Miracle-dz/UniFAR-FTUs huggingface dataset:
IRP2API: Automated Mapping of Cyber Security Incident Response Plan to Security Tools’ APIs

Security Operation Center (SOC) uses Incident Response Plan (IRP) to respond to security incidents by orchestrating diverse security tools’ activities in a Security Orchestration, Automation and Response (SOAR) platform. SOC teams manually dig through API documentation of security tools to find the appropriate APIs to define, update and execute an IRP, which hampers effective and efficient incident response. We propose a novel framework, namely IRP2API, for automated mapping of IRP to diverse security tools’ APIs. IRP2API enables SOC teams to effectively and efficiently execute IRP tasks, whilst significantly reducing the required human effort. IRP2API is a unified framework for diverse security tools using an unsupervised transfer learning approach based on API documentation. IRP2API alleviates the requirement of expert knowledge, expensive manually labeled data and access to the code repository. IRP2API achieves suitable semantic coverage by leveraging different semantic variation enrichment methods to deal with the semantic variation of IRP and API data. To demonstrate the real world viability of IRP2API, we experimentally evaluate its effectiveness and efficiency using IRPs of a real world SOAR platform, 6 security tools and 4 transfer learning-based pre-trained embedding approaches. IRP2API achieves 91.1% Top-15 Accuracy and mean reciprocal rank@15 of 57.4 for automated IRP to API mapping, which is 41.6% and 81.6% improved compared to the best results across all non-transfer learning-based baselines. It indicates its effectiveness to support a SOC team. IRP2API requires only 0.8 sec per IRP task to map suitable API that reflects its real world applicability in time-critical SOC.
An efficient shock capturing scheme for multicomponent multiphase thermal flow in porous media

This paper is concerned with multicomponent, two-phase, thermal fluid flow in porous media. The fluid model consists of component conservation equations, Darcy's law for volumetric flow rates and an enthalpy conservation equation. The model is closed with an equation of state and phase equilibrium conditions that determine the distribution of the chemical components into phases. The sequential formulation described in a previous article is used to build a second-order shock capturing scheme for the conservation equations using a primitive-variable-based linear reconstruction. The fluxes at the cell faces are calculated using an approximate Riemann solver. The method is validated and evaluated by means of one- and two-dimensional problems, including a gravity inversion test.
The National Meteorological Center's spectral-statistical interpolation analysis system

Abstract At the National Meteorological Center (NMC), a new analysis system is being extensively tested for possible use in the operational global data assimilation system. This analysis system is called the spectral statistical- interpolation (SSI) analysis system because the spectral coefficients used in the NMC spectral model are analyzed directly using the same basic equations as statistical (optimal) interpolation. Results from several months of parallel testing with the NMC spectral model have been very encouraging. Favorable features include smoother analysis increments, greatly reduced changes from initialization, and significant improvement of 1-5-day forecasts. Although the analysis is formulated as a variational problem, the objective function being minimized is formally the same one that forms the basis of all existing optimal interpolation schemes. This objective function is a combination of forecast and observation deviations from the desired analysis, weighted by the invent of the correspon.
Back lobe Suppression of Microstrip Patch Antennas Miniaturized using Complementary Split Ring Resonator Loaded Ground Plane

This paper presents a simple, effective and novel technique for suppression of the back lobe generated in microstrip patch antennas miniaturized using Complimentary Split Ring Resonator (CSRR) loaded ground planes. Addition of the extra substrate with ground plane creates an improvement of the front-to-back ratio of the radiation pattern resulting in increase of the gain achieved. Overall radiating surface area is reduced up to 52.29% using this technique while maintaining gain and other essential parameters. A detailed comparative analysis is then carried out between this novel technique and with normal CSRR loaded patch and also partially shorted patch antennas. All designs are created to resonate at the center frequency of 2.6GHz in the S-Band. All the proposed antennas have been simulated and fabricated.
A 2.41-μW/MHz, 437-PE/mm2 CGRA in 22 nm FD-SOI With RISC-Like Code Generation

While coarse-grained reconfigurable arrays (CGRAs) have the potential to improve energy efficiency in general-purpose computing beyond the limitations of von Neumann architectures, they suffer from challenges in code generation. Pasithea-l is a CGRA architecture that aims to combine high energy efficiency with RISC-like programmability. This paper presents its first silicon prototype and a C compiler that uses conventional CPU compiler techniques. Compared to code generation for traditional CGRAs, which require expensive place and route steps, this method of code generation reduces compile times and compiler complexity significantly. Performance and power were measured for a set of benchmark programs written in C. On average, energy efficiency of 195.1 int32 MIPS/mW and active power of 2. 41μW/MHz were achieved. Peak energy efficiency of 558.2 MIPS/mW and peak performance of 97.5 MIPS were measured. Load/store instructions and instruction transfers are identified as critical factors for energy efficiency in Pasithea. In comparison to an MCU with state-of-the-art energy efficiency, Pasithea achieves higher energy efficiency in four of the benchmarked programs. Switched capacitance per benchmark run was reduced by a factor of approximately 1.4, on average. Its 0.75 mm2 core area and fabric density of 437 Plis/mm2 enable use in cost-sensitive applications and permit further upscaling.
Convective interaction with boundary-layer dynamics in the development of a tropical intraseasonal system

Abstract Tropical boundary-layer flows interact with the free tropospheric circulation and underlying sea surface temperature, playing a critical role in coupling collective effects of cumulus heating with equatorial dynamics. In this paper a unified theoretical framework is developed in which convective interaction with large-scale circulation includes three mechanisms: convection–wave convergence (CWC) feedback, evaporation–wind (EW) feedback, and convection–frictional convergence (CFC) feedback. We examine the dynamic instability resulting from the convective interaction with circulation, in particular the role of CFC feedback mechanism. CFC feedback results in an unstable mode that has distinctive characteristics from those occurring from CWC feedback or EW feedback in the absence of mean flow. The instability generated by CFC feedback is of low frequency with a typical growth rate on an order of 10−6 s−1. The unstable mode is a multiscale wave packet; a global-scale circulation couples with a large-s.
Novel Coordinated Control Strategy for Step-Up/Down Current-Source Converter

Current-source converter (CSC) is more attractive and increasingly used to occasions with higher requirements for reliability due to inherent antishort-circuit ability. In this article, we combine the CSC with dc/dc converter to adapt to lower input voltage applications. However, rational allocation of the duty cycle for each switch to achieve the target voltage output and the increase of the overall switching times brought by dc/dc converter are the major problems. The proposed coordinated control strategy can reasonably take full advantage of degrees of freedom based on the adjustment variable to achieve accurately control of grid-side current and load voltage. In addition, the dc-link current pulses according to six times grid angular frequency, which avoids using the zero vector to reduce the switching times. The experimental results show the proposed scheme can not only guarantee the power quality at grid side and precise voltage output but also avoid using zero vector.
A simulation study of stand-by and active write mode magnetic immunity of perpendicular spin-transfer-torque random-access memory

Magnetic immunity is an important reliability metric for spin-transfer-torque random-access memory (STT-RAM). The presence of an external magnetic field may cause retention fails in stand-by mode or switching fails during the write operation. Specifically, active write mode magnetic immunity has not been well explored although it was reported to be the limiter in deciding the magnetic immunity metrics. Here, we present a simulation study of stand-by bit error rates (BER) and write error rates (WER) under the influence of external magnetic field perturbation. Results show that the effect of the external magnetic field is more pronounced when it is applied along a direction non-collinear to the easy axis of the magnet. Variation in the stand-by BER is found to follow the Stoner-Wohlfarth model. It is also observed that the active write mode BER may increase by orders of magnitude for specific directions of applied fields depending on the applied write current and magnetic field strength. The variation in WER is explained by the formation of additional zero-torque “stagnation points” on the magnetization unit sphere. The results show the need for careful characterization of both the stand-by mode and the active write mode while measuring the magnetic immunity of the STT-RAM cell.
Saliency-Based Sensorless Control Using Current Derivative in IPMSM Drives With Single DC-Link Current Sensor

In vector-controlled drive systems, a position sensorless drive with a single current sensor (SD-SCS) is an attractive system due to the minimum number of sensors. However, when the saliency-based SD-SCS is applied, the position estimation accuracy is deteriorated due to the errors in the injected pulsewidth-modulated voltage and the reconstructed current. This article proposes a current-derivative-based sensorless control using a three active vector pulsewidth modulation (TAVPWM) to enhance the saliency-based SD-SCS. First, the TAVPWM scheme, which eliminates the current reconstruction dead zone in the low-modulation region, is adopted to improve the low-speed drive. Next, the derivatives of the phase currents are utilized and analyzed to minimize the position estimation error in the overall operating regions. Finally, the transition strategy with respect to the speed is proposed for the full-speed sensorless drive. Owing to the proposed method, the switching frequency increases up to 16 kHz and the audible noise is virtually eliminated in the saliency-based SD-SCS. Furthermore, the enhanced dynamic performance is verified by various experimental results.
Commenter and News Source Credibility: Roles of News Media Literacy, Comment Argument Strength and Civility

Many news websites allow for audience comments, but there is concern, especially when these comments are negative or low-quality, that the comments could negatively influence how readers perceive the corresponding news story. This experiment explores whether quality characteristics of comments – argument strength and civility – could help improve the perceived credibility of news content. Further, the study looks at whether quality characteristics of audience members, like their level of news media literacy, might reduce the negative influence of low-quality comments on someone’s perception of the credibility of the story. The findings reveal that higher quality comments lead to improved perceptions of the credibility of the news source, even when the comments criticize the journalist. Additionally, the study finds that individuals with higher levels of news media literacy are more capable of distinguishing the quality of journalist content from user-generated content.
Neural Network and IoT-based Test Maneuver Deployment for 2 DoF Vehicle Simulator

This paper presents the driving scenarios deployment for 2 DoF (Degree of Freedom) vehicle simulator based on IoT (Internet of Things) and Neural Network. The controller structure is chosen as Neural Network-based controller is preferred as the transferring appropriate accelerations in 3 axes in the 2 DoF manipulator evokes a nonlinear problem. Due to the microcontroller used in the vehicle simulator to perform Neural Network calculations has limited processing capacity and speed, IoT-based computing and data transferring are chosen. Firstly, an open-loop measurement is performed to identify the vehicle simulator and to generate the training data for the neural network. Thereafter the acceleration data on the axes and the control signals are logged. Secondly, the neural network training is carried out with the logged data. Finally, the trained neural network was tested with various driving maneuvers. And the measurements are evaluated.
Vision-Based Unattended Terrace Children Safety Alert System

An unattended child can be subjected to a sudden fall from a terrace. The paper proposes a computer vision-based approach for detecting kids playing on the terrace. This system is implemented using a fusion of features extracted from HOG and SIFT (feature detectors). The extracted features were reduced using the k-means clustering technique. The Optimum number of clusters for the extracted features was calculated using the elbow method. The feature vector was further optimized using principal component analysis. Decision tree, KNN, Random Forest, and SVM were the algorithms used to determine the accuracy of the technique. The SVM-RBF gave a maximum accuracy of 85%.
Viscous fingering and deformation of a miscible circular blob in a rectilinear displacement in porous media

The deformation of an initially circular miscible blob in a rectilinear displacement is investigated numerically for porous media when the blob is more viscous than the displacing fluid. We find in the parameter space spanned by the Péclet number and log-mobility ratio the existence of a new lump-shaped instability zone between two distinct regimes of comet and viscous fingering (VF) deformations. The more viscous circular blob is destabilized by VF only over a finite window of log-mobility ratio, contrary to the displacement of a more viscous finite slice with planar interfaces. This difference is attributed to the initial curvature of the miscible blob.
Optimization of rapid-repair material ratio and performance analysis based on orthogonal test

Through orthogonal experimental design, the influence of the water-binder ratio, binder-sand ratio, ultrafine mineral admixture content, and steel fiber content on the fluidity and basic mechanical properties of rapid-repair materials was studied. The optimal mixing ratio parameters were determined, and its swelling and shrinkage performance and microstructure were analyzed. The results showed that the water-binder ratio and steel fiber content were the most significant factors affecting the properties of rapid-repair materials. The steel fiber content in the rapid-repair material led to pull-out failure and significantly affected flexural strength but had a relatively small effect on compressive strength. With the determined optimal mix proportion, the rapid-repair material had good fluidity and high early strength, bonding strength, and volume stability. At age 3 h, the material’s flexural strength and compressive strength were 13.7 MPa and 27.8 MPa, respectively, and the adhesive strength was 3.65 MPa. The limited expansion rate of 56 d-age repair material was 326.5 × 10 −6 , which can better meet the requirements of repairing highway pavement and bridge expansion joints to reopen to traffic within 3 h of repair.
Two Stage Chebyshev Semi-Iterative Method for PageRank Problem

In this article, we have experimented with the Chebyshev semi-iterative (CSI) method for PageRank computation. The CSI method is slow, and for a few PageRank matrices, the method diverges. To overcome such difficulties, we have introduced a two stage Chebyshev semi-iterative (TSCI) method. TSCI method is convergent for all PageRank matrices and comparatively faster than some of the recently developed iterative methods. The numerical experiment has been performed for Multiple PageRank matrices. The computational results show how the TSCI algorithm is efficient.
EOF Calculations and Data Filling from Incomplete Oceanographic Datasets

The paper presents a new self-consistent method to infer missing data from oceanographic data series and to extract the relevant empirical orthogonal functions. As a by-product, the new method allows for the detection of the number of statistically significant EOFs by a cross-validation procedure for a complete or incomplete dataset, as well as the noise level and interpolation error. Since the proposed filling and analysis method does not need a priori information about the error covariance structure, the method is self-consistent and parameter free
State-Dependent Stochastic Stability and the Non-Existence of Conventions

Arising from criticism in the literature and focusing on 2x2 coordination games, the concept of stochastic stability is extended to take account of state dependent error and sample sizes. Both, error and sample size are expected to be correlated with the loss that occurred, if a player chooses a non-best response strategy. The state independent and state dependent predictions determine the same Stochastically Stable State (SSS) if the game’s pay-oﬀ matrix exhibits a form of symmetry, or if only the relative potential loss from idiosyncratic play defines the state dependent variable. Predictions may differ if neither of these conditions is met. In addition, the paper raises a second crucial point. Even if these conditions are met, the minimum stochastic potential is only a necessary but not a sufficient condition for the evolution of an SSS. The SSS must further be sufficiently risk dominant, otherwise no convention will evolve.
Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound

Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer. PTC patients with extrathyroidal extension (ETE) are associated with poor prognoses. The preoperative accurate prediction of ETE is crucial for helping the surgeon decide on the surgical plan. This study aimed to establish a novel clinical-radiomics nomogram based on B-mode ultrasound (BMUS) and contrast-enhanced ultrasound (CEUS) for the prediction of ETE in PTC. A total of 216 patients with PTC between January 2018 and June 2020 were collected and divided into the training set (n = 152) and the validation set (n = 64). The least absolute shrinkage and selection operator (LASSO) algorithm was applied for radiomics feature selection. Univariate analysis was performed to find clinical risk factors for predicting ETE. The BMUS Radscore, CEUS Radscore, clinical model, and clinical-radiomics model were established using multivariate backward stepwise logistic regression (LR) based on BMUS radiomics features, CEUS radiomics features, clinical risk factors, and the combination of those features, respectively. The diagnostic efficacy of the models was assessed using receiver operating characteristic (ROC) curves and the DeLong test. The model with the best performance was then selected to develop a nomogram. The results show that the clinical-radiomics model, which is constructed by age, CEUS-reported ETE, BMUS Radscore, and CEUS Radscore, showed the best diagnostic efficiency in both the training set (AUC = 0.843) and validation set (AUC = 0.792). Moreover, a clinical-radiomics nomogram was established for easier clinical practices. The Hosmer–Lemeshow test and the calibration curves demonstrated satisfactory calibration. The decision curve analysis (DCA) showed that the clinical-radiomics nomogram had substantial clinical benefits. The clinical-radiomics nomogram constructed from the dual-modal ultrasound can be exploited as a promising tool for the pre-operative prediction of ETE in PTC.
Pharmacological Significance of Heme Oxygenase 1 in Prostate Cancer

Heme oxygenase 1 (HO-1) is a detoxifying antioxidant microsomal enzyme that regulates inflammation, apoptosis, cell proliferation, and angiogenesis in prostate cancer (PCa). This makes HO-1 a promising target for therapeutic prevention and treatment due to its anti-inflammatory properties and ability to control redox homeostasis. Clinical evidence highlights the possible correlation between HO-1 expression and PCa growth, aggressiveness, metastasized tumors, resistance to therapy, and poor clinical outcomes. Interestingly, studies have reported anticancer benefits mediated by both HO-1 induction and inhibition in PCa models. Contrasting evidence exists on the role of HO-1 in PCa progression and possible treatment targets. Herein, we provide an overview of available evidence on the clinical significance of HO-1 signaling in PCa. It appears that the beneficial effects of HO-1 induction or inhibition are dependent on whether it is a normal versus malignant cell as well as the intensity (major vs. minor) of the increase in HO-1 enzymatic activity. The current literature evidence indicates that HO-1 has dual effects in PCa. The amount of cellular iron and reactive oxygen species (ROS) can determine the role of HO-1 in PCa. A major increase in ROS enforces HO-1 to a protective role. HO-1 overexpression may provide cryoprotection to normal cells against oxidative stress via suppressing the expression of proinflammatory genes, and thus offer therapeutic prevention. In contrast, a moderate increase in ROS can lead to the perpetrator role of HO-1, which is associated with PCa progression and metastasis. HO-1 inhibition by xenobiotics in DNA-damaged cells tilts the balance to promote apoptosis and inhibit PCa proliferation and metastasis. Overall, the totality of the evidence revealed that HO-1 may play a dual role in the therapeutic prevention and treatment of PCa.
Numerical computation of normal form coefficients of bifurcations of odes in MATLAB

Normal form coefficients of codim-1 and codim-2 bifurcations of equilibria of ODEs are important since their sign and size determine the bifurcation scenario near the bifurcation points. Multilinear forms with derivatives up to the fifth order are needed in these coefficients. So far, in the Matlab bifurcation software MatCont for ODEs, these derivatives are computed either by finite differences or by symbolic differentiation. However, both approaches have disadvantages. Finite differences do not usually have the required accuracy and for symbolic differentiation the Matlab Symbolic Toolbox is needed. Automatic differentiation is an alternative since this technique is as accurate as symbolic derivatives and no extra software is needed. In this paper, we discuss the pros and cons of these three kinds of differentiation in a specific context by the use of several examples.
In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation

New Century Maths raises the benchmark for mathematics in New South Wales. Each text contains work from a number of stages to accommodate the mixed-ability classroom and to cater for studentsa individual differences. Texts structured in this way encourage flexible teaching and learning plans and truly reflect the intention of an outcomes-based syllabus. To fully cater for a wide range of abilities and needs, each text at years 9 and 10 is published in two versions, stages 5.1/5.2 and stages 5.2/5.3, both providing different pathways of learning. This structure enables students to follow the pathway into the stage 6 mathematics course that best suits their abilities and needs.