The influence of service performance in China's sci-tech commissioner system: Using social network analysis and interpretable machine learning.

The Sci-Tech Commissioner System (SCS) is a result of exploratory efforts by the Chinese government to use science and technology to strengthen the agricultural sector. Social network analysis (SNA) and machine learning (ML) techniques make it feasible to assess the service performance in China's SCS by using indicators such as group types and structure features. In this study, SNA and a clustering algorithm were employed to categorize service group types of sci-tech commissioners. By comparing the accuracy of different classification algorithms in predicting the clustering results, LightGBM algorithm was finally select to determine the clustering features of sci-tech commissioners and establish an interpretable ML model. Then, the SHAP was used to algorithm to analyze influences affecting service performance. Results show that the service forms of sci-tech commissioners are group-oriented, and that group types include small groups of young commissioners with close cooperation, larger groups of young and middle-aged commissioners, small groups of middle-aged and old commissioners with close cooperation, and isolated points of highly-influential commissioners. Furthermore, while group size is not the determinant of a commissioner's average performance, group structure and coordination ability were found to be more critical. Moreover, while differences in distinct types of service performance are caused by various factors, but good group structures and extensive social contacts are essential for high service performance.

Rational design of a setaria-like NiTe2/MoS2 semi-coherent heterogeneous interface for enhancing diffusion kinetics in potassium-ion batteries.

Constructing unique heterostructures is a highly effective approach for enhancing the K+ storage capability of transition metal selenides. Such structures generate internal electric fields that significantly reduce the charge transfer activation energy. However, achieving a flawless interfacial region that maintains the optimal energy level gradient and degree of lattice matching remains a considerable challenge. In this study, we synthesised Setaria-like NiTe2/MoS2@C heterogeneous interfaces at which three-dimensional MoS2 nanosheets are evenly embedded in NiTe2 nanorods to form stabilised heterojunctions. The NiTe2/MoS2 heterojunctions display distinctive electronic configurations and several active sites owing to their low lattice misfits (δ = 13 %), strong electric fields, and uniform carbon shells. A NiTe2/MoS2@C anode in a potassium-ion battery (KIB) exhibited an impressive reversible capacity of 125.8 mAh/g after 1000 cycles at a rate of 500 mA g-1 and a stable reversible capacity of 111.7 mAh/g even after 3000 cycles at 1000 mA g-1. Even the NiTe2/MoS2@C//perylene tetracarboxylic dianhydride full battery configuration maintained a significant reversible capacity of 92.4 mAh/g after 100 cycles at 200 mA g-1, highlighting its considerable potential for application in KIBs. Calculations further revealed that the well-designed NiTe2/MoS2 heterojunction significantly promotes K+ ion diffusion.

Difunctional Ag nanoparticles with high lithiophilic and conductive decorate on core-shell SiO2 nanospheres for dendrite-free lithium metal anodes.

Lithium metal is an attractive and promising anode material due to its high energy density and low working potential. However, the uncontrolled growth of lithium dendrites during repeated plating and stripping processes hinders the practical application of lithium metal batteries, leading to low Coulombic efficiency, poor lifespan, and safety concerns. In this study, we synthesized highly lithiophilic and conductive Ag nanoparticles decorated on SiO2 nanospheres to construct an optimized lithium host for promoting uniform Li deposition. The Ag nanoparticles not only act as lithiophilic sites but also provide high electrical conductivity to the Ag@SiO2@Ag anode. Additionally, the SiO2 layer serves as a lithiophilic nucleation agent, ensuring homogeneous lithium deposition and suppressing the growth of lithium dendrites. Theoretical calculations further confirm that the combination of Ag nanoparticles and SiO2 effectively enhances the adsorption ability of Ag@SiO2@Ag with Li+ ions compared to pure Ag and SiO2 materials. As a result, the Ag@SiO2@Ag coating, with its balanced lithiophilicity and conductivity, demonstrates excellent electrochemical performance, including high Coulombic efficiency, low polarization voltage, and long cycle life. In a full lithium metal cell with LiFePO4 cathode, the Ag@SiO2@Ag anode exhibits a high capacity of 133.1 and 121.4 mAh/g after 200 cycles at rates of 0.5 and 1C, respectively. These results highlight the synergistic coupling of lithiophilicity and conductivity in the Ag@SiO2@Ag coating, providing valuable insights into the field of lithiophilic chemistry and its potential for achieving high-performance batteries in the next generation.

Follow-up analysis and histopathological study of gastric mucosa in patients with Helicobacter pylori infection.

OBJECTIVE: To investigate the histomorphological characteristics of the gastric mucosa and the prognosis in patients with Helicobacter pylori infection. METHODS: Progressive damage to the gastric mucosa was examined by immunohistochemistry in 2294 patients with H. pylori infection and follow-up information was analyzed. RESULTS: H. pylori initially colonized the mucus layer covered by the gastric mucosa epithelium, then selectively adhered to and destroyed the surface mucus cells causing intra-gastric and extra-gastric lesions. Gastric mucosal damage induced by H. pylori was divided into five stages according to the depth of H. pylori invasion and degree of lesion deterioration: mucilaginous, surface mucocellular, lamina propria lesion, mucosal atrophy, and intraepithelial neoplasia stages. Morphological follow-up analysis revealed no significant difference in 6-month curative effects between stage I and stage II, but significant differences were found between stages II and III, stages III and IV, and between stages IV and stage V, respectively. CONCLUSIONS: This novel staging strategy may be a valuable tool for diagnosing and predicting the results of gastric mucosal damage induced by H. pylori infection.

First Report of Pectobacterium parmentieri Causing Blackleg on Potato in Inner Mongolia, China.

Blackleg on potato plants (Solanum tuberosum) is caused by Pectobacterium spp. and Dickeya spp. (Charkowski, 2018) worldwide. From June to August in both 2018 and 2019, cases of blackleg were investigated in potato-producing areas in Hulunbuir, Ulanqab, and Hohhot in Inner Mongolia, China. The total surveyed field area was about 200 hectares. The plants showed typical blackleg symptoms, such as black and stunted stems or curled leaves (Fig. S1), and the number of infected plants were counted. The disease showed an incidence of around 8%. Five diseased plants were collected from a 10 ha potato field with approximately 75,000 potato plants (cv. mainly Favorita and Xisen) per hectare. Two-centimeter-long samples of symptomatic stems were removed from the selected plants using a sterile scalpel. The surfaces of the samples were disinfected with 75% ethanol for 2 min. They were then rinsed with sterile distilled water and soaked in 5 ml sterile distilled water for 30 min. Aliquots of three tenfold dilutions of this solution were plated onto the crystal violet pectate agar (CVP) plate and incubated for 3 days at 28°C (Ge et al., 2018). A single bacterial colony that showed pitting on CVP plates (Fig. S2) was picked with a toothpick, streaked onto nutritional agar (She et al., 2013) to obtain pure colonies. Amplification of a 1.4-kb segment containing 16S rRNA gene was performed on the pure colonies using the universal primer set 27F/1492R (Monciardini et al., 2002). The amplicons were sequenced and submitted to the GenBank Nucleotide Basic Local Alignment Search Tool analysis. The 16S rRNA gene sequences of four isolates (GenBank accession numbers: MN626412, MN626449, MN625916, and MT235556) showed more than 99% sequence identity to Pectobacterium parmentieri type strain RNS 08-42-1A (NR_153752.1) (Fig. S3). Six housekeeping genes proA (MT427753-MT427756), gyrA (MT427757-MT427760), icdA (MT427761-MT427764), mdh (MT427765-MT427768), gapA (MT427769-MT427772), and rpoS (MT427773-MT427776) of these four isolates were amplified and sequenced (Ma et al., 2007, Waleron et al., 2008). All sequences showed 99% to 100% sequence identity with Pectobacterium parmentieri strains. Phylogenetic trees (Fig. S4) were constructed by multi-locus sequence analysis (MLSA) using MEGA 6.0 software (Tamura et al., 2013). The samples were tested against Koch's postulates on potato seedlings (cv. Favorita) by injecting 100 µl bacterial suspension (107 CFU/ml) or sterile phosphate buffered solution into the stems 2 cm above the base (Ge et al., 2018). The seedlings were incubated at 21°C and 80% humidity (She et al., 2013). Three to 5 days after inoculation, only infected seedlings showed similar symptoms as those observed in the field: the infected area turned black and rotten (Fig. S5). Bacterial colonies isolated from these symptomatic seedlings were identified using the same methods described above and were identified as inoculated Pectobacterium parmentieri strains. Blackleg on potato plants has been reported to be caused by Pectobacterium atrosepticum, Pectobacterium carotovorum subsp. carotovorum, and Pectobacterium carotovorum subsp. brasiliense in China (Zhao et al., 2018). To our knowledge, this is the first report of blackleg of potato caused by Pectobacterium parmentieri in Inner Mongolia, China. We believe that this report will draw attention to the identification of this pathogen, which is essential to disease management.

New Functionalized Ionic Liquids Based on POSS for the Detection of Fe3+ Ion.

This study reports a novel series of imidazolium ionic liquids (ILs) based on polyhedral oligomeric silsesquioxanes (POSS) towards effective detection of metal ions, especially Fe3+ ion. 1H, 13C, 29Si NMR, high resolution mass spectra (HRMS) and Fourier transform infrared spectra (FTIR) were applied to confirm the structures of the ILs based on POSS (ILs-POSS). The three ILs-POSS were synthesized via a green chemistry approach-a thiol-ene "click" reaction without metal ions as catalysts. Furthermore, the spherical vesicle structures of the ILs-POSS were observed and caused by self-assembly behaviors. Through comprehensive characterizations, these ILs-POSS have performed excellent thermal stabilities and low glass transition temperatures. In addition, we found it very meaningful that the limits of detection (LODs) of the three ILs-POSS for the detection of the Fe3+ ion were 7.91 × 10-8 M, 1.2 × 10-7 M, and 1.2 × 10-7 M, respectively. These data illustrate that these ILs-POSS have great potential for the detection of the Fe3+ ion. In conclusion, this study not only prepared novel ILs-POSS, but also provided new materials as fluorescent sensors in the detection of Fe3+.

The efficacy of parenteral fish oil in critical illness patients with sepsis: a prospective, non-randomized, observational study.

BACKGROUND AND OBJECTIVES: To investigate the clinical outcomes in septic patients receiving parenteral fish oil. METHODS AND STUDY DESIGN: A prospective, non-randomized, observational clinical study was carried out in 112 patients with sepsis from March, 2013 to May, 2015 in the surgical intensive care unit (SICU) of a tertiaryreferral hospital. The patients were put into one of two groups; either the control or the study group. Patients received the standard treatment of sepsis based on guidelines in the control group. In the study group, patients received parenteral nutrition (PN) containing fish oil. The Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, the length of ICU and hospital stay, duration of mechanical ventilation, mortality, and readmission into the ICU were recorded. Tumor necrosis factor (TNF)-α and procalcitonin (PCT) levels were also evaluated. RESULTS: The study group showed a significant reduction for all-cause mortality (20.0% vs 10.0% in study and control groups, p=0.034) and APACHE II score on day 5 (p=0.015), day 7 (p=0.036) and day out of SICU (p=0.045) compared with the control group. The study group tended to show a shortened length of stay in the ICU compared to the control group. However, TNF-α and PCT level, 28 d mortality, the length of hospital stay and the duration of mechanical ventilation did not show statistical differences between the two groups. There were no drug-related adverse effects shown during the study. CONCLUSIONS: PN with fish oil is probably safe and may improve clinical outcome in critical ill patients with sepsis.

New Polyhedral Oligomeric Silsesquioxanes-Based Fluorescent Ionic Liquids: Synthesis, Self-Assembly and Application in Sensors for Detecting Nitroaromatic Explosives.

In this paper, two different models of hybrid ionic liquids (ILs) based on polyhedral oligomeric silsesquioxanes (POSSs) have been prepared. Additionally, these ILs based on POSSs (ILs-POSSs) exhibited excellent thermal stabilities and low glass transition temperatures. ¹H, 13C, and 29Si nuclear magnetic resonance (NMR) spectroscopy, Fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD) were used to confirm the structures of the IL-POSSs. Furthermore, the spherical vesicle structures of two IL-POSSs were observed and were caused by self-assembly behaviors. In addition, we found it very meaningful that these two ILs showed lower detection limits of 2.57 × 10-6 and 3.98 × 10-6 mol/L for detecting picric acid (PA). Moreover, the experimental data revealed that the products have high sensitivity for detecting a series of nitroaromatic compounds-including 4-nitrophenol, 2,4-dinitrophenol, and PA-and relatively comprehensive explosive detection in all of the tests of IL-POSSs with nitroaromatic compounds thus far. Additionally, the data indicate that these two new ILs have great potential for the detection of explosives. Therefore, our work may provide new materials including ILs as fluorescent sensors in detecting nitroaromatic explosives.

[Acquirement and evaluation of murine ventricular extracellular matrix].

Cardiac extracellular matrix (ECM), generated from the process of decellularization, has been widely considered as an ideal source of biological scaffolds. However, current ECM preparations are generally difficult to be applied to generate cardiac tissue. Our research was aimed to improve decellularization protocols to prepare cardiac ECM slices. Adult murine ventricular tissues were embedded in low melting agarose and cut into 300 µm slices, and then were divided randomly into three groups: normal cardiac tissue, SDS treated group (0.1% SDS) and SDS+Triton X-100 treated group (0.1% SDS+0.5% Triton X-100). Total RNA content and protein content quantification, HE staining and immunostaining were used to evaluate the removal of cell components and preservation of vital ECM components. Furthermore, murine embryonic stem cell-derived cardiomyocytes (mES-CMs) and mouse embryonic fibroblasts (MEFs) were co-cultured with ECM slices to evaluate biocompatibility. The relative residual RNA and protein contents of ECM slices significantly decreased after decellularization. HE staining showed that SDS+Triton X-100 treatment better destroyed cellular structure and removed nuclei of ECM slices, compared with SDS treatment. Immunostaining showed that collagen IV and laminin were better preserved and presented better similarity to original cardiac tissue in ECM slices acquired by SDS+Triton X-100 treatment. However, collagen IV and laminin were significantly decreased and arranged disorderly in SDS treated group. We observed effective survival (≥ 12 days) of MEFs and mES-CMs on ECM slices acquired by SDS+Triton X-100 treatment, and signs of integration, whereas those signs were not found in SDS treated group. We concluded that, compared with traditional SDS method, new combined protocol (SDS+Triton X-100) generated ECM slices with better component and structural preservation, as well as better biocompatibility.

YGA: identifying distinct biological features between yeast gene sets.

The advance of high-throughput experimental technologies generates many gene sets with different biological meanings, where many important insights can only be extracted by identifying the biological (regulatory/functional) features that are distinct between different gene sets (e.g. essential vs. non-essential genes, TATA box-containing vs. TATA box-less genes, induced vs. repressed genes under certain biological conditions). Although many servers have been developed to identify enriched features in a gene set, most of them were designed to analyze one gene set at a time but cannot compare two gene sets. Moreover, the features used in existing servers were mainly focused on functional annotations (GO terms), pathways, transcription factor binding sites (TFBSs) and/or protein-protein interactions (PPIs). In yeast, various important regulatory features, including promoter bendability, nucleosome occupancy, 5'-UTR length, and TF-gene regulation evidence, are available but have not been used in any enrichment analysis servers. This motivates us to develop the Yeast Genes Analyzer (YGA), a web server that simultaneously analyzes various biological (regulatory/functional) features of two gene sets and performs statistical tests to identify the distinct features between them. Many well-studied gene sets such as essential, stress-response, TATA box-containing and cell cycle genes were pre-compiled in YGA for users, if they have only one gene set, to compare with. In comparison with the existing enrichment analysis servers, YGA tests more comprehensive regulatory features (e.g. promoter bendability, nucleosome occupancy, 5'-UTR length, experimental evidence of TF-gene binding and TF-gene regulation) and functional features (e.g. PPI, GO terms, pathways and functional groups of genes, including essential/non-essential genes, stress-induced/-repressed genes, TATA box-containing/-less genes, occupied/depleted proximal-nucleosome genes and cell cycle genes). Furthermore, YGA uses various statistical tests to provide objective comparison measures. The two major contributions of YGA, comprehensive features and statistical comparison, help to mine important information that cannot be obtained from other servers. The sophisticated analysis tools of YGA can identify distinct biological features between two gene sets, which help biologists to form new hypotheses about the underlying biological mechanisms responsible for the observed difference between these two gene sets. YGA can be accessed from the following web pages: http://cosbi.ee.ncku.edu.tw/yga/ and http://yga.ee.ncku.edu.tw/.