Miracle-dz/UniFAR-FTUs huggingface dataset:
Remix’s retreat? Content moderation, copyright law and mashup music

Many online media platforms currently utilise algorithmically driven content moderation to prevent copyright infringement. This article explores content moderation’s effect on mashup music – a form of remix which relies primarily on the unauthorised combining of pre-existing, recognisable recordings. Drawing on interviews (n = 30) and an online survey (n = 92) with mashup producers, we show that content moderation affects producers’ creative decisions and distribution strategies, and has a strong negative effect on their overall motivation to create mashups. The objections that producers hold to this state of affairs often strongly resonate with current copyright exceptions. However, we argue that these exceptions, which form a legal ‘grey zone’, are currently unsatisfactorily accommodated for by platforms. Platforms’ political-economic power allows them, in effect, to ‘occupy’ and control this zone. Consequently, the practical efficacy of copyright law’s exceptions in this setting is significantly reduced.
Incidence, Aetiology, and Associated Fracture Patterns of Infraorbital Nerve Injuries Following Zygomaticomaxillary Complex Fractures: A Retrospective Analysis of 272 Patients

Study Design: Retrospective study. Objective: Zygomaticomaxillary complex (ZMC) fractures are common facial injuries with heterogeneity regarding aetiologies, fracture types, infraorbital nerve (ION) involvement, and treatment methods. The aim of this study was to identify associations between aetiologies, fracture types, and neurological complications. Additionally, treatment methods and recovery time were investigated. Methods: Medical files of 272 patients with unilateral and bilateral ZMC fractures were reviewed, whose cases were managed from January 2014 to January 2019 at the Department of Oral and Maxillofacial Surgery, University hospitals Leuven, Belgium. History of ION sensory dysfunction and facial nerve motoric dysfunction were noted during follow-up. Results: ION hypoaesthesia incidence was 37.3%, with the main causes being fall accidents, road traffic accidents, and interpersonal violence. Significant predictors of ION hypoaesthesia were Zingg type B fractures (P = 0.003), fracture line course through the infraorbital canal (P < .001), orbital floor fracture (P < 0.001), and ZMC dislocation or mobility (P = 0.001). Conclusion: Of all ZMC fractures, 37.3% exhibited ION hypoaesthesia. Only ZMC Zingg type B fractures (74.0%) were significantly more associated with ION hypoaesthesia. ION hypoesthesia was more likely (OR = 2.707) when the fracture line course ran through the infraorbital canal, and was less dependent on the degree of displacement. Neuropathic pain symptoms developed after ZMC fractures in 2.2% patients, posing a treatment challenge. Neuropathic pain symptoms were slightly more common among women, and were associated only with type B or C fractures. No other parameters were found to predict the outcome of this post-traumatic neuropathic pain condition.
Maternal–Fetal Attachment and Domestic Violence Against Iranian and Afghan Pregnant Women: A Cross-Cultural Study

Background: Domestic violence against pregnant women is becoming more frequent and intense. Studies have shown that women who were under more physical and psychological violence experienced a lot of stress and depression and had less ability to communicate with their fetuses. International statistics show a high prevalence of violence against Afghan women and the communities migrated to Afghanistan. Therefore, the present study aimed to compare the maternal-fetal attachment and domestic violence between Iranian and Afghan pregnant women.Methods: This study has a descriptive-comparative cross-sectional design. The study population consisted of Iranian and Afghan pregnant women referred to Kerman Health Centers in 2018-2019. One hundred-forty-six Iranian pregnant women and 142 Afghan pregnant women were enrolled in the study by the quota sampling. Data collection tools were demographic and clinical information questionnaire, questionnaires of domestic violence against women, and maternal-fetal attachment scale. Results: The mean score of maternal-fetal attachment in Iranian and Afghan pregnant women was higher than the average. Also, scores of maternal-fetal attachment and its dimensions in Afghan pregnant women were significantly higher than that of Iranian pregnant women (P < 0.001). The mean score of domestic violence was low in Iranian and Afghan pregnant women. There was no significant difference between Iranian and Afghan pregnant women in the total score of domestic violence (P > 0.05). There was a significant inverse correlation between maternal-fetal attachment and domestic violence in Iranian pregnant women (P < 0.05). In Afghan pregnant women, there was a positive and significant correlation between maternal-fetal attachment and sexual violence in while there was a significant and reverse relationship between other dimensions of attachment and violence (P < 0.05). Conclusion: This study showed that the rate of violence in the studied populations was low, and maternal-fetal attachment rate is appropriate. The relationship between violence and mother-fetal attachment had a different pattern in Iranian and Afghan women. Therefore, further studies are needed to investigate the factors affecting maternal-fetal attachment, especially in Afghan women.
A Study on the Perceived Positive Coaching Leadership, Sports Enthusiasm, and Happiness of Boxing Athletes

In recent years, the sport of boxing has become a popular trend, and with the promotion of sport psychology, the leadership style of coaches plays an important role in influencing the mental aspect of athletes. Boxing is an exercise that combines intensity and relaxation, which not only improves the strength of the muscles and bones but also contributes to the mental health of people and brings them a sense of happiness. In this study, we investigated the correlation between boxing athletes’ perceived positive coaching leadership, sports enthusiasm, and happiness. In this study, 300 valid questionnaires were collected from boxing athletes and then analyzed by statistical software. The results showed that positive leadership had a significant positive effect on sports enthusiasm; sports enthusiasm had a significant positive effect on happiness, and positive leadership had a significant positive effect on happiness.In conclusion, the study has discussed the significance of sport psychology and well-being. The study is expected to contribute to the related literature and offer suggestions for future studies in sports science and management.
Anticipated Stigma and Self-Racialization: From Alcohol Flush Reaction to Panethnic Asian Glow

ABSTRACT Although the biomedical processes of the alcohol flush reaction are well understood, no research has investigated social responses to the reaction. Interviews and focus groups with college students show that Asians and Asian Americans are acutely aware that flushing raises the specter of racial stereotyping, as in the colloquial term “Asian glow. ” White drinkers are oblivious, however, both to their own flushing and that of others. Most Asian flushers develop positive interpretations of the alcohol flush reaction, internalizing it as an identity marker of a pan-ethnic Asian community. Moreover, many also understood their flushing as a positive “ability” that allows them to better control their drinking than non-flushers. These findings suggest that flushing must also be understood through a sociocultural lens of ethnic identification, with implications for theories of ethnic identification and interventions against alcohol abuse.
Empirical Study on the Factors Affecting User Switching Behavior of Online Learning Platform Based on Push-Pull-Mooring Theory

Online learning is gaining popularity, but users can easily find alternatives and switch between learning platforms. Reducing users switching behavior is a critical condition for the sustainable development of an online learning platform; therefore, it is necessary to investigate the influence factors of users switching behavior between different platforms to retain users and enhance the competitiveness of enterprises. Push-Pull-Mooring (PPM) theory is adopted to construct a structural equation model of customer switching behavior on online learning platforms and to explore the mechanism of user switching behavior between learning platforms. The model is tested with data collected from 313 online learning users. The results show that information overload and dissatisfaction, as push factors, significantly affect user switching behavior. Functional value and network externality as pull factors positively affect user switching behavior, switching cost, and affective commitment as mooring factors negatively correlate with switching behavior. Further, this study also revealed that there are obvious different influencing factors for different online learning platforms. Overall, this study provides some practical strategies for the online learning platform and can help them to gain a competitive advantage.
Diagenetic Controls on the Formation of the Anarraaq Clastic-Dominated Zn-Pb-Ag Deposit, Red Dog District, Alaska

The Anarraaq clastic-dominated (CD) Zn-Pb-Ag deposit (Red Dog district, Alaska, USA) has an inferred mineral resource of 19.4 Mt at 14.4% Zn, 4.2% Pb, and 73 g/t Ag and is spatially associated with a separate ~1 Gt barite body. This study presents new cross sections and petrographic evidence from the Anarraaq area. The barite body, previously shown to have formed in a shallow subsurface environment akin to a methane cold seep, contains multiple generations of barite with locally abundant calcite masses, which are discordant to sedimentary laminae, and is underlain by an interval of massive pyrite containing abundant framboids and radiolarians. Calcite and pyrite are interpreted to have formed by methane-driven diagenetic alteration of host sediment at the sulfate-methane transition (SMT). The sulfide deposit contains two zones of Zn-Pb mineralization bounded by faults of unknown displacement. The dominant hydrothermal minerals are marcasite, pyrite, sphalerite, quartz, and galena. The presence of hydrothermal pseudomorphs after barite, early pyrite resembling diagenetic pyrite associated with the barite body, and hydrothermal quartz and sphalerite filling voids formed by dissolution of carbonate all suggest that host sediment composition and origin was similar to that of the barite body prior to hydrothermal mineralization. Rhenium-osmium isochron ages of Ikalukrok mudstone (339.1 ± 8.3 Ma), diagenetic pyrite (333.0 ± 7.4 Ma), and hydrothermal pyrite (334.4 ± 5.3 Ma) at Anarraaq are all within uncertainty of one another and of an existing isochron age (~338 Ma) for the Main deposit in the Red Dog district. This indicates that the Anarraaq deposit formed soon after sedimentation and that hydrothermal activity was approximately synchronous in the district. The initial Os composition of the Anarraaq isochrons (0.375 ± 0.019–0.432 ± 0.025) is consistent with contemporaneous seawater, indicating that a mantle source was not involved in the hydrothermal system. This study highlights the underappreciated but important role of early, methane-driven diagenetic processes in the paragenesis of some CD deposits and has important implications for mineral exploration.
Research on Detection and Recognition of Abnormal Data caused by Network Intrusion using Deep Learning

Based on deep learning, this study combined sparse autoencoder (SAE) with extreme learning machine (ELM) to design an SAE-ELM method to reduce the dimension of data features and realize the classification of different types of data. Experiments were carried out on NSL-KDD and UNSW-NB2015 data sets. The results showed that, compared with the K-means algorithm and the SVM algorithm, the proposed method had higher performance. On the NSL-KDD data set, the average accuracy rate of the SAE-ELM method was 98.93%, the false alarm rate was 0.17%, and the missing report rate was 5.36%. On the UNSW-NB2015 data set, the accuracy rate of the SAE-ELM method was 98.88%, the false alarm rate was 0.12%, and the missing report rate was 4.31%. The results show that the SAE-ELM method is effective in the detection and recognition of abnormal data and can be popularized and applied.
Value investing: application of different strategies to equity mutual funds

ABSTRACT In this paper we have analysed the performance of several value investing strategies for Eurozone equity mutual funds. We have executed an empirical study of what the application of this technique implies, with its different variants, to large-cap equity funds. This has allowed us to analyse different value investment strategies, and to see which are the most profitable. Since they are defined by parameters, or ratios, the next step in this study has been to analyse the sensitivity of investors’ profitability in accordance with how effective choosing mutual funds is based on certain ratios, or a possible combination of several of them. Our results support that an investment strategy combining value (undervalued stocks) and quality (high ROA) leads to success when investing in Eurozone equity mutual funds.
Deep Learning for Information Triage on Twitter

In this paper, we present a Deep Learning-based system for the support of information triaging on Twitter during emergency situations, such as disasters, or other influential events, such as political elections. The system is based on the assumption that a different type of information is required right after the event and some time after the event occurs. In a preliminary study, we analyze the language behavior of Twitter users during two kinds of influential events, namely, natural disasters and political elections. In the study, we analyze the credibility of information included by users in tweets in the above-mentioned situations, by classifying the information into two kinds: Primary Information (first-hand reports) and Secondary Information (second-hand reports, retweets, etc.). We also perform sentiment analysis of the data to check user attitudes toward the occurring events. Next, we present the structure of the system and compare a number of classifiers, including the proposed one based on Convolutional Neural Networks. Finally, we validate the system by performing an in-depth analysis of information obtained after a number of additional events, including an eruption of a Japanese volcano Ontake on 27 September 2014, as well as heavy rains and typhoons that occurred in 2020. We confirm that the methods works sufficiently well even when trained on data from nearly 10 years ago, which strongly suggests that the model is well-generalized and sufficiently grasps important aspects of each type of classified information.
Fractionation and DOSY NMR as Analytical Tools: From Model Polymers to a Technical Lignin

One key challenge hindering the valorization of lignin is its structural complexity. Artificial lignin-like materials provide a stepping stone between the simplicity of model compounds and the complexity of lignin. Here, we report an optimized synthesis of an all-G β-O-4 polymer 1 designed to model softwood lignin. After acetylation, the polymer Ac-1(V) was fractionated using a protocol that involved only volatile organic solvents, which left no insoluble residue. Using diffusion ordered spectroscopy NMR in combination with gel permeation chromatography, it was revealed that this fractionated material behaved like a flexible linear polymer in solution (average α > 0.5). Acetylated kraft lignin was subsequently processed using the same fractionation protocol. By comparison with the model polymer, we propose that the acetylated kraft lignin is composed of two classes of materials that exhibit contrasting physical properties. One is comparable to the acetylated all-G β-O-4 polymer Ac-1, and the second has a significantly different macromolecular structure.
The role of dark commemorative and sport events in peaceful coexistence in the Western Balkans

Abstract In order to analyse the ways in which problematic ethno-national behaviour at dark events in the Western Balkans undermines the transition from conflict, to post conflict and then peaceful societies, this research employed a sociological discourse analysis to critique the role dark events play in post-conflict tourism development and peaceful coexistence. Accordingly, by combining previous analyses of dark commemorative events with a new analysis of sport events, this research explains the relationship between event tourism and 16th Sustainable Development Goal (SDG) focused on peace, justice and strong institutions. This media-based analysis shows that dark commemorative and sport events share similar historical contexts, dissonant heritage and the dark leisure practices of attendees. These dark events attract tourism flows across national boundaries in the region, as well as including more widely dispersed diasporas, and international media and politicians. The prevalence of dark events in the region, which feature strongly in tourism flows, require significant attention in order to promote sustainable development. The findings of this research can be used to develop future research into the relationship between dark events and SDG16, using methods that build on this exploratory study and the new model of dark events that it provides.
Measuring Listening Comprehension and Predicting Language Development in At-Risk Preschoolers

ABSTRACT Listening comprehension involves the ability to understand and extract meaning from spoken sentences, stories, and instruction. This skill is vital for young children and has long-term effects on school achievement, employability, income, and participation in society. There is a lack of measures of young children’s listening comprehension skills. We report on a new measure of listening comprehension (LURI) that we tested in a group of at-risk preschoolers. Using IRT (Item Response Theory) analysis, we examined the psychometric properties of the instrument. Moreover, in a series of regressions, we found that the LURI measure predicted a range of other language skills better than standardized measures. Thus, the LURI test is a reliable and valid measure of listening comprehension. Assessing listening comprehension is a time-effective way of measuring a skill critically important to language development and represents the product of a range of different oral language processes.
PET Radiomic Features Variability: A Phantom Study on the Influence of Reconstruction and Discretization Method

We aimed to explore the variability of PET radiomic features for varying reconstruction methods and quantification settings. The IQ-NEMA phantom was scanned 5 times with a sphere to background F-18 concentration ratio of 10:1. The activity and the image duration were matched to result typical counting statistics for 18F-FDG oncologic examinations. The images were reconstructed with OSEM and PSF reconstructions, then 99 radiomic features were extracted using two discretization methods: fixed bin number (FBN = 16, 32 and 64 gray levels) and fixed bin width (FBW=0.25). This scheme resulted in a total of 1,188 features, classified as having low (<5.0%), intermediate (5-29.9%) or high (≥30%) variability. In general, FBW discretization yielded more stable features. A total of 499, 558 and 131 features had low, intermediate and high variability, respectively. First order features such as energy and entropy and textural features such as entropy (GLCM), long run emphasis and short run emphasis (GLRLM) were more likely to present low variability, regardless the reconstruction and discretization method. Other textural features such as large area emphasis (GLSZM), zone percentage (GLSZM) and complexity (NGTDM) had more frequently intermediate or high variability.These findings could facilitate features’ selection for further PET radiomic applications.
Designing the fiscal-monetary nexus: policy options for the EU

In recent decades, and in particular since the shift towards independent central banks, there has been no explicit coordination of fiscal and monetary policy. In the Eurozone, this lack of coordination represents an important flaw, especially since the Eurozone is not an optimal currency area. Complementing monetary union with a transfer union represents one possible solution. This paper argues that the negative impact of post-2008 and post-Covid-19 unconventional monetary policy on income inequalities provides a second reason to coordinate fiscal and monetary policy. Among various institutional arrangements to implement such coordination, the paper defends the idea that the European Central Bank should be sensitive to distributive considerations when formulating its monetary policy. Such an arrangement would help both to contain the distributive side-effects of monetary policy and to at least partially remedy the flaw at the heart of the Eurozone as long as an outright transfer union remains unfeasible.
A 14-bit High Speed 125MS/s Low Power SAR ADC using Dual Split Capacitor DAC Architecture in 90nm CMOS Technology

The proposed work presents a High speed 14-bit 125MS/s successive-approximation-register asynchronous analog-to-digital-converter (SAR-ADC). A novel-based Dual-Split-Array-Three-Section (DSATS) capacitor DAC (DSATS-CDAC) is employed to increase the linearity and energy efficiency of the digital-to-analog converter (DAC), additional advantage of this work is that, the area is reduced by 59.76% of conventional design. The proposed switching technique of the (DSATS-CDAC) consumes less switching energy. Additionally, bootstrap switching is employed to ensure improved linearity and reduced power consumption.in order to enhance the speed of operation and increase the precision a preamplifier latch based comparator is implemented with the delay of 250ps. The proposed SAR-ADC prototype is implemented in a 90nm CMOS process and consumes a power of 42.8mW at 1V operating supply. The proposed design achieves a figure of merit (FOM) of 37.43 fJ/conversion-step, signal-to-noise-ratio (SNR) of 81 dB, and an effective-number-of-bits (ENOB) of 13.16 bits with a sampling rate of 125MS/s.
A game‐theory analysis of the subsidy withdrawal policy for China's photovoltaic power generation industry

Over the past decade, the feed-in-tariff (FIT) subsidy policy of China has driven rapid growth in the photovoltaic power generation (PPG) industry. China now boasts the largest installed capacity of PPG around the world. However, the policy-driven expansion of the PPG industry has not brought about a simultaneous improvement in quality. PPG costs remain high and it is difficult to sustain PPG competitiveness. Therefore, it is imperative to gradually withdraw from the implementation of photovoltaic subsidies. Using a game theory approach, this study investigates the impact of subsidy exit policy on China's PPG industry. The results show that stimulating research and development (R&D) can be difficult under current uncertain subsidy withdrawal plan. The government should announce the plan of subsidy reduction with clear adjustment as well as corresponding effective dates. In addition, under the condition of government-controlled prices, the social welfare of the monopoly market is higher than that in the competitive market. In order to achieve the same technological progress and target output, the total cost (including enterprise cost and government expenditure) in competitive market is higher than that in monopoly market, which is caused by repeated R&D investment and technical cost. Technical cooperation could lower costs and increase profits, and is therefore recommended.
Dual-band meandered folded Printed Quadrifilar Helix Antenna

In this paper, a Compact Multi Strip Printed Quadrifilar Helix Antenna is presented. We use folded combining with meandered techniques to obtain 58% of size reduction for the axial length of the conventional PQHA. It creates also the dual frequency resonance. In addition, the gain remains positive at these two bands with a large beam width and a good circular polarization.