Miracle-dz/UniFAR-FTUs huggingface dataset:
MobileSAMv2: Faster Segment Anything to Everything

Segment anything model (SAM) addresses two practical yet challenging segmentation tasks: \textbf{segment anything (SegAny)}, which utilizes a certain point to predict the mask for a single object of interest, and \textbf{segment everything (SegEvery)}, which predicts the masks for all objects on the image. What makes SegAny slow for SAM is its heavyweight image encoder, which has been addressed by MobileSAM via decoupled knowledge distillation. The efficiency bottleneck of SegEvery with SAM, however, lies in its mask decoder because it needs to first generate numerous masks with redundant grid-search prompts and then perform filtering to obtain the final valid masks. We propose to improve its efficiency by directly generating the final masks with only valid prompts, which can be obtained through object discovery. Our proposed approach not only helps reduce the total time on the mask decoder by at least 16 times but also achieves superior performance. Specifically, our approach yields an average performance boost of 3.6\% (42.5\% \textit{v.s.} 38.9\%) for zero-shot object proposal on the LVIS dataset with the mask AR@$K$ metric. Qualitative results show that our approach generates fine-grained masks while avoiding over-segmenting things. This project targeting faster SegEvery than the original SAM is termed MobileSAMv2 to differentiate from MobileSAM which targets faster SegAny. Moreover, we demonstrate that our new prompt sampling is also compatible with the distilled image encoders in MobileSAM, contributing to a unified framework for efficient SegAny and SegEvery. The code is available at the same link as MobileSAM Project \href{https://github.com/ChaoningZhang/MobileSAM}{\textcolor{red}{https://github.com/ChaoningZhang/MobileSAM}}. \end{abstract}
Personality testing of GPT-3: Limited temporal reliability, but highlighted social desirability of GPT-3's personality instruments results

As AI-bots continue to gain popularity due to their human-like traits and the intimacy they offer to users, their societal impact inevitably expands. This leads to the rising necessity for comprehensive studies to fully understand AI-bots and reveal their potential opportunities, drawbacks, and overall societal impact. With that in mind, this research conducted an extensive investigation into ChatGPT3, a renowned AI bot, aiming to assess the temporal reliability of its personality profile. Psychological questionnaires were administered to the chatbot on two separate occasions, followed by a comparison of the responses to human normative data. The findings revealed varying levels of agreement in chatbot's responses over time, with some scales displaying excellent agreement while others demonstrated poor agreement. Overall, Davinci-003 displayed a socially desirable and pro-social personality profile, particularly in the domain of communion. However, the underlying basis of the chatbot's responses-whether driven by conscious self reflection or predetermined algorithms-remains uncertain.
Fluency, prediction and motivation: how processing dynamics, expectations and epistemic goals shape aesthetic judgements

What psychological mechanisms underlie aesthetic judgements? An influential account known as the Hedonic Marking of Fluency, later developed into a Processing Fluency Theory of Aesthetic Pleasure, posits that ease of processing elicits positive feelings and thus enhances stimulus evaluations. However, the theory faces empirical and conceptual challenges. In this paper, we extend it by integrating insights from predictive processing frameworks (PPF) and the epistemic motivation model (EMM). We propose four extensions. First, fluency of a stimulus depends on perceivers' expectations—their internal model of the world. Second, perceivers also form expectations about fluency itself and thus can experience surprising fluency. These expectations can come from the individual's history, their current task and their environment. Third, perceivers can value fluency but also disfluency, reflecting their non-directional epistemic goals. Fourth, perceivers also have directional epistemic goals, preferring specific conclusions or belief content. Consequently, affective reactions depend on whether the stimulus satisfies those goals. These directional epistemic goals may override concerns about fluency or change the value of fluency associated with specific content. We review supporting evidence and introduce novel predictions. By integrating insights from PPF and EMM, our framework can better capture established fluency effects and highlights their limitations and extensions. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
The impact of crossmodal predictions on the neural processing of aesthetic stimuli

Neuroaesthetic research has focused on neural predictive processes involved in the encounter with art stimuli or the related evaluative judgements, and it has been mainly conducted unimodally. Here, with electroencephalography, magnetoencephalography and an affective priming protocol, we investigated whether and how the neural responses to non-representational aesthetic stimuli are top-down modulated by affective representational (i.e. semantically meaningful) predictions between audition and vision. Also, the neural chronometry of affect processing of these aesthetic stimuli was investigated. We hypothesized that the early affective components of crossmodal aesthetic responses are dependent on the affective and representational predictions formed in another sensory modality resulting in differentiated brain responses, and that audition and vision indicate different processing latencies for affect. The target stimuli were aesthetic visual patterns and musical chords, and they were preceded by a prime from the opposing sensory modality. We found that early auditory-cortex responses to chords were more affected by valence than the corresponding visual-cortex ones. Furthermore, the assessments of visual targets were more facilitated by affective congruency of crossmodal primes than the acoustic targets. These results indicate, first, that the brain uses early affective information for predictively guiding aesthetic responses; second, that an affective transfer of information takes place crossmodally, mainly from audition to vision, impacting the aesthetic assessment. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
Being alive to the world: an artist's perspective on predictive processing

I consider predictive processing (PP) from the perspective of an artist who also conducts scientific research into art and perception. This paper presents artworks I have made and statements from other artists that exemplify some of PP's core principles. But it also raises questions about the extent to which current applications of PP theory provide a comprehensive account of art experience. Prediction error minimization, a key mechanism of PP, has been proposed as a cause of positive aesthetic affect because artworks offer opportunities for reward through disambiguation and learning. However, there are many cases where prediction errors proliferate in art experiences in a way that enhances aesthetic affect. Here I suggest the inability of our perceptual systems to minimize prediction errors when beholding certain artworks can evoke heightened states of fascination and exhilaration. Moreover, powerful artworks provide opportunities for maximizing prediction errors, within certain bounds, by evoking states of paradox, contradiction and illogicality. I conclude that beholding such artworks can intensify our sense of being by making us more alive to the world. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
Efficacy and Safety of Psychedelics in Treating Anxiety Disorders

Background: Anxiety disorders are commonly diagnosed and cause substantial functional impairment. A mixture of pharmacologic and psychosocial treatments currently exists, but these treatments are not always tolerable and effective. For patients with anxiety resistant to standard therapy, psychedelics may be a promising alternative. This review assesses the therapeutic benefits and safety of psychedelics in treating anxiety disorders. Methods: We searched PubMed, Embase, PsycInfo, and CINAHL for clinical trials investigating psychedelics in patients with clinician-diagnosed generalized anxiety disorder, social anxiety disorder, specific phobia, separation anxiety disorder, selective mutism, panic disorder, agoraphobia, and anxiety attributable to another medical condition. We analyzed data from 9 independent psychedelic-assisted trials testing ayahuasca (1 study), ketamine (4 studies), lysergic acid diethylamide (LSD) (2 studies), 3,4-methylenedioxymethamphetamine (MDMA) (1 study), and psilocybin (1 study). Efficacy was assessed by measuring the change in outcome measures and the quality of life from baseline. Results: The reviewed studies demonstrated encouraging efficacy in reducing anxiety symptoms, increasing self-perception, and increasing social function in patients with generalized anxiety disorder, social anxiety disorder, or anxiety attributable to another medical condition while establishing feasibility and evidence of safety. For many patients, the therapeutic effects of the psychedelic treatment lasted weeks, and no severe adverse events were reported. Conclusion: Based on the evidence of symptom reduction and safety, the current literature (2011 to 2021) shows that psychedelics could be considered for treating clinician-diagnosed anxiety disorders. Psychedelics may provide an alternative therapeutic option for patients resistant to current standard treatments.
The aesthetic valve: how aesthetic appreciation may switch emotional states from anxiety to curiosity

Pursuing new knowledge in the entropic environment is pivotal for survival. However, dealing with uncertainty is a costly challenge for the agent surrounded by the stochastic sensory world, giving rise to different epistemic emotions, such as curiosity and anxiety. We recently proposed that aesthetic appreciation may have the role of associating pleasant feedback with the update of predictive representations. According to this idea, aesthetic appreciation and its associated rewarding feeling could drive people to seek new knowledge over anxiety. However, the relationship between aesthetic appreciation, curiosity, and anxiety has been still under-examined in the literature. Here, we explore the relationship between these epistemic emotions in a series of three experiments. In study 1, we examined whether music-induced aesthetic appreciation would influence curiosity in a gambling task. In studies 2a and 2b, we explore the relationship between music-induced aesthetic appreciation and anxiety state. Overall, aesthetic appreciation promoted curiosity-driven behaviour while it was negatively associated with anxiety. These results were consistent with the idea that aesthetic appreciation could act as a ‘valve’, prompting the individual to perceive curiosity (i.e. to consider novelty as a valuable opportunity to acquire new knowledge) rather than anxiety (i.e. to consider novelty as a risk to be avoided). This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
A model of time-varying music engagement

The current paper offers a model of time-varying music engagement, defined as changes in curiosity, attention and positive valence, as music unfolds over time. First, we present research (including new data) showing that listeners tend to allocate attention to music in a manner that is guided by both features of the music and listeners' individual differences. Next, we review relevant predictive processing literature before using this body of work to inform our model. In brief, we propose that music engagement, over the course of an extended listening episode, may constitute several cycles of curiosity, attention and positive valence that are interspersed with moments of mind-wandering. Further, we suggest that refocusing on music after an episode of mind-wandering can be due to triggers in the music or, conversely, mental action that occurs when the listener realizes they are mind-wandering. Finally, we argue that factors that modulate both overall levels of music engagement and how it changes over time include music complexity, listener background and the listening context. Our paper highlights how music can be used to provide insights into the temporal dynamics of attention and into how curiosity might emerge in everyday contexts. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
Cultivating creativity: predictive brains and the enlightened room problem

How can one conciliate the claim that humans are uncertainty minimizing systems that seek to navigate predictable and familiar environments with the claim that humans can be creative? We call this the Enlightened Room Problem (ERP). The solution, we suggest, lies not (or not only) in the error-minimizing brain but in the environment itself. Creativity emerges from various degrees of interplay between predictive brains and changing environments: ones that repeatedly move the goalposts for our own error-minimizing machinery. By (co)constructing these challenging worlds, we effectively alter and expand the space within which our own prediction engines operate, and that function as ‘exploration bubbles’ that enable information seeking, uncertainty minimizing minds to penetrate deeper and deeper into artistic, scientific and engineering space. In what follows, we offer a proof of principle for this kind of environmentally led cognitive expansion. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
Receptivity of swept-aerofoil flows to small-amplitude wall roughness using a transfer function from wall displacements to induced velocity perturbations

Abstract The receptivity of a laminar boundary-layer flow to small-amplitude wall roughness is investigated on an ONERA-D swept aerofoil by introducing a dedicated transfer function from small-amplitude wall displacements to full-state velocity perturbations. The singular value decomposition of this operator for a given spanwise wavenumber provides optimal wall roughness and flow responses that maximise an input–output gain. At the most receptive spanwise wavenumber, the optimal response is a cross-flow mode associated with an optimal roughness located close to the attachment line and presenting a wavy shape with a wavevector nearly orthogonal to the external streamlines. The method therefore allows direct identification of the location and structure (chordwise and spanwise wavenumbers) of the most receptive roughness. For various given wall roughness shapes and locations (periodic or compact in the chordwise and/or spanwise directions), an approximation of the response based on the dominant optimal response is shown to accurately match the total response downstream of the roughness. The method therefore allows a straightforward computation of the response of the flow to any given small-amplitude roughness.
Insects and other invertebrates as candidates for the Bern Convention

This assessment of threatened European insects and other invertebrates has been prepared with a view to including some species on the Convention on the Conservation of European Wildlife and Natural Habitats. At present the Convention (usually known as the Bern Convention) has no invertebrates listed on its Appendices. In introductory paragraphs the great diversity of invertebrates is stressed, and the growing knowledge of threats to insects and other invertebrates is noted. The extent of efforts to conserve insects and other invertebrates to date is seen to be limited, but includes growing documentation in atlases and Red Data Books, which are briefly reviewed. The European legislation already enacted is noted and its efficacy briefly discussed. Criteria for insects and other invertebrates to be listed on the Bern Convention are proposed, including the need for such species to be seriously threatened or of widespread conservation concern, not on the margins of their ranges in Europe, and reasonably easy to identify. A total of 78 invertebrates is proposed as a preliminary list for consideration, including one praying mantis, 11 dragonflies, two orthopterans , 11 beetles, eight butterflies, five moths, five ants, two spiders, two crustaceans, 28 gastropod molluscs (including 16 endemics from Madeira), two bivalve molluscs and one leech. A summary list of these species and their status is attached to the end of this report. The interpretation of the Articles of the Bern Convention with respect to invertebrates is considered. It is emphasised that listing of invertebrates on the Bern Convention is only one step towards their conservation. Recovery plans and the implementation of measures to manage and protect habitats are needed if this initiative is to be successful. These listings will have succeeded in their purpose only when previously threatened species are considered to be out of danger and can be removed from the Convention Appendices.
Yeast EndoG prevents genome instability by degrading cytoplasmic DNA

In metazoans release of mitochondrial DNA or retrotransposon cDNA to cytoplasm can cause sterile inflammation and disease. Cytoplasmic nucleases degrade these DNA species to limit inflammation. It remains unknown whether degradation these DNA also prevents nuclear genome instability. To address this question, we decided to identify the nuclease regulating transfer of these cytoplasmic DNA species to the nucleus. We used an amplicon sequencing-based method in yeast enabling analysis of millions of DSB repair products. Nuclear mtDNA (NUMTs) and retrotransposon cDNA insertions increase dramatically in nondividing stationary phase cells. Yeast EndoG (Nuc1) nuclease limits insertions of cDNA and transfer of very long mtDNA (>10 kb) that forms unstable circles or rarely insert in the genome, but it promotes formation of short NUMTs (∼45-200 bp). Nuc1 also regulates transfer of cytoplasmic DNA to nucleus in aging or during meiosis. We propose that Nuc1 preserves genome stability by degrading retrotransposon cDNA and long mtDNA, while short NUMTs can originate from incompletely degraded mtDNA. This work suggests that nucleases eliminating cytoplasmic DNA play a role in preserving genome stability.
Cross-continental variation of herbivore resistance in a global plant invader

Successful plant invasions are often explained with adaptation to novel environments. However, invasive species often occupy broad niches within their native and introduced ranges, and a true understanding of microevolution during invasion therefore requires broad sampling of ranges, ideally with a knowledge of introduction history. We tested for genetic differentiation in herbivore resistance among 128 introduced (Europe, North America) and native (China, Japan) populations of the invasive Japanese knotweed (Reynoutria japonica) in two common gardens in the native range. In both common gardens we found that resistance traits of introduced populations differed from most Chinese native populations, but not from populations in Japan, the putative sources of introduction. Compared to Chinese populations, introduced European populations had thicker leaves with a lower C:N ratio but higher flavonoids contents. In the native range, variation in herbivore resistance was much more strongly associated with climate of origin than in introduced populations. Our results support the idea that founder effects played a key role in the invasion of knotweed into Europe and North America, with introduction of particular resistance phenotypes from Japan. Our study also demonstrates how knowledge of introduction history can avoid drawing wrong conclusions from observed biogeographic divergence.
Exploring the impact of microbial manipulation on the early development of kelp (Saccharina latissima) using an ecological core microbiome framework

Kelp cultivation is a rapidly expanding economic sector, as kelp are valued for a wide range of commercial products and for restoration of kelp forest ecosystems. Microbes associated with kelp and other macroalgae play a critical role in processes such as nutrient exchange, chemical signaling, and defense against pathogens. Thus, manipulating the microbiome to enhance macroalgal growth and resilience is a promising, but largely untested, tool in sustainable kelp cultivation. The core microbiome hypothesis suggests that bacteria that are consistently found on a host (the core microbes) are likely to have a disproportionate impact on host biology, making them an attractive target for microbiome manipulation. Here, we surveyed wild Saccharina latissima and their surrounding environment to identify core bacterial taxa, compared to cultivated kelp, and experimentally tested the effect of cultured bacterial isolates on kelp development. We find that core bacteria are nearly absent in cultivated juvenile sporophytes in nurseries but eventually colonized after outplanting kelp to ocean farm sites. We find that bacterial inoculants can have both positive and negative effects on kelp development. In line with predictions from the core microbiome hypothesis, we find a positive correlation between the frequency of the bacterial genus in the wild and the bacterial effect on the number of sporophytes in kelp co-culture experiments. IMPORTANCE The core microbiome hypothesis suggests that symbiotic microorganisms consistently associated with hosts have functional effects on host biology and health. However, there is a lack of evidence to either support or refute this idea. This study surveys the distribution of bacteria on wild and cultivated kelp to identify the core microbiome and tests the ability of bacterial isolates cultured from the surface of wild kelp to influence kelp growth and development in laboratory microbial manipulation experiments. The frequency of bacterial genera on wild kelp was positively correlated with influence on kelp development in laboratory experiments, providing support for the core microbiome hypothesis.
Temporal resolution trumps spectral resolution in UAV-based monitoring of canopy senescence dynamics

Senescence is a dynamic process that is affected by many environmental, genetic, and physiological factors. Quantifying this process is important for breeding wheat varieties with high yield and of high quality. We present a method that allows up-scaling of the state of the art method - visual scoring - by using image sequences acquired from Unmanned Aerial Vehicles (UAV). This reduces measurement time and environmental changes during the measurement as well as rater bias. We compared the potential of a widely used multispectral sensor and a cheaper high-resolution RGB camera to track the dynamics of senescence. A UAV each was equipped with one of these sensors and used to measure canopy reflectance throughout the senescence process that lasted several weeks, for more than 400 winter wheat cultivars across three field seasons. Multiple spectral and RGB indices were calculated at the experimental plot level and used to model the dynamics of senescence. Model fits were further processed to extract key time points of the senescence phase. By comparing the results of the two sensors with each other and with the visual evaluation, respectively, we show that both sensors allow monitoring of senescence dynamics and measure key time points of the phase with a precision close to that of more sophisticated proximal sensing approaches. Optimal timing of measurements proved to be more important than the choice of sensor, confirming that timely and frequent measurements should be prioritized over more expensive sensors that provide a higher spectral resolution.