Miracle-dz/UniFAR-FTUs huggingface dataset:
Opinion dynamics in social networks under competition: the role of influencing factors in consensus-reaching

The rapid development of information technology and social media has provided easy access to the vast data on individual preferences and social interactions. Despite a series of problems, such as privacy disclosure and data sensitivity, it cannot be denied that this access also provides beneficial opportunities and convenience for campaigns involving opinion control (e.g. marketing campaigns and political election). The profitability of opinion and the finiteness of individual attention have already spawned extensive competition for individual preferences on social networks. It is necessary to investigate opinion dynamics over social networks in a competitive environment. To this end, this paper develops a novel social network DeGroot model based on competition game (DGCG) to characterize opinion evolution in a competitive opinion dynamics. Social interactions based on trust relationships are captured in the DGCG model. From the model, we then obtain equilibrium results in a stable state of opinion evolution. We also analyse what role relevant factors play in the final consensus and competitive outcomes, including the resource ratio of both contestants, initial opinions, self-confidence and network structure. Theoretical analyses and numerical simulations show that these factors can significantly sway the consensus and even reverse competition outcomes.
Recent advances and future directions in macro-finance: macroeconomic conditions and corporate decisions

A decade after the 2007–2009 financial crisis, the covid-19 pandemic causes disruptive economic conditions and its uncertain nature makes the formulation of macroeconomic policy response challenging. Meanwhile, extreme weather and natural disasters linked to climate change become more frequent and adversely affect the economy. These challenges highlight the importance of better understanding the effects of macroeconomic conditions on corporate decisions. This article reviews the related macro-finance literature and introduces articles included in this special issue on this theme. In the end, we suggest possible future research directions.
Different heat treatments and sealing effect on the nutritive value of Lucerne hay

Abstract This study investigated the comparative effects of conventional hot-air oven heating (CHO), microwave heating (MW) and sealing effect on the nutritive value of lucerne hay. Equivalent energy (125 J.g−1) was applied with a 1.1 kW of MW oven for 60 seconds (s) or a 3.06 kW CHO oven for 350 s. The required equivalent energy level was measured based on a preliminary calibration trial. Two heating method (CHO and MW) and sealing condition (SC) applied as treatment factors in this study. A two-way analysis of variance (P < 0.05) was used to measure the effect of different factors on some properties of lucerne hay. The dry matter (DM) percentage of lucerne hay was increased when MW treatments were applied on both sealed and non-sealed lucerne hay compared with the control. Both heating method and their interaction with SC had negative effects on crude protein (CP) percentage. DM digestibility (DMD) and Digestible organic matter in the DM (DOMD) were decreased by 9% and 5%, respectively, in the sealed MW group, compared with the sealed control. Neutral detergent fibre % also increased by 6% in the sealed MW group, compared with the sealed control group. However, no differences in acid detergent fibre % due to any heating method and/or SC were observed in this study. The mechanisms behind these changes require further exploration.
Cultivating Community College Pathways to STEM Leadership: Examining the Relationships Between Gender, Upward Transfer, and Students’ Computing Leadership Identity

Objective: Upward transfer pathways are an important mechanism for advancing gender equity in STEM. Yet, little is known about how students access lucrative STEM careers and leadership positions via community colleges. This study explores the factors that may promote computing leadership identity among upward transfer students, focusing specifically on gender differences in upward transfer computing student experiences. Methods: This study relies on longitudinal survey data from N = 1,955 computing majors across 15 universities in the United States. I used linear regression with tests of two- and three-way interaction terms to examine how factors associated with computing leadership identity might differ by upward transfer student status and gender. Results: Findings highlight how faculty mentorship, peer support, and involvement in student groups might shape leadership identity among all computing students. Other findings show that time spent working for pay is positively associated with leadership identity for non-transfers but negatively associated with leadership identity for upward transfer students. Significant three-way interactions show that parent career and sense of belonging in computing are uniquely associated with leadership identity for upward transfer women. Conclusions: This study identifies contextual factors that are uniquely associated with computing leadership identity for upward transfer students, while identifying ways in which institutions can increase upward transfer students’ access to college experiences that are positively associated with leadership identity for all students. Future directions for research are discussed, including opportunities for researchers to test the impact of specific interventions to promote leadership identity, aspirations, and behaviors for upward transfer students.
De Novo RNA Tertiary Structure Prediction at Atomic Resolution Using Geometric Potentials from Deep Learning

Experimental characterization of RNA structure remains difficult, especially for non-coding RNAs that are critical to many cellular activities. We developed DeepFoldRNA to predict RNA structures from sequence alone by coupling deep self-attention neural networks with gradient-based folding simulations. The method was tested on two independent benchmark datasets from Rfam families and RNA-Puzzle experiments, where DeepFoldRNA constructed models with an average RMSD=2.69 Å and TM-score=0.743, which outperformed state-of-the-art methods and the best models submitted from the RNA-Puzzles community by a large margin. On average, DeepFoldRNA required ~1 minute to fold medium-sized RNAs, which was ~350-4000 times faster than the leading Monte Carlo simulation approaches. These results demonstrate the major advantage of advanced deep learning techniques to learn more accurate information from evolutionary profiles than knowledge-based potentials derived from simple statistics of the PDB library. The high speed and accuracy of the developed method should enable large-scale atomic-level RNA structure modeling applications.
Generating parallel representations of position and identity in the olfactory system

Sex pheromones are key social signals in most animals. In Drosophila a dedicated olfactory channel senses a male pheromone, cis-vaccenyl acetate (cVA) that promotes female courtship while repelling males. Here we show that flies use separate cVA processing streams to extract qualitative and positional information. cVA olfactory neurons are sensitive to concentration differences in a 5 mm range around a male. Second-order projection neurons detect inter-antennal differences in cVA concentration, encoding the angular position of a male. We identify a circuit mechanism increasing left-right contrast through an interneuron which provides contralateral inhibition. At the third layer of the circuit we identify neurons with distinct response properties and sensory integration motifs. One population is selectively tuned to an approaching male with speed-dependent responses. A second population responds tonically to a male’s presence and controls female mating decisions. A third population integrates a male taste cue with cVA; only a simultaneous presentation of both signals promotes female mating via this pathway. Thus the olfactory system generates a range of complex percepts in discrete populations of central neurons that allow the expression of appropriate behaviors depending on context. Such separation of olfactory features resembles the mammalian what and where visual streams. Highlights cVA male pheromone has a 5 mm signaling range, activating two parallel central pathways Pheromone-sensing neurons have spatial receptive fields sharpened by contralateral inhibition Position (where) and identity (what) are separated at the 3rd layer of cVA processing Integrating taste and cVA in sexually dimorphic aSP-g controls female receptivity
High- and Low-Frequency Deep Brain Stimulation in the Subthalamic Nucleus differentially modulate Response Inhibition and Action Selection in Parkinson’s Disease

Background While deep brain stimulation (DBS) in the subthalamic nucleus (STN) improves motor functions in Parkinson’s disease (PD), it has also been associated with increased impulsivity. Methods A combined approach of eye-tracking and high-density EEG was used to investigate how high- and low-frequency DBS impact impulsive actions in the antisaccade task in a cohort of ten persons with PD. Computational modelling of the behavioral outcomes allowed a nuanced insight into the effect of DBS on response inhibition and action selection processes. Results: Against our expectations, both 130 Hz- and 60 Hz-DBS improved response inhibition as both resulted in a reduced rate of early reflexive errors. Correspondingly, DBS with both frequencies led to increased desynchronization of beta power during the preparatory period which may be a correlate of anticipatory activation in the oculomotor network. Low-frequency DBS additionally was associated with increased midfrontal theta power, an established marker of cognitive control. While higher midfrontal theta power predicted longer antisaccade latencies in off-DBS state on a trial-by-trial basis, 130 Hz-DBS reversed this relationship. As informed by the computational model, 130 Hz-DBS further led to a shift in the speed-accuracy trade-off causing an acceleration and error-proneness of actions later in the trial. Conclusions Our results disentangle the impact of DBS on early and late impulsive actions. Only 130 Hz-DBS may disrupt theta-mediated cognitive control mechanisms via medial frontal – STN pathways that are involved in delaying action selection. 60 Hz-DBS may provide beneficial effects on response inhibition without the detrimental effect on action selection seen with 130 Hz-DBS. Funding This study was supported by the SUCCESS program of Philipps-University Marburg (JW), the Hessian Ministry of Sciences and the Arts, clusterproject: The Adaptive Mind – TAM (FB / AK) and the German Research Foundation (DFG). International Research Training Group 1901 (FB / AK)
Cysteine restriction‐specific effects of sulfur amino acid restriction on lipid metabolism

Decreasing dietary intake of methionine exerts robust anti-adiposity effects in rodents but modest effects in humans. Since cysteine can be synthesized from methionine, animal diets are formulated by decreasing methionine and eliminating cysteine. Such diets exert both methionine restriction (MR) and cysteine restriction (CR), i.e., sulfur amino acid restriction (SAAR). Contrarily, human diets used in clinical studies did not eliminate cysteine and thus might have exerted only MR. Epidemiological studies positively correlate body adiposity with plasma cysteine but not with methionine, suggesting that CR, but not MR, is responsible for the antiadiposity effects of SAAR in rodents. Whether this is true, and if so, the underlying mechanisms are unknown. Using multiple diets with variable concentrations of methionine and cysteine, we demonstrate that the anti-adiposity effects of SAAR are due to CR. CR increased serinogenesis (serine biosynthesis from non-glucose substrates) by diverting substrates from glyceroneogenesis, essential for fatty acid/triglyceride cycling. Molecular data suggest that the CR results in glutathione depletion, which induces Nrf2 and downstream targets Phgdh (the serine biosynthetic enzyme) and Pepck-M. Using multiple mouse models, we show that the magnitude of SAAR-induced changes in molecular markers depends on dietary fat concentration (60 fat>10% fat), gender (males>females), and age-at-onset (young>adult). Our findings are translationally relevant as we found a negative correlation of plasma serine with triglycerides and metabolic syndrome criteria in a cross-sectional epidemiological study. SAAR-like diets with high polyunsaturated fatty acids increased plasma serine in a short-term human feeding study. Serinogenesis might be a potential target to correct hypertriglyceridemia.
The AIRE G228W mutation disturbs the interaction of AIRE with its partner molecule SIRT1

The autoimmune regulator (AIRE) protein functions as a tetramer, interacting with partner proteins to form the “AIRE complex,” which relieves RNA Pol II stalling in the chromatin of medullary thymic epithelial cells (mTECs). AIRE is the primary mTEC transcriptional controller, promoting the expression of a large set of peripheral tissue antigen genes implicated in the negative selection of self-reactive thymocytes. Under normal conditions, the SIRT1 protein temporarily interacts with AIRE and deacetylates K residues of the AIRE SAND domain. Once the AIRE SAND domain is deacetylated, the binding with SIRT1 is undone, allowing the AIRE complex to proceed downstream with the RNA Pol II to the elongation phase of transcription. Considering that the in silico and in vitro binding of the AIRE SAND domain with SIRT1 provides a powerful model system for studying the dominant SAND G228W mutation mechanism, which causes the autoimmune polyglandular syndrome-1, we integrated computational molecular modeling, docking, dynamics between the whole SAND domain with SIRT1, and surface plasmon resonance using a peptide harboring the 211 to 230 residues of the SAND domain, to compare the structure and energetics of binding/release between AIRE G228 (wild-type) and W228 (mutant) SAND domain to SIRT1. We observed that the G228W mutation in the SAND domain negatively influences the AIRE-SIRT1 interaction. The disturbed interaction might cause a disruption in the binding of the AIRE SAND domain with the SIRT1 catalytic site, impairing the AIRE complex to proceed downstream with RNA Pol II.
On the bacterial ancestry of mitochondria: new insights with triangulated approaches

We breathe at the molecular level when mitochondria in our cells consume oxygen to extract energy from nutrients. Mitochondria are characteristic cellular organelles that derive from aerobic bacteria similar to some of those thriving in the oceans nowadays. These organelles carry out most metabolic pathways in eukaryotic cells. The precise bacterial origin of mitochondria and, consequently, the metabolic ancestry of our cells remains controversial - despite the vast genomic information that is now available. Here we triangulate across multiple phylogenomic and molecular approaches to pinpoint the most likely living relatives of the ancestral bacteria from which mitochondria originated.
α-GAN: Convergence and Estimation Guarantees

We prove a two-way correspondence between the min-max optimization of general CPE loss function GANs and the minimization of associated f-divergences. We then focus on α-GAN, defined via the α-loss, which interpolates several GANs (Hellinger, vanilla, Total Variation) and corresponds to the minimization of the Arimoto divergence. We show that the Arimoto divergences induced by α-GAN equivalently converge, for all α∈ℝ>0∪{∞}. However, under restricted learning models and finite samples, we provide estimation bounds which indicate diverse GAN behavior as a function of α. Finally, we present empirical results on a toy dataset that highlight the practical utility of tuning the α hyperparameter.
Machine Learning and Feature Engineering for Detecting Living off the Land Attacks

: Among the methods used by attackers to avoid detection, living off the land is particularly hard to detect. One of the main reasons is the thin line between what is actually operational/admin activity and what is malicious activity. Also, as shown by other research, this type of attack detection is underrepresented in Anti-Virus (AV) software, mainly because of the high risk of false positives. Our research focuses on detecting this type of attack through the use of machine learning. We greatly reduce the number of false detection by corpora design and specialized feature engineering which brings in-domain human expert knowledge. Our code is open-source and we provide pre-trained models.
A Potent Neutralizing Nanobody Targeting the Spike Receptor-Binding Domain of SARS-CoV-2 and the Structural Basis of Its Intimate Binding

The continuous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) around the world has raised unprecedented challenges to the human society. Antibodies and nanobodies possessing neutralization activity represent promising drug candidates. In this study, we report the identification and characterization of a potent SARS-CoV-2 neutralizing nanobody that targets the viral spike receptor-binding domain (S-RBD). The nanobody, termed as Nb-007, engages SARS-CoV-2 S-RBD with the two-digit picomolar binding affinity and shows outstanding virus entry-inhibition activity. The complex structure of Nb-007 bound to SARS-CoV-2 S-RBD reveals an epitope that is partially overlapping with the binding site for the human receptor of angiotensin-converting enzyme 2 (ACE2). The nanobody therefore exerts neutralization by competing with ACE2 for S-RBD binding, which is further ascertained by our in-vitro biochemical analyses. Finally, we also show that Nb-007 reserves promising, though compromised, neutralization activity against the currently-circulating Delta variant and that fusion of the nanobody with Fc dramatically increases its entry-inhibition capacity. Taken together, these data have paved the way of developing Nb-007 as a drug-reserve for potential treatment of SARS-CoV-2 related diseases.
Trans-Fat Labeling in Packaged Foods Sold in Brazil Before and After Changes in Regulatory Criteria for Trans-Fat-Free Claims on Food Labels

Consumption of industrially produced trans-fat acids (TFA) is a public health concern. Therefore, it is important that information on TFA in packaged foods be clearly informed to consumers. This study aimed to assess the evolution of TFA information presented in packaged foods sold in Brazil in 2010 and 2013, before and after the introduction of stricter regulatory requirements for TFA-free claims on food labels. A repeated cross-sectional study was performed through food label censuses of all packaged foods available for sale in two stores from the same supermarket chain, totaling 2,327 foods products in 2010 and 3,176 in 2013. TFA-free claims and information indicating TFA in the ingredients list and nutrition facts label were analyzed by descriptive statistics and Pearson’s chi-square test. There was a 14% decrease in the use of ingredients containing or potentially containing industrially produced TFA (i-TFA), according to analysis of the ingredients list. However, when analyzing foods by groups, it was found that this decrease was significant only for group A (bakery goods, bread, cereals, and related products; from 59 to 35%, p < 0.001). By contrast, food group F (gravies, sauces, ready-made seasonings, broths, soups, and ready-to-eat dishes) showed a 5% increase in i-TFA. The use of specific terms for i-TFA decreased between 2010 and 2013, but there was an increase in the use of alternative terms, such as vegetable fat and margarine, which do not allow consumers to reliably identify whether a food product is a possible source of i-TFA. There was an 18% decrease in the use of TFA-free claims in products containing or potentially containing i-TFA. However, almost one-third of foods sold in 2013 were false negatives, that is, foods reported to contain 0 g of TFA in the nutrition facts label or with TFA-free claims but displaying specific or alternative terms for i-TFA in the ingredients list. The results indicate that adoption of stricter requirements for TFA-free claims on food labels in Brazil helped reduce the prevalence of such claims but was not sufficient to decrease i-TFA in industrialized foods sold in supermarkets.
New Perspectives on Glacial Geomorphology in Earth’s Deep Time Record

The deep time (pre-Quaternary) glacial record is an important means to understand the growth, development, and recession of the global cryosphere on very long timescales (106–108 Myr). Sedimentological description and interpretation of outcrops has traditionally played an important role. Whilst such data remain vital, new insights are now possible thanks to freely accessible aerial and satellite imagery, the widespread availability and affordability of Uncrewed Aerial Vehicles, and accessibility to 3D rendering software. In this paper, we showcase examples of glaciated landscapes from the Cryogenian, Ediacaran, Late Ordovician and Late Carboniferous where this approach is revolutionizing our understanding of deep time glaciation. Although some problems cannot be overcome (erosion or dissolution of the evidence), robust interpretations in terms of the evolving subglacial environment can be made. Citing examples from Australia (Cryogenian), China (Ediacaran), North and South Africa (Late Ordovician, Late Carboniferous), and Namibia (Late Carboniferous), we illustrate how the power of glacial geomorphology can be harnessed to interpret Earth’s ancient glacial record.
Identification of Metabolic Pathways Differentially Regulated in Somatic and Zygotic Embryos of Maritime Pine

Embryogenesis is a complex phase of conifer development involving hundreds of genes, and a proper understanding of this process is critical not only to produce embryos with different applied purposes but also for comparative studies with angiosperms. A global view of transcriptome dynamics during pine somatic and zygotic embryogenesis is currently missing. Here, we present a genome-wide transcriptome analysis of somatic and zygotic embryos at three developmental stages to identify conserved biological processes and gene functions during late embryogenesis. Most of the differences became more significant as the developmental process progressed from early to cotyledonary stages, and a higher number of genes were differentially expressed in somatic than in zygotic embryos. Metabolic pathways substantially affected included those involved in amino acid biosynthesis and utilization, and this difference was already observable at early developmental stages. Overall, this effect was found to be independent of the line (genotype) used to produce the somatic embryos. Additionally, transcription factors differentially expressed in somatic versus zygotic embryos were analyzed. Some potential hub regulatory genes were identified that can provide clues as to what transcription factors are controlling the process and to how the observed differences between somatic and zygotic embryogenesis in conifers could be regulated.