Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Dose Vasopressin and Renal Perfusion in Pediatric Cardiac Surgery

Background: Congenital heart surgeries are associated with post-bypass renal and cardiac dysfunctions. The use of low-dose vasopressin has been found to be beneficial in adult cardiac surgeries. Objective: To assess the hemodynamic and renal effects of patients undergoing on-pump pediatric cardiac surgery under general anesthesia (GA) with low-dose vasopressin infusion. Design: Prospective randomized controlled study. Setting: Operation room and ICU, tertiary care teaching hospital. Patients: Fifty-five pediatric cardiac patients undergoing repair for congenital heart diseases (CHD). Interventions: Low-dose vasopressin infusion in the study group and placebo in the control group. Measurements and Main Results: Renal near-infrared spectroscopy (NIRS), serum NGAL, and inflammatory mediators—IL6 and IL8 along with other renal and hemodynamic parameters in the perioperative period were recorded. Diastolic blood pressure (DBP) and cardiac index were significantly higher in the vasopressin group. Inflammatory markers were significantly high in the immediate postoperative period in all patients which later stabilized in the next 48 h but showed similar trends in both groups. Low-dose vasopressin infusion did not improve either renal perfusion or function. The duration of mechanical ventilation and length of hospital stay, the incidence of AKI development, and transfusion requirements were marginally lower in the vasopressin group, although not significant. Conclusion: Low-dose vasopressin infusion improved hemodynamics and showed a decreased incidence of complications. However, it failed to show any benefit of renal function and overall outcome in pediatric cardiac surgery.
Rarefaction-driven Rayleigh–Taylor instability. Part 2. Experiments and simulations in the nonlinear regime

Experiments and large eddy simulation (LES) were performed to study the development of the Rayleigh–Taylor instability into the saturated, nonlinear regime, produced between two gases accelerated by a rarefaction wave. Single-mode two-dimensional, and single-mode three-dimensional initial perturbations were introduced on the diffuse interface between the two gases prior to acceleration. The rarefaction wave imparts a non-constant acceleration, and a time decreasing Atwood number, $A=(\unicode[STIX]{x1D70C}_{2}-\unicode[STIX]{x1D70C}_{1})/(\unicode[STIX]{x1D70C}_{2}+\unicode[STIX]{x1D70C}_{1})$ , where $\unicode[STIX]{x1D70C}_{2}$ and $\unicode[STIX]{x1D70C}_{1}$ are the densities of the heavy and light gas, respectively. Experiments and simulations are presented for initial Atwood numbers of $A=0.49$ , $A=0.63$ , $A=0.82$ and $A=0.94$ . Nominally two-dimensional (2-D) experiments (initiated with nearly 2-D perturbations) and 2-D simulations are observed to approach an intermediate-time velocity plateau that is in disagreement with the late-time velocity obtained from the incompressible model of Goncharov (Phys. Rev. Lett., vol. 88, 2002, 134502). Reacceleration from an intermediate velocity is observed for 2-D bubbles in large wavenumber, $k=2\unicode[STIX]{x03C0}/\unicode[STIX]{x1D706}=0.247~\text{mm}^{-1}$ , experiments and simulations, where $\unicode[STIX]{x1D706}$ is the wavelength of the initial perturbation. At moderate Atwood numbers, the bubble and spike velocities approach larger values than those predicted by Goncharov’s model. These late-time velocity trends are predicted well by numerical simulations using the LLNL Miranda code, and by the 2009 model of Mikaelian (Phys. Fluids., vol. 21, 2009, 024103) that extends Layzer type models to variable acceleration and density. Large Atwood number experiments show a delayed roll up, and exhibit a free-fall like behaviour. Finally, experiments initiated with three-dimensional perturbations tend to agree better with models and a simulation using the LLNL Ares code initiated with an axisymmetric rather than Cartesian symmetry.
Impact of the plasma geometry on divertor power exhaust: experimental evidence from TCV and simulations with SolEdge2D and TOKAM3X

A deep understanding of plasma transport at the edge of magnetically confined fusion plasmas is needed for the handling and control of heat loads on the machine first wall. Experimental observations collected on a number of tokamaks over the last three decades taught us that heat flux profiles at the divertor targets of X-point configurations can be parametrized by using two scale lengths for the scrape-off layer (SOL) transport, separately characterizing the main SOL ( λ q ) and the divertor SOL (Sq). In this work we challenge the current interpretation of these two scale lengths as well as their dependence on plasma parameters by studying the effect of divertor geometry modifications on heat exhaust in the Tokamak à Configuration Variable. In particular, a significant broadening of the heat flux profiles at the outer divertor target is diagnosed while increasing the length of the outer divertor leg in lower single null, Ohmic, L-mode discharges. Efforts to reproduce this experimental finding with both diffusive (SolEdge2D-EIRENE) and turbulent (TOKAM3X) modelling tools confirm the validity of a diffusive approach for simulating heat flux profiles in more traditional, short leg, configurations while highlighting the need of a turbulent description for modified, long leg, ones in which strongly asymmetric divertor perpendicular transport develops.
Power Quality Improvement using Dual Multilevel Converter for Micro Grid-Connected PV Energy Systems using ANFIS

This paper presents the implementation of dual voltage source inverter (DVSI) approach to improve the microgrid performance by enhancing the power quality. This paper also improves the power quality in photovoltaic (PV) generation interactive microgrids, respectively. The power generated from PV based distributive energy resources (DER) is perfectly applied to the microgrid through the two inverters, thus the nonlinear and unbalance load related problems are compensated. Thus, the power quality problems such as voltage sag, current drops, and power factor, active, and reactive powers are reduced by dual multilevel converter (DMLC). This converter also used for cooperative controlling to minimize the unbalances and voltage harmonics in microgrid by using adaptive neuro fuzzy interface system (ANFIS) based controller, which is applied in the shunt and series manner between the two VSIs. The total load current is mutually shared among the series and shunt VSI, if one VSI fails, then the other VSI continues its operation. Thus, the DMLC components failure rate is reduced, and the system lost energy is also reduced, which leads to improved reliability by maintain the reduction of down time price at environmental free conditions. The proposed control model is implemented in MATLAB/Simulink environment, and the obtained results shows that the superiority of total harmonic distortion (THD) reduction by the proposed ANFIS controller as compared to the conventional artificial neural network (ANN) and fuzzy logic controllers (FLC) by eliminating all the load current and grid voltage-based harmonics.
Lactoferrin inhibits the proliferation of IMR‑32 neuroblastoma cells even under X‑rays

Neuroblastoma is a typical solid tumor common in childhood. The present study investigated the inhibitory effects of lactoferrin on the proliferation of IMR-32 neuroblastoma cells, including under X-ray irradiation. In controlled in vitro assays, it was found that lactoferrin inhibited cell proliferation, accompanied by cell membrane disruption. Furthermore, intracellular reactive oxygen species generation increased in IMR-32 cells treated with lactoferrin, causing membrane lipid peroxidation and the leakage of lactate dehydrogenase. The IC50 values for cell proliferation were ~2.0 nM for doxorubicin, 2.7 mM for dibutyryl-cAMP and 45.9 µM for lactoferrin. X-ray irradiation at 1 Gy decreased cell proliferation to ~30%, which was not restored by lactoferrin. In the Fenton reaction system with iron chloride, lactoferrin increased hydroxyl radical (OH·) formation via H2O2, as confirmed by electron spin resonance spectra. On the whole, the findings of the present study indicate that lactoferrin, found abundantly in milk, may help prevent or treat neuroblastoma in infants with modest efficacy, and does not exert a protective effect against X-rays.
SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms

Today's big data query engines are constantly under pressure to keep up with the rapidly increasing demand for faster processing of more complex workloads. In the past few years, FPGA-based database acceleration efforts have demon-strated promising performance improvement with good energy efficiency. However, few studies target the programming and design automation support to leverage the FPGA accelerator benefits in query processing. Most of them rely on the SQL query plan generated by CPU query engines and manually map the query plan onto the FPGA accelerators, which is tedious and error-prone. Moreover, such CPU-oriented query plans do not consider the utilization of FPGA accelerators and could lose more optimization opportunities. In this paper, we present SQL2FPGA, an FPGA accelerator-aware compiler to automatically map SQL queries onto the heterogeneous CPU-FPGA platforms. Our SQL2FPGA front-end takes an optimized logical plan of a SQL query from a database query engine and transforms it into a unified operator-level intermediate representation. To generate an optimized FPGA-aware physical plan, SQL2FPGA implements a set of compiler optimization passes to 1) improve operator acceleration coverage by the FPGA, 2) eliminate redundant computation during physical execution, and 3) minimize data transfer overhead between operators on the CPU and FPGA. Finally, SQL2FPGA generates the associated query acceleration code for heterogeneous CPUFPGA system deployment. Compared to the widely used Apache Spark SQL framework running on the CPU, SQL2FPGA—using two AMD/Xilinx HBM-based Alveo U280 FPGA boards—achieves an average performance speedup of 10.1x and 13.9x across all 22 TPC-H benchmark queries in a scale factor of 1GB (SF1) and 30GB (SF30), respectively.
Interplay between Diffusion and Bond Cleavage Reaction for Determining Release in Polymer–Drug Conjugates

In conjugated polymeric drug delivery systems, both the covalent bond degradation rate and the diffusion of the freely moving drug particles affect the release profile of the formulation. Using Monte Carlo simulations in spherical matrices, the release kinetics resulting from the competition between the reaction and diffusion processes is discussed. For different values of the relative bond cleavage rate, varied over four orders of magnitude, the evolution of (i) the number of bonded drug molecules, (ii) the fraction of the freely moved detached drug within the polymer matrix, and (iii) the resulting fractional release of the drug is presented. The characteristic release time scale is found to increase by several orders of magnitude as the cleavage reaction rate constant decreases. The two extreme rate-limiting cases where either the diffusion or the reaction dominates the release are clearly distinguishable. The crossover between the diffusion-controlled and reaction-controlled regimes is also examined and a simple analytical formula is presented that can describe the full dependence of the release time on the bond cleavage rate constant. This simple relation is provided simply by the sum of the characteristic time for purely diffusional release and the bond cleavage decay time, which equals the inverse of the reaction rate constant.
Coherent prohomotopy theory

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Variations in the 30–60‐Day Intra‐Seasonal Variability of Spring Precipitation Over the Mid‐Low Reaches of the Yangtze River and the Possible Mechanism

The precipitation intra‐seasonal variability (ISV) has an important influence on extreme precipitation events, profoundly influencing agricultural activities over the mid‐low reaches of the Yangtze River (MLRYR). Spectrum analysis reveals the existence of 30–60‐day ISV in the MLRYR spring precipitation. The mechanism analysis indicates that, on the intra‐seasonal time scale, the MLRYR precipitation ISV is primarily driven by a wave train over the Eurasian continent. The wave train, with an anomalous anticyclone (cyclone) over the East European Plain and an anomalous cyclone (anticyclone) over Central Asia, could cause more (less) precipitation over the MLRYR. On the inter‐annual and inter‐decadal time scales, the precipitation ISV intensity is influenced by a meridional dipole pattern of the westerly jet stream (WJS) over the Eurasian continent. The positive WJS pattern facilitates the barotropic instability generation and 30–60‐day ISV growth over the East European Plain. Therefore, the ISV intensity of the pronounced wave train is enhanced and further intensifies the MLRYR spring precipitation ISV. In contrast, the negative WJS pattern is unfavorable for regional barotropic instability generation, and therefore the spring precipitation ISV intensity over the MLRYR would be weak. Further analysis shows that the underlying snow cover and soil temperature anomalies could have a contribution to forming the WJS dipole pattern through changing the meridional temperature gradient. The results of this study could deepen our understanding of the spring precipitation ISV over the MLRYR and the mechanisms.
Potential Inhibition of ACE2 Membrane Protein by Flavone Glycosides for Blocking Entrance of SARS- CoV-2 into the Cells; a Computational Study

Severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2), since its emergence in Wuhan city of China in late 2019, had been a dilemma for the global healthcare system. Humongous efforts have been put in ascertaining the effective treatments for attenuation of the spread of corona virus disease (COVID-19) pandemic. The aim of this research study is to probe the potential inhibition of angiotensin converting enzyme 2 (ACE2) membrane protein by well-known flavone glycosides, hence preventing the binding of spike proteins with ACE2 and subsequent prevention of entry of SARS- CoV-2 inside the cells. The molecular docking analysis, for total ten flavone glycosides was carried out, that laid out propitious results in terms of binding energies towards the active residues of ACE2 protein with a range of -9.3 to -7.1 kcal/mol. The molecular dynamics simulation also yielded promising outcomes. The in-silico toxicity analysis of all the potential drug candidates was carried out that revealed that all the compounds were non-toxic and safe. Studies may be required for optimum formulation development using these compounds as a part of drug discovery and development phenomenon. This study may play a vital part in exploration of natural compounds in pharmacotherapy of COVID-19.
Lower Ionosphere Effects on Narrowband Very Low Frequency Transmission Propagation: Fast Variabilities and Frequency Dependence

The man‐made narrowband very low frequency transmission from Rhauderfehn, Germany, is studied using high accuracy, microsecond time resolution measurements in Bath, UK. The high time resolution enables a novel comparison of the measurements with a detailed simulation of the transmitted signal. It is found that the wave propagation frequency response exhibits nonlinear amplitude and phase changes with frequency over the narrow transmission bandwidth during the time of the measurements (13 May 2011 15:00:03–15:00:09 UTC). The high time resolution also enables measurements of fast variabilities in the wave propagation <5 ms. The fast propagation variabilities are likely to originate from integrated ionospheric variability over the propagation path or fast ionospheric processes. The wave propagation frequency response measurement has potential benefits in the study of the lower ionosphere, in particular during highly variable perturbations such as those caused by lightning.
Fast Evaluation of Grasp Stability by Using Ellipsoidal Approximation of Friction Cone

This paper presents a fast method of evaluating grasp stability when a multi-fingered hand grasps objects. Different from previous methods, we consider approximating the friction cone by using a few ellipsoids. By using this method, the total force/moment set applied to the grasped object can be obtained by a common set of multiple ellipsoids. This method is not conservative but effective since approximated force closure is tested by simply calculating the inequalities of quadratic form. Moreover, by using the ellipsoidal approximation, we propose an easy method of evaluating the grasp stability. We show that the grasp stability can be easily calculated by using simple equations. The effectiveness of the proposed method is verified by several numerical examples where we show that the proposed method has practical accuracy for real applications and evaluates the grasp stability much faster than conventional methods.
Reflections on the coproduction of a crisis-focused intervention for inpatient settings underpinned by a Cognitive Behavioural Therapy for psychosis (CBTp) model

Background: Psychological interventions delivered in inpatient settings have rarely been coproduced with those who receive them. The aim of this study is to outline the coproduction process which led to the development of an adapted inpatient intervention underpinned by a Cognitive Behaviour Therapy for psychosis model. Method: Our coproduction group was comprised of experts by experience, family and carers, multi-disciplinary clinicians, and researchers. The group met monthly to develop the intervention and focused on eight key areas of the intervention, including therapist values, assessment, formulation, coping strategies, crisis/safety plans, and discharge plans. Results: The coproduction panel highlighted the importance of flexible delivery of the intervention, developing a trusting relationship with the therapist, advocacy, prioritising patient safety on the ward, managing the impacts of inpatient care, preparing for discharge, and having family, carer and community involvement. Challenges of the coproduction process included having a pre-existing intervention model that was being adapted rather than coproducing a new one, discussing emotionally charged issues, and having limited time to coproduce the intervention. Discussion: Coproduction brought immense value to the development of this intervention, ensuring it was culturally competent and suitable for the inpatient setting. Further research should be undertaken exploring the coproduction process applied to clinical research.
On the computational approaches for supporting triage systems

Triage procedure is used in Emergency Departments (ED) to manage the patient's treatment and prioritise care access. This is a largely resource‐consuming phase and relevant to reduce risk and optimise resource management. Moreover, the presence of patients in the ED (both in treatment rooms and in waiting rooms after triage) may increase the patients' time of stay, thus creating problems for critical patients and for healthcare process management. Moreover, it has been proved that a large fraction of ED incoming patients do not require emergency treatments and might be treated in ambulatory or by family doctors. In such cases, the triage wastes resources and time. In addition, the decision of a low priority or no ED necessity is relevant considering that underestimating treatment necessity may cause errors in patient treatments. Improving triage related decisions is a relevant task. It has been shown that computational methods such as machine learning (ML) may support triage by providing better stratification of patients as well as better results in terms of outcome. We here present a literature review discussing some recent approaches to predict the severity of patients and in particular, we present recent approaches based on ML. We use PRISMA methodology to include works in our analysis. Finally, the future directions of research and open problems are highlighted.
Comparing Benthic Assemblages between Nocomis Nests and Ambient Substrate in South Carolina Streams

Abstract - Ecosystem engineers modify instream habitat to the benefit or detriment of other species. Nocomis leptocephalus (Bluehead Chub) is a widespread minnow (Actinopterygii: Leuciscidae) native to small- to medium-sized streams in the Atlantic slope of the southeastern United States. By constructing large gravel-mound nests in pools for spawning, Bluehead Chubs are common ecosystem engineers that transport and concentrate gravel to form unique structures on the benthoscape. These nests are occupied by a diversity of benthic taxa and can persist up to 6 months before being destroyed by winter floods. In this study, we surveyed benthic assemblages occurring on chub nests and a similar volume of paired ambient substrate, and identified individuals to the genus or family level. Mixed-effects models indicated that overall counts, taxa richness, and Shannon diversity of benthic assemblages were similar between nests and ambient substrate. However, canonical correspondence analysis revealed differences in taxonomic composition between nests and ambient substrate. Several riffle-associated taxa occurred uniquely in chub nests, while many other taxa were found only in paired samples. Understanding the temporal and spatial scales at which the chub nest –insect interaction is relevant will be important for identifying the role of ecosystem engineering by chubs for structuring benthic assemblages.
Exploring an Integrated System for Urban Stormwater Management: A Systematic Literature Review of Solutions at Building and District Scales

Climate change has aggravated the frequency and severity of extreme weather events, particularly in flood-related hazards. Cities nowadays face significant challenges in stormwater management from frequent heavy rainfalls. Traditional urban drainage systems can no longer cope with large amounts of surface runoff; cities are searching for new ways to deal with urban stormwater. Green roofs and other nature-based solutions have been widely used for stormwater management by combining water purification and retention functions but have not yet fully solved the flood problems. This article aims to (1) explore the different aspects of urban water management, particularly the urban stormwater topic, and (2) identify the existing solutions and discuss the potential and barriers to integrated solutions implementation. By introducing the concept of four domains and finding the overlapping area to investigate, we analyzed different solutions to reduce rainwater runoff from the roof and ground level, aiming at building and district scales. This paper proves that further research direction could constitute an integrated system to work together for urban stormwater management.