presenting with advanced gastric cancer.

Microbial community of municipal drinking water in Hangzhou using metagenomic sequencing.

While traditional culture-dependent methods can effectively detect certain microorganisms, the comprehensive composition of the municipal drinking water (DW) microbiome, including bacteria, archaea, and viruses, remains unknown. Metagenomic sequencing has opened the door to accurately determine and analyze the entire microbial community of DW, providing a comprehensive understanding of DW species diversity, especially in the context of public health concerns during the COVID-19 era. In this study, we found that most of the culturable bacteria and some fecal indicator bacteria, such as Escherichia coli and Pseudomonas aeruginosa, were non-culturable using culture-dependent methods in all samples.

Clinical characteristics and treatment efficacy of immune checkpoint inhibitors (ICIs) in patients with ICIs-induced Adrenal insufficiency.

Background: Adrenal insufficiency (AI) caused by immune checkpoint inhibitors (ICIs) is an extremely rare immune-related adverse event (irAE). The detailed clinical characteristics and outcomes of patients with ICI-induced AI are unavailable. This study aimed to explore the clinical characteristics and efficacy of treatment in patients with ICI-induced AI.

Determination of vitamin K in infant formulas by liquid chromatography-online electrochemical reduction based on porous Pt/Ti electrode-fluorescence detection.

A highly sensitive and selective HPLC method for the determination of vitamin K vitamers including phylloquinone (PK) and menaquinones (MK-4) in infant formulas is described. The K vitamers were quantified with a fluorescence detector after online post-column electrochemical reduction occurring in a laboratory-made electrochemical reactor (ECR) equipped with platinum plated porous titanium (Pt/Ti) electrodes. The morphology of the electrode showed that the grain size of Pt was homogeneous and well plated on the porous Ti substrate, resulting in largely improved electrochemical reduction efficiency due to the large specific surface area.

NETs Promote Inflammatory Injury by Activating Pathway in Acute Lung Injury.

Acute respiratory distress syndrome (ARDS) threatens the survival of critically ill patients, the mechanisms of which are still unclear. Neutrophil extracellular traps (NETs) released by activated neutrophils play a critical role in inflammatory injury. We investigated the role of NETs and the underlying mechanism involved in acute lung injury (ALI).

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks.

Tensor factorization has been proved as an efficient unsupervised learning approach for health data analysis, especially for computational phenotyping, where the high-dimensional Electronic Health Records (EHRs) with patients history of medical procedures, medications, diagnosis, lab tests, etc., are converted to meaningful and interpretable medical concepts. Federated tensor factorization distributes the tensor computation to multiple workers under the coordination of a central server, which enables jointly learning the phenotypes across multiple hospitals while preserving the privacy of the patient information.

Temporal Network Embedding via Tensor Factorization.

Representation learning on static graph-structured data has shown a significant impact on many real-world applications. However, less attention has been paid to the evolving nature of temporal networks, in which the edges are often changing over time. The embeddings of such temporal networks should encode both graph-structured information and the temporally evolving pattern.

Matching Soulmates.

We study iterated matching of soulmates [IMS], a recursive process of forming coalitions that are mutually preferred by members to other coalition containing individuals as yet unmatched by this process. If all players can be matched this way, preferences are IMS-complete. A mechanism is a soulmate mechanism if it allows the formation of all soulmate coalitions.

Adipose tissue alleviates the stress response by releasing adiponectin during laparoscopic surgery in patients with colorectal cancer.

Background And Objectives: Laparoscopic colorectal surgery causes a lower stress response than open surgery. Adiponectin is mainly derived from adipocytes and has antidiabetic, antioxidative, and anti-inflammatory capabilities. The objective of the present study was to investigate the protein expression of adiponectin in adipose tissue, and the serum levels of adiponectin, oxidative stress markers and proinflammatory factors during laparoscopic colorectal surgery and open surgery periods.

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.

Modern healthcare systems knitted by a web of entities (e.g., hospitals, clinics, pharmacy companies) are collecting a huge volume of healthcare data from a large number of individuals with various medical procedures, medications, diagnosis, and lab tests.

LncRNA PCGsEM1 Contributes to the Proliferation, Migration and Invasion of Non-small Cell Lung Cancer Cells via acting as a Sponge for miR-152-3p.

Background: Long non-coding RNAs (lncRNAs) have been reported to play important roles in cellular biological function. Aberrant expression of lncRNAs has been found to be related to the progression of various diseases. LncRNA prostate cancer gene expression marker 1 (PCGEM1) has been demonstrated to be involved in the initiation and progression of human cancers.

Early enteral nutrition improves the outcome of critically ill patients with COVID-19: A retrospective study.

Background And Objectives: To evaluate the nutritional status of critically ill patients with COVID-19 and to determine which route of nutrition support is advantageous.

Methods And Study Design: This retrospective study was conducted in the ICU of a designated COVID-19 hospital. Patients were divided into an enteral nutrition (EN) group and parenteral nutrition (PN) group according to the initial route of nutrition support.

Significant effects of polysaccharide on lipid metabolism in diabetes may be associated with the activation of the FAM3C-HSF1-CAM signaling pathway.

Diabetes is a threat to patient health worldwide. Type 2 diabetes (T2DM), one of the two main types of diabetes, is a long-term metabolic disease caused by heredity and environmental factors. It has been reported that polysaccharide (GLP) significantly decreased the concentration of blood glucose, promoted insulin secretion, improved glucose tolerance and regulated the concentration of blood lipids.

Robust Tensor SVD and Recovery With Rank Estimation.

Tensor singular value decomposition (t-SVD) has recently become increasingly popular for tensor recovery under partial and/or corrupted observations. However, the existing t -SVD-based methods neither make use of a rank prior nor provide an accurate rank estimation (RE), which would limit their recovery performance. From the practical perspective, the tensor RE problem is nontrivial and difficult to solve.

A rapid screening classifier for diagnosing COVID-19.

Coronavirus disease 2019 (COVID-19) has caused a global pandemic. A classifier combining chest X-ray (CXR) with clinical features may serve as a rapid screening approach. The study included 512 patients with COVID-19 and 106 with influenza A/B pneumonia.

Analysis of Health Service Utilization and its Influencing Factors among Patients with Pneumoconiosis in China.

Pneumoconiosis, an interstitial lung disease that occurs from breathing in certain kinds of damaging dust particles, is a major occupational disease in China. Patients diagnosed with occupational pneumoconiosis can avail of free medical treatment, whereas patients without a diagnosis of occupational diseases cannot not claim free medical treatment in most provinces from the government before 2019. This study aimed to analyze the priority of medical facility selection and its influencing factors among patients with pneumoconiosis.

An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy.

In sparse empirical risk minimization (ERM) models, when sensitive personal data are used, e.g., genetic, healthcare, and financial data, it is crucial to preserve the differential privacy (DP) in training.

Berberine Improves Inflammatory Responses of Diabetes Mellitus in Zucker Diabetic Fatty Rats and Insulin-Resistant HepG2 Cells through the PPM1B Pathway.

Berberine (BBR), a natural compound extracted from a Chinese herb, has been shown to effectively attenuate insulin resistance (IR) and inflammation in the clinic. However, its ameliorative mechanism against IR is not well defined. This study is aimed at investigating the effect of BBR and protein phosphatase, Mg/Mn-dependent 1B (PPM1B) on IR.

Circular RNA Circ100084 functions as sponge of miR‑23a‑5p to regulate IGF2 expression in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) has become a major cause of cancer‑related mortality worldwide. Circular RNAs (circRNAs) are non‑coding RNAs that serve important roles in multiple cancers. However, the role of circRNAs in HCC remains largely unknown.

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis.

Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meaningful clinical concepts. While distributing the tensor factorization tasks to local sites can avoid direct data sharing, it still requires the exchange of intermediary results which could reveal sensitive patient information. Therefore, the challenge is how to jointly decompose the tensor under rigorous and principled privacy constraints, while still support the model's interpretability.

Napabucasin Attenuates Resistance of Breast Cancer Cells to Tamoxifen by Reducing Stem Cell-Like Properties.

BACKGROUND Tamoxifen (TAM) is the first-line drug for estrogen receptor-positive (ER+) breast cancer (BC) treatment. However, its resistance is a main obstacle in clinical practice. Thus, new therapeutic agents are urgently needed to fight TAM resistance.