Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers and support engineers to monitor their systems and dissect anomalous behaviors and errors. The increasing scale and complexity of modern software systems, however, make the volume of logs explodes. In many cases, the traditional way of manual log inspection becomes impractical. Many recent studies, as well as industrial tools, resort to powerful text search and machine learning-based analytics solutions. Due to the unstructured nature of logs, a first crucial step is to parse log messages into structured data for subsequent analysis. In recent years, automated log parsing has been widely studied in both academia and industry, producing a series of log parsers by different techniques. To better understand the characteristics of these log parsers, in this paper, we present a comprehensive evaluation study on automated log parsing and further release the tools and benchmarks for easy reuse. More specifically, we evaluate 13 log parsers on a total of 16 log datasets spanning distributed systems, supercomputers, operating systems, mobile systems, server applications, and standalone software. We report the benchmarking results in terms of accuracy, robustness, and efficiency, which are of practical importance when deploying automated log parsing in production. We also share the success stories and lessons learned in an industrial application at Huawei. We believe that our work could serve as the basis and provide valuable guidance to future research and deployment of automated log parsing.

The formation of large, well-ordered crystals for crystallographic experiments remains a crucial bottleneck to the structural understanding of many important biological systems. To help alleviate this problem in crystallography, we have developed the MicroED method for the collection of electron diffraction data from 3D microcrystals and nanocrystals of radiation-sensitive biological material. In this approach, liquid solutions containing protein microcrystals are deposited on carbon-coated electron microscopy grids and are vitrified by plunging them into liquid ethane. MicroED data are collected for each selected crystal using cryo-electron microscopy, in which the crystal is diffracted using very few electrons as the stage is continuously rotated. This protocol gives advice on how to identify microcrystals by light microscopy or by negative-stain electron microscopy in samples obtained from standard protein crystallization experiments. The protocol also includes information about custom-designed equipment for controlling crystal rotation and software for recording experimental parameters in diffraction image metadata. Identifying microcrystals, preparing samples and setting up the microscope for diffraction data collection take approximately half an hour for each step. Screening microcrystals for quality diffraction takes roughly an hour, and the collection of a single data set is ~10 min in duration. Complete data sets and resulting high-resolution structures can be obtained from a single crystal or by merging data from multiple crystals.

Increasing evidence suggests that homeodomain-leucine zipper I (HD-Zip) I transcription factors play important roles in abiotic stress responses, but no HD-Zip I proteins have been reported in maize. Here, a drought-induced HD-Zip I gene, Zmhdz10, was isolated from maize and characterized for its role in stress responses. Real-time quantitative PCR showed that expression of Zmhdz10 was also induced by salt stress and ABA. Transient expression of Zmhdz10-green fluorescent protein (GFP) fusion proteins in onion cells showed a nuclear localization of Zmhdz10. Yeast hybrid assays demonstrated that Zmhdz10 has transactivation and DNA-binding activity in yeast cells. Overexpression of Zmhdz10 in rice led to enhanced tolerance to drought and salt stresses and increased sensitivity to ABA. Moreover, Zmhdz10 transgenic plants had lower relative electrolyte leakage (REL), lower malondialdehyde (MDA) and increased proline content relative to wild-type plants under stress conditions, which may contribute to enhanced stress tolerance. Zmhdz10 transgenic Arabidopsis plants also exhibited enhanced tolerance to drought and salt stresses that was concomitant with altered expression of stress/ABA-responsive genes, including Δ1-Pyrroline-5-carboxylate synthetase 1 (P5CS1), Responsive to dehydration 22 (RD22), Responsive to dehydration 29B (RD29B) and ABA-insensitive 1 (ABI1). Taken together, these results suggest that Zmhdz10 functions as a transcriptional regulator that can positively regulate drought and salt tolerance in plants through an ABA-dependent signaling pathway.

Reduction of graphene oxide at the nanoscale is an attractive approach to graphene-based electronics. Here we use a platinum-coated atomic force microscope tip to locally catalyse the reduction of insulating graphene oxide in the presence of hydrogen. Nanoribbons with widths ranging from 20 to 80 nm and conductivities of >104 S m−1 are successfully generated, and a field effect transistor is produced. The method involves mild operating conditions, and uses arbitrary substrates, atmospheric pressure and low temperatures (≤115 °C).

Plant homeodomain (PHD)-finger proteins were found universally in eukaryotes and known as key players in regulating transcription and chromatin structure. Many PHD-finger proteins have been well studied on structure and function in animals. Whereas, only a few of plant PHD-finger factors had been characterized, and majority of PHD-finger proteins were functionally unclear. In this study, a complete comprehensive analysis of maize PHD family is presented. Sixty-seven PHD-finger genes in maize were identified and further divided into ten groups according to phylogenetic analysis that was supported by motif and intron/exon analysis. These genes were unevenly distributed on ten chromosomes and contained 12 segmental duplication events, suggesting that segmental duplications were the major contributors in expansion of the maize PHD family. The paralogous genes mainly experienced purifying selection with restrictive functional divergence after the duplication events on the basis of the Ka/Ks ratio. Gene digital expression analysis showed that the PHD family had a wide expression profile in maize development. In addition, 15 potential stress response genes were detected by promoter cis-element and expression analysis. Two proteins ZmPHD14 and ZmPHD19 were located in the nucleus. These results provided a solid base for future functional genome study of the PHD-finger family in maize and afforded important clues for characterizing and cloning potentially important candidates in response to abiotic stresses.

Modified TTIF can be an effective treatment method of multilevel noncontiguous thoracic spinal tuberculosis.

Purpose To investigate the clinical efficacy and feasibility of one-stage surgical treatment for upper thoracic spinal tuberculosis by internal fixation, debridement, and combined interbody and posterior fusion via a posterioronly approach. Methods Fourteen patients (eight males, six females) with upper thoracic tuberculosis whose lesions were confined to two adjacent segments were admitted to our hospital. Their ages ranged from 23 to 72 years (average, 50 years). The American Spinal Injury Association (ASIA) impairment scale was used to assess neurological function. ASIA classification showed that preoperatively, one patient was grade A, two patients were grade B, eight patients were grade C, and three patients were grade D. All patients were treated with one-stage surgical treatment by internal fixation, debridement, and combined interbody and posterior fusion via a posterior-only approach. Patients were evaluated preoperatively and postoperatively by measurement of thoracic kyphotic angles using Cobb angle evaluation, determination of erythrocyte sedimentation rate (ESR), evaluation of ASIA impairment scale, and radiological examination. Results Operation time ranged from 70 to 135 min, (average, 110 min). Intraoperative blood loss ranged from 200 to 950 mL (average, 450 mL). All patients were followed up for 22 to 48 months postoperatively (average, 31.5 months). No sinus tract formation, cerebrospinal meningitis, or recurrence of tuberculosis occurred. All patients had significant postoperative improvement in ASIA classification scores. The thoracic kyphotic angles were significantly decreased to 12°-26°postoperatively, and at final follow-up were 13°-28°. The ESR recovered to normal within 6 months postoperatively in all patients. Bone fusion was achieved within 3-8 months (average, 5.5 months). Conclusions One-stage surgical treatment for upper thoracic spinal tuberculosis by internal fixation, debridement, and combined interbody and posterior fusion via a posterior-only approach can be an effective and feasible treatment method.

We propose a new approach to fabricate the graphene nanomesh through the local catalytic hydrogenation of carbon by Cu nanoparticles. It allows to tune the size and density of the holes in the nanomesh as well as the total edge length of the holes through the control of the thickness of the Cu film. The upshift of both G and 2D peaks in Raman spectra of the graphene nanomeshes indicates that the nanomesh is spontaneously p-type doped. Moreover, the split of G peak reveals that the doping is localized near the edge region of the hole in the nanomesh. Importantly, the nanomesh shows improved chemical enhancement for Raman spectra of absorbed RhB molecules as compared to the graphene. The edges in the nanomesh can enhance Raman spectroscopy via increasing both the local charge transfer and the ability to absorb RhB molecules. The results show that the graphene nanomesh has a great potential for the rapid and sensitive detection for the environmental monitoring and food security.