Miracle-dz/UniFAR-FTUs huggingface dataset:
Coparenting Intervention Programs: A Systematic Literature Review

The coparenting relationship affects parents’ and chil[1]dren’s socioemotional well-being. Thus, we reviewed evidence in the scientific literature to describe the objectives and organization of coparenting intervention programs, to examine the design of these studies and summarize evidence concerning the effectiveness of these programs. The following electronic databases were used: Bireme, Psycnet, Periódicos capes, and IndexPsi Periódicos. The review was carried out in April 2020 with no restrictions involving the date of publication. The keywords used were “coparenting”, combined with any of the following terms “training”, “intervention”, or “program”, in Portuguese, English, and Spanish. Based on the study criteria 34 texts about 17 intervention programs were examined to gain in[1]formation about research design, program objectives and format, topics covered, intervention strategies, and evidence of program effectiveness. We observed that an experimental design was used in two-thirds of the studies with pretest, posttest, and follow-up evaluations. In many programs, parenting was also addressed. An array of psychoeducational intervention strategies was used to improve abilities such as emotional regulation, bidirectional communication, and joint decision making. The programs were effective in helping parents to develop a more positive coparenting relationship (for example, by increasing support and reducing conflicts) and to improve their parenting (by reducing harsh parenting behaviors), with longitudinal studies indicating the stability of these effects. These findings indicate that coparenting can be improved and that working on the coparenting relationship is an important way of strengthening the socioemotional well-being of parents and their children.
Parallel Additive Manufacturing Systems

The additive manufacturing technologies develop very fast in recent years. However, we still face the problem of lacking online feedback for the system, and the reliability and robustness need to be improved. In this paper, we propose the concept of parallel additive manufacturing systems, which combine the parallel manufacturing with the additive manufacturing. Furthermore, we present how to use the artificial systems-computational experiments-parallel execution approach to make the 3D printers intelligent, in order to handle uncertainties and unexpected conditions.
Sub-Regional Variations in Sexually Transmitted Infections Manifesting as Vaginitis among Reproductive-Aged Women in Sub-Saharan Countries

Sexually transmitted infection refers to a group of clinical syndromes that can be acquired and transmitted through sexual activity and are caused by a variety of pathogens such as bacteria, fungi, viruses, and parasites. Methods: Demographic and Health Survey data involving women aged 15–49 years were analyzed for this study. The surveys were conducted between 2006–2021. Statistical significance was determined at p < 0.05. Results: From the results, Liberia (33.0%), Mali (14.0%), Guinea (13%), Uganda, and Sierra Leone (12.0% each) had the highest STI prevalence. Prominently from Western sub-Saharan Africa sub-region, Liberia (40.0%), Guinea (31.0%), Mali (28.0%), Cote d’Ivoire (24.0%), Ghana (23.0%) and Mauritania (22.0%) have the highest prevalence of reporting a bad smelling or abnormal genital discharge. In addition, Liberia (30.0%), Uganda (13.0%) and Malawi (10.0%) have the highest prevalence of reporting genital sores or ulcers. Liberia (48.0%), Guinea (34.0%), Mali (32.0%), Ghana and Mauritania (25.0% each) and Uganda (24.0%) reported the leading prevalence of STI, genital discharge, or a sore or ulcer. Conclusion: The prevalence of vaginitis varied according to women’s characteristics. In many countries, younger women, urban dwellers, educated women, rich and unmarried women reported a higher prevalence of STI, genital discharge, or a sore or ulcer. Women should be educated on the advantages of proper hygiene, and prevention and control of STIs. Program planners and policymakers should assess and improve the collaboration and coordination of nutritional and family health programs aimed at addressing women’s health issues.
MULTIPLE D2-BRANE ACTION FROM M2-BRANES

We study the detailed derivation of the multiple D2-brane effective action from multiple M2-branes in the Bagger-Lambert-Gustavsson (BLG) theory and the Aharony-Bergman-Jafferis-Maldacena (ABJM) theory by employing the novel Higgs mechanism. We show explicitly that the high-order F(3) and F(4) terms are commutator terms, and conjecture that all the high-order terms are commutator terms. Because the commutator terms can be treated as the covariant derivative terms, these high-order terms do not contribute to the multiple D2-brane effective action. Inspired by the derivation of a single D2-brane from a M2-brane, we consider the curved M2-branes and introduce anauxiliary field. Integrating out the auxiliary field, we indeed obtain the correct high-order F(4) terms in the D2-brane effective action from the BLG theory and the ABJM theory with SU(2) X SU(2) gauge symmetry, but we cannot obtain the correct high-order F(4) terms from the ABJM theory with U(N) X U(N) and SU(N) X SU(N) gauge symmetries for N > 2. We also briefly comment on the (gauged) BF membrane theory.
Parallel Operation of Integrated Battery Chargers for All Wheel Drive Electric Vehicles

In this article, an integrated charging scheme for All Wheel Drive (AWD) Electric Vehicles (EVs) is proposed. The proposed scheme utilizes the existing driving hardware for charging the battery pack with minimum external components. As the driving hardware of AWD EVs includes two motors and two inverters, an Integrated Battery Charger (IBC) with parallel configuration is proposed. In the existing topology of three-phase IBC using a split-phase machine, the grid currents were not balanced. But in the proposed parallel IBC topology, the two split phase machines are proposed with different phase configurations, namely R-Y-B and Y-R-B, which will cancel the unbalance caused by each IBC, and make the grid currents balanced. The mathematical proof for the same is also included in this article. The proposed parallel topology of IBCs has a higher power rating and hence provides faster charging compared to conventional single IBCs. Circulating current mitigation for parallel IBCs is also presented in this article. Exhaustive simulation and experimental results are included to validate the proposed scheme.
Inflation with racetrack superpotential and matter field

Two classes of racetrack inflation models, saddle point and inflection point ones, are constructed in a fully supersymmetric framework with the matter field F-term as a source of supersymmetry breaking and uplifting. Two kinds of the matter sector are considered: the Polonyi model and the quantum corrected O'Raifeartaigh model. The inflaton is dominated by the matter field in the former case, and by the volume modulus in the latter. Fine-tuning of the parameters is relaxed as compared to the corresponding racetrack models with non-supersymmetric uplifting. A low scale of supersymmetry breaking may be obtained in some cases.
Fully shielded and self‐packaged compact quarter‐mode substrate integrated coaxial line bandpass filter for X and K‐band

In this work, a dual‐mode substrate integrated coaxial line (SICL) bandpass filter supporting single‐band and dual‐band operation for widely spaced passbands located in X and K ‐ band is proposed. Firstly, a cavity conceived with shorted half‐wavelength SICL line is investigated. For enhanced miniaturization, a new SICL cavity is developed from the short‐circuited half‐wavelength SICL line which is bisected along the fictitious magnetic wall to derive its half‐mode and quarter‐mode counterparts. A fully shielded compact dual‐mode dual‐band filter is realized by coupling two quarter‐mode cavities. The proposed SICL based filter realized using standard PCB fabrication process demonstrates ease of design and enhanced flexibility in exciting the higher order mode to attain the second‐passband. The experimental results indicate widely spaced passbands with 3‐dB bandwidth of 3.18 GHz and 0.27 GHz centered at 9.61 GHz and 19.12 GHz, respectively. The proposed compact SICL based quarter‐mode filter occupies only 0.15 λg2 lateral area.
KIC 11911480: the second ZZ Ceti in the Kepler field

We report the discovery of the second pulsating hydrogen-rich (DA) white dwarf in the Kepler field, KIC 11911480. It was selected from the Kepler-INT Survey (KIS) on the basis of its colours and its variable nature was confirmed using ground-based time series photometry. An atmosphere model fit to an intermediate-resolution spectrum of KIC 11911480 places this DA white dwarf close to the blue edge of the empirical boundaries of the ZZ Ceti instability strip: Teff = 12 160 ± 250 K and log g = 7.94 ± 0.10. Assuming a mass–radius relation and cooling models for DA white dwarfs, the atmospheric parameters yield: MWD = 0.57 ± 0.06 M⊙. We also obtained two quarters (Q12 and Q16) of nearly uninterrupted short-cadence Kepler data on this star. We detect a total of six independent pulsation modes with a ≥3σ confidence in its amplitude power spectrum. These pulsations have periods ranging between 172.9 and 324.5 s, typical of the hotter ZZ Ceti stars. Our preliminary asteroseismic study suggests that KIC 11911480 has a rotation rate of 3.5±0.5 days.
Unitary irreducible representations of SL(2,{C)} in discrete and continuous SU(1,1) bases

We derive the matrix elements of generators of unitary irreducible representations of SL (2,C) with respect to basis states arising from a decomposition into irreducible representations of SU(1,1). This is done with regard to a discrete basis diagonalized by J3 and a continuous basis diagonalized by K1, and for both the discrete and continuous series of SU(1,1). For completeness, we also treat the more conventional SU(2) decomposition as a fifth case. The derivation proceeds in a functional/differential framework and exploits the fact that state functions and differential operators have a similar structure in all five cases. The states are defined explicitly and related to SU(1,1) and SU(2) matrix elements.
LitzImp: A Fast Impedance Extraction Algorithm for Litz Wire Coil

Litz wire coil (LWC) is an electronic component commonly used in wireless power transfer (WPT) and heating applications. However, due to its complex twisting structure with turns, existing calculation methods such as analytical methods and finite element method (FEM) cannot extract the impedance of LWC efficiently. This article proposes an efficient numerical calculation algorithm named LitzImp for fast impedance extraction of LWC. LitzImp provides different simplification schemes for different coil structures, reducing the resource consumption in the repeated calculation for the same structures and improving efficiency while maintaining high accuracy. Experiments with nine manufactured coils, including circular coils and rectangular coils, from simple to complex, are adopted to verify the performance of LitzImp. The comparative verification compared with FEM and the analytical method shows the advantages of LitzImp in terms of efficiency and accuracy. Through the analysis of the time consumption, the proposed method is 45 times faster than the similar numerical method for a given coil structure. For highly complex coils (500 strands), the impedance is obtained in less than 5.5 h with good agreement with the measurement. LitzImp will be a powerful tool for the optimal design of LWC due to its high efficiency.
Mass and Thermodynamic Volume in Lifshitz Spacetimes

We examine the concept of black hole thermodynamic volume and its consistency with thermodynamic mass in spacetimes that are not asymptotically flat but instead have anisotropic Lifshitz scaling symmetry. We find that the generalized Smarr relation in anti de Sitter space -- extended to include a pressure-volume term -- holds here as well, and that there exists a definition of thermodynamic mass and thermodynamic volume that satisfy both this relation and the $1^{st}$ law of thermodynamics. We compare the thermodynamic mass with other known quantities such as ADM, Brown-York and Hollands-Ishibashi-Marolf masses. We also conjecture methods for obtaining a thermodynamic mass where there is ambiguity due to the cosmological constant lengthscale depending on the horizon radius lengthscale.
Fast Successive-Cancellation Decoding of 5G Parity-Check Polar Codes

The successive-cancellation (SC) decoding of polar codes suffers from long latency due to its serial processing nature. The fast SC (FSC) decoding was proposed to address this issue by applying parallel decoders to various special nodes in the binary decoding tree. In this letter, we explore multiple special nodes containing parity-check bits of 5G polar codes. The characteristics of these nodes are well investigated. The corresponding fast decoders are developed, which significantly reduce the decoding latency without degrading the error-correction performance.
Chocolate and Skin: The Impact of an Insatiable Indulgence

Chocolate is the most sought-after delicacy worldwide. Cocoa has been incorporated in various forms, into both foods and cosmetics. Cocoa has not only been used as gourmet food but has also served as medicine for ages. Chocolates are always in vogue and remain a testament to the cocoa bean, but the benefits attained from commercial chocolates remain a fallacy. On a positive note, chocolate has its health benefits but its effects on the skin need a better understanding. Hence this article focuses on the dermatological effects of cocoa, and its use as a dermatological therapeutic agent.
Status of Higgs couplings after run 1 of the LHC

We provide an update of the global ts of the couplings of the 125 :5 GeV Higgs boson using all publicly available experimental results from Run-1 of the LHC as per Summer 2014. The ts are done by means of the new public code Lilith 1.0. We present a selection of results given in terms of signal strengths, reduced couplings, and for the Two-Higgs-Doublet Models of Type I and II.
RADIATIVE TRANSFER SIMULATIONS OF NEUTRON STAR MERGER EJECTA

Mergers of binary neutron stars (NSs) are among the most promising gravitational wave (GW) sources. Next generation GW detectors are expected to detect signals from NS mergers within about 200 Mpc. The detection of electromagnetic wave (EM) counterparts is crucial to understanding the nature of GW sources. Among the possible EM emission from the NS merger, emission powered by radioactive r-process nuclei is one of the best targets for follow-up observations. However, predictions so far have not taken into account detailed r-process element abundances in the ejecta. We perform for the first time radiative transfer simulations of the NS merger ejecta including all the r-process elements from Ga to U. We show that the opacity of the NS merger ejecta is about κ = 10 cm2 g−1, which is higher than that of Fe-rich Type Ia supernova ejecta by a factor of ∼100. As a result, the emission is fainter and lasts longer than previously expected. The spectra are almost featureless due to the high expansion velocity and bound–bound transitions of many different r-process elements. We demonstrate that the emission is brighter for a higher mass ratio of the two NSs and a softer equation of state adopted in the merger simulations. Because of the red color of the emission, follow-up observations in red optical and near-infrared (NIR) wavelengths will be the most efficient. At 200 Mpc, the expected brightness of the emission is i = 22–25 AB mag, z = 21–23 AB mag, and 21–24 AB mag in the NIR JHK bands. Thus, observations with wide-field 4 m- and 8 m-class optical telescopes and wide-field NIR space telescopes are necessary. We also argue that the emission powered by radioactive energy can be detected in the afterglow of nearby short gamma-ray bursts.
Odd-frequency Cooper pairs in two-band superconductors and their magnetic response

We discuss the appearance of odd-frequency Cooper pairs in two-band superconductors by solving the Gor’kov equation analytically. We introduce the equal-time s-wave pair potentials as realized in MgB 2 and iron pnictides. Although the order parameter symmetry is conventional, the band degree of freedom enriches the symmetry variety of pairing correlations. The hybridization and the asymmetry between the two conduction bands induce odd-frequency pairs as a subdominant pairing correlation in the uniform ground state. To study the magnetic response of odd-frequency Cooper pairs, we analyze the Meissner kernel represented by the Gor’kov Green function. In contrast to the even-frequency pairs linked to the pair potential, the induced odd-frequency Cooper pairs indicate a paramagnetic property. We also discuss the relation between the amplitude of the odd-frequency pairing correlation and the stability of superconducting states in terms of the self-consistent equation for the pair potential.
A Lower False Positive Pulmonary Nodule Detection Approach for Early Lung Cancer Screening

Pulmonary nodule detection with low-dose computed tomography (LDCT) is indispensable in early lung cancer screening. Although existing methods have achieved excellent detection sensitivity, nodule detection still faces challenges such as nodule size variation and uneven distribution, as well as excessive nodule-like false positive candidates in the detection results. We propose a novel two-stage nodule detection (TSND) method. In the first stage, a multi-scale feature detection network (MSFD-Net) is designed to generate nodule candidates. This includes a proposed feature extraction network to learn the multi-scale feature representation of candidates. In the second stage, a candidate scoring network (CS-Net) is built to estimate the score of candidate patches to realize false positive reduction (FPR). Finally, we develop an end-to-end nodule computer-aided detection (CAD) system based on the proposed TSND for LDCT scans. Experimental results on the LUNA16 dataset show that our proposed TSND obtained an excellent average sensitivity of 90.59% at seven predefined false positives (FPs) points: 0.125, 0.25, 0.5, 1, 2, 4, and 8 FPs per scan on the FROC curve introduced in LUNA16. Moreover, comparative experiments indicate that our CS-Net can effectively suppress false positives and improve the detection performance of TSND.
The galaxy-dark matter connection: A cosmological perspective

We have presented a method that uses observations of galaxies to simultaneously constrain cosmological parameters, and the galaxy-dark matter connection (aka halo occupation statistics). The latter describes how galaxies are distributed over dark matter haloes, and is an imprint of the poorly understood physics of galaxy formation. A generic problem of using galaxies to constrain cosmology is that galaxies are a biased tracer of the mass distribution, and this bias is generally unknown. The great advantage of simultaneously constraining cosmology and halo occupation statistics is that this effectively allows cosmological constraints marginalized over the uncertainties regarding galaxy bias. We have used a combination of the analytical halo model and the conditional luminosity function to describe the galaxy-dark matter connection, which we have used to model the abundance, clustering and galaxy-galaxy lensing properties of the galaxy population. We have used a Fisher matrix analysis to gauge the complementarity of these different observables, and presented some preliminary results from an analysis based on data from the Sloan Digital Sky Survey. Our results are complementary to and perfectly consistent with the results from the WMAP mission, strengthening the case for a true 'concordance' cosmology.
Modeling disorder in graphene

We present a study of different models of local disorder in graphene. Our focus is on the main effects that vacancies (random, compensated, and uncompensated), local impurities, and substitutional impurities bring into the electronic structure of graphene. By exploring these types of disorder and their connections, we show that they introduce dramatic changes in the low energy spectrum of graphene, viz., localized zero modes, strong resonances, gap and pseudogap behaviors, and nondispersive midgap zero modes.
Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms

As artificial intelligence continues to advance, deep learning has greatly contributed to the advancement of ship recognition using synthetic aperture radar (SAR) images. Deep learning-based SAR ship recognition performance is largely dependent on the sample set used. SAR ship recognition datasets published in recent years, however, are most derived from a single SAR satellite sensor. It needs to be evaluated and analyzed carefully whether the model trained by a single satellite dataset can still achieve the same accuracy with different SAR satellites. This article focuses on the following research to address these issues. First, using multiple SAR satellite sensors, we create a new SAR ship dataset (named generalization performance evaluation dataset, GPED) containing multiresolution and multipolarization data to examine the generalization performance of the deep learning-based SAR ship recognition method. GPED and a marine target detection dataset (MTDD) are then used to evaluate and analyze the generalization performance of current mainstream deep learning methods. According to the the experiment results, the mean average accuracy of the ship recognition model trained on GPED is generally higher than that of MTDD, which proves that the GPED has a better generalization performance. Furthermore, SAR ship detection datasets have more samples than ship recognition datasets, which inspired us to use transfer learning to transfer knowledge from ship detection to ship recognition. In this article, a method for ship recognition based on transfer learning that utilizes the knowledge gained from the ship detection task is proposed. The method includes two modules: 1) pretraining module and 2) fine-tuning module. It can apply samples of unlabeled ship types to ship recognition, thus reducing the number of labeled samples that are required for ship recognition. The experimental results on GPED and MTDD show that our method can achieve good recognition performances.
The Effect of Multi-Walled Carbon Nanotubes on the Heat-Release Properties of Elastic Nanocomposites

Of great importance in materials science is the design of effective functional materials that can be used in various technological fields. Nanomodified materials, which have fundamentally new properties and provide previously unrealized properties, have acquired particular importance. When creating heating elements and materials for deformation measurement, it is necessary to understand the patterns of heat release under conditions of mechanical deformation of the material, as this expands the potential applications of such materials. A study of elastomers modified with multi-walled carbon nanotubes (MWCNTs) has been carried at the MWCNTs concentration of 1–8 wt. %. The modes of heat release of nanomodified elastomers at a voltage of 50 V at different levels of tension are reported. The increment of the MWCNTs concentration to 7 wt. % leads to an increment in the power of heat emissions. It is worth noting the possibility of using the obtained elastomer samples with MNT as sensitive elements of strain sensors, which will allow obtaining information about physical and chemical parameters following the principles of measuring the change in electrical resistance that occurs during stretching and torsion. The changes in conductivity and heat emission under different conditions have been studied in parallel with Raman mapping and infrared thermography. The reported studies allow to make the next step to develop flexible functional materials for the field of electric heating and deformation measurement based on elastic matrices and nanoscale conductive fillers.