Miracle-dz/UniFAR-FTUs huggingface dataset:
Paying Attention to the Algorithm Behind the Curtain: Bringing Transparency to YouTube's Demonetization Algorithms

YouTube has long been a top-choice destination for independent video content creators to share their work. A large part of YouTube's appeal is owed to its practice of sharing advertising revenue with qualifying content creators through the YouTube Partner Program (YPP). In recent years, changes to the monetization policies and the introduction of algorithmic systems for making monetization decisions have been a source of controversy and tension between content creators and the platform. There have been numerous accusations suggesting that the underlying monetization algorithms engage in preferential treatment of larger channels and effectively censor minority voices by demonetizing their content. In this paper, we conduct a measurement of the YouTube monetization algorithms. We begin by measuring the incidence rates of different monetization decisions and the time taken to reach them. Next, we analyze the relationships between video content, channel popularity and these decisions. Finally, we explore the relationship between demonetization and a channel's view growth rate. Taken all together, our work suggests that demonetization after a video is publicly listed is not a common occurrence, the characteristics of the process are associated with channel size and (in unexplainable ways) video topic, and demonetization appears to have a harsh influence on the growth rate of smaller channels. We also highlight the challenges associated with conducting large-scale algorithm audits such as ours and make an argument for more transparency in algorithmic decision-making.
Spanning Tree Coverage Algorithm on Large Spaces for Multi-UAV Systems

In this work, the Improved Artificially Weighted Spanning Tree Coverage (IAWSTC) and the Cycle Growing With Event Partitioning (CGWEP) algorithms are proposed. These novel approaches are suitable for the exploration of environments with cluttered regions, where unexpected obstacles can appear. In order to solve these problems, a smoothing algorithm together with an online replanner to avoid unexpected detected obstacles is proposed. Experiments are carried out in simulation and on real drones. The algorithms are then compared and conclusions are deduced.
Seasonal variation of mercury concentration of ancient olive groves of Lebanon

Abstract. This study investigates the seasonality of the mercury (Hg) concentration of olive tree foliage, an iconic tree of the Mediterranean basin. Hg concentrations of foliage, stems, soil surface, and litter were analyzed on a monthly basis in ancient olive trees growing in two groves in Lebanon, Bchaaleh and Kawkaba (1300 and 672 m a.s.l. respectively). A significantly lower concentration was registered in stems (∼7–9 ng g−1) in comparison to foliage (∼35–48 ng g−1) in both sites, with the highest foliage Hg concentration in late winter–early spring and the lowest in summer. It is noteworthy that olive fruits also have low Hg concentrations (∼7–11 ng g−1). The soil has the highest Hg content (∼62–129 ng g−1) likely inherited through the cumulated litter biomass (∼63–76 ng g−1). A good covariation observed between our foliage Hg time series analysis and those of atmospheric Hg concentrations available for southern Italy in the western Mediterranean basin confirms that mercury pollution can be studied through olive trees. Spring sampling is recommended if the objective is to assess the trees' susceptibility to Hg uptake. Our study draws an adequate baseline for the eastern Mediterranean and the region with similar climatic inventories on Hg vegetation uptake, in addition to being a baseline to new studies on olive trees in the Mediterranean to reconstruct regional Hg pollution concentrations in the past and present.
Malice in Wonderland : children, online safety and the wonderful world of Web 2.0

Children start to use the Internet ever-earlier, which is problematic as it has not been established that young children have the capacity to engage online safely. In this thesis I concentrate on how Finnish children aged 10-12 approach and enact online safety, how their online safety is mediated at home and in schools, and how this mediation could be supported. I use mostly qualitative data collection and analysis methods. I use Nexus analysis as my theoretical lens, as it suits research where focus is on complex social action. Children who participated in my research reported being skilled in online safety. They have confidence in their skills; as do parents and teachers, to a lesser extent. Children also mediate online safety within their own groups. At home, children’s Internet use is monitored and restricted, but parents favour active mediation such as talking and offering help. Technical parental controls are unpopular. To some extent, children and parents disagree on how much parental mediation is provided. In schools, restriction and monitoring are employed, e.g., concerning smartphones, but focus is on active mediation. Teachers believe the message is best received when tied to children’s experiences. Children say they like learning while doing, and hope for a positive tone and concrete advice from online safety education. Schools connect different actors in a dialogue concerning children’s online safety, but division of responsibilities seems blurry. Teachers feel alone in deciding how online safety is taught and wish for support. My results provide implications regarding how we design mediational means for ensuring children’s online safety. When mediating online safety, adults are balancing between necessary control, loving trust, and involvement. While some control is called for, I encourage adults to become involved in children’s online lives, and to build trusting relationships. To support online safety mediation at home, I suggest a combination of technical and active mediation that serves both parents’ and children’s interests, gives parents tools for ensuring children’s safety, and facilitates trust building between family members. To support online safety mediation at school, I suggest a more systematic approach to online safety, as well as teaching practices that facilitate active mediation, fit the children's world, and appeal to teachers.
Efficient Hierarchical Signature Scheme With Batch Verification Function Suitable for ADS-B System

The federal aviation administration has ruled that starting January 1, 2020, all aircraft flying over the United States must be equipped with an automatic dependent surveillance-broadcast (ADS-B) system to broadcast aircraft location information. The plaintext communication between the ADS-B system and the ground transmission tower is extremely vulnerable to interception and tampering by criminals. In addition, because of the increasing volume of airport air traffic, the airport tower is unable to quickly and efficiently verify large numbers of aircraft from all over the world. To address these issues, a three-level hierarchical signature scheme with a batch verification function suitable for the ADS-B system is proposed. Based on the computational Diffie–Hellman assumption, we prove that the proposed scheme is secure against existing unforgeability. Futhermore, we show the advantages of our scheme in computational cost through experiments.
Training History, Cardiac Autonomic Recovery from Submaximal Exercise and Associated Performance in Recreational Runners

This study investigated the effect of prolonged exertion on cardiac parasympathetic (cPS) reorganization and associated aerobic performance in response to repeated short-lasting submaximal exercise bouts (SSE) performed for 7 days following prolonged exertion. In 19 recreational runners, heart rate (HR) and HR variability (HRV) indices (lnRMSSD, lnHF, and lnLF/HF) were monitored pre- and post-submaximal graded cycling performed on consecutive days following a half-marathon (HM) and compared with the baseline, pre-HM values. Additionally, HR recovery (HRR), aerobic performance, and rate of perceived exertion (RPE) were determined. HR, HRV indices, and HRR were tested for correlation with exercise performance. A significant time effect was found in HR, HRR, and HRV indices as well as in aerobic performance and RPE during the study period. Most of the measured parameters differed from their baseline values only on the same day following HM. However, HRR and HR measured in recovery after SSE were additionally affected one day following the half-marathon yet in opposite directions to those recorded on the same day as the HM. Thus, postSSE HR and HRR exhibited a bivariate time response (postSSE HR: 102 ± 14 bpm; p < 0.001; 82 ± 11 bpm; p = 0.007 vs. 88 ± 11 bpm; HRR in 30 s after SSE cessation: 14.9 ± 4.9 bpm; p < 0.001; 30.1 ± 13.3 bpm; p = 0.006 vs. 24.4 ± 10.8 bpm), potentially indicating a cPS dysfunction phase on the same day and cPS rebound phase one day following HM reflected also in consecutive changes in aerobic power. Correlations were found between the changes in measured cardiac indices with respect to baseline and the changes in aerobic performance indices throughout the study period. The effect of exercise history on cPS reorganization is more pronounced in response to SSE than at rest. Accordingly, we conclude that SSE performed repeatedly on a daily basis following prolonged exertion offers a noninvasive tool to evaluate the impact of training history on cPS recovery and associated aerobic power output in recreational athletes.
A Novel Tractable Methodology to Stochastic Multi-Period AC OPF in Active Distribution Systems Using Sequential Linearization Algorithm

The ongoing transition of passive distribution networks to active distribution systems (ADSs) calls for the development of sophisticated and tractable tools to address the needs and challenges of future ADSs. In this regard, this work proposes a novel tractable methodology for flexibility procurement via stochastic multi-period AC optimal power flow (S-MP-OPF). The first novelty of the proposed methodology is the formulation of a new mixed-integer linear programming (MILP) model, which develops novel linear approximations for all nonlinear constraints (i.e., active and reactive power flows and branch currents) that ensure tractability. The proposed linearization approach relies on the second-order Taylor series expansion of trigonometric terms, does not hinge on the flat-voltage, near-voltage and small angle assumptions, and formulates the linear approximations using square of voltage magnitude and voltage angle difference variables. The second novelty is a sophisticated heuristic sequential linearization algorithm (SLA) which incorporates and improves the accuracy of the MILP model in an iterative manner. The bench-marking of proposed SLA is done on a 34-bus ADS for a comprehensive set of flexible options, whereas its versatility and scalability is demonstrated on real-world 31-bus weakly-meshed and 191-bus radial ADSs. Extensive numerical analyses show that the proposed SLA leads to a highly accurate and feasible solution with small optimality gap within few iterations, under normal and stressed operating conditions, outperforms alternative methods in terms of solution accuracy and computational efficiency, and is scalable to large S-MP-OPF problems.
Translytics: A Novel Approach for Runtime Selection of Database Layout Based on User’s Context

Currently, organizations have to maintain separate systems for transactions and analytics inside the company. Notably, different vendors provide the capabilities for either of these tasks that require specialized hardware or software. Data engineers are required to retrieve data from one source and transform it into another format to obtain the maximum benefit in a minimum time. Organizations strive for a competitive advantage that is achieved by fetching data from their customers and getting insights earliest for timely decision making. Present practices do not permit the view of the latest data for analytics since the first data have to be fetched from the source, transformed, and loaded to other systems to be utilized for analysis by relevant teams. This paper introduces a single system for both transactions and analytics. Our proposed solution would permit companies to seamlessly adapt our solution without the need to shift all of their data to newer systems and allow all the teams. It would grant all the teams to have a view of the latest available data without extra expertise and budget.
Impact of nursing home‐acquired pneumonia on the domains of the novel construct of intrinsic capacity: The INCUR study

Nursing home‐acquired pneumonia (NHAP) and related hospitalizations might lead to abrupt functional declines, especially among nursing home residents. Intrinsic capacity is a novel construct proposed by the World Health Organization specifically designed to capture the physical and cognitive capacities of the aging individual to design personalized interventions. This study aimed to investigate the associations of NHAP and related hospitalizations with several intrinsic capacity domains among nursing home residents.
On the Use of SPH for Mechanical Engineering Structural Analyses: An Elastic Linear Case

In this paper the use of Smoothed Particle Hydrodynamics method is presented in the Mechanical Engineering framework In particular a two dimensional plain strain elastic linear problem is described and solved by two different approaches. Smoothed Particle Hydrodynamics is a meshless computational scheme able to perform an integral representation of a function by means of a smoothing kernel function by involving a finite particle distribution in the discrete formulation. The first approach is derived by the variational formulation of the equilibrium equation, while the second one is a direct differential method. Numerical examples on the cantilever beam problem are implemented to verify and compare the proposed approaches.
Drivers predicting biodiversity and community assembly of benthic diatoms in a karst spring environment

Geographical location, landscape heterogeneity, and their position at the edge of Quaternary glaciations are the major reasons why the river basins of the Western Carpathians are of the utmost importance for research on European aquatic biodiversity. Moreover, unlike streams, springs have several features determining their insularity in the river continuum. This study aimed to uncover the mechanism forming the diatom assemblages in the karst springs environment, using a two-dimensional approach, including taxonomic and trait data. Thus, (1) the congruence between observed and expected values of null models of taxonomic/functional diversity and functional dispersion and (2) Generalized mixed models and Variation partitioning were used to assess how taxonomic/functional diversity and composition were associated with the local conditions, regional affiliation and spatial springs distance. In 64 rheocrene karst springs (10 karst mountain ranges) of the Western Carpathians, 138 epilithic diatom taxa were found. Null model analyses did not uncover any clear evidence of non-random events forming the spring diatom community. Although, the observed functional diversity did not differ from the null model for most springs, most observed values were lower than the mean value of the null model, suggesting that, except for random events, environmental filtering was an important driver of community assembly. Substratum type, spring connectivity and phosphorus concentration drove the value of taxonomic richness, whereas functional diversity was controlled by silica and bicarbonate concentration as well as spring size. In both models, affiliation to the mountain range (defined as a random factor) was significant. The Variation Partitioning Analysis showed that diatom assemblage composition was mainly determined by local and regional environmental conditions, whilst the distance between springs had only a weak influence.
Tomographic Absorption Spectroscopy for H2O Transport in a Laminar Jet with Inverse Concentration Gradient

We report a tomographic absorption spectroscopy (TAS) study of water vapor transport in a laminar jet issuing into the ambient. The jet was generated using compressed dry air that was straightened by a honeycomb and a smooth contraction nozzle. A TAS scheme using the water vapor in the ambient as absorbing species and the absorption line near 1368.598 nm was proposed to study the H2O transport in the laminar jet with an inverse concentration gradient. One-dimensional tomography was conducted at various heights above the nozzle, and the results were validated by the predictions from computational fluid dynamics (CFD) simulations. Particularly, the variations in the concentration gradient in the shear layer at different heights were captured. The 2D distribution of water concentration in the dry laminar jet was obtained experimentally. The present study shows that TAS has great potential in the research of mass transfer and scalar field of gaseous flows.
Perceptions of Human Milk Banks as a Response to the US Infant Formula Shortage: A Mixed Methods Study of US Mothers

Human donor milk from established milk banks is the safest alternative to mother’s own milk. The current study examined US mothers’ perceptions of human milk banks as a response to the ongoing infant formula shortage in the United States. A cross-sectional study with closed and open-ended items was administered through nine Facebook groups, and a final sample of 863 responses was retained in the study. We used descriptive and inferential statistics for statistical analysis, and content and thematic analyses were conducted on open-ended responses. In our sample, 77.4% of respondents perceived human milk banking as a feasible response to the formula shortage crisis. Marital status, education, religion, and willingness to donate milk were associated with respondent perceptions of milk banking as a response to the formula shortage. US mothers’ concerns around the accessibility of milk banks and the cost of human milk were the primary reasons accounting for the hesitancy toward milk banking as a response to the infant formula shortage crisis. The study findings indicate support for milk banking as a potential ‘temporary’ solution to the formula shortage and reveal that milk banking is a tool that is currently being underutilized. It is imperative that stakeholders address the challenges identified by the current study to improve infant feeding and health.
The impact of urban housing prices on labour mobility: evidence from cities in China

Urban development relies heavily on labour, while the change in urban housing prices, in turn, has a crucial impact on labour. Therefore, the regulatory policies of housing prices have become a critical content of urban management worldwide for a long time. Based on the theoretical analysis of urban housing prices and labour mobility, we use fixed-effect panel model with the panel data of 281 cities in China from 2002 to 2018. We study the impact of rising urban housing prices on labour and identify the housing price jump as an instrumental variable in solving the endogenous problem. The results are as follows. First, the increase in urban housing prices has a crowding-out effect on labour mobility. Second, there is a moderating effect on different levels of education, urban construction, and income under the impact of urban housing prices on labour mobility. Third, the heterogeneity of the impact is reflected in the housing price-to-income ratios and industrial structures. These conclusions are supposed to have significant enlightenment for controlling the urban housing prices during high-quality economic growth and guiding labour flow more rationally.
On the Numerical Modeling of Flax/PLA Bumper Beams

Significant progress has been made in green composites developing fully biodegradable composites made of microbially degradable polymers reinforced with natural fibers. However, an improvement in the development of numerical models to predict the damage of green composites is necessary to extend their use in industrial applications of structural responsibility. This paper is focused on developing a numerical model that can predict the failure modes of four types of bumper beams made of flax/PLA green composites with different cross sections. The predictions regarding energy absorption, contact force history, and extension of delamination were compared with experimental results to validate the FEM model, and both results revealed a good agreement. Finally, the FEM model was used to analyze the failure modes of the bumper beams as a function of the impact energy and cross-section roundness. The impact energy threshold defined as the maximum absorbed-energy capability of the beam match with the impact energy that produces delaminations extended through all the cross sections. Experimental and numerical results revealed that the threshold energy, where the maximum energy-absorption capability is reached, for Type A is over 60 J; for Type B and C is around 60 J; and for Type D is at 50 J. Since delamination is concentrated at the cross-section corners, the threshold energy decreases with the cross-section roundness because the higher the roundness ratio, the wider the delamination extension.
Diversity of Phospholipases A2 from Bothrops atrox Snake Venom: Adaptive Advantages for Snakes Compromising Treatments for Snakebite Patients

The evolution of snake venoms resulted in multigene toxin families that code for structurally similar isoforms eventually harboring distinct functions. PLA2s are dominant toxins in viper venoms, and little is known about the impact of their diversity on human envenomings and neutralization by antivenoms. Here, we show the isolation of three distinct PLA2s from B. atrox venom. FA1 is a Lys-49 homologue, and FA3 and FA4 are catalytic Asp-49 PLA2s. FA1 and FA3 are basic myotoxic proteins, while FA4 is an acid non-myotoxic PLA2. FA3 was the most potent toxin, inducing higher levels of edema, inflammatory nociception, indirect hemolysis, and anticoagulant activity on human, rat, and chicken plasmas. FA4 presented lower anticoagulant activity, and FA1 had only a slight effect on human and rat plasmas. PLA2s presented differential reactivities with antivenoms, with an emphasis on FA3, which was not recognized or neutralized by the antivenoms used in this study. Our findings reveal the functional and antigenic diversity among PLA2s from B. atrox venom, highlighting the importance of assessing venom variability for understanding human envenomations and treatment with antivenoms, particularly evident here as the antivenom fails to recognize FA3, the most active multifunctional toxin described.
Complex dynamical behaviour of a delayed prey-predator model with square root functional response in presence of fear in the prey

ABSTRACT Recently, by studying some field experimental data and research articles it has been observed that due to predation, predators not only affect prey by direct killing, but they also induce the predation fear in prey which reduces its reproduction rate. The grouping behaviour of animals is one of the most important and interesting phenomena in the field of population dynamics. As a result of prey-predator forming groups, many authors have considered different functional responses in their proposed models. In reality, the amount of biomass converted into the predator due to the prey consumption is not instantaneous. To incorporate the gestation delay in this paper we have proposed and analysed a delayed prey-predator model with square root functional response and fear effect in the prey. We have discussed the qualitative analysis of solutions of the considered model in presence and absence of delay. Moreover, the transcritical bifurcation, Hopf bifurcation with it’s direction and the impact of the fear effect on both populations are studied here. Finally, some numerical simulations through graphical illustrations are carried out to support the analytical results. i