Miracle-dz/UniFAR-FTUs huggingface dataset:
Snapshot for Power Grids IoT: Adaptive Measurement for Resilience Intelligent Internet of Things

With the wide application of Internet of Things (IoT) devices in the power grids, the sophisticated feedback on their operating status is of great significance for improving efficiency and reducing accidents. For exquisite management of the resilient intelligent IoT with flexible increase and decrease of devices and heterogeneous operating systems, this article proposes an adaptive measurement method “MRAM,” which can snapshot the multidimensional resource view (MRV) of all devices in the jurisdiction. Extensible gateway platform based on CPU, field-programmable gate array, and cloud computing is applied in MRAM, which liberates the local resources of monitored IoT devices. MRAM improves the long short-term memory algorithm called ELSTM. ELSTM can accommodate the current IoT devices’ state for detecting the mutation of MRV. The newly collected resources determined by ELSTM whether MRAM enters an abnormal state to drive the adaptive measurement state machine. According to the state machine which endeavors that the MRV is updated timely, MRAM adjusts the measurement granularity in real time. Simulations and experiments have tested the convergence time and occupied bandwidth of MRAM deployed in power grids. These evaluations confirmed MRAM’s practicality and robustness, as well as the MRV is genuine management data for the upper layer power grids applications. A real environment is built to test the performance of this method as well. MRAM has high measurement accuracy and the precision of mutation detection is 98.41%. It converges the update MRV of second level under the condition of IoT devices and the cloud’s low consumption of memory and CPU utilization.
Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures

This paper presents a Bayesian analysis of partially linear additive models for quantile regression. We develop a semiparametric Bayesian approach to quantile regression models using a spectral representation of the nonparametric regression functions and the Dirichlet process (DP) mixture for error distribution. We also consider Bayesian variable selection procedures for both parametric and nonparametric components in a partially linear additive model structure based on the Bayesian shrinkage priors via a stochastic search algorithm. Based on the proposed Bayesian semiparametric additive quantile regression model referred to as BSAQ, the Bayesian inference is considered for estimation and model selection. For the posterior computation, we design a simple and efficient Gibbs sampler based on a location-scale mixture of exponential and normal distributions for an asymmetric Laplace distribution, which facilitates the commonly used collapsed Gibbs sampling algorithms for the DP mixture models. Additionally, we discuss the asymptotic property of the sempiparametric quantile regression model in terms of consistency of posterior distribution. Simulation studies and real data application examples illustrate the proposed method and compare it with Bayesian quantile regression methods in the literature.
Quantifying shape of lactation curves, and benchmark curves for common dairy breeds and parities

The MilkBot®(DairySight LLC,Argyle, NY; http://milkbot.com) lactation model provides a means of quantifying both shape and magnitude oflactation curves as a set of parameter values, each of which is associated with a single aspect of lactation curve shape. Lactation data may be fitted to the model to summarize a lactation as a set of parameter values which summarize the lactation as a whole. The scale parameter controls magnitude without changing the shape of the curve, the ramp parameter controls steepness of the post-parturient rise in milk production, the decay parameter controls the rate of late lactation decline, and the offset parameter defines a theoretical offset between the start of milk production and calving. The decay parameter is easily re-expressed mathematically as persistence to quantify the rate of decline in production after peak milk. Time and quantity of peak milk, or production for any day or period in the lactation may be calculated directly from parameter values. Aggregate normal lactation curves for mean and median milk production of Holstein, Jersey, Crossbred, Guernsey, Ayrshire, and Brown Swiss dairy cattle, stratified by parity, are calculated from a DHIA data set collected from 2005 through mid-2008 and covering over six million lactations and 51 million milk weights, mainly from farms in the eastern United States. These constitute benchmark curves that may be used as standards for normal milk production, or to quantify changes in normal productivity over time or with respect to other variables, or in econometric studies.
Predicted bismuth–tellurium under high pressures

ABSTRACT The high-pressure structures of the Bi–Te system were theoretically predicted by this work, which also clarified some ambiguous structures. Using variable-composition evolutionary algorithms, the crystal structures of the Bi–Te system at high pressures were searched, and one new stable structure BiTe-P-1 was proposed. BiTe-P-1 was discovered to be the experiment's undetected structure by comparing with the experimental XRD. Thereafter, the pressure-composition diagram of the Bi–Te system was calculated using the first-principles method. In contrast to previous reports, Bi2Te3 only had two high-pressure structures, R-3m and C2/m, and it would decompose into BiTe and Te at 13.4 GPa. The calculation of quasi-harmonic approximation shown that the BCC alloy phase of Bi2Te3 only could exist stably under high temperature and high pressure. For BiTe, The phase transition route was P-3m1 → P-1 → Pm-3m, and the transition pressure was 7.5 and 11.2 GPa, respectively.
Small artiodactyls with tapir-like teeth from the middle Eocene of the Erlian Basin, Inner Mongolia, China

Artiodactyls diversified during the Eocene and Oligocene in North America and Europe after their first Holarctic appearance at the beginning of the Eocene. However, the relationships among early artiodactyls, European endemic forms, and later derived suiforms, tylopods, and ruminants remain unclear. Early artiodactyls are relatively rare in Asia compared to those known from North America and Europe; thus, investigation of Eocene artiodactyls from Asia is important to resolve these issues. Here we report two new genera and three new species of small early artiodactyls from middle Eocene deposits of the Erlian Basin, Inner Mongolia, China. The new materials represent a morphologically gradational series from Asian Land Mammal Ages Irdinmanhan to Sharamurunian, characterized by a trend towards bilophodonty in the lower molars. Morphologic and phylogenetic analyses suggest that these new taxa have a close relationship with the enigmatic European Tapirulus, which currently consists of five species that range from the middle Eocene to the early Oligocene. The close relationship between the Erlian specimens and Tapirulus suggests possible faunal exchanges between Europe and Asia during the middle Eocene, a view that has been supported by other mammalian groups across the two continents. The evolution of bilophodonty in Tapirulidae and Raoellidae is probably attributable to convergence.
Linking Informative and Factual CSR Communication to Reputation: Understanding CSR Motives and Organizational Identification

The way corporate social responsibility (CSR) communication relates to corporate reputation has attracted an increasing amount of attention from communication and business researchers and practitioners. To place our study in the context of CSR and employee communication, we proposed a CSR communication—motives—organizational identification—corporate reputation model. Data collected from an online Qualtrics survey (n = 811) supported all the proposed hypotheses linking informativeness and factual tone in CSR communication, employee-perceived intrinsic/other-serving motives of their organizations’ CSR activities, organizational identification, and corporate reputation. Specifically, informativeness and a factual tone in CSR communication were positively related to employee-perceived intrinsic/other-serving motives of their organizations’ CSR activities. Employee-perceived intrinsic/other-serving motives of their organizations’ CSR activities were positively associated with employee organizational identification. Employee organizational identification was positively related to corporate reputation. In addition, employee-perceived intrinsic/other-serving motives of their organizations’ CSR activities and employee organizational identification turned out to be two significant mediators in the proposed model between CSR communication and corporate reputation. We conducted a two-step structural equation modeling (SEM) analysis to analyze the collected data. The theoretical and practical implications of the study were discussed.
Surface-pressure fluctuations induced by boundary-layer flow at finite Mach number

A theory describing boundary-layer surface-pressure fluctuations on a rigid surface is presented in a form that illustrates the main effect of compressibility. The most significant effect is that the correlation area is proportional to the square of mean-flow Mach number so it does not vanish in flow of finite compressibility. Modifications of the wave-number and frequency spectra by this effect are described, and the results applied to the computation of large plate response. That computation incorporates the effect of fluid loading, which enters the response equations as a dissipative term for components at supersonic phase velocity but merely as an added loading for subsonic components.
Stability and transition of attachment-line flow

Moving vehicles, such as submarines and airplanes, are surrounded by a thin boundary layer in which the relative uid velocity drops rapidly to zero close to the solid walls of the vehicle. The transition of such boundary layers from laminar into turbulent flow is an interesting phenomenon. Moreover, a strong international interest in problems of stability and transition of wall-bounded shear layers exists in connection with the design of many transport vehicles. In particular the stability and transition in attachment-line boundary-layer flow which forms e.g. near the leading edge of a wing is the central theme of this thesis. This theme has been investigated by solving appropriate mathematical models based on the Navier-Stokes equations numerically. For this purpose the attachment-line flow is considered as composed of a basic boundary-layer flow and perturbations superimposed on it. The models used consist of equations for the perturbations and the basic flow.
Global Polynomial Synchronization of Proportional Delayed Inertial Neural Networks

In this article, the global polynomial synchronization (GPS) using proportional delay inertial neural networks (PDINNs) as a drive-response system is studied. A feedback controller is designed, which is easy to implement in hardware. The order reduction method is used to reduce the error system of the studied systems to the first-order differential equations. The novel proportional delay differential inequalities (DDIs) in norm form are established by applying Lagrange’s mean value theorem, derivative definition, constructing auxiliary function method, and properties of matrix and vector norm. By applying the novel constructed DDIs, two GPS criteria of the studied systems are acquired, which are embodied in the form of matrix norm and are easy to verify. Ultimately, the theoretical results are supported by numerical examples.
Clinical findings, blood chemistry values, and epidemiologic data from dairy goats with pregnancy toxemia

Pregnancy toxemia is one of the most common diseases in sheep and goats occurring during the last month of gestation. Clinical signs and blood chemistry findings from 22 clinical cases of pregnancy toxemia in dairy goats are described. All were maintained on a single farm that used an intensive dry-lot production system. Clinical signs observed most consistently were anorexia, ruminal atony, polypnea, drooping ears, a preference for recumbency with reluctance to stand or walk, swelling (subcutaneous edema) of the limbs, inability to stand or walk, and neurological signs. Major blood chemistry results showed decreased potassium, glucose, pH, bicarbonate, base excess, and partial pressure of carbon dioxide (pCO2). The prognosis was very poor in goats with a case fatality rate of 86%, even though a caesarean section was performed or kidding was induced, and medical treatments were administered in an attempt to correct the underlying glucose deficit and metabolic acidosis. The mortality rate was 100% in 11 does with pregnancy toxemia when the blood pH was 7.122 or lower.
Long-term variation time scales in OJ 287

The light curve data from 1894 to 2008 are compiled for the BL Lacertae object OJ 287 from the available literature. Periodicity analysis methods (the Discrete Correlation Function-DCF, the Jurkevich method, the power spectral (Fourier) analysis, and the CLEANest method) are performed to search for possible periodicites in the light curve of OJ 287. Significance levels are given for the possible periods. The analysis results confirm the existence of the 12.2 ± 0.6 yr time scale and show a hint of a ~53 yr time scale. The 12.2±0.6 yr period is used as the orbital period to investigate the supermassive binary black hole system parameters.
MLiM: High-Performance Magnetic Logic in-Memory Scheme With Unipolar Switching SOT-MRAM

Conventional computing architectures based on the von Neumann structure are suffering from the severe ‘memory wall’ issue due to the isolation and speed mismatch between memory and processor. As a promising solution, the concept of logic in-memory (LiM) has been proposed to effectively reduce the overhead of data migration and has been extensively studied in various memory technologies such as SRAM, DRAM, MRAM, ReRAM, etc. Among them, SOT-MRAM combines the advantages of non-volatility, low static power consumption, ultra-fast read/write speed, and high density, has emerged as one of the most promising candidates for low-power LiM implementations. In this paper, four in-memory logic operations, AND, OR, MAJ and full-addition (FA), are proposed based on the Unipolar Switching (US) SOT-MRAM devices. Incorporating the emerging switching behavior of SOT-MRAM, these operations can be performed with the basic memory access operations (read/write) with negligible modifying peripheral circuits. Meanwhile, by optimizing the operation steps, the performance degradation caused by the instability of SOT-MRAM device can be minimized in the proposed LiM architecture. Detailed simulation results show that the proposed design can reduce the latency (energy) of AND, OR operations at least by 71.2%, 74.4% (30.0%, 35.4%) compared with the existing SRAM and STT-MRAM designs. For MAJ and FA operations, the performance is improved by at least 34.7% and 44.8% compared to the existing design. The robustness of our design is demonstrated by the 100% pass of the 1000 samples Monte Carlo simulations for the sufficient switching current margin and the effectiveness of basic operations.
Physical stability and dissolution of ketoprofen nanosuspension formulation: Polyvinylpyrrolidone and Tween 80 as stabilizers

This study was conducted to improve the dissolution of ketoprofen in nanosuspensions. Ketoprofen nanosuspensions were prepared by a solvent evaporation method using polyvinylpyrrolidone (PVP) and Tween 80 as stabilizers at varied ratios with ketoprofen. Ethanol was used as a solvent for ketoprofen. Physical stability and dissolution of the produced ketoprofen nanosuspensions and conventional suspension were analyzed and compared. The parameters evaluated for their stability for a three-month period were pH, appearance, odor, color, particle size, zeta potential, polydispersity index (PI), and dissolution compared with ketoprofen suspension. Ketoprofen and PVP ratios of 1:1 and 1:1.5 had nano-scale particle sizes of 78.47±0.61 and 156.9±1.55, respectively. These nanosuspensions had stable pH, appearance, odor, color, particle size, and PI at room temperature. The dissolution rates of ketoprofen nanosuspensions were higher compared to that of ketoprofen conventional suspension. PVP and Tween 80 improved ketoprofen nanosuspension dissolution and was stable at room temperature for three months
Practical bayesian optimization

Global optimization of non-convex functions over real vector spaces is a problem of widespread theoretical and practical interest. In the past fifty years, research in global optimization has produced many important approaches including Lipschitz optimization, simulated annealing, homotopy methods, genetic algorithms, and Bayesian response-surface methods. This work examines the last of these approaches. The Bayesian response-surface approach to global optimization maintains a posterior model of the function being optimized by combining a prior over functions with accumulating function evaluations. The model is then used to compute which point the method should acquire next in its search for the optimum of the function. Bayesian methods can be some of the most efficient approaches to optimization in terms of the number of function evaluations required, but they have significant drawbacks: Current approaches are needlessly data-inefficient, approximations to the Bayes-optimal acquisition criterion are poorly studied, and current approaches do not take advantage of the small-scale properties of differentiable functions near local optima. This work addresses each of these problems to make Bayesian methods more widely applicable.
Diversity of Bacteria with Quorum Sensing and Quenching Activities from Hydrothermal Vents in the Okinawa Trough

Quorum sensing (QS) is a chemical communication system by which bacteria coordinate gene expression and social behaviors. Quorum quenching (QQ) refers to processes of inhibiting the QS pathway. Deep-sea hydrothermal vents are extreme marine environments, where abundant and diverse microbial communities live. However, the nature of chemical communication in bacteria inhabiting the hydrothermal vent is poorly understood. In this study, the QS and QQ activities with N-acyl homoserine lactones (AHLs) as the autoinducer were detected in bacteria isolated from hydrothermal vents in the Okinawa Trough. A total of 18 and 108 isolates possessed AHL-producing and AHL-degrading abilities, respectively. Bacteria mainly affiliated with Rhodobacterales, Hyphomicrobiales, Enterobacterales and Sphingomonadales showed QS activities; QQ was mainly associated with Bacillales, Rhodospirillales and Sphingomonadales. The results showed that the bacterial QS and QQ processes are prevalent in hydrothermal environments in the Okinawa Trough. Furthermore, QS significantly affected the activities of extracellular enzymes represented by β-glucosidase, aminopeptidase and phosphatase in the four isolates with higher QS activities. Our results increase the current knowledge of the diversity of QS and QQ bacteria in extreme marine environments and shed light on the interspecific relationships to better investigate their dynamics and ecological roles in biogeochemical cycling.
Identification of Supramolecular Structures of Porphyrin Polymer on Single-Walled Carbon Nanotube Surface Using Microscopic Imaging Techniques

Although the supramolecular structure of porphyrin polymers on flat surfaces (i.e., mica and HOPG) has been extensively studied, the self-assembly arrays of porphyrin polymers on the SWNT (as curved nanocarbon surfaces) have yet to be fully identified and/or investigated, especially using microscopic imaging techniques, i.e., scanning tunneling microscopy (STM), atomic force microscopy (AFM), and transmission electron microscopy (TEM). This study reports the identification of the supramolecular structure of poly-[5,15-bis-(3,5-isopentoxyphenyl)-10,20-bis ethynylporphyrinato]-zinc (II) on the SWNT surface using mainly AFM and HR-TEM microscopic imaging techniques. After synthesizing around >900 mer of porphyrin polymer (via Glaser-Hay coupling); the as-prepared porphyrin polymer is then non-covalently adsorbed on SWNT surface. Afterward, the resultant porphyrin/SWNT nanocomposite is then anchored with gold nanoparticles (AuNPs), which are used as a marker, via coordination bonding to produce a porphyrin polymer/AuNPs/SWNT hybrid. The polymer, AuNPs, nanocomposite, and/or nanohybrid are characterized using 1H-NMR, mass spectrometry, UV-visible spectroscopy, AFM, as well as HR-TEM measuring techniques. The self-assembly arrays of porphyrin polymers moieties (marked with AuNPs) prefer to form a coplanar well-ordered, regular, repeated array (rather than wrapping) between neighboring molecules along the polymer chain on the tube surface. This will help with further understanding, designing, and fabricating novel supramolecular architectonics of porphyrin/SWNT-based devices.
Model-Based Design for Reactors of the Modular Multilevel Converter

For complex power electronic converters, typical design approaches divide the system into multiple independent subsystems without sufficiently considering the interactions among them. In this article, a model-based approach for sizing the reactors of the modular multilevel converter (MMC) is proposed. The proposed method quantitatively considers the interactions between the reactor sizing and other design parameters, such as power ratings, protection schemes, and component-level short-circuit capabilities. Meanwhile, three deterministic factors are provided in this article for sizing reactors to ensure enough robustness during extreme situations instead of the heuristic factor in the existing work. The quantified interactions presented in this article also reveal that a proper overrating of the active components is able to reduce reactance, increase efficiency, and improve power density. The proposed method not only serves as a quantitative design tool for the MMC, but also emphasizes the significance of the modeling of the interactions in the model-based design. Finally, the effectiveness of the proposed method is validated by simulations and experiments. This article is also accompanied by software codes for reproducibility.
Generation of magnetic and particle Pc5 pulsations during the recovery phase of strong magnetic storms

The dynamics of intense ultra-low-frequency (ULF) activity during three successive strong magnetic storms during 29–31 October 2003 are considered in detail. The spatial structure of Pc5 waves during the recovery phases of these storms is considered not only from the perspective of possible physical mechanisms, but as an important parameter of the ULF driver of relativistic electrons. The global structure of these disturbances is studied using data from a worldwide array of magnetometers and riometers augmented with data from particle detectors and magnetometers on board magnetospheric satellites (GOES, LANL). The local spatial structure is examined using the IMAGE magnetometers and Finnish riometer array. Though a general similarity between the quasi-periodic magnetic and riometer variations is observed, their local propagation patterns turn out to be different. To interpret the observations, we suggest a hypothesis of coupling between two oscillatory systems—a magnetospheric magnetohydrodynamic (MHD) waveguide/resonator and a system consisting of turbulence + electrons. We propose that the observed Pc5 oscillations are the result of MHD waveguide excitation along the dawn and dusk flanks of the magnetosphere. The magnetospheric waveguide turns out to be in a meta-stable state under high solar wind velocities, and quasi-periodic fluctuations of the solar wind plasma density stimulate the waveguide excitation.