Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive Reserve, Leisure Activity, and Neuropsychological Profile in the Early Stage of Cognitive Decline

In older adults with normal cognition, cognitive reserve (CR) is known to be associated with the neuropsychological profile. We investigated the association between comprehensive CR and detailed neuropsychological profile in the early stage of cognitive decline. Fifty-five participants with mild cognitive impairment or subjective cognitive decline completed the cognitive reserve index questionnaire (CRIq) that yielded total, education, working activity, and leisure time scores (CRI-Total, CRI-Education, CRI-Working activity, and CRI-Leisure time, respectively). Mini-mental state examination (MMSE) and detailed neuropsychological evaluation were performed. Psychiatric symptom scales were applied to measure depression, apathy, positive or negative affect, and quality of life. Correlation and linear regression analyses of the variables were performed. The effect of CR-Education, CRI-Working activity, and CRI-Leisure time on the composite cognitive score was determined using a multivariable regression model. We observed that for CRI-Total (B = 3.00, p = 0.005), CRI-Education (B = 3.39, p = 0.002), and CRI-Leisure time (B = 2.56, p = 0.015), CR correlated with MMSE scores, while only CRI-Leisure time associated with the naming ability (B = 2.20, p = 0.033) in the detailed neuropsychological test results of the participants. Multivariable regression model also indicated that among CRI subscores, CRI-Leisure time directly affects the composite cognitive score (β = 0.32, p = 0.011). We found that in the early stage of cognitive decline in older adults, comprehensive CR was associated with global cognition, and only leisure activity was identified to be associated with the detailed neuropsychological profile including naming ability. These results may imply the positive effect of leisure activity on cognitive function in the early stages of cognitive decline.
Simulating Indefinite Causal Order With Rindler Observers

Realization of indefinite causal order (ICO), a theoretical possibility that even causal relations between physical events can be subjected to quantum superposition, apart from its general significance for the fundamental physics research, would also enable quantum information processing that outperforms protocols in which the underlying causal structure is definite. In this paper, we start with a proposition that an observer in a state of quantum superposition of being at two different relative distances from the event horizon of a black hole, effectively resides in ICO space-time generated by the black hole. By invoking the fact that the near-horizon geometry of a Schwarzschild black hole is that of a Rindler space-time, we propose a way to simulate an observer in ICO space-time by a Rindler observer in a state of superposition of having two different proper accelerations. By extension, a pair of Rindler observers with entangled proper accelerations simulates a pair of entangled ICO observers. Moreover, these Rindler-systems might have a plausible experimental realization by means of optomechanical resonators.
Natural Stings: Selling Distrust About Vaccines on Brazilian YouTube

In this study, we investigate misinformation and disinformation (M&D) about vaccines using a case study approach to understand how M&D about vaccines circulate on YouTube in Portuguese, and who are the channels creating and disseminating this kind of content. The World Health Organization considered vaccine hesitation as one of the greatest threats to global health in 2019. Researchers associated this hesitation to a strengthening of the anti-vaccination movements, suggesting that social media is currently the main spreader of this position. YouTube increasingly becomes a matter of concern, since its recommendation system is identified as a promoter of misinformation and extreme content. Despite YouTube's statements, M&D about vaccines continue to be disseminated in videos in Portuguese, reaching a large audience. We found 52 videos containing M&D about vaccines. The main M&D were the claim of dangerous ingredients in vaccines, the defense of self-direction—freedom of choice, independent research—, the promotion of alternative health services, the myth that vaccines cause diseases, conspiracy theories, and the allegation of vaccine's severe collateral effects. We identified 39 brands advertising on 13 videos of our M&D sample. Although the YouTube Partner Program is an important source of income, the channels use different economic strategies, such as the selling of courses, and therapies and the use of fundraising platforms. We also found that alternative health channels spread distrust about traditional institutions to promote themselves as trusted sources for the audience and thereby profit with alternative health services.
A Mechanosensory Receptor TMC Regulates Ovary Development in the Brown Planthopper Nilaparvata lugens

Transmembrane channel-like (TMC) genes encode a family of evolutionarily conserved membrane proteins. Mutations in the TMC1 and TMC2 cause deafness in humans and mice. However, their functions in insects are is still not well known. Here we cloned three tmc genes, Nltmc3, Nltmc5, and Nltmc7 from brown planthoppers. The predicted amino acid sequences showed high identity with other species homologs and have the characteristic eight or nine transmembrane domains and TMC domain architecture. We detected these three genes in all developmental stages and examined tissues. Interestingly, we found Nltmc3 was highly expressed in the female reproductive organ especially in the oviduct. RNAi-mediated silencing of Nltmc3 substantially decreased the egg-laying number and impaired ovary development. Our results indicate that Nltmc3 has an essential role in the ovary development of brown planthoppers.
Photoperiod and Vernalization Control of Flowering-Related Genes: A Case Study of the Narrow-Leafed Lupin (Lupinus angustifolius L.)

Narrow-leafed lupin (Lupinus angustifolius L.) is a moderate-yielding legume crop known for its high grain protein content and contribution to soil improvement. It is cultivated under photoperiods ranging from 9 to 17 h, as a spring-sown (in colder locations) or as an autumn-sown crop (in warmer regions). Wild populations require a prolonged cold period, called vernalization, to induce flowering. The key achievement of L. angustifolius domestication was the discovery of two natural mutations (named Ku and Jul) conferring vernalization independence. These mutations are overlapping deletion variants in the promoter of LanFTc1, a homolog of the Arabidopsis thaliana FLOWERING LOCUS T (FT) gene. The third deletion, named here as Pal, was recently found in primitive germplasm. In this study, we genotyped L. angustifolius germplasm that differs in domestication status and geographical origin for LanFTc1 alleles, which we then phenotyped to establish flowering time and vernalization responsiveness. The Ku and Jul lines were vernalization-independent and early flowering, wild (Ku) lines were vernalization-dependent and late flowering, whereas the Pal line conferred intermediate phenotype. Three lines representing Ku, Pal, and Ku alleles were subjected to gene expression surveys under 8- and 16-h photoperiods. FT homologs (LanFTa1, LanFTa2, LanFTc1, and LanFTc2) and some genes selected by recent expression quantitative trait loci mapping were analyzed. Expression profiles of LanFTc1 and LanAGL8 (AGAMOUS-like 8) matched observed differences in flowering time between genotypes, highlighted by high induction after vernalization in the Ku line. Moreover, these genes revealed altered circadian clock control in Pal line under short days. LanFD (FD) and LanCRLK1 (CALCIUM/CALMODULIN-REGULATED RECEPTOR-LIKE KINASE 1) were negatively responsive to vernalization in Ku and Pal lines but positively responsive or variable in Ku, whereas LanUGT85A2 (UDP-GLUCOSYL TRANSFERASE 85A2) was significantly suppressed by vernalization in all lines. Such a pattern suggests the opposite regulation of these gene pairs in the vernalization pathway. LanCRLK1 and LanUGT85A2 are homologs of A. thaliana genes involved in the FLOWERING LOCUS C (FLC) vernalization pathway. Lupins, like many other legumes, do not have any FLC homologs. Therefore, candidate genes surveyed in this study, namely LanFTc1, LanAGL8, LanCRLK1, and LanUGT85A2, may constitute anchors for further elucidation of molecular components contributing to vernalization response in legumes.
Does Use of Backyard Resources Explain the Abundance of Urban Wildlife?

While urbanization is clearly contributing to biodiversity loss, certain wildlife assemblages can paradoxically be diverse and abundant in moderately developed areas. One hypothesis to explain this phenomenon is that abundant anthropogenic resources for wildlife (i.e., food and shelter) outweigh the costs associated with urbanization. To test this hypothesis, we used camera traps to measure mammal species richness, diversity, and relative abundance (i.e., detection rate) in 58 residential yards in Raleigh, North Carolina, focusing on six types of features that might be used as resources: animal feeding, vegetable gardens, compost piles, chicken coops, brushpiles, and water sources. We also placed cameras at random control sites within each yard and sampled forests in nearby suburban and rural areas for comparison. We fit mixed-effects Poisson models to determine whether yard features, yard-scale characteristics, or landscape-scale landcover predicted mammal relative abundance for eight species. We also tested if the relative abundance of native canid predators in yards was related to the number of prey (rodents and lagomorphs). Species richness, diversity, and relative abundance of most mammal species was higher in yards and suburban forests than in rural forests. Within a yard, purposeful feeding had the strongest effect on animal relative abundance, with eastern gray squirrels (Sciurus carolinensis) being the most common (32.3 squirrels/day at feeders; 0.55 at control sites; 0.29 in suburban forests; and 0.10 in rural forests). We observed species using (e.g., eating) most yard features, although canids were less likely than other taxa to use resources in yards. The presence of a yard feature did not strongly affect the abundance of species at the control site in the yard, suggesting the influence of these features was highly localized. The relative abundance of predators had a positive association with prey relative abundance, and predators were less common in yards with fences. These results demonstrate that there is high use of anthropogenic resources, especially supplemental feeding by urban wildlife, and this increase in prey species may then attract predators, which supports the hypothesis that use of supplemental food resources explains the abundance of urban wildlife.
Beyond Pairwise Interactions: The Totally Antisymmetric Part of the Bispectrum as Coupling Measure of at Least Three Interacting Sources

In this paper we make two contributions to the analysis of brain oscillations with CFC techniques. First, we introduce a new bispectral CFC measure which is selective to couplings between three or more brain sources. This measure can be derived from ordinary cross-bispectra by performing a total-antisymmetrization operation on them. Significant coupling values can then be attributed to at least three interacting signals. This selectivity to the number of sources can be helpful to test hypotheses on the number of brain sources involved in the generation of commonly observed brain oscillations, such as the alpha rhythm. In a second step we present the correct empirical distribution for the coupling measure, which is necessary to properly assess the significance of coupling results. More importantly however, this corrected statistic is not limited to our particular measure, but holds for all complex-valued coupling estimators. We illustrate how the very common misassumption of empirical normality of such estimators can lead to a systematic underestimation of p-values, the breakdown of multiple comparison control procedures and in consequence a drastic inflation of the number of false positives.
Identification and Functional Characterization of a Novel Immunomodulatory Protein From Morchella conica SH

A novel fungal immunomodulatory protein (FIP) was found in the precious medical and edible mushroom Morchella conica SH, defined as FIP-mco, which belongs to the FIP family. Phylogenetic analyses of FIPs from different origins were performed using Neighbor-Joining method. It was found that FIP-mco belonged to a new branch of the FIP family and may evolved from a different ancestor compared with most other FIPs. The cDNA sequence of FIP-mco was cloned and expressed in the yeast Pichia Pastoris X33. The recombinant protein of FIP-mco (rFIP-mco) was purified by agarose Ni chromatography and determined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and Western blot analysis. The protein rFIP-mco could significantly suppress the proliferation of A549 and HepG2 cells at the concentration of 15 and 5 μg/ml, respectively, and inhibited the migration and invasion of human A549 and HepG2 cells at the concentration of 15 and 30 μg/ml respectively in vitro. Further, rFIP-mco can significantly reduce the expression levels of TNF-α, IL-1β, and IL-6 in the THP1 cells (human myeloid leukemia mononuclear cells). In order to explore the potential mechanism of the cytotoxicity effect of rFIP-mco on A549 and HepG2 cells, cell cycle and apoptosis assay in the two cancer cells were conducted. The results demonstrated that G0/G1 to S-phase arrest and increased apoptosis may contribute to the proliferation inhibition by rFIP-mco in the two cancer cells. Molecular mechanism of rFIP-mco’s reduction effect on the inflammatory cytokines was also studied by suppression of the NF-κB signaling pathway. It showed that suppression of NF-κB signaling is responsible for the reduction of inflammatory cytokines by rFIP-mco. The results indicated the prospect of FIP-mco from M. conica SH as an effective and feasible source for cancer therapeutic studies and medical applications.
A Novel Amphibian Antimicrobial Peptide, Phylloseptin-PV1, Exhibits Effective Anti-staphylococcal Activity Without Inducing Either Hepatic or Renal Toxicity in Mice

In order to part address the problem of drug-resistant pathogens, antimicrobial peptides (AMPs) have been proposed as alternatives to traditional antibiotics. Herein, a novel phylloseptin peptide, named phylloseptin-PV1 (PPV1), is described from the defensive skin secretion of the Neotropical white-lined leaf frog, Phyllomedusa vaillantii. The peptide was synthesized by solid phase peptide synthesis (SPPS) and purified by RP-HPLC, prior to assessment of its biological activities. PPV1 not only demonstrated potent antimicrobial activity against planktonic ESKAPE microorganisms and the yeast, Candida albicans, but also inhibited and eradicated Staphylococcus aureus and MRSA biofilms. The antimicrobial mechanism was shown to include permeabilization of target cell membranes. The in vivo antimicrobial activity of the peptide was then evaluated using mice. PPV1 also exhibited antiproliferative activity against the cancer cell lines, H157, MCF-7, and U251MG, but had a lower potency against the normal cell line, HMEC-1. Although, the peptide possessed a moderate hemolytic action on mammalian red blood cells in vitro, it did not induce significant hepatic or renal toxicity in injected infected mice. These studies have thus found PPV1 to be a potent phylloseptin group AMP, which can effectively inhibit staphylococci, both in vitro and in vivo, without eliciting toxicity. These data thus provide support for further evaluation of PPV1 as a novel antimicrobial agent with therapeutic potential.
How does feeding meal affect growth of artificially reared East Friesian-cross dairy lambs?

Artificial rearing is routinely used in large-scale dairy sheep farms. One approach is to offer milk replacer (MR) and meal ad libitum to lambs. Our aim was to evaluate growth performance of female lambs in the first 12 weeks of rearing with (M) and without (NM) grain-based meal access (n=30/group) during four feeding periods. In period 1 (wk 0-3) lambs were offered MR and meal ad libitum, and in period 2 (wk 4-5) were transitioned outdoors onto pasture with continued access to MR and meal. Lambs were weaned off MR in period 3 (wk 6-10), and meal in period 4 (wk 10-12). The NM lambs received identical management but meal was excluded. A treatment-by-time interaction was found whereby NM lambs had lower average daily gain (ADG) (P<0.05) in periods 1 (376±6 vs. 414±8 g/day) and 3 (146±7 vs. 241±7 g/day), no difference in period 2 (P>0.05), and higher ADG in period 4 (157±18 vs. -55±18 g/day, P<0.05) than M lambs. There was no difference (P>0.05) in live weight by week 12, and all lambs survived. These results indicate when lambs fed MR ad libitum are offered unrestricted access to good-quality pasture before weaning, meal may not be required to achieve a similar live weight at 12 weeks.
Overexpression of MzASMT 1, a Gene From Malus zumi Mats, Enhances Salt Tolerance in Transgenic Tobacco

Melatonin, widely found in various plants as a new antioxidant, could protect plants from various biotic and/or abiotic stresses, including salt stress. MzASMT 1 (KJ123721), a gene from Malus zumi Mats, is a key enzyme required for melatonin synthesis. However, whether the overexpression of MzASMT 1 could regulate the synthesis of melatonin and improve the salt tolerance in tobacco remains unknown. In this study, the overexpression of MzASMT 1 in tobacco increased the melatonin content, and the transgenic lines owned higher salt tolerance capacity. The transgenic lines overexpressing MzASMT 1 exhibited lower degree of leaf wilting; much more fresh weight; higher plant height; longer root; higher relative water content (RWC) of leaves, stem, and root; and higher chlorophyll content and Fv/Fm, which makes transgenic lines better adapt to salt stress. The transgenic lines also had higher accumulation of proline, lower accumulation of malondialdehyde (MDA), and improved antioxidant systems, which protected plants from cell damage and oxidative stress due to excess reactive oxygen species (ROS) accumulation under salt treatment. The transcription of salt response genes was much more highly activated in transgenic lines than in wild type under salt stress. The above results contributed to the understanding of functions for MzASMT 1 in tobacco under salt stress and provided a new choice for the application of MzASMT 1 in improving plant salt tolerance.
The New Frontiers in Neurodegenerative Diseases Treatment: Liposomal-Based Strategies

In the last decade, the onset of neurodegenerative (ND) diseases is strongly widespread due to the age increase of the world population. Despite the intensive investigations boosted by the scientific community, an efficacious therapy has not been outlined yet. The drugs commonly used are only able to relieve symptom severity; following their oral or intravenous administration routes, their effectiveness is strictly limited due to their low ability to reach the Central Nervous System (CNS) overcoming the Blood Brain Barrier (BBB). Starting from these assumptions, the engineered-nanocarriers, such as lipid-nanocarriers, are suitable agents to enhance the delivery of drugs into the CNS due to their high solubility, bioavailability, and stability. Liposomal delivery systems are considered to be the ideal carriers, not only for conventional drugs but also for neuroprotective small molecules and green-extracted compounds. In the current work, the LP-based drug delivery improvements in in vivo applications against ND disorders were carefully assessed.
General Lexicon-Based Complex Word Identification Extended with Stem N-grams and Morphological Engines

This article introduces a CWI system developed to target the VYTEDU corpus, which consists of transcribed college classes in Spanish. With no in-house training data, the system presented relies on lexical complexity, based on the frequency of a general lexicon. The lexicon has been extended with stem n-grams, derived from its own dictionary entries, and a verbal morphological parser. In order to make the system sensitive to both the familiarity of technical terms within their domain and the depth of discussion in different course levels, the system uses document-based normalized frequency to filter out familiar technical terms from the CW candidate list. With three runs competing in the Lexicon Analysis Task, ALexS 2020, at IberLEF, the system developed achieved the highest F1, accuracy and precision scores of all nine methods submitted by five teams.
FACT2020: Factuality Identification in Spanish Text

In this article we present our proposal for the FACT (Factuality Analysis and Classification Task) challenge tasks 1 and 2. The objective of task1 is to create a system capable of classifying given events found in Spanish texts. Although we present several approaches, the best performing classifier takes an approach of recurrent neural networks trained with embeddings data about the event word and its surroundings, reporting a F1 macro score of 0.6. For task2, a simple rule-base modeling approach is used, reaching a F1 macro score of 0.84.
Using Embeddings and Bi-LSTM+CRF Model to Detect Tumor Morphology Entities in Spanish Clinical Cases

Extracting key concepts from electronic health records makes it easier to access and represent the information contained in them. The growing number of these documents and the complexity of clinical narrative makes it difficult to label them manually. This is why the development of systems capable of automatically extracting key information is of great interest. In this paper, we describe a deep learning architecture for the identification of named tumor morphology entities. The architecture consists of convolutional and bidirectional Long Short-Term Memory layers and a final layer based on Conditional Random Field. The proposed system (HULAT-UC3M) participated in CANTEMIST-NER and obtained a micro-F1 of 83.4%
Automatic ICD Code Classification with Label Description Attention Mechanism

We present our submission for the CANTEMIST (CANcer TExt Mining Shared Task – tumor named entity recognition) 2020 task [1]. We participated in track 3, which focuses on automatic eCIE-O-3.1 codes assignment (English version: ICD-O-3), an extreme multi-label classification (XMLC) problem. We developed a model which utilizes a BERT-like encoder and word-level attention mechanism between input clinical cases and textual descriptions of the labels. We found that our model predicted a wider variety of codes across the test set than our baseline, thereby capturing more low-resource labels. Our final submission achieved a mean average precision (MAP) of 39.4% and F1-micro of 26.8%.
UH-MatCom at eHealth-KD Challenge 2020

The eHealth-KD challenge hosted at IberLEF 2020 proposes a set of resources and evaluation scenarios to encourage the development of systems for the automatic extraction of knowledge from unstructured text. This paper describes the system presented by team UH-MatCom in the challenge. Several deep-learning models are trained and ensembled to automatically extract relevant entities and relations from plain text documents. State of the art techniques such as BERT, Bi-LSTM, and CRF are applied. The use of external knowledge sources such as ConceptNet is explored. The system achieved average results in the challenge, ranking fifth across all different evaluation scenarios. The ensemble method produced a slight improvement in performance. Additional work needs to be done for the relation extraction task to successfully benefit from external knowledge sources.