Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Machine Learning (ML) Algorithms to Classify IPv6 Network Traffic in Resource-Limited Systems

Providing machine learning (ML) based security in heterogeneous IoT networks including resource-constrained devices is a challenge because of the fact that conventional ML algorithms require heavy computations. Therefore, in this paper, lightweight ProtoNN, CMSIS-NN, and Bonsai tree ML algorithms were evaluated by using performance metrics such as testing accuracy, precision, F1 score and recall to test their classification ability on the IPv6 network dataset generated on resource-scarce embedded devices. The Bonsai tree algorithm provided the best performance results in all metrics (98.8 in accuracy, 98.9% in F1 score, 99.2% in precision, and 98.8% in recall) compared to the ProtoNN, and CMSIS-NN algorithms.
Work-to-Home Cybersecurity Spillover: Construct Development and Validation

ABSTRACT The COVID-19 pandemic has forced employees to work from home using enterprise systems outside traditional organizational boundaries. Thus, organizations cannot enforce security policies for safe IT use behaviors but depend on continuance intentions of work policies at home. We study the transfer of IT security behaviors from work to home by developing the construct of Work-to-Home Cybersecurity Spillover and empirically testing and validating it. Our findings provide practical implications for researchers and practitioners in cybersecurity.
Seismic Wave Simulation for Complex Rheologies on Unstructured Meshes

The possibility of using accurate numerical methods to simulate seismic wavefields on unstructured meshes for complex rheologies is explored. In particular, the Discontinuous Galerkin (DG) finite element method for seismic wave propagation is extended to the rheological types of viscoelasticity, anisotropy and poroelasticity. First is presented the DG method for the elastic isotropic case on tetrahedral unstructured meshes. Then an extension to viscoelastic wave propagation based upon a Generalized Maxwell Body formulation is introduced which allows for quasi-constant attenuation through the whole frequency range. In the following anisotropy is incorporated in the scheme for the most general triclinic case, including an approach to couple its effects with those of viscoelasticity. Finally, poroelasticity is incorporated for both the propagatory high-frequency range and for the diffusive low-frequency range. For all rheology types, high-order convergence is achieved simultaneously in space and time for three-dimensional setups. Applications and convergence tests verify the proper accuracy of the approach. Due to the local character of the DG method and the use of tetrahedral meshes, the presented schemes are ready to be applied for large scale problems of forward wave propagation modeling of seismic waves in setups highly complex both geometrically and physically.
The Effects of Mg/Si on the Exoplanetary Refractory Oxygen Budget

Solar photospheric abundances of refractory elements mirror the Earth’s to within ∼10 mol% when normalized to the dominant terrestrial-planet-forming elements Mg, Si, and Fe. This allows for the adoption of solar composition as an order-of-magnitude proxy for Earth’s. It is not known, however, the degree to which this mirroring of stellar and terrestrial planet abundances holds true for other star–planet systems without determination of the composition of initial planetesimals via condensation sequence calculations and post condensation processes. We present the open-source Arbitrary Composition Condensation Sequence calculator (ArCCoS) to assess how the elemental composition of a parent star affects that of the planet-building material, including the extent of oxidation within the planetesimals. We demonstrate the utility of ArCCoS by showing how variations in the abundance of the stellar refractory elements Mg and Si affect the condensation of oxygen, a controlling factor in the relative proportions of planetary core and silicate mantle material. This thereby removes significant degeneracy in the interpretation of the structures of exoplanets, as well as provides observational tests for the validity of this model.
THE REMARKABLE HIGH PRESSURE OF THE LOCAL LEO COLD CLOUD

Using the Space Telescope Imaging Spectrograph (STIS) on board the Hubble Space Telescope, we have obtained high-resolution ultraviolet spectra of the C i absorption toward two stars behind the Local Leo Cold Cloud (LLCC). At a distance (≈20 pc) that places it well inside the Local Bubble, the LLCC is the nearest example of the coldest known (T ≈ 20 K) diffuse interstellar clouds. The STIS measurements of the C i fine-structure excitation toward HD 85259 and HD 83023 indicate that the thermal gas pressure of the LLCC is much greater than that of the warm clouds in the Local Bubble. The mean LLCC pressure measured toward these two stars (60,000 cm−3 K) implies an H i density of ≈3000 cm−3 and a cloud thickness of ≈200 AU at the 20 K cloud temperature. Such a thin, cold, dense structure could arise at the collision interface between converging flows of warm gas. However, the measured LLCC pressure is appreciably higher than that expected in the colliding-cloud interpretation given the velocity and column density constraints on warm clouds in the HD 85259 and HD 83023 sightlines. Additional STIS measurements of the Zn ii, Ni ii, and Cr ii column densities toward HD 85259 indicate that the LLCC has a modest “warm cloud” dust depletion pattern consistent with its low dust-to-gas ratio determined from H i 21 cm and 100 μm observations. In support of the inferred sheet-like geometry for the LLCC, a multi-epoch comparison of the Na i absorption toward a high-proper-motion background star reveals a 40% column density variation indicative of LLCC Na i structure on a scale of ≈50 AU.
Diagnóstico automático de lesões malignas de mama em imagens histopatológicas usando mensuração mútua de características de textura bioinspiradas e Deep Learning

O câncer de mama é uma doença resultante da multiplicação anormal de células da mama, que formam massas. O diagnóstico precoce da malignidade do câncer de mama é fundamental para a sobrevivência do paciente. O Processamento Digital de Imagens em conjunto com técnicas computacionais de aprendizado de máquina possibilitam a criação de métodos para detecção da malignidade de tumores em imagens de exames histopatológicos. Assim, este artigo apresenta uma metodologia para o diagnóstico automático de lesões malignas de mama em imagens histopatológicas baseada na mensuração mútua de características de textura bioinspiradas e Deep Learning Features. Os resultados obtidos indicam que o método é promissor, alcançando acurácia de 92,9% com o classificador Random Forest.
THE MERGER HISTORY, ACTIVE GALACTIC NUCLEUS, AND DWARF GALAXIES OF HICKSON COMPACT GROUP 59

Compact group galaxies often appear unaffected by their unusually dense environment. Closer examination can, however, reveal the subtle, cumulative effects of multiple galaxy interactions. Hickson Compact Group (HCG) 59 is an excellent example of this situation. We present a photometric study of this group in the optical (Hubble Space Telescope), infrared (Spitzer), and X-ray (Chandra) regimes aimed at characterizing the star formation and nuclear activity in its constituent galaxies and intra-group medium. We associate five dwarf galaxies with the group and update the velocity dispersion, leading to an increase in the dynamical mass of the group of up to a factor of 10 (to 2.8 × 1013 M☉), and a subsequent revision of its evolutionary stage. Star formation is proceeding at a level consistent with the morphological types of the four main galaxies, of which two are star-forming and the other are two quiescent. Unlike in some other compact groups, star-forming complexes across HCG 59 closely follow mass–radius scaling relations typical of nearby galaxies. In contrast, the ancient globular cluster populations in galaxies HCG 59A and B show intriguing irregularities, and two extragalactic H ii regions are found just west of B. We age-date a faint stellar stream in the intra-group medium at ∼1 Gyr to examine recent interactions. We detect a likely low-luminosity active galactic nucleus in HCG 59A by its ∼1040 erg s−1 X-ray emission; the active nucleus rather than star formation can account for the UV+IR spectral energy distribution. We discuss the implications of our findings in the context of galaxy evolution in dense environments.
Multi‐proxy climate and environmental records from a Holocene eutrophic mire, southern taiga subzone, West Siberia

Palaeoenvironmental reconstructions from peat are strongly focused on ombrotrophic mires, but this study demonstrates that eutrophic mires can also be used. A multi‐proxy approach was applied to a eutrophic mire on a floodplain terrace in the southern taiga of West Siberia. The results of the reconstruction were considered in the wide geographic context of the surrounding regions, including Siberia and Central Asia. Different palaeoecological proxies (analysis of plant macrofossils, testate amoebae, oribatid mites, molluscs, peat humification, ash content and spectral characteristics of humic acids) were used in this study. The results of different proxies showed a high level of consistency among themselves, which allowed for a robust interpretation of Holocene mire development. Throughout the ~7800 years history of the mire, there was a high level of surface wetness. The presence of mineral matter in the peat between 7800 and 5100 cal. a BP indicates regular flooding caused by the intensive fluvial activity, apparently resulting from increased precipitation. This was followed by a trend towards a gradual decrease in surface wetness from conditions of high surface moisture (stagnant water) between 5100 and 3000 cal. a BP to present day conditions of moderate surface moisture with a water table slightly below the mire surface. This pattern is consistent with the well‐documented long‐term trend from palaeoecological records throughout the taiga and arctic zones in West Siberia and central arid Asia. Our data further support the idea that the westerlies were the dominant driver of climate for the southern taiga of West Siberia during the Middle to Late Holocene.
Deuterium fractionation and the degree of ionisation in massive clumps within infrared dark clouds

Context. Massive clumps associated with infrared dark clouds (IRDCs) are promising targets for studying the earliest stages of highmass star and cluster formation. Aims. We aim to determine the degrees of CO depletion, deuterium fractionation, and ionisation in a sample of seven massive clumps associated with IRDCs. Methods. The APEX telescope was used to observe the C 17 O(2−1), H 13 CO + (3−2), DCO + (3−2), N2H + (3−2), and N2D + (3−2) transitions towards the clumps. The spectral line data were used in conjunction with the previously published and/or archival (sub)millimetre dust continuum observations of the sources. The data were used to derive the molecular column densities and fractional abundances for the analysis of deuterium fractionation and ionisation. Results. The CO molecules do not appear to be significantly depleted in the observed clumps. The DCO + /HCO + and N2D + /N2H + column density ratios are about 0.0002–0.014 and 0.002–0.028, respectively. The former ratio is found to decrease as a function of gas kinetic temperature. A simple chemical analysis suggests that the lower limit to the ionisation degree is in the range x(e) ∼ 10 −8 −10 −7 , whereas the estimated upper limits range from a few 10 −6 up to ∼10 −4 . Lower limits to x(e) imply that the cosmic-ray ionisation rate of H2 lies between ζH2 ∼ 10 −17 −10 −15 s −1 . These are the first estimates of x(e) and ζH2 towards massive IRDCs reported so far. Some additional molecular transitions, mostly around 216 and 231 GHz, were detected towards all sources. In particular, IRDC 18102-1800 MM1 and IRDC 18151-1208 MM2 show relatively line-rich spectra. Some of these transitions might be assigned to complex organic molecules, although the line blending hampers the identification. The C 18 O(2−1) transition is frequently seen in the image band. Conclusions. The finding that CO is not depleted in the observed sources conforms to the fact that they show evidence of star formation activity, which is believed to release CO from the icy grain mantles back into the gas phase. The observed degree of deuteration is lower than in low-mass starless cores and protostellar envelopes. Decreasing deuteration with increasing temperature is likely to reflect the clump evolution. On the other hand, the association with young high-mass stars could enhance ζH2 and x(e) above the levels usually found in low-mass star-forming regions. On the scale probed by our observations, ambipolar diffusion cannot be a main driver of clump evolution unless it occurs on timescales � 10 6 yr.
Efficient MPS algorithm for periodic boundary conditions and applications

We present an implementation of an efficient algorithm for the calculation of the spectrum of one-dimensional quantum systems with periodic boundary conditions. This algorithm is based on a matrix product representation for quantum states (MPS), and a similar representation for Hamiltonians and other operators (MPO). It is significantly more efficient for systems of about 100 sites and more than for small quantum systems. We apply the formalism to calculate the ground state and first excited state of a spin-1 Heisenberg ring and deduce the size of the Haldane gap. The results are compared to previous high-precision DMRG calculations. Furthermore, we study spin-1 systems with a biquadratic nearest-neighbor interaction and show first results of an application to a mesoscopic Hubbard ring of spinless Fermions which carries a persistent current.
Intergenerational Effect of Parental Childhood Maltreatment on Chinese Preschool Children’s Aggressive Behavior

ABSTRACT Based on the conservation of resources theory and social learning theory, this study looked into the impact of parental childhood maltreatment (CM) history on their children’s aggressive behavior (CAGG) by examining the sequential mediation effect of parental psychological capital (PPC) and harsh parenting (HP). A total of 471 Chinese parents with preschool children reported on CM, psychological capital, and harsh parenting. Besides, children’s aggression was reported by their mothers. The results illustrated that parental CM is related to children’s aggressive behavior through the sequential mediation of psychological capital and harsh parenting. Interventions that reduce harsh parenting and increase parental psychological capital may prevent deleterious effects of parental childhood maltreatment history on child aggressive behavior.
Soft X-ray Observation of the Prompt Emission of GRB100418A

We have observed the prompt emission of GRB100418A, from its beginning by the MAXI/SSC (0.7-7 keV) on board the International Space Station followed by the Swift/XRT (0.3-10 keV) observation. The light curve can be fitted by a combination of a power law component and an exponential component (decay constant is $31.6\pm 1.6$ sec). The X-ray spectrum is well expressed by the Band function with $E_{\rm p}\leq$8.3 keV. This is the brightest GRB showing a very low value of $E_{\rm p}$. It satisfies the Yonetoku-relation ($E_{\rm p}$-$L_{\rm p}$). It is also consistent with the Amati relation ($E_{\rm p}$-$E_{\rm iso}$) in 2.5$\sigma$ level.
On the SPEC-CPU 2017 opportunities for dynamic vectorization possibilities on PIM architectures

Processing-In-Memory (PIM) devices usually implement vector instructions to efficiently utilize the large main memory bandwidth. One possible way to vectorize applications for such PIM systems is to convert CPU instructions into PIM vector instructions dynamically. In this work, we present a study on the feasibility of the dynamic conversion between these instructions for the Vector-In-Memory Architecture (VIMA). Our results show that 24 % of the loops from some SPEC-CPU 2017 applications are suitable for this conversion. Furthermore, we conclude that dynamic conversion mechanisms must to be able to efficiently deal with memory access conflicts, a problem present in 99 % of all possible conversions to VIMA.
Characterizing And Exploiting Hybrid Entanglement

Quantum information theory is a very young area of research offering a lot of challenging open questions to be tackled by ambitious upcoming physicists. One such problem is addressed in this thesis. Recently, several protocols have emerged which exploit both continuous variables and discrete variables. On the one hand, outperforming many of the established pure continuous variable or discrete variable schemes, these hybrid approaches offer new opportunities. However, on the other hand, they also lead to new, intricate, as yet uninvestigated, phenomena. An important ingredient of several of these hybrid protocols is a new kind of entanglement: The hybrid entanglement between continuous variable and discrete variable quantum systems, which is studied in detail in this work. An exhaustive analysis of this kind of entanglement is performed, where the focus is on bipartite entanglement. Nevertheless, also issues regarding multipartite hybrid entanglement are briefly discussed. The quintessence of this thesis is a new classification scheme which distinguishes between effective discrete variable hybrid entanglement and so-called true hybrid entanglement. However, along the way, also other questions are addressed, which have emerged during the studies. For example, entanglement witnessing is discussed not only for hybrid entangled states, but also for fully continuous variable two-mode Schroedinger cat states. Furthermore, subtleties regarding entanglement witnessing in a certain kind of mixed states are examined. Not only theoretical classification and analysis of hybrid entangled states are discussed, but also their generation is presented and a few applications are demonstrated.
PQM-75: A N-benzyl-piperidine Acyl-hydrazone Derivative with Inhibitory Effects on Clonogenic Capacity and Cell Cycle Progression of HepG2 Cells

Cancer is a complex disease and a public health problem worldwide. Despite current advances in cancer therapy, many patients display unsatisfactory clinical responses to available drugs, which reinforces the continuous need for searching for new antitumor prototypes. Data from the literature have highlighted compounds containing acylhydrazone or benzyl-piperidine subunits for their significant antiproliferative activity on tumor cells. Herein, we report the evaluation of a series of N -benzyl-piperidinyl acylhydrazone hybrid derivatives ( 6a-k ) for their cytotoxic profiles on A549 (non-small cell lung cancer) and HepG2 (hepatocellular carcinoma). As a result, derivatives PQM-75 ( 6i , (IC 50 = 58.40 ± 1.87 µM) and PQM-88 ( 6k , IC 50 = 59.58 ± 4.07 µM) showed the best antiproliferative activities against HepG2 and A549 cell lines, respectively. In addition, we demonstrated that compound 6i drastically reduced the clonogenic capacity of HepG2 cell cultures in comparison to control groups. We also observed an increased G2/M population in samples treated with 6i (at 60 µM) and a reduced frequency of cells in the S-phase. In addition, the frequency of cells in mitosis was higher in treated samples compared to control groups. In a conclusion, derivative PQM-75 ( 6i ) displays antiproliferative activity on HepG2 cells due to its ability to promote M-phase arrest.
Recent Perspectives in Random Matrix Theory and Number Theory: Frontmatter

1. Introduction 2. Prime number theory and the Riemann zeta-function 3. Notes on pair correlation of zeros and prime numbers 4. Notes on eigenvalue distributions for the classical compact groups 5. Compound nucleus resonances, random matrices and quantum chaos 6. Families of L-functions and 1-level densities 7. Basic analytic number theory 8. Applications of mean value theorems to the theory of the Riemann zeta function 9. L-functions and the characteristic polynomials of random matrices 10. Mock gaussian behaviour 11. Some specimens of L-functions 12. Computational methods and experiments in analytic number theory.
Testing antimatter gravity with muonium

The gravitational acceleration of antimatter, g ¯ , has yet to be directly measured; an unexpected outcome of its measurement could change our understanding of gravity, the universe, and the possibility of a fifth force. Three avenues are apparent for such a measurement: antihydrogen, positronium, and muonium, the last requiring a precision atom interferometer and novel muonium beam under development. The interferometer and its few-picometer alignment and calibration systems appear feasible. With 100 nm grating pitch, measurements of g ¯ to 10%, 1%, or better can be envisioned. These could constitute the first gravitational measurements of leptonic matter, of 2nd-generation matter, and possibly, of antimatter.
Kinematics and Stiffness Modeling of Soft Robot With a Concentric Backbone

Soft robots can undergo large elastic deformations and adapt to complex shapes. However, they lack the structural strength to withstand external loads due to the intrinsic compliance of fabrication materials (silicone or rubber). In this paper, we present a novel stiffness modulation approach that controls the robot's stiffness on-demand without permanently affecting the intrinsic compliance of the elastomeric body. Inspired by concentric tube robots, this approach uses a Nitinol tube as the backbone, which can be slid in and out of the soft robot body to achieve robot pose or stiffness modulation. To validate the proposed idea, we fabricated a tendon-driven concentric tube (TDCT) soft robot and developed the model based on Cosserat rod theory. The model is validated in different scenarios by varying the joint-space tendon input and task-space external contact force. Experimental results indicate that the model is capable of estimating the shape of the TDCT soft robot with an average root mean square error (RMSE) of 0.90~mm and an average tip error of 1.49~mm. Simulation studies demonstrate that the Nitinol backbone insertion can enhance the kinematic workspace and reduce the compliance of the TDCT soft robot by 57.7%. Two case studies (object manipulation and soft laparoscopic photodynamic therapy) are presented to demonstrate the potential application of the proposed design.
Otimização de Hiperparâmetros de Redes Neurais Profundas para Detecção de Cardiomegalia em radiografias do tórax

A radiografia do tórax é um dos exames mais comumente utilizados para o diagnóstico de doenças torácicas. Devido à complexidade das doenças torácicas, existe a demanda de médicos experientes e habilidosos na área para mitigar as chances de erros no diagnóstico de tais patologias. Diversas pesquisas utilizando Redes Neurais foram elaboradas para auxiliar especialistas na detecção de doenças da região do tórax como, por exemplo, a opacidade pulmonar e a pneumonia. Este trabalho apresenta uma metodologia que pretende fornecer auxílio aos profissionais da saúde no diagnóstico de doenças da região do tórax. É proposta uma abordagem baseada no balanceamento de quantidades de imagens e otimização de hiperparâmetros do modelo. Os testes foram focados na classificação da cardiomegalia e os resultados obtidos se provaram promissores alcançando 0,919 de AUC, 0,873 de acurácia, 0,842 de precisão, 0,876 de F1-Score, 0,913 de sensibilidade e 0,790 de especificidade, aproximando-se das melhores métricas presentes na literatura.