Miracle-dz/UniFAR-FTUs huggingface dataset:
More Than Oneself: Cultural Values as Predictors of Happiness

The present study analyzed whether cultural values, such as individualism, foster lesser or greater degrees of happiness and to what degree the Gross Domestic Product (GDP) per capita moderated such interaction. Data were compared across 82 nations according to their World Happiness Report scores, GDP per capita, and Hofstede dimensional scores. It was hypothesized (1) that high levels of national individualism would be positively correlated to happiness at a national level, (2) that other cultural dimensions would be relevant in predicting national happiness, (3) and that the association between happiness and cultural factors would be moderated by GDP per capita. Results indicated that individualism is correlated with higher happiness. Additional quantitative analyses showed that happiness was predicted by individualism, indulgence, long- term orientation, and power distance. Implications of these findings and future research directions are outlined.
BLACK HOLES AT THE CENTERS OF NEARBY DWARF GALAXIES

Using a distance-limited portion of the Sloan Digital Sky Survey (SDSS) Data Release 7, we have identified 28 active galactic nuclei (AGNs) in nearby ( d ≤ 80 ? > Mpc) low-mass, low-luminosity dwarf galaxies. The accreting objects at the galaxy centers are expected to be intermediate-mass black holes (IMBHs) with M BH ≤ 10 6 ? > M ⊙ ? > . The AGNs were selected using several optical emission-line diagnostics after careful modeling of the continuum present in the spectra. We have limited our survey to objects with spectral characteristics similar to those of Seyfert nuclei, excluding emission-line galaxies with ambiguous spectra that could be powered by stellar processes. Thus, as a set, the host galaxies in our sample are the least massive objects in the very local universe certain to contain central black holes. Our sample is dominated by narrow-line (type 2) AGNs, and it appears to have a much lower fraction of broad-line objects than that observed for luminous, optically selected Seyfert galaxies. Given our focus on the nearest objects included in the SDSS, our survey is more sensitive to low-luminosity emission than previous optical searches for AGNs in low-mass galaxies. The [O iii] λ 5007 ? > luminosities of the Seyfert nuclei in our sample have a median value of L 5007 = 2 × 10 5 ? > L ⊙ ? > and extend down to ∼ 10 4 ? > L ⊙ ? > . Using published data for broad-line IMBH candidates, we have derived an [O iii] bolometric correction of log ( L bol / L 5007 ) = 3.0 ± 0.3 ? > , which is significantly lower than values obtained for high-luminosity AGNs. Applying this correction to our sample, we obtain minimum black hole mass estimates that fall mainly in the 103 M ⊙ ? > –104 M ⊙ ? > range, which is roughly where the predicted mass functions for different black hole seed formation scenarios overlap the most. In the stellar mass range that includes the bulk of the AGN host galaxies in our sample, we derive a lower limit on the AGN fraction of a few percent, indicating that active nuclei in dwarf galaxies are not as rare as previously thought.
Millimeter-sized grains in the protostellar envelopes: where do they come from?

Grain growth during star formation affects the physical and chemical processes in the evolution of star-forming clouds. We investigate the origin of the millimeter (mm)-sized grains recently observed in Class I protostellar envelopes. We use the coagulation model developed in our previous paper and find that a hydrogen number density of as high as $10^{10}~{\rm cm^{-3}}$, instead of the typical density $10^5~{\rm cm^{-3}}$, is necessary for the formation of mm-sized grains. Thus, we test a hypothesis that such large grains are transported to the envelope from the inner, denser parts, finding that gas drag by outflow efficiently "launches" the large grains as long as the central object has not grown to $\gtrsim 0.1$ M$_{\odot}$. By investigating the shattering effect on the mm-sized grains, we ensure that the large grains are not significantly fragmented after being injected in the envelope. We conclude that the mm-sized grains observed in the protostellar envelopes are not formed in the envelopes but formed in the inner parts of the star-forming regions and transported to the envelopes before a significant mass growth of the central object, and that they survive in the envelopes.
The D-BEST Based digital innovation hub customer journey analysis method: Configuring DIHs unique value proposition

Digital Innovation Hubs (DIHs) are ecosystems bolstering European companies to overtake innovation hindrances and drive Europe to become the world leading innovator in the industry digital revolution. Each of such organizations can provide a certain list of services, that can be classified and grouped in five macro-classes according to the Data-driven Business-Ecosystem-Skills-Technology (D-BEST) reference model, able to decode DIHs’ service portfolio and to shape collaborative networks in the Industry 4.0 age. However, to support an easier codification of DIH support actions, which also directly entails the engagement of enterprises in the DIH ecosystems, a method able to analyze typical Customer Journeys (CJs) is needed. Therefore, this paper proposes the D-BEST based DIH CJ analysis method, able to configure DIHs’ unique value proposition, mapping on the five macro-classes of services of the D-BEST the digital transformation processes of the two main categories of DIH customers (technology end-users and technology providers). The method analyses the service provision process of single DIHs, evidencing their strengths and weaknesses, and is also effective in suggesting possible collaborations and joint service provision in a network of multiple DIHs, being able to unveil the commonalities and complementarities among the different journeys.
Speed Profile Generation Strategy for Efficient Merging of Automated Vehicles on Roundabouts With Realistic Traffic

The capabilities of automated vehicles have increased over the last years, and different driving strategies have shown promising results on a variety of scenarios. However, there are still many challenges to be solved, and handling crowded roundabouts is one of them. This kind of scenario requires both safe and efficient maneuvers from the autonomous driving systems in order to maintain a proper traffic flow. This work presents a strategy to generate different speed profiles for a set of path candidates in order to obtain a merging maneuver according to current traffic scene. The proposed mechanism relies on the use of fictitious accelerations generated by leader and lag vehicles, incorporating by design comfort and safety bounds. The autonomous driving system proposed in this work was tested on realistic driving scenarios collected from public datasets and its performance was compared to human drivers on the same scenarios. The results showed in a variety of situations that the automated vehicle was capable of merging into roundabouts with tight merging gaps while maintaining both comfort and safety constraints.
The Effects of a Computer-Based Early Reading Program on the Literacy Skills of Kindergarten Students

Abstract This research examines the effects of a computer reading program as a supplement to classroom instruction for Kindergarten students across Study 1 and Study 2 (N = 55 and 88, respectively). Students attended schools in suburban settings and all students received their typical balanced literacy programming. Students in the treatment condition used the Ooka Island computer program (Scholastic F.I.R.S.T.TM, 2017) as a supplement to classroom instruction. The computer program targets phonological awareness, word reading, and reading comprehension. Across both studies, students in the treatment group (n = 26 and 49 for Study 1 and 2, respectively) had better outcomes for phonological blending, word reading, reading comprehension, and book-reading levels than the business-as-usual control group (n = 29 and 39). There were no group differences for phonological segmentation. The findings demonstrate that early-reading computer programs, such as Ooka Island, have the potential to supplement classroom instruction toward building foundational reading skills.
Quasinormal frequencies and thermodynamic quantities for the Lifshitz black holes

We find the connection between thermodynamic quantities and quasinormal frequencies in Lifshitz black holes. It is shown that the globally stable Lifshitz black holes have pure imaginary quasinormal frequencies. We also show that by employing the Maggiore's method, both the horizon area and the entropy can be quantized for these black holes.
Real-Time and Accurate Gesture Recognition With Commercial RFID Devices

Gesture recognition based on radio frequency identification (RFID) has attracted much research attention in recent years. Most existing RFID-based gesture recognition approaches use signal profile matching to distinguish different gestures, which incur large recognition latency and fail to support real-time applications. In this article, we design and implement ReActor, a real-time and accurate gesture recognition system that recognizes a user's gestures with low latency and high accuracy even when the gestures’speed varies. ReActor combines the time-domain statistical features and the frequency-domain features to precisely represent the signal profile corresponding to different gestures. To maintain high accuracy across different environments, we preprocess the signals to remove reflection signals from surrounding objects and use only the signals related to gestures to train the classifier. Moreover, we train a classifier to predict the speed of the gesture and feed the extracted features to different classifiers according to the speed. We implement ReActor and evaluate its performance in different scenarios. Experimental results show that ReActor achieves an average accuracy of 97.2% in recognizing 18 different gestures with an average latency of 72 ms, more than two orders of magnitude faster than approaches based on profile template matching.
Holographic zero sound at finite temperature

We use gauge-gravity duality to study the temperature dependence of the zero sound mode and the fundamental matter diffusion mode in the strongly coupled {\cal N}=4 SU(N_c) supersymmetric Yang-Mills theory with N_f {\cal N}=2 hypermultiplets in the N_c>>1, N_c>>N_f limit, which is holographically realized via the D3/D7 brane system. In the high density limit \mu>>T, three regimes can be identified in the behavior of these modes, analogous to the collisionless quantum, collisionless thermal and hydrodynamic regimes of a Landau Fermi-liquid. The transitions between the three regimes are characterized by the parameters T/\mu and (T/\mu)^2 respectively, and in each of these regimes the modes have a distinctively different temperature and momentum dependence. The collisionless-hydrodynamic transition occurs when the zero sound poles of the density-density correlator in the complex frequency plane collide on the imaginary axis to produce a hydrodynamic diffusion pole. We observe that the properties characteristic of a Landau Fermi-liquid zero sound mode are present in the D3/D7 system despite the atypical T^6/\mu^3 temperature scaling of the specific heat and an apparent lack of a directly identifiable Fermi surface.
Modified Jordan-Brans-Dicke theory with scalar current and the Eddington-Robertson $\gamma$-parameter

The Jordan–Brans–Dicke theory of gravitation, which promotes the gravitational constant to a dynamical scalar field, predicts a value for the Eddington–Robertson post-Newtonian parameter γ that is significantly different from the general relativistic value of unity. This contradicts precision solar system measurements that tightly constrain γ around 1. We consider a modification of the theory, in which the scalar field is sourced explicitly by matter. We find that this leads to a modified expression for the γ-parameter. In particular, a specific choice of the scalar current yields γ = 1, just as in general relativity, while the weak equivalence principle is also satisfied. This result has important implications for theories that mimic Jordan–Brans–Dicke theory in the post-Newtonian limit in the solar system, including our scalar–tensor–vector gravity (STVG) modified gravity theory (MOG).
Infectious Probability Analysis on COVID-19 Spreading With Wireless Edge Networks

The emergence of infectious disease COVID-19 has challenged and changed the world in an unprecedented manner. The integration of wireless networks with edge computing (namely wireless edge networks) brings opportunities to address this crisis. In this paper, we aim to investigate the prediction of the infectious probability and propose precautionary measures against COVID-19 with the assistance of wireless edge networks. Due to the availability of the recorded detention time and the density of individuals within a wireless edge network, we propose a stochastic geometry-based method to analyze the infectious probability of individuals. The proposed method can well keep the privacy of individuals in the system since it does not require to know the location or trajectory of each individual. Moreover, we also consider three types of mobility models and the static model of individuals. Numerical results show that analytical results well match with simulation results, thereby validating the accuracy of the proposed model. Moreover, numerical results also offer many insightful implications. Thereafter, we also offer a number of countermeasures against the spread of COVID-19 based on wireless edge networks. This study lays the foundation toward predicting the infectious risk in realistic environment and points out directions in mitigating the spread of infectious diseases with the aid of wireless edge networks.
DARKFIELD MICROSCOPY (DFM) IN THE EVALUATION OF EXTRACELLULAR VESICLES

Extracellular vesicles (EVs) are particles ranging from 30 to 5000 nm, considered mediators of intercellular communication and biomarkers of distinct types of diseases. EVs are released by most cells, including tumor cells. Therefore, research to better understand its role in the development and progression of neoplasms has been increasing every year. For such, these studies require high-tech equipment, available in highly complex research laboratories. This project sought to standardize dark-field microscopy (DFM) as a simple, effective, low-cost method to assist in research with EVs. Three samples were acquired, each one containing extracellular vesicles properly classified by size (400, 100, and 50 nm). Each one of them was analyzed by using the DFM to determine resolution capability and maximum magnification.
A Malware Detection Scheme via Smart Memory Forensics for Windows Devices

With the introduction of 4G/5G Internet and the increase in the number of users, the malicious cyberattacks on computing devices have been increased making them vulnerable to external threats. High availability windows servers are designed to ensure delivery of consistent services such as business activities and e-services to their customers without any interruption. At the same time, a cyberattack on any of the clustered computer can put servers and customer devices in danger. A memory dump mechanism can capture the contents of memory in the event of a system or device crash such as corrupted files, damaged hardware, or irregular CPU power consumption. In this paper, we present a smart memory forensics scheme to recognize malicious attacks over high availability servers by capturing the memory dump of suspicious processes in the form of RGB visual images. Second, the local and global properties of malware images are captured using local binary patterns (LBP) and gray-level co-occurrence matrices (GLCM). A state-of-the-art t-distributed stochastic neighbor embedding scheme (t-SNE) is applied to reduce data dimensionality and improve the detection time of unknown malwares and their variants. An optimized CNN model is designed to predict malicious files harming servers or user devices. Throughout this study, we employed public data set of 4294 malicious samples covering malware variants and benign executables. A baseline is prepared to compare the performance of proposed model with state-of-the-art malware detection methods. The combined LBP + GLCM feature extraction along with t-SNE dimensionality reduction scheme further improved the detection accuracy by 98%, whereas the detection time is also increased by 73x. The overall performance shows that memory forensics is more effective for malware detection in terms accuracy and response time.
The growth of discs and bulges during hierarchical galaxy formation - II. Metallicity, stellar populations and dynamical evolution

We investigate the properties of the stellar populations of model galaxies as a function of galaxy evolutionary history and angular momentum content. We use the new semi-analytic model presented in Tonini et al. (2016). This new model follows the angular momentum evolution of gas and stars, providing the base for a new star formation recipe, and treatment of the effects of mergers that depends on the central galaxy dynamical structure. We find that the new recipes have the effect of boosting the efficiency of the baryonic cycle in producing and recycling metals, as well as preventing minor mergers from diluting the metallicity of bulges and ellipticals. The model reproduces the stellar mass - stellar metallicity relation for galaxies above 1e10 solar masses, including Brightest Cluster Galaxies. Model disks, galaxies dominated by instability-driven components, and merger-driven objects each stem from different evolutionary channels. These model galaxies therefore occupy different loci in the galaxy mass-size relation, which we find to be in accord with the Atlas 3D classification of disk galaxies, fast rotators and slow rotators. We find that the stellar populations' properties depend on the galaxy evolutionary type, with more evolved stellar populations being part of systems that have lost or dissipated more angular momentum during their assembly history.
High Performance Millimeter Wave SIW Slotted Array Antenna

|A high performance substrate integrated waveguide (SIW) slotted array antenna with low sidelobe level and optimum gain at 28 GHz is designed, and experimental results are presented with simulated data. In order to achieve a low sidelobe level, Chebyshev power coeﬃcients in the form of slot displacements are applied to the SIW array antenna. A MATLAB program has been written to (cid:12)nd these slot displacements. This work entails investigating and designing the optimum microstrip to SIW transition over the Ka-band, designing a 1 (cid:2) 8 slotted SIW array antenna, and (cid:12)nally applying the Chebyshev power coeﬃcients to the slots of the 1 (cid:2) 8 SIW array antenna. The fabricated prototype of a 1 (cid:2) 8 SIW slotted array antenna is tested, and its performance is studied in terms of gain and half power beam width (HPBW), compared with simulations. The measured results of the 1 (cid:2) 8 slotted SIW array antenna at 28 GHz have a j S 11 j of better than (cid:0) 20 dB, a gain of 13 dB, and an HPBW of 17 ◦ . The overall dimensions of the design at 28 GHz are 7 : 143 mm (cid:2) 51 : 8 mm (cid:2) 0 : 254 mm (0 : 667 (cid:21) o (cid:2) 4 : 84 (cid:21) o (cid:2) 0 : 023 (cid:21) o = 0 : 0766 (cid:21) 3 o mm 3 ).
ISOTROPY CONSTRAINTS ON POWERFUL SOURCES OF ULTRAHIGH-ENERGY COSMIC RAYS AT 1019 eV

Anisotropy in the arrival direction distribution of ultrahigh-energy cosmic rays (UHECRs) produced by powerful sources is numerically evaluated. We show that nondetection of significant anisotropy at ≈ 10 19 ? > eV at present and in future experiments imposes general upper limits on UHECR proton luminosity of steady sources as a function of source redshifts. The upper limits constrain the existence of typical steady 10 19 ? > eV UHECR sources in the local universe and limit their local density to ≳ 10 − 3 ? > Mpc − 3 , ? > assuming average intergalactic magnetic fields less than 10 − 9 ? > G. This isotropy, being stronger than that measured at the highest energies, may indicate the transient generation of UHECRs. Our calculations are applied for extreme high-frequency-peaked BL Lacertae objects 1ES 0229+200, 1ES 1101–232, and 1ES 0347–121, to test the UHECR-induced cascade model, in which beamed UHECR protons generate TeV radiation in transit from sources. While the magnetic-field structure surrounding the sources affects the required absolute cosmic-ray luminosity of the blazars, the magnetic-field structure surrounding the Milky Way directly affects the observed anisotropy. If these magnetic fields are weak enough, significant UHECR anisotropy from these blazars is detectable by the Pierre Auger Observatory unless the maximum energy of UHECR protons is below 1019 eV. Furthermore, if these are the sources of UHECRs above 1019 eV, a local magnetic structure surrounding the Milky Way is needed to explain the observed isotropy at ∼ 10 19 ? > eV, which may be incompatible with large magnetic structures around all galaxies for the UHECR-induced cascade model to work with reasonable jet powers.
A Pragmatic Analysis of Antony’s Oration in Julius Caesar

The present study attempts a pragmatic analysis of Antony’s famous oration in Shakespeare’s Julius Caesar. It aims to identify which speech acts were employed in this oration for the end of achieving a high level of persuasion and, hence, characterizing Antony’s peculiar persuasive style. To achieve this objective, the study adopts a pragmatic analysis utilizing the speech act theory whereby all speech acts uttered by Antony were hand-picked and collated to represent the data of the study. In the analysis of the data, Searle’s (1969) model for categorizing speech acts was adopted to best reflect the speech acts that helped exhibiting the persuasive intent of the writer. Leech’s (1983) politeness principles are adopted to show how polite the characters to each other. The finding of the study shows that the role of speech acts for persuasive goals was vital. It can be concluded that speech acts such as declarations, commissives, directives, etc., were all employed to achieve this rhetorical intention, however, the speech acts of representative were the most significant to portray Antony’s peculiar persuasive style.
Sustainability assessment of the Yangtze River Delta Urban agglomeration in China based on stochastic simulation techniques

ABSTRACT The economy, society, and environment of the world are undergoing profound changes. Achieving sustainable development has become the common aspiration of the international communities. In recent years, sustainability issues are gaining increasing prominence for cities to formulate long-term development strategies. The Yangtze River Delta (YRD) urban agglomeration, one of China’s most developed and densely populated industrial areas, has encountered environmental problems. Assessment of city sustainability of the YRD is a prominent issue in the process of urban construction. The paper used multi-criteria decision making (MCDM) framework to evaluate the sustainability level of 26 cities in the YRD by selecting 24 indicators from the economic, social, and environmental dimensions. In the weighting process, the paper proposed a new subjective and objective integrated weighting method based on stochastic simulation techniques. Relative results including pairwise priority matrix (PPM), comprehensive priority index (CPI), and the most likely ranking were obtained to reflect the superiority degree between two cities by adequate comparisons. The assessment results indicate that all the cities showed an upward trend from 2015 to 2019. Shanghai had overwhelming advantages over the other cities. The CPIs of Suzhou, Nanjing, Wuxi, Changzhou in Jiangsu province, and Hangzhou, Ningbo, Zhoushan in Zhejiang province were above 50 in 2015 and increased to over 85 in 2019. Additionally, most cities had unbalanced development on the three dimensions. Each city should firstly pay more attention to their own weak points, and then achieve balanced development and long-term sustainability.