Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporal and Spatio-temporal domains for Neuromorphic Tactile Texture Classification

The development of upper limb prosthesis that are able to relay information on their status back to the user is an important step towards making this assistive technology more intuitive. Applied within this context, neuromorphic hardware has the potential to reduce processing time while simultaneously reducing power requirements. Towards this, we have begun a systematic evaluation of algorithms that best leverage rich neuromorphic data, and how such algorithms may be implemented. In this paper, we apply conventional machine learning techniques to temporal domain representations of textures derived from a neuromorphic tactile sensor. We then contrast these results with those from a novel spatio-temporal domain classification approach, the Hierarchy of Event-Based Time-Surfaces (HOTS). We achieved higher accuracies when classifying temporal data with our supervised learning methods (91% with a KNN) than when classifying with HOTS (76% with a single layer), indicating that simple temporal encoding is sufficient for the classification of texture.
Using Barrier Elision to Improve Transactional Code Generation

With chip manufacturers such as Intel, IBM, and ARM offering native support for transactional memory in their instruction set architectures, memory transactions are on the verge of being considered a genuine application tool rather than just an interesting research topic. Despite this recent increase in popularity on the hardware side of transactional memory (HTM), software support for transactional memory (STM) is still scarce and the only compiler with transactional support currently available, the GNU Compiler Collection (GCC), does not generate code that achieves desirable performance. For hybrid solutions of TM (HyTM), which are frameworks that leverage the best aspects of HTM and STM, the subpar performance of the software side, caused by inefficient compiler generated code, might forbid HyTM to offer optimal results. This article extends previous work focused exclusively on STM implementations by presenting a detailed analysis of transactional code generated by GCC in the context of HybridTM implementations. In particular, it builds on previous research of transactional memory support in the Clang/LLVM compiler framework, which is decoupled from any TM runtime, and presents the following novel contributions: (a) it shows that STM’s performance overhead, due to an excessive amount of read and write barriers added by the compiler, also impacts the performance of HyTM systems; and (b) it reveals the importance of the previously proposed annotation mechanism to reduce the performance gap between HTM and STM in phased runtime systems. Furthermore, it shows that, by correctly using the annotations on just a few lines of code, it is possible to reduce the total number of instrumented barriers by 95% and to achieve speed-ups of up to 7× when compared to the original code generated by GCC and the Clang compiler.1
Optimal Oscillator Memory Networks

Associative memory [4, 11, 15] is an important building block in neural computing, neuromorphic engineering, and, in general, collective-state computing. Based on phasor associative memories (PAM) [9], a type of phasor neural network (PNN), we present a novel oscillator neural network (ONN) model that uses subharmonic injection locking (SHIL) [8, 14] to restrict the phase of the oscillators to Q discrete values. We show that the presence of SHIL increases the memory capacity of an ONN. Specifically, we find that for certain values of Q, the associative memory achieves greater capacity and information storage than previous models. To our knowledge, the proposed model is the first to validate the capacity analysis of Q-state PAM networks [2] through simulation and provide a model of how to implement such a memory on a physical system.
Well‐posedness and stability of a nonlinear time‐delayed dispersive equation via the fixed point technique: A case study of no interior damping

The primary concern of this article is to establish the well‐posedness as well as the exponential stability of the zero solution to a nonlinear time‐delayed dispersive equation of order four in a bounded interval. The main ingredient of the proof is the exploitation of Schauder Fixed Point Theorem. This outcome considerably improves an earlier result of Ammari et al. (2021) in the sense that we prove that no interior damping control is required. Furthermore, our results remain valid regardless of the sign of the antidiffusion parameter. Numerical simulations are also given as an illustration of our theoretical result.
On Parallel Processing of Machine Learning Based On Big Data and Voronoi Tessellation

The paper is devoted to the development of an approach to machine learning for Big Data under epistemic and aleatoric uncertainties which are taken into account with the help of corresponding minimax criteria. The keystone of the method is processing subsets of training data in parallel, using the partitioning based on Voronoi tessellation. Computational complexity is analyzed and compared with sequential data processing. An example from a medical application is considered, where the method is investigated for different learners and resampling strategies.
Automated Bot Detection Based on Coherence Metric

This paper describes a model of bot detection based on a coherence metric. Much attention is being paid to natural language generation technologies since the middle of the previous century, many companies invest in research in this direction. The quality of automatically generated texts becomes better. Nowadays, it is hard to distinguish machine-generated texts from those written by humans. While this can be used for helping people in automating even creative tasks, there is also a downside of such technologies being widely available, e. g. easier spread of fake news and propaganda. That is why it is also important to develop efficient bot detection methods for having misinformation protection tools. Here an attempt to create such a model is made. One of the main distinguishing features of high-quality texts is coherence. This is also what automatically generated texts, especially long ones, often lack in. A classifier with a set of features based on a coherence metric and syntactic characteristics has been built. The method can be extended and used for different languages.
Solving the Problem of Vehicle Routing on Modern Quantum-Classical Cloud Services

Hybrid quantum-classical services for solving optimization problems are already used by leading international corporations in competition, and achieving "quantum superiority" is an absolute global trend. The use of quantum computing allows accelerating the solution of several economic problems, logistics, virology, and many high technologies, which determines the financing of this area's basic research around the world. The goal of the article is to study algorithms for solving routing problems on quantum computers. It should be noted that modern quantum computers have significant limitations on both the number of qubits and the number of connections between qubits or the limited depth of the circuit. In addition, modern quantum computers can give only approximate solutions to combinatorial optimization problems, which is a consequence of the imperfection of technologies for creating and maintaining the stability of quantum states and many other physical limitations. This means that many routing algorithms will not soon be able to run on quantum computers. Therefore, the authors limited the review of quantum algorithms for solving the problem of vehicle routing to a list of algorithms that have been tested on real quantum computers and for which the source code for programs is given by their developers. Algorithms and computational schemes for solving the problem of vehicle routing on modern hybrid quantum-classical cloud services of IBM and D-wave, as well as quantum computer simulators, are studied and discussed.
Proteomic Identification of Phosphorylation-Dependent Septin 7 Interactors that Drive Dendritic Spine Formation

Septins are a family of cytoskeletal proteins that regulate several important aspects of neuronal development. Septin 7 (Sept7) is enriched at the base of dendritic spines in excitatory neurons and mediates both spine formation and spine and synapse maturation. Phosphorylation at a conserved C-terminal tail residue of Sept7 mediates its translocation into the dendritic spine head to allow spine and synapse maturation. The mechanistic basis for postsynaptic stability and compartmentalization conferred by phosphorylated Sept7, however, is unclear. We report herein the proteomic identification of Sept7 phosphorylation-dependent neuronal interactors. Using Sept7 C-terminal phosphopeptide pulldown and biochemical assays, we show that the 14-3-3 family of proteins specifically interacts with Sept7 when phosphorylated at the T426 residue. Biochemically, we validate the interaction between Sept7 and 14-3-3 isoform gamma and show that 14-3-3 gamma is also enriched in the mature dendritic spine head. Furthermore, we demonstrate that interaction of phosphorylated Sept7 with 14-3-3 protects it from dephosphorylation, as expression of a 14-3-3 antagonist significantly decreases phosphorylated Sept7 in neurons. This study identifies 14-3-3 proteins as an important physiological regulator of Sept7 function in neuronal development.
FAR1/FHY3 Transcription Factors Positively Regulate the Salt and Temperature Stress Responses in Eucalyptus grandis

FAR-RED ELONGATED HYPOCOTYLS3 (FHY3) and its homolog FAR-RED IMPAIRED RESPONSE1 (FAR1), which play pivotal roles in plant growth and development, are essential for the photo-induced phyA nuclear accumulation and subsequent photoreaction. The FAR1/FHY3 family has been systematically characterized in some plants, but not in Eucalyptus grandis. In this study, genome-wide identification of FAR1/FHY3 genes in E. grandis was performed using bioinformatic methods. The gene structures, chromosomal locations, the encoded protein characteristics, 3D models, phylogenetic relationships, and promoter cis-elements were analyzed with this gene family. A total of 33 FAR1/FHY3 genes were identified in E. grandis, which were divided into three groups based on their phylogenetic relationships. A total of 21 pairs of duplicated repeats were identified by homology analysis. Gene expression analysis showed that most FAR1/FHY3 genes were differentially expressed in a spatial-specific manner. Gene expression analysis also showed that FAR1/FHY3 genes responded to salt and temperature stresses. These results and observation will enhance our understanding of the evolution and function of the FAR1/FHY3 genes in E. grandis and facilitate further studies on the molecular mechanism of the FAR1/FHY3 gene family in growth and development regulations, especially in response to salt and temperature.
Social Wellbeing, Board-Gender Diversity, and Financial Performance: Evidence From Chinese Fintech Companies

The main goal of this study is to investigate the relationship between female representation on board of directors and financial performance, using evidence from Chinese fintech companies, which are providing financial services using cutting-edge technologies. This research used fintech firms listed on the Shanghai and Shenzen Stock Exchange from 2010 to 2019 to test the research questions using regression analyses by SPSS v26. According to the data, the Blau index has a large and negative influence on Tobin's Q, which demonstrates that gender diversity harms the performance of Chinese enterprises. Furthermore, corporate social responsibility (CSR) is found to have a significant and positive moderating influence on Tobin's Q, implying that the adoption of CSR converts a negative to a positive effect. Diversified board members can improve the organization's control and monitoring operations, and female-represented board of directors can participate in the CSR activities that contribute to the organization's performance. The study contributes to the research of gender diversity by providing evidence that women on board of directors enhance firm performance, and the moderating function of CSR is examined with the link of female participation on the board of directors and financial performance.
Stiffening of Circumferential F-Actin Bands Correlates With Regenerative Failure and May Act as a Biomechanical Brake in the Mammalian Inner Ear

The loss of inner ear hair cells causes permanent hearing and balance deficits in humans and other mammals, but non-mammals recover after supporting cells (SCs) divide and replace hair cells. The proliferative capacity of mammalian SCs declines as exceptionally thick circumferential F-actin bands develop at their adherens junctions. We hypothesized that the reinforced junctions were limiting regenerative responses of mammalian SCs by impeding changes in cell shape and epithelial tension. Using micropipette aspiration and atomic force microscopy, we measured mechanical properties of utricles from mice and chickens. Our data show that the epithelial surface of the mouse utricle stiffens significantly during postnatal maturation. This stiffening correlates with and is dependent on the postnatal accumulation of F-actin and the cross-linker Alpha-Actinin-4 at SC-SC junctions. In chicken utricles, where SCs lack junctional reinforcement, the epithelial surface remains compliant. There, SCs undergo oriented cell divisions and their apical surfaces progressively elongate throughout development, consistent with anisotropic intraepithelial tension. In chicken utricles, inhibition of actomyosin contractility led to drastic SC shape change and epithelial buckling, but neither occurred in mouse utricles. These findings suggest that species differences in the capacity for hair cell regeneration may be attributable in part to the differences in the stiffness and contractility of the actin cytoskeletal elements that reinforce adherens junctions and participate in regulation of the cell cycle.
Trends and Hotspots in Nanoparticles for the Targeted Delivery of Nucleic Acids: A Ten-Year Bibliometric Study

Nanoparticles for the gene therapy field have seen remarkable progress over the last 10 years; however, low delivery efficiency and other reasons impede the clinical translation of nanocarriers. Therefore, a summary of hotspots and trends in this field is needed to promote further research development. In this research, from 2011 to 2021, 1,221 full records and cited references of Web of Science–indexed manuscripts regarding nanoparticle-targeted delivery systems have been analyzed by CiteSpace, VOSviewer, and MapEquation. In these software, keywords co-occurrence networks, alluvial diagram, co-citation networks, and structural variation analysis were carried out to emphasize the scientific community’s focus on nanomedicine of targeted delivering of nucleic acids. Keywords such as transfection efficiency, tumor cell, membrane antigen, and siRNA delivery were highlighted in the density map from VOSviewer. In addition, an alluvial flow diagram was constructed to detect changes in concepts. In the co-citation network, cluster 1 (exosomes) and cluster 17 (genome editing) were new research fields, and the efforts in modifying nanoparticles were revealed in the structural variation analysis. Aptamer and SELEX (systematic evolution of ligands by exponential enrichment) represented a helpful system in targeted delivery. These results indicated that the transfection efficiency of nanocarriers required continuous improvements. With the approval of several nucleic acid drugs, a new content of nanoparticle carriers is to introduce gene-editing technology, especially CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/CRISPR–associated protein 9). In addition, exosomes have great potential as targeted nanoparticles. By mapping the knowledge domains of nanomedicine in targeted delivering of nucleic acids, this study analyzed the intellectual structure of this domain in the recent 10 years, highlighting classical modifications on nanoparticles and estimating future trends for researchers and decision-makers interested in this field.
Postprandial Responses on Serum Metabolome to Milk and Yogurt Intake in Young and Older Men

The identification and validation of biomarkers of food intake (BFIs) is a promising approach to develop more objective and complementary tools to the traditional dietary assessment methods. Concerning dairy, their evaluation in terms of intake is not simple, given the variety of existing foods, making it difficult to establish the association between specific dairy products consumption and the effects on human health, which is also dependent on the study population. Here, we aimed at identifying BFI of both milk (M) and yogurt (Y) in 14 healthy young (20–35 years) and 14 older (65–80 years). After a 3-week run-in period of dairy exclusion from the diet, the subjects acutely consumed 600 ml of M or Y. Metabolomics analyses were conducted on serum samples during the following 6 h (LC-MS and GC-MS). Several metabolites showing increased iAUC after milk or yogurt intake were considered as potential BFI, including lactose (M > Y, 2-fold), galactitol (M > Y, 1.5-fold), galactonate (M > Y, 1.2-fold), sphingosine-1-phosphate (M > Y from 2.1-fold), as well as an annotated disaccharide (Y > M, 3.6-fold). Delayed serum kinetics were also observed after Y compared to M intake lysine (+22 min), phenylalanine (+45 min), tyrosine (+30min), threonine (+38 min) 3-phenyllactic acid (+30 min), lactose (+30 min), galactitol (+45min) and galactonate (+30 min). The statistical significance of certain discriminant metabolites, such as sphingosine-1-phosphate and several free fatty acids, was not maintained in the older group. This could be related to the physiological modifications induced by aging, like dysregulated lipid metabolism, including delayed appearance of dodecanoic acid (+60 min) or altered postprandial appearance of myristic acid (+70% Cmax), 3-dehydroxycarnitine (−26% Cmin), decanoylcarnitine (−51% Cmin) and dodecanoylcarnitine (−40% Cmin). In conclusion, candidate BFI of milk or yogurt could be identified based on the modified postprandial response resulting from the fermentation of milk to yogurt. Moreover, population specificities (e.g., aging) should also be considered in future studies to obtain more accurate and specific BFI.
A Qualitative Study of the Disorder Effect on the Phonon Transport in a Two-Dimensional Graphene/h-BN Heterostructure

Recently, massive efforts have been made to control phonon transport via introducing disorder. Meanwhile, materials informatics, an advanced material-discovery technology that combines data-driven search algorithms and material property simulations, has made significant progress and shown accurate prediction ability in studying the target properties of new materials. However, with the introduction of disorder, the design space of random structures is greatly expanded. Global optimization for the entire domain is nearly impossible with the current computer resource even when materials informatics reduces the design space to a few percent. Toward the goal of reducing design space, we investigate the effect of different types of disorders on phonon transport in two-dimensional graphene/hexagonal boron nitride heterostructure using non-equilibrium molecular dynamics simulation. The simulation results show that when the hexagonal boron nitride is distributed disorderly in the coherent phonon-dominated structure, that is, the structure with a period length of 1.23 nm, the thermal conductivity is significantly reduced due to the appearance of coherent phonon localization. By qualitatively analyzing different types of disorder, we found that the introduction of disordered structure in the cross direction with a larger shift distance can further reduce the thermal conductivity. Further physical mechanism analysis revealed that the structures with lower thermal conductivity were caused by weak propagation and strong localization of phonon. Our findings have implications for accelerating machine learning in the search for structures with the lowest thermal conductivity, and provide some guidance for the future synthesis of 2D heterostructures with unique thermal properties.
Attenuation of Yersinia pestis fyuA Mutants Caused by Iron Uptake Inhibition and Decreased Survivability in Macrophages

Yersinia pestis is the etiological agent of plague, a deadly infectious disease that has caused millions of deaths throughout history. Obtaining iron from the host is very important for bacterial pathogenicity. Y. pestis possesses many iron uptake systems. Yersiniabactin (Ybt) plays a major role in iron uptake in vivo and in vitro, and in virulence toward mice as well. FyuA, a β-barrel TonB-dependent outer membrane protein, serves as the receptor for Ybt. In this study, we examined the role of the fyuA gene in Y. pestis virulence using different challenging ways and explored the underlying mechanisms. The BALB/c mouse infection assay showed that the virulence of the mutant strains (ΔfyuA and ΔfyuA GCAdel) was lower when compared with that of the wild-type (WT) strain 201. Furthermore, the attenuation of virulence of the mutant strains via subcutaneous and intraperitoneal challenges was far greater than that via intravenous injection. Iron supplementation restored lethality during subcutaneous challenge with the two mutants. Thus, we speculated that the attenuated virulence of the mutant strains toward the mice may be caused by dysfunctional iron uptake. Moreover, ΔfyuA and ΔfyuA GCAdel strains exhibited lower survival rates in murine RAW264.7 macrophages, which might be another reason for the attenuation. We further explored the transcriptomic differences between the WT and mutant strains at different temperatures and found that the expressions of genes related to Ybt synthesis and its regulation were significantly downregulated in the mutant strains. This finding indicates that fyuA might exert a regulatory effect on Ybt. Additionally, the expressions of the components of the type III secretion system were unexpectedly upregulated in the mutants, which is inconsistent with the conventional view that the upregulation of the virulence genes enhances the virulence of the pathogens.