Miracle-dz/UniFAR-FTUs huggingface dataset:
Angiostrongylosis in Cerdocyon thous (crab-eating fox) and Lycalopex gymnocercus (Pampas fox) in Southern Brazil

Abstract The objective of this study was to identify species of Angiostrongylus spp. infecting wild carnivores in Southern Brazil, as well as to describe gross and histopathological findings associated with the infection. Necropsy was conducted in 16 wild carnivores parasitized by Angiostrongylus spp. Analysed lungs revealed multifocal dark-red areas of consolidation; in one case, multifocal firm white nodules spread in all pulmonary lobes were observed. In one animal, a focally extensive area of malacia associated with haemorrhage was noted in the encephalon. Histologically, multifocal granulomatous pneumonia or bronchopneumonia, associated with eggs and larvae in blood vessels, lung interstitium, alveoli, and sometimes in bronchi and bronchioles was observed. Adult nematodes were seen within blood vessels. The lesion observed in the brain was characterized as a focally extensive area of malacia associated with gitter cells, haemorrhage, thrombosis and a free intralesional larva. Through molecular techniques, seven positive samples of Angiostrongylus cantonensis were obtained, including the brain sample, and a positive sample of Angiostrongylus vasorum-like, all in Cerdocyon thous. The positive sample for A. vasorum showed 97% similarity with sequences deposited in GenBank, suggesting a new species or subspecies of Angiostrongylus sp. Infection of Lycalopex gymnocercus by Angiostrongylus spp. was confirmed by histological evaluation.
Plant Phenotypic Traits Eventually Shape Its Microbiota: A Common Garden Test

Plant genotype drives the development of plant phenotypes and the assembly of plant microbiota. The potential influence of the plant phenotypic characters on its microbiota is not well characterized and the co-occurrence interrelations for specific microbial taxa and plant phenotypic characters are poorly understood. We established a common garden experiment, which quantifies prokaryotic and fungal communities in the phyllosphere and rhizosphere of six spruce (Picea spp.) tree species, through Illumina amplicon sequencing. We tested for relationships between bacterial/archaeal and fungal communities and for the phenotypic characters of their plant hosts. Host phenotypic characters including leaf length, leaf water content, leaf water storage capacity, leaf dry mass per area, leaf nitrogen content, leaf phosphorous content, leaf potassium content, leaf δ13C values, stomatal conductance, net photosynthetic rate, intercellular carbon dioxide concentration, and transpiration rate were significantly correlated with the diversity and composition of the bacterial/archaeal and fungal communities. These correlations between plant microbiota and suites of host plant phenotypic characters suggest that plant genotype shape its microbiota by driving the development of plant phenotypes. This will advance our understanding of plant-microbe associations and the drivers of variation in plant and ecosystem function.
Upadacitinib for the treatment of rheumatoid arthritis

ABSTRACT Introduction: Tofacitinib and baricitinib have recently been approved as second-line treatments for Rheumatoid arthritis (RA) though their maximum expected efficacy may be limited by dose-related toxicities. Upadacitinib selectively inhibits Janus Kinase 1 (JAK1) which could potentially reduce JAK2 and JAK3-related side effects. Areas covered: In this paper, we review a newly developed oral selective JAK inhibitor, upadacitinib for the treatment of RA. The doses of upadacitinib extended-release 15 and 30 mg daily selected in phase III RA studies have shown a near-maximum efficacy in phase II studies. Upadacitinib inhibited radiographic progression and displayed rapid and sustained clinical and functional efficacy in RA when in combination with methotrexate (MTX), upadacitinib was superior to placebo in MTX-Inadequate Responders (IRs) and biologic disease modifying antirheumatic drugs-IRs while as monotherapy, it was superior to MTX in MTX-IRs and MTX-naïve patients. Upadacitinib was superior to adalimumab using ACR70, reduction of pain-VAS and improvement of HAQ-DI. The comparison with abatacept is still ongoing. Expert commentary: Upadacitinib has displayed a rapid and favorable efficacy profile in RA but despite being a selective JAK1 inhibitor appears to have a similar safety profile to less-selective Jakinibs. Longer term safety data are awaited.
Reconstruction and prediction of viral disease epidemics

Abstract A growing number of infectious pathogens are spreading among geographic regions. Some pathogens that were previously not considered to pose a general threat to human health have emerged at regional and global scales, such as Zika and Ebola Virus Disease. Other pathogens, such as yellow fever virus, were previously thought to be under control but have recently re-emerged, causing new challenges to public health organisations. A wide array of new modelling techniques, aided by increased computing capabilities, novel diagnostic tools, and the increased speed and availability of genomic sequencing allow researchers to identify new pathogens more rapidly, assess the likelihood of geographic spread, and quantify the speed of human-to-human transmission. Despite some initial successes in predicting the spread of acute viral infections, the practicalities and sustainability of such approaches will need to be evaluated in the context of public health responses.
Long-term graft patency after coronary artery bypass grafting: Effects of morphological and pathophysiological factors

Objective: The aim of the present study was to identify morphological and pathophysiological factors associated with long-term patency of grafts used in coronary artery bypass grafting (CABG). Methods: A total of 127 patients who underwent CABG between 2000 and 2006 and presented for computed tomography evaluation of graft patency at 139.78±36.64 months post-CABG were analyzed. Patients received 340 grafts (2.68 grafts/patient), 399 distal anastomoses (3.14 anastomoses/patient), 220 (55.14%) performed using arterial grafts, and 179 (44.86%) using saphenous vein grafts (SVGs). Results: Graft patency varied according to vessel type and coronary territory. Overall graft patency was 90.16% for the left internal thoracic artery (LITA), 75.55% for the right internal thoracic artery (RITA), 79.25% for the radial artery (RA), and 74.3% for the SVG. The maximum patency rate was obtained with the RA (80.65%) for the right coronary territory, RITA (92.86%) for the anterolateral territory, and SVG (82.54%) for the circumflex territory. The LITA.left anterior descending artery graft occluded in 13 (7.93%) cases, 7 due to competitive flow. The influence of graft length on patency rates after indexing to height was not significant. The target vessel degree of stenosis influenced arterial graft patency rates with an occlusion odds ratio (OR) of 3.02 when anastomosed to target vessels with <90% stenosis. Target vessel caliber also influenced patency rates with occlusion ORs of 2.63 for SVGs and 2.31 for arterial grafts when anastomosed to . 1.5 mm target vessels. Conclusion: Morphological parameters, such as graft type, target territory, target vessel caliber, and degree of stenosis, are important factors conditioning long-term graft patency.
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization

Fooling deep neural networks with adversarial input have exposed a significant vulnerability in current state-of-the-art systems in multiple domains. Both black-box and white-box approaches have been used to either replicate the model itself or to craft examples which cause the model to fail. In this work, we use a multi-objective genetic algorithm based approach to perform both targeted and un-targeted black-box attacks on automatic speech recognition (ASR) systems. The main contribution of this research is the proposal of a generic framework which can be used to attack any ASR system, even if it's internal working is hidden. During the un-targeted attacks, the Word Error Rates (WER) of the ASR degrades from 0.5 to 5.4, indicating the potency of our approach. In targeted attacks, our solution reaches a WER of 2.14. In both attacks, the adversarial samples maintain a high acoustic similarity of 0.98 and 0.97.
Cultural Collectivism and Tightness Moderate Responses to Norm Violators: Effects on Power Perception, Moral Emotions, and Leader Support

Responses to norm violators are poorly understood. On one hand, norm violators are perceived as powerful, which may help them to get ahead. On the other hand, norm violators evoke moral outrage, which may frustrate their upward social mobility. We addressed this paradox by considering the role of culture. Collectivistic cultures value group harmony and tight cultures value social order. We therefore hypothesized that collectivism and tightness moderate reactions to norm violators. We presented 2,369 participants in 19 countries with a norm violation or a norm adherence scenario. In individualistic cultures, norm violators were considered more powerful than norm abiders and evoked less moral outrage, whereas in collectivistic cultures, norm violators were considered less powerful and evoked more moral outrage. Moreover, respondents in tighter cultures expressed a stronger preference for norm followers as leaders. Cultural values thus influence responses to norm violators, which may have downstream consequences for violators’ hierarchical positions.
Vestibular assessment in the pediatric population

INTRODUCTION Vestibular disorders in children are not as uncommon as generally assumed. Prevalence rates vary from 0.7% to 15%, although certain groups (e.g., those with congenital TORCH [toxoplasmosis, rubella, cytomegalovirus, and herpes simplex virus] infections, prematurity and/or hearing loss) are known to be at higher risk for vestibular dysfunctions. Moreover, recent studies suggest that the impact of vestibular dysfunction may be greater than previously thought and may not be limited to delayed (gross) motor development, but could also be accompanied by learning difficulties (e.g., reading, writing) or cognitive deficits (e.g., visuospatial orientation, attention). In young children (age< 6 years), both history taking and vestibular assessment are challenging, because children report vague symptoms lacking the appropriate vocabulary to describe their complaints, vestibular tests are not very child-friendly, and the available equipment is not adapted to the pediatric population. The aim of this article was to propose simple adjustments to create a child-friendly version of the standard vestibular assessment that provides objective information on the function of the different parts of the vestibular system.
Query-based Logo Segmentation

Logo detection in real-world scene images is an important problem with applications in advertisement and marketing. Existing general-purpose object detection methods require large training data with annotations for every logo class. These methods do not satisfy the incremental demand of logo classes necessary for practical deployment since it is practically impossible to have such annotated data for new unseen logo. In this work, we develop an easy-to-implement query-based logo detection and localization system by employing a one-shot learning technique. Given an image of a query logo, our model searches for it within a given target image and predicts the possible location of the logo by estimating a binary segmentation mask. The proposed model consists of a conditional branch and a segmentation branch. The former gives a conditional latent representation of the given query logo which is combined with feature maps of the segmentation branch at multiple scales in order to find the matching position of the query logo in a target image, should it be present. Feature matching between the latent query representation and multi-scale feature maps of segmentation branch using simple concatenation operation followed by 1x1 convolution layer makes our model scale-invariant. Despite its simplicity, our query-based logo retrieval framework achieved superior performance in FlickrLogos-32 and TopLogos-10 dataset over different existing baselines.
On the Transferability of Adversarial Examples against CNN-based Image Forensics

Recent studies have shown that Convolutional Neural Networks (CNN) are relatively easy to attack through the generation of so called adversarial examples. Such vulnerability also affects CNN-based image forensic tools. Research in deep learning has shown that adversarial examples exhibit a certain degree of transferability, i.e., they maintain part of their effectiveness even against CNN models other than the one targeted by the attack. This is a very strong property undermining the usability of CNN’s in security-oriented applications. In this paper, we investigate if attack transferability also holds in image forensics applications. With specific reference to the case of manipulation detection, we analyse the results of several experiments considering different sources of mismatch between the CNN used to build the adversarial examples and the one adopted by the forensic analyst. The analysis ranges from cases in which the mismatch involves only the training dataset, to cases in which the attacker and the forensic analyst adopt different architectures. The results of our experiments show that, in the majority of the cases, the attacks are not transferable, thus easing the design of proper countermeasures at least when the attacker does not have a perfect knowledge of the target detector.
Foetal hypoxia impacts methylome and transcriptome in developmental programming of heart disease.

AIMS Antenatal hypoxia negatively impacts foetal heart development, and increases the risk of heart disease later in life. The molecular mechanisms remain largely elusive. Here, we conducted a genome-wide analysis to study the impact of antenatal hypoxia on DNA methylome and transcriptome profiling in foetal and adult offspring hearts. METHODS AND RESULTS Pregnant rats were treated with normoxia or hypoxia (10.5% O2) from Day 15 to Day 21 of gestation. Hearts were isolated from near-term foetuses and 5-month-old male and female offsprings, and DNA methylome and RNA-seq were performed. Methylome data shows a sharp dip in CpG methylation centred at the transcription start site (TSS). CpG islands (CGIs) and CpG island shores (CGSs) within 10 kb upstream of the TSS are hypomethylated, compared with CGIs and CGSs within gene bodies. Combining transcriptome, data indicate an inverse relation between gene expression and CpG methylation around the TSS. Of interest, antenatal hypoxia induces opposite changes in methylation patterns in foetal and adult hearts, with hypermethylation in the foetus and hypomethylation in the adult. Also, there is significant sex dimorphism of changes in gene expression patterns in the adult offspring heart. Notably, pathway analysis indicates that enrichment of inflammation-related pathways are significantly greater in the adult male heart than those in the female heart. CONCLUSION Our study provides an initial framework and new insights into foetal hypoxia-mediated epigenetic programming of pro-inflammatory phenotype in the heart development, linking antenatal stress, and developmental programming of heart vulnerability to disease later in life.
Immunoexpression of DNA fragmentation factor 40, DNA fragmentation factor 45, and B-cell lymphoma 2 protein in normal human endometrium and uterine myometrium depends on menstrual cycle phase and menopausal status

Introduction DNA fragmentation factors 40 and 45 (DFF40 and DFF45) are final executors of apoptosis, and B-cell lymphoma 2 (Bcl-2) is a well-recognized apoptosis inhibitor. We aimed to evaluate DFF40, DFF45 and Bcl-2 immunoexpression in the normal human endometrium with respect to the glandular and stromal layer and in uterine myometrium. Material and methods DFF40, DFF45, and Bcl-2 expression was assessed via immunohistochemistry in the endometrium and myometrium collected postmenopausally and premenopausally during the proliferative and secretory phases of the menstrual cycle. Results Compared to the myometrium and stroma, endometrial glands showed the highest DFF40 and DFF45 expression in pre- and postmenopausal specimens. DFF45, but not DFF40, glandular expression dependent on menstrual cycle phase and DFF40 and DFF45 scoring was significantly lower in postmenopausal specimens. Significantly higher Bcl-2 expression was observed in proliferative glandular endometrium compared to secretory and postmenopausal specimens. No cycle- or menopause-dependent changes were reported for stromal or myometrial DFF40, DFF45 or Bcl-2 expression. DFF40, DFF45 and Bcl-2 expression was independent of age, age at menarche and menopause, BMI, menstrual cycle and menses lengths, parity and gravidity. Conclusions The study provides important evidence regarding menstrual cycle-dependent changes in the expression of DFF40, DFF45 and Bcl-2 in the normal human endometrium, especially in the glandular layer, and shows that their levels are stable in the normal uterine myometrium.
HUBUNGAN SELF EFFICACY, MOTIVASI, DAN PROKRASTINASI AKADEMIK DENGAN PRESTASI BELAJAR MATEMATIKA SISWA KELAS VIII SMP SE-KECAMATAN KRATON YOGYAKARTA

This research aims to know the information abaut theÂ tendency of self efficacy, motivation, procrastination academic, and mathematics learningÂ achievement of student VIII grade SMP in subdistrict Kraton Yogyakarta and to determine the relationship of self efficacy, motivation, procrastination academic with mathematics learning achievement of student VIII grade SMP in subdistrict Kraton Yogyakarta either partially or simultaneously. This research was ex post facto. The population of this research were students VIII grade SMP in subdistrict Kraton Yogyakarta of 360 students. Â The research sample of 90 students was taken by proportional random sampling. Analysis using descriptive analysis and multiple regression analysis. The result of the data analysis in this research are : 1) self efficacy was medium; 2) motivation was high; 3) procrastination academic was medium; 4) mathematics learning achievement was medium; 5) simultaneously there was positive relationship between self efficacy and motivation also negative relationship between procrastination academic with mathematics learning achievement ( ; 6) there was positive relationship between self efficacy with mathematics learning achievement ; 7) there was positive relationship between motivation with mathematics learning achievement ; 8) there was negative between procrastination academic with mathematics learning achievement .
Picroside II attenuates hyperhomocysteinemia‐induced endothelial injury by reducing inflammation, oxidative stress and cell apoptosis

Picroside II (P‐II), one of the main active components of scrophularia extract, which have anti‐oxidative, anti‐inflammatory effects, but its effect on hyperhomocysteinemia (HHcy) induced endothelial injury remains to be determined. Here, we test whether P‐II protects HHcy‐induced endothelial dysfunction against oxidative stress, inflammation and cell apoptosis. In vitro study using HUVECs, and in hyperhomocysteinemia mouse models, we found that HHcy decreased endothelial SIRT1 expression and increased LOX‐1 expression, subsequently causing reactive oxygen species generation, up‐regulation of NADPH oxidase activity and NF‐κB activation, thereby promoting pro‐inflammatory response and cell apoptosis. Blockade of Sirt1 with Ex527 or siRNASIRT1 increased LOX‐1 expression, whereas overexpression of SIRT1 decreased LOX‐1 expression markedly. P‐II treatment significantly increased SIRT1 expression and reduced LOX‐1 expression, and protected against endothelial cells from Hcy‐induced oxidative injury, inflammation and apoptosis. However, blockade of SIRT1 or overexpression of LOX‐1 attenuated the therapeutic effects of P‐II. In conclusion, our results suggest that P‐II prevents the Hcy induced endothelial damage probably through regulating the SIRT1/LOX‐1 signaling pathway.
When Do Envy-Free Allocations Exist?

We consider a fair division setting in which m indivisible items are to be allocated among n agents, where the agents have additive utilities and the agents’ utilities for individual items are independently sampled from a distribution. Previous work has shown that an envy-free allocation is likely to exist when m = Ω (n log n) but not when m = n + o (n), and left open the question of determining where the phase transition from non-existence to existence occurs. We show that, surprisingly, there is in fact no universal point of transition— instead, the transition is governed by the divisibility relation between m and n. On the one hand, if m is divisible by n, an envy-free allocation exists with high probability as long as m ≥ 2n. On the other hand, if m is not “almost” divisible by , an envy-free allocation is unlikely to exist even when m = Θ(n log n)/log log n).
Cycle-consistency Training for End-to-end Speech Recognition

This paper presents a method to train end-to-end automatic speech recognition (ASR) models using unpaired data. Although the end-to-end approach can eliminate the need for expert knowledge such as pronunciation dictionaries to build ASR systems, it still requires a large amount of paired data, i.e., speech utterances and their transcriptions. Cycle-consistency losses have been recently proposed as a way to mitigate the problem of limited paired data. These approaches compose a reverse operation with a given transformation, e.g., text-to-speech (TTS) with ASR, to build a loss that only requires unsupervised data, speech in this example. Applying cycle consistency to ASR models is not trivial since fundamental information, such as speaker traits, are lost in the intermediate text bottleneck. To solve this problem, this work presents a loss that is based on the speech encoder state sequence instead of the raw speech signal. This is achieved by training a Text-To-Encoder model and defining a loss based on the encoder reconstruction error. Experimental results on the LibriSpeech corpus show that the proposed cycle-consistency training reduced the word error rate by 14.7% from an initial model trained with 100-hour paired data, using an additional 360 hours of audio data without transcriptions. We also investigate the use of text-only data mainly for language modeling to further improve the performance in the unpaired data training scenario.