Miracle-dz/UniFAR-FTUs huggingface dataset:
VINS-Dimc: A Visual-Inertial Navigation System for Dynamic Environment Integrating Multiple Constraints

Most visual–inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual–inertial navigation system, VINS-dimc, is proposed. This system integrates various constraints on the elimination of dynamic feature points, which helps to improve the positioning accuracy of VINSs in dynamic environments. First, the motion model, computed from the inertial measurement unit (IMU) data, is subjected to epipolar constraint and flow vector bound (FVB) constraint to eliminate feature matching that deviates significantly from the motion model. This algorithm then combines multiple feature point matching constraints that avoid the lack of single constraints and make the system more robust and universal. Finally, VINS-dimc was proposed, which can adapt to a dynamic environment. Experiments show that the proposed algorithm could accurately eliminate the dynamic feature points on moving objects while preserving the static feature points. It is a great help for the positioning accuracy and robustness of VINSs, whether they are from self-collected data or public datasets.
Numerical simulation of outburst prevention air door destruction by coal and gas outbursts

We explore the destruction of outburst prevention air doors by coal and gas outbursts using numerical simulation.The reflective overpressure when an outburst acts on doors is elucidated,and its formula is obtained.The destruction of outburst prevention wind doors by coal and gas outburst are simulated using ANSYS software based on data of wind door pressure obtained by similarity simulation experiment.The simulation results show that the weakest place of gate posts is where the wind tube is.Simulation results also show the first shock wave pressure that acts on an outburst prevention wind door is not the maximum one.Due to the effect of reflected overpressure,the outburst prevention wind door pressure will reach the maximum in several milliseconds.This finding is similar to the experiment result.
Breastfeeding and Reduced Risk of Breast Cancer: A Systematic Review and Meta-Analysis

Background Evidences which prove relation between breastfeeding women and risk of breast cancer have been limited. Objective A meta-analysis was carried out on the basis of published literature from clinical trials and studies among different parts of the world. Methods Studies were analyzed and extracted using PRISMA flowchart. RevMan 5.4. 1 was used for analyzing the extracted data. Included studies were fully cited texts with complete information about studies, trails conducted for risk of breast cancer, and breastfeeding correlations. Results Menarche age, family history, lactation duration, and menopausal status have a strong effect on the risks of breast cancer. Family history studies concluded that for 95% CI, the risk ratio was 2.66 (2.00, 3.52). Conclusion Findings have suggested that family history and lactation duration affect the risks of breast cancer.
Signal Detection In the Strong Noise Environment

The demand for the detection of objects with low probability of interception (LPI) and low probability of observation is increasely needed.The method of signal detection in low signal to noise ratio(SNR) is widely concerned.Most of signals in electronic systems have periodic frequency but noise has not.Signals in low SNR can be detected in terms of spectral correlation algorithm.The detection capability can be greatly improved if wavelet packets denoising is performed before the use of spectral correlation.In this paper,phase coded signal and the echo of passive location system which signals are transmitted by TV station have been simulated using wavelet packets denoising method and spectral correlation method.The simulation results show that the proposed scheme can detect signal in -21dB SNR for phase coded signal and -14.5dB SNR for TV signal. 
Some results on OMP algorithm for MMV problem

In this paper, the robustness of the orthogonal matching pursuit (OMP) algorithm for multiple measurement vector (MMV) problem under the restricted isometry property (RIP) is presented. Moreover, it is shown that the OMP algorithm can exactly recover K‐row sparse matrices in K iterations under the RIP condition we have presented. Furthermore, the condition is sharp.
A Robotic Arm Based Design Method for Modular Building in Cold Region

The robotic arm has emerged as an essential tool for the rapid construction of high-quality buildings due to its ability to repeat instructions, achieve precise positioning and fine operations. The robotic arm can also effectively replace workers to complete building construction under low temperature and short daylight conditions. Thus, it can be forward-looking to construct modular buildings in cold region, but how to realize the construction of modular buildings through human-machine coordination and remote operation is a significant issue. This article discusses the feasibility of robotic arm assembly design methods in the field of architecture by simulating the complete design and construction process of modular buildings. According to parameterized module design, a three-dimensional computer model is transformed into an electronic file that directs the action of the robotic arm to complete assembly via a custom processing program. This article details a theoretical and practical exploration of the construction of modular manipulators and has certain guiding significance for the intelligent design and construction of future buildings.
Long Noncoding RNA DLGAP1-AS2 Promotes Tumorigenesis and Metastasis by Regulating the Trim21/ELOA/LHPP Signaling Axis in Colorectal Cancer

Background: Long noncoding RNAs (lncRNAs) have driven research focused on their effects as oncogenes or tumor suppressors involved in carcinogenesis. However, the functions and mechanisms of most lncRNAs in colorectal cancer (CRC) remain unclear. Methods: The expression of DLGAP1-AS2 was assessed by quantitative RT-PCR in multiple CRC cohorts. The impacts of DLGAP1-AS2 on CRC growth and metastasis were evaluated by a series of in vitro and in vivo assays. Furthermore, the underlying mechanism of DLGAP1-AS2 in CRC was revealed by RNA pull down, RNA immunoprecipitation, RNA sequencing, luciferase assays, chromatin immunoprecipitation, and rescue experiments. Results: We discovered that DLGAP1-AS2promoted CRC tumorigenesis and metastasis by physically interacting with Elongin A (ELOA) and inhibiting its protein stability by promoting tripartite motif containing 21(Trim21)-mediated ubiquitination modification and degradation of ELOA. In particular, we revealed that DLGAP1-AS2decreases phospholysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP) expression by inhibiting ELOA-mediated transcriptional activating of LHPP and thus blocking LHPP-dependent suppression of the AKT signaling pathway. In addition, we also demonstrated that DLGAP1-AS2 was bound and stabilized by cleavage and polyadenylation specificity factor (CPSF2) and cleavage stimulation factor (CSTF3). Conclusions: The discovery of DLGAP1-AS2, a promising prognostic biomarker, reveals a new dimension into the molecular pathogenesis of CRC and provides a prospective treatment target for this disease. Keywords: colorectal cancer, DLGAP1-AS2, ELOA, Trim21, LHPP
Space-Time DOA Matrix Method

Based on the space time eigenstructure of signals,a novel space time DOA matrix method is proposed to estimate the high resolution 2 D DOA of narrowband signals.The method transfers the observed data from space domain to 2 D space time domain by exploiting the cross correlation of the array outputs,and a large amount of virtual elements are generated through space time processing.Therefore the constraint over the array configuration and the element identity can be significantly weakened,which means the matching subarray is no longer needed and the advantage of the traditional DOA matrix method,such as automatical parameter alignment and no need of 2 D search,is still available.The simulation results show the effectiveness of the method.
Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study

Background The measurement and monitoring of generalized anxiety disorder requires frequent interaction with psychiatrists or psychologists. Access to mental health professionals is often difficult because of high costs or insufficient availability. The ability to assess generalized anxiety disorder passively and at frequent intervals could be a useful complement to conventional treatment and help with relapse monitoring. Prior work suggests that higher anxiety levels are associated with features of human speech. As such, monitoring speech using personal smartphones or other wearable devices may be a means to achieve passive anxiety monitoring. Objective This study aims to validate the association of previously suggested acoustic and linguistic features of speech with anxiety severity. Methods A large number of participants (n=2000) were recruited and participated in a single web-based study session. Participants completed the Generalized Anxiety Disorder 7-item scale assessment and provided an impromptu speech sample in response to a modified version of the Trier Social Stress Test. Acoustic and linguistic speech features were a priori selected based on the existing speech and anxiety literature, along with related features. Associations between speech features and anxiety levels were assessed using age and personal income as covariates. Results Word count and speaking duration were negatively correlated with anxiety scores (r=–0.12; P<.001), indicating that participants with higher anxiety scores spoke less. Several acoustic features were also significantly (P<.05) associated with anxiety, including the mel-frequency cepstral coefficients, linear prediction cepstral coefficients, shimmer, fundamental frequency, and first formant. In contrast to previous literature, second and third formant, jitter, and zero crossing rate for the z score of the power spectral density acoustic features were not significantly associated with anxiety. Linguistic features, including negative-emotion words, were also associated with anxiety (r=0.10; P<.001). In addition, some linguistic relationships were sex dependent. For example, the count of words related to power was positively associated with anxiety in women (r=0.07; P=.03), whereas it was negatively associated with anxiety in men (r=–0.09; P=.01). Conclusions Both acoustic and linguistic speech measures are associated with anxiety scores. The amount of speech, acoustic quality of speech, and gender-specific linguistic characteristics of speech may be useful as part of a system to screen for anxiety, detect relapse, or monitor treatment.
Simulated Docking Predicts Putative Channels for the Transport of Long-Chain Fatty Acids in Vibrio cholerae

Fatty acids (FA) play an important role in biological functions, such as membrane homeostasis, metabolism, and as signaling molecules. FadL is the only known protein that uptakes long-chain fatty acids in Gram-negative bacteria, and this uptake has traditionally been thought to be limited to fatty acids up to 18 carbon atoms in length. Recently however, it was found Vibrio cholerae has the ability to uptake fatty acids greater than 18 carbon atoms and this uptake corresponds to higher bacterial survivability. Using E. coli’s FadL as a template, V. cholerae FadL homologs vc1042, vc1043, and vca0862 have been folded, simulated on an atomistic level using molecular dynamics, and analyzed revealing the FadL transport channels. For vc1042 and vc1043 these transport channels have more structural accommodations for the many rigid unsaturated bonds of long-chain polyunsaturated fatty acids, while vca0862 was found to lack transport channels within the signature beta barrel of FadL proteins. IMPORTANCE Fatty acids are important precursors for membrane phospholipids as well as energy sources for bacteria. V. cholerae’s uptake of long-chain fatty acids has not been studied to the atomistic level at this point, and by doing so, the resulting putative pathways show important structural details of the transport protein. Not only do the transport channels have unique differences between one another, the predicted transport mechanics of V. cholerae’s protein homologs differ substantially from the E. coli FadL’s pathway found from X-ray crystallography studies.
ENVIRONMENTAL, SOCIAL, AND GOVERNANCE (ESG) PRACTICE AND FIRM PERFORMANCE: AN INTERNATIONAL EVIDENCE

This article attempts to bring quantitative evidence of a firm’s sustainability reporting in terms of non-financial voluntary disclosures. The disclosures are made available through the annual report and Corporate Social Responsibility (CSR) and Global Reporting Initiatives (GRI) report. ESG score is a quantitative measure developed and disseminated by Bloomberg, covering about 120 Environmental, Social, and Governance aspects. The study’s research problem is to examine the effects of non-market transnational sustainability strategy on firm performance. The study presents an analysis of nearly 510 firm’s ESG scores across 17 countries for 2010–2018. The descriptive and inductive statistical analysis shows that ESG compliance is more pronounced in European companies. Simultaneously, Asian firms are more disciplined concerning the energy sector, and the Asiapacific counterpart is more inclined toward technology firms. The study shows that GRI and nonGRI companies differ significantly in their accounting performance (ROA and ROE) and market valuations (Tobin’s-Q). The environmental dimension appears intimidating across accounting and market-based firm performance, while the social dimension contributes adversely, and governance positively affects operational efficiency.
Life-cycle impacts from different decarbonization pathways for the European car fleet

For light-duty vehicles (LDVs), alternative powertrains and liquid fuels based on renewable electricity are competing options considered by policymakers and stakeholders for achieving necessary CO2 emission reductions in the transport sector. While the urgency of climate change and the need to reach mitigation targets are well understood, system-wide implications along other sustainability dimensions need further exploration. We integrate a detailed transport system model into an integrated assessment framework and couple it with prospective life cycle impact analysis. This allows to assess different technological pathways of the European LDV fleet until 2050 for a comprehensive set of environmental and resource depletion indicators. Results indicate that greenhouse gas emissions drop significantly in all mitigation scenarios. However, impacts increase in several non-climate change impact categories even with fully renewable electricity supply. Additional impacts arise from the production of battery and fuel-cell components, and from a significant rise in electricity demand, most prominently for synthetic fuels. We consequently find that changes in mobility life-styles and in the relevant industrial processes are paramount to reduce environmental impacts from a climate-friendly LDV fleet across all categories.
Morphological variations and morphometry of the papillary muscles of the mitral valve – a cadaveric study

Recent advances and refinements in mitral valve surgery as well as interventional procedures have revived the interest in disparity in the morphology and morphometry of papillary muscles of the mitral valve. Study was taken up with an effort to extend the concepts previously presented on papillary muscles of mitral valve. Papillary muscles were studied in 320 fresh autopsied adult normal hearts. With varying number of muscle bellies. Anterolateral (ALPM) and posteromedial (PMPM) groups of papillary muscles were found. In two hearts, the ALPM and PMPM were connected by muscle tissue. According to the number of separate muscle bellies, 4 groups were categorized with increasing complexity. Single belly was the commonest form in the ALPM (73 %) and two bellies were the commonest form in the PMPM (40 %). The papillary muscles show a great variability on the nature of attachment to the ventricular wall. More than half of the hearts studied had a mixed type of papillary muscles (partly tethered and partly protruding in ALPM and PMPM groups. The mean distance separating the mitral annulus from the apex of the ALPM was 19.38 mm ± 3 SD (range 5 – 26) and from the apex of the PMPM was 20.36 mm ± 3.7 SD (range 10 – 32). The average length of ALPM was 32.24 mm ± 4.8 SD (range 20 - 45) and that of the PMPM was 29.92 mm ± 4.9 SD (range 16 - 44). The documented classical view of two papillary muscles should be adapted with 4 types of variations in morphology with increasing complexity.
Unified Approach for Determining an Appropriate Assumed Distribution of Limited Fatigue Reliability Data

A reasonable assumed distribution should be arisen from the three considerations, i.e., total fit effect, consistency with the relevant fatigue physics and, most importantly, safety of design evaluation. From these considerations, a unified approach is presented to determine an appropriate assumed distribution of three kinds of limited fatigue reliability data, i.e., fatigue life, cyclic stress amplitude and crack growth rate.Seven commonly used distributions, namely, three-parameter Weibull, two-parameter Weibull, normal, lognormal, extreme maximum value, extreme minimum value and exponential, are analyzed. Their statistical parameter evaluation and statistical reference are made by a linear regression technique. The approach makes allowance to check the above three considerations. The fatigue life data of three kinds of welded joints, 16Mn, Q235 and 1Cr18Ni9Ti steel, respectively, and the cyclic stress amplitude and short crack growth rate data of 1Cr18Ni9Ti steel-weld metal during low cycle fatigue are analyzed. The results reveal that the extreme maximum value and lognormal distributions are appropriate for the fatigue lives. The extreme minimum value and normal models are better for the short crack growth rates. These two models are also suitable for the cyclic stress amplitudes.
EFFECT OF ACQUISITION TYPE ON INDUSTRIAL DEVELOPMENT IN EMERGING MARKETS: EVIDENCE FROM CHINA

In this paper, we proposed a model of how corporate acquisition influences industrial performance by exploring industry-level and firm-level ownership characteristics in emerging markets. Based on a database of 1,934 acquisitions of listed firms in China, we examined the relationship between corporate acquisition type and industrial performance and the moderating effects of industrial and firm ownership characteristics. The study generated three major findings: 1) compared with cross-industry acquisitions, intra-industry acquisitions of firms have a stronger positive effect on industrial performance; 2) corporate ownership and industrial ownership variables exert different moderating impact on the relationship between acquisition type and industrial performance; and 3) firm ownership and industrial ownership have a joint moderating effect on the relationship between acquisition type and industrial performance. By conceptually arguing and empirically verifying how multi-level factors influence industrial performance in the context of emerging economies, we contributed to the study of the relationship between the micro-level firm acquisition and the macro-level industrial development in several distinct ways.
Nanoplastics Increase Fish Susceptibility to Nodavirus Infection and Reduce Antiviral Immune Responses

Nanoplastics (NPs) might cause different negative effects on aquatic organisms at different biological levels, ranging from single cells to whole organisms, including cytotoxicity, reproduction, behavior or oxidative stress. However, the impact of NPs on disease resistance is almost unknown. The objective of this study was to assess whether exposure to 50 nm functionalized polystyrene NPs impacts fish susceptibility to viral diseases both in vitro and in vivo. In particular, we focused on the nervous necrosis virus (NNV), which affects many fish species, producing viral encephalopathy and retinopathy (VER), and causes great economic losses in marine aquaculture. In vitro and in vivo approaches were used. A brain cell line (SaB-1) was exposed to 1 μg mL−1 of functionalized polystyrene NPs (PS-NH2, PS-COOH) and then infected with NNV. Viral titers were increased in NP-exposed cells whilst the transcription of inflammatory and antiviral markers was lowered when compared to those cells only infected with NNV. In addition, European sea bass (Dicentrarchus labrax) juveniles were intraperitoneally injected with the same NPs and then challenged with NNV. Our results indicated that NPs increased the viral replication and clinical signs under which the fish died although the cumulate mortality was unaltered. Again, exposure to NPs produced a lowered inflammatory and antiviral response. Our results highlight that the presence of NPs might impact the infection process of NNV and fish resistance to the disease, posing an additional risk to marine organisms.
Resampling Estimation Based RPC Metadata Verification in Satellite Imagery

Recent advances in machine learning and computer vision have made it simple to manipulate a variety of media, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to remove potential distortions due to terrain variations. This orthorectification process typically involves the use of rational polynomial coefficients (RPC) that geometrically remap the pixels in the original image to the rectified image. This paper proposes the first method to verify the authenticity of RPC metadata in an orthorectified satellite image. The steps include calculating the Residual Discrete Fourier Transform (DFT) pattern from the image using a linear predictor based residual spectral analysis and comparing with Expected Residual pattern that is obtained using the RPC metadata associated with the image. If the metadata associated with orthorectified image is correct, then the Residual-DFT pattern (which represents image data) and the Expected-Residual-DFT pattern (which represents metadata) should be similar. We use SSIM (Structural Similarity Index Metric) to quantify the similarity and thereby verify if the data has been tampered or not. Detailed experimental results demonstrate that our method achieves over 97% accuracy in the majority of binary tampering detection tests.
The Application of Reactive Powder Concrete in Engineering Construction

Through presentation of the principles lead in g to the development of RPC, description of the physical and mechanical properti es of RPC and analysis of the application in many fields of construction, the gr eat practical value of RPC is proposed in this paper. Moreover, the existing eng ineering projects of RPC abroad and the completed work in the application of RPC 200 by Northern Jiaotong University are introduced .