Miracle-dz/UniFAR-FTUs huggingface dataset:
Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification

Dialogue Act Classification (DAC) that determines the communicative intention of an utterance has been investigated widely over the years as a standalone task. But the emotional state of the speaker has a considerable effect on its pragmatic content. Sentiment as a human behavior is also closely related to emotion and one aids in the better understanding of the other. Thus, their role in identification of DAs needs to be explored. As a first step, we extend the newly released multi-modal EMOTyDA dataset to enclose sentiment tags for each utterance. In order to incorporate these multiple aspects, we propose a Dual Attention Mechanism (DAM) based multi-modal, multi-tasking conversational framework. The DAM module encompasses intra-modal and interactive inter-modal attentions with multiple loss optimization at various hierarchies to fuse multiple modalities efficiently and learn generalized features across all the tasks. Additionally, to counter the class-imbalance issue in dialogues, we introduce a 2-step Deferred Optimisation Schedule (DOS) that involves Meta-Net (MN) learning and deferred re-weighting where the former helps to learn an explicit weighting function from data automatically and the latter deploys a re-weighted multi-task loss with a smaller learning rate. Empirically, we establish that the joint optimisation of multi-modal DAC, SA and ER tasks along with the incorporation of 2-step DOS and MN learning produces better results compared to its different counterparts and outperforms state-of-the-art model.
ENTROPY PRODUCTION IN COLLISIONLESS SYSTEMS. III. RESULTS FROM SIMULATIONS

The equilibria formed by the self-gravitating, collisionless collapse of simple initial conditions have been investigated for decades. We present the results of our attempts to describe the equilibria formed in N-body simulations using thermodynamically motivated models. Previous work has suggested that it is possible to define distribution functions for such systems that describe maximum entropy states. These distribution functions are used to create radial density and velocity distributions for comparison to those from simulations. A wide variety of N-body code conditions are used to reduce the chance that results are biased by numerical issues. We find that a subset of initial conditions studied lead to equilibria that can be accurately described by these models, and that direct calculation of the entropy shows maximum values being achieved.
Evaluating Risk Governance Practice Against the Sendai Framework: The Case of Forest Fires in Sweden

Understanding the processes and institutions of ‘inclusive risk governance’ is cruci al for addressing disaster risks strategically and on a systemic level. The Priority for Action no.2 of the Sendai Framework for Disaster Risk Reduction aims to guide countries around the globe in increasing their capacity to reduce disaster risks by strengthening disaster risk governance. However, the imprecise requirements for its implementation set out in its text and the ambiguity of its language, leave considerable room for interpretation and make accountability for progress difficult. We, therefore, develop an analytical tool that disambiguates the text by increasing the sharpness of meaning of its conceptual components. Using this tool, we rigorously evaluate the extent to which the global ambition to foster risk governance has been achieved in the real-life practice of forest fire risk governance in Sweden - elicited in qualitative interviews from experts and practitioners. We find that the Swedish practice of forest fire risk governance is adopting new governance mechanisms such as creation and maintenance of semi-formal and informal coordination structures that enable cooperation, collaboration and partnerships that transcend territorial and administrative boundaries and foster the exchange of disaster-specific expertise and knowledge. Tensions and bottlenecks remain, however, in how the use of the available knowledge resources is approached. This is indicative of a lingering focus on response and recovery rather than on prevention and preparedness. The results of the study contribute to the global discourse of disaster risk reduction by introducing a new and systematic way of evaluating high-level policy objectives. A rigorous evaluation of the practice of forest fire risk governance in Sweden against Sendai Priority 2 contributes to a better understanding of the governance mechanisms in place in the practice in question. The experimental application of business motivation modelling to the governance practice opens a dialogue and new possibilities for application of this method outside of the business organisational context.
High cumulants of conserved charges and their statistical uncertainties

We study the influence of measured high cumulants of conserved charges on their associated statistical uncertainties in relativistic heavy-ion collisions. With a given number of events, the measured cumulants randomly fluctuate with an approximately normal distribution, while the estimated statistical uncertainties are found to be correlated with corresponding values of the obtained cumulants. Generally, with a given number of events, the larger the cumulants we measure, the larger the statistical uncertainties that are estimated. The error-weighted averaged cumulants are dependent on statistics. Despite this effect, however, it is found that the three sigma rule of thumb is still applicable when the statistics are above one million.
Reproducibility and monitoring of the instrumental particle background for the x-ray integral field unit

The X-ray Integral Field Unit (X-IFU) is the cryogenic imaging spectrometer on board the future X-ray observatory Athena. With a hexagonal array of 3840 AC-biased Transition Edge Sensors (TES), it will provide narrow-field observations (5’ equivalent diameter) with unprecedented high spectral resolution (2.5 eV up to 7 keV) over the 0.2 – 12 keV bandpass. Throughout its observations, the X-IFU will face various sources of X-ray background. Specifically, the so-called Non-X-ray Background (NXB) caused by the interaction of high-energy cosmic rays with the instrument, may lead to a degradation of its sensitivity in the observation of faint extended sources (e.g. galaxy clusters outskirts). To limit this effect, a cryogenic anti-coincidence detector (CryoAC) will be placed below the detector plane to lower the NXB level down to the required level of 5⊗10−3 cts/s/cm2/keV over 2 - 10 keV. In this contribution, we investigate ways to accurately monitor the NXB and ensure the highest reproducibility in-flight. Using the limiting science case of the background-dominated observation of galaxy clusters outskirts, we demonstrate that a reproducibility of 2% on the absolute knowledge of the background is required to perform driving science objectives, such as measuring abundances and turbulence in the outskirts. Monitoring of the NXB in-flight through closed observations, the detector’s CryoAC or the companion instrument (Wide Field Imager) will be used to meet this requirement.
Self-efficacy, professional ethics, and internal audit quality

This study aims to investigate the effects of self-efficacy and professional ethics on internal audit quality and the role of professional ethics in moderating the relationship between self-efficacy and internal audit quality. We use the purposive sampling method to generate the sample from the internal auditors of Bogor City, resulting in 38 final samples. The findings demonstrate that both self-efficacy and professional ethics significantly affect internal audit quality, and professional ethics fully moderate the relationship between self-efficacy and internal audit quality. Thus, our results imply that the Indonesian governments (both at central and local levels) need to enhance their internal auditors' self-efficacy and professional ethics to improve internal audit quality in the public sector.
A REVIEW ON DECENTRALIZATION IN HEALTHCARE SYSTEMS USING BLOCKCHAIN

: The exchange and use of healthcare data are controlled by hospitals and not patients. With features such as immutability, availability, confidentiality, unique identification, provenance and decentralized management, Blockchain can drive significant changes in existing data exchange and ownership models by shifting the system to a patient-centered model. The substantial increase in the adoption of sensors and IoT devices has allowed us to propose systems for monitoring health in real-time; moreover, the system would send an alert message to patients and concerned medical authorities if some anomaly is detected. In this study, we explore the benefits of blockchain in maintaining and sharing electronic health records (EHRs), seeking insurance, and securing the exchange of IoT data between patients and health facilities. Scalability is a fundamental issue of the blockchain. Hence, we also explore off-chain data stores for storing patient information and history, EHRs, and information related to insurance and insurance claims in this article. We also provide a comprehensive analysis of studies used to Analyse IoT data for heart attacks and to reduce the time it takes to diagnose.
Understanding reverberation lags in 1H0707-495

The first reverberation lag from the vicinity of a supermassive black hole was recently detected in the NLS1 galaxy 1H0707-495. We interpreted the lag as due to reflection from matter close to the black hole, within a few gravitational radii of the event horizon (an inner reflector). It has since been claimed by Miller et al. that the lag can be produced by more distant matter, at hundreds of gravitational radii (an outer reflector). Here, we critically explore their interpretation of the lag. The detailed energy dependence of the time lags between soft and hard energy bands is well modelled by an inner reflector using our previously published spectral model. A contrary claim by Miller et al. was obtained by not accounting for the blackbody component in the soft band. Soft lags can be produced by a large-scale outer reflector if several, implausible, conditions are met. An additional transfer function is required in the soft band corresponding to a region that is physically close to the continuum source, or lies close to our line of sight and subtends a small solid angle at the source, challenging the production of the observed spectrum. We show that the original inner reflector interpretation of reverberation very close to the black hole provides a self-consistent and robust model which explains the energy spectrum and timing properties, including the time delays, power spectra and the shape of the coherence function. Several of these properties are opposite to the predictions from a simple large-scale outer reflection model.
Optical-lattice-influenced geometry of quasi-two-dimensional binary condensates and quasiparticle spectra

We explore the collective excitations of optical lattices filled with two-species Bose-Einstein condensates (TBECs). We use a set of coupled discrete nonlinear Schr\"odinger equations to describe the system, and employ Hartree-Fock-Bogoliubov (HFB) theory with the Popov approximation to analyze the quasiparticle spectra at zero temperature. The ground state geometry, evolution of quasiparticle energies, structure of quasiparticle amplitudes, and dispersion relations are examined in detail. The trends observed are in stark contrast to the case of TBECs only with a harmonic confining potential. One key observation is the quasiparticle energies are softened as the system is tuned towards phase separation, but harden after phase separation and mode degeneracies are lifted.
Open Research Online IEA EBC Annex 57 ‘Evaluation of Embodied Energy and CO

of the methodological differences enabled the cases to be used to demonstrate a number of important strategies for the reduction of embodied impacts. Annex 57 has also produced clear recommendations for uniform deﬁnitions and templates which improve the description of system boundaries, completeness of inventory and quality of data, and consequently the transparency of embodied impact assessments.
Frequency dependence of p-mode frequency shifts induced by magnetic activity in Kepler solar-like stars

The variations of the frequencies of the low-degree acoustic oscillations in the Sun induced by magnetic activity show a dependence with radial order. The frequency shifts are observed to increase towards higher-order modes to reach a maximum of about 0.8 muHz over the 11-yr solar cycle. A comparable frequency dependence is also measured in two other main-sequence solar-like stars, the F-star HD49933, and the young 1-Gyr-old solar analog KIC10644253, although with different amplitudes of the shifts of about 2 muHz and 0.5 muHz respectively. Our objective here is to extend this analysis to stars with different masses, metallicities, and evolutionary stages. From an initial set of 87 Kepler solar-like oscillating stars with already known individual p-mode frequencies, we identify five stars showing frequency shifts that can be considered reliable using selection criteria based on Monte Carlo simulations and on the photospheric magnetic activity proxy Sph. The frequency dependence of the frequency shifts of four of these stars could be measured for the l=0 and l=1 modes individually. Given the quality of the data, the results could indicate that a different physical source of perturbation than in the Sun is dominating in this sample of solar-like stars.
Marketing and Consumer Behavior during and amidst the Overcoming of a Pandemic

8 INNOVAR VOL. 32, 86, OCTUBRE-DICIEMBRE DEL 2022 T he covid-19 pandemic has changed how enterprises and people behave, and the future effects of this change are yet to be seen. Several studies have shown how lockdown measures and individual and social reactions affect organizations (Leung et al., 2021; Rojas et al., 2020; Zwanka & Buff, 2020). However, further research on how the marketing areas of organizations may contribute to overcoming the pandemic’s devastating effects is required.
Non-Anogenital and Anogenital Injuries of Females Following Sexual Assault: A Retrospective, Descriptive Study from 5,464 Sexual Assault Forensic Medical Examination (SAFME) Reports

Non-Anogenital and Anogenital Injuries of Females Following Sexual Assault: A Retrospective, Descriptive Study from 5,464 Sexual Assault Forensic Medical Examination (SAFME) Reports Atalie M. Bradshaw College of Nursing, BYU Master of Science The focus of this retrospective, descriptive study is to describe non-anogenital and anogenital injuries documented in over 5,000 sexual assault forensic medical examination (SAFME) reports of female patients. The study findings expand understanding of injuries documented following sexual assault by exploring associations between injuries and a multitude of variables: patient demographics (age, race, gender); time between assault and examination; patient-perpetrator relationship; perpetrator actions (strangulation, hit, verbally threatened/coerced, use of restraints, grabbed/held); number of assaultive acts; multipleperpetrators; suspected drug-facilitated assaults; patient and perpetrator use of alcohol and drugs; and physically or mentally impaired patients. The various types and locations of injuries are discussed in relationship to assault history. Implications of findings on forensic nursing practice are shared to improve patient assessment and care. In addition, methods to share findings with interdisciplinary partners, including law enforcement and criminal justice system professionals, are described to improve interdisciplinary collaboration and education.
Polymorphisms, Haplotype Variability and Neutrality Test of Bronze Locus in Turkey ( Meleagris gallopavo )

Summary The bronze locus, identified as melanocortin-1 receptor ( MC1R ) gene, is involved in body coloration. We examined polymorphisms, haplotype variability and deviation from neutrality of bronze locus in Nigerian Indigenous Turkeys (NIT) using British United Turkeys (BUT) as control breed. Single-exon coding region of MC1R was sequenced. Polymorphisms were identified using MEGA v6 and CodonCode Aligner. In silico prediction of the functional effects of amino acid substitutions was done using SNAP2. Haplotypes were reconstructed using DnaSp v5. Eight polymorphisms were identified in MC1R gene of the birds with two novel polymorphisms: c.37C>A (neutral effect) and c.866T>G (gain-of-function) in NIT and BUT, respectively. Mutations c.450C>T and c.866T>G were unique to lavender NIT while c.186C>G was present in all birds. Two polymorphisms, c.866T>G and c.887C>T, were predicted to have functional effects. The highest genetic diversity was observed in lavender NIT while the least was observed in BUT. Fifteen (15) haplotypes were reconstructed, with MC1R BUT1 and MC1R BUT2 unique to BUT. Haplotype MC1R *4 was absent in all the birds used in this study while MC1R *5 was present in all NIT. Our study confirmed that MC1R *2 carried black (B) allele. Two novel haplotypes ( MC1R Nig1 and MC1R Nig2) identified in this study also carried B allele. MC1R Nig6, MC1R Nig7 and MC1R Nig8 were found to be unique to lavender. The novel polymorphisms and haplotypes identified in NIT and BUT could be used in differentiating them from other turkey breeds with the same plumage colours. Also, various polymorphisms and haplotypes identified in bronze locus of turkey are useful in breeding programmes aimed at developing or conserving different plumage colour types.
Unidentified emission features in the R Coronae Borealis star V854 Centauri

During its 2012 decline, the R Coronae Borealis star (RCB) V854 Cen was spectroscopically monitored with X-shooter on the ESO Very Large Telescope. The obscured optical and near-infrared spectrum exhibits many narrow and several broad emission features, as previously observed. The envelope is spatially resolved along the slit and allows for a detailed study of the circumstellar material. In this Letter, we report on the properties of a number of unidentified visual emission features (UFs), including the detection of a new feature at 8692 Å. These UFs have been observed in the Red Rectangle (RR), but their chemical and physical nature is still a mystery. The previously known UFs behave similarly in the RR and in V854 Cen, but are not detected in six other observed RCBs. Some hydrogen might be required for the formation of their carrier(s). The λ8692 UF is present in all RCBs. Its carrier is likely of a carbonaceous molecular nature, presumably different from that of the other UFs.
Quantum correlations in optomechanical crystals

The field of optomechanics provides us with several examples of quantum photon-phonon interface. In this paper, we theoretically investigate the generation and manipulation of quantum correlations in a microfabricated optomechanical array. We consider a system consisting of localized photonic and phononic modes interacting locally via radiation pressure at each lattice site with the possibility of hopping of photons and phonons between neighboring sites. We show that such an interaction can correlate various modes of a driven coupled optomechanical array with well-chosen system parameters. Moreover, in the linearized regime of Gaussian fluctuations, the quantum correlations not only survive in the presence of thermal noise, but may also be generated thermally. We find that these optomechanical arrays provide a suitable platform for quantum simulation of various many-body systems.
TRANSVERSE OSCILLATIONS OF LOOPS WITH CORONAL RAIN OBSERVED BY HINODE/SOLAR OPTICAL TELESCOPE

The condensations composing coronal rain, falling down along loop-like structures observed in cool chromospheric lines such as Hα and Ca ii H, have long been a spectacular phenomenon of the solar corona. However, considered a peculiar sporadic phenomenon, it has not received much attention. This picture is rapidly changing due to recent high-resolution observations with instruments such as the Hinode/Solar Optical Telescope (SOT), CRISP of the Swedish 1-m Solar Telescope, and the Solar Dynamics Observatory. Furthermore, numerical simulations have shown that coronal rain is the loss of thermal equilibrium of loops linked to footpoint heating. This result has highlighted the importance that coronal rain can play in the field of coronal heating. In this work, we further stress the importance of coronal rain by showing the role it can play in the understanding of the coronal magnetic field topology. We analyze Hinode/SOT observations in the Ca ii H line of a loop in which coronal rain puts in evidence in-phase transverse oscillations of multiple strand-like structures. The periods, amplitudes, transverse velocities, and phase velocities are calculated, allowing an estimation of the energy flux of the wave and the coronal magnetic field inside the loop through means of coronal seismology. We discuss the possible interpretations of the wave as either standing or propagating torsional Alfvén or fast kink waves. An estimate of the plasma beta parameter of the condensations indicates a condition that may allow the often observed separation and elongation processes of the condensations. We also show that the wave pressure from the transverse wave can be responsible for the observed low downward acceleration of coronal rain.
How Has Monetary and Regulatory Policy Affected Trading Relationships in the U.S. Repo Market?

We analyze the effects of changes in monetary and regulatory policy on trading dynamics in the U.S. triparty repo market. Using a confidential data set of transactions, we find that the Fed’s reverse repo (RRP) facility led to a 16 percent reduction in cash lending by money market mutual funds (MMFs) eligible to transact with the Fed. We show that the RRP facility increased the bargaining power of MMFs on days when their borrowers, non-U.S. dealers, increased their window-dressing activity due to Basel III capital reforms. For those dealers reliant on eligible MMF funding, window dressing became more expensive, but the average rates they paid on other days remained stable because of anchoring by the facility. We also show that the RRP facility influenced the way MMFs managed their balance sheets, and directed them towards safer investments.
Analyzing Academic Discourse Evolution on Consumer Behavior and covid-19 Using Topic Modeling

The covid-19 pandemic brought changes in consumers’ habits derived from initial confinement in the first year and a second year characterized by an attempt to return to activities under the “new normal” label. Several literature reviews that summarize existing research on consumer behavior and the pandemic have recently emerged. Many of them have a regional or country-specific focus. Others emphasize certain factors under study at the beginning of the pandemic. This study, in contrast, separates the most salient topics found in literature in 2020 from those found in 2021 using a global Scopus database showing the evolution of the academic discourse on consumer behavior as the pandemic developed. Interestingly, some differences show consumers’ evolution throughout the pandemic, seen through the eyes of researchers. Topic modeling highlights the main topics under study in both years. Results show the relevance of four major topics that differ from one year to another. Research on online consumption, however, remains equally important in both years. We propose a theoretical model of consumer behavior research that aims to help consumers understand themselves, managers address strategies accordingly, and policymakers regulate the major issues brought by the pandemic. © 2022, Universidad Nacional de Colombia. All rights reserved.