Research on Techniques and Methods of 3D Laser Scanning Monitoring Coal Mining Subsidence

In this paper the author discusses the techniques and methods of monitoring coal mining subsidence using 3D laser scanning, respectively discusses data acquiring, data preprocessing, 3D modeling, data analysis, and damage forecasting. The author points out that DTMs are the foundation of data analysis and damage forecasting, the data of every period can build three kinds of DTM: Point cloud surface model, irregular triangular mesh surface model and regular grid surface model. Variation of elevation direction can be calculated through regular grid surface models, and variation of horizontal direction can be calculated through irregular triangular mesh surface models, combine variation in elevation direction and in horizontal direction, the regularity for change of the ground surface can be deduced and the variation in the future also can be forecasted. The aim of constructing point cloud model is to quest regularity for change of ground surface from another viewpoint.特集 : 「資源、新エネルギー、環境、防災研究国際セミナー

OpenFE: Automated Feature Generation beyond Expert-level Performance

The goal of automated feature generation is to liberate machine learning experts from the laborious task of manual feature generation, which is crucial for improving the learning performance of tabular data. The major challenge in automated feature generation is to efficiently and accurately identify useful features from a vast pool of candidate features. In this paper, we present OpenFE, an automated feature generation tool that provides competitive results against machine learning experts. OpenFE achieves efficiency and accuracy with two components: 1) a novel feature boosting method for accurately estimating the incremental performance of candidate features. 2) a feature-scoring framework for retrieving effective features from a large number of candidates through successive featurewise halving and feature importance attribution. Extensive experiments on seven benchmark datasets show that OpenFE outperforms existing baseline methods. We further evaluate OpenFE in two famous Kaggle competitions with thousands of data science teams participating. In one of the competitions, features generated by OpenFE with a simple baseline model can beat 99.3\% data science teams. In addition to the empirical results, we provide a theoretical perspective to show that feature generation is beneficial in a simple yet representative setting. The code is available at https://github.com/ZhangTP1996/OpenFE.Comment: 23 pages, 3 figure

Periplasmic biomineralization for semi-artificial photosynthesis

Semiconductor-based biointerfaces are typically established either on the surface of the plasma membrane or within the cytoplasm. In Gram-negative bacteria, the periplasmic space, characterized by its confinement and the presence of numerous enzymes and peptidoglycans, offers additional opportunities for biomineralization, allowing for nongenetic modulation interfaces. We demonstrate semiconductor nanocluster precipitation containing single- and multiple-metal elements within the periplasm, as observed through various electron- and x-ray-based imaging techniques. The periplasmic semiconductors are metastable and display defect-dominant fluorescent properties. Unexpectedly, the defect-rich (i.e., the low-grade) semiconductor nanoclusters produced in situ can still increase adenosine triphosphate levels and malate production when coupled with photosensitization. We expand the sustainability levels of the biohybrid system to include reducing heavy metals at the primary level, building living bioreactors at the secondary level, and creating semi-artificial photosynthesis at the tertiary level. The biomineralization-enabled periplasmic biohybrids have the potential to serve as defect-tolerant platforms for diverse sustainable applications

Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data.

Telomere length is a risk factor in disease and the dynamics of telomere length are crucial to our understanding of cell replication and vitality. The proliferation of whole genome sequencing represents an unprecedented opportunity to glean new insights into telomere biology on a previously unimaginable scale. To this end, a number of approaches for estimating telomere length from whole-genome sequencing data have been proposed. Here we present Telomerecat, a novel approach to the estimation of telomere length. Previous methods have been dependent on the number of telomeres present in a cell being known, which may be problematic when analysing aneuploid cancer data and non-human samples. Telomerecat is designed to be agnostic to the number of telomeres present, making it suited for the purpose of estimating telomere length in cancer studies. Telomerecat also accounts for interstitial telomeric reads and presents a novel approach to dealing with sequencing errors. We show that Telomerecat performs well at telomere length estimation when compared to leading experimental and computational methods. Furthermore, we show that it detects expected patterns in longitudinal data, repeated measurements, and cross-species comparisons. We also apply the method to a cancer cell data, uncovering an interesting relationship with the underlying telomerase genotype

Publisher Correction: Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data.

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GWAS meta-analysis of intrahepatic cholestasis of pregnancy implicates multiple hepatic genes and regulatory elements

Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disorder affecting 0.5–2% of pregnancies. The majority of cases present in the third trimester with pruritus, elevated serum bile acids and abnormal serum liver tests. ICP is associated with an increased risk of adverse outcomes, including spontaneous preterm birth and stillbirth. Whilst rare mutations affecting hepatobiliary transporters contribute to the aetiology of ICP, the role of common genetic variation in ICP has not been systematically characterised to date. Here, we perform genome-wide association studies (GWAS) and meta-analyses for ICP across three studies including 1138 cases and 153,642 controls. Eleven loci achieve genome-wide significance and have been further investigated and fine-mapped using functional genomics approaches. Our results pinpoint common sequence variation in liver-enriched genes and liver-specific cis-regulatory elements as contributing mechanisms to ICP susceptibility

Preparation of graphene/inorganic nanoparticle composites and their application in biomedical field

Graphene has caused a wide range of research booms due to its unique structure and excellent performance.With the deepening of research,graphene/inorganic nanoparticle composites have become a new hotspot in the field of materials research.The field of biomedicine is an important research direction of graphene/inorganic nanoparticle composites.Several preparation methods of current graphene/inorganic nanoparticle composites are briefly described,and their application progress in biomedical field is highlighted

Dynamic channel allocation for mobile cellular systems using a control theoretical approach

The guard channel scheme in wireless mobile networks has attracted and is still drawing research interest owing to easy implementation and flexible control. Dynamic guard channel schemes have already been proposed in the literature to adapt to varying traffic load. This paper presents a novel control-theoretic approach to dynamically reserve guard channels called PI-Guard Channel (PI-GC) controller that maintains the handoff blocking probability (HBP) to a predefined value; while it still improves the channel resource utilization

Mobishare: Flexible privacy-preserving location sharing in mobile online social networks

Abstract—Location sharing is a fundamental component of mobile online social networks (mOSNs), which also raises significant privacy concerns. The mOSNs collect a large amount of location information over time, and the users ’ location privacy is compromised if their location information is abused by adversaries controlling the mOSNs. In this paper, we present MobiShare, a system that provides flexible privacy-preserving location sharing in mOSNs. MobiShare is flexible to support a variety of location-based applications, in that it enables location sharing between both trusted social relations and untrusted strangers, and it supports range query and user-defined access control. In MobiShare, neither the social network server nor the location server has a complete knowledge of the users ’ identities and locations. The users ’ location privacy is protected even if either of the entities colludes with malicious users. I

Analysis of supply chain finance development model for SF Holdings: Comprehensive study for SMEs’ financial accessibility

The supply of funds is a very important part of their development. Due to the problems of small and medium-sized enterprises with insufficient credit in banks and fewer mortgageable assets, it is challenging to obtain funds from banks for development and operation. Supply chain finance can help it solve these problems. Supply chain finance focuses on core enterprises, manages the capital flow, logistics and information flow of upstream and downstream small and medium-sized enterprises, and transforms the uncontrollable risks of a single enterprise into the controllable risks of the supply chain enterprise. The risk is controlled in the lowest financial service through three-dimensional access to various information. As the leader of China’s logistics enterprises, SF Holdings has a mature supply chain management system and big data analytics capabilities and has more enterprise information, which can provide related financial services for small and medium-sized enterprises. This paper will study the supply chain finance model of SF Express Holdings, analyze its development and existing problems, put forward corresponding suggestions, and make predictions for its future development and the development of supply chain finance