Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing

By deploying computing, storage, and bandwidth resources at the user side, vehicular edge computing (VEC) provides low-delay services for vehicle users. However, due to the limited resources of edge servers, how to efficiently meet the Quality-of-Service (QoS) requirements of multiple tasks and save the total energy consumption in a dynamic environment is an important issue in VEC. In this article, we first propose an energy consumption and QoS-aware co-offloading model. Unlike most previous studies, our goal is to minimize the total energy consumption while guaranteeing the QoS constraints of tasks, thus avoiding the overallocation of resources and high energy consumption caused by the one-sided pursuit of delay minimization. Then, without the requirements for domain experts, we propose Bayesian optimization-based computation offloading (BOCO) method to find the optimal offloading decision. To the best of our knowledge, this work is the first to apply Bayesian optimization to computation offloading in VEC. Furthermore, we conduct a series of experiments and comparisons with other offloading methods to analyze the effectiveness and performance of the proposed algorithm. Experimental results verify that our proposed BOCO outperforms counterparts.
Photoacoustic discrimination of blood based on BP-PSO algorithm combined with improved dynamic inertia weight strategy function

In this work, we used photoacoustic spectroscopy to distinguish the different types of blood including four kinds of true blood and two kinds of fake blood. The peak-to-peak spectra of blood were obtained in the wavelength from 700nm to 1064nm based on the established photoacoustic detection system of blood. To accurately discriminate the different types of blood, back propagation (BP) neural network was used to train the photoacoustic peak-to-peak spectra of training blood with 120 groups, the correct rate of distinguishing blood is 76.7% for 30 groups of test samples. Particle swarm optimization (PSO) algorithm was used to optimize the parameters of BP network. The effects of neurons number in the hidden layer, learning rate factor, inertia weight, two acceleration factors, iteration times and training times on the corret rate and mean square error were all investigated. Under the optimal parameters, the correct rate of BP-PSO algorithm was increased to 93.3%. To further improve the correct rate, the dynamic inertia weight strategy was used. Moreover, a kind of improved dynamic inertia weight strategy function was proposed. The correct rate of the improved dynamic inertia weight strategy function was compared with that of the static inertia weight and two other dynamic inertia weight strategy functions. Under the optimal value of the improved dynamic inertia weight, the correct rate reached 96.7%. Therefore, the BP-PSO algorithm combined with the improved dynamic inertia weight strategy function has a potential value in the photoacoustic discrimination of blood.
Issues and challenges for women in creating spaces at decision-making levels: A case study of Pakistan Muslim league-N

In many Western and Asian countries, women’s empowerment has increased significantly, yet women are still underrepresented in political participation and political decision-making. This study explores the political engagement of women in a society that discriminates against them on the basis of their sex, and in a political system that is heavily patriarchal. The study is aimed at exploring the issues and challenges that women confront in political participation and decision-making in the party political space. To achieve this goal, a qualitative approach has been adopted, in which data has been collected and processed in a qualitative manner. This research conducts a case study of Pakistan Muslim League (N) which served as a sample for data collection. Thematic analysis has been used to decipher the comments of important stakeholders interviewed for qualitative data, as described by Braun and Clarke. Although literature has studied the complex of multiple interlinked causes for women’s insufficient and ineffective political participation, this article presents a novel way to explore those issues and a thematic way to understand their complexity. However, the study's findings indicate that women's political engagement and decision-making are hampered for a variety of reasons. A male-dominated culture, lack of social acceptance, structural halts, gender-imbalanced political parties, societal vulnerability threats and an inability to empower women are a few of the main concerns. Numerous specific problems have been identified as well, such as the persistence of historical patterns and the opportunity gap as well as psychological satisfaction and religious excuses for the lack of political participation and the vulnerability of being scandalized, weak economic status and gender sensitivity in the workplace. In Pakistani society, these highlighted variables are so firmly ingrained in the political and social structure that they are mostly taken for granted and go unnoticed.
Three-dimensional theory for interaction between atomic ensembles and free-space light

Atomic ensembles have shown to be a promising candidate for implementations of quantum information processing by many recently discovered schemes. All these schemes are based on the interaction between optical beams and atomic ensembles. For description of these interactions, one assumed either a cavity-QED model or a one-dimensional light propagation model, which is still inadequate for a full prediction and understanding of most of the current experimental efforts that are actually taken in the three-dimensional free space. Here, we propose a perturbative theory to describe the three-dimensional effects in interaction between atomic ensembles and free-space light with a level configuration important for several applications. The calculations reveal some significant effects that were not known before from the other approaches, such as the inherent mode-mismatching noise and the optimal mode-matching conditions. The three-dimensional theory confirms the collective enhancement of the signal-to-noise ratio which is believed to be one of the main advantages of the ensemble-based quantum information processing schemes, however, it also shows that this enhancement needs to be understood in a more subtle way with an appropriate mode-matching method.
A cautionary tale of interpreting O-C diagrams: period instability in a classical RR Lyr Star Z CVn mimicking as a distant companion

We present a comprehensive study of Z CVn, an RR Lyrae star that shows long-term cyclic variations of its pulsation period. A possible explanation suggested from the shape of the O-C diagram is the light travel-time effect, which we thoroughly examine. We used original photometric and spectroscopic measurements and investigated the period evolution using available maximum times spanning more than one century. If the binary hypothesis is valid, Z CVn orbits around a black hole with minimal mass of $56.5$ $\mathfrak{M}_{\odot}$ on a very wide ($P_{\rm orbit}=78.3$ years) and eccentric orbit ($e=0.63$). We discuss the probability of a formation of a black hole-RR Lyrae pair and, although we found it possible, there is no observational evidence of the black hole in the direction to Z CVn. However, the main objection against the binary hypothesis is the comparison of the systemic radial velocity curve model and spectroscopic observations that clearly show that Z CVn cannot be bound in such a binary. Therefore, the variations of pulsation period are likely intrinsic to the star. This finding represents a discovery/confirmation of a new type of cyclic period changes in RR Lyrae stars. By the analysis of our photometric data, we found that the Blazhko modulation with period of 22.931 d is strongly dominant in amplitude. The strength of the phase modulation varies and is currently almost undetectable. We also estimated photometric physical parameters of Z CVn and investigated their variations during the Blazhko cycle using the Inverse Baade-Wesselink method.
Using Market News Sentiment Analysis for Stock Market Prediction

(1) Background: Since the current crises that has inevitably impacted the financial market, market prediction has become more crucial than ever. The question of how risk managers can more accurately predict the evolution of their portfolio, while taking into consideration systemic risks brought on by a systemic crisis, is raised by the low rate of success of portfolio risk-management models. Sentiment analysis on natural language sentences can increase the accuracy of market prediction because financial markets are influenced by investor sentiments. Many investors also base their decisions on information taken from newspapers or on their instincts. (2) Methods: In this paper, we aim to highlight how sentiment analysis can improve the accuracy of regression models when predicting the evolution of the opening prices of some selected stocks. We aim to accomplish this by comparing the results and accuracy of two cases of market prediction using regression models with and without market news sentiment analysis. (3) Results: It is shown that the nonlinear autoregression model improves its goodness of fit when sentiment analysis is used as an exogenous factor. Furthermore, the results show that the polynomial autoregressions fit better than the linear ones. (4) Conclusions: Using the sentiment score for market modelling, significant improvements in the performance of linear autoregressions are showcased.
Manajemen Hubungan Pelanggan Bagi Usaha Mikro, Kecil, dan Menengah

The need for Micro, Small, and Medium Enterprises (MSMEs) to connect with customers is increasing. Understanding customer behavior is necessary for running a business, especially during a pandemic. Customer Relationship Management (CRM) helps MSMEs to manage this connection. However, in its implementation, MSMEs experience obstacles such as not understanding the CRM concept, the absence of a strong leader
Right Posterior Temporal Cortex Supports Integration of Phonetic and Talker Information

Abstract Though the right hemisphere has been implicated in talker processing, it is thought to play a minimal role in phonetic processing, at least relative to the left hemisphere. Recent evidence suggests that the right posterior temporal cortex may support learning of phonetic variation associated with a specific talker. In the current study, listeners heard a male talker and a female talker, one of whom produced an ambiguous fricative in /s/-biased lexical contexts (e.g., epi? ode) and one who produced it in /∫/-biased contexts (e.g., friend? ip). Listeners in a behavioral experiment (Experiment 1) showed evidence of lexically guided perceptual learning, categorizing ambiguous fricatives in line with their previous experience. Listeners in an fMRI experiment (Experiment 2) showed differential phonetic categorization as a function of talker, allowing for an investigation of the neural basis of talker-specific phonetic processing, though they did not exhibit perceptual learning (likely due to characteristics of our in-scanner headphones). Searchlight analyses revealed that the patterns of activation in the right superior temporal sulcus (STS) contained information about who was talking and what phoneme they produced. We take this as evidence that talker information and phonetic information are integrated in the right STS. Functional connectivity analyses suggested that the process of conditioning phonetic identity on talker information depends on the coordinated activity of a left-lateralized phonetic processing system and a right-lateralized talker processing system. Overall, these results clarify the mechanisms through which the right hemisphere supports talker-specific phonetic processing.
Technological Solutions for Social Isolation Monitoring of the Elderly: A Survey of Selected Projects from Academia and Industry

Social isolation is likely to be one of the most serious health outcomes for the elderly due to the COVID-19 pandemic, especially for seniors living alone at home. In fact, two approaches have been used to assess social isolation. The first is a self-reported survey designed for research purposes. The second approach is the use of monitoring technology. The objective of this paper is to provide some illustrative publications, works and examples of the current status and future prospects in the field of monitoring systems that focused on two main activities of daily living: meal-taking activity (shopping, cooking, eating and washing dishes) and mobility (inside the home and the act of going out). These two activities combined seem relevant to a potential risk of social isolation in the elderly. Although current research focuses on identifying only ADLs, we propose to use them as a first step to extract daily habits and risk level of social isolation. Moreover, since activity recognition is a recent field, we raise specific problems as well as needed contributions and we propose directions and research opportunities to accelerate advances in this field.
Research on 3D reconstruction method of heterogeneous workpieces based on line laser scanning

In view of the large variation of surface curvature of heterogeneous workpieces and the large individual differences of casting blanks, there will be empty stroke and excessive removal when using robots to process according to the manual teaching path, a method combining robot motion and line laser scanning is proposed to obtain the complex 3D morphology of heterogeneous workpieces, which provides the basic conditions for the research of robot self-adaptive grinding. The robot grabs the line laser calibrated by the hand and eye to scan the heterogeneous workpieces, obtains the 3D point cloud data of the workpiece from different perspectives, filters and simplifies the point cloud, then splices the point cloud image with the coarse registration based on FPFH algorithm and the precise registration based on ICP algorithm, and finally completes the 3D reconstruction of the workpiece surface. The reconstructed model is measured experimentally and compared with the actual size of the workpiece, the size deviation of the model is less than 0.1mm, which shows that this method has high reduction accuracy.
Infrared Thermography of Complex 3D Printed Components.

The possibility of using Infrared Lock-In Thermography (LIT) to estimate the thickness of a sample was assessed and shown to be accurate up to 1.8mm. LIT is a technique involving heating samples with halogen lamps with varying intensity over time. The intensity is defined by sinusoidal functions. LIT was conducted on samples of varying thickness, gradient, and shape. The Lock-In phase signals were calculated, and a database was then created with the data obtained and was used to estimate the thickness based on the original phase signal. A relationship between gradient and phase signal was also shown based on our data, contrary to current findings in existing literature.
Toward a global description of nuclear charge radii: Exploring the Fayans energy density functional

In this work, we study the odd-even effect in binding energies and charge radii, and systematic behavior of differential radii, to identify the underlying components of the effective nuclear interaction. We apply nuclear density functional theory using a family of Fayans and Skyrme energy density functionals fitted to similar datasets but using different optimization protocols. We inspect various correlations between differential charge radii, odd-even staggering in energies and radii, and nuclear matter properties. Detailed analysis is carried out for medium-mass and heavy semi-magic nuclei with a particular focus on the Ca chain. By making the surface and pairing terms dependent on density gradients, the Fayans functional offers the superb simultaneous description of odd-even staggering effects in energies and charge radii. Conversely, when the data on differential radii are added to the pool of fit-observables, the coupling constants determining the strengths of the gradient terms of Fayans functional are increased by orders of magnitude. The Skyrme functional optimized in this work with the generalized Fayans pairing term offers results of similar quality. We quantify these findings by performing correlation analysis based on the statistical linear regression technique. The nuclear matter parameters characterizing Fayans and Skyrme functionals optimized to similar datasets are fairly close.
Gravitational entropy and the cosmological no-hair conjecture

The gravitational entropy and no-hair conjectures seems to predict contradictory future states of our Universe. The growth of the gravitational entropy is associated with the growth of inhomogeneity, while the no-hair conjecture argues that a universe dominated by dark energy should asymptotically approach a homogeneous and isotropic de Sitter state. The aim of this paper is to study these two conjectures. The investigation is based on the Simsilun simulation, which simulates the universe using the approximation of the Silent Universe. The Silent Universe is a solution to the Einstein equations that assumes irrotational, non-viscous, and insulated dust, with vanishing magnetic part of the Weyl curvature. The initial conditions for the Simsilun simulation are sourced from the Millennium simulation, which results with a realistically appearing but relativistic at origin simulation of a universe. The Simsilun simulation is evolved from the early universe (t = 25 Myr) till far future (t = 1000 Gyr). The results of this investigation show that both conjectures are correct. On global scales, a universe with a positive cosmological constant and non-positive spatial curvature does indeed approach the de Sitter state. At the same time it keeps generating the gravitational entropy.
Radiative transfer of hydrogen lines from supernova remnant shock waves: contributions of 2s-state hydrogen atoms

Radiative transfer in hydrogen lines in supernova remnant (SNR) shock waves is studied taking into account the population of the hydrogen atom 2s-state. Measurements of Balmer line emission, especially of H α, are often relied on to derive physical conditions in the SNR shock. On the other hand, Lyman series photons, especially Ly β, are mostly absorbed by upstream hydrogen atoms. As a result, atoms are excited to the 3p state, and then emit H α by the spontaneous transition from 3p to 2s. Thus, the nature of H α depends on how many Ly β photons are converted to H α photons. Moreover, the Balmer lines can be scattered by the 2s-state hydrogen atoms, which are excited not only by collisional excitation but also by the Lyman–Balmer conversion. It is shown for example that the H α photons are scattered if the shock propagates into an H i cloud with a density of ∼30 cm−3 and a size of ∼1 pc. We find that the line profile of H α becomes asymmetric resulting from the difference between line centre frequencies among the transitions from 3s to 2p, from 3p to 2s, and from 3d to 2p. We also find that the broad-to-narrow ratio of H α, which is often used to estimate the ion-electron temperature equilibrium, varies at most ≃ 10 per cent depending on the ionization degree of the upstream medium because of incomplete conversion of Lyman lines to Balmer lines.
Cluster states from Heisenberg interactions

We show that a special type of entangled states, cluster states, can be created with Heisenberg interactions and local rotations in 2d steps where d is the dimension of the lattice. We find that, by tuning the coupling strengths, anisotropic exchange interactions can also be employed to create cluster states. Finally, we propose electron spins in quantum dots as a possible realization of a one-way quantum computer based on cluster states.
Three-Phase Synergetically Controlled Current DC-Link AC/DC Buck–Boost Converter With Two Independently Regulated DC Outputs

A three-phase current DC-link AC/DC buck–boost converter, composed of a three-phase current-source rectifier (CSR) front-end and a three-level DC/DC-stage, can provide two independently regulated DC outputs. A conventional synergetic control strategy, which coordinates the modulation of the CSR and the DC/DC converter stage to achieve minimum overall switching losses, is extended to the case of two independent DC outputs, retaining all advantageous features, such as seamless transitions between operating modes and modulation schemes. The extended synergetic control strategy allows loss-optimum operation [i.e., reduced number of switching instants due to clamping of a phase of the CSR-stage (switching only two out of the three phases, i.e., 2/3-PWM) or individual clamping of the DC/DC-stage's two half-bridges and minimum possible DC-link current] for any operating point, especially also for two <italic>different</italic> output voltages and/or two <italic>different</italic> loads. Finally, experimental confirmation of the proposed control scheme using a 10 kW demonstrator system is provided. Operating in the boost-mode at a total output voltage of 800 V, the proposed synergetic control achieves a significant measured efficiency improvement over a wide load range, e.g., from <inline-formula><tex-math notation="LaTeX">$95.7 \,\%$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$96.9 \,\%$</tex-math></inline-formula> (<inline-formula><tex-math notation="LaTeX">$1.2 \,\%$</tex-math></inline-formula>) at 2 kW and from <inline-formula><tex-math notation="LaTeX">$97.9 \,\%$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$98.4 \,\%$</tex-math></inline-formula> (<inline-formula><tex-math notation="LaTeX">$0.5 \,\%$</tex-math></inline-formula>) at 10 kW, which is largely independent of output voltage asymmetries and load asymmetries.
Leeuwin Current dynamics over the last 60 kyr – relation to Australian ecosystem and Southern Ocean change

Abstract. The Leeuwin Current, flowing southward along the western coast of Australia, is an important conduit for the poleward heat transport and inter-ocean water exchange between the tropical and the subantarctic ocean areas. Its past development and its relationship to Southern Ocean change and Australian ecosystem response is, however, largely unknown. Here we reconstruct sea surface and thermocline temperatures and salinities from foraminiferal-based Mg/Ca and stable oxygen isotopes from areas offshore of southwestern and southeastern Australia, reflecting the Leeuwin Current dynamics over the last 60 kyr. Their variability resembles the biomass burning development in Australasia from ∼60–20 ka BP, implying that climate-modulated changes related to the Leeuwin Current most likely affected Australian vegetational and fire regimes. Particularly during ∼60–43 ka BP, the warmest thermocline temperatures point to a strongly developed Leeuwin Current during Antarctic cool periods when the Antarctic Circumpolar Current (ACC) weakened. The pronounced centennial-scale variations in Leeuwin Current strength appear to be in line with the migrations of the Southern Hemisphere frontal system and are captured by prominent changes in the Australian megafauna biomass. We argue that the concerted action of a rapidly changing Leeuwin Current, the ecosystem response in Australia, and human interference since ∼50 BP enhanced the ecological stress on the Australian megafauna until its extinction at ∼43 ka BP. While being weakest during the Last Glacial Maximum (LGM), the deglacial Leeuwin Current intensified at times of poleward migrations of the Subtropical Front (STF). During the Holocene, the thermocline off southern Australia was considerably shallower compared to the short-term glacial and deglacial periods of Leeuwin Current intensification.