Death Caused by Disseminated Herpes Zoster in a Patient with Multiple Myeloma: A Case Report and Literature Review.

We report a fatal case of disseminated herpes zoster in a patient with multiple myeloma, illustrating the severe risks immunocompromised individuals face from viral infections. By combining a detailed case report with an extensive literature review, the paper seeks to shed light on the underlying susceptibility factors for varicella-zoster virus infection in multiple myeloma patients. We further evaluate effective prophylactic protocols for herpes zoster, aiming to equip clinicians with improved therapeutic strategies.

Invariant feature based label correction for DNN when Learning with Noisy Labels.

Learning with Noisy Labels (LNL) methods have been widely studied in recent years, which aims to improve the performance of Deep Neural Networks (DNNs) when the training dataset contains incorrectly annotated labels. Popular existing LNL methods rely on semantic features extracted by the DNN to detect and mitigate label noise. However, these extracted features are often spurious and contain unstable correlations with the label across different environments (domains), which can occasionally lead to incorrect prediction and compromise the efficacy of LNL methods.

Highly Efficient One-Step Conversion of Fructose to Biofuel 5-Ethoxymethylfurfural Using a UIO-66-SOH Catalyst.

In this study, a novel sulfonic acid-modified catalyst for MOFs (UIO-66-SOH) was synthesized using chlorosulfonic acid as a sulfonating reagent and first used as efficient heterogeneous catalysts for the one-pot conversion of fructose into biofuel 5-ethoxymethylfurfural (EMF) in a cosolvent free system. The physicochemical properties of this catalyst were characterized by Fourier transform infrared spectroscopy (FT-IR), transmission electron microscopy (TEM), and powder X-ray diffraction (XRD). The characterization demonstrated that the sulfonic acid group was successfully grafted onto the MOF material and did not cause significant changes to its morphology and structure.

2-BidLSTM: A Feature Driven Intrusion Detection System Based on 2 Statistical Model and Bidirectional LSTM.

In a network architecture, an intrusion detection system (IDS) is one of the most commonly used approaches to secure the integrity and availability of critical assets in protected systems. Many existing network intrusion detection systems (NIDS) utilize stand-alone classifier models to classify network traffic as an attack or as normal. Due to the vast data volume, these stand-alone models struggle to reach higher intrusion detection rates with low false alarm rates( FAR).

Efficient synthesis of 5-ethoxymethylfurfural from biomass-derived 5-hydroxymethylfurfural over sulfonated organic polymer catalyst.

Herein, we investigated catalytic potential of a functionalized porous organic polymer bearing sulfonic acid groups (PDVTA-SOH) to the etherification of 5-hydroxymethylfurfural (HMF) to 5-ethoxymethylfurfural (EMF) under solvent-free conditions. The PDVTA-SOH material was synthesized post-synthetic sulfonation of the porous co-polymer poly-divinylbenzene--triallylamine by chlorosulfonic acid. The physicochemical properties of the PDVTA-SOH were characterized by FT-IR, SEM, TG-DTG, and N adsorption isotherm techniques.

Broad-Spectrum Profiling of Drug Safety via Learning Complex Network.

Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this study, we developed an advanced machine learning model for de novo drug safety assessment by solving the multilayer drug-gene-adverse drug reaction (ADR) interaction network.

Visual and efficient immunosensor technique for advancing biomedical applications of quantum dots on Salmonella detection and isolation.

It is a great challenge in nanotechnology for fluorescent nanobioprobes to be applied to visually detect and directly isolate pathogens in situ. A novel and visual immunosensor technique for efficient detection and isolation of Salmonella was established here by applying fluorescent nanobioprobes on a specially-designed cellulose-based swab (a solid-phase enrichment system). The selective and chromogenic medium used on this swab can achieve the ultrasensitive amplification of target bacteria and form chromogenic colonies in situ based on a simple biochemical reaction.

Rapid Assessment of Adverse Drug Reactions by Statistical Solution of Gene Association Network.

Adverse drug reaction (ADR) is a common clinical problem, sometimes accompanying with high risk of mortality and morbidity. It is also one of the major factors that lead to failure in new drug development. Unfortunately, most of current experimental and computational methods are unable to evaluate clinical safety of drug candidates in early drug discovery stage due to the very limited knowledge of molecular mechanisms underlying ADRs.

[Application of niche theory in evaluation of main tourism scenic areas in Zhangjiajie City].

Five tourism scenic areas in Zhangjiajie City were selected as research objects, and fifty kinds of resource conditions affecting the development of tourism scenic area were taken as evaluation indices. Through disposing and consolidating the indices level by level, an analysis was made on the niche breadth and niche overlap of the five tourism scenic areas at three levels (I, II, and III). In the five scenic areas, index level had significant effects on the niche breadth (F = 10.

Time-critical dynamic decision modeling in medicine.

Many real-world medical applications require timely actions to be taken in time pressured situations. Existing approaches to dynamic decision modeling have provided relatively efficient methods for representing and reasoning, but the process of computing the optimal solution has remained intractable. A major reason for this difficulty is the lack of models that are capable of modeling temporal processes and dealing with time-critical situations.