Miracle-dz/UniFAR-FTUs huggingface dataset:
Controlling Lateral Size and Thickness of Layered Double Hydroxide (Ldh) Used as Conversion Layer for Corrosion Protection of AZ31 MG Alloy

In the present study, Mg-Al layered double hydroxide (Mg-Al/LDH) was synthesized on the surface of AZ31 Mg alloy substrate via in-situ hydrothermal treatment. Synthesis parameters were changed to determine their effect on the lateral size of LDH. For this purpose, etching in nitric acid and anodizing in sodium hydroxide solution were performed as surface pretreatments. Moreover, the influence of LDH solution pH (10 and 11) on the lateral size of LDH coating was investigated. Morphology, chemical composition, and crystalline structure were characterized by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), Fourier transform infrared (FTIR) spectroscopy, and X-ray diffraction (XRD). The corrosion resistance of the coatings was investigated by H2 measurements, salt spray, and electrochemical impedance spectroscopy (EIS). Moreover, the epoxy coating was applied on the best anti-corrosive LDH sample for assessing the compatibility and effectiveness of LDH on the corrosion properties of the substrate with the epoxy layer. At pH = 11, the lateral size of LDH was smaller than samples at pH = 10. In addition, small-sized LDH, as well as LDH/epoxy coating, revealed enhanced corrosion protection.
Ultrafast x‐ray streak camera for use in ultrashort laser‐produced plasma research

In recent years there has been growing interest in energetic (≳100 eV), temporally short (<10 ps) x rays produced by ultrashort laser‐produced plasmas. The detection and temporal dispersion of the x rays using x‐ray streak cameras has been limited to a resolution of 2 ps, primarily due to the transit time dispersion of the electrons between the photocathode and the acceleration grid. The transit time spread of the electrons traveling from the photocathode to the acceleration grid is inversely proportional to the accelerating field. By increasing the field by a factor of 7, we have minimized the effects of transit time dispersion in the photocathode/accelerating grid region and produce an x‐ray streak camera with subpicosecond temporal resolution (≊900 fs). The streak camera has been calibrated using a Michelson interferometer and 100 fs, 400 nm laser light. The characteristics of the streak camera, along with the most recent x‐ray streak data will be presented.
Efficacy and Safety of Coadministered Ezetimibe–Rosuvastatin plus Telmisartan in South Korean Patients with Dyslipidemia and Hypertension: A Multicenter, Randomized, Double-Blind, Active-Controlled, Phase III Trial

Background: The introduction of a fixed-dose combination (FDC) is expected to improve treatment compliance. Methods: There were 181 subjects who were randomized to three groups: ezetimibe–rosuvastatin 10/20 mg + telmisartan 80 mg, ezetimibe–rosuvastatin 10/20 mg, and telmisartan 80 mg. The primary outcomes were change in mean sitting systolic blood pressure (MSSBP) and percentage change in low-density-lipoprotein cholesterol (LDL-C) compared to baseline at week 8. Results: The least-square mean (SE) in MSSBP changes between the ezetimibe–rosuvastatin 10/20 mg + telmisartan 80 mg group and the ezetimibe–rosuvastatin 10/20 mg group were −25.81 (2.34) mmHg and −7.66 (2.45) mmHg. There was a significant difference between the two groups (−18.15 (2.83) mmHg, 95% CI −23.75 to −12.56, p < 0.0001). Changes in least-square mean (SE) in LDL-C between the ezetimibe–rosuvastatin 10/20 mg + telmisartan 80 mg group and the telmisartan 80 mg group were −63.82 (2.87)% and −2.48 (3.12)%. A significant difference was observed between the two groups (−61.34 (3.33)%, 95% CI −67.91 to −54.78, p < 0.0001). No serious adverse events were observed. Conclusions: Ezetimibe–rosuvastatin plus telmisartan treatment is effective and safe when compared to either ezetimibe–rosuvastatin or telmisartan.
An implementation of an enhanced DG primary control equipped with fault detection scheme

ABSTRACT This paper proposes an enhanced primary control unit of the distributed generator inside the microgrid when the DG is grid-connected and when operated autonomously. The control methods needed for the DG inverter when operated in grid-connected mode and autonomous operation mode have been investigated. The rotating reference frame employed for the control of the DG has been clarified to investigate how the active and reactive power of the DG are delivered to the main grid. When the DG suffers from local disturbance conditions, it should be disconnected from the main grid and switched off or its control unit is changed to voltage-frequency mode. Therefore, a fault detection scheme has been implemented to monitor the voltage and frequency of the DG bus. Hence, the performance of the proposed work has been validated under steady-state and short circuit conditions where the DG inverter is operated in grid-connected mode, switch-off mode, and autonomous mode.
Lunar Dust Transport Resulting from Single- and Four-Engine Plume Impingement

When the exhaust plume from a descent engine impinges on the lunar surface, loose regolith can erode and become entrained into a high-velocity spray. These processes are simulated in this work by several integrated models: a hybrid continuum–kinetic solver for the gas flowfield, a coupled two-phase flow model for a polydisperse distribution of grain sizes, and a model for inelastic grain–grain collisions. The continuum regime is modeled with the data-parallel line relaxation code, and the kinetic modeling is done via the direct-simulation Monte Carlo method. Simulation results are first presented for a single-engine lander hovering at different altitudes. Surface stresses and the resulting dust erosion are compared to classical theory, and correction terms are introduced to improve agreement. The velocities of different-sized particles and particle mass fluxes are shown for different hovering altitudes. For a four-engine lander, there are multiple plume–plume and plume–surface interactions that result in .
Molecular and Clinical Links between Drug-Induced Cholestasis and Familial Intrahepatic Cholestasis

Idiosyncratic Drug-Induced Liver Injury (iDILI) represents an actual health challenge, accounting for more than 40% of hepatitis cases in adults over 50 years and more than 50% of acute fulminant hepatic failure cases. In addition, approximately 30% of iDILI are cholestatic (drug-induced cholestasis (DIC)). The liver’s metabolism and clearance of lipophilic drugs depend on their emission into the bile. Therefore, many medications cause cholestasis through their interaction with hepatic transporters. The main canalicular efflux transport proteins include: 1. the bile salt export pump (BSEP) protein (ABCB11); 2. the multidrug resistance protein-2 (MRP2, ABCC2) regulating the bile salts’ independent flow by excretion of glutathione; 3. the multidrug resistance-1 protein (MDR1, ABCB1) that transports organic cations; 4. the multidrug resistance-3 protein (MDR3, ABCB4). Two of the most known proteins involved in bile acids’ (BAs) metabolism and transport are BSEP and MDR3. BSEP inhibition by drugs leads to reduced BAs’ secretion and their retention within hepatocytes, exiting in cholestasis, while mutations in the ABCB4 gene expose the biliary epithelium to the injurious detergent actions of BAs, thus increasing susceptibility to DIC. Herein, we review the leading molecular pathways behind the DIC, the links with the other clinical forms of familial intrahepatic cholestasis, and, finally, the main cholestasis-inducing drugs.
Neutrophil extracellular traps in urinary tract infection

Background Urinary tract infections (UTI) are common types of bacterial infection in children. UTI treatment is aimed to prevent complications including hypertension, proteinuria, and progression to chronic kidney disease. Activated neutrophils release chromatin-based structures associated with antimicrobial proteins called neutrophil extracellular traps (NETs). We aimed to describe the role of NET-associated markers in children with UTI as well as the role of NETs formation in a mouse model of UTI. Materials and methods Markers of NETs including extracellular DNA (ecDNA), myeloperoxidase (MPO) and cathelicidin were analyzed in children with febrile UTI caused by E. coli (n = 98, aged 0.3–1.3 years) and in healthy controls (n = 50, 0.5–5.2 years). Moreover, an acute experimental model of UTI was performed on PAD4 knock-out mice with diminished NETs formation (n = 18), and on wild-type mice (n = 15). Results Children with UTI had significantly higher urinary NETs markers including total ecDNA, nuclear DNA and mitochondrial DNA, altogether with MPO and cathelicidin. The concentrations of MPO and cathelicidin positively correlated with ecDNA (r = 0.53, p ≤ 0.001; r = 0.56, p ≤ 0.001, respectively) and the number of leukocytes in the urine (r = 0.29, p ≤ 0.05; r = 0.27, p ≤ 0.05, respectively). Moreover, urinary MPO was positively associated with cathelicidin (r = 0.61, p ≤ 0.001). In the experimental model, bacterial load in the bladder (20-fold) and kidneys (300-fold) was significantly higher in PAD4 knock-out mice than in wild-type mice. Conclusion Higher urinary NETs makers—ecDNA, MPO and cathelicidin and their correlation with leukocyturia in children with UTI confirmed our hypothesis about the association between NETs and UTI in children. Higher bacterial load in mice with diminished NETs formation suggests that NETs are not only a simple consequence of UTI, but might play a direct role in the prevention of pyelonephritis and other UTI complications.
The golden generation of Australian Soccer: understanding the factors which influenced their development

ABSTRACT While sporting research has focussed on the performance factors and activities contributing to elite performance, there is still limited acknowledgement of the athlete’s voice on the specific experiences and milestones that shaped their development into elite athletes. Therefore, the current study, used qualitative first-hand experiences of international level players to understand their developmental stories. In total, 17 players who represented the Australian National Soccer team during the “Golden Generation” Australian soccer (i.e. represented the Australian National Soccer Team during the Qualification period and subsequent 2006 and 2010 FIFA World Cup competitions) participated in the study. Semi-structured interviews were conducted with all participants, with the analysis identifying six key themes which described the developmental story of players. The themes included, Passion; Family; Mentality; Environment; Practice; and Pathway. The findings provide a detailed description of the environmental and socio-cultural factors the players perceived as critical in their journey to representing their nation.
Deep Learning Method Based on CT Images to Predict the Pathological Differentiation of Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICC) is an adenocarcinoma that originates from the epithelium of the secondary bile ducts and their branches. In recent years, the incidence has shown an increasing trend. As an important clinical indicator of ICC, the degree of pathological differentiation is of great significance for clinical treatment. In this work, we retrospectively analyzed the clinical data of 443 patients with medical follow-up tests from West China Hospital in the past, and the cases were randomly divided into trainset and testset, which both included cases labeled as moderate to high differentiation or low differentiation. The high-dimensional features of the images were extracted by a deep convolutional network (DCNN), where a re-weight method was used to mitigate the impact of the class imbalance prevalent in the medical dataset in the learning of the deep convolutional network, and finally the predicted probability of the degree of differentiation was output by a fully connected network. In this work, we used the Re-weight method and used the mean statistical patient differentiation degree probability and finally predicted the differentiation degree of ICC patients using model integration. We divided the differentiation degree into two levels, low and medium-high differentiation degree, focusing on the accuracy of the lower differentiation degree. We divided the degree of pathological differentiation into two levels, namely, low and medium-high differentiation. The test set is randomly divided, where the category ratio is 1:1, for more objectively verify the performance of the model. By the method proposed in this paper, a final accuracy of 72% was obtained, which is an 8% improvement compared to 64% in baseline, aiming to better guide the clinical treatment of patients.
Automatic Bug Triaging Analysis using Machine Learning Techniques: A Review

As technology is exponentially expanding day by day, the developers and testing team give their best to resolve issues as earliest as possible so that they can deliver the product to customer on time. Generally, in micro organizations, identifying the relevant developer to resolve a particular bug is easy and not much time consuming but for big organization it is still challenging to locate the right developer having the potential to resolve the bug on time which is one of the major task of bug triaging. In this review, we would be analyzing various techniques that will help in performing Automatic bug triaging and will try to find the best technique on the basis of some set of Research Questions, which will help in knowing the statistical analysis of these techniques.
Therapeutic Targeting of P53: A Comparative Analysis of APR-246 and COTI-2 in Human Tumor Primary Culture 3-D Explants

Background: TP53 is the most commonly mutated gene in human cancer with loss of function mutations largely concentrated in “hotspots” affecting DNA binding. APR-246 and COTI-2 are small molecules under investigation in P53 mutated cancers. APR binds to P53 cysteine residues, altering conformation, while COTI-2 showed activity in P53 mutant tumors by a computational platform. We compared APR-246 and COTI-2 activity in human tumor explants from 247 surgical specimens. Methods: Ex vivo analyses of programmed cell death measured drug-induced cell death by delayed-loss-of-membrane integrity and ATP content. The LC50s were compared by Z-Score. Synergy was conducted by the method of Chou and Talalay, and correlations were performed by Pearson moment. Results: APR-246 and COTI-2 activity favored hematologic neoplasms, but solid tumor activity varied by diagnosis. COTI-2 and APR-246 activity did not correlate (R = 0.1028) (NS). COTI-2 activity correlated with nitrogen mustard, cisplatin and gemcitabine, doxorubicin and selumetinib, with a trend for APR-246 with doxorubicin. For ovarian cancer, COTI-2 showed synergy with cisplatin at 25%. Conclusions: COTI-2 and APR-246 activity differ by diagnosis. A lack of correlation supports distinct modes of action. Cisplatin synergy is consistent with P53’s role in DNA damage. Different mechanisms of action may underlie disease specificity and offer better disease targeting.
Utilization of Low Molecular Weight Carbon Sources by Fungi and Saprolegniales: Implications for Their Ecology and Taxonomy

Contributions of fungal and oomycete communities to freshwater carbon cycling have received increasing attention in the past years. It has been shown that fungi and oomycetes constitute key players in the organic matter cycling of freshwater ecosystems. Therefore, studying their interactions with dissolved organic matter is crucial for understanding the aquatic carbon cycle. Therefore, we studied the consumption rates of various carbon sources using 17 fungal and 8 oomycete strains recovered from various freshwater ecosystems using EcoPlate™ and FF MicroPlate™ approaches. Furthermore, phylogenetic relationships between strains were determined via single and multigene phylogenetic analyses of the internal transcribed spacer regions. Our results indicated that the studied fungal and oomycete strains could be distinguished based on their carbon utilization patterns, as indicated by their phylogenetic distance. Thereby, some carbon sources had a higher discriminative strength to categorize the studied strains and thus were applied in a polyphasic approach. We concluded that studying the catabolic potential enables a better understanding of taxonomic relationships and ecological roles of fungal vs. oomycete strains.
AgTx2-GFP, Fluorescent Blocker Targeting Pharmacologically Important Kv1.x (x = 1, 3, 6) Channels

The growing interest in potassium channels as pharmacological targets has stimulated the development of their fluorescent ligands (including genetically encoded peptide toxins fused with fluorescent proteins) for analytical and imaging applications. We report on the properties of agitoxin 2 C-terminally fused with enhanced GFP (AgTx2-GFP) as one of the most active genetically encoded fluorescent ligands of potassium voltage-gated Kv1.x (x = 1, 3, 6) channels. AgTx2-GFP possesses subnanomolar affinities for hybrid KcsA-Kv1.x (x = 3, 6) channels and a low nanomolar affinity to KcsA-Kv1.1 with moderate dependence on pH in the 7.0–8.0 range. Electrophysiological studies on oocytes showed a pore-blocking activity of AgTx2-GFP at low nanomolar concentrations for Kv1.x (x = 1, 3, 6) channels and at micromolar concentrations for Kv1.2. AgTx2-GFP bound to Kv1.3 at the membranes of mammalian cells with a dissociation constant of 3.4 ± 0.8 nM, providing fluorescent imaging of the channel membranous distribution, and this binding depended weakly on the channel state (open or closed). AgTx2-GFP can be used in combination with hybrid KcsA-Kv1.x (x = 1, 3, 6) channels on the membranes of E. coli spheroplasts or with Kv1.3 channels on the membranes of mammalian cells for the search and study of nonlabeled peptide pore blockers, including measurement of their affinity.
Scriptless GUI Testing on Mobile Applications

Traditionally, end-to-end testing of mobile apps is either performed manually or automated with test scripts. However, manual GUI testing is expensive and slow, and test scripts are fragile for GUI changes, resulting in high maintenance costs. Scriptless testing attempts to address the costs associated with GUI testing. Existing scriptless approaches for mobile testing do not seem to fit the requirements of the industry, specifically those of the ING. This study presents an extension to open source TESTAR tool to support scriptless GUI testing of Android and iOS applications. We present an initial validation of the tool on an industrial setting at the ING. From the validation, we determine that the extended TESTAR outperforms two other state-of-the-art scriptless testing tools for Android in terms of code coverage, and achieves similar performance as the scripted test automation already in use at the ING. Moreover, we see that the scriptless approach covers parts of the application under test that the existing test scripts did not cover, showing the complementarity of the approaches, providing more value for the testers.
Balanced and unbalanced routes to dissipation in an equilibrated Eady flow

The oceanic general circulation is forced at large scales and is unstable to mesoscale eddies. Large-scale currents and eddy flows are approximately in geostrophic balance. Geostrophic dynamics is characterized by an inverse energy cascade except for dissipation near the boundaries. In this paper, we confront the dilemma of how the general circulation may achieve dynamical equilibrium in the presence of continuous large-scale forcing and the absence of boundary dissipation. We do this with a forced horizontal flow with spatially uniform rotation, vertical stratification and vertical shear in a horizontally periodic domain, i.e. a version of Eady's flow carried to turbulent equilibrium. A direct route to interior dissipation is presented that is essentially non-geostrophic in its dynamics, with significant submesoscale frontogenesis, frontal instability and breakdown, and forward kinetic energy cascade to dissipation. To support this conclusion, a series of simulations is made with both quasigeostrophic and Boussinesq models. The quasigeostrophic model is shown as increasingly inefficient in achieving equilibration through viscous dissipation at increasingly higher numerical resolution (hence Reynolds number), whereas the non-geostrophic Boussinesq model equilibrates with only weak dependence on resolution and Rossby number.
A Dynamic Transaction Pattern Aggregation Neural Network for Money Laundering Detection

Money laundering is a significant problem in the financial system and provides the conditions for financing various crimes. Previous methods apply many flexible algorithms, such as machine learning, graph mining, and anomaly detection. However, most of these contemporary methods do not adequately consider the dynamic characteristics of transactions, which may contain discriminative information for money laundering detection. To address this issue, in this paper, we propose a dynamic transaction pattern aggregation neural network (DTPAN) for money laundering detection. DTPAN utilizes two feature extractors to learn the dynamic features of transaction behaviors and the evolution of transfer relationships between accounts. Furthermore, it employs a feature enhancement module to enhance the behavior dynamic features, capturing the latent dependency between behavior dynamic and relationship evolution. Experimental results obtained with a real-world dataset demonstrate the effectiveness of DTPAN. The results also reveal that DTPAN can enhance the performance of ML detection by adequately exploring the dynamic information of transactions.
Simultaneous Video Retrieval and Alignment

With the growth of the video streaming industry, video retrieval and video alignment are facing high levels of demand. Several studies have demonstrated the feasibility of these methods for various problems related to video retrieval and alignment independently, but testing in a unified framework has never been done. However, in real-world applications, it is also simultaneously necessary not only to find which video pairs are similar (video retrieval), but also to align the positions of the pairs that are related (video alignment). In this paper, we present a novel task: simultaneous video retrieval and alignment. As a solution to this task, a Simultaneous video Retrieval and Alignment framework, abbreviated as SRA, is proposed, which is a two-stage approach consisting of a foreground proposal stage and a downstream stage to efficiently process untrimmed videos. Furthermore, two criteria are suggested to support the new task: a metric mAP@J assessing how highly related videos are ranked and how well relevant positions are assigned in those videos, and a dataset FIVR+A that includes video-level relationships and hierarchical segment-level annotations. Finally, we conduct multi-pronged analyses to assess how our approach handles the new task in various experiments.
Flow-induced migration of polymers in dilute solution

We investigate the lateral migration of a confined polymer under pressure driven and uniform shear flows. We employ a hybrid algorithm which couples point particles to a fluctuating lattice-Boltzmann fluid. We observe migration in both uniform shear and pressure driven flows, supporting the idea that migration is driven by a combination of shear and hydrodynamic interactions with the wall, rather than by the shear gradient. Recent numerical and theoretical investigations have suggested that polymers migrate toward the centerline when hydrodynamic interactions are included, but our simulations show that in sufficiently narrow channels there is a reversal of direction and the polymers move toward the wall.