Miracle-dz/UniFAR-FTUs huggingface dataset:
A concise metal-free synthesis of xanthene derivatives mediated by achiral 2-aminophenol under solvent-free conditions

Abstract An efficient green technique has been developed for the synthesis of some biologically active 12-aryl or 12-alkyl 8,9,10,12-tetrahydrobenzo[a]xanthenes-11-one and 3,3,6,6-tetramethyl-3,4,5,6,7,9-hexahydro-1H-xanthene-1,8(2H)-dione derivatives have been described. This process arranged a three-component one-pot condensation of aldehydes, 2-naphthol, and dimedone mediated by 2-aminophenol and has offered an excellent scope of tailoring a large number of xanthene derivatives with good to charming yields. Short reaction time, straightforward, easy product isolation technique, non-toxic catalyst, and above all metal-free process are noteworthy advantages of this method. Graphical Abstract
A new model of role-based access control

A new authoritative management model,N-RBAC,which is based on the combination of role hierarchy control with the user transaction limit is presented.The public authority of the role,the shadow authority based on the role hierarchy control,and the user's private transaction restraint are defined.Compared with the traditional RBAC or its revised model,the N-RBAC is more flexible and efficient,the contradiction of generality and individuality between the role and the user is resolved.It not noly simplifies the user authorization management in the information system,but it also enables those users with the same role to have the different operating limitation to the same function module.The detailed discussions are given about the principle of design and the implementation method of the N-RBAC.It is proved in application practice that the proposed model is easy in operation and flexible in establishment.
Development and Deployment of Renewable and Sustainable Energy Technologies

Solar and wind generation are one of the most rapidly growing renewable energy sources, and is regarded as an appealing alternative to conventional power generated from fossil fuel. This is leading to significant levels of distributed renewable generation being installed on distribution circuits. Although renewable generation brings many advantages, circuit problems are created due to its intermittency, and overcoming these problems is a key challenge to achieving high penetration. It is necessary for utilities to understand the impacts of Photovoltaic (PV) generation on distribution circuits and operations. An impact study is intended to quantify the extent of the issues, discover any problems, and investigate alternative solutions. In this manner, system wide and local impact study are proposed in the dissertation. 1) System wide impact study This study considers system effects due to the addition of Plug-in Hybrid Vehicles (PHEV) and Distributed Energy Resource (DER) generation. The DER and PHEV are considered with energy storage technology applied to the residential distribution system load. Two future year scenarios are considered, 2020 and 2030. The models used are of real distribution circuits located near Detroit, Michigan, and every customer load on the circuit and type of customer are modeled. Monte Carlo simulations are used to randomly select customers that receive PHEV, DER, and/or storage systems. The Monte Carlo simulations provide not only the expected average result, but also its uncertainty. 2) Local impact study Analysis of high PV penetration in distribution circuits using both steady-state and quasi steady-state impact studies are presented. The steady-state analysis evaluates impacts on the
Bathymetric Pose Graph Optimization with Regularized Submap Matching

The quality of sonar seabed mapping performed using autonomous underwater vehicles depends on the accuracy of the vehicle trajectory estimation. To reduce the accumulated pose estimation errors from dead reckoning, bathymetry observations from sonar sensors are often exploited within the framework of pose graph optimization, while the submaps of the seafloor are used to add loop-closure constraints to the pose graph by iterative closest point. However, matching with the submaps suffers from local minima because the seafloor is mostly flat and featureless. To resolve this issue, we regularized the sub-maps to enhance the spatial variations in the vertical direction; thus, we realized improved matching accuracy. Given these constraints, the pose graph can be optimized in real time and provide a corrected trajectory. The performance of the proposed method is validated through experiments using a surface vessel where the same navigation and sonar systems as used in the underwater vehicles are installed, in addition to a GPS receiver for ground truth acquisition.
Fabrication of a Human Skin Mockup with a Multilayered Concentration Map of Pigment Components Using a UV Printer

In this paper, we propose a pipeline that reproduces human skin mockups using a UV printer by obtaining the spatial concentration map of pigments from an RGB image of human skin. The pigment concentration distributions were obtained by a separating method of skin pigment components with independent component analysis from the skin image. This method can extract the concentration of melanin and hemoglobin components, which are the main pigments that make up skin tone. Based on this concentration, we developed a procedure to reproduce a skin mockup with a multi-layered structure that is determined by mapping the absorbance of melanin and hemoglobin to CMYK (Cyan, Magenta, Yellow, Black) subtractive color mixing. In our proposed method, the multi-layered structure with different pigments in each layer contributes greatly to the accurate reproduction of skin tones. We use a UV printer because the printer is capable of layered fabrication by using UV-curable inks. As the result, subjective evaluation showed that the artificial skin reproduced by our method has a more skin-like appearance than that produced using conventional printing.
Personal migrant stories as persuasive devices: Effects of audience–character similarity and narrative voice

The design of campaigns for the improvement of intergroup attitudes requires innovative approaches that consider both the characteristics of the messages and the psychological processes they evoke. This work addresses the study of factors that increase the persuasive effectiveness of testimonial messages aimed at improving attitudes towards stigmatized immigrants. An experiment was conducted using a representative sample of 443 participants of Spanish origin on the effect of similarity to the protagonist and the narrative voice. Two mediating mechanisms (identification with the protagonist and cognitive elaboration) were evaluated, and the indirect effect of the two independent variables was studied with respect to two dependent variables: the attitude towards immigration and the intention to collaborate with NGOs to support immigrants. Similarity to the protagonist of the narrative message increased identification only when the participants read the version written in the first person. In addition, a conditional process model was tested, revealing that identification increased cognitive elaboration, which, in turn, was associated with a more favorable attitude towards immigration and a greater intention to collaborate with immigrant support organizations. This study highlights the relevance of the characteristics of narrative messages to increase affective (identification) and cognitive (elaboration) processes that explain their persuasive impact. The results are discussed in the context of research on narrative persuasion and the design of campaigns for the prevention of racism and xenophobia.
MagCiM: A Flexible and Non-Volatile Computing-in-Memory Processor for Energy-Efficient Logic Computation

This paper presents a high-performance and energy efficient processor exploiting a Magnetoresistive-based Computing-in-Memory array architecture (so-called MagCiM processor), to perform Boolean logic functions on operands stored in a memory array. The proposed processor efficiently addresses the memory wall and the leakage power consumption problems in conventional processors. The MagCiM processor utilizes mCell memory, a class of Magnetoresistive memory employing only Magnetic Tunnel Junction (MTJ) devices, to realize both computation-in-memory and on-chip instruction and data memories. The mCell memory is characterized by almost zero leakage power, high integration density, high level of reliability, and compatibility with the CMOS VLSI fabrication process. The circuit-level simulation results through comparisons with the previous work reveal that the MagCiM processor provides low occupation area, low power, and energy consumption and offers Normally-off instant-on computing capability, which makes it very suitable for embedded system applications. Based on our evaluations, a conventional processor based on the well-known MIPS architecture consumes about 13 times more energy while having 1.5 times more delay than the MagCiM processor.
Improving Verbal Handoff for Patients Admitted From the Pediatric Emergency Department to Medical Inpatient Services

Objective Transitions of care are a well-identified source of adverse events. At our academic tertiary children's hospital, no standardized verbal handoff is used in the emergency department with a lack of education provided to clinicians on handoff. We aimed to increase the percent of handoffs from the pediatric emergency department to inpatient medical services including 7 critical elements and increase clinician score of individual handoffs and overall clinician satisfaction with handoff key components. Methods Study occurred from Fall 2017 through Winter 2019. After collecting baseline data, a modified I-PASS tool was visually integrated into work areas. Tool education was performed by brief lecture, with iterative education occurring cyclically. Handoff assessment and clinician satisfaction surveys were then recollected. Outcome measures included clinician scores of individual handoffs and overall satisfaction with handoff. Process measure was percent handoffs including 7 critical elements. Balancing measure was handoff length in minutes. Results Clinician satisfaction scores improved from baseline (response rate, 38%) to postintervention (response rate, 30%) in efficiency (57%–69%), detail (57%–66%), and safety (55%–64%). Clinician scores of individual handoffs improved from 66% rating very good or excellent at baseline to 77% postintervention. Handoff time did not increase. Percent handoffs with all 7 critical elements did not show improvement. Conclusions Trainee-led implementation of handoff standardization increased clinician satisfaction and clinician score of individual handoffs without compromising handoff length. Although feasibility can be a challenge, trainee-led quality improvement is meaningful and should be promoted and valued in graduate medical education, despite limitations.
Finite Element Analysis of Vibration Characteristics of Damped Composite Cantilever Beams

Based on the mechanism of sticking damping material on structure,this paper simulated the damped composite cantilever beam by choosing appropriate element in ANSYS.After the simulation,the loss factor got by the get command was consistent with experience formula,which revealed that the modeling was correct.Then,transient analysis of cantilever beam was done to see the time-domain curve,and this was consistent with the known facts.All that validated the correctness of the modeling.Compared with experiment and theory researches,this method is more simple and easier to implement.The right modeling of damped cantilever gives a guidance to other complex situations.
Changes in Microbiome Activity and Sporadic Viral Infection Help Explain Observed Variability in Microcosm Studies

The environmental conditions experienced by microbial communities are rarely fully simulated in the laboratory. Researchers use experimental containers (“bottles”), where natural samples can be manipulated and evaluated. However, container-based methods are subject to “bottle effects”: changes that occur when enclosing the plankton community that are often times unexplained by standard measures like pigment and nutrient concentrations. We noted variability in a short-term, nutrient amendment experiment during a 2019 Lake Erie, Microcystis spp. bloom. We observed changes in heterotrophic bacteria activity (transcription) on a time-frame consistent with a response to experimental changes in nutrient availability, demonstrating how the often overlooked microbiome of cyanobacterial blooms can be altered. Samples processed at the time of collection (T0) contained abundant transcripts from Bacteroidetes, which reduced in abundance during incubation in all bottles, including controls. Significant biological variability in the expression of Microcystis-infecting phage was observed between replicates, with phosphate-amended treatments showing a 10-fold variation. The expression patterns of Microcystis-infecting phage were significantly correlated with ∼35% of Microcystis-specific functional genes and ∼45% of the cellular-metabolites measured across the entire microbial community, suggesting phage activity not only influenced Microcystis dynamics, but the biochemistry of the microbiome. Our observations demonstrate how natural heterogeneity among replicates can be harnessed to provide further insight on virus and host ecology.
The Effectiveness of Psychoeducational Interventions in Adolescents’ Anxiety: A Systematic Review Protocol

The COVID-19 pandemic had a strong impact on increasing anxiety in adolescents. This systematic review aims to identify the most effective psychoeducational interventions for reducing anxiety in adolescents following the guidelines of the Joanna Briggs Institute (JBI). The inclusion and exclusion criteria have been defined, and the search strategy has been planned. The search strategy will aim to locate both published and unpublished studies using, among other databases: CINAHL Plus with Full Text; PubMed; the Cochrane Central Register of Controlled Trials; and the JBI Database of Systematic Reviews. Following the search, all identified citations will be collated and uploaded into Endnote, and duplicates removed. Titles and abstracts will then be screened by two independent reviewers and by a third reviewer if a disagreement occurs. The results of the search will be reported in full in the final systematic review and presented in the PRISMA flow diagram. Eligible studies will be critically appraised for methodological quality using standardized critical appraisal instruments from the JBI. Data will be extracted from the studies included using the standardized JBI data extraction tool. For data synthesis, studies will be pooled using JBI SUMARI. The GRADE approach for grading the certainty of evidence will be followed, and a summary of findings will be created using GRADEPro GDT software. The results from this systematic review are expected to provide an overview of the most effective psychoeducational interventions for reducing anxiety in adolescents, allowing researchers to design and propose a new multicomponent psychoeducational intervention that will be validated and tested in the future. PROSPERO protocol registration number: CRD42020204356.
Sustainable portfolio re-equilibrium on wind-solar-hydro system: An integrated optimization with combined meta-heuristic

Due to the intermittency of renewable energies, their acceptances in electricity market are lower than fossil energies. Therefore, it is necessary to overcome the development resistance through portfolio re-equilibrium. Balance supply and demand in markets involving different stakeholders to optimize return on investment. Compared with the past, this paper proposes an integrated optimization with combined meta-heuristic for wind-solar-hydro system. It investigates to coordinate the interactions of power stations and power grid with their internal conflicts respectively. Specifically, the investment profit, the investment volume and the investment risk are considered as the optimized objectives for wind-solar-hydro system. However, power grid takes operation efficiency, surplus electricity and carbon emissions into account to be the optimal objectives. They are composed to establish a bi-level programming model. Moreover, an improved particle swarm optimization is utilized to deal with the problem-orientated model with NP-hard complexity. Finally, to verify the feasibility of the proposed model, a case of wind-solar-hydro system from Panzhihua located in southwest China is conducted. The results showed that portfolio re-equilibrium strategies had the potential to push forward sustainable development. Secondly, generating capacity was positively affected by the initial investment volume. However, the investment profit did not absolutely rise with the grow of investment risk. Thirdly, profit-oriented strategies were conducive to carbon emissions reduction. But risk-oriented strategies can reduce surplus electricity and increase the stability of electricity purchase schemes.
What Determine the Performance of the ENSO‐East Asian Winter Monsoon Relationship in CMIP6 Models?

This study evaluates the relationship between El Niño‐Southern Oscillation (ENSO) and the East Asian winter monsoon (EAWM) in 26 Coupled Model Intercomparison Project Phase 6 (CMIP6) models. Of particular concern is the plausible factors for the model's capability of simulating the ENSO‐EAWM relationship. Results show that the model's ability of simulating the ENSO‐EAWM relationship is more dependent upon the longitudinal extension of ENSO‐related equatorial Pacific sea surface temperature (SST) anomalies than the amplitude of the equatorial central‐eastern Pacific SST anomalies. The influence of the amplitude of ENSO on the simulation of the ENSO‐EAWM relationship depends on the westward extension of ENSO‐related equatorial Pacific SST anomalies. Another factor for the model's ability of simulating the ENSO‐EAWM relationship is the SST anomalies in the tropical western North Pacific (WNP). A westward extension of the equatorial Pacific SST anomalies shifts the west branch of anomalous Walker circulation too far westward, which causes westward displaced anomalous ascending (descending) motion around the Philippines through modulating regional meridional vertical circulation in El Niño (La Niña) years. The weak SST anomalies in the tropical WNP lead to the failure of inducing anomalous lower‐level anticyclone (cyclone) over the Philippine Sea through a Rossby wave response in El Niño (La Niña) years. The accompanying weak anomalous lower‐level southwesterly (northeasterly) winds along the west flank of the anomalous anticyclone (cyclone) account for the weak ENSO‐EAWM relationship.
A Dual Slant-Polarized Cylindrical Array of Tightly Coupled Dipole Antennas

This study proposes a design of a low-profile ultra wide-band cylindrical antenna array with plus/minus 45-degree dual polarization. The proposed compact cylindrical antenna array produces an omnidirectional radiation pattern in the azimuth plane to cover all directions. It consists of $20\times 4$ dual-polarized elements within a diameter of 131 mm and a height of 116 mm. The array elements are tightly coupled slant-polarized wideband dipole antennas, and hence, rotational symmetry of radiation patterns in the horizontal plane is achieved for the two orthogonal polarizations. Furthermore, a metasurface structure has been designed and placed over the interconnected array elements to achieve ultrawideband capabilities. The proposed array provides less than −10 dB reflection coefficient over a frequency band between 1.7 GHz and 5.9 GHz. The cross-polarization discrimination (XPD) is 15 dB at boresight in the azimuth plane. The electromagnetic characteristics of the cylindrical array and its corresponding planar array before bending have been evaluated and compared via simulations, and verified by measurements. The compact size, lightweight, and printable design of the proposed antenna array enable low-cost manufacturing and ease of installation. The proposed array design overcomes many challenges encountered in wide-band MIMO systems by covering the entire sub-6 GHz band while providing wide 360-degree coverage in the azimuth plane, hence, supporting multibeam applications.
Adaptive Fuzzy Backstepping Asymptotic Disturbance Rejection of Multiagent Systems With Unknown Model Dynamics

This article presentsan adaptive fuzzy asymptotic disturbance rejection scheme for multiagent mechanical systems with unknown model dynamics and unknown frequency disturbances. The mechanical motion equations are expressed as the parameterized equations and the disturbances are described by unknown parametric exogenous system. The unknown parametric exogenous system is transformed into the canonical model with unknown disturbances as the inputs. The disturbance filter provides estimations of the state vector in the canonical model such that disturbances are represented as parameterized forms with exponentially decaying errors. The disturbance rejection can be converted into the adaptive control. Based on the adaptive vectorial fuzzy backstepping, the disturbance rejection formation controller is designed with the fuzzy logic systems approximating the model unknown dynamics. The adaptive robust control term attenuates fuzzy approximation errors. In contrast to the existing results, the adaptive fuzzy disturbance rejection formation control realizes the estimation and rejection for unknown frequency disturbances without requiring the a priori knowledge of model dynamics. Based on the Barbalat’s lemma, it is shown that the adaptive disturbance rejection controller achieves the asymptotic formation tracking. Application on the surface vessel formation confirms the availability.
Atmospheric River Storm Flooding Influences Tidal Marsh Elevation Building Processes

Disturbances are a key component of ecological processes in coastal ecosystems. Investigating factors that affect tidal marsh accretion and elevation change is important, largely due to accelerating sea‐level rise and the ecological and economic value of wetlands. Sediment accumulation rates, elevation change, and flooding were examined at five marshes along a riverine‐tidal gradient in the northern San Francisco Bay‐Delta, California, USA during an Atmospheric River storm event in 2017 using Surface Elevation Tables (SETs), feldspar marker horizons (MH), and continuous water‐level sensors. Our results showed that localized marsh flooding increased during the storm event, but not evenly across sites. Marsh surface elevation increased the most at the tidal freshwater marsh site in response to the storms, with an average surface elevation gain of 45.6 ± 13.1 mm, and the least at a tidal saline marsh with an average surface elevation gain of 4.0 ± 1.2 mm. A marsh located on the large embayment did not exhibit an immediate response to the storm but had a surface elevation gain of 21.5 ± 13.7 mm 6 months after the storm. During the storm period, marsh distance to the bay was the strongest predictor of elevation change, followed by SET‐MH elevations. Conversely, during non‐storm periods, SET‐MH elevation was a relatively strong predictor of elevation change. Atmospheric Rivers appear to be a major factor affecting short‐term spatial and temporal variability in flooding and sedimentation rates in tidal marsh systems. Incorporating information about storms into monitoring could increase our understanding of how episodic storms can impact marshes.