Miracle-dz/UniFAR-FTUs huggingface dataset:
The efficiency and safety of oral tranexamic acid in total hip arthroplasty

Abstract Background: Intravenous (IV), topical and combination of both application of tranexamic acid (TXA) can reduce blood loss, hemoglobin drop, and transfusion rate in patients following total hip arthroplasty (THA). Lately, published articles reported that oral TXA had as similar blood-saving as IV and topical TXA in THA. The purpose of this meta-analysis is to investigate the efficiency and safety of oral TXA in THA. Methods: We systematically searched articles about oral administration of TXA in THA from PubMed, Embase, Scopus, Web of Science, the Cochrane Library, and the Chinese Wanfang database. Study eligibility criteria:1. Patients underwent primary THA;2. The intervention was oral application of TXA in THA;3. Outcomes included hemoglobin drop, total blood loss, transfusion rate, length of stay, and complications;4. The studies were designed as randomized controlled trials (RCTs) or clinical comparative trial (CCT). The outcomes were collected and analyzed by the Review Manager 5.3. Results: Nine RCTs and 1 CCT, containing 1305 patients, were ultimately included according to the inclusion criteria and exclusion criteria in the meta-analysis. The effectiveness of oral TXA was as similar as the IV or topical TXA in regard to hemoglobin drop (SMD = −0.14; 95% CI, [−0.28, 0.01]; P = .06), total blood loss (SMD = 0.01; 95% CI, [−0.13, 0.16]; P = .84), transfusion rate (OR = 0.76; 95% CI, [0.38, 1.55]; P = .37). Compared with single oral TXA or blank group, multiple oral TXA effectively reduced hemoglobin drop (SMD = −1.06; 95% CI, [−1.36, −0.77]; P < .05), total blood loss (SMD = −1.30; 95% CI, [−1.66, −0.94]; P < .05), transfusion rate (OR = 0.53; 95% CI, [0.29, 0.95]; P = .03). There were no significant difference in terms of length of stay and complication among all of enrolled studies. Conclusion: Oral TXA has favorable effect of blood-saving and do not increase risk of complication in patients following THA. Oral TXA may have no effect in the length of stay. More high quality RCTs are necessary.
Quantification of Surface GalNAc Ligands Decorating Nanostructured Lipid Carriers by UPLC-ELSD

Nanoparticles have been extensively studied for drug delivery and targeting to specific organs. The functionalization of the nanoparticle surface by site-specific ligands (antibodies, peptides, saccharides) can ensure efficient recognition and binding with relevant biological targets. One of the main challenges in the development of these decorated nanocarriers is the accurate quantification of the amount of ligands on the nanoparticle surface. In this study, nanostructured lipid carriers (NLC) were functionalized with N-acetyl-D-galactosamine (GalNAc) units, known to target the asialoglycoprotein receptor (ASGPR). Different molar percentages of GalNAc-functionalized surfactant (0%, 2%, 5%, and 14%) were used in the formulation. Based on ultra-high-performance liquid chromatography separation and evaporative light-scattering detection (UPLC-ELSD), an analytical method was developed to specifically quantify the amount of GalNAc units present at the NLC surface. This method allowed the accurate quantification of GalNAc surfactant and therefore gave some insights into the structural parameters of these multivalent ligand systems. Our data show that the GalNAc decorated NLC possess large numbers of ligands at their surface and suitable distances between them for efficient multivalent interaction with the ASGPR, and therefore promising liver-targeting efficiency.
Towards an Effective Management of IoT by Integrating Cloud and Fog Computing

Cars, environment sensors, or home-deployed appliances can be connected to the Internet or are accessible via the Internet which becomes the Internet of Things (IoT). Implementing an IoT network presents challenges in terms of security and privacy, as well as limitations related to communications and management. Cloud technology is considered as an effective solution for managing IoT systems by moving all complex processes to the cloud and making them accessible to users. Adopting cloud technology can improve the reliability and scalability of IoT systems. However, introducing the cloud paradigm is not a straightforward task. Edge computing was proposed to avoid some of cloud limitations such as latency and security concerns, but it has its own constraints in terms of storage, computing and mobility. This paper discusses the possibility of managing an IoT system by a cloud-edge system. It introduces the cloud and fog computing technologies for addressing IoT limitations. In addition, critical metrics are identified for the purpose of assessing the advantages and difficulties of these technologies. Finally, this paper is proposing a framework able to handle the mentioned limitations, balance the services among the cloud and the edge servers, and boost the overall performance.
Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features

Searching targets of interest in large-scale satellite images is an imperative task, which becomes a challenging issue when the targets reside only in the mind of the user as a set of subjective visual patterns. In this paper, we take the advantage of hand-drawn sketches’ strong intuition of describing mental target to address the problem of no available exemplar query. We introduce a multi-level-of-detail model to learn a cross-domain representation for bridging the gap between sketches and satellite images. To train the model, we propose a novel method of generating satellite images with corresponding level of details based on generative adversarial network. Experiments on both large-scale satellite images and commonly used RS datasets demonstrate the effectiveness and superiority of our method.
Polarimetric L-band PALSAR2 for Discontinuous Permafrost Mapping In Peatland Regions

Cost-effective permafrost characterization and monitoring should be possible due to advances in the technology of earth observation satellites. In particular, the long-penetration capabilities of L-band ALOS2-PALSAR2 should permit large scale mapping of discontinuous permafrost in peatland areas. Recently, it has been shown that the long penetrating polarimetric L-band ALOS is very promising for boreal and subractic peatland mapping and monitoring [1], [2]. The unique information provided by the Touzi decomposition [3], [4], and the Touzi scattering phase in particular, on peatland subsurface water flow permits enhanced discrimination of bogs from fens; two peat- land classes that can hardly be discriminated using conventional optical remote sensing. In this study, the Touzi scattering phase is investigated for mapping discontinuous permafrost in peatland regions Northern Alberta. Polari- metric ALOS-2 (FP6-4) and field data were collected in August 2014 over discontinuous distributed within wooded palsa bogs and peat plateaus near the Namur Lake (North¬ern Alberta). The ALOS2 image is re-calibrated to reduce the residual error from -33 dB down to -43 dB. This permits full exploiting the excellent ALOS2 performance in term of low noise floor (NESZ about -38 dB) to increase the sensitivity of the Touzi phase to deep permafrost. It is shown that the information provided by the scattering type phase per¬mits enhanced mapping of discontinuous permafrost. The results obtained with the long penetrating L-band polarimetric PALSAR2 are much better than the ones obtained with conventional discontinuous permafrost mapping meth¬ods based on Lidar and optical (Landsat and Spot) images.
Intelligent Onboard Processing and Multichannel Transmission Technology for Infrared Remote Sensing Data

According to the current main application mode of remote sensing satellites, users obtain the original image data, carries on the complex data processing, and get the required substantive content by filtering results after processing. The poor data timeliness, the large amount of data transmitted from satellite to ground, and the heavy workload of the ground processing system are main drawbacks of such modes. This article presents an intelligent onboard processing and multichannel transmission concept for infrared remote sensing satellites to solve above problems. Through applying cloud detection, fire spot detection, water pollution detection and other algorithms, infrared remote sensing data of the satellite payload is processed onboard, so that typical user-focused events with exact location information are discovered. The event information can be broadcast to the ground immediately through the short message channel of Chinese Beidou Navigation System, which is a real-time data transmission channel, so application users can quickly respond. In addition, there is a mid-speed data transmission channel for slicing images of areas of interest (AOI), as well as a high-speed data transmission channel for complete image data, to meet the needs of different users. In general, this article provides an overview of onboard information extraction and multichannel distribution for infrared remote sensing satellites, which can be used as a reference for satellite applications and engineering development.
A Bayesian network meta-analysis protocol

Background:Traditional Chinesemedicine (TCM) non-pharmaceutical therapies are frequently used for chronic insomnia in China, but in clinical practice, most practitioners choose appropriate treatments based on personal experience. In our study, Bayesian network meta-analysis will be used to identify differences in efficacy and safety between diverse non-pharmaceutical therapies for chronic adult insomnia. Methods: The authors will totally retrieve seven electronic databases from their establishment to August 2019 in accordance with relevant strategies. After a series of screening, the 2 researchers will employ the Aggregate Data Drug Information System (ADDIS) and R software to analyze the data extracted from enclosed Randomized Controlled Trials (RCTs). Ultimately, the evidentiary grade of the results will be evaluated. Results: This study will provide reliable evidence for different non-pharmaceutical therapies on chronic insomnia in adults. Conclusions: The findings will be an available reference to evaluate the efficacy and safety of different non-pharmaceutical therapies on chronic insomnia in adults and may provide decision-making reference on which method to choose for clinicians. Trial registration number: PROSPERO CRD42019141496. Abbreviations: ADDIS = Aggregate Data Drug Information System, CBM = China Biological Medicine, CBT-I = cognitive behavioral therapy for insomnia, CCMD = Chinese Classification and Diagnosis of Mental Disorders, CENTRAL = Cochrane Central Register of Controlled Trials, CNKI = China National Knowledge Infrastructure, DSM = Diagnostic and Statistical Manual of Mental Disorders, GRADE =Grading of Recommendations Assessment, Development, and Evaluation, ICD = International Classification of Diseases, ICSD = International Classification of Sleeping Disorders, PRISMA-P = Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols, PSQI = Pittsburgh sleep quality index, RCTs = randomized controlled trials, TCM = Traditional Chinese Medicine, VIP = Chinese Scientific Journals Database.
Patch-Based and Tensor-Patch-Based Dimension Reduction Methods for Hyperspectral Images

The majority of current dimension reduction methods are restricted to the use of spectral information, when the spatial information is left out. In order to overcome this defect, two different solutions: patch-based and tensor-patch-based approaches, were studied in this paper. This paper applies the two solutions to a group of graph-based dimension reduction methods. We found that the patch-based and tensor-patch-based variations greatly boost the final classification results by 5%-15% from the traditional methods. As graph-based methods heavily rely on the calculation of adjacency graphs/weight matrices, this paper proposed the use of a new method: weighted region covariance matrix, to produce the adjacency graphs/weight matrices. In results, the newly proposed method can further improve the dimension reduction results in both the patch-based and tensor-patch-based methods. To reduce the intense computation in the adjacency graphs/weight matrix calculation, the principle component analysis (PCA) is proposed by this paper as a preprocess step.
Stabilization & Synchronization of Rössler System using T-S Fuzzy Controller

The paper aims on the approach of designing two controllers one for the stabilization and the other for synchronization between a transmitter and a receiver system using Rössler equations. For both stabilization and synchronization processes Takagi-Sugeno (T-S) fuzzy model is used utilizing parallel distributed compensation (PDC) rules. Linear Matrix Inequality (LMI) optimization problems have been solved to obtain suitable state feedback gain matrices. In case of stabilization, the controller drives the highly oscillating chaotic dynamics to a stable steady state value and in synchronization process, the error between the states of the drive system and the response system is reduced to zero making the system synchronized, which is the novelty of the work. The performance is validated in MATLAB platform using simulations.
Co-Seismic Deformation and Source Model of the 25 April 2015 MW 7.8 Nepal Earthquake and the 12 May 2015 MW 7.2 Aftershock

In this paper, the 2015 Nepal Earthquake sequence, both the main shock (MW 7.8) on 25 April 2015 and the major aftershock (MW 7.2) on 12 May 2015 are investigated by using co-seismic DInSAR and GPS measurements. Source model and slip distribution of both events are determined using geodetic inversion based on an elastic dislocation model. The optimised source model for the main shock shows a thrust fault striking 285.9° NW-SE and dipping 7.7° NE with a slight right-lateral component. The maximum slip of this event is up to 5.1m. The peak slip of distributed slip model for the major aftershock was found at the similar depth of main shock. The triggering relationship between main shock and major aftershocks is demonstrated based on the calculation of Coulomb stress change.
Single-Layer Cu2WS4 with Promising Electrocatalytic Activity towards Hydrogen Evolution Reaction.

Two-dimensional hydrogen evolution reaction (HER) electrocatalysts are outstanding alternatives to high-cost Pt due to their good material properties. However, the few existing two-dimensional HER electrocatalysts have shortcomings that restrict their performance. Here, we report a first-principles study of single-layer A2BS4 (A=Ag, Cu; B= Mo, W) as HER electrocatalysts, and identify single-layer Cu2WS4 as a promising candidate. Single-layer A2BS4 are found to be chemically, dynamically and thermally stable. They require only a small energetic cost to be created from their layered bulks, suggesting the possibility of their exfoliation in experiments. Most importantly, without significant density of vacancies and in the absence of large applied strain, the basal plane of single-layer Cu2WS4 shows excellent electrocatalytic activity toward HER. Such activity is attributed to the introduced in-gap states and d band center shifting upon adsorbing hydrogen. These characteristics suggest that single-layer Cu2WS4 is an extraordinary two-dimensional HER electrocatalyst.
Complete Genome Sequences of Two Listeria Phages of the Genus Pecentumvirus

Bacteriophages isolated from environmental sources can be used as a biocontrol against the foodborne pathogen Listeria monocytogenes. Here, we present the complete genomes of LP-039 and LP-066, two Pecentumvirus bacteriophages that infect L. monocytogenes. The genome sizes of LP-039 and LP-066 are 136.2 kb and 139.0 kb, respectively. ABSTRACT Bacteriophages isolated from environmental sources can be used as a biocontrol against the foodborne pathogen Listeria monocytogenes. Here, we present the complete genomes of LP-039 and LP-066, two Pecentumvirus bacteriophages that infect L. monocytogenes. The genome sizes of LP-039 and LP-066 are 136.2 kb and 139.0 kb, respectively.
Copolymerization of single-cell nucleic acids into balls of acrylamide gel

We show the use of 5′-Acrydite oligonucleotides to copolymerize single-cell DNA or RNA into balls of acrylamide gel (BAGs). Combining this step with split-and-pool techniques for creating barcodes yields a method with advantages in cost and scalability, depth of coverage, ease of operation, minimal cross-contamination, and efficient use of samples. We perform DNA copy number profiling on mixtures of cell lines, nuclei from frozen prostate tumors, and biopsy washes. As applied to RNA, the method has high capture efficiency of transcripts and sufficient consistency to clearly distinguish the expression patterns of cell lines and individual nuclei from neurons dissected from the mouse brain. By using varietal tags (UMIs) to achieve sequence error correction, we show extremely low levels of cross-contamination by tracking source-specific SNVs. The method is readily modifiable, and we will discuss its adaptability and diverse applications.
Tightly Coupled GNSS/INS Integration via Factor Graph and Aided by Fish-Eye Camera

GNSS/INS integrated solution has been extensively studied over the past decades. However, its performance relies heavily on environmental conditions and sensor costs. The GNSS positioning can obtain satisfactory performance in the open area. Unfortunately, its accuracy can be severely degraded in a highly urbanized area, due to the notorious multipath effects and none-line-of-sight (NLOS) receptions. As a result, excessive GNSS outliers occur, which causes a huge error in GNSS/INS integration. This paper proposes to apply a fish-eye camera to capture the sky view image to further classify the NLOS and line-of-sight (LOS) measurements. In addition, the raw INS and GNSS measurements are tightly integrated using a state-of-the-art probabilistic factor graph model. Instead of excluding the NLOS receptions, this paper makes use of both the NLOS and LOS measurements by treating them with different weightings. Experiments conducted in typical urban canyons of Hong Kong showed that the proposed method could effectively mitigate the effects of GNSS outliers, and an improved accuracy of GNSS/INS integration was obtained, when compared with the conventional GNSS/INS integration.
Maximum Power Point Tracking Techniques under Partial Shading Condition- A Review

Partially shaded condition (PSC) is one of the major problems in large photovoltaic generation systems. It causes losses in output power and hot spot effects. Under PSC, PV characteristic curve exhibits multiple peaks having one global maximum power point and multiple local maximum power points. Tracking the global maximum power point is one of the main challenges the design engineers have to face. The paper presents the recent work done on the development of Global Maximum Power Point Tracking (GMPPT) algorithms under partial shading condition and their comparative analysis. To have focus on GMPPT techniques used in PSC, traditional MPPT techniques that cannot distinguish GMPP from local maximum power points have not been discussed.
User Topic Preferences Based Influence Maximization in Overlapped Networks

With the rapid development of online social networks, there is a trend of information interconnection among online social networks. User’s social behaviors are no longer confined to a single network but interact in the form of overlapping networks. Studying the problem of maximizing the influence of overlapping networks can not only make the influence spread to the extent that a single network cannot reach, but also effectively control the cost of advertising while maintaining the scope of diffusion. However, the existing models of user identification and influence propagation in overlapping networks are still not efficient enough. For this reason, this paper studies the problem of maximizing influence in overlapping networks based on user interests. First, network coupling is carried out through the “bridge” role of overlapping network users; secondly, independent cascade model is used. On the basis of this, a User Interest-based Influence Propagation Model of the Overlay Network (UI-IPM) is designed. Finally, based on the UI-IPM model, a heuristic algorithm combined with the greedy algorithm is designed to maximize the impact of overlapping networks (UI-IPM) and achieve Influence Maximization of the Overlay Network (IMON) mining seed nodes. The experimental results show the effectiveness of IMON algorithm in terms of influence sphere and time efficiency, and also verify the efficiency of seed nodes mining in overlapping network environment compared with a single network environment.
New flocking algorithms based on a two-layer structure

In this paper, we propose two flocking algorithms based on a two-layer structure. Using these distributed algorithms, the flocking system can be easily controlled. In this structure, the upper-layer network receiving human input is used to make the swarm move according to human expectation, and the lower-layer network is used to make the swarm act as flock. The passivity of the overall algorithms is proved. The performance of the proposed algorithms is evaluated in simulation. Compared to the traditional flocking system, the two-layer system responds more quickly to the operator, and the operation is more convenient.
Odontoblast-like MDPC-23 cells produce pro-inflammatory IL-6 in response to lipoteichoic acid and express the antimicrobial peptide CRAMP

Abstract Objective: Odontoblasts are thought to be involved in innate immunity but their precise role in this process is not fully understood. Here, we assess effects of lipopolysaccharide (LPS) and lipoteichoic acid (LTA), produced by Gram-negative and Gram-positive bacteria, respectively, on matrix metalloproteinase-8 (MMP-8), interleukin-6 (IL-6) and cathelin-related antimicrobial peptide (CRAMP) expression in odontoblast-like MDPC-23 cells. Material and methods: Gene activity and protein production was determined by quantitative real-time RT-PCR and ELISA, respectively. Cellular expression of CRAMP was determined by immunocytochemistry. Results: Stimulation with LTA (5 and 25 µg/ml) but not LPS (1 and 5 µg/ml) for 24 h enhanced IL-6 mRNA expression. The LTA-induced up-regulation of IL-6 mRNA levels was associated with increased IL-6 protein levels. Stimulation with either LPS or LTA for 24 h lacked effect on both MMP-8 transcript and protein expression. Immunocytochemistry disclosed that MDPC-23 cells expressed immunoreactivity for CRAMP. MDPC-23 cells showed mRNA expression for CRAMP, but stimulation with either LPS or LTA did not modulate CRAMP transcript expression. Conclusions: We show that MDPC-23 cells possess immune-like cell properties such as LTA-induced IL-6 production and expression of the antimicrobial peptide CRAMP, suggesting that odontoblasts may modulate innate immunity via these mechanisms.