Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-183/96/182 Cluster Regulates the Development of Bovine Myoblasts through Targeting FoxO1

Simple Summary In this work, we identified that the miR-183/96/182 cluster was highly expressed in bovine embryonic muscle; meanwhile, it widely existed in other organizations. Functional assays indicated that the miR-183/96/182 cluster targets the FoxO1 gene to regulate the proliferation and differentiation of bovine myoblasts. Abstract Muscle development is an important factor affecting meat yield and quality and is coordinated by a variety of the myogenic genes and signaling pathways. Recent studies reported that miRNA, a class of highly conserved small noncoding RNA, is actively involved in regulating muscle development, but many miRNAs still need to be further explored. Here, we identified that the miR-183/96/182 cluster exhibited higher expression in bovine embryonic muscle; meanwhile, it widely existed in other organizations. Functionally, the results of the RT-qPCR, EdU, CCK8 and immunofluorescence assays demonstrated that the miR-183/96/182 cluster promoted proliferation and differentiation of bovine myoblast. Next, we found that the miR-183/96/182 cluster targeted FoxO1 and restrained its expression. Meanwhile, the expression of FoxO1 had a negative correlation with the expression of the miR-183/96/182 cluster during myoblast differentiation. In a word, our findings indicated that the miR-183/96/182 cluster serves as a positive regulator in the proliferation and differentiation of bovine myoblasts through suppressing the expression of FoxO1.
Behaviors of Water Intake, Hydration Status, and Related Hydration Biomarkers among Physically Active Male Young Adults in Beijing, China: A Cross-Sectional Study

Studies on the water intake of athletes in daily life are insufficient. The objective was to determine the water intake and hydration status among physically active male young adults. In this cross-sectional studies study, 111 physically active male young adults were recruited. The amount of daily total drinking fluid intake (TDF) among participants was recorded and evaluated in real time over 7 days using the “7-day 24-hour fluid intake questionnaire” (liq. In 7). The daily water intake from food (WFF) was calculated using the weighing, duplicate portion, and direct-drying method over 3 days. All urine samples over 3 days were collected, and urine biomarkers were determined. According to 24 h urine osmolality, the participants were divided into three groups with euhydration status, middle hydration, and hypo hydration statuses. Finally, 109 participants completed the study. The median daily total water intake (TWI), TDF, and WFF were 2701, ik1789, and 955 mL, respectively. Among participants, 17 participants (16%) were in euhydration status, 47 participants (43%) were in hypohydration, and 45 participants (41%) were in middle hydration. There were statistical significances in the 24 h urine volume, osmolality, urine specific gravity, and concentrations of K, Na, and Cl in different hydration statuses (χ2 = 28.212, P < 0.01; χ2 = 91.341, P < 0.01; χ2 = 47.721, P < 0.01; χ2 = 41.548, P < 0.01; χ2 = 46.863, P < 0.01; and χ2 = 40.839, P < 0.01). Moderate-intensity correlations were found between the TDF and 24 h urine volume, 24 h urine osmolality, 24 h urine Na concentration, morning urine osmolality, and morning urine Na concentration (r = 0.408, P < 0.01; r = -0.378, P < 0.01; r = −0.325, P < 0.01; r = −0.344, P < 0.01; and r = −0.329, P < 0.01). There were also moderate-intensity correlations between the TDF and 24 h urine osmolality, morning urine osmolality, and morning urine Na concentration (r = −0.365, P < 0.01; r = −0.371, P < 0.01; and r = −0.322, P = 0.01). Increased and higher moderate-intensity correlations were found between plain water and 24 h urine volume, 24 h urine osmolality, 24 h urine K and Na concentration, morning urine osmolality, and morning urine Na concentration (r = 0.374, P < 0.01; r = −0.520, P < 0.01; r = −0.312,P < 0.01; r = −0.355, P < 0.01; r = −0.446, P < 0.01; and r = −0.378, P < 0.01). Insufficient water intake and hypohydration were common among physically active male young adults. The amount and type of water intake were correlated with hydration status and urine biomarkers. The results could provide scientific and accurate references for the development of recommendations on water intake for athletes.
Um Algoritmo de Gerenciamento de Retransmissão em Nível de Aplicação para redes LoRaWAN

A Internet das Coisas (IoT), conceito relacionado à conexão de objetos com a Internet, permite desenvolver diferentes tipos de aplicações em diversas áreas. A tecnologia sem fio LoRa e seu protocolo LoRaWAN formam uma importante infraestrutura de comunicação para aplicações IoT que requerem longo alcance e baixo consumo energético, como sensores localizados em áreas urbanas e rurais. No entanto, o padrão LoRa está sujeito a interferências em seu sinal. Dessa forma, não há qualquer garantia de que os dados transmitidos pelos dispositivos finais IoT serão de fato recebidos pelos pontos de acesso. Esse trabalho propõe uma abordagem em nível de aplicação para gerenciar a retransmissão de pacotes. Em experimentos com envio de 150 pacotes de dados se obteve 100% de sucesso no recebimento dos mesmos após as retransmissão.
Diagnostic Odyssey in an Adult Patient with Ophthalmologic Abnormalities and Hearing Loss: Contribution of RNA-Seq to the Diagnosis of a PEX1 Deficiency

Peroxisomal biogenesis disorders (PBDs) are a heterogeneous group of genetic diseases. Multiple peroxisomal pathways are impaired, and very long chain fatty acids (VLCFA) are the first line biomarkers for the diagnosis. The clinical presentation of PBDs may range from severe, lethal multisystemic disorders to milder, late-onset disease. The vast majority of PBDs belong to Zellweger Spectrum Disordes (ZSDs) and represents a continuum of overlapping clinical symptoms, with Zellweger syndrome being the most severe and Heimler syndrome the less severe disease. Mild clinical conditions frequently present normal or slight biochemical alterations, making the diagnosis of these patients challenging. In the present study we used a combined WES and RNA-seq strategy to diagnose a patient presenting with retinal dystrophy as the main clinical symptom. Results showed the patient was compound heterozygous for mutations in PEX1. VLCFA were normal, but retrospective analysis of lysosphosphatidylcholines (LPC) containing C22:0–C26:0 species was altered. This simple test could avoid the diagnostic odyssey of patients with mild phenotype, such as the individual described here, who was diagnosed very late in adult life. We provide functional data in cell line models that may explain the mild phenotype of the patient by demonstrating the hypomorphic nature of a deep intronic variant altering PEX1 mRNA processing.
Thermodynamic phases and mesonic fluctuations in a chiral nucleon-meson model

Studies of the QCD phase diagram must properly include nucleonic degrees of freedom and their thermodynamics in the range of baryon chemical potentials characteristic of nuclear matter. A useful framework for incorporating relevant nuclear physics constraints in this context is a chiral nucleon-meson effective Lagrangian. In the present paper, such a chiral nucleon-meson model is extended with systematic inclusion of mesonic fluctuations using the functional renormalization group approach. The resulting description of the nuclear liquid-gas phase transition shows a remarkable agreement with three-loop calculations based on in-medium chiral effective field theory. No signs of a chiral first-order phase transition and its critical endpoint are found in the region of applicability of the model, at least up to twice the density of normal nuclear matter and at temperatures T<100 MeV. Fluctuations close to the critical point of the first-order liquid-gas transition are also examined with a detailed study of the chiral susceptibility.
Developing Disposable EEG Cap for Infant Recordings at the Neonatal Intensive Care Unit

Long-term EEG monitoring in neonatal intensive care units (NICU) is challenged with finding solutions for setting up and maintaining a sufficient recording quality with limited technical experience. The current study evaluates different solutions for the skin–electrode interface and develops a disposable EEG cap for newborn infants. Several alternative materials for the skin–electrode interface were compared to the conventional gel and paste: conductive textiles (textured and woven), conductive Velcro, sponge, super absorbent hydrogel (SAH), and hydro fiber sheets (HF). The comparisons included the assessment of dehydration and recordings of signal quality (skin interphase impedance and powerline (50 Hz) noise) for selected materials. The test recordings were performed using snap electrodes integrated into a forearm sleeve or a forehead band along with skin–electrode interfaces to mimic an EEG cap with the aim of long-term biosignal recording on unprepared skin. In the hydration test, conductive textiles and Velcro performed poorly. While the SAH and HF remained sufficiently hydrated for over 24 h in an incubator-mimicking environment, the sponge material was dehydrated during the first 12 h. Additionally, the SAH was found to have a fragile structure and was electrically prone to artifacts after 12 h. In the electrical impedance and recording comparisons of muscle activity, the results for thick-layer HF were comparable to the conventional gel on unprepared skin. Moreover, the mechanical instability measured by 1–2 Hz and 1–20 Hz normalized relative power spectrum density was comparable with clinical EEG recordings using subdermal electrodes. The results together suggest that thick-layer HF at the skin–electrode interface is an effective candidate for a preparation-free, long-term recording, with many advantages, such as long-lasting recording quality, easy use, and compatibility with sensitive infant skin contact.
N ORM S AGE : Conversation-Grounded Multi-Lingual Multi-Cultural Norm Discovery with Self-Verification On-the-Fly

Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions. We introduce N ORM S AGE 1 , a framework for addressing the novel task of conversation-grounded multi-lingual, multi-cultural norm discovery, based on language model prompting and self-verification. N ORM - S AGE leverages the expressiveness and implicit knowledge of the pretrained GPT-3 language model backbone (Brown et al., 2020a), to elicit knowledge about norms through directed questions representing the norm discovery task and conversation context. It further addresses the risk of language model hallucination with a self-verification mechanism ensuring that the norms discovered are correct and are substantially grounded to their source conversations. Evaluation results show that our approach discovers significantly more relevant and insightful norms for conversations on-the-fly compared to baselines ( ≥ 10 + % in Likert scale rating). The norms discovered from Chinese conversation are also comparable to the norms discovered from English conversation in terms of insightfulness and correctness ( ≤ 3 % difference). In addition, the culture-specific norms are promising quality, allowing for 80% accuracy in culture pair human identification. Finally, our grounding process in norm discovery self-verification can be extended for instantiating the adherence and violation of any norm for a given conversation on-the-fly, with explainability and transparency. N ORM S AGE achieves an AUC of 95.4% in grounding, with natural language explanation matching human-written quality.
Superconductors with Topological Order and their Realization in Josephson Junction Arrays

We will describe a new superconductivity mechanism, proposed by the authors in [1], which is based on a topologically ordered ground state rather than on the usual Landau mechanism of spontaneous symmetry breaking. Contrary to anyon superconductivity it works in any dimension and it preserves P-and T-invariance. In particular we will discuss the low-energy effective field theory, what would be the Landau-Ginzburg formulation for conventional superconductors.
The Impact of Water-Soluble Chitosan on the Inhibition of Crystal Nucleation of Alpha-Mangostin from Supersaturated Solutions

The use of an amorphous drugs system to generate supersaturated solutions is generally developed to improve the solubility and dissolution of poorly soluble drugs. This is because the drug in the supersaturation system has a high energy state with a tendency to precipitate. In the amorphous solid dispersion (ASD) formulation, it was discovered that polymer plays a critical role in inhibiting nucleation or crystal growth of the drugs. Therefore, this study aimed to evaluate the crystallization inhibition of water-soluble chitosan (WSC) on nucleation as well as crystal growth from alpha-mangostin (AM) and elucidate its inhibition mechanism in the supersaturated solutions. During the experiment, WSC was used as a polymer to evaluate its ability to inhibit AM nucleation. The interaction between WSC and AM was also estimated using FT-IR, NMR, and in silico study. The result showed that in the absence of polymer, the concentration of AM rapidly decreased due to the precipitation in one minute. Meanwhile, the addition of WSC effectively inhibited AM crystallization and maintained a supersaturated state for the long term. FT-IR measurement also revealed that the shift in the amine primer of WSC occurred because of the interaction between WSC and AM. In the 1H NMR spectra, the proton peaks of WSC showed an upfield shift with the presence of AM, indicating the intermolecular interactions between AM and WSC. Moreover, in silico study revealed the hydrogen bond interaction between the carbonyl group of AM with hydrocarbon groups of WSC. This indicated that WSC interacted with AM in the supersaturated solution and suppressed their molecular mobility, thereby inhibiting the formation of the crystal nucleus. Based on these results, it can be concluded that the interaction between drug polymers contributed to the maintenance of the drug supersaturation by inhibiting both nucleation and growth.
Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI

A long calibration procedure limits the use in practice for a motor imagery (MI)-based brain-computer interface (BCI) system. To tackle this problem, we consider supervised and semisupervised transfer learning. However, it is a challenge for them to cope with high intersession/subject variability in the MI electroencephalographic (EEG) signals. Based on the framework of unsupervised manifold embedded knowledge transfer (MEKT), we propose a supervised MEKT algorithm (sMEKT) and a semisupervised MEKT algorithm (ssMEKT), respectively. sMEKT only has limited labelled samples from a target subject and abundant labelled samples from multiple source subjects. Compared to sMEKT, ssMEKT adds comparably more unlabelled samples from the target subject. After performing Riemannian alignment (RA) and tangent space mapping (TSM), both sMEKT and ssMEKT execute domain adaptation to shorten the differences among subjects. During domain adaptation, to make use of the available samples, two algorithms preserve the source domain discriminability, and ssMEKT preserves the geometric structure embedded in the labelled and unlabelled target domains. Moreover, to obtain a subject-specific classifier, sMEKT minimizes the joint probability distribution shift between the labelled target and source domains, whereas ssMEKT performs the joint probability distribution shift minimization between the unlabelled target domain and all labelled domains. Experimental results on two publicly available MI datasets demonstrate that our algorithms outperform the six competing algorithms, where the sizes of labelled and unlabelled target domains are variable. Especially for the target subjects with 10 labelled samples and 270/190 unlabelled samples, ssMEKT shows 5.27% and 2.69% increase in average accuracy on the two abovementioned datasets compared to the previous best semisupervised transfer learning algorithm (RA-regularized common spatial patterns-weighted adaptation regularization, RA-RCSP-wAR), respectively. Therefore, our algorithms can effectively reduce the need of labelled samples for the target subject, which is of importance for the MI-based BCI application.
Massive Breast Intraductal Papilloma Undiagnosed After Several Core Needle Biopsies: A Case Report

Background: Patients with breast Intraductal Papilloma (IDP) and atypical ductal hyperplasia have an increased risk for breast cancer. Core Needle Biopsy (CNB) plays a significant role in inchoate diagnosis of atypical IDP. However, the standard procedure of CNB may be unable to provide definite diagnosis of a complicated large mass. This is the first report of the largest case of peripheral atypical IDP with ductal epithelial atypical hyperplasia and hemorrhage necrosis. The mass grew larger, without a clear diagnosis. Herein, we documented our recommendations for the treatment of a large breast mass. 1.2. Case Summary: A 74-year-old Chinese female had a palpable left breast mass for two years, which was enlarging in the past one month. The patient had periodic breast check-ups in a reputed hospital. However, the ultrasound examination and four CNBs of the breast mass did not provide a clear diagnosis, besides non-lactating mastitis. However the mass was finally diagnosed as an atypical IDP after intraoperative pathology. The patient recovered well after the lumpectomy. Conclusion: When obtaining the sample from cystic tissue during CNB, the needle should take the core of the mass as well as the surrounding wall of the cyst. Clear diagnosis is important for further treatment. Large breast IDP in elderly may develop into breast cancer, so we recommend that lumpectomy is necessary rather than periodic check-ups for these patient.
Adolescent Perceptions of Maternal and Paternal Autonomy Granting and Psychological Control in Predicting Anxiety and Depression

Abstract Employing existing adolescent-report measures of perceptions of parenting corresponding to autonomy granting as the promotion of independence (PI), the promotion of volitional functioning (PVF), and psychological control, we observed, amongst 97 adolescents, aged 13–17 years, that perceptions of maternal and paternal PVF were significantly negatively associated with both anxiety and depression, whereas PI was significantly associated with only anxiety (and not depression) for only perceptions of maternal (and not paternal) parenting. Perceptions of both maternal and paternal PVF accounted for unique variance in anxiety beyond that accounted for by PI; only perceptions of maternal (not paternal) PVF accounted for unique variance in depression. Perceptions of maternal and paternal controlling parenting accounted for unique variance in depression but not anxiety, suggesting that adolescent anxiety might be more strongly related to perceived parental PVF and adolescent depression to perceived psychological control. Finally, parenting correlates of PVF, PI, and psychological control differed for mothers and fathers of adolescents.
A General Learning Theory and Its Application to the Acquisition of Proof Skills in Geometry.

Abstract : Generating a proof in geometry is analyzed into the stages of proof planning and proof generation. This report focuses on the processes of proof planning. In this stage the student searches for a proof tree which relates the givens to what is to be proven. This search is performed by operators that reason forward from the givens and that reason backwards from the to-be-proven statement. We discuss three types of learning which underlie this search. There is acquiring the operators in procedural form, learning to represent the problem in a way the operators can apply, and tuning the operators so that they will apply more appropriately. The paper focuses discussion on the first and third. The mechanisms underlying the first process are composition and instantiation. They transform information processing from interpretative application of procedural knowledge. The mechanism underlying knowledge tuning are analogy, generalization, discrimination, and composition. They serve to add further constraints to the productions that embody these rules. (Author)
The Fixpoint Bounded-Variable Queries are PSPACE-Complete

We study complexity of the evaluation of fixpoint bounded-variable queries in relational databases. We exhibit a finite database such that the problem whether a closed fixpoint formula using only 2 individual variables is satisfied in this database is PSPACE-complete. This clarifies the issues raised by Moshe Vardi in [Var95]. We study also the complexity of query evaluation for a number of restrictions of fixpoint logic. In particular we exhibit a sublogic for which the upper bound postulated by Vardi holds.
Algorithms for fuzzy clustering : methods in c-means clustering with applications

BasicMethods for c-Means Clustering. - Variations and Generalizations - I. - Variations and Generalizations - II. - Miscellanea. - Application to Classifier Design. - Fuzzy Clustering and Probabilistic PCA Model. - Local Multivariate Analysis Based on Fuzzy Clustering. - Extended Algorithms for Local Multivariate Analysis.
Analisando as emoções dos tweets relacionadas à Covid-19 no Rio de Janeiro

Este trabalho tem como objetivo analisar postagens de tweets relacionados à Covid-19 para mostrar quais foram as emoções predominantes dos usuários. Para isso coletamos tweets relacionados ao Rio de Janeiro e produzimos análises estatísticas e classificadores de emoções. Além disso, o artigo também traz insights sobre os assuntos discutidos pelos usuários e como as emoções mudaram de acordo com eventos específicos. As ferramentas aqui desenvolvidas ajudam a compreender os comportamentos e emoções dos usuários do Twitter, resultando em evidências que podem ser úteis em situações catastróficas semelhantes.
Do protests influence environmental attitudes? Evidence from Extinction Rebellion

Protests are frequently used to raise public awareness of environmental challenges and increase support for pro-environmental behavior and policy. In this paper we examine the influence of protests on environmental attitudes, focusing on Extinction Rebellion’s April 2019 campaign of civil disobedience in the UK. Using individual-level survey data collected around the time of the protest, we exploit its exogeneity to the timing of survey response, to compare attitudes towards sustainable lifestyles, perceptions of own environmental impact, support for pro-environmental policy and behavior, and views about the severity and imminence of environmental crises, before and after the protest. There is evidence that the protest is related to lower probability of opposing pro-environmental behavior and policy, and lower willingness to pay a premium for environmentally friendly consumption. We do not find evidence that the protest alienated the public from sustainable lifestyles, influenced perceptions of personal environmental impact, or views about the imminence and severity of environmental crises. Results suggest the need for systematic study of the impact of environmental protests on the general public’s environmental attitudes and behaviors.
The frequency of winter Chinooks in Alberta

Abstract A study was made of winter temperatures to determine the frequency of chinook days in Alberta. The resulting pattern shows a maximum frequency along a line just east of the front range of the mountains, with the frequency decreasing slowly eastward. But a careful analysis of the Calgary‐Red Deer‐Drumheller triangle shows that the frequency is influenced by local topography and that the warm air at times overrides a pool of cold air in a valley to appear at high elevations to the east.