Construction of Economical Campus Landscape Based on the School Cultural Characteristics: A Case of Southwest Petroleum University

The construction of campus landscape should adapt tothe type and nature of the school, especially reflectingthe school cultural characteristics and the humanityeducation. Taking the economical campus landscapedesign and planning of Southwest Petroleum Universityas an example, the paper describes that the collegecultural characteristics--oil and natural gas--is presentedby typical oilfield equipments, landscape or road names,and sculptures. This construction of campus landscapeindicates the campus culture is close-knit association withthe oil and natural gas industry. The implementations ofthe characterized campus landscape and road culture areof great significance in the construction of economicaland characteristic campus, as well as the reflection of theschool-running features in modern universities.Key words: Cultural characteristics; Economicalcampus landscape; Landscape desig

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis

Prior work on ideology prediction has largely focused on single modalities, i.e., text or images. In this work, we introduce the task of multimodal ideology prediction, where a model predicts binary or five-point scale ideological leanings, given a text-image pair with political content. We first collect five new large-scale datasets with English documents and images along with their ideological leanings, covering news articles from a wide range of US mainstream media and social media posts from Reddit and Twitter. We conduct in-depth analyses of news articles and reveal differences in image content and usage across the political spectrum. Furthermore, we perform extensive experiments and ablation studies, demonstrating the effectiveness of targeted pretraining objectives on different model components. Our best-performing model, a late-fusion architecture pretrained with a triplet objective over multimodal content, outperforms the state-of-the-art text-only model by almost 4% and a strong multimodal baseline with no pretraining by over 3%.Comment: EMNLP 202

Study on movement law of overburden strata and fracture zone height in deep mining work face

In order to accurately determine the location of fracture zone, optimize the design parameters of high-level boreholes, and improve the effect of gas drainage, take the No. 25030 working face of Xuehu Coal Mine, Henan Shenhuo Coal & Power Co., Ltd. as the research object to study the movement law of overburden strata in the working face. To determine the height of ‘vertical three zones’ of overburden strata by combining theoretical calculation, numerical simulation and field test. Through theoretical calculation, the maximum vertical height range of caving zone from coal seam roof is 5.5–9.2 m, and the maximum vertical height range of water flowing fractured zone from coal seam roof is 26.0–37.2 m. Through numerical simulation, the maximum height of the caving zone is 8.0 m from the roof, and the maximum height of the fracture zone is 27.0 m from the roof. Through field test, when the vertical height of the final borehole from the roof of the coal seam is 18.4–30.0 m, the gas concentration extracted by the borehole is generally high. When the vertical height of the borehole is 24.6–28.4 m from the coal seam roof, the gas concentration is in the peak area. The height distribution range of rock “vertical three zones” in Xuehu Mine No. 25030 working face obtained by three methods is roughly similar, and it is suggested to refer to the measured value in the design of goaf gas drainage. The test results show that the gas drainage effect is the best when the vertical distance from the coal seam roof is 24.6–28.4 m, and it is suggested that the high level boreholes should be arranged in this area

Crosstalk of RNA methylation writers defines tumor microenvironment and alisertib resistance in breast cancer

BackgroundThe five major RNA methylation modifications (m6A, m1A, m6Am, m5C, and m7G) exert biological roles in tumorigenicity and immune response, mediated mainly by “writer” enzymes. Here, the prognostic values of the “writer” enzymes and the TCP1 role in drug resistance in breast cancer (BC) were explored for further therapeutic strategies.MethodsWe comprehensively characterized clinical, molecular, and genetic features of subtypes by consensus clustering. RNA methylation modification “Writers” and related genes_risk (RMW_risk) model for BC was constructed via a machine learning approach. Moreover, we performed a systematical analysis for characteristics of the tumor microenvironment (TME), alisertib sensitivity, and immunotherapy response. A series of experiments in vitro were carried out to assess the association of TCP1 with drug resistance.ResultsOne “writer” (RBM15B) and two related genes (TCP1 and ANKRD36) were identified for prognostic model construction, validated by GSE1456, GSE7390, and GSE20685 cohorts and our follow-up data. Based on the patterns of the genes related to prognosis, patients were classified into RMW_risk-high and RMW_risk-low subtypes. Lower RMW_Score was associated with better overall survival and the infiltration of immune cells such as memory B cells. Further analysis revealed that RMW_Score presented potential values in predicting drug sensitivity and response for chemo- and immunotherapy. In addition, TCP1 was confirmed to promote BC alisertib-resistant cell proliferation and migration in vitro.ConclusionRMW_Score could function as a robust biomarker for predicting BC patient survival and therapeutic benefits. This research revealed a potential TCP1 role regarding alisertib resistance in BC, providing new sights into more effective therapeutic plans

Formation, Structural Characteristics and Emulsification Properties of Mung Bean Globulin Amyloid Fibrils

In this study, the structural evolution of mung bean globular amyloid fibrils (MBGFs) during the formation process was investigated with different acid-heat treatment times, and the emulsification properties of MBGFs were also explored at each stage of the formation process. The results showed that the subunits of mung bean globulin (MBG) were gradually degraded and hydrolyzed into fibrous structure units mainly composed of small peptides during 0–12 h of heating. And a large number of β-sheet structures were produced, and its relative content increased from an initial level of (18.28 ± 0.75)% to (53.61 ± 1.15)% over the 12 heating period. Enhanced fluorescence intensity was recorded after combination with thioflavin-T. Morphologically, MBGFs gradually became elongated and pliable, and oriented fibril aggregation occurred in the heating process. Between 16 and 24 h, the structure of mature MBGFs gradually was dissociated and the structural characteristics of the fibers were destroyed. The emulsification activity, emulsion stability, protein adsorption rate and interfacial protein content of MBGF were significantly improved compared with those of MBG. MBGFs formed by acid-heat treatment for 4 h had the best emulsification properties. Oil droplets in the MBGF emulsion were small in size, uniformly and orderly distributed, and the emulsion had the highest apparent viscosity and showed an elastic gel structure. In conclusion, different acid-heat treatment times had significant effects on the structure and emulsification properties of MBGFs, and MBGFs had better emulsification properties than MBG. This study will provide theoretical support for clarifying the formation of MBGFs and ideas for the development of highly efficient food-grade emulsifiers

Case report: Indocyanine green fluorescence-guided imaging in laparoscope, a more sensitive detection technique of lateral lymph nodes metastases from rectal neuroendocrine tumors

BackgroundThe diagnosis and surgical strategy of lateral lymph node metastases of rectal neuroendocrine tumors are still controversial. At present, the major diagnostic means rely on imaging examinations, but will be affected by the size of lymph nodes leading to false negativity. We provide a new technique to determine lateral lymph node metastases during surgery.Clinical caseA 68-year-old man developed abdominal pain, bloating and fever for a month. Colonoscopy revealed the mass is 2.4 cm x 2.0 cm in size, with a wide stratum, poor mobility, and a rough but intact surface mucosa. Therefore, rectal neuroendocrine tumors (R-NET) were diagnosed. Multiple imaging methods, such as CT, octreotide imaging and endoscopic ultrasonography, have not found lateral lymph node metastases from rectal neuroendocrine tumors. But indocyanine green (ICG)-enhanced near-infrared fluorescence-guided imaging during surgery found left lateral lymph nodes metastases, which was proved by postoperative pathological examination.ConclusionsWe believe that applying ICG-enhanced near-infrared fluorescence-guided imaging in laparoscope can improve the detection of positive LLNs in those R-NET patients who did not reveal LNM on imaging examinations

The LDBC Financial Benchmark

The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) is a new effort that defines a graph database benchmark targeting financial scenarios such as anti-fraud and risk control. The benchmark has one workload, the Transaction Workload, currently. It captures OLTP scenario with complex, simple read queries and write queries that continuously insert or delete data in the graph. Compared to the LDBC SNB, the LDBC FinBench differs in application scenarios, data patterns, and query patterns. This document contains a detailed explanation of the data used in the LDBC FinBench, the definition of transaction workload, a detailed description for all queries, and instructions on how to use the benchmark suite.Comment: For the source code of this specification, see the ldbc_finbench_docs repository on Githu