Miracle-dz/UniFAR-FTUs huggingface dataset:
AMPK and eNOS signaling regulates K-Ras plasma membrane interactions via cGMP-dependent Protein Kinase 2

AMPK and eNOS signaling regulates K-Ras plasma membrane interactions via cGMP1 dependent Protein Kinase 2 2 3 4 Kwang-jin Cho, Darren E. Casteel, Priyanka Prakash, Lingxiao Tan, Dharini van der Hoeven, 5 Angela A. Salim, Choel Kim, Robert J. Capon, Ernest Lacey, Shane R. Cunha, Alemayehu 6 A. Gorfe and John F. Hancock 7 8 9 1 Department of Integrative Biology and Pharmacology, University of Texas Health Science 10 Center at Houston, Medical School, Houston, Texas 11 2 Department of Medicine, University of California, San Diego, La Jolla, California 12 3 Department of Diagnostic and Biomedical Sciences, University of Texas Health Science 13 Center at Houston, School of Dentistry, Houston, Texas 14 4 Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Queensland, 15 Australia 16 5 Department of Pharmacology, Baylor College of Medicine, Houston, Texas 17 6 Microbial Screening Technologies Pty, Ltd., Building C, 28-54 Percival Road, Smithfield, New 18 South Wales, Australia 19 20 21 22 23 24 Corresponding Author: 25 John F Hancock 26 Email: john.f. hancock@uth.tmc. edu 27 Tel: 713-500-7356 28 29 30
Guaranteeing the Learning of Ethical Behaviour through Multi-Objective Reinforcement Learning

AI research is being challenged with ensuring that autonomous agents behave ethically, namely in alignment with moral values. A common approach, founded on the exploitation of Reinforcement Learning techniques, is to design environments that incentivise agents to learn an ethical behaviour. However, to the best of our knowledge, current approaches do not offer theoretical guarantees that an agent will learn an ethical behaviour. Here, we advance along this direction by proposing a novel way of designing environments wherein it is formally guaranteed that an agent learns to behave ethically while pursuing its individual objective. Our theoretical results develop within the formal framework of Multi-Objective Reinforcement Learning to ease the handling of an agent’s individual and ethical objectives. As a further contribution, we leverage on our theoretical results to introduce an algorithm that automates the design of ethical environments.
Superior Electron Transport and Photocatalytic Abilities of Metal-Nanoparticle-Loaded TiO2 Superstructures

Metal–semiconductor nanocomposites have been widely employed for designing efficient optoelectronic devices and catalysts. The performance of such nanocomposites is significantly influenced by both the method of preparation and the electronic and morphological structures of metals and semiconductors. Here, we have synthesized novel nanocomposites containing plate-like anatase TiO2 mesocrystal superstructures and noble metal (Au, Pt) nanoparticles. These metal nanoparticles were preferentially photodeposited on the edge of TiO2 mesocrystals. The electron transport and photocatalytic properties of the novel nanocomposites were subsequently studied. Single-molecule fluorescence spectroscopy measurements on a single particle directly revealed that most of the photogenerated electrons could migrate from the dominant surface to the edge of the TiO2 mesocrystal with the reduction reactions mainly occurring at its lateral surfaces containing {101} facets. The loading of metal nanoparticles on the superstructure o.
Towards Electronic Prescription System in a Developing Country

We proposed an architecture for a national electronic prescription system. This work is based on the HL7 CDA standard to represent the prescription, the ABE encryption to encrypt data, the private cloud as a storage solution, and the ABAC model to control access to the system. The proposed system is an adequate solution to solve some common medical errors in developing countries such as Algeria due to paper prescriptions. Our solution allows the integrity and confidentiality of medical prescriptions and offers sufficient flexibility and interoperability level.
A System for Relational Keyword Search Over Deep Web Data Sources

Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web . It is desirable to have a tool that can provide keyword search functionality on such data sources. However, to provide such functionality, we need to address the following challenges. First, we only know query schemas of deep web data sources and the real content of the back-end databases is hidden in web servers. Second, in most cases, no single database can provide all desired data, and many relationships between keywords of interest can only be derived by querying across multiple deep web data sources. Third, deep web data sources are often inter-dependent on each other. This implies that multiple data sources need to be queried in an intelligent order. Fourth, unlike most traditional databases, there is much data redundancy in deep web data sources. On one hand, we can take advantage of such data redundancy to generate multiple valid query plans for a single query. But, at the same time, data source selection and ranking become challenging problems. This paper considers answering keyword search queries in the context of a deep web integration system. We have developed a bidirectional query planning algorithm which is can generate multiple valid query answering plans based on a multi-source inter-dependence hyper-graph model. We also have designed a domain ontology to support data source selection and query answering plan ranking. To the best of our knowledge, our work is the (cid:12)rst to address the problem of answering such queries based on a dependence model, while also considering data source selection, on deep web data sources. Our experiments show that our bidirectional query planning algorithm can generate query answering plans with high relevance score and low execution time and our ontology based data source ranking strategy is e(cid:11)ective. For most cases, our algorithm can also generate query answering plans that are as good as the optimal plans generated by an exhaustive algorithm, while taking signi(cid:12)cantly less time. The quality of results produced by our implementation were evaluated by a collaborating biologist, who found that the answer extracted to be correct and complete.
Smart Interface Template and Conceptual Framework for Auto Interoperability in Healthcare Delivery System

This paper describes two components of the health care delivery system, the Smart Interface Template (SIT) and the Auto Data Mapping (interoperability) Process. The SIT, a reusable interface development method, has been designed and implemented successfully in the Chelsea and Westminster NHS Foundation Trust, London, UK. It has been used to develop various new Health Level Seven (HL7) message interfaces such as Patient Admission, Discharge and Transfer Messages (ADT), Order Messages (ORM), Result Messages (ORU), and Patient Visit (PV1 & PV2) between the diverse health care delivery systems. The Auto Data Mapping (ADM) on the other hand, is a conceptual framework for automating data mapping processes between the healthcare applications. This framework has the potential of increasing the efficiency of data by reducing human involvement in data mapping, particularly in heterogeneous healthcare delivery applications. The Auto Data Mapping (ADM) framework is an evidence-based tool which employs a computer-aided knowledge-based technique to generate Health Level 7 (HL7) message mapping rules.
Influence of harvest region on properties of Cambará wood

This research intends to evaluate the relation, aided by the Brazilian Standard and statistical analysis (Kruskal-Wallis ANOVA and bootstrap technique), between physical and mechanical properties of Cambará-Rosa wood harvested from three different regions: Vera, Mucajaí and South Rondonia. In addition, the possibility to estimate (regression models) physical and mechanical properties in function of apparent density was analyzed. Different climate and soil conditions which tree thrives may influence its growth and, consequently, its properties values. The results of ANOVA indicated an elevated equivalence index for all three regions. The bootstrap technique led to similar results for Vera and Mucajai regions, and for South Rondonia region, equivalence index equals to 89 %. The ANOVA results to estimate physical and mechanical properties in function of apparent density indicated that it is not possible to perform such estimates for Cambará-Rosa wood species.
Enabling Fine-Grained Reconstruction and Analysis of Web Attacks with In-Browser Recording Systems

The web has become a vector for attacks, and many of these attacks cannot be easily detected in real time. Because of this, we often find ourselves in the situation of analyzing past attacks retroactively. Therefore, performing refined forensic analysis on browser-based web attacks, such as drive-by download attacks, social engineering attacks, phishing attacks, and clickjacking attacks, is a consequential, challenging and time-consuming task. Previous approaches, based on sparse system logs and browser caches, can hardly reconstruct a precise view of an attack due to the lack of sufficient information. To solve this problem, an in-browser recording and replay system is needed. This system has to be always-on, be lightweight and have the ability to be integrated into different popular browsers and platforms including mobile devices. Since most web attacks are JavaScript-driven, we first propose to build up an novel system for in-browser recording and replay of JavaScript programs. We achieve our goal in two steps: a recording-only system (JSgraph) and a recording and replay system (JSCapsule). We propose JSgraph, a novel system for the in-browser recording and reconstruction of JavaScript programs. Our system considers the JavaScript engine as a black box with a thin instrumentation layer around it. At the time of recording, such instrumentation layer records inputs and behaviors to/from the JavaScript engine in order to enable a detailed, post-mortem reconstruction of ephemeral JS-based web attacks experienced by real network users. JSgraph is carefully designed to be lightweight and efficient, with a median overhead on popular website page loads between 3.2% and 3.9%. We also design the system to be portable, which means it can be integrated into different popular browser and platforms with minimal or no changes. A more generic framework upon Chrome’s DevTools is further designed to address the problems in JSgraph, which also provides the foundation to build an in-browser deterministic recording and replay system in the future. While JSgraph can reconstruct the JavaScript behaviors, it can not reconstruct any web attacks which does not leverage the visual lure to the user and the changes to the DOM. To address this problem, we propose JSCapsule, a novel system for the in-browser recording and replay of JavaScript programs, which provide us the ability to get step-by-step information of what happened in the JavaScript in order to have more precise understanding of attack codes for the deployment of counter defense. More future work on generating instrumentations for recording automatically is needed, in order to build a fully-deterministic recording and replay system for JavaScript execution to assist the analysis of web-borne attacks. Index words: Forensic analysis, In-Browser Recording and Reconstruction, In-Browser Recording and Replay, Phishing attack, Clickjacking attack, JavaScript debugging, Crash analysis Enabling Fine-Grained Reconstruction and Analysis of Web Attacks with In-Browser Recording Systems
Audiovisual AR concepts for laparoscopic subsurface structure navigation

The identification of subsurface structures during resection wound repair is a challenge during minimally invasive partial nephrectomy. Specifically, major blood vessels and branches of the urinary collecting system need to be localized under time pressure as target or risk structures during suture placement. This work presents concepts for AR visualization and auditory guidance based on tool position that support this task. We evaluated the concepts in a laboratory user study with a simplified, simulated task: The localization of subsurface target points in a healthy kidney phantom. We evaluated the task time, localization accuracy, and perceived workload for our concepts and a control condition without navigation support. The AR visualization improved the accuracy and perceived workload over the control condition. We observed similar, non-significant trends for the auditory display. Further, clinically realistic evaluation is pending. Our initial results indicate the potential benefits of our concepts in supporting laparoscopic resection wound repair.
Livestock management and dam removal allowed the recovery of an aquatic habitat for endangered frog and fish species in Argentinian Patagonia

Fil: Arellano, Maria Luz. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Division Zoologia de Vertebrados. Seccion Herpetologia; Argentina
Partial Oxidation of Propane Over Mo1V0.3Te0.23Nb0.12Ox Catalyst in a Fluidized Bed Reactor

A fluidized bed reactor, for the first time, was employed to investigate the partial oxidation of propane to acrylic acid over Mo1V0.3Te0. 23Nb0.12Ox catalyst. Effects of temperature, oxygen concentration, steam concentration, space velocity, and dilution with different sizes of SiC were studied and discussed. The reaction in the fluidized bed was compared with the reaction in the classical fixed bed. The results indicated that at constant temperature propane conversion obtained in the fixed bed reactor was higher. But the fluidized bed recompensed it by higher acrylic acid selectivity leading to acrylic acid yields and formation rates considerably over the fixed bed. In the fluidized bed reactor, an enhancement in the acrylic acid selectivity was observed over fixed bed at similar conversions. It is suggested that passing a large portion of gas phase oxygen through bubbles allows operation under lower oxygen partial pressure, which favors the desired reaction path. With the heat sink feature of the diluent, the catalytic performance is more influenced by dilution in the fixed bed. However, hot spots are less likely to occur in the fluidized bed and dilution has little effect on the catalytic performance. However, propane conversion increases slightly by increasing SiC particle diameter due to better fluidization quality.
Swelling of N-vinylcaprolactam-dodecyl methacrylate gel in {heptane + toluene} mixtures

A copolymer gel has been synthesized from N-vinylcaprolactam and dodecyl methacrylate in ethanol using the free radical cross-linking polymerization method. Characterizations of the gel were performed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and thermal gravimetric analysis (TGA) techniques. Swelling behavior of the gel was investigated in heptane, toluene, and their binary mixtures with different compositions. Swelling value in toluene is higher than that in heptane and swelling value increases with the increasing initial content of toluene in the binary mixture with heptane. The swelling values are correlated by the first- and second-order differential equations, and the best model correlating the experimental results is a second-order one. Diffusion coefficients have also been calculated for heptane and toluene at each concentration by power-law and first-order equations. While the diffusion mechanism of the gel in heptane is a Fickian one, the gel swelled in toluene exhibits a non-Fickian character. Diffusion mechanisms of the gels in binary mixtures are much more complicated. Because of the higher swelling degree in toluene compared to that in heptane, selectivity of the gel in different {heptane + toluene} mixtures with selectivity close to 1 has also been taken into consideration.
Reusable Energy Absorption Performance Based on Nanofluidic Systems

Using molecular dynamics simulations, we investigated the reusable performance of the nanofluidic energy absorption system (NEAS) to dissipate the impact energy created by a drop hammer (simulated by a carbon plate with an initial velocity and mass). The effects of nanopore flexibility and surface roughness on the reusable performance of NEAS are also considered. The results clearly shown that NEAS can only convert the mechanical energy into the solid–liquid interfacial energy (i.e., store it in the system) in the loading stage; the stored interfacial energy is gradually released and finally dissipated as heat by the solid–liquid interaction in the unloading stage. Therefore, the unloading response of NEAS decides whether or not the system can be reused for energy absorption, which is sensitive to the loading condition. Although NEAS behaves as a one-time used energy absorption material under quasi-static loading condition, it can be reused under dynamic loading condition. In addition, the nanopore surfac.
A study of syngas oxidation at high pressures and low temperatures

Ignition and oxidation characteristics of CO/H2, H2/O2 and CO/H2/CH4/CO2/Ar fuel blends in air were studied using both experimental and computer simulation methods. Shocktube experiments were conducted behind reflected shock waves at intermediate temperatures (825 < T < 1400 K) for a wide range of pressures (1 < P < 45 atm). Results of this study provide the first undiluted fuel-air ignition delay time experiments to cover such a wide range of syngas mixture compositions over the stated temperature range. Emission in the form of chemiluminescence from the hydroxyl radical (OH*) transition near 307 nm and the pressure behind the reflected shock wave were used to monitor reaction progress from which ignition delay times were determined. In addition to the experimental analysis, chemical kinetics calculations were completed to compare several chemical kinetics mechanisms to the new experimental results. Π Χ → Σ + 2 2 A Overall, the models were in good agreement with the shock-tube data, especially at higher temperatures and lower pressures, yet there were some differences between the models at higher pressures and the lowest temperatures, in some cases by as much as a factor of five. In order to discern additional information from the chemical kinetics mechanisms regarding their response to a wide range of experimental conditions, ignition delay time and reaction rate sensitivity analyses were completed at higher and lower temperatures and higher and lower pressures. These two sensitivity analyses allow for the identification of the key reactions responsible for ignition. The results of the sensitivity analysis indicate that the ignitionenhancing reaction H + O2 = O + OH and hydrogen oxidation kinetics in general were most important regardless of mixture composition, temperature or pressure. However, lower-
Energy Levels and SpectSSrum of Neutral Helium (4He I)

A table of energy levels based on the most accurate observations now available is given for the neutral 4He atom. The wavelengths contained in a revised list of 4He I lines from 320 A to 21132 A are also based on the best measurements, over half of them having been calculated from the wavenumber separations of appropriate levels. Several previously disturbing features of the 4He term scheme are obviated by the revised level values. In a discussion of the experimental results for this spectrum some comparisons with theory are made.
Determination of Five Active Constituents in Licorice and Its Processed Products

OBJECTIVE To establish a HPLC method for the simultaneous quantification of four flavonoids (liquiritin apioside , liquiritin,isoliquiritin apioside, isoliquiritin) and one triterpenoid (glycyrrhizic acid) in Radix Glycyrrhizae (licorice), honey-fried licorice, honey-soaked licorice and fried licorice. METHODS The samples were separated at 35 ℃ on a Hypersil ODS column with gradient elution and the mobile phase consisted of acetonitrile and 3% acetic acid.The flow rate was 0.6 mL·min-1 and the detection wavelength was set at 254 nm. RESULTS Five active constituents in the licorice were separated and determined simultaneously. The calibration curves of liquiritin apioside, liquiritin, isoliquiritin apioside, isoliquiritin and glycyrrhizic acid were linear over the range of 0.47-15.04 μg (r=0.999 6), 0.13-4.16 μg (r=0.999 5), 0.11-3.52 μg (r=0.999 9), 0.13-4.16 μg (r=0.999 8), 0.53-16.96 μg (r=0.999 0), and the recoveries of the 5 components were 97.7%, 100.8% , 99.7% , 100.5% and 99.6%, respectively. The relative standard deviations(RSD) were 0.4%,1.8%,1.5%,2.1% and 1.9%, respectively. The content of liquiritin in the honey-fried licorice was higher than that in the honey-soaked licorice, the contents of the other constituents were in descending order in the four different samples as follows: dry-fried licorice, licorice, honey-soaked licorice and honey-fried licorice. CONCLUSION The processing process has obvious effects on the contents of the five active constituents of licorice. The method is simple and convenient and it can be used for the quality control of the licorice and honey-fried licorice.
Two-Dimensional Transition Metal Dichalcogenide Monolayers as Promising Sodium Ion Battery Anodes

A family of transition metal dichalcogenide (TMD) nanosheets has recently shown its potential as negative electrodes in lithium ion batteries (LIBs). Herein, Na ion adsorption and migration properties as well as the possibility of phase transition induced by the Na adsorption on TiS2, VS2, CrS2, CoTe2, NiTe2, ZrS2, NbS2, and MoS2 are predicted using first-principles calculations. In terms of average voltage and capacity, M = Ti, Zr, Nb, and Mo are found to be suitable as anodes for sodium ion batteries (SIBs) with voltages of 0.49–0.95 V and theoretical capacities of 260–339 mA h g–1. Among the latter four screened TMDs, in particular, TiS2 and NbS2 are expected to maintain the same configurational phase upon sodiation (favorable kinetics) with Na ion migration barriers of 0.22 and 0.07 eV, respectively, suggesting that these TMD compounds could be promising for high-power energy storage applications. It is shown that a proper treatment of phase transitions during sodiation, though often neglected in the .
Non-linear viscoelasticity analysis for CTAB/NaSal wormlike micellar solution in large amplitude oscillatory shear

Non-linear viscoelastic behavior of a wormlike micellar solution of cetyltrimethylammonium bromide (CTAB) and sodium salicylate (NaSal) in the large amplitude oscillatory shear (LAOS) is examined. A transient response of the shear stress after applying a large amplitude sinusoidal strain is measured by the stress control rheometer. The start-up wave form of the shear stress is divided by four patterns, such as (a) no-stress overshoot, (b) linear shear hardening, (c) extreme shear hardening related with SIS and (d) stress fluctuation, by increasing the strain amplitude. After three cycles, the stress wave becomes a periodic steady pattern. The obvious non-linear behavior, the pattern (c) and (d), is observed at the strain amplitude γ0 =3 or higher. The periodic stress signal in the periodic steady state is evaluated by both the geometrical interpretation and the LAOS analysis of the new frameworks. As a result of separating the viscous and the elastic ingredient stress from the measuring stress, the rheology property changes suddenly around γ0=20. These characteristics correspond closely to specific flow behavior of a start-up shear flow in the same shear strain. The micelles structure is changed over a certain shear rate and strain, as known by SIS, shear-induced structure, and generate the opaque in the solution. In this case, the solution begins to be opaque at shear strain γ =3 and becomes most opaque around γ =20. Moreover, the onset condition coincides with the appearance of the higher odd harmonics in the periodic stress signal analyzed by FFT method.