Kssdtree: an interactive Python package for phylogenetic analysis based on sketching technique.

Summary: Sketching technologies have recently emerged as a promising solution for real-time, large-scale phylogenetic analysis. However, existing sketching-based phylogenetic tools exhibit drawbacks, including platform restrictions, deficiencies in tree visualization, and inherent distance estimation bias. These limitations collectively impede the overall convenience and efficiency of the analysis.

Data-Driven Framework toward Accurate Prediction of Interfacial Thermal Resistance in Particulate-Filled Composites.

The interfacial thermal resistance (ITR) inside the particulate-filled polymer composite is a bottleneck for improving the thermal conductivity (TC) of the material. Getting full knowledge of the ITR is crucial to the material design as well as to a faithful prediction of TC of the composite. However, a method fully taking into account the local circumstances inside the composite is yet to be developed to precisely characterize the ITR.

Methyltransferase-like 3 facilitates lung cancer progression by accelerating m6A methylation-mediated primary miR-663 processing and impeding SOCS6 expression.

Objective: Lung cancer (LC) remains a threatening health issue worldwide. Methyltransferase-like protein 3 (METTL3) is imperative in carcinogenesis via m6A modification of microRNAs (miRNAs). This study estimated the effect of METTL3 in LC by regulating m6A methylation-mediated pri-miR-663 processing.

Fabrication and characterization of oil-in-water pickering emulsions stabilized by ZEIN-HTCC nanoparticles as a composite layer.

In this work, the ZEIN-HTCC nanoparticles formed by zein and N-(2-hydroxy)propyl-3-trimethylammonium chitosan chloride (HTCC) were used as stabilizers to prepare oil-in-water (O/W) Pickering emulsions. The preparation conditions including shearing time, volume fraction of corn oil, mass ratio of ZEIN:HTCC and total concentration of ZEIN-HTCC of emulsions were optimized by measuring the droplet size, zeta potential, PDI and surface tension of emulsions. The ZEIN-HTCC emulsions are stable at the pH range of 4-9 and in the low salt ion concentrations up to 0.

A Stochastic FE Data-Driven Method for Nonlinear Multiscale Modeling.

A stochastic data-driven multilevel finite-element (FE2) method is introduced for random nonlinear multiscale calculations. A hybrid neural-network-interpolation (NN-I) scheme is proposed to construct a surrogate model of the macroscopic nonlinear constitutive law from representative-volume-element calculations, whose results are used as input data. Then, a FE2 method replacing the nonlinear multiscale calculations by the NN-I is developed.

Ultrahigh-Aspect-Ratio Boron Nitride Nanosheets Leading to Superhigh In-Plane Thermal Conductivity of Foldable Heat Spreader.

The rapid development of integrated circuits and electronic devices creates a strong demand for highly thermally conductive yet electrically insulating composites to efficiently solve "hot spot" problems during device operation. On the basis of these considerations, hexagonal boron nitride nanosheets (BNNS) have been regarded as promising fillers to fabricate polymer matrix composites. However, so far an efficient approach to prepare ultrahigh-aspect-ratio BNNS with large lateral size while maintaining an atomically thin nature is still lacking, seriously restricting further improvement of the thermal conductivity for BNNS/polymer composites.

Numerical homogenization of thermal conductivity of particle-filled thermal interface material by fast Fourier transform method.

Thermal interface material (TIM) is pivotal for the heat dissipation between layers of high-density electronic packaging. The most widely used TIMs are particle-filled composite materials, in which highly conductive particulate fillers are added into the polymer matrix to promote heat conduction. The numerical simulation of heat transfer in the composites is essential for the design of TIMs; however, the widely used finite element method (FEM) requires large memory and presents limited computational time for the composites with dense particles.

A meta-analysis of the safety and effectiveness of pemetrexed compared with gefitinib for pre-treated advanced or metastatic NSCLC.

Background: The purpose of the current meta-analysis was to compare the oncological outcomes of pemetrexed versus gefitinib in pre-treated advanced or metastatic non-small cell lung cancer (NSCLC) patients.

Methods: Search the online electronic databases on comparison the effectiveness and adverse effects of pemetrexed versus gefitinib in therapy outcomes of pre-treated NSCLC to September 2019. All studies analyzed the summary odds ratios (ORs) of the main outcomes, including survival efficacy and toxicity complications.

Design of Electrically Conductive Structural Composites by Modulating Aligned CVD-Grown Carbon Nanotube Length on Glass Fibers.

Function-integration in glass fiber (GF) reinforced polymer composites is highly desired for developing lightweight structures and devices with improved performance and structural health monitoring. In this study, homogeneously aligned carbon nanotube (CNT) shell was in situ grafted on GF by chemical vapor deposition (CVD). It was demonstrated that the CNT shell thickness and weight fraction can be modulated by controlling the CVD conditions.

Hyperbaric oxygen therapy in acute ischemic stroke: a review.

Stroke, also known as cerebrovascular disease, is a common and serious neurological disease, which is also the fourth leading cause of death in the United States so far. Hyperbaric medicine, as an emerging interdisciplinary subject, has been applied in the treatment of cerebral vascular diseases since the 1960s. Now it is widely used to treat a variety of clinical disorders, especially hypoxia-induced disorders.

[Clinical characterization and treatment of acute decompression sickness after group repeated dives].

Objective: To clinically characterize the divers who suffer from decompression sickness in group after diving, optimize therapeutic treatment settings for grouped patients where the conventional individualized treatment cannot be implemented.

Methods: Clinical parameters of patients such as age, professional seniority in dive, labor intensity, diving depth and their symptoms were statistically categorized to identify the factors that correlate with treatment efficacy and recurrence rate. In accordance with the symptoms and the reactions to pressure, 4 treatment programs were applied: Program A, Program B, Program C, Program D.

[Design of automatic monitoring for hyperbaric oxygen-cabins by using microcomputer].

This paper introduces a kind of union of hyperbaric oxygen-cabins and a microcomputer through which, the temperature measurement, the monitoring of oxygen concentration and air exchange are realized automatically with uniformly ascending voltage and static constant voltage.