Miracle-dz/UniFAR-FTUs huggingface dataset:
FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks

Traffic Engineering (TE) is an important network operation that routes/reroutes flows based on network topology and traffic demands to optimize network performance. Recently, new emerging applications pose challenges to TE with dynamic network conditions, where frequent routing updates are required to maintain good network performance with Software-Defined Networking (SDN). However, flow rerouting operations could lead to considerable Quality of Service (QoS) degradation and service disruption, which is often neglected by existing TE solutions. In this paper, we apply a new QoS metric named network disturbance to measure the negative impact of flow rerouting operations performed by TE. To achieve near-optimal load balancing performance and mitigate network disturbance together in dynamic network scenarios, we propose a flexible and disturbance-aware TE solution called FlexDATE that combines Reinforcement Learning (RL) and Linear Programming (LP). Specifically, FlexDATE leverages RL to intelligently identify flexible numbers of critical flows for each traffic matrix and reroutes these critical flows based on LP optimization to improve network performance with low disturbance. Empowered by a customized actor-critic architecture coupled with Graph Neural Networks (GNNs), FlexDATE can generalize well to unseen traffic scenarios and remain resilient to single link failures. Extensive simulations are conducted on five real-world network topologies to evaluate FlexDATE with real and synthetic traffic traces. The results show that FlexDATE can achieve the performance target (i.e., 90% of optimal performance) in 99% of network scenarios and effectively mitigate the average and maximum network disturbance by up to 9.1% and 38.6%, respectively, compared to state-of-the-art TE solutions.
Effects of Trichoderma harzianum biofertilizer on growth, yield, and quality of Bupleurum chinense

Abstract The use of chemical fertilizers and pesticides led to a decline in the quality and yield of Bupleurum chinense. The aim of this study was to determine the effects of Trichoderma harzianum biofertilizer on the growth, yield, and quality of radix bupleuri and microbial responses. The results showed that T. harzianum biofertilizer promoted the growth of B. chinense and increased the yield and quality of radix bupleuri. In addition, it increased the contents of NH4 +–N, NO3 −–N, available K, and available P and increased the activities of sucrase and catalase in the rhizosphere soil. High‐throughput analysis showed that the dominant bacteria in the rhizosphere were Proteobacteria (28%), Acidobacteria (23%), and Actinobacteria (17%), whereas the dominant fungi were Ascomycota (49%), Zygomycota (30%), and Basidiomycota (6%). After the application of T. harzianum biofertilizer, the abundance of Proteobacteria and Actinobacteria (relative to total bacteria) and Ascomycota and Basidiomycota (relative to total fungi) increased, but the relative abundance of Acidobacteria decreased. Canonical correlation analysis (CCA) showed that the relative abundance of Pseudarthrobacter, Streptomyces, Rhizobium, Nocardioides, Minimedusa, and Chaetomium were positively correlated with NO3 −–N, NH4 +–N, available K, available P, sucrase, and catalase in microbial communities, whereas Aeromicrobium and Mortierella were positively correlated with soil organic matter and urease. These results suggest that T. harzianum biofertilizer could significantly improve the yield and quality of radix bupleuri by changing the structure of soil microbial flora and soil enzyme activity. Therefore, it could be recommended for commercial scale production of Bupleurum.
Peculiar spin frequency and radio profile evolution of PSR J1119−6127 following magnetar-like X-ray bursts

We present the spin frequency and profile evolution of the radio pulsar J1119 − 6127 following magnetar-like X-ray bursts from the system in 2016 July. Using data from the Parkes radio telescope, we observe a smooth and fast spin-down process subsequent to the X-ray bursts resulting in a net change in the pulsar rotational frequency of Δν ≈ −4 × 10^−4 Hz. During the transition, a net spin-down rate increase of |$\Delta \dot{\nu }\approx -1\times 10^{-10}$| Hz s^−1 is observed, followed by a return of |$\dot{\nu }$| to its original value. In addition, the radio pulsations disappeared after the X-ray bursts and reappeared about two weeks later with the flux density at 1.4 GHz increased by a factor of 5. The flux density then decreased and undershot the normal flux density followed by a slow recovery back to normal. The pulsar’s integrated profile underwent dramatic and short-term changes in total intensity, polarization, and position angle. Despite the complex evolution, we observe correlations between the spin-down rate, pulse profile shape, and radio flux density. Strong single pulses have been detected after the X-ray bursts with their energy distributions evolving with time. The peculiar but smooth spin frequency evolution of PSR J1119−6127 accompanied by systematic pulse profile and flux density changes are most likely to be a result of either reconfiguration of the surface magnetic fields or particle winds triggered by the X-ray bursts. The recovery of spin-down rate and pulse profile to normal provides us the best case to study the connection between high magnetic-field pulsars and magnetars.
Current-induced distortion of a magnetic domain wall

We consider the spin torque induced by a current flowing ballistically through a magnetic domain wall. In addition to a global pressure in the direction of the electronic flow, the torque has an internal structure of comparable magnitude due to the precession of the electrons' spins at the "Larmor" frequency. As a result, the profile of the domain wall is expected to get distorted by the current and acquires a periodic sur-structure.
The mass, location, and heating of the dust in the Cassiopeia A supernova remnant

We model the thermal dust emission from dust grains heated by synchrotron radiation and by particle collisions, under conditions appropriate for four different shocked and unshocked gas components of the Cassiopeia A (Cas A) supernova remnant (SNR). By fitting the resulting spectral energy distributions (SEDs) to the observed SNR dust fluxes, we determine the required mass of dust in each component. We find the observed SED can be reproduced by ∼0.6M⊙ of silicate grains, the majority of which is in the unshocked ejecta and heated by the synchrotron radiation field. Warmer dust, located in the X-ray emitting reverse shock and blastwave regions, contribute to the shorter wavelength infrared emission but make only a small fraction of the total dust mass. Carbon grains can at most make up ∼25 per cent of the total dust mass. Combined with estimates for the gas masses, we obtain dust-to-gas mass ratios for each component, which suggest that the condensation efficiency in the ejecta is high, and that dust in the shocked ejecta clumps is well protected from destruction by sputtering in the reverse shock.
An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction

The connected multi road side unit (RSU) environment can be envisioned as the RSU cloud. In this paper, the Software-Defined Networking (SDN) framework is utilized to dynamically reconfigure the RSU clouds for the mixed traffic flows with energy restrictions, which are composed of five categories of vehicles with distinctive communication demands. An environmentally sustainable SDN data dissemination method for safer and greener transportation solutions is thus proposed, aiming to achieve the lowest overall SDN cloud delay with the least working hosts and minimum energy consumption, which is a mixed integer linear programming problem (MILP). To solve the problem, Joint optimization algorithms with Finite resources (JF) in three hyperparameters versions, JF (DW = 0.3, HW = 0.7), JF (DW = 0.5, HW = 0.5) and JF (DW = 0.7, HW = 0.3), were proposed, which are in contrast with single-objective optimization algorithms, the Host Optimization (H) algorithm, and the Delay optimization (D) algorithm. Results show that JF (DW = 0.3, HW = 0.7) and JF (DW = 0.5, HW = 0.5), when compared with the D algorithm, usually had slightly larger cloud delays, but fewer working hosts and energy consumptions, which has vital significance for enhancing energy efficiency and environmental protection, and shows the superiority of JFs over the D algorithm. Meanwhile, the H algorithm had the least working hosts and fewest energy consumptions under the same conditions, but completely ignored the explosive surge of delay, which is not desirable for most cases of the SDN RSU cloud. Further analysis showed that the larger the network topology of the SDN cloud, the harder it was to find a feasible network configuration. Therefore, when designing an environmentally sustainable SDN RSU cloud for the greener future mobility of intelligent transportation systems, its size should be limited or partitioned into a relatively small topology.
Geometry of Higgs-branch superconformal primary bundles

It is known that the two- and three-point functions of Higgs-branch superconformal primaries in 4d N = 2 superconformal field theories obey nonrenormalization theorems on N = 2 superconformal manifolds. In this paper, we prove a stronger statement—that the bundles of Higgs-branch superconformal primaries over N = 2 superconformal manifolds are endowed with a flat connection or, equivalently, that Higgs-branch superconformal primaries have vanishing Berry phases under N = 2 exactly marginal deformations. This statement fits well with the proposed correspondence between the rigid structures of two-dimensional chiral algebras and the sector of Schur operators in four-dimensional N = 2 theories. We also discuss the general interplay between nonrenormalization theorems and the curvature of bundles of protected operators and provide a new simpler proof of the vanishing curvature of 1 / 2 -BPS operators in four-dimensional N = 4 SYM theory that does not require the use of the four-dimensional t t ∗ equations.
Teachers’ Well-Being Forced to Work from Home Due to COVID-19 Pandemic: Work Passion as a Mediator

Background: This study examines the relationship between perceived demands (workload and organizational constraints) of teachers’ work during the online period of schooling during the COVID-19 crisis and well-being (emotions, engagement, and job crafting), with work passion as a mediator. Methods: The survey was carried out on a sample of 383 teachers during the first wave of the COVID-19 pandemic. The Scale of Organizational Constraints and the Workload Scale, the Passion Scale adapted for work, the Job Crafting Questionnaire, the Utrecht Scale of Work Engagement, and the Scale of Positive and Negative Experience was used. Results: Harmonious passion strengthened the positive relationships between workload and organizational constraints and job crafting and weakened the negative relationship with positive emotions and the positive one with negative emotions. The positive relationship between workload and engagement has been strengthened by harmonious passion. The negative relationship between organizational constraints and engagement became positive and weaker. Relationships between variables were weakened, i.e., workload and engagement, organizational constraints and job crafting, or strengthened, i.e., organizational constraints and engagement, by an obsessive passion. In tested models, obsessive passion has the opposite effect and is weaker than harmonious passion. Conclusion: The structural equation modeling (SEM) confirmed that work passion, mainly harmonious, is a mechanism explaining the relationship between the demands of forced work from home with teachers’ well-being.
Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine

Partial multilabel learning (PML) has attracted considerable interest from scholars. Most PML models construct objective functions and optimize target parameters, which add noise to the training process and results in a poor classification effect. In addition, feature correlation is limited to linear transformations while ignoring the complex relationships among features. In this study, we develop a novel PML model with fuzzy neighborhood-based ball clustering and kernel extreme learning machine (KELM). To reduce the interference from noise, ball k-means clustering is introduced to preprocess partial multilabel data and initialize ball clustering. A new ball clustering model based on fuzzy neighborhood is first designed to address partial multilabel systems. The particle-ball fusion strategy is developed to merge the particle balls reasonably, and the fuzzy membership function and label enhancement are studied for the subsequent training process. Then novel KELM with feature transformation matrix of training data is produced to analyze the nonlinear relationships among features. Finally, a nonsmooth convex objective function with the regression model is constructed to analyze the complex nonlinear relationships among features, and the optimal solutions of three objective parameters are solved by accelerated proximal gradient optimization. Experiments on 14 datasets reveal the effectiveness of the developed algorithm.
THE DEVELOPMENT OF FANFICTIONAL CREATIVE WRITING INENGLISH AS AN ADDITIONAL LANGUAGE

: The Fanfictional Creative Writing (FCW) has been little addressed in contemporary Brazilian academic research.Therefore, the Fanfictional Creative Writing in English as an additional language has been addressed even less (MYERS,2006; MORLEY, 2007; BLYTHE and SWEET, 2008; HEALEY, 2009; OBERHOLZER, 2014). Accordingto the World EconomicForum (2015), creativity has been gaining more and more space and relevance inglobalized educations and socialentrepreneurships. However, there is little research that addresses thedevelopment of creativity in formal and informalschooling. This may indicate that the educational community isnot encouraging the creative development among itsstudents or does not even know how to develop it. For these reasons, the objective of this research was to identify if FCWstudents could develop their creativity and creativewriting texts in English as an additional language (EAL). Thus, an extracurricular FCW course with EAL was organized and taught at USP in 2016. The research methodology encompassed both the organization and thedelivery of this FCW course based directly on the Vygotskian sociocultural theory (VYGOTSKY,2004; 2007). Thefocus of this article was a case study (DUFF, 2008; DUFF, 2012; DYSON, 2005; STAKE, 2006). As a result, the selected student's textual production showed that there were signs of creative and textual development on digital scripts, fanwriting-creative writing techniques and fandom-paratextual scripts. Abstract: A Escrita Criativa Fanfictional (ECF) tem sido pouco abordada nas pesquisas acadêmicas contemporâneas brasileiras. Por conseguinte, a Escrita Criativa Fanfictional em inglês como língua adicional tem sido abordada com menorfrequência ainda (MYERS, 2006; MORLEY, 2007; BLYTHE and SWEET, 2008; HEALEY,2009; OBERHOLZER, 2014). Segundo o Fórum Mundial Econômico (2015), a criatividade vem ganhando cada vez mais espaço e relevância na educação globalizada e no empreendedorismo social. Entretanto, há poucas pesquisas acadêmicas que abordam o desenvolvimento da criatividade em meios escolares tanto formais quanto informais. Isto pode indicar que a comunidade educacional não vem incentivando o desenvolvimento da criativa entre seus alunos ou mesmo não sabe como desenvolvê-la. Por esses motivos, o objetivo desta pesquisa foi o de identificar como os alunos da ECF podem desenvolver sua criatividade e redação criativa de textos em inglês como língua adicional (ILA). Desta forma, um curso extracurricular de ECF com inglês como língua adicional foi desenvolvido e ministrado na USP em 2016. A metodologia de pesquisa abarcou tanto a organização quanto a ministração do curso ECF baseado diretamente na teoria sociocultural vygotskiana (VYGOTSKY, 2004;2007). O enfoque desta pesquisa foi um estudo de caso (DUFF, 2008; DUFF, 2012; DYSON, 2005; STAKE, 2006). Como resultado, a produção textual da aluna selecionada mostrou que houve sinais de desenvolvimento acerca dos digitalscripts, fanwriting-creative writing techniques e fandom-paratextual scripts.
A Geographical Extension for NOnt Ontology

Digital Libraries (DLs) are full of narratives. Besides its richness, DLs services often retrieve narrative components, but not the narratives as a whole. To formally represent this knowledge and to create and visualize narratives the Digital Humanities group of ISTI-CNR has developed the Narrative Ontology (NOnt) and the Narrative Building and Visualising Tool (NBVT). In this context, my research aims to investigate the possibility to introduce the geospatial dimension of narratives in NOnt. Moreover, my research aims to extend the functionalities of NBVT to enrich the narratives with geospatial information. As a case study, I have chosen to create narratives about mountain ecosystems and economic value chains produced within the Mountain Valorization through Interconnectedness and Green Growth (MOVING) European project (2020-2023). Currently, my research is still at an early stage and I have started to conduct a state-of-the-art study of the geospatial and spatiotemporal RDF/S representation techniques. Eventually, I will evaluate the extension of NOnt.
XR Golf Putt Trainer: User Opinions on an Innovative Real-time Feedback Tool

In impact sports such as golf, a specific stance and motion of the club can make decisive differences in the performance of players. The provision of feedback to learners in order to improve such a motion execution is crucial for their own performance development. Video recordings have been used to provide visual feedback to promote motor learning, but usually are shown with a time lag from the learner's own motion execution. With the help of new technologies such as Extended Reality (XR), learners are able to receive visual feedback during motion execution for real-time analyses via head-mounted displays. Consequently, a new real-time feedback method using XR to optimize the golf putt was developed and subsequently tested by participants of the 16th EATEL Summer School on Technology Enhanced Learning 2022. Feedback was obtained from users on the XR golf putt trainer, which will be addressed and analyzed in this article for further adaptations of the system to strengthen it for future application. The training method was developed and implemented, particularly under the aspect of improving psychomotor learning within the framework of the MILKI-PSY project.
This version: August 30, 2016 Words vs. actions: International variation in the propensity to honor investment pledges in China

We examine whether companies from certain countries are more likely to honor investment pledges. Using data on contracted and utilized FDI in China, we find that firms honor an average of 59% of their pledges within two years. The propensity to honor pledges is lower for firms from countries with greater uncertainty avoidance, power distance, and egalitarianism; higher if the source country is more traditional; and is unaffected by popular attitudes towards China. Prior literature has found that these cultural characteristics are associated with higher levels of utilized FDI. We extend this to show that announcements of planned corporate activity may be more reliable for firms from countries with certain cultures. JEL Code: F21, F23, G18, G31, Z13
ISO Observations of the Planetary Nebula Lindsay 305 in the Small Magellanic Cloud

We present ISO (Infrared Space Observatory) observations of the planetary nebula Lindsay 305 (L 305) in the Small Magellanic Cloud. L 305 is very prominent in the ISOCAM frames at 6.75 and 11.5 /im, although it is under the detection limit at 4.5 /im. The obtained spectral energy distribution shows a strong mid-IR excess, which, depending on the amount of energy radiated at wavelengths longer than 11.5 /im, may be as large as ~ 1500 L®. However, since an accurate estimate of the total nebular luminosity is not available to date, the evolutionary status of L 305 can not yet be constrained precisely.
Super-resolution reconstruction of turbulent flows with machine learning

We use machine learning to perform super-resolution analysis of grossly under-resolved turbulent flow field data to reconstruct the high-resolution flow field. Two machine learning models are developed, namely, the convolutional neural network (CNN) and the hybrid downsampled skip-connection/multi-scale (DSC/MS) models. These machine learning models are applied to a two-dimensional cylinder wake as a preliminary test and show remarkable ability to reconstruct laminar flow from low-resolution flow field data. We further assess the performance of these models for two-dimensional homogeneous turbulence. The CNN and DSC/MS models are found to reconstruct turbulent flows from extremely coarse flow field images with remarkable accuracy. For the turbulent flow problem, the machine-leaning-based super-resolution analysis can greatly enhance the spatial resolution with as little as 50 training snapshot data, holding great potential to reveal subgrid-scale physics of complex turbulent flows. With the growing availability of flow field data from high-fidelity simulations and experiments, the present approach motivates the development of effective super-resolution models for a variety of fluid flows.
A Changing-Look AGN to Be Probed by X-ray Polarimetry

Active galactic nuclei (AGN) produce the highest intrinsic luminosities in the Universe from within a compact region. The central engine is thought to be powered by accretion onto a supermassive black hole. A fraction of this huge release of energy influences the evolution of the host galaxy, and in particular, star formation. Thus, AGN are key astronomical sources not only because they play an important role in the evolution of the Universe, but also because they constitute a laboratory for extreme physics. However, these objects are under the resolution limit of current telescopes. Polarimetry is a unique technique capable of providing us with information on physical AGN structures. The incoming new era of X-ray polarimetry will give us the opportunity to explore the geometry and physical processes taking place in the innermost regions of the accretion disc. Here we exploit this future powerful tool in the particular case of changing-look AGN, which are key for understanding the complexity of AGN physics.
Effect of auditory deprivation on binaural sensitivity in bilateral cochlear implant users.

Increasing numbers of cochlear implant (CI) users receive Implants in both ears in an effort to restore spatial hearing abilities. A known limitation of commercial CI devices is lack of synchrony to the signal fine timing cues arriving at the two ears. In addition to these hardware limitations, which may contribute in substantial ways to the gap in performance typically seen between bilateral CI users and normal‐hearing people, there are considerable inter‐subject differences in the type and history of hearing loss. We use a research processor which enables inter‐aurally coordinated pulsatile stimulation of selected pairs of electrodes in the right and left ears. This project is concerned with the effects of the age at onset of deafness, and place of stimulation, on binaural sensitivity. Thresholds for discrimination of inter‐aural time difference (ITD) and inter‐aural level difference(ILD) and pointer‐identification for perceived intracranial position were measured. Prelingually deafened subjects had no .