Miracle-dz/UniFAR-FTUs huggingface dataset:
Hiatal Hernia: A Possible Trigger for Atrial Fibrillation

Atrial fibrillation is a commonly encountered clinical entity with various cardiovascular consequences. Common risk factors include alcohol abuse, hyperthyroidism, mitral stenosis, hypertension, diabetes mellitus, and coronary artery disease. Another risk factor, yet under scientific scrutiny, is hiatal hernia. This anatomical abnormality, due to its proximity to the heart and high prevalence in atrial fibrillation patients, has merited scientific investigation to determine if an association truly exists between this gastrointestinal pathology and atrial fibrillation. The case herein is of an 81-year-old hospitalized female with a hiatal hernia who was recorded to have recurrent episodes of atrial fibrillation in the absence of traditional risk factors for arrhythmogenesis.
Heavy Metal Leachability From Solid Waste Incinerator Ashes

The leachability of heavy metals in municipal solid waste (MSW) incinerator residues was evaluated using equilibrium leach tests and the sequential chemical extraction procedure. Incinerator bottom ash, boiler and economizer fly ashes were sampled from a full-scale two-stage combustion facility without pollution-control devices. Fly ashes were also collected from a pilot-plant scale, lime-based flue-gas scrubber system, connected to a mass burning incinerator facility. Generally, bottom ashes contained low to moderate concentrations of cadmium, copper, lead and zinc which are relatively insoluble under normal landfill leaching conditions. Fly ashes contained relatively moderate concentrations of cadmium and copper and much higher concentrations of lead and zinc which are readily available for leaching under normal landfill conditions. Metal leachability appears to be dependent upon metal speciation, the pH of the leaching medium and ash particle size.
Use of foreign EBVs in genetic evaluation : example of French EBVs conversion in the Canadian Swine Improvement Program

International evaluations and comparisons have been widely used in cattle breeding schemes for many years. In swine breeding programs, the use of foreign genes is less common, and few examples of international comparisons exist. Imports of animals and semen, and more recently, embryo transfers, allowed the use of French Large White and Landrace genes in Canada. At the same time, A major issue was that the imported boars or semen didn’t have Canadian breeding values before having progeny tested in Canada, which could take a long time, especially for sow productivity traits. To address this problem, an agreement was made between the French Pig Technical Institute and the Canadian Centre for Swine Improvement, to exchange EBVs for animals with evaluation results in both countries. Several methods, among those used for dairy cattle, were investigated in order to develop a suitable method to convert French EBVs into Canadian equivalents useful in the Canadian genetic evaluation system. The analysis included 136 boars with progeny in France and in Canada. Conversion formulas were computed regarding EBVs for number of piglets born per litter, age and backfat thickness at 100 kg. There is evidence for a growing interest in this kind of study, in order to improve the reliability and accuracy of swine genetic evaluations, in the context of growing international exchange of genetic material.
Delay of Airfoil Stall by Periodic Excitation

It was recently demonstrated that oscillatory blowing can delay separation from a symmetrical airfoil much more effectively than the steady blowing used traditionally for this purpose. Experiments carried out on different airfoils revealed that this flow depends on many parameters such as, the location of the blowing slot, the steady and oscillatory momentum coefficients of the jet, the frequency of imposed oscillations, and the shape and incidence of the particular airfoil. In airfoils equipped with slotted flaps, the flow is also dependent on the geometry of the slot and on the Reynolds number in addition to the flap deflection that is considered as a part of the airfoil shape. The incremental improvements in single element airfoil characteristics are generally insensitive to a change in Reynolds number, provided the latter is sufficiently large. The imposed oscillations do not generate large oscillatory lift nor do they cause a periodic meander of the c.p. C* C D = dp Ct =
On the Evalutation of Contact Temperature from Potential-Drop Measurements

The temperature of an electrical contact is usually evaluated from a measurement of the potential drop across the contact through the well-established relation f Tm V2 =8 ~ ~odT. · ' TO and p are, respectively, the thermal conductivity and the electrical resistivity of the junction material; To and Tm are, respectively, the temperature of the junction body and of the contact spot; and V is the potential drop. Experimental evidence is presented which indicates that this relation, and more generally classical Contact theory, is inapplicable to junctions where the contact spots are small (typically <0.05 µm in aluminum). The origin of this breakdown of the theory is explored.
High voltage DC shifted RF switch-mode power supply system design for gas lasers excitation

A prototype DC-to-high-voltage DC-shifted RF switch-mode converter was designed, fabricated, and used to excite a low-power CO/sub 2/ laser. A novel concept was used in designing the ferrite transformer which reduces the leakage inductance. A modified voltage multiplier design was used to produce the high-voltage DC-shifted RF. Converter performance analysis, laser efficiency measurements, and the effect of various converter output parameters on laser performance were obtained and are analyzed. <<ETX>>
Correcting Texts Generated by Transformers using Discourse Features and Web Mining

Recent transformer-based approaches to NLG like GPT-2 can generate syntactically coherent original texts. However, these generated texts have serious flaws: global discourse incoherence and meaninglessness of sentences in terms of entity values. We address both of these flaws: they are independent but can be combined to generate original texts that will be both consistent and truthful. This paper presents an approach to estimate the quality of discourse structure. Empirical results confirm that the discourse structure of currently generated texts is inaccurate. We propose the research directions to correct it using discourse features during the fine-tuning procedure. The suggested approach is universal and can be applied to different languages. Apart from that, we suggest a method to correct wrong entity values based on Web Mining and text alignment.
Neural Borrowing Detection with Monolingual Lexical Models

Identification of lexical borrowings, transfer of words between languages, is an essential practice of historical linguistics and a vital tool in analysis of language contact and cultural events in general. We seek to improve tools for automatic detection of lexical borrowings, focusing here on detecting borrowed words from monolingual wordlists. Starting with a recurrent neural lexical language model and competing entropies approach, we incorporate a more current Transformer based lexical model. From there we experiment with several different models and approaches including a lexical donor model with augmented wordlist. The Transformer model reduces execution time and minimally improves borrowing detection. The augmented donor model shows some promise. A substantive change in approach or model is needed to make significant gains in identification of lexical borrowings.
Multiple Captions Embellished Multilingual Multi-Modal Neural Machine Translation

Neural machine translation based on bilingual text with limited training data suffers from lexical diversity, which lowers the rare word translation accuracy and reduces the generalizability of the translation system. In this work, we utilise the multiple captions from the Multi-30K dataset to increase the lexical diversity aided with the cross-lingual transfer of information among the languages in a multilingual setup. In this multilingual and multimodal setting, the inclusion of the visual features boosts the translation quality by a significant margin. Empirical study affirms that our proposed multimodal approach achieves substantial gain in terms of the automatic score and shows robustness in handling the rare word translation in the pretext of English to/from Hindi and Telugu translation tasks.
Towards a Language Model for Temporal Commonsense Reasoning

Temporal commonsense reasoning is a challenging task as it requires temporal knowledge usually not explicit in text. In this work, we propose an ensemble model for temporal commonsense reasoning. Our model relies on pre-trained contextual representations from transformer-based language models (i.e., BERT), and on a variety of training methods for enhancing model generalization: 1) multi-step fine-tuning using carefully selected auxiliary tasks and datasets, and 2) a specifically designed temporal masked language model task aimed to capture temporal commonsense knowledge. Our model greatly outperforms the standard fine-tuning approach and strong baselines on the MC-TACO dataset.
Effective Bitext Extraction From Comparable Corpora Using a Combination of Three Different Approaches

Parallel sentences extracted from comparable corpora can be useful to supplement parallel corpora when training machine translation (MT) systems. This is even more prominent in low-resource scenarios, where parallel corpora are scarce. In this paper, we present a system which uses three very different measures to identify and score parallel sentences from comparable corpora. We measure the accuracy of our methods in low-resource settings by comparing the results against manually curated test data for English–Icelandic, and by evaluating an MT system trained on the concatenation of the parallel data extracted by our approach and an existing data set. We show that the system is capable of extracting useful parallel sentences with high accuracy, and that the extracted pairs substantially increase translation quality of an MT system trained on the data, as measured by automatic evaluation metrics.
Malta National Language Technology Platform: A vision for enhancing Malta’s official languages using Machine Translation

In this paper we introduce a vision towards establishing the Malta National Language Technology Platform; an ongoing effort that aims to provide a basis for enhancing Malta’s official languages, namely Maltese and English, using Machine Translation. This will contribute towards the current niche of Language Technology support for the Maltese low-resource language, across multiple computational linguistics fields, such as speech processing, machine translation, text analysis, and multi-modal resources. The end goals are to remove language barriers, increase accessibility, foster cross-border services, and most importantly to facilitate the preservation of the Maltese language.
Question answering in Natural Language: the Special Case of Temporal Expressions

Although general question answering has been well explored in recent years, temporal question answering is a task which has not received as much focus. Our work aims to leverage a popular approach used for general question answering, answer extraction, in order to find answers to temporal questions within a paragraph. To train our model, we propose a new dataset, inspired by SQuAD, a state-of-the-art question answering corpus, specifically tailored to provide rich temporal information by adapting the corpus WikiWars, which contains several documents on history’s greatest conflicts. Our evaluation shows that a pattern matching deep learning model, often used in general question answering, can be adapted to temporal question answering, if we accept to ask questions whose answers must be directly present within a text.
On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction

We constructed parsers for five non-English editions of Wiktionary, which combined with pronunciations from the English edition, comprises over 5.3 million IPA pronunciations, the largest pronunciation lexicon of its kind. This dataset is a unique comparable corpus of IPA pronunciations annotated from multiple sources. We analyze the dataset, noting the presence of machine-generated pronunciations. We develop a novel visualization method to quantify syllabification. We experiment on the new combined task of multilingual IPA syllabification and stress prediction, finding that training a massively multilingual neural sequence-to-sequence model with copy attention can improve performance on both high- and low-resource languages, and multi-task training on stress prediction helps with syllabification.
Current approaches to HIV vaccine development: a narrative review

The development of an effective vaccine to protect against HIV is a longstanding global health need complicated by challenges inherent to HIV biology and to the execution of vaccine efficacy testing in the context of evolving biomedical prevention interventions. This review describes lessons learnt from previous efficacy trials, highlights unanswered questions, and surveys new approaches in vaccine development addressing these gaps.
Research on helminths from Mexican amphibians: gaps, trends, and biases

Abstract We present a taxonomic, spatial, and thematic overview of the current state of knowledge on helminth parasites of Mexican amphibians. Sixty-six host species have been studied so far, representing 17.5% of the amphibian species distributed in Mexico. A total of 139 nominal species of helminths – 68 platyhelminths, 62 nematodes, three acanthocephalans, three annelids (hirudineans), and three arthropods (pentastomids) – have been recorded parasitizing these hosts. Most taxa found in larval stages have not been identified at the species level. The gastrointestinal nematode Aplectana itzocanensis exhibits the broadest host range, while the bladder fluke Gorgoderina attenuata and A. itzocanensis show the widest geographic distribution. Our analysis of helminthological studies evidenced gaps and biases on research efforts that have been devoted to relatively few host species, regions, and approaches. Most helminthological records come from two species, the cane toad Rhinella marina and the Montezuma's frog Lithobates montezumae, and most studies have focused on describing the helminth fauna of a host species in a particular location or on the description of new helminth species. The highest proportion of records corresponds to the Veracruzan biogeographic province, and helminth richness is significantly correlated with host richness and with total amphibian richness by biogeographic province. Only three provinces (Yucatan Peninsula, Pacific Lowlands, and Baja Californian) have positive, yet still low helminth species discovery effort. Based on our findings, we recommend pursuing research approaches unexplored in Mexico and we provide guidelines to improve research on helminths parasitizing amphibians.
MRE11 and UBR5 Co-Operate to Suppress RNF168-Mediated Fusion of Dysfunctional Telomeres

TRF2 is part of the shelterin complex that hides telomeric DNA ends and prevents the activation of the cNHEJ pathway that can lead to chromosomal fusion. TRF2, however, also actively suppresses the cNHEJ pathway by recruiting two proteins, MRE11 and UBR5. MRE11 binds BRCC3, which in turn deubiquitinates γH2AX deposited at exposed telomeric DNA ends and limits RNF168 recruitment to the telomere. UBR5, in contrast directly ubiquitinates and destroys RNF168. The loss of telomeric RNF168 in turn blocks the subsequent recruitment of 53BP1 and prevents the cNHEJ-mediated fusion of chromosomes with exposed telomeric DNA ends. Although MRE11 and UBR5 are both involved in the control of telomeric RNF168 levels and the chromosome fusion process, their relative contributions have not been directly addressed. To do so we genetically suppressed MRE11 and UBR5 alone or in combination in glioma cell lines which we previously showed contained dysfunctional telomeres that were dependent on TRF2 for suppression of telomeric fusion and monitored the effects on events associated with telomere fusion. We here show that while suppression of either MRE11 or UBR5 alone had minimal effects on RNF168 telomeric accumulation, 53BP1 recruitment, and telomeric fusion, their combined suppression led to significant increases in RNF168 and 53BP1 telomeric recruitment and telomeric fusion and eventually cell death, all of which were reversible by suppression of RNF168 itself. These results show that MRE11 and UBR5 co-operate to suppress fusion at dysfunctional telomeres.
Developmental Changes in Dynamic Functional Connectivity From Childhood Into Adolescence

The longitudinal study of typical neurodevelopment is key for understanding deviations due to specific factors, such as psychopathology. However, research utilizing repeated measurements remains scarce. Resting-state functional magnetic resonance imaging (MRI) studies have traditionally examined connectivity as ‘static’ during the measurement period. In contrast, dynamic approaches offer a more comprehensive representation of functional connectivity by allowing for different connectivity configurations (time varying connectivity) throughout the scanning session. Our objective was to characterize the longitudinal developmental changes in dynamic functional connectivity in a population-based pediatric sample. Resting-state MRI data were acquired at the ages of 10 (range 8-to-12, n = 3,327) and 14 (range 13-to-15, n = 2,404) years old using a single, study-dedicated 3 Tesla scanner. A fully-automated spatially constrained group-independent component analysis (ICA) was applied to decompose multi-subject resting-state data into functionally homogeneous regions. Dynamic functional network connectivity (FNC) between all ICA time courses were computed using a tapered sliding window approach. We used a k-means algorithm to cluster the resulting dynamic FNC windows from each scan session into five dynamic states. We examined age and sex associations using linear mixed-effects models. First, independent from the dynamic states, we found a general increase in the temporal variability of the connections between intrinsic connectivity networks with increasing age. Second, when examining the clusters of dynamic FNC windows, we observed that the time spent in less modularized states, with low intra- and inter-network connectivity, decreased with age. Third, the number of transitions between states also decreased with age. Finally, compared to boys, girls showed a more mature pattern of dynamic brain connectivity, indicated by more time spent in a highly modularized state, less time spent in specific states that are frequently observed at a younger age, and a lower number of transitions between states. This longitudinal population-based study demonstrates age-related maturation in dynamic intrinsic neural activity from childhood into adolescence and offers a meaningful baseline for comparison with deviations from typical development. Given that several behavioral and cognitive processes also show marked changes through childhood and adolescence, dynamic functional connectivity should also be explored as a potential neurobiological determinant of such changes.
A Mediation Model on How Conspiracy Beliefs Concerning the Corona-Crisis Are Related to Corona-Related Behaviours

Background: The endorsement of Conspiracy Beliefs concerning corona (CBc) may make people reject information from the general media, leading them to not follow recommendations on prevention behaviours, getting tested, and getting vaccinated. The aim of the present study was to understand the relationship between CBc and engaging in these corona-related behaviours. Method: Two samples of participants (N = 1,004 and N = 159) were recruited independently. Participants filled in a survey that assessed four indicators of the three behaviours, four general psychological determinants (e.g., the seriousness of COVID-19), five behaviour-specific psychological determinants (e.g., test reliability, vaccine effectiveness), and CBc. Results: The explained variances of the different models with regard to the four indicators of behaviour ranged from 3.9 to 75%. Mediation analyses using Hayes PROCESS model 4 showed significant mediation by general determinants in both samples, and mediation by several behaviour-specific determinants in one sample. Discussion: Conspiracy Beliefs concerning corona may lead to rejection of general media information, and this may lead to states of psychological determinants that do not stimulate to engage in prevention behaviours, testing, or vaccination. The present study shedS some light on how CBc could be related to corona-related behaviours.
Cerebral Hemodynamics and Carotid Atherosclerosis in Patients With Subcortical Ischemic Vascular Dementia

A growing body of evidence indicates that atherosclerosis is correlated with cerebral small vessel disease and contributes to cognitive decline. This study aimed to explore the characteristics and contributions of intracranial hemodynamics and carotid atherosclerosis to cognitive dysfunction in subjects with subcortical ischemic vascular dementia (SIVD). Notably, 44 patients with SIVD, 30 patients with Alzheimer’s disease (AD), and 30 healthy controls (HCs) were recruited from our longitudinal MRI study for AD and SIVD (ChiCTR1900027943). The cerebral mean flow velocity (MFV) and pulsatility index (PI) of both anterior and posterior circulations, artery plaque, and lumen diameter in carotid arteries were investigated using transcranial Doppler and carotid ultrasound, respectively. Their correlations with cognitive function were analyzed in patients with dementia. Decreased MFV and increased PI were found in patients with SIVD and AD. Patients with SIVD showed lower MFV and higher PI in the bilateral posterior cerebral arteries compared to patients with AD. Increases in lumen diameter, number of arteries with plaque, and total carotid plaque score were found in patients with SIVD. The Mini-Mental State Examination score was positively correlated with the MFV and negatively correlated with the PI of most major cerebral arteries, while it was negatively correlated with the lumen diameter of the common carotid artery, number of arteries with plaque, and total carotid plaque score in patients with dementia. There were also correlations between these parameters of some arteries and memory and executive function. Our results provide additional evidence suggesting that the pathological changes in macrovascular structure and function are correlated with cognitive impairment in dementia patients with SIVD and to a lesser extent AD.