(Ga, Al)-H-MFI Catalysts with Highly Dispersed Ga Sites and Proximal Protonic Sites Enable Methane-Propane Coaromatization.

Methane-propane coaromatization (MPCA) upgrades two abundant and inexpensive light alkanes into value-added aromatic products. While Ga-loaded MFI zeolites represent by far the most promising catalysts for MPCA reaction, they often contain a sizable portion of Ga species at the external surface of zeolites, which are remote from the Brønsted acid sites (BAS) within MFI pores and thus inefficient for MPCA. Here, we show that Ga can be introduced into MFI pores at fairly high loadings via a simple cocrystallization approach, yielding catalysts possessing well-dispersed Ga sites predominantly residing inside the pores and framework.

A systematic evaluation of computational methods for cell segmentation.

Cell segmentation is a fundamental task in analyzing biomedical images. Many computational methods have been developed for cell segmentation and instance segmentation, but their performances are not well understood in various scenarios. We systematically evaluated the performance of 18 segmentation methods to perform cell nuclei and whole cell segmentation using light microscopy and fluorescence staining images.

A systematic evaluation of computational methods for cell segmentation.

Cell segmentation is a fundamental task in analyzing biomedical images. Many computational methods have been developed for cell segmentation and instance segmentation, but their performances are not well understood in various scenarios. We systematically evaluated the performance of 18 segmentation methods to perform cell nuclei and whole cell segmentation using light microscopy and fluorescence staining images.

Role of metabolic equivalent between calcium intake and vertebral fractures: a cross-sectional study of NHANES 2013-2014.

Background: This study was to analyze the association of calcium intake and metabolic equivalent (MET) with vertebral fractures, and to explore the role of MET between calcium intake and vertebral fractures.

Method: This cross-sectional study used data from the National Health and Nutrition Examination Surveys (NHANES) 2013-2014. The study involved individuals aged ≥ 50 years old with complete information on vertebral fracture, calcium intake, and physical activity.

Multi-View Subspace Clustering via Structured Multi-Pathway Network.

Recently, deep multi-view clustering (MVC) has attracted increasing attention in multi-view learning owing to its promising performance. However, most existing deep multi-view methods use single-pathway neural networks to extract features of each view, which cannot explore comprehensive complementary information and multilevel features. To tackle this problem, we propose a deep structured multi-pathway network (SMpNet) for multi-view subspace clustering task in this brief.

Adversarial Multiview Clustering Networks With Adaptive Fusion.

The existing deep multiview clustering (MVC) methods are mainly based on autoencoder networks, which seek common latent variables to reconstruct the original input of each view individually. However, due to the view-specific reconstruction loss, it is challenging to extract consistent latent representations over multiple views for clustering. To address this challenge, we propose adversarial MVC (AMvC) networks in this article.

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding.

In this study, we propose a novel algorithm to encode the cluster structure by incorporating ensemble clustering (EC) into subspace clustering (SC). First, the low-rank representation (LRR) is learned from a higher order data relationship induced by ensemble K-means coding, which exploits the cluster structure in a co-association matrix of basic partitions (i.e.

Impacts of Nitrogen Deficiency on Wheat ( L.) Grain During the Medium Filling Stage: Transcriptomic and Metabolomic Comparisons.

Nitrogen (N) supplementation is essential to the yield and quality of bread wheat ( L.). The impact of N-deficiency on wheat at the seedling stage has been previously reported, but the impact of distinct N regimes applied at the seedling stage with continuous application on filling and maturing wheat grains is lesser known, despite the filling stage being critical for final grain yield and flour quality.

Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding.

Subspace clustering is a popular method to discover underlying low-dimensional structures of high-dimensional multimedia data (e.g., images, videos, and texts).

Geometrically Editable Face Image Translation With Adversarial Networks.

Recently, image-to-image translation has received increasing attention, which aims to map images in one domain to another specific one. Existing methods mainly solve this task via a deep generative model that they focus on exploring the bi-directional or multi-directional relationship between specific domains. Those domains are often categorized by attribute-level or class-level labels, which do not incorporate any geometric information in learning process.

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.

Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research attention in recent years, among which, multi-view clustering (MVC) forms a mainstream research direction and is widely used in data analysis. However, existing MVC methods mainly assume that each sample appears in all the views, without considering the incomplete view case due to data corruption, sensor failure, equipment malfunction, etc. In this study, we design and build a generative partial multi-view clustering model with adaptive fusion and cycle consistency, named as GP-MVC, to solve the incomplete multi-view problem by explicitly generating the data of missing views.

Learnable Subspace Clustering.

This article studies the large-scale subspace clustering (LSC) problem with millions of data points. Many popular subspace clustering methods cannot directly handle the LSC problem although they have been considered to be state-of-the-art methods for small-scale data points. A simple reason is that these methods often choose all data points as a large dictionary to build huge coding models, which results in high time and space complexity.

Isolation of novel Lactobacillus with lipolytic activity from the vinasse and their preliminary potential using as probiotics.

Lactobacillus casei f1, L. paracasei f2 and L. paracasei f3 with lipolytic activity were isolated and identified from vinasses according to the morphological-physiological properties detection and 16S rDNA analysis.

Multi-View Saliency-Guided Clustering for Image Cosegmentation.

Image cosegmentation aims at extracting the common objects from multiple images simultaneously. Existing methods mainly solve cosegmentation via the pre-defined graph, which lacks flexibility and robustness to handle various visual patterns. Besides, similar backgrounds also confuse the identifying of the common foreground.

Marginalized Multiview Ensemble Clustering.

Multiview clustering (MVC), which aims to explore the underlying cluster structure shared by multiview data, has drawn more research efforts in recent years. To exploit the complementary information among multiple views, existing methods mainly learn a common latent subspace or develop a certain loss across different views, while ignoring the higher level information such as basic partitions (BPs) generated by the single-view clustering algorithm. In light of this, we propose a novel marginalized multiview ensemble clustering (MVEC) method in this paper.

The relationship between serum fibrinogen-like protein 2 concentrations and 30-day mortality of patients with traumatic brain injury.

Background: Fibrinogen-like protein 2 (FGL2) is an inflammatory procoagulant protein. We discerned the impact of serum FGL2 on trauma severity and 30-day mortality in patients with traumatic brain injury (TBI).

Methods: A total of 114 severe TBI patients were subjected to assessment of trauma severity using the Glasgow coma scale (GCS).

Adversarial Action Prediction Networks.

Different from after-the-fact action recognition, action prediction task requires action labels to be predicted from partially observed videos containing incomplete action executions. It is challenging because these partial videos have insufficient discriminative information, and their temporal structure is damaged. We study this problem in this paper, and propose an efficient and powerful deep network for learning representative and discriminative features for action prediction.

The Pathogenesis of Subacute Subdural Hematoma: A Report of 3 Cases and Literature Review.

Objective: To discuss the pathologic mechanism of subacute subdural hematoma (sASDH).

Methods: Three typical cases of sASDH were reported, and related literature in Chinese published in the past 15 years was reviewed.

Results: Intervals from onset of acute subdural hematoma to surgery or symptom deterioration resulting in sASDH were 12.

Subdural Abnormal Communicating Vessel in Chronic Subdural Hematoma.

Traditionally, lacerations of bridging vessels were surmised to cause chronic subdural hematoma (CSDH), although neither observation studies nor medical research was able to testify this. Nowadays, an inflammatory process is known to take place in the development of CSDH. Of note, post-traumatic angiogenesis at its early stage also features inflammation with immune cell infiltration.

Partition Level Constrained Clustering.

Constrained clustering uses pre-given knowledge to improve the clustering performance. Here we use a new constraint called partition level side information and propose the Partition Level Constrained Clustering (PLCC) framework, where only a small proportion of the data is given labels to guide the procedure of clustering. Our goal is to find a partition which captures the intrinsic structure from the data itself, and also agrees with the partition level side information.

[Spectral Characteristics of Spring Maize Varieties with Different Heat Tolerance to High Temperature].

This paper discussed the response of spectral characteristics on high temperature at grain filling stage of different spring maize varieties by adopting two spectrometer (SPAD-502 Chlorophyll Meter and Sunscan Plant Canopy Analyzer), and analyzed the impact of high temperature on the photosynthetic properties of spring maize in North China Plain. The test was conductedfrom the year 2011 to 2012 in Wuqiao County, Hebei Province. This test chose three different varieties, i.

Aspiration of coagulated hematoma in the third and fourth ventricles via paracele anterior horn puncture.

Intraventricular hemorrhage (IVH) is a neurological urgency with a high mortality and unfavorable prognosis. Fast removal of intraventricular blood should be considered as a priority. The current treatments of IVH mainly focus on external ventricular drain and endoscopic aspiration, but neither way can remove the blood in the fourth ventricle easily and relieve the compression of brainstem.

Mechanism of subdural effusion evolves into chronic subdural hematoma: IL-8 inducing neutrophil oxidative burst.

Chronic subdural hematoma (CSDH) is still a mysterious disease. Though great success has been has achieved by neuro-surgery treatment, the origin and development of CSDH remains unknown. Tremendous clinical observations have found the correlation of subdural effusion (SDE) and CSDH.

Delayed Hypersensitive Process in Subacute Subdural Hematoma.

The authors report 2 patients with subacute subdural hematoma (sASDH). An inflammatory process is known to be involved in the development of traumatic subdural effusion (TSE) evolving into chronic subdural hemorrhage (CSDH), but a similar event has not been previously described in acute subdural hematoma (ASDH) evolving into sASDH. In our cases, dexamethasone (DXM) and other conservative treatments were administered to our first patient with dramatic clinical outcome, and a postoperative pathologic examination of the neomembrane of the sASDH in the second patient was done, which showed marked inflammatory process with T-lymphocytes and neutrophils infiltration.