Miracle-dz/UniFAR-FTUs huggingface dataset:
Error Reporting and Disclosure

Sustained and collaborative efforts to reduce the occurrence and severity of health care errors are required so that safer, higher quality care results. To improve safety, error-reporting strategies should include identifying errors, admitting mistakes, correcting unsafe conditions, and reporting systems improvements to stakeholders. The greater the number of actual errors and near misses reported, the more reliable a health care organization or system could be, from a safety viewpoint, when systems improvements are consistent with error patterns.Clinicians appreciate seeing the results of the reports they submitted transformed into systems improvements. Understanding and communicating the root causes of errors and near misses can decrease the risk of future errors, and support the concept that health care errors are often systemic and multifactorial. Reporting errors and near misses may increase through voluntary reporting systems, because voluntary systems provide additional evidence that the blame/shame patterns are being eliminated in health care organizations and systems.Electronic error-reporting systems can possibly make the time required to report shorter, shorten the time for correcting unsafe conditions, and alert providers to emerging unsafe patterns. Some systems can also facilitate quality improvement initiatives through enhanced error-reporting systems. The benefits of Web-based health care reporting systems that clinicians find easy to use and see the effects of their reporting in changes to systems might ultimately reduce the incidence of serious errors, and significantly improve the safety and quality of health care afforded patients.
A Reassessment of the Relation Between Economic Growth and Maldistribution of Income

This article aims to evaluate the effect of the maldistribution of income on economic growth. From the empirical point of view, the literature on the matter is considerable. However, previous studies have employed the Gini index as a measure of inequality which tends to underestimate income disparities across countries. Because the complexity of inequality has changed over time and due to the Gini index is incapable of capturing the changing nature of distribution, we employ the Palma Ratio instead of the Gini index. The main advantage of employing the Palma Ratio is that it captures the dynamics of inequality and allows us to analyze the roots of this maldistribution. The relationship is estimated employing the methodology of Arellano-Bond for dynamic panels, and the results suggest that maldistribution of income generates a sluggish economic growth. In fact, our results suggest that inequality could be associated with a substantial reduction in growth.
Material to the Letter ’ A table-top ultrashort light source in the extreme-ultraviolet for time-resolved circular dichroism experiments ’

We detail herein the time-dependent Schrödinger equation (TDSE) calculations which show that resonances, including bound, shape and more generally continuum ones, are amenable to enhance the ellipticity of the harmonic emission. We further illustrate how a shape resonance structures the laser-driven returning electron wavepacket, which is at the origin of the ellipticity enhancement. Atomic units are used throughout unless otherwise stated.
Numerical Studies on Control of Flow Around a Circular Cylinder(要旨)

In order to solve problems occurring in a flow around a bluff body, various control methods have been proposed and investigated. However, each of those control methods can be used only in limited circumstances, and still leaves room for improvement in performances. This thesis deals with a circular cylinder as simplest bluff body, and describes the following two numerical investigations on control of flow around a circular cylinder. Especially, this thesis focuses on the energy dissipation, and reveals the role of the energy dissipation in the passive control and relationship between the control effect and the energy dissipation. In the first study, control of a flow around a circular cylinder having a porous surface has been investigated by means of the direct numerical simulation (DNS) and the large eddy simulation (LES). The best set of permeability and porosity is determined by a two-dimensional parametric study at the Reynolds number of Re = 1000. Subsequently, the control effects are investigated in detail using a three-dimensional DNS at Re = 1000. Numerical simulations at different Reynolds numbers and with different thicknesses of porous surface are also performed. It is found that the porous surface suppresses flow fluctuations near the cylinder and this control effect becomes prominent at higher Reynolds numbers and with thicker porous surfaces. In the most effective case, the vortex shedding is completely suppressed and the flow field is found to be similar to that in a previous experimental study. Moreover, the slip velocity on the porous surface and the energy dissipation process inside the porous media are found to play an important role for the flow modifications. In the second study, taking into account this control mechanism by the energy dissipation, a control minimizing the energy dissipation in a flow around a circular cylinder has been examined using a two-dimensional DNS. First, a relationship between the energy dissipation in the domain and a quantities defined on the cylinder surface is derived. By implementing the derived relationship into the cost function, the energy dissipation is minimized using the suboptimal control theory. In order to maximize the control performance, parametric studies on the control time interval is performed and the best control results are compared with previously proposed suboptimal controls. Although the present scheme does not improve the control performance at Re = 100, but shows a better performance in the energy dissipation at Re = 1000. It is also found that the present control shows a greater amount of drag reduction with a better energy efficiency. Furthermore, the obtained control input shows better control effects when it is applied to a predetermined control without sensors and the control of a three-dimensional flow.
Machine learning algorithms for distributed operations in internet of things IoT

Generally, the things that have the great role in facilitating the emergence of internet-connected sensory devices can be embodied in the developments that happen in the sphere of software, hardware, and communication technologies. The internet-connected sensory devices present perceptions and measurements of data from the real world. It is suggested that nearly through 2020, the total use of internet-connected devices may reach to 25 to 50 billion. Actually, the relation between technologies and the volume of data being published is kept in one line. That is, if there is growth in the technologies, the volume of the data will be increased. Such technology, i.e. internet-connected devices, can be called as Internet of Things (IoT). Its role is to connect the real world with the cyber one. Furthermore, generating great data with velocity as its main characteristic will help in increasing the volume of IoT. To develop smart IoT applications, one can use such intelligent processing and analyzing such big data. In this paper, we tend to study the impact of implementing machine learning (ML) algorithms and methods and their efficiency in the IoT domain. As well as explore how these algorithms help in founding efficient backbone solutions to analyze and estimate the huge amounts of data that are expected to arise in the coming few years due to the rapid growth on demands for IoT based applications.
A one-step biofunctionalization strategy of electrospun scaffolds enables spatially selective presentation of biological cues

To recapitulate the heterogeneous complexity of tissues in our body with synthetic mimics of the extracellular matrix (ECM), it is important to develop methods that can easily allow the selective functionalization of defined spatial domains. Here, we introduce a facile method to functionalize microfibrillar meshes with different reactive groups able to bind biological moieties in a one-step reaction. The resulting scaffolds proved to selectively support a differential neurite growth after being seeded with dorsal root ganglia. Considering the general principles behind the method developed, this is a promising strategy to realize enhanced biomimicry of native ECM for different regenerative medicine applications.
Title Phylogenetic Distinctiveness of a Threatened Aquatic Turtle ( Ster nother us depressus ) Permalink

The musk turtle ( Sternotherus minor ) is common throughout the southeastern United States. In 1955 a morphologically atypical form confined to the Black Warrior River System in Alabama was discovered and accorded full species status as S. depressus , the “flattened musk turtle. ” Questions remain about the taxonomic status and evolutionary history of the flattened musk turtle because (1) the geographic distribution of S. depressus is nested within the range of S. minor ; (2) the flattened shell might be a recently evolved anti-predator adaptation; and (3) reports exist of intergrades between S. depressus and S. minor . We generated and employed sequence data from mitochondrial DNA to address the phylogenetic distinctiveness and phylogeographic position of S. depressus relative to all other musk and mud turtles (Kinosternidae) in North America. The flattened musk turtle forms a well-supported monophyletic group separate from S. minor . Genetic divergence observed between S. depressus and geographic populations of S. minor is no less than that distinguishing many kinosternid congeners from one another. These molecular genetic findings bolster rationale for the taxonomic recognition of S. depressus and, hence, for special efforts to protect this federally threatened species. Distintividad Filogenética de una Tortuga Acuática Amenazada ( Sternotherus depressus ) Resumen: Las tortugas acuáticas (“musk turtles”) de la especie Sternotherus minor (familia Kinosternidae) están ampliamente distribuidas en la región sudeste de los Estados Unidos de Norteamérica. En 1955, una variedad de musk turtle morfológicamente atípica, con el caparazón notoriamente comprimido y restringida a la cuenca del río Black Warrior en Alabama, fue descrita y asignada a una especie nueva, S. depressus (“flattened musk turtle”). Posteriormente, el origen evolutivo y el estatus taxonómico de esta nueva especie han sido cuestionados debido a: (1) su restringida distribución geográfica esta anidada dentro del rango de distribución de S. minor ; (2) El caparazón aplanado podría ser una adaptación anti-depredador recientemente evolucionada; y (3) existen reportes de morfologías intermedias entre S. depressus y S. minor . En el presente trabajo se emplean secuencias de ADN mitocondrial para evaluar la identidad genética, posición filogenética, y distribución filogeográfica de S. depressus en relación a las demás especies norteamericanas de la familia Kinosternidae. Los datos obtenidos confirman la identidad de S. depressus como una especie separada genéticamente de la poblaciones locales de S. minor , y de las otras especies de la familia Kinosternidae. Estos resultados sugieren el reconocimiento taxonómico de S. depressus y justifican los esfuerzos conservacionistas para proteger esta especie amenazada.
Toward a Measurement of Co-Curricular Support: Insights from an Exploratory Factor Analysis

The purpose of this work-in-progress paper is to share insights from current efforts to develop and test the validity of an instrument to measure undergraduate students’ perceived support in science, technology, engineering, and mathematics (STEM). The development and refinement of our survey instrument ultimately functions to extend, operationalize, and empirically test the Model of Co-curricular Support (MCCS). The MCCS is a conceptual framework of student support that demonstrates the breadth of assistance currently used to support undergraduate students in STEM, particularly those from underrepresented groups. We are currently gathering validity evidence for an instrument that evaluates the extent to which colleges of engineering and science offer supportive environments. To date, exploratory factor analysis and correlation for construct validity have helped us develop 14 constructs for student support in STEM. Future work will focus on modeling relationships between these constructs and student outcomes, providing the explanatory power needed to explain empirically how co-curricular supports contribute to different forms of student success in STEM. We hope that operationalizing the MCCS through this survey will shift how we conceptualize and offer student support, enabling college administrators and student support practitioners to evaluate their portfolio of student support efforts.
Protein kinase C zeta suppresses low- or high-grade colorectal cancer (CRC) phenotypes by interphase centrosome anchoring suppresses

Histological grading provides prognostic stratification of colorectal cancer (CRC) by scoring heterogeneous phenotypes. Features of aggressiveness include aberrant mitotic spindle configurations, chromosomal breakage, and bizarre multicellular morphology, but pathobiology is poorly understood. Protein kinase C zeta (PKCz) controls mitotic spindle dynamics, chromosome segregation, and multicellular patterns, but its role in CRC phenotype evolution remains unclear. Here, we show that PKCz couples genome segregation to multicellular morphology through control of interphase centrosome anchoring. PKCz regulates interdependent processes that control centrosome positioning. Among these, interaction between the cytoskeletal linker protein ezrin and its binding partner NHERF1 promotes the formation of a localized cue for anchoring interphase centrosomes to the cell cortex. Perturbation of these phenomena induced different outcomes in cells with single or extra centrosomes. Defective anchoring of a single centrosome promoted bipolar spindle misorientation, multi-lumen formation, and aberrant epithelial stratification. Collectively, these disturbances induce cribriform multicellular morphology that is typical of some categories of low-grade CRC. By contrast, defective anchoring of extra centrosomes promoted multipolar spindle formation, chromosomal instability (CIN), disruption of glandular morphology, and cell outgrowth across the extracellular matrix interface characteristic of aggressive, high-grade CRC. Because PKCz enhances apical NHERF1 intensity in 3D epithelial cultures, we used an immunohistochemical (IHC) assay of apical NHERF1 intensity as an indirect readout of PKCz activity in translational studies. We show that apical NHERF1 IHC intensity is inversely associated with multipolar spindle frequency and high-grade morphology in formalin-fixed human CRC samples. To conclude, defective PKCz control of interphase centrosome anchoring may underlie distinct categories of mitotic slippage that shape the development of low- or high-grade CRC phenotypes.
Behavioral Malware Detection Using Deep Graph Convolutional Neural Networks

Malware behavioral graphs provide a rich source of information that can be leveraged for detection and classification tasks. In this paper, we propose a novel behavioral malware detection method based on Deep Graph Convolutional Neural Networks (DGCNNs) to learn directly from API call sequences and their associated behavioral graphs. In order to train and evaluate the models, we created a new public domain dataset of more than 40,000 API call sequences resulting from the execution of malware and goodware instances in a sandboxed environment. Experimental results show that our models achieve similar Area Under the ROC Curve (AUC-ROC) and F1-Score to Long-Short Term Memory (LSTM) networks, widely used as the base architecture for behavioral malware detection methods, thus indicating that the models can effectively learn to distinguish between malicious and benign temporal patterns through convolution operations on graphs. To the best of our knowledge, this is the first paper that investigates the applicability of DGCNN to behavioral malware detection using API call sequences.
Analysis of Switched Capacitor Losses in Polar and Quadrature Switched Capacitor PAs

This brief derives the efficiency limitations of switched capacitor power amplifiers (SCPAs) due to switched capacitor (SC) losses during charging and discharging of their capacitor arrays. Polar modulation is covered, as well as quadrature modulation both with clock duty cycles of 50% (Q50) and 25% (Q25). Closed form expressions are derived for both the maximum output power and SC power loss for signals with arbitrary phase and amplitude. These expressions are verified by simulations using ideal switches and capacitors, and 22 nm CMOS transistor models. These results are used to analyze the SCPA efficiency for 64QAM signals using a statistical model. It is shown that for a given array capacitance and supply voltage, the polar architecture is the most power efficient. Compared to polar modulation, the SC loss for 64QAM is fundamentally 18% higher for Q50 and 46% higher for Q25 SCPAs, whereas the generated output powers are fundamentally 6 and 3dB lower, respectively.
Evaluation of the Inhibitory Effect of Sidr Honey from Different Sources Against Methicillin Resistant S. aureus

In order to determine the antibacterial effect of 5 different sidr honey samples { from Egypt ( E), Libya ( L) ,Yemen (Y), Pakistan (P) and Saudi Arabia (S) }against MRSA strains, atotal of 200 quarter milk samples were collected from local breed cows suffering from clinical mastitis and 170 samples were collected from human patients from hospitals in Sharkia Governorate.The collected samples were subjected to bacteriological examination where the percentage of S.aureus was 40.86% (n = 152). Out of 152 S. aureus strains, 35% were found to be methicillin resistant.The MIC and MBC of the tested strains ranged from 20-60% (w/v). After exposure to sidr honey,about 42% of MRSA strains changed from coagulase positive to coagulase negative, latex agglutination test showed that 3% of MRSA strains changed from positive to negativeand all intermediate methicillin resistant S.aureusstrainschanged to sensitive with all sidr honey.The results suggestthe possible use of sidr honey as antibacterial agent against MRSA strains.
Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017

Abstract. The characteristics of ozone variations and the impacts of synoptic and local meteorological factors in northern China were quantitatively analyzed during the warm season from 2013 to 2017 based on multi-city in situ ozone and meteorological data as well as meteorological reanalysis. The domain-averaged maximum daily 8 h running average O3 (MDA8 O3 ) concentration was 122±11 µ g m −3 , with an increase rate of 7.88 µ g m −3 yr −1 , and the three most polluted months were closely related to the variations in the synoptic circulation patterns, which occurred in June (149 µ g m −3 ), May (138 µ g m −3 ) and July (132 µ g m −3 ). A total of 26 weather types (merged into five weather categories) were objectively identified using the Lamb–Jenkinson method. The highly polluted weather categories included the S–W–N directions (geostrophic wind direction diverts from south to north), low-pressure-related weather types (LP) and cyclone type, which the study area controlled by a low-pressure center (C), and the corresponding domain-averaged MDA8 O3 concentrations were 122, 126 and 128 µ g m −3 , respectively. Based on the frequency and intensity changes of the synoptic circulation patterns, 39.2 % of the interannual increase in the domain-averaged O3 from 2013 to 2017 was attributed to synoptic changes, and the intensity of the synoptic circulation patterns was the dominant factor. Using synoptic classification and local meteorological factors, the segmented synoptic-regression approach was established to evaluate and forecast daily ozone variability on an urban scale. The results showed that this method is practical in most cities, and the dominant factors are the maximum temperature, southerly winds, relative humidity on the previous day and on the same day, and total cloud cover. Overall, 41 %–63 % of the day-to-day variability in the MDA8 O3 concentrations was due to local meteorological variations in most cities over northern China, except for two cities: QHD (Qinhuangdao) at 34 % and ZZ (Zhengzhou) at 20 %. Our quantitative exploration of the influence of both synoptic and local meteorological factors on interannual and day-to-day ozone variability will provide a scientific basis for evaluating emission reduction measures that have been implemented by the national and local governments to mitigate air pollution in northern China.
Validation method for determining sodium benzoate in fruit juice drinks in Malang

Sodium benzoate is a preservative that is permitted to be used in food and beverages. The maximum limit for using sodium benzoate in food is 600 mg/L of ingredients calculated as benzoic acid. In this study, High-Performance Liquid Chromatography (HPLC) method using a PDA detector was used for sodium benzoate levels analysis in fruit juice drink circulating in Malang. The mobile phase composition used in this study was methanol pro-HPLC:aqua pro injection (70:30) and added glacial acetic acid to reach pH 3. The analysis was conducted at a wavelength of 245 nm, and the flow rate was set at 1.00 mL/minute. This method was validated against the parameters of selectivity, linearity, accuracy, and precision, and the results obtained to meet the validation requirements. The application of the HPLC method after being validated in the determination of sodium benzoate levels in fruit juice drink circulating in Malang resulted in selectivity Rs ≥ 1.5, linearity obtained in the range 0.1-5 μg/mL with a correlation coefficient (r) = 0,9999, recovery at a concentration of 80%, 100%, and 120% was 105.31%, and precision with an RSD value of 1.40%. Based on the results, it can be concluded that the validation method of analysis shows that the method can be used to determine sodium benzoate level using HPLC with PDA detectors for routine use in fruit juice drink samples.