Miracle-dz/UniFAR-FTUs huggingface dataset:
Displayed Monoidal Categories for the Semantics of Linear Logic

We present a formalization of different categorical structures used to interpret linear logic. Our formalization takes place in UniMath, a library of univalent mathematics based on the Coq proof assistant. All the categorical structures we formalize are based on monoidal categories. As such, one of our contributions is a practical, usable library of formalized results on monoidal categories. Monoidal categories carry a lot of structure, and instances of monoidal categories are often built from complicated mathematical objects. This can cause challenges of scalability, regarding both the vast amount of data to be managed by the user of the library, as well as the time the proof assistant spends on checking code. To enable scalability, and to avoid duplication of computer code in the formalization, we develop "displayed monoidal categories". These gadgets allow for the modular construction of complicated monoidal categories by building them in layers; we demonstrate their use in many examples. Specifically, we define linear-non-linear categories and construct instances of them via Lafont categories and linear categories.
Strategic or Confused Firms? Evidence from “Missing” Transactions in Uganda

Abstract Are firms sophisticated maximizers, or do they appear to make mistakes? Using transaction data from Ugandan value-added tax returns, we show that sellers and buyers report different amounts 79% of the time, despite invoices being easily cross-checked. Our estimates suggest that most firms are “advantageous misreporters,” but that 25% are “disadvantageous misreporters” who systematically overreport own sales minus purchases such that their tax liability increases. Similarly, many firms—especially disadvantageous misreporters—fail to VAT-report imported inputs they themselves reported at Customs, increasing their liability. On net, unilateral VAT misreporting cost Uganda about US$384 million in foregone 2013–2016 tax revenue.
Treatment outcomes for ARUBA-eligible brain arteriovenous malformations: a comparison of real-world data from the NVQI-QOD AVM registry with the ARUBA trial

Background Significant controversy exists about the management of unruptured cerebral arteriovenous malformations (AVMs). Results from A Randomized Trial of Unruptured Brain Arteriovenous Malformations (ARUBA) suggested that intervention increases the risk of stroke/death compared with medical management. However, numerous study limitations raised concerns about the trial’s generalizability. Objective To assess the rate of stroke/death and functional outcomes in ARUBA-eligible patients from a multicenter database, the Neurovascular Quality Initiative-Quality Outcomes Database (NVQI-QOD). Methods We performed a retrospective analysis of prospectively collected data of ARUBA-eligible patients who underwent intervention at 18 participating centers. The primary endpoint was stroke/death from any cause. Secondary endpoints included neurologic, systemic, radiographic, and functional outcomes. Results 173 ARUBA-eligible patients underwent intervention with median follow-up of 269 (25–722.5) days. Seventy-five patients received microsurgery±embolization, 37 received radiosurgery, and 61 received embolization. Baseline demographics, risk factors, and general AVM characteristics were similar between groups. A total of 15 (8.7%) patients experienced stroke/death with no significant difference in primary outcome between treatment modalities. Microsurgery±embolization was more likely to achieve AVM obliteration (P<0.001). Kaplan-Meier survival curves demonstrated no difference in overall death/stroke outcomes between the different treatment modalities' 5-year period (P=0.087). Additionally, when compared with the ARUBA interventional arm, our patients were significantly less likely to experience death/stroke (8.7% vs 30.7%; P<0.001) and functional impairment (mRS score ≥2 25.4% vs 46.2%; P<0.01). Conclusion Our results suggest that intervention for unruptured brain AVMs at comprehensive stroke centers across the United States is safe.
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods

Microsatellite instability (MSI) is a phenotypic consequence of defect deoxyribonucleic acid (DNA) mismatch repair function. The MSI status is a crucial biomarker in assessing a cancer patient's response to immunotherapy. Polymerase Chain Reaction (PCR) testing or immunohistochemical detection were the gold-standard methods for determining MSI. Recent studies have demonstrated that deep learning approaches can rapidly and cost-effectively determine MSI status from standard pathological images. This study employed several self-supervised techniques, including ResNest, Transformer, and other deep learning architectures, on The Cancer Genome Atlas (TCGA) pathological image datasets to detect MSI status. The experimental results demonstrated that all methods achieved an area under the curve (AUC) exceeding 0.90. These results surpass the performance of a single traditional network structure on the datasets, thereby validating the superiority of the self-supervision training methods to predict MSI status from pathological images. Our proposed self-supervised methods effectively bridge the knowledge gap between natural and medical image-pretrained models.
Characteristics and Mechanism of Interhemispheric Coupling in Austral Winter Revealed by Long‐Term Reanalysis Data for the Whole Middle Atmosphere

Global characteristics of dynamical fields for the interhemispheric coupling (IHC) initiated with a sudden stratospheric warming (SSW) in the southern hemisphere in the austral winter were examined using the global reanalysis for the whole neutral atmosphere from a data assimilation with satellite observations over 15 years of 2005–2019. Even in the austral winter, a strong cold equatorial stratosphere associated with the SSW, which is essential for the IHC, occurs about once every two years. The mechanism of the IHC in the austral winter is basically similar to that in the boreal winter. However, there are two significant differences in the IHC characteristics between the austral and boreal winters. One is that the SSW in the austral winter occurs mainly at midlatitudes, whereas the SSW in the boreal winter occurs mainly at high latitudes. As a result, a warm temperature anomaly simultaneously appears in the southern polar mesosphere in the austral winter, which is not observed for the boreal winter. The other is related to the seasonal variation of the quasi‐two‐day wave activity and induced forcing and gravity wave forcing in the summer mesosphere. For the IHC events occurring in July, when these wave activities and forcings are high, the response in the summer mesosphere is similar to that of the boreal winter. In contrast, for late August and September, when these wave forcings are weak, the response in the summer mesosphere is small. This result indicates that the IHC characteristics are largely influenced by the seasonal variation of these waves.
Os artigos publicados são de inteira responsabilidade de seus autores . As opiniões neles emitidas não exprimem , necessariamente , o ponto de vista da Fundação Getulio Vargas

We study the effects of early childhood skill formation on productivity and schooling. We add early childhood human capital to a standard continuous time life cycle economy and assume complementarity between educational stages. Agents are homogenous and choose the intensity of preschool education, how long to stay in formal school, labor effort and consumption. The model is calibrated to the U.S. from 1961 to 2008 and matches the data very well and closely reproduces the paths of schooling, hours worked, relative prices and GDP. We find that early childhood education can explain a large part of the observed increase of years of schooling in the U.S. since 1961, and it was as important as formal education for the increase of labor productivity in the period. Furthermore, we show that small reallocations of public expenditures from formal education to early childhood education would have sizable impacts on income per capita and productivity.
How green is sugarcane ethanol?

Biofuels offer one approach for reducing carbon emissions in transportation. However, the agricultural expansion needed to produce biofuels may endanger tropical forests. I use a dynamic model of land use to disentangle the roles played by agricultural expansion and yield increases in the supply of sugarcane ethanol in Brazil. The model is estimated using remote sensing (satellite) information of sugarcane activities. Estimates imply that, at the margin, 92% of new ethanol comes from increases in area and only 8% from increases in yield. Direct deforestation accounts for 12% of area expansion. I further assess carbon emissions and deforestation implications from ethanol policies. JEL: Q11, Q16, Q57 ∗FGV EPGE Escola Brasileira de Economia e Finanças, e-mail: marcelo.santanna@fgv.br. I am grateful to Philip Haile and Steven Berry for invaluable advice and support in this project. I thank Kenneth Gillingham, Camilla Roncoroni, Lorenzo Magnolfi and numerous seminars and conferences participants. All errors are my own.
Os artigos publicados são de inteira responsabilidade de seus autores . As opiniões neles emitidas não exprimem , necessariamente , o ponto de vista da Fundação Getulio Vargas

We provide a new education quality index for states within a developing country using 2010 Brazilian data. This measure is constructed based on the notion that the financial returns obtained from an additional year of schooling can be seen as being derived from the value that market forces assign to this education. We use migrant data to estimate returns to schooling of individuals who studied in different states but who work in the same labor market. We find very heterogeneous educational qualities across states: the poorest Brazilian region presents education quality levels that are approximately equal to one-third of the average of all other regions, a gap three times larger than the one suggested by standardized test scores. We compare our index with standardized test scores, educational outcome variables, and public expenditure per schooling stage at the state level, producing new evidence related to education in a large developing country. We conduct an education quality-adjusted development accounting exercise for Brazilian states and find that human capital accounts for 26%-31% of output per worker differences. Adjusting for quality increases human capital’s explanatory power by 60%.
Australian Summer Monsoon Bursts: A Moist Static Energy Budget Perspective

The Australian monsoon's wet season is associated with sequences of wet and dry conditions known as bursts and breaks, which usually have timescales of a week or two. There are several hypotheses for the physical processes involved in monsoon bursts, ranging from the effects of the Madden‐Julian Oscillation to extratropical influences. We analyze rainfall bursts in Northern Australia using a moist static energy (MSE) budget framework. We separate the bursts into three types and further separate them into pre‐monsoon, active monsoon, and post‐monsoon. We then apply ERA5 data to calculate the MSE budget for each burst and construct composite bursts for each of the three types. We find that the horizontal advection of MSE over the tropical northern Australian convergence zone is the most critical term in the budget for the day‐to‐day precipitation variation. MSE‐related gross moist stability analysis reveals that each type has distinct characteristics. The burst type associated with active monsoon bursts displays convective growth and decay patterns both before and after the precipitation peak, which is typical of oceanic convection. A low‐rainfall burst type, which is often seen before monsoon onset, is linked to coastal convection and has minimal rainfall decay after the burst. Finally, a sustained high‐rainfall burst type, mostly observed at the end or after the monsoon retreat, has growth characteristics similar to the typical monsoon burst but does not decay, maintaining very high rainfall for at least a week due to a rearrangement of the circulation and local thermodynamic structure of the atmosphere.
Influence of dietary manipulation on coping with stress in pig production

Abstract Pigs for commercial production are often housed intensively because of its benefits, such as proper management of the animals, record‑keeping, feed and water provision and management. However, intensive systems of production may also produce stress in animals, arising from operations such as weaning, feed reduction or manipulation, and vaccination. In Africa, pig farmers feed cassava peels to pigs to reduce the cost of production despite its low protein content and anti‑nutritional factor (hydrocyanide). However, little is known about the effect of this feed change in terms of stress on weaners. In this study, we replaced maize with cassava peels and supplemented the diets with a fixed amount of tryptophan (Trp) to investigate its effect on performance, haematology, behavioural response of pigs to weaning, and their response to metabolic stress. Crossbred weaner pigs were used and randomly assigned to three treatments in a completely randomised design. Each treatment had three replicates and each replicate had three animals. The feeding trial lasted for four weeks. Dietary manipulations did not influence the growth performance characteristics and behavioural response of the animals. Packed cell volume, haemoglobin, red blood cell counts, and neutrophils were significantly (p < 0.05) higher for 20 % cassava peel as a replacement for maize but lower for a 40 % cassava peel‑based diet when compared with the control group. Feeding cassava peels as a replacement for maize in weaner pigs may be carefully considered, although further studies in this direction are recommended.
ENSO and NAO Linkage to Strong Volcanism and Associated Post‐Volcanic High‐Latitude Winter Warming

High‐latitude winter warming was observed following strong tropical volcanism, which has long been believed to be due to the volcanic‐induced positive North Atlantic Oscillation (NAO) phase. However, recent works argue that this warming is caused by El Niño–Southern Oscillation (ENSO) variability instead of volcanoes. Moreover, some studies further argue that El Niño and volcanoes work together to produce this post‐volcanic NAO winter warming. To better understand these arguments on post‐volcanic high‐latitude winter warming, we conducted ENSO‐preconditioned volcanic experiments. Our simulations strongly suggest that the post‐eruption Eurasian winter warming is caused by a post‐eruption positive NAO phase and not by coexisting ENSO‐preconditioned variability. Additionally, we find that the El Niño‐preconditioned volcanic eruption enhances the El Niño phase; however, the neutral and La Niña‐preconditioned eruptions do not lead to an ENSO–like response. These findings are helpful to better understand volcanic‐induced circulation impacts and have important implications for the interpretation of model results and post‐volcanic prediction.
A distinct signalling circuit upregulates cytotoxic ROS production in a cellular model of Parkinson’s disease: key roles for TRPM2, Zn2+ and complex III

Reactive oxygen species (ROS) serve vital physiological functions, but aberrant ROS production contributes to numerous diseases. Unfortunately, therapeutic progress targeting pathogenic ROS has been hindered by limited understanding of whether the mechanisms driving pathogenic ROS differ from those governing physiological ROS generation. To address this knowledge gap, we utilised a cellular model of Parkinson’s disease (PD), as an exemplar of ROS-associated diseases. We exposed SH-SY5Y neuroblastoma cells to the PD-toxin, MPP+ (1-methyl-4-phenylpyridinium) and studied ROS upregulation leading to cell death, the primary cause of PD. We demonstrate: (i) MPP+ stimulates ROS production by raising cytoplasmic Ca2+ levels, rather than acting directly on mitochondria. (ii) To raise the Ca2+, MPP+ co-stimulates NADPH oxidase-2 (NOX2) and the TRPM2 (Transient Receptor Potential Melastatin2) channel that form a positive feedback loop to support each other’s function. (iii) Ca2+ exacerbates mitochondrial ROS (mtROS) production not directly, but via Zn2+. (iv) Zn2+ promotes electron escape from respiratory complexes, predominantly from complex III, to generate mtROS. These conclusions are drawn from data, wherein inhibition of TRPM2 and NOX2, chelation of Ca2+ and Zn2+, and prevention of electron escape from complexes -all abolished the ability of MPP+ to induce mtROS production and the associated cell death. Furthermore, calcium ionophore mimicked the effects of MPP+, while Zn2+ ionophore replicated the effects of both MPP+ and Ca2+. Thus, we unveil a previously unrecognized signalling circuit involving NOX2, TRPM2, Ca 2+, Zn2+, and complex III that drives cytotoxic ROS production. This circuit lies dormant in healthy cells but is triggered by pathogenic insults and could therefore represent a safe therapeutic target for PD and other ROS-linked diseases.
Arm movements increase acoustic markers of expiratory flow

The gesture-speech physics theory suggests that there are biomechanical interactions of the voice with the whole body, driving speech to align fluctuations in loudness and F0 with upper-limb movement. This exploratory study offers a possible falsification of the gesture-speech physics theory, which would predict effects of upper-limb movement on voice as well as respiration. We therefore investigate co-movement expiration. Seventeen participants were asked to produce a continuous exhalation for several seconds. After 3s, they execute one of five within-subject movement conditions with their arm with and without a wrist weight (no movement, elbow flexion, elbow extension, internal arm rotation, external arm rotation). We analyzed the smoothed amplitude envelope of the acoustic signal in relation to arm movement. Compared to no movement, all four movements lead to higher positive peaks in the amplitude peaks, while weight did not influence the amplitude. We also found that across movement conditions, positive amplitude peaks are structurally timed relative to peaks in kine-matics (speed, acceleration). We conclude that the reason why upper-limb movements affect voice loudness is still best understood through gesture-speech physics theory, where upper-limb movements affect the voice directly by modulating sub-glottal pressures. Multimodal prosody is therefore partly literally embodied.
Sustained EEG responses to rapidly unfolding stochastic sounds reflect precision tracking

The brain is increasingly viewed as a statistical learning machine, where our sensations and decisions arise from the intricate interplay between bottom-up sensory signals and constantly changing expectations regarding the surrounding world. Which statistics does the brain track while monitoring the rapid progression of sensory information? Here, by combining EEG (three experiments N≥22 each) and computational modelling, we examined how the brain processes rapid and stochastic sound sequences that simulate key aspects of dynamic sensory environments. Passively listening participants were exposed to structured tone-pip arrangements that contained transitions between a range of stochastic patterns. Predictions were guided by a Bayesian predictive inference model. We demonstrate that listeners automatically track the statistics of unfolding sounds, even when these are irrelevant to behaviour. Transitions between sequence patterns drove an increase of the sustained EEG response. This was observed to a range of distributional statistics, and even in situations where behavioural detection of these transitions was at floor. These observations suggest that the modulation of the EEG sustained response reflects a universal process of belief updating within the brain. By establishing a connection between the outputs of the computational model and the observed brain responses, we demonstrate that the dynamics of these transition-related responses align with the tracking of ‘precision’ – the confidence or reliability assigned to a predicted sensory signal - shedding light on the intricate interplay between the brain’s statistical tracking mechanisms and its response dynamics.
Pear flower and leaf microbiome dynamics during the naturally occurring spread of Erwinia amylovora

Erwinia amylovora is the causal pathogen of fire blight, a contagious disease that affects apple and pear trees and other members of the family Rosaceae. In this study, we investigated the population dynamics of the pear flower microbiome in an agricultural setting during the naturally occurring infection of E. amylovora. Five potential factors were considered: collection date, the flower’s phenological stage, location on the tree, location within the orchard, and pear cultivar. The phenological stage and the collection date were identified as the most important factors associated with pear flower microbiome composition. The location of the tree in the orchard and the flower’s location on the tree had a marginal effect on the microbiome composition. The leaf microbiome reflected that of the abundant phenological stage on each date. The flower microbiome shifted towards E. amylovora, dominating the community as time and phenological stages progressed, leading to decreased community diversity. The strain population of E. amylovora remained similar throughout the entire collection period. In contrast, other taxa, including Pseudomonas, Pantoea, Lactobacillus, and Sphingomonas, were represented by dozens of amplicon sequence variants (ASVs), and different succession patterns in their populations were observed. Some of the taxa identified include known antagonists to E. amylovora. Overall, our results suggest that flower physiology and the interaction with the environment are strongly associated with the pear flower microbiome and should be considered separately. Strain succession patterns for the different taxa under E. amylovora spread may help in choosing candidates for antagonist-based treatments for fire blight. Importance The spread of pathogens in plants is an important ecological phenomenon and has a significant economic impact on agriculture. Flowers serve as the entry point for E. amylovora, but members of the flower microbiome can inhibit or slow down the proliferation and penetration of the pathogen. Knowledge about leaf and flower microbiome response to the naturally occurring spread of E. amylovora is still lacking. The current study is the first to describe the flower microbiome dynamics during the naturally occurring infection of E. amylovora. Unlike previous studies, our experiment design enabled us to evaluate the contribution of five important environmental parameters to the community composition. We identified different strain succession patterns across different taxa in the flower consortia throughout the season. These results contribute to our understanding of plant microbial ecology during pathogen spread and can help to improve biological treatments for these diseases.
Retelling the story of the early BBC through jazz broadcasting 1922 - 1932

ABSTRACT This research demonstrates that jazz programming on the BBC was a major form of output in its first decade, and a vehicle to achieve important institutional objectives. It pushes us to rethink the totalizing narratives of the BBC’s past as well as the great-man discourse used in too many histories. This article engages with existing literature on both the early BBC and the foundations of jazz in Britain, and builds upon extensive primary research into the BBC’s publications, schedules and programme content, interpreted within a framework of political economy and organizational analysis to reveal new insights.