Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Legacy Media and Social Media in Increasing Public Engagement About Violence Against Women in Turkey

Evidence that women have paid the price of what has been labeled the “shadow pandemic” is found in the increase in violence against them. The rates of femicide and lack of trust in the Turkish judicial system of the authoritarian government are worrisome. Protests have been made in the streets and through social media in response. Our goal was to determine the role of legacy news media and social media in bringing awareness of the femicide issue to the public and how affective publics function surrounding a relatively unaddressed societal problem using datasets created by women’s organizations. We conducted a content analysis on 150 sampled femicide cases in Turkey before and during the pandemic taken from online news sources. We investigated the quality of traditional news media coverage and the volume of social media users expressing emotional reactions to individual femicides over time. Results suggest that the journalistic performance of covering the issue of femicide fails to detail essential facts, and awareness and concern for the issue are evident in the Likes, retweets, shares, and expressions of emotional engagement provided to the victims, while online reactions to femicide have increased substantially since 2019, contributing to the formation of affective publics. The study makes a conceptual contribution to the understanding of legacy media and social media’s roles in spurring public engagement about serious social problems in autocratic political contexts while advancing the methodological tools of combining social scientific techniques with computational ones.
Expanding the Capabilities of Automotive Radar for Bicycle Detection With Harmonic RFID Tags at 79/158 GHz

Although traffic safety continues to improve overall, fatalities of vulnerable traffic participants and pedal cyclists specifically have reached 30-year highs. While automotive radar sensors continue to advance and are integrated in more and more vehicles, they are not ideally suited to detect pedal cyclists, especially in complicated traffic scenarios. To mitigate the problem of the lower radar-cross Section (RCS) of the cyclist, equipping them with harmonic radio frequency identification (RFID) tags is proposed. The presented system showcases the benefits of this approach by being able to conduct conventional automotive radar measurements and detect tags simultaneously. In this work, we present the printed-circuit boards (PCBs) and the necessary chipset, while especially focusing on the design of a power-efficient harmonic RFID tag. By improving the gain per current of an amplifier chain, the tag enables a range sufficient for urban scenarios while consuming little enough current to be powered by battery-operated lights. This enables the detection of pedal cyclists even in complicated scenarios at a distance of up to 80 m.
Energy Harvesting Modulation for Integrated Control State and Energy Transfer in Industrial IoT

With the development of wireless communications, the technology of industrial Internet of Things (IIoT) has been considered as a candidate for the next generation of mobile communications, which could provide automatic services for the smart factory. Massive low-power devices are swarming into the scenario for providing network intelligence. These energy-thirsty devices all require efficient control state delivery. In this letter, an energy harvesting modulation (EHM) scheme is proposed for integrated control state and energy transfer (ICSET) towards these low-power devices. The performance of wireless energy transfer (WET) and wireless control state transfer (WCST) are also analysed theoretically. The ICSET performance is optimized by ensuring the control reliability. Simulation results validate the theoretical analysis. They also demonstrate that an appropriate time slot number within a period should be selected to increase the effective control rate, while ensuring the energy harvesting performance and the control reliability of IIoT.
The BATSE trigger efficiency as a function of intensity and energy range

The new intensity dependent trigger efficiency algorithm, important for accurate determination of the GRB LogN-LogP distribution at low intensities, is described. This algorithm now includes atmospheric scattering, the capacity for trigger energy range selection, and burst spectral shape sensitivity. It is used here to put tighter constraints on the low energy behavior of the LogN-LogP distribution than were previously possible, and to evaluate the consistency of the GRB populations observed with the BATSE trigger set in the 50–300 keV range, the 25–100 keV range, and the E>100 keV range.
Slow and velocity-tunable beams of metastable He2 by multistage Zeeman deceleration

Metastable helium molecules (He$_2^*$) have been generated by striking a discharge in a supersonic expansion of helium gas from a pulsed valve. When operating the pulsed valve at room temperature, 77K, and 10K, the mean velocity of the supersonic beam was measured to be 1900m/s, 980m/s, and 530m/s, respectively. A 55-stage Zeeman decelerator operated in a phase-stable manner was then used to further reduce the beam velocity and tune it in the range between 100 and 150m/s. The internal-state distribution of the decelerated sample was established by photoionization spectroscopy.
Theory, developments and applications of optical coherence tomography

In this paper, we review the developments in optical coherence tomography (OCT) for three-dimensional non-invasive imaging. A number of different OCT techniques are discussed in some detail including time-domain, frequency-domain, full-field, quantum and Doppler OCT. A theoretical treatment is given and some relevant comparisons made between various implementations. The current and potential applications of OCT are discussed, with close attention paid to biomedical imaging and its metrological issues.
Structure Preserving Equivalent Martingale Measures for $\mathscr{H}$-SII Models

In this article we relate the set of structure preserving equivalent martingale measures $(\mathcal{M})$ for financial models driven by semimartingales with conditionally independent increments to a set of measurable and integrable functions $(\mathscr{Y})$. More precisely, we prove that $(\mathcal{M}\not = \emptyset)$ if, and only if, $(\mathscr{Y}\not = \emptyset)$, and connect the sets $(\mathcal{M})$ and $(\mathscr{Y})$ to the semimartingale characteristics of the driving process. As examples we consider integrated Levy models with independent stochastic factors and time-changed Levy models and derive mild conditions for $(\mathcal{M} \not = \emptyset)$.
Folding of Trefoil Knot and its Graph

In this study, we introduce the effect of the folding, conditional folding, retraction and conditional retraction on trefoil knot and its graph. We introduce the sheeted trefoil knot and the folding and retraction of this type and present the limit of foldings. We study how to obtain the types of link graph by adjacency matrix for any number of vertices and how to calculate Jones polynomial for this by its connection with Tutte polynomial. The link graph which represents a trefoil knot applied as an example.
Target maneuver models for tracking estimators

This paper addresses the enhancement of maneuvering target, tracking for homing missiles by using a priori knowledge about the target inotion. Orthogonality between the target acceleration and velocity vector is assumed, and a new stochastic target, model is proposed where the orthogonality is embedded. Along with the new acceleration model, the orthogonality is also enforced by the addition of a fictitious auxiliary measurement. The modified gain extended Kalman filter(MGEKF) is used as a filtering technique to estimate the target states. The numerical simulation for the two-dimensional case indicates that the proposed target model with the MGEKF leads to remarkable estimation of the target states, and that, in comparison with the angle-only measurement case, the incorporation of fictitious measurement improves the estimation.
EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations

In the natural language processing community, open-domain conversational agents, also known as chatbots, are gaining popularity. One of the difficulties is getting them to communicate in an emotionally intelligent manner. To generate dialogues, current neural response generation methods depend solely on end-to-end learning from large scale conversation data. Therefore, we introduce a large-scale multi Emotion and Intent guided Multimodal Dialogue (EmoInt-MD) dataset labelled with 32 emotions and 15 empathetic intents having 32 k dialogues taken from different movie genres. We propose a novel multi-task multimodal contextual Transformer framework for simultaneously identifying the emotions and intents in a given utterance utilizing audio and visual features in addition to the textual information. Experimental analysis proves that the proposed framework outperforms several unimodal and multimodal baselines on the EmoInt-MD dataset. This dataset along with our baseline and proposed framework implementations will be made publicly available for research purposes.
Indoor Free Space Optic: a new prototype, realization and evaluation

The Free Space Optic (FSO) communication is a daily reality used by an increasing number of companies. For indoor environment, optical wireless communication becomes a good alternative with respect to radio proposals. For both technologies, the architecture is similar: emission/reception base station (Gateway or Bridge) are installed to cover zones, which are defined to ensure a quality of service. The customers may be connected to the Wireless Local Area Network (WLAN) with an adapter or module that emits and receives on this network. But due to its specific characteristics, wireless optical technology could present important advantages such as: Transmitted data security, medical immunity, high data rate, etc. Nevertheless, the optical system may have a limit on the network management aspect and link budget. The scope of this paper is to present a proposal at crossroads between optical fibre telecom system and data processing. In this document, we will present a prototype developed in Brittany during a regional collaborative project (Techim@ges). In order to answer to the management aspect and the link budget, this prototype uses an optical multiplexing technique in 1550 nm band: the Wavelength Division Multiple Access (WDMA). Moreover it also proposes a new class 1 high power emission solution. This full duplex system transmits these various wavelengths in free space, by using optical Multiplexer/Demultiplexer and optical modules. Each module has a defined and personal wavelength associated to the terminal identification (addresses MAC or IP). This approach permits a data rate at a minimum of a ten's Mbit/s per customer and potentially hundred Mbps for a line of sight system. The application field for the achieved and proposed prototype is potentially investigated from WLAN to WPAN.
Current switching of resistive states in normal-metal-manganite single-crystal point contacts

Resistive properties of point contacts in normal-metal-manganite heterojunctions have been investigated on the base of La0.7Sr0. 3MnO3, La0.8Sr0. 2MnO3, La0.8Ca0. 2MnO3 single crystals. At considerable current levels the current-voltage characteristics of point contacts exhibit features in the form of resistance peaks at lower temperatures. Colossal magnetoresistance also considerably increases under transport current in the investigated heterojunctions. It has been assumed that the observed current switching effects are due to phase separation of manganites under the electric current.
Dynamic anti-windup method for a class of time-delay control systems with input saturation

An anti-windup-based approach is newly attempted to deal with time-delay control systems with input saturation. Following the anti-windup paradigm, we assume that controllers have been designed beforehand for time-delay control systems based on existing design techniques which will show desirable performance. Then, an additional compensator is designed to provide graceful performance degradation under control input saturation. By taking the difference of controller states in the absence and presence of input saturation as a performance index, a dynamic compensator which minimizes it is derived. The resulting anti-windup compensator is expressed in plant and controller parameters. The proposed method not only provides graceful performance degradation, but also guarantees the stability of the overall systems. Illustrative examples are provided to show the effectiveness of the proposed method. Copyright © 2000 John Wiley & Sons, Ltd.
Incremental theory of personality attenuates the effect of environmental uncertainty on intertemporal choices

To examine the impact of environmental uncertainty on individuals’ intertemporal choices and the moderating effect of implicit personality theory, two studies were conducted. Study 1 investigated the moderating role of implicit personality theory in the influence of environmental uncertainty on intertemporal choice using questionnaires. Study 2 examined whether priming incremental personality theory could change entity theorists’ intertemporal preference in an uncertain environment. The results showed that implicit personality theory plays a moderating role in the influence of environmental uncertainty on intertemporal choice. For entity theorists, the delay discounting rate was positively correlated with environmental uncertainty. In contrast, for incremental theorists, the delay discounting rate was not significantly correlated with environmental uncertainty. After priming incremental personality theory, entity theorists’ delay discounting decreased significantly. Thus, we conclude that incremental personality theory buffers the effect of environmental uncertainty on intertemporal choice.
The Order 1.5 Approximation for Solutions of Jump-Diffusion Equations

Abstract Using in Itô equation, only information from increments of a driving Wiener process make it possible to make such Runge-Kutta approximations in which the error in ℒ2-norm is of an order not greater than 1 in general case. This convergence order can be greater only when functional coefficients from the equation satisfy a certain additional condition. However, it is obvious that in general case information only from increments of the driving Wiener process does not allow to compute trajectories of the solution at discretization points, even though the analytical formula of this solution is known. In this article we show that if values of increments of the driving Wiener process are sufficient to calculate values of a solution trajectory at discretization points, then the condition mentioned above, which allows to make an order approximation, also is fulfilled. Moreover, for a certain class of scalar jump-diffusion equations a numerical method is described which converges with uniform mean square error of order .
In Situ Deposition of Reduced Graphene Oxide on Ti Foil by a Facile, Microwave-Assisted Hydrothermal Method

Reduced graphene oxide (rGO) was successfully deposited in situ onto Ti foil via a microwave-assisted hydrothermal method for the development of Ti-TiO2-rGO composite structures. The TiO2 crystallin layer was produced by the thermal oxidation of titanium foil in the presence of 0.5 M hydrofluoric acid in a controlled atmosphere consisting of a mixed flow gas of Ar and O2 at 500 °C. A great advantage of using the microwave-assisted hydrothermal method for obtaining composite structures is the fast and uniform heating mode, which prevents the aggregation of graphene layers. Specific analyses, such as X-ray diffraction, UV-VIS analysis, and SEM morphology, were used to investigate the structural, optical, and morphological characteristics of the composites. The I-V measurements of the Ti-TiO2-rGO composite structures were performed using forward bias with an applied voltage between −3 V and +3 V and a step rate of 10 mV/s. Moreover, the electrochemical behavior was obtained by cyclic voltammetry in a 1 M KNO3 supporting electrolyte and in the presence of 4 mM K3Fe(CN)6 to determine the electroactive surface area and apparent diffusion coefficient. The charge transfer resistance was investigated via electrochemical impedance spectroscopy (EIS) in a 0.1 M Na2SO4 supporting electrolyte and within a frequency range of 100 kHz to 0.1 Hz to confirm the role of rGO on the electrode’s surface. This study provided new insights into the development of high-performance and cost-effective Ti-TiO2-rGO structures both for the development of electrochemical electrodes and gas sensors.
Plasma Levels of Omega-3 and Omega-6 Derived Oxylipins Are Associated with Fecal Microbiota Composition in Young Adults

Pre-clinical studies suggest that circulating oxylipins, i.e., the oxidation products of polyunsaturated fatty acids (PUFAs), modulate gut microbiota composition in mice, but there is no information available in humans. Therefore, this study aimed to investigate the relationship between omega-3 and omega-6 derived oxylipins plasma levels and fecal microbiota composition in a cohort of young adults. 80 young adults (74% women; 21.9 ± 2.2 years old) were included in this cross-sectional study. Plasma levels of oxylipins were measured using liquid chromatography-tandem mass spectrometry. Fecal microbiota composition was analyzed by V3-V4 16S rRNA gene sequencing. We observed that plasma levels of omega-3 derived oxylipins were positively associated with the relative abundance of Clostridium cluster IV genus (Firmicutes phylum; rho ≥ 0.415, p ≤ 0.009) and negatively associated with the relative abundance of Sutterella genus (Proteobacteria phylum; rho ≥ −0.270, p ≤ 0.041), respectively. Moreover, plasma levels of omega-6 derived oxylipins were negatively associated with the relative abundance of Acidaminococcus and Phascolarctobacterium genera (Firmicutes phylum; all rho ≥ −0.263, p ≤ 0.024), as well as Sutterella, Succinivibrio, and Gemmiger genera (Proteobacteria phylum; all rho ≥ −0.263, p ≤ 0.024). Lastly, the ratio between omega-6 and omega-3 oxylipins plasma levels was negatively associated with the relative abundance of Clostridium cluster IV genus (Firmicutes phylum; rho = −0.334, p = 0.004) and Butyricimonas genus (Bacteroidetes phylum; rho = −0.292, p = 0.014). In conclusion, our results show that the plasma levels of omega-3 and omega-6 derived oxylipins are associated with the relative abundance of specific fecal bacteria genera.
Embeddings of right-angled Artin groups into higher-dimensional Thompson groups

In this paper, we show that every right-angled Artin group embeds into the [Formula: see text]-dimensional Thompson group [Formula: see text] for some [Formula: see text], by constructing a set of embeddings. This is an improvement of the previous result of Belk, Bleak and Matucci, which gives a different set of embeddings from right-angled Artin groups into higher-dimensional Thompson groups. Compared to their construction, the dimension [Formula: see text] of the target group is always smaller with our construction.
Adaptive actuator failure compensation design for unknown chaotic multi‐input systems

In this paper, an adaptive control approach is designed for compensating the faults in the actuators of chaotic systems and maintaining the acceptable system stability. We propose a state‐feedback model reference adaptive control scheme for unknown chaotic multi‐input systems. Only the dimensions of the chaotic systems are required to be known. Based on Lyapunov stability theory, new adaptive control laws are synthesized to accommodate actuator failures and system nonlinearities. An illustrative example is studied. The simulation results show the effectiveness of the design method. Copyright © 2014 John Wiley & Sons, Ltd.
A Comparative Study of COVID-19 Metaphors in Chinese and Foreign Media Discourse

Traditional metaphor studies only analyze metaphor as a common linguistic phenomenon, thinking that metaphor is only a rhetorical phenomenon that modifies discourse. In fact, as Lakoff said, metaphor is a universal phenomenon, it is everywhere, Metaphor is pervasive in everyday life, not just in language but in thought and action. Lakoff’s conceptual metaphor theory is a new breakthrough for the linguistics community. Metaphor has since got rid of the shackles of traditional rhetoric, and has officially embarked on the road of investigation and research in cognitive linguistics and cognitive science. Lakoff said, “The essence of metaphor is under-standing and experiencing one kind of thing in terms of another. ” There are many things in our real life that need to be expressed urgently, but due to the limitations of our thinking, the narrowness of our understanding or the accomplishments, the lack of expression makes us have to use metaphors to understand one thing from another. In 2020, COVID-19 broke out globally, and the major media of China and Western housing rushed to report the outbreak of COVID-19. It is impacting on economic and cultural life from all-round levels. The article studies COVID-19 from the perspective of conceptual metaphors, and aims to explore the kinds of conceptual metaphors. This article selects the two books of China Economic Weekly and The Economist as the research objects with some reports on COVID-19 in 2020, explores the conceptual metaphors related to COVID-19. The study has the following three findings: 1. In China Economic Weekly’s report on COVID-19, conceptual metaphors contain war metaphors and human metaphor. 2. In The Economist’s report on COVID-19, the mainstream reports mainly coverage war metaphor. 3. Understanding the similarities and differences in Chinese and foreign media of the conceptual metaphors on COVID-19 in the discourse. The purpose of this research is to provide readers with better ideas for understanding discourse reports, and to understand ideological concepts from a deeper perspective.
Nonlinear model reduction based on the finite element method with interpolated coefficients: Semilinear parabolic equations

For nonlinear reduced‐order models (ROMs), especially for those with high‐order polynomial nonlinearities or nonpolynomial nonlinearities, the computational complexity still depends on the dimension of the original dynamical system. To overcome this issue, we develop an efficient finite element (FE) discretization algorithm for nonlinear ROMs. The proposed approach approximates the nonlinear function by its FE interpolant, which makes the inner product evaluations in generating the nonlinear terms computationally cheaper than that in the standard FE discretization. Due to the separation of spatial and temporal variables in the FE interpolation, the discrete empirical interpolation method (DEIM) can be directly applied on the nonlinear functions in the same manner as that in the finite difference setting. Therefore, the main computational hurdles for applying the DEIM in the FE context are conquered. We also establish a rigorous asymptotic error estimation, which shows that the proposed approach achieves the same accuracy as that of the standard FE method under certain smoothness assumptions of the nonlinear functions. Several numerical tests are presented to validate the proposed method and verify the theoretical results. © 2015 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 31: 1713–1741, 2015