Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

We construct an unsupervised learning model that achieves nonlinear disentanglement of underlying factors of variation in naturalistic videos. Previous work suggests that representations can be disentangled if all but a few factors in the environment stay constant at any point in time. As a result, algorithms proposed for this problem have only been tested on carefully constructed datasets with this exact property, leaving it unclear whether they will transfer to natural scenes. Here we provide evidence that objects in segmented natural movies undergo transitions that are typically small in magnitude with occasional large jumps, which is characteristic of a temporally sparse distribution. We leverage this finding and present SlowVAE, a model for unsupervised representation learning that uses a sparse prior on temporally adjacent observations to disentangle generative factors without any assumptions on the number of changing factors. We provide a proof of identifiability and show that the model reliably learns disentangled representations on several established benchmark datasets, often surpassing the current state-of-the-art. We additionally demonstrate transferability towards video datasets with natural dynamics, Natural Sprites and KITTI Masks, which we contribute as benchmarks for guiding disentanglement research towards more natural data domains.
Deep Preset: Blending and Retouching Photos with Color Style Transfer

End-users, without knowledge in photography, desire to beautify their photos to have a similar color style as a well-retouched reference. However, recent works in image style transfer are overused. They usually synthesize undesirable results due to transferring exact colors to the wrong destination. It becomes even worse in sensitive cases such as portraits. In this work, we concentrate on learning low-level image transformation, especially color-shifting methods, rather than contextual features matching, then present a novel supervised approach for color style transfer. Furthermore, we propose a color style transfer named Deep Preset designed to 1) generalize the features representing the color transformation from content with natural colors to retouched reference, then blend it into the contextual features of content, 2) predict hyper-parameters (settings or preset) of the applied low-level color transformation methods, 3) stylize content image to have a similar color style as reference. We script Lightroom, a powerful tool in editing photos, to generate 600,000 training samples using 1,200 images from the Flick2K dataset and 500 user-generated presets with 69 settings. Experimental results show that our Deep Preset outperforms the previous works in color style transfer quantitatively and qualitatively. Our work is available at https://minhmanho.github. io/deep_preset/.
Unlocking the Potential of Deep Counterfactual Value Networks

Deep counterfactual value networks combined with continual resolving provide a way to conduct depth-limited search in imperfect-information games. However, since their introduction in the DeepStack poker AI, deep counterfactual value networks have not seen widespread adoption. In this paper we introduce several improvements to deep counterfactual value networks, as well as counterfactual regret minimization, and analyze the effects of each change. We combined these improvements to create the poker AI Supremus. We show that while a reimplementation of DeepStack loses head-to-head against the strong benchmark agent Slumbot, Supremus successfully beats Slumbot by an extremely large margin and also achieves a lower exploitability than DeepStack against a local best response. Together, these results show that with our key improvements, deep counterfactual value networks can achieve state-of-the-art performance.
Mycorrhizal response in wheat cultivars: relationship to phosphorus

The effect of five mycorrhizal fungi on the growth of 10 wheat cultivars under three phosphorus regimes was assessed in a greenhouse study. Six of the cultivars responded positively, while four responded negatively or were nonresponsive to mycorrhizal inoculation. The responses of the individual cultivars were consistent regardless of inoculum source, suggesting that mycorrhizal responsiveness is an inherited trait rather than a response to individual fungi. Mycorrhizal responsiveness decreased with P fertilization for cultivars that were dependent on the symbiosis, but it was unaffected by P fertilization in cultivars that were negatively impacted by the mycorrhizae. Mycorrhizal and P responsiveness of each cultivar were highly correlated (r = 0.94), suggesting that P responsiveness may be a good predictor of the mycorrhizal dependence of selected wheat cultivars. The relationship between wheat biomass production and percentage root colonization was positive for cultivars, which responded favorably to th.
Seasonal dynamics of free and attached heterotrophic nanoflagellates in an oligomesotrophic lake

1. The seasonal development of heterotrophic nanoflagellates (HNF), bacteria, rotiferans and crustacean zooplankton was studied in the epilimnion of Lake Pavin, an oligomesotrophic lake in the Massif Central of France. 2. HNF abundance varied from 0.1 to 2.5 × 103 mL–1. Free-living HNF reached their highest density in spring when the copepod Acanthodiaptomus denticornis dominated the metazooplankton. They were present in low numbers when rotifers and cladocerans were numerous. 3. Attached HNF, consisting of bicoecids and choanoflagellates, were fixed to large diatoms and to the colonial cyanobacterium Anabaena flos-aquae. The abundance of attached HNF was significantly correlated to bacterial abundance, which fluctuated between 1.1 and 2.7 × 106 mL–1. Highest abundance of these epiphytic protists was recorded when free-living heterotrophic nanoflagellates declined. 4. The comparison of the dynamics of heterotrophic nanoflagellates, bacteria, and the impact of zooplankton grazing suggested that prey abundance, the presence of suitable attachment sites and limited competition from the free-living forms were the main factors controlling the development of the epiphytic flagellate protists. In contrast, the low abundance of free-living forms during the period of rotiferan and cladoceran development suggests the prevalence of a top-down control by predation of the metazoopankton.
The impact of digital technology use on adolescent well-being 

This review provides an overview of the literature regarding digital technology use and adolescent well-being. Overall, findings imply that the general effects are on the negative end of the spectrum but very small. Effects differ depending on the type of use: whereas procrastination and passive use are related to more negative effects, social and active use are related to more positive effects. Digital technology use has stronger effects on short-term markers of hedonic well-being (eg, negative affect) than long-term measures of eudaimonic well-being (eg, life satisfaction). Although adolescents are more vulnerable, effects are comparable for both adolescents and adults. It appears that both low and excessive use are related to decreased well-being, whereas moderate use is related to increased well-being. The current research still has many limitations: High-quality studies with large-scale samples, objective measures of digital technology use, and experience sampling of well-being are missing.
Presentations to the emergency department in Bologna, Italy, during COVID-19 outbreak

The Emilia Romagna (ER) region, Italy, in March 2020 has seen one of the largest and most serious clusters of COVID-19 in the world. In the period of 30 January to 31 May 2020, the number of paediatric emergency department presentations in Bologna, ER, decreased by 50% compared with the same period of 2019. Visits declined for every age group, with a decrease of 35%, 55% and 46% for the three age groups 0–2, 2–10 and 10–14 years, respectively. The admission rate increased from 5% to 13%. Fewer non-urgent attendances, alongside a decrease in seasonal infections due to the lockdown, appear to be the main reasons.
Bone mineral density and mortality in end-stage renal disease patients

Abstract Osteoporosis characterized by low bone mineral density (BMD) as assessed by dual-energy X-ray absorptiometry (DXA) is common among end-stage renal disease (ESRD) patients and associates with high fracture incidence and high all-cause mortality. This is because chronic kidney disease-mineral bone disorders (CKD-MBDs) promote not only bone disease (osteoporosis and renal dystrophy) but also vascular calcification and cardiovascular disease. The disturbed bone metabolism in ESRD leads to ‘loss of cortical bone’ with increased cortical porosity and thinning of cortical bone rather than to loss of trabecular bone. Low BMD, especially at cortical-rich bone sites, is closely linked to CKD-MBD, vascular calcification and poor cardiovascular outcomes. These effects appear to be largely mediated by shared mechanistic pathways via the ‘bone–vascular axis’ through which impaired bone status associates with changes in the vascular wall. Thus, bone is more than just the scaffolding that holds the body together and protects organs from external forces but is—in addition to its physical supportive function—also an active endocrine organ that interacts with the vasculature by paracrine and endocrine factors through pathways including Wnt signalling, osteoprotegerin (OPG)/receptor activator of nuclear factor-κB (RANK)/RANK ligand system and the Galectin-3/receptor of advanced glycation end products axis. The insight that osteogenesis and vascular calcification share many similarities—and the knowledge that vascular calcification is a cell-mediated active rather than a passive mineralization process—suggest that low BMD and vascular calcification (‘vascular ossification’) to a large extent represent two sides of the same coin. Here, we briefly review changes of BMD in ESRD as observed using different DXA methods (central and whole-body DXA) at different bone sites for BMD measurements, and summarize recent knowledge regarding the relationships between ‘low BMD’ and ‘fracture incidence, vascular calcification and increased mortality’ in ESRD patients, as well as potential ‘molecular mechanisms’ underlying these associations.
Kidney disease and electrolytes in COVID-19: more than meets the eye

Abstract COVID-19 is a global pandemic fuelled in some countries by government actions. The current issue of Clinical Kidney Journal presents 15 articles on COVID-19 and kidney disease from three continents, providing a global perspective of the impact of severe acute respiratory syndrome coronavirus 2 on electrolytes and different kidney compartments (glomeruli, tubules and vascular compartments) and presenting clinically as a syndrome of inappropriate antidiuretic hormone secretion, acute kidney injury, acute kidney disease, collapsing glomerulopathy and thrombotic microangiopathy, among others, in the context of a brand-new cardiorenal syndrome. Kidney injury may need acute dialysis that may overwhelm haemodialysis (HD) and haemofiltration capabilities. In this regard, acute peritoneal dialysis (PD) may be lifesaving. Additionally, pre-existent chronic kidney disease increases the risk of more severe COVID-19 complications. The impact of COVID-19 on PD and HD patients is also discussed, with emphasis on preventive measures. Finally, current therapeutic approaches and potential future therapeutic approaches undergoing clinical trials, such as complement targeting by eculizumab, are also presented.
Clinical Profiles, Characteristics, and Outcomes of the First 100 Admitted COVID-19 Patients in Pakistan: A Single-Center Retrospective Study in a Tertiary Care Hospital of Karachi

Background and objective COVID-19 is a highly disseminating viral disease imparted by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), which was declared a global pandemic by the World Health Organization. In our study, we aimed to describe the clinical characteristics of the first 100 hospitalized patients of confirmed COVID-19 in a developing country. Materials and methods The study included all the admitted patients (n = 100) having COVID-19 polymerase chain reaction (PCR) positive, and evaluated clinical profiles and characteristics of the patients linking to disease severity. Results Out of the 100 patients, 67 were in the ward, 33 were in ICU, 78 of them recovered, while 22 deaths reported. The mean age was 52.58 ± 15.68, with most frequent comorbidities are diabetes and hypertension while frequent symptoms are fever and dry cough. Bilateral lower zone patchy infiltrates are frequent chest radiographic findings. Amongst the patients admitted in ICU, there were significant differences in the total leukocyte count (P = 0.001), neutrophils and lymphocytes (P =< 0.001), monocytes (P = 0.027), urea (P =< 0.001), creatinine (P = 0.002), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) increasing with disease severity, lymphocyte-to-monocyte ratio (LMR) and lymphocyte-to-C‐reactive protein ratio (LCR) decreasing with mortalities. Gamma-glutamyl transferase (GGT) followed by aspartate aminotransferase (AST) are frequent hepatic derangements, while C-reactive protein (CRP) levels predicting ICU admission with area under the curve (AUC): 0.806, positive predictive value (PPV): 85.1% and lactate dehydrogenase (LDH) predicting mortality with AUC: 0.877, PPV: 97.3%, while NLR (AUC: 0.806, PPV: 95.8%) for mortality and neutrophils (AUC: 0.773, PPV: 87.5%) for ICU patients. Conclusion A number of factors are linked with disease severity and mortality along with dynamic changes of the laboratory investigations during hospital stay affecting prognosis.
Clinical Characteristics and Outcomes of Patients Admitted with Brief Resolved Unexplained Events to a Tertiary Care Pediatric Intensive Care Unit

The aim of this study was to determine outcomes of patients admitted to a tertiary care pediatric intensive care unit (PICU) with brief, resolved, unexplained event (BRUE), and to review the diagnostic and treatment options utilized for such patients. A retrospective data analysis was conducted for infants and children who were admitted to the PICU at a tertiary hospital with a diagnosis of BRUE over a period of three years (2015-2017). The study included 30 infants, 15 males, and 15 females. All patients survived to hospital discharge. The most frequent presenting symptoms and signs were apnea (73.3%), cyanosis (60.0%), and cough (20.0%). The most frequent reported affected systems were respiratory (33.3%), gastrointestinal (20%), and infection-related illness (20.0%). We conclude that the careful history taking, complete physical examination, and the appropriate workup for patients with BRUE play an integral role in optimum health service and utilization of critical care beds. Survival to hospital discharge with no serious in-hospital events warrants the adaptation of evidence-based medicine guidelines to stratify such patients based on the risk of recurrence or a serious underlying condition. Prospective multicenter studies are recommended to explore the effectiveness of such guidelines implementation on outcomes and diagnostic testing in such patients to optimize the utilization of the limited critical care beds.
Structural organization and differential expression of rice α-amylase genes

Abstract Rice alpha-amylases are encoded by a multigene family that has previously been classified into 5 hybridization groups. DNA sequence and Southern blot analysis identified three genes (RAmy1A, RAmy1B and RAmy1C) in Group 1 with DNA sequence identity of at least 90%. Hybridization Group 2 is represented by only one gene, RAmy3D, which is identical to a previously characterized cDNA, pOS137. RAmy3D is physically linked to the sole representative of Group 5, RAmy3E. The identity between these two genes is 81.4% in the coding region but less than 50% in the 5' and 3' flanking regions. Northern blot analysis and RNA-PCR were used to detect the expression of alpha-amylase genes in various tissues. Alpha-amylase mRNA was abundant in germinating seeds and callus. Some genes were also expressed at much lower levels in roots, young leaves and immature seeds. RAmy1A and RAmy3E were expressed in all tissues while RAmy3D was expressed in all tissues except the immature seeds. RAmy1B was weakly expressed only in callus. RAmy1A transcript was most abundant in the germinating seeds, while RAmy3D and RAmy3E transcripts were most abundant in callus and immature seeds, respectively.
Physiological and cognitive consequences of a daily 26 h photoperiod in a primate: exploring the underlying mechanisms of the circadian resonance theory

The biological clock expresses circadian rhythms, whose endogenous period (tau) is close to 24 h. Daily resetting of the circadian clock to the 24 h natural photoperiod might induce marginal costs that would accumulate over time and forward affect fitness. It was proposed as the circadian resonance theory. For the first time, we aimed to evaluate these physiological and cognitive costs that would partially explain the mechanisms of the circadian resonance hypothesis. We evaluated the potential costs of imposing a 26 h photoperiodic regimen compared to the classical 24 h entrainment measuring several physiological and cognitive parameters (body temperature, energetic expenditure, oxidative stress, cognitive performances) in males of a non-human primate (Microcebus murinus), a nocturnal species whose endogenous period is about 23.5 h. We found significant higher resting body temperature and energy expenditure and lower cognitive performances when the photoperiodic cycle length was 26 h. Together these results suggest that a great deviation of external cycles from tau leads to daily greater energetic expenditure, and lower cognitive capacities. To our knowledge, this study is the first to highlight potential mechanisms of circadian resonance theory.
Body shape diversification along the benthic–pelagic axis in marine fishes

Colonization of novel habitats can result in marked phenotypic responses to the new environment that include changes in body shape and opportunities for further morphological diversification. Fishes have repeatedly transitioned along the benthic–pelagic axis, with varying degrees of association with the substrate. Previous work focusing on individual lineages shows that these transitions are accompanied by highly predictable changes in body form. Here, we generalize expectations drawn from this literature to study the effects of habitat on body shape diversification across 3344 marine teleost fishes. We compare rates and patterns of evolution in eight linear measurements of body shape among fishes that live in pelagic, demersal and benthic habitats. While average body shape differs between habitats, these differences are subtle compared with the high diversity of shapes found within each habitat. Benthic living increases the rate of body shape evolution and has led to numerous lineages evolving extreme body shapes, including both exceptionally wide bodies and highly elongate, eel-like forms. By contrast, we find that benthic living is associated with the slowest diversification of structures associated with feeding. Though we find that habitat can serve as an impetus for predictable trait changes, we also highlight the diversity of responses in marine teleosts to opportunities presented by major habitats.
Speed oscillations in classical pilot-wave dynamics

We present the results of a theoretical investigation of a dynamical system consisting of a particle self-propelling through a resonant interaction with its own quasi-monochromatic pilot-wave field. We rationalize two distinct mechanisms, arising in different regions of parameter space, that may lead to a wavelike statistical signature with the pilot-wavelength. First, resonant speed oscillations with the wavelength of the guiding wave may arise when the particle is perturbed from its steady self-propelling state. Second, a random-walk-like motion may set in when the decay rate of the pilot-wave field is sufficiently small. The implications for the emergent statistics in classical pilot-wave systems are discussed.
A Comparison of Respiratory Variables in a Wild Population of Ventilated and Nonventilated Black Kites (Milvus migrans govinda)

Abstract: Black kites (Milvus migrans govinda) often become injured due to kite-string injuries obtained during the International Kite Flying Festival that takes place during the celebration of Uttarayan, in Ahmedabad, India. The purpose of this study was to compare respiratory variables in ventilated and nonventilated black kites, to facilitate an evidence-based decision on whether to ventilate injured birds. A total of 56 juvenile and adult black kites of unknown sex were anesthetized and divided into a ventilated group (VG) and a nonventilated group (NVG). The variables recorded were end tidal carbon dioxide (ETCO2), peripheral capillary oxygen saturation, heart rate, respiratory rate, and maintenance percentage of isoflurane (%ISO). The ETCO2 values were higher in the NVG compared to the VG (72.9 ± 19.8 mm Hg compared to 16.0 ± 5.6 mm Hg, P < .01). The %ISO required to maintain adequate depth of anesthesia was higher in NVG compared to VG (3.5% ± 0.5% compared to 2.2% ± 0.4%, P < .001). Peripheral capillary oxygen saturation was not statistically different between groups (NVG 96.3% ± 3.5% compared to the VG 96.0% ± 5.1%, P = .867). Ventilation under anesthesia appears to lower the ETCO2 and the %ISO flow rate used to maintain a surgical plane of anesthesia. These findings should provide information that will be helpful in the anesthetic management of black kites and may apply to other avian species as well.
Using students’ digital footprints to identify peer influences on academic outcomes

The ability of researchers to identify the type of activities and levels of interaction among students on a campus is important to research in Learning Analytics and in particular, anthropological studies which explore interactions among students. Historically the collection of base data in such studies has in the main been through observation, questionnaires or a combination of both. This work utilises the unique digital footprints created by student interactions with online systems within a University environment to measure student behaviour and correlate it with exam performance. The specific digital footprint we use is a students connections to the Eduroam WiFi platform within a campus. The advantage of this data-set is that it captures the personal interactions each student has with the IT systems. Datasets of this type are usually structured, complete and traceable. We will present findings that illustrate that the behaviour of students can be contextualised within the academic environment by mining this dataset. We achieve this through identifying student location and those who share that location with them and cross-referencing this with the scheduled University timetable. Our work uses the digital footprint to identify student location and thus co-location of students. From this co-location analyses we infer peer groupings and levels of interaction. This can be used for identifying peers in a University community and for identifying popular locations for different students and their peer groups to meet. This thesis examines the data collection process we followed and our data-mining process. Using the spatio-temporal data derived from the WiFi system we mined the data to produce actionable knowledge for use in the learning process. This research contains min- imal Personal Data and no Sensitive Personal Data as defined by the DCU Data Protection Policy (Version 2.0). All data has been anonymised, stored and used in conformance with the Universitys Personal Data Security Schedule (PDSS).