Miracle-dz/UniFAR-FTUs huggingface dataset:
A Meta‐Analysis of Studies Attributing Significance to Solar Irradiance

The relationship between solar irradiance and climate is greatly debated. This inferred relationship is often characterized via the statistical analysis of paleoclimate data. REDFIT is a commonly used statistical tool that overcomes uneven sampling to identify significant periodicities of variability in proxy data. We critically examine the use of REDFIT to identify solar signals in these data. By conducting a literature review, we show the REDFIT significance thresholds used by researchers to analyze paleoclimate data vary considerably. As there is some subjectivity and practicality involved in any statistical analysis, some variability is to be expected. However, we observe that the bulk of the significance thresholds used in the literature are less stringent than the critical false‐alarm level outlined by REDFIT's creators. We reexamine periodicities deemed “significant” in a published data set to show that using this more stringent, more objective critical false‐alarm threshold likely eliminates the previously inferred significance of solar signals in proxy data. Likewise, we address a lack of consideration of age model uncertainty on REDFIT's reliability in identifying solar periodicities. Overall, we show that the relationship between solar irradiance and climate, as identified by REDFIT analyses, may not be as robust as previous work might suggest.
Quinazolinones, the Winning Horse in Drug Discovery

Quinazolines are nitrogen-containing heterocycles that consist of a benzene ring fused with a pyrimidine ring. Quinazolinones, oxidized quinazolines, are promising compounds with a wide range of biological activities. In the pharmaceutical field, quinazolinones are the building blocks of more than 150 naturally occurring alkaloids isolated from different plants, microorganisms, and animals. Scientists give a continuous interest in this moiety due to their stability and relatively easy methods for preparation. Their lipophilicity is another reason for this interest as it helps quinazolinones in penetration through the blood–brain barrier which makes them suitable for targeting different central nervous system diseases. Various modifications to the substitutions around the quinazolinone system changed their biological activity significantly due to changes in their physicochemical properties. Structure–activity relationship (SAR) studies of quinazolinone revealed that positions 2, 6, and 8 of the ring systems are significant for different pharmacological activities. In addition, it has been suggested that the addition of different heterocyclic moieties at position 3 could increase activity. In this review, we will highlight the chemical properties of quinazolinones, including their chemical reactions and different methods for their preparation. Moreover, we will try to modify some of the old SAR studies according to their updated biological activities in the last twelve years.
Flexible spacestructure control via moving-bank multiple model algorithms

The development and performance of moving-bank multiple model adaptive control (MMAC) algorithms for quelling vibrations induced in the SPICE 2 space structure are presented. The structure consists of a large platform and a smaller platform connected by three legs in a tripod fashion. Deviations of the line-of-sight (LOS) vector from the center of the large platform to the center of the smaller platform are used for LQG controller performance evaluation. The parameter estimator implements the maximum entropy with identity covariance (ME/I) algorithm; the moving-bank logic employs parameter position monitoring; the controller uses the modified MMAC method. Whereas parameter variations of two percent caused instabilities in the single filter/controller design, the MMAC algorithm provides an excellent method to estimate a wide range of parameter variations and to quell oscillations in the structure. >
A filter design for T-S fuzzy systems based on moving horizon estimator with measurement noise

In this article, a filter based on moving horizon estimator is proposed with Takagi-Sugeno (T-S) fuzzy controllers for a kind of unknown discrete-time system. The T-S fuzzy control algorithm is employed to handle the unknown system dynamics, thus ensuring the property of input-to-state stability (ISS) of the system, which guarantees the boundedness of all states. Besides, the proposed filter and controller can significantly improve the robustness of the system with external disturbance, even if the disturbance has non-Gaussian characteristics. Finally, the effectiveness of the presented algorithm is demonstrated by simulation examples under two kind of noise situations.
Resistive instability of periodic current sheets

The dispersion relation of the resistive tearing instability is derived and numerically solved for configurations characterized by periodic current sheets where a parameter‐dependent resistivity can be included. Two unstable modes of different symmetry properties and different growth rates are identified, where the growth rates depend on the distance between the current layers. The results are relevant to a number of space and laboratory plasmas and the corresponding numerical simulations.
OB associations and the nonuniversality of the cosmic abundances - Implications for cosmic rays and meteorites

The formation of the solar system inside an OB association is examined with particular attenuation to the elemental abundances which would have been ejected by the association's first few supernovae. It is found that the solar system material may have been significantly contaminated by these supernovae and thus the average interstellar composition may differ from the solar system composition. In particular, we find that many of the so-called isotopic and elemental abundance anomalies (e.g., Ne, C, O, s-process/r-process, etc.) found in meteoritic inclusions and in cosmic rays may be more representative of the average interstellar abundance. In other words, it may be that the average solar system abundances are what is ''anomalous. ''
A Suggestion of the Alternatives Evaluation Method through IFC-Based Building Energy Performance Analysis

In a rapidly changing modern society, the construction industry is facing various issues, including the Fourth Industrial Revolution and climate change. Research on convergence between technologies such as artificial intelligence, AR/VR, IoT, and metaverse, and sustainable technologies such as green buildings and eco-friendly energy is being attempted in each field. The most important thing in the development of these technologies will be the interoperability of data. BIM is a technology that can effectively store data regardless of the size of a building or the amount of information and can be shared and stored without loss of data through an open format called IFC (industry foundation classes). This study aims to present a plan to generate alternatives and evaluate energy performance by analyzing the shape of the envelope for amorphous buildings through IFC. Design elements were derived through analysis of previous studies, and alternatives were automated by developing interfaces that can generate shapes according to the derived design elements. The generated alternatives can be compared and analyzed through the analysis of building energy by developing an evaluation system based on IFC. Based on the quantitative results in the initial design stage, the reliability of the design proposal considering the performance of the building is improved, and the process and cost can be predicted in advance; thus, it is expected to be an efficient decision support tool.
Automatic generation of GRBF networks using the integral wavelet transform

Learning can often be viewed as the problem of mapping from an input space to an output space. Examples of these mappings are used to construct a continuous function that approximates given data and generalizes for intermediate instances. Generalized Radial Basis Function (GRBF) networks are used to formulate this approximating function. A novel method is introduced that uses the Integrated Wavelet Transform to construct an optimal GRBF network for a given mapping and error bound. Simple 1D examples are used to demonstrate how the optimal network is superior to one constructed using standard ad hoc optimization techniques. The paper concludes with an application of optimal GRBF networks to a multidimensional problem (15 - 20 dimensions), real-time object recognition and pose estimation. The results of this application are favorable and the optimal GRBF network outperforms a GRBF network constructed using a traditional method.
The ECMWF implementation of three-dimensional variational assimilation ( 3 D-Var ) . 111 : Experimental results

In this third and final paper of a series, we assess the performance of the three-dimensional variational data assimilation scheme, in the light of the results from the extensive pre-operational programme of numerical experimentation. Its performance is compared with that of the previous operational scheme at the European Centre for Medium-Range Weather Forecasts, which was based on Optimal Interpolation. The main features of the new scheme are illustrated, in particular the effects of non-separable structure functions and the improved data usage. TIROS-N Operational Vertical Sounder cloud-cleared radiances, for example, are used directly without a separate retrieval step. Scatterometer data are assimilated in the form of ambiguous winds with the ambiguity removal taking place within the analysis itself. Problems encountered during the tests are discussed and the solutions implemented are explained. The overall impact on forecast accuracy in the troposphere of the northern hemisphere extratropics is neutral for geopotential and positive for wind and temperature. The impact is neutral in the tropics, and significantly positive in the southern hemisphere. Analyses and forecasts for the stratosphere have improved in all regions. Other positive results include a clear improvement in analyses of near-surface winds over oceans, particularly in the vicinity of tropical storms. This is predominantly because of the assimilation of scatterometer wind-data.
An Accurate Model for InP HEMT Small-Signal Equivalent Circuit Based on EM Simulation

A high-reliability small-signal equivalent circuit model for indium-phosphide-based high-electron-mobility transistors (InP-based HEMTs) is proposed. A de-embedding scheme for the representative structure is utilized in this model with an electromagnetic simulation approach to consider the distributed extrinsic parasitic elements. The intrinsic part of the small-signal model is directly extracted with the Y-parameter of the intrinsic two-port network. The extraction of the parametric elements was performed under different biases and three different gate widths (<inline-formula> <tex-math notation="LaTeX">$2\times 20\,\,\mu \text{m}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$2\times 30\,\,\mu \text{m}$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$2\times 50\,\,\mu \text{m}$ </tex-math></inline-formula>), our S-parameter predictions showed good agreement with measurements in the 1–50-GHz frequency range. The proposed model performs an electromagnetic simulation of different gate-width devices, considers the devices’ distribution and radio-frequency behavior, and avoids errors caused by traditional tests’ extraction of parasitic parameters. The proposed model solves the problem that the conventional indium phosphide-based HEMT small-signal model is limited by the device topology, making the high-frequency modeling more accurate.
Theory and properties of solid argon

In the last few years measurements have been made of the thermodynamic properties of solid argon which provide ideal material for the verification of the theory of crystal lattices. Starting from the basic problem of the crystal lattice, a review is given here of the dynamics and thermodynamics of the inert gas crystals. Satisfactory agreement is obtained in many cases between theory and experiment when the calculations are based on an anharmonic Einstein theory with a (12,6) interatomic potential. It is shown that further progress requires, in particular, the extension of experiments to lower temperatures and of theoretical calculations of the repulsion of argon atoms to a higher approximation.
Implementation of DNN-Based Physical-Layer Network Coding

Physical-layer network coding (PNC) has been proposed to double the throughput of a wireless two-way relay network (TWRN) and has been adapted so that it can be applied in vehicular ad-hoc networks (VANETs). Deep neural network (DNN)-based physical-layer network coding (PNC) for the TWRN system has been studied in recent years, under the assumption that the channel state information (CSI) is available to the end nodes and the relay node. However, the state-of-the-art DNN-based PNC system was only feasible for theoretical simulations, and no practical system design has been studied. When moving from theory to practical wireless systems, there are two critical issues to tackle: 1) unlike conventional regularly shaped quadrature amplitude modulations (QAMs), the constellation points of a DNN-based PNC system's end nodes are irregular and unpredictable to the relay node; and 2) other than in high-precision simulations, the practical DNN-based PNC system's constellation points are not fixed, that is, there is usually a cluster of points that must be grouped together so that the transceiver's digital-to-analog converter (DAC) and analog-to-digital converter (ADC) can work properly. To solve the above issues, we proposed the DNN-PNC implementation that can be realized using the Universal Software Radio Peripheral (USRP) platform. The computational complexity of our simulated DNN-PNC is one order of magnitude smaller than that given in the literature, while maintaining a good bit error rate (BER). In the implementation phase, we find that the naturally-happened power imbalance between the two end nodes' signals in our implementation can significantly boost the PNC constellation recovery, and hence reduce the system BER. Our experimental results showed that the BER of DNN-PNC can be lower than $10^{-4}$ when the signal-to-noise ratio (SNR) is 16 dB for the 2-QAM case and 20 dB for the 4-QAM case, respectively. These results indicate that DNN-based PNC is feasible for VANET applications, where the CSI changes and is difficult to obtain.
Analysis of Köhler illumination for 193 nm scatterfield microscope

A scatterfield microscope using 193 nm laser light was developed that utilizes angle-resolved illumination for high resolution optical metrology. An angle scan module was implemented that scans the illumination beam in angle space at the sample by linearly scanning a fiber aperture at a conjugate back focal plane. The illumination light is delivered directly from a source laser via an optical fiber in order to achieve homogeneous angular illumination. A unique design element is that the conjugate back focal plane (CBFP) is telecentric allowing the optical axis of the fiber to be scanned linearly. Initial results from full field and angle-resolved illumination are presented and potential applications in semiconductor metrology are described.
A Decomposition-Based Approach for Multitask Scheduling With Execution Uncertainty in Industrial Internet of Things

Industrial Internet of Things (IIoT) is changing the way in which factories operate with the help of various industrial applications. However, the execution uncertainty of computing tasks has always been ignored in IIoT applications. In this article, we define a novel conditional task graph to describe the execution uncertainty and present a generation algorithm to obtain all task scenario graphs and corresponding occurrence probabilities. Then, a new IIoT-oriented multitask scheduling model under execution uncertainty is built. This model is simplified by reformulating the nonlinear constraints and subsequently decomposed into several small-scale models using the Lagrange multipliers, from which a decomposition-based algorithm is derived to solve the decomposed small-scale models and progressively acquire a well-optimized solution of the initial model. Furthermore, a patching algorithm is constructed to improve the obtained solution. Finally, many test cases are generated, and four selected algorithms are taken for comparison to evaluate the performance of our algorithms. The results demonstrate that our algorithms remarkably outperform the others. Besides, the solutions of the proposed algorithms can completely satisfy the execution deadline constraints of different task scenarios.
Crossing new uncharted territory: shifts in academic identity as a result of modifying teaching practice in undergraduate mathematics

The changes in academic identity a teacher may undergo, as they modify their teaching practice, will vary depending on their experiences and the support they receive. In this paper, we describe the shifts in academic identity of two lecturers, a mathematician and a mathematics educator, as they both made changes to their teaching practice by implementing new questioning techniques in a large undergraduate mathematics course. Both the lecturers were members of the research group, which became their community of practice. Our findings recommend that lecturers endeavouring to step out and try changes to their teaching practice, particularly with large groups of students, belong to a community of practice. The community of practice provides a place for shared reflection, new learning, and opportunities to negotiate new identities.
Finite Difference Solution of Elastic-Plastic Thin Rotating Annular Disk with Exponentially Variable Thickness and Exponentially Variable Density

Elastic-plastic stresses, strains, and displacements have been obtained for a thin rotating annular disk with exponentially variable thickness and exponentially variable density with nonlinear strain hardening material by finite difference method using Von-Mises' yield criterion. Results have been computed numerically and depicted graphically. From the numerical results, it can be concluded that disk whose thickness decreases radially and density increases radially is on the safer side of design as compared to the disk with exponentially varying thickness and exponentially varying density as well as to flat disk.
Epidemics in heterogeneous communities: estimation of R0 and secure vaccination coverage

A stochastic multitype model for the spread of an infectious disease in a community of heterogeneous individuals is analysed. In particular, estimates of R0 (the basic reproduction number) and the critical vaccination coverage are derived, where estimation is based on final size data of an outbreak in the community. It is shown that these key parameters cannot be estimated consistently from data; only upper and lower bounds can be estimated. Confidence regions for the upper bounds are derived, thus giving conservative estimates of R0 and the fractions necessary to vaccinate.
Improving depth maps with limited user input

A vastly growing number of productions from the entertainment industry are aiming at 3D movie theaters. These productions use a two-view format, primarily intended for eye-wear assisted viewing in a well defined environment. To get this 3D content into the home environment, where a large variety of 3D viewing conditions exists (e.g. different display sizes, display types, viewing distances), we need a flexible 3D format that can adjust the depth effect. This can be provided by the image plus depth format, in which a video frame is enriched with depth information for all pixels in the video frame. This format can be extended with additional layers, such as an occlusion layer or a transparency layer. The occlusion layer contains information on the data that is behind objects, and is also referred to as occluded video. The transparency layer, on the other hand, contains information on the opacity of the foreground layer. This allows rendering of semi-transparencies such as haze, smoke, windows, etc., as well as transitions from foreground to background. These additional layers are only beneficial if the quality of the depth information is high. High quality depth information can currently only be achieved with user assistance. In this paper, we discuss an interactive method for depth map enhancement that allows adjustments during the propagation over time. Furthermore, we will elaborate on the automatic generation of the transparency layer, using the depth maps generated with an interactive depth map generation tool.
High in-hospital mortality and prevalence of cardiogenic shock in patients with ST-segment elevation myocardial infarction and concomitant COVID-19

Introduction Published data suggest worse outcomes in acute coronary syndrome (ACS) patients with concomitant coronavirus disease (COVID-19) due to delays in standard management caused by burdened healthcare. Aim To report the demographics, angiographic findings, and in-hospital outcomes of COVID-19 ST-elevation myocardial infarction (STEMI) patients and to compare these with the non-COVID-19 cohort hospitalized during the same period with the same access to medical care. Material and methods From October 23rd, 2020 to April 23rd, 2021 (exactly 6 months) data were collected into a prospective ACS Registry. STEMI patients underwent invasive coronary angiography and were tested for COVID-19. Outcomes were in-hospital mortality and prevalence of cardiogenic shock. Results 125 patients, of whom 25 were COVID-19 positive, were admitted to the cardiology ward, and completed their hospital stay (i.e. discharge or death). There were no differences with regard to the time from symptom onset to reperfusion (median (Q1–Q3); 165 (130–202) vs. 170 (123–210), p = 0.86) and door-to-balloon time between the compared groups (25 (21–35) vs. 29 (21–59), p = 0.26). There was a higher GRACE risk score and mortality in the COVID-19 positive patients (180 (154–226) vs. 155 (132–181) and 48% vs. 10%, respectively, both p < 0.0001). Cardiogenic shock occurred more often in this group (32% vs. 13%; p = 0.035). COVID-19 positive patients had elevated high-sensitivity C-reactive protein (hsCRP) (p < 0.0001) and D-dimer (p = 0.003) and reduced left ventricular ejection fraction (p = 0.037). Postprocedural TIMI 3 flow grade was observed less frequently in this group (p = 0.044). Conclusions High in-hospital mortality in patients with STEMI and COVID-19 did not result from delays in standard management, and could be related to increased thrombogenicity.
A parameter optimization method for electronic circuit design using stochastic model function

This paper presents an optimization procedure using the stochastic model function, aiming at the application to the optimization of the circuit constant in the integrated circuit. The optimization of the circuit constant is formulated as a minimization problem for the objective function derived from the circuit response under the specified condition. In the method presented in this paper, the model function is constructed which approximates well the objective function, and the objective function is minimized by minimizing the model function. The features of the method are that the algorithm is simple, the number of evaluations of the objective function is small, the result depends less on the initial value, and the minimum of the objective function can be determined with a high accuracy. The method is evaluated using the standard test function, and it is verified that all minimum values of the objective function can be determined with a high accuracy with fewer number of calculations of the objective function. The optimization procedure is applied to two circuit examples: the analog control circuit and the inverter chain. The result is satisfactory and the usefulness of the presented optimization procedure in the circuit design is demonstrated.