Miracle-dz/UniFAR-FTUs huggingface dataset:
350 Micron Continuum Imaging of the Orion A Molecular Cloud with the Submillimeter High Angular Resolution Camera

We have used the Submillimeter High Angular Resolution Camera (SHARC) bolometer camera at the Caltech Submillimeter Observatory to map the distribution of the broadband 350 μm continuum emission toward the Orion A molecular cloud. A comparison of the 350 μm flux densities in OMC-1 with previous 1100 μm measurements indicates a strong spatial variation of the grain emissivity exponent, β. The lowest value of the exponent (β ≃ 1.75) is found toward the Orion Bar photon-dominated region (PDR), while the highest value (β ≃ 2.5) is found toward the Orion Ridge north of IRc2. This variation is consistent with the destruction of grain mantles by the UV photons from the Trapezium cluster. The observed spatial variation of β in OMC-1 suggests that the long-wavelength grain emissivity may also vary significantly in GMC cores on small linear scales (≲0.5 pc), affecting H2 column density and mass estimates. The 350 μm continuum emission in the Orion Bar region correlates well with the CO (6-5) peak brightness temperature and is shifted by ~10'' from the molecular component traced by the 13CO (6-5) emission. This indicates that the 350 μm dust emission in this region originates predominantly in the outer high-temperature PDR layers. Several filamentary structures previously detected in molecular tracers are also seen in our map at flux levels comparable to those seen in the Bar. Over 30 compact dust sources are detected in the OMC-2 and OMC-3 clouds, including a dozen sources not previously known. The average 350/1300 μm flux ratio based on our data and previous observations of this region (63 ± 19) indicates low dust temperatures (17 ± 4 K, assuming β = 2) for most of the sources. The brightest 350 μm source in OMC-3 has a low 350/1300 μm ratio (~23), indicating a very low dust temperature (~10 K), or a significant opacity at 350 μm (~2.5). This source appears to be a deeply embedded and cold young protostar. A comparison of the mass estimate for the OMC-2/3 filament based on the 350 μm continuum emission with previous C18O mass estimates indicates a relatively high grain emissivity, Q(350) = 4 × 10-4, in this region.
A photometric study of the Orion OB 1 association. 3: Subgroup analyses

The four principal subgroups of the association were examined in detail using individual distances and reddening values determined for their B type members. Subgroup 1a appeared not to show a spread in age, nor did it show a systematic distance increase with right ascension when fainter members were considered. An eastwardly increase in distance was found for subgroub 1b, but the reddening law for the east Belt appeared normal. Small subclusterings in the vicinity of the Orion Nebula appeared not to differ in the evolutionary state, but their ages were considerably greater than those of stars in the nebulae and its associated cluster.
Theory of short‐scale field‐aligned density striations due to ionospheric heating

The theoretical saturation spectrum of parametrically excited Langmuir waves in a locally uniform ionosphere is shown by the present claculations to produce, by ohmic dissipation, short-scale field-aligned density striations. The spectrum of the calculated striations is not inconsistent with observations of field-aligned scatter of VHF and UHF waves in ionospheric modification experiments if local increases of the pump field due to focusing are invoked.
On the aggregation of preferences

The article attempts to show how network theory may be applied to gain new and better insights into basic economic problems. Starting with a precise definition of what is meant by acting and, in particular, by economic acting, we direct the line of argumentation toward solving the problem of how to aggregate economic decisions. Results indicate that network theory might well prove itself to be a powerful instrument in developing a theory of human behavior much more comprehensive than currently used models.
Analyze the Effect of Healthy Behavior on Weight Change and Its Conceptual Use in Digital Behavioral Intervention

The gradual increase of negative behavior in humans because of physical inactivity, unhealthy habit, and improper nutrition expedites the growth of lifestyle diseases. Proper lifestyle management may help to reach personal weight goals or maintain a normal weight range with optimization of health behaviors (physical activity, diet, and habits). This study conceptualizes a method to integrate the proposed mathematical model in a digital intervention strategy targeting obesity as a study case. We verify our proposed model with simulated data and compare it with related models based on the defined constraints. We express the mathematical model as a function of activity, habit, and nutrition with the first order law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a link between health behavior and weight change. We have used revised Harris-Benedict formulas (HB) for BMR and TDEE calculations. The proposed model showed a strong relationship between health behavior and weight change. The adoption of BMR and TDEE measures following the revised HB formula has outperformed the classical Wishnofsky’s rule (3500 kcal. ≈ 1 lb. or 7700 kcal ≈ 1 Kg.), and the models proposed by Toumasis et al., Azzeh et al., and Mickens et al. with an average standard deviation (σ) of ±2.26, ±2.67, ±2.432, and ±2.29 respectively. This study helped us to understand the impact of healthy behavior on weight change with a mathematical model and its importance in maintaining a healthy lifestyle.
Renormalization of Interacting Scalar Field Theories in Curved Space-time

The renormalization of interacting scalar field theories in general curved space-times is discussed. The background-field method is used to calculate the effective action. Divergences are analyzed using heat-kernel techniques and dimensional regularization. Renormalization of a scalar field theory with cubic and quartic self-interactions is shown at the two-loop level in a four-dimensional space-time. Counterterms, including the gravitational ones, are computed to this order. Renormalization of the one-loop effective action is examined for a scalar field with a cubic self-interaction in a general six-dimensional space-time. As a result of the asymptotic freedom of this theory, the coupling constant appearing in the Rphi/sup 2/ term is shown using the renormalization group to have an ultraviolet fixed point given by its conformal value of (1/5).
Joint Subcarrier and Power Allocation for Multi-Carrier NOMA-IBFD Wireless Communication System

We consider a multicarrier (MC) single-cell mobile communication system with In-band full duplex (IBFD) capable base station (BS) and half duplex (HD) mobile nodes. The BS employs non-orthogonal multiple access (NOMA) technique for both uplink (UL) and downlink (DL) communication. We assume superposition of more than two users can be done in any given direction using NOMA. We maximize sum rate subject to total power constraints at the BS and at the UL users. We propose a modification to the particle swarm optimization (PSO) algorithm to reduce computational complexity. We compare the performance of our modified PSO with the block coordinated descent (BCD) algorithm proposed in baseline scheme. Our simulation results show significant improvement in terms of sum rate when compared to baseline algorithm. We also compare the performance with half duplex BS employing NOMA in a given direction.
Overmodulation Strategy in Flux Weakening Region of IPMSM for Electric Scooter

This paper proposes overmodulation strategy in flux weakening region of IPMSM(interior permanent magnet synchronous motor) for electric scooter. In case of electric scooter application, the traction motor is controlled under limited battery voltage. And the driving condition of the electric scooter is getting severe because the scooter request higher dynamic and acceleration performance. It means the higher output power is required for the better performance. Therefore overmodulation can be one of solution to achieve these requirement. However, in case of inverter system using leg shunt resistor, it has a limit to the current measurement. So it have a bad impact on overmodulation. In this paper, overmodulation strategy in flux weakening region is proposed. The proposed overmodulation strategy is verified through the experiment.
Power Boosting Based User Pairing in NOMA Systems

Non orthogonal multiple access (NOMA) is a potential solution for communication systems with massive connection requirement. It enables multiple users to share the same time-frequency resource block through user pairing, so as to improve the spectrum efficiency of the system. However, the advantage of NOMA can only be fully utilized when the difference of user channels are quite large, while it is rarely achieved when the user channels are similar due to the poor performance of successive interference cancellation (SIC) receiver. In this paper, a user pairing scheme based on power boosting is proposed for NOMA systems, which enables users with similar channel gains to get paired and obtain NOMA advantage. In addition to a feasibility analysis on promoting more paired users by increasing certain power, the relationship between the required power boosting and channel difference is also derived. Simulation results demonstrate that, compared with the hybrid transmission of NOMA and orthogonal multiple access (OMA), our proposed scheme can significantly improve the spectrum efficiency with little power efficiency degradation.
Dielectric and Pyroelectric Response of BaTiO3-PVDF Nanocomposites

Abstract Dielectric response of (0–3) type composites, made of BaTiO 3 particles with mean size of 20–30 nm and polyvinylidene fluoride was found to be determined by the response of BaTiO 3 with a broad Curie point anomaly at TC ≈ 317 K. The dielectric anomaly appears in the same temperature range where the decrease in the wave number of the strongest Raman band at ∼520 cm−1 was observed. HRTEM images revealed a core-shell structure of the BaTiO 3 particles and in some grains greater than ∼20 nm fine 180° domain structure was observed.
Redefining the Trust Model for the Internet of Everything in the 6G era

Despite decades of evolution, the fundamental trust model of mobile networks remains unchanged. As a result, each mobile device has its own identity chip with network access credentials to be able to use mobile services such as voice telephony or Internet access. The upcoming Internet of Everything (IoE) revolution leads to a massive increase in connected devices and challenges the scalability of this approach. We propose to simplify trust establishment and show how the identity chips storing the credentials can be eliminated for most devices. The key idea is a new trust model in which an authorized subscriber securely delegates trust to other devices such that these other devices can claim legitimacy to connect to the mobile network. Our analysis shows that this proposal significantly reduces costs compared to the 5G trust model.
A Hybrid machine learning based model for congestion prediction in mobile networks

Congestion avoidance in radio access networks enhances considerably the end-user Quality of Service (QoS). Congestion should be predicted in advance to allow Self Organizing Networks (SON) algorithms to perform appropriate parameter adjustments (such as handover parameters for mobility load balancing). For this purpose, a novel hybrid model efficient congestion prediction mechanism is proposed in this paper. This hybrid learning model combines unsupervised and supervised learning algorithms. The unsupervised learning consists of a co-clustering algorithm based on Latent Block Model (LBM) that groups similar cells according to their KPIs behaviour over time. Following the co-clustering model, a logistic regression approach is applied on each cluster to predict congestion and alert operators to avoid congestion occurrence in mobile networks. The applicability of the hybrid model is validated for a real data represented by Key Performance Indicators (KPIs) collected periodically for 12 days in a live Long-Term Evolution (LTE) network. The hybrid proposed model has proven its efficiency in congestion prediction in terms of accuracy, precision, recall and F-measure.
216 GBd Plasmonic Ferroelectric Modulator Monolithically Integrated on Silicon Nitride

We demonstrate a 216 GBd plasmonic ferroelectric modulator monolithically integrated with a foundry-produced silicon nitride platform. The combination of low-loss waveguiding, nanoscale plasmonics, and strong Pockels coefficients in barium titanate offers a platform for next-generation optical interconnect systems.
Cumulative distributions of rainfall rate and microwave attenuation in Singapore's tropical region

The microwave attenuation due to rainfall in tropical regions has not been very widely studied yet. In Singapore's tropical environment, line‐of‐sight microwave communication links were set up and have been operated for several years to study the microwave attenuation characteristics due to tropical rainfall. In this paper the experimental results are presented, including the cumulative distributions of rainfall rate, the cumulative distributions of microwave attenuation, the relationship between specific attenuation and rainfall rate, and frequency scaling formulae. The results show that the rainfall rate and the microwave propagation characteristics in Singapore over a 10‐month experiment period are out of accord with International Radio Consultative Committee predictions.
New Power Management of All-Electric Ships during Berthing

This paper presents a new power management of all-electric ships (AESs). During berthing, the active current generated by photovoltaic (PV) inverters of AESs is supplied to the AES loads. The electricity cost charged by port authority can be reduced. Especially, in case of fault occurring at the shore side, the voltage sag is compensated by injecting the reactive current from PV inverters of AESs to the seaport power system. The proposed method also classifies the priorities of AES loads. The AES loads are disconnected depending on load priorities to decrease the current demand of AESs. According to the simulation results, the proposed method provides a lower electricity bill and large reduction in voltage sag.
LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track)

As machine learning (ML) has become more preva-lent across many critical domains, so has the need to understand ML applications' resilience. While prior work like TensorFI [1], MindFI [2], and PyTorchFI [3] has focused on building ML fault injectors for specific ML frameworks, there has been little work on performing fault injection (FI) for ML applications written in multiple frameworks. We present LLTFI, a framework-agnostic fault injection tool for ML applications, allowing users to run FI experiments on ML applications at the LLVM IR level. LLTFI provides users with finer FI granularity at the level of instructions, and a better understanding of how faults manifest and propagate between different ML components. We evaluate LLTFI on six ML programs and compare it with TensorFI. We found significant differences in the Silent Data Corruption (SDC) rates for similar faults between the two tools. Finally, we use LLTFI to evaluate the efficacy of selective instruction duplication - an error mitigation technique - for ML programs.
Observations of Sulfur-Dioxide in the Kleinmann-Low Nebula

We present observations of SO/sub 2/ toward the Orion KL Nebula. Fourteen transitions of SO/sub 2/ and /sup 34/SO/sub 2/, which span a range of excitation up to 365 K above the ground state, were detected. The SO/sub 2/ lines cannot be fitted by an optically thin source model with a single rotational temperature. Partial saturation of the strongest SO/sub 2/ lines and an increase in the rotational SO/sub 2/ rotation temperature probably indicates the kinetic temperature of the plateau source, since it agrees with other estimates of the kinetic temperature in this region. No strong variation in rotational temperature with velocity is found for at least the central +- 20 km s/sup -1/ of the SO/sub 2/ plateau. The size of the SO/sub 2/ emitting region in Orion was estimated to be . 7) and H/sub 2/CO(1/sub 01/.-->.0/sub 00/) in several sources. « less
The Simple Connectedness of a Tame Weakly Shod Algebra

Abstract We prove that a tame weakly shod algebra A which is not quasi-tilted is simply connected if and only if the orbit graph of its pip-bounded component is a tree, or if and only if its first Hochschild cohomology group H1(A) with coefficients in A A A vanishes. We also show that it is strongly simply connected if and only if the orbit graph of each of its directed components is a tree, or if and only if H1(A) = 0 and it contains no full convex subcategory which is hereditary of type 𝔸˜, or if and only if it is separated and contains no full convex subcategory which is hereditary of type 𝔸˜.
Families of orthogonal and biorthogonal polynomials on the N -sphere

The Laplace–Beltrami eigenvalue equation $H\Phi = \lambda \Phi $ on the n-sphere is studied, with an added vector potential term motivated by the differential equations for the polynomial Lauricella functions $F_A $. The operator H is self adjoint with respect to the natural inner product induced on the sphere and, in certain special coordinates, it admits a spectral decomposition with eigenspaces composed entirely of polynomials. The eigenvalues are degenerate but the degeneracy can be broken through use of the possible separable coordinate systems on the n-sphere. Then a basis for each eigenspace can be selected in terms of the simultaneous eigenfunctions of a family of commuting second-order differential operators that also commute with H. The results provide a multiplicity of n-variable orthogonal and biorthogonal families of polynomials that generalize classical results for one and two variable families of Jacobi polynomials on intervals, disks, and paraboloids.
Soret and Dufour Effects on Free Convection Heat and Mass Transfer From a Horizontal Flat Plate in a Darcy Porous Medium

The effect of Soret and Dufour parameters on the non-Darcy natural convection over a horizontal flat plate in saturated porous medium is studied using similarity technique. Forchheimer extension is considered in the flow equations. Wall temperature and concentration distributions are assumed to be of the form Ax1/2 and Bx1/2 respectively, where x is the distance from the leading edge. The effect of Soret parameter Sr, Dufour parameter Df, diffusivity ratio Le, buoyancy ratio parameter N and the inertia parameter Gr on non-dimensional temperature and concentration, heat and mass transfer coefficients are analyzed. The variation of heat and mass transfer coefficients with these second order effects is presented for various values of the flow governing parameters.
A Cache-Aided Power Optimization Technique for Adaptive Secure Transmission Systems

This paper studies adaptive modulation techniques aiming to implement secure transmission in practical communication systems imposed with finite alphabet constraints. As a baseline, the logarithm barrier method is applied to solve the adaptive modulation problem formulated with an inequality constrained secrecy capacity maximization. However, the interested problem requires to jointly solve plural sub-problems to select the best alphabet-set, which incurs a high complexity issue for the baseline technique due to identifying infeasible cases. Hence, we propose a new cache-aided power optimization algorithm that finds the optimal solution with a statistically independent complexity order of the number of the sub-problems. Simulation results obtained in MIMO-ME scenarios verify the effectiveness of the new cache-aided bisection (C-bisect) method that it achieves normalized throughput performance of 0.95.
Deep Hashing for Speaker Identification and Retrieval Based on Auditory Sparse Representation

Deep hashing algorithms used for speaker identification and retrieval aim to produce discriminative hash codes for a set of speech signals. The basis of this task is highly related to speaker individuality. However, existing deep speaker hashing algorithms were constructed without considering speaker individuality. Previous studies have demonstrated the importance of speaker individuality in speech analysis and synthesis applications. Furthermore, recent studies have demonstrated the advantages of sparse representations of speech signals over the traditional spectrograms. This paper proposes a method for hashing the significant acoustical features related to speaker individuality by using auditory sparse representations. In speaker identification and speaker retrieval experiments with the VoxCeleb2 dataset, our 64-bit hash codes achieved 99.91% in top-1 accuracy and 97.55% in MAP@100, which are highly competitive with other state-of-the-art methods.
Particle–particle collision in Lagrangian modelling of saltating grains

The effect of particle–particle collision on the trajectories of saltating grains in open-channel flows is investigated. The vertical distributions of saltating particles are also analysed. A stochastic particle–particle collision model was designed to determine the collision probability along a particle trajectory, based on the assumption that inter-particle collision frequency may be described by the formula of kinetic gas theory. This parameter is the key quantity for the calculation of collision probability. The Monte Carlo simulation method is used to obtain the velocity and concentration of saltating particles. It is the first attempt to apply a probabilistic inter-particle collision approach to Lagrangian modelling of saltating grains. Trajectories of different particles with and without particle–particle collision are compared with available data. The proposed procedure allows verification of the hypothesis regarding the effect of the particle–particle collision on sediment transport. The described mechanism affects the vertical particle concentration and therefore may play an essential role in bed-load sediment transport.
THEME PARK, POPULARIZATION AND AMAZONIC RESEARCH: THE PROPOSAL OF THE SCIENCE GROVE PARK/INPA

: Theme parks are spaces for entertainment and scientific-cultural learning through cultural activities. In the states that make up the Brazilian Amazon there are few classic science museums, however, there are open environments with the presence of green and living. Thus, the objective was to characterize a Science and Technology Setting in the North Region, with its Amazonian characteristics, which carries out scientific research and promotes the popularization of this research among audiences in physical visitation spaces. We chose a Science and Technology institution that promotes the scientific popularization of its research, in this case, in Manaus/AM, the National Institute for Research in the Amazon (INPA), in its extension space, the Science Grove Park. Between February and March 2018, we received documents related to planning, reports, requests for visits and advertising, in which we carried out a thematic content analysis. The data indicated that the team of monitors carries out a curricular internship, with an average duration of six months, linked to tourism and forest management, the visitors are mostly from the early childhood school audience and their visit motivations are linked to the cultivation of enrichment. cultural origin from the Amazonian space. We believe that the monitoring model can be improved with actions of greater internalization of monitors in the institution, adopting a vision of the theme park as a museum for the adoption of a multidisciplinary educational team in addition to education/entertainment, but a vision of Amazonian heritage.