Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiation damage and abnormal photoluminescence enhancement of multilayer MoS2 under neutron irradiation

In this work, neutron irradiation effects on the optical property of multilayer MoS2 have been investigated in depth. Our results display that the intensity of the photoluminescence (PL) spectra of MoS2 flakes tends to slightly decrease after exposed to neutron irradiation with low fluence of 4.0 × 108 n/cm2. An unexpected improvement of PL intensity, however, is observed when the irradiation fluence accumulates to 3.2 × 109 n/cm2. Combined with the experimental results and first-principles calculations, neutron irradiation damage effects of multilayer MoS2 are analyzed deeply. Sulfur vacancy (V S) is found to be responsible for the attenuation of the PL intensity as a major defect. In addition, our results reveal that the adsorbed hydroxyl groups (OH) and oxygen atoms (O) on the surface of MoS2 flakes not only promote the transition from trion excitons to neutral excitons, but also repair the V S in MoS2, both of which contribute to the enhancement of luminescence properties. The detailed evolution process of irradiation-induced defects is discussed to reveal the microscopic mechanism of the significantly difference in luminescence intensity of MoS2 under different irradiation stages. This work has great significance for evaluating the neutron radiation hardness of multilayer MoS2, which is helpful to enrich the fundamental research on neutron irradiation effects.
Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human–Robot Interaction

Hand detection is a crucial technology for space human–robot interaction (SHRI), and the awareness of hand identities is particularly critical. However, most advanced works have three limitations: 1) the low detection accuracy of small-size objects; 2) insufficient temporal feature modeling between frames in videos; and 3) the inability of real-time detection. In the article, a temporal detector (called TA-RSSD) is proposed based on the SSD and spatiotemporal long short-term memory (ST-LSTM) for real-time detection in SHRI applications. Next, based on the online tubelet analysis, a real-time identity-awareness module is designed for multiple hand object identification. Several notable properties are described as follows: 1) the hybrid structure of the Resnet-101 and the SSD improves the detection accuracy of small objects; 2) three-level feature pyramidal structure retains rich semantic information without losing detailed information; 3) a group of the redesigned temporal attentional LSTM (TA-LSTM) is utilized for three-level feature map modeling, which effectively achieves background suppression and scale suppression; 4) low-level attention maps are used to eliminate in-class similarity between hand objects, which improves the accuracy of identity awareness; and 5) a novel association training scheme enhances the temporal coherence between frames. The proposed model is evaluated on the SHRI-VID dataset (collected according to the task requirements), the AU-AIR dataset, and the ImageNet-VID benchmark. Extensive ablation studies and comparisons on detection and identity-awareness capacities show the superiority of the proposed model. Finally, a set of actual testing is conducted on a space robot, and the results show that the proposed model achieves a real-time speed and high accuracy.
They Affect the Person, but for Better or Worse? Perceptions of Electroceutical Interventions for Depression Among Psychiatrists, Patients, and the Public

Responding to reports of cases of personality change following deep brain stimulation, neuroethicists have debated the nature and ethical implications of these changes. Recently, this literature has been challenged as being overblown and therefore potentially an impediment to patients accessing needed treatment. We interviewed 16 psychiatrists, 16 patients with depression, and 16 members of the public without depression, all from the Midwestern United States, about their views on how three electroceutical interventions (deep brain stimulation, electroconvulsive therapy, and transcranial magnetic stimulation) used to treat depression might affect the self. Participants were also asked to compare the electroceuticals’ effects on the self with the effects of commonly used depression treatments (psychotherapy and pharmaceuticals). Using qualitative content analysis, we found that participants’ views on electroceuticals’ potential effects on the self mainly focused on treatment effectiveness and side effects. Our results have implications for both theoretical discussions in neuroethics and clinical practice in psychiatry.
Molecular Magnetic Resonance Imaging of Vascular Inflammation After Recanalization in a Rat Ischemic Stroke Model

Supplemental Digital Content is available in the text. Background and Purpose: Brain imaging has become central in the management of acute ischemic stroke. Detection of parenchymal injury and perfusion enables characterization of the extent of ischemic damage, which guides treatment decision-making. Additional assessment of secondary events, such as inflammation, which may particularly arise after recanalization, may improve diagnosis and (supplementary) treatment selection. Therefore, we developed and tested a molecular magnetic resonance imaging (MRI) approach for in vivo detection of vascular inflammation after transient middle cerebral artery occlusion in rats. Methods: Molecular MRI of VCAM-1 (vascular cell adhesion molecule-1) expression was performed with a targeted contrast agent, in addition to MR angiography, and diffusion-, T2- and perfusion-weighted MRI, from 1 hour until 96 hours after transient middle cerebral artery occlusion in rats. Results: VCAM-1 expression, detected with susceptibility-weighted MRI, was significantly enhanced at 6 hours after recanalization as compared with 1-hour postrecanalization, coinciding with a transient decline in perfusion after initial hyperperfusion. VCAM-1 levels declined after 24 hours, but remained elevated, particularly in lesion borderzones. Conclusions: The implementation of molecular MRI of vascular inflammation into imaging protocols after acute ischemic stroke could provide complementary information that may guide treatment decision-making before and after recanalization therapy.
Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Yeasts are known to have versatile metabolic traits, while how these metabolic traits have evolved has not been elucidated systematically. We performed integrative evolution analysis to investigate how genomic evolution determines trait generation by reconstructing genome‐scale metabolic models (GEMs) for 332 yeasts. These GEMs could comprehensively characterize trait diversity and predict enzyme functionality, thereby signifying that sequence‐level evolution has shaped reaction networks towards new metabolic functions. Strikingly, using GEMs, we can mechanistically map different evolutionary events, e.g. horizontal gene transfer and gene duplication, onto relevant subpathways to explain metabolic plasticity. This demonstrates that gene family expansion and enzyme promiscuity are prominent mechanisms for metabolic trait gains, while GEM simulations reveal that additional factors, such as gene loss from distant pathways, contribute to trait losses. Furthermore, our analysis could pinpoint to specific genes and pathways that have been under positive selection and relevant for the formulation of complex metabolic traits, i.e. thermotolerance and the Crabtree effect. Our findings illustrate how multidimensional evolution in both metabolic network structure and individual enzymes drives phenotypic variations.
Inhibition of Mycobacterium tuberculosis InhA by 3‐nitropropanoic acid

3‐Nitropropanoic acid (3NP), a bioactive fungal natural product, was previously demonstrated to inhibit growth of Mycobacterium tuberculosis. Here we demonstrate that 3NP inhibits the 2‐trans‐enoyl‐acyl carrier protein reductase (InhA) from Mycobacterium tuberculosis with an IC50 value of 71 μM, and present the crystal structure of the ternary InhA‐NAD+‐3NP complex. The complex contains the InhA substrate‐binding loop in an ordered, open conformation with Tyr158, a catalytically important residue whose orientation defines different InhA substrate/inhibitor complex conformations, in the “out” position. 3NP occupies a hydrophobic binding site adjacent to the NAD+ cofactor and close to that utilized by the diphenyl ether triclosan, but binds predominantly via electrostatic and water‐mediated hydrogen‐bonding interactions with the protein backbone and NAD+ cofactor. The identified mode of 3NP binding provides opportunities to improve inhibitory activity toward InhA.
Advances in the proteomic profiling of the matrisome and adhesome

ABSTRACT Introduction The matrisome and adhesome comprise proteins that are found within or are associated with the extracellular matrix (ECM) and adhesion complexes, respectively. Interactions between cells and their microenvironment are mediated by key matrisome and adhesome proteins, which direct fundamental processes, including growth and development. Due to their underlying complexity, it has historically been challenging to undertake mass spectrometry (MS)-based profiling of these proteins. New developments in sample preparative workflows, informatics databases, and MS techniques have enabled in-depth proteomic characterization of the matrisome and adhesome, resulting in a comprehensive understanding of the interactomes, and cellular signaling that occur at the cell-ECM interface. Area covered This review summarizes recent advances in proteomic characterization of the matrisome and adhesome. It focuses on the importance of curated databases and discusses key strengths and limitations of different workflows. Expert opinion MS-based proteomics has shown promise in characterizing the matrisome and topology of adhesome networks in health and disease. Moving forward, it will be important to incorporate integrative analysis to define the bidirectional signaling between the matrisome and adhesome, and adopt new methods for post-translational modification and in vivo analyses to better dissect the critical roles that these proteins play in human pathophysiology.
Alginate Bead Biosystem for the Determination of Lactate in Sweat Using Image Analysis

Lactate is present in sweat at high concentrations, being a metabolite of high interest in sport science and medicine. Therefore, the potential to determine lactate concentrations in physiological fluids, at the point of need with minimal invasiveness, is very valuable. In this work, the synthesis and performance of an alginate bead biosystem was investigated. Artificial sweat with different lactate concentrations was used as a proof of concept. The lactate detection was based on a colorimetric assay and an image analysis method using lactate oxidase, horseradish peroxidase and tetramethyl benzidine as the reaction mix. Lactate in artificial sweat was detected with a R² = 0.9907 in a linear range from 10 mM to 100 mM, with a limit of detection of 6.4 mM and a limit of quantification of 21.2 mM. Real sweat samples were used as a proof of concept to test the performance of the biosystem, obtaining a lactate concentration of 48 ± 3 mM. This novel sensing configuration, using alginate beads, gives a fast and reliable method for lactate sensing, which could be integrated into more complex analytical systems.
Naturally Occurring Glycosidases in Milk from Native Cattle Breeds: Activity and Consequences on Free and Protein Bound-Glycans

Little is known about the extent of variation and activity of naturally occurring milk glycosidases and their potential to degrade milk glycans. A multi-omics approach was used to investigate the relationship between glycosidases and important bioactive compounds such as free oligosaccharides and O-linked glycans in bovine milk. Using 4-methylumbelliferone (4-MU) assays activities of eight indigenous glycosidases were determined, and by mass spectrometry and 1H NMR spectroscopy various substrates and metabolite products were quantified in a subset of milk samples from eight native North European cattle breeds. The results showed a clear variation in glycosidase activities among the native breeds. Interestingly, negative correlations between some glycosidases including β-galactosidase, N-acetyl-β-d-glucosaminidase, certain oligosaccharide isomers as well as O-linked glycans of κ-casein were revealed. Further, a positive correlation was found for free fucose content and α-fucosidase activity (r = 0.37, p-value < 0.001) indicating cleavage of fucosylated glycans in milk at room temperature. The results obtained suggest that milk glycosidases might partially degrade valuable glycans, which would result in lower recovery of glycans and thus represent a loss for the dairy ingredients industry if these activities are pronounced.
The Effect of Low Tidal Volume Ventilation on Inflammatory Cytokines During Cardiopulmonary Bypass

Introduction Halting ventilation during cardiopulmonary bypass (CPB) is implemented to operate in a less bleeding setting. It sustains a better visualization of the operation area and helps to perform the operation much more comfortably. On the other hand, it may lead to a series of postoperative lung complications such as atelectasis and pleural effusion. In this study, we investigated the effects of low tidal volume ventilation on inflammatory cytokines during CPB. Methods Twenty-eight patients undergoing cardiovascular surgery were included in the study. Operation standards and ventilation protocols were determined and patients were divided into two groups: patients ventilated with low tidal volume and non-ventilated patients. Plasma samples were taken from patients preoperatively, perioperatively from the coronary sinus and postoperatively after CPB. IL-6, IL-8, TNF-α and C5a levels in serum samples were studied with enzyme-linked immunosorbent assay (ELISA) kits. Results C5a, IL-6, IL-8 and TNF-α were similar when compared to the low tidal volume ventilated and non-ventilated groups (P>0.05) Comparing the groups by variables, IL-6 levels were increased during CPB in both groups (P=0.021 and P=0.001), and IL-8 levels decreased in the ventilation group during CPB (P=0.018). Conclusion Our findings suggest that low tidal volume ventilation may reduce the inflammatory response during CPB. Although the benefit of low tidal volume ventilation in CPB has been shown to decrease postoperative lung complications such as pleural effusion, atelectasis and pneumonia, we still lack more definitive and clear proofs of inflammatory cytokines encountered during CPB.
TopoCluster: A Localized Data Structure for Topology-based Visualization

Unstructured data are collections of points with irregular topology, often represented through simplicial meshes, such as triangle and tetrahedral meshes. Whenever possible such representations are avoided in visualization since they are computationally demanding if compared with regular grids. In this work, we aim at simplifying the encoding and processing of simplicial meshes. The paper proposes TopoCluster, a new localized data structure for tetrahedral meshes. TopoCluster provides efficient computation of the connectivity of the mesh elements with a low memory footprint. The key idea of TopoCluster is to subdivide the simplicial mesh into clusters. Then, the connectivity information is computed locally for each cluster and discarded when it is no longer needed. We define two instances of TopoCluster. The first instance prioritizes time efficiency and provides only a modest savings in memory, while the second instance drastically reduces memory consumption up to an order of magnitude with respect to comparable data structures. Thanks to the simple interface provided by TopoCluster, we have been able to integrate both data structures into the existing Topological Toolkit (TTK) framework. As a result, users can run any plugin of TTK using TopoCluster without changing a single line of code.
Evaporative silicification in floating microbial mats: patterns of oxygen production and preservation potential in silica‐undersaturated streams, El Tatio, Chile

Microbial mats floating within multiple hydrothermally sourced streams in El Tatio, Chile, frequently exhibit brittle siliceous crusts (~1 mm thick) above the air–water interface. The partially silicified mats contain a diverse assemblage of microbial clades and metabolisms, including cyanobacteria performing oxygenic photosynthesis. Surficial crusts are composed of several amorphous silica layers containing well‐preserved filaments (most likely cyanobacteria) and other cellular textures overlying EPS‐rich unsilicified mats. Environmental logs, silica crust distribution, and microbial preservation patterns provide evidence for crust formation via repeated cycles of evaporation and silica precipitation. Within the mats, in situ microelectrode profiling reveals that daytime oxygen concentrations and pH values are diminished beneath silica crusts compared with adjacent unencrusted communities, indicating localized inhibition of oxygenic photosynthesis due to light attenuation. As a result, aqueous conditions under encrusted mats have a higher saturation state with regard to amorphous silica compared with adjacent, more active mats where high pH increases silica solubility, likely forming a modest feedback loop between diminished photosynthesis and crust precipitation. However, no fully lithified sinters are associated with floating encrusted mats in El Tatio streams, as both subaqueous and subaerial silica precipitation are limited by undersaturated, low‐SiO2 (<150 ppm) stream waters. By contrast, well‐cemented sinters can form by evaporation in silica‐undersaturated solutions above 200 ppm SiO2. Floating mats in El Tatio therefore represent a specific sinter preservation window, where evaporation in silica‐undersaturated microbial mats produces crusts, which preserve cells and affect mat chemistry, but low‐silica concentrations prevent the formation of lasting sinter deposits. Patterns of silica precipitation in El Tatio microbial communities show that the preservation potential of silicifying mats in the rock record is strongly dependent on aqueous silica concentrations.
Brain–Computer Interfacing Using Functional Near-Infrared Spectroscopy (fNIRS)

Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system originally developed for continuous and non-invasive monitoring of brain function by measuring blood oxygen concentration. Recent advancements in brain–computer interfacing allow us to control the neuron function of the brain by combining it with fNIRS to regulate cognitive function. In this review manuscript, we provide information regarding current advancement in fNIRS and how it provides advantages in developing brain–computer interfacing to enable neuron function. We also briefly discuss about how we can use this technology for further applications.
Hydrogen Separation Performance of UiO-66-NH2 Membranes Grown via Liquid-Phase Epitaxy Layer-by-Layer Deposition and One-Pot Synthesis

The quality assurance of hydrogen fuel for mobile applications is assessed by the guidelines and directives given in the European and international standards. However, the presence of impurities in the hydrogen fuel, in particular nitrogen, water, and oxygen, is experienced in several refueling stations. Within this work, metal-organic framework (MOF)-based membranes are investigated as a fine-purification stage of the hydrogen fuel. Three H2/N2 concentrations have been used to analyze the separation factor of UiO-66-NH2 membranes prepared using the layer-by-layer (LBL) and the one-pot (OP) synthesis methods. It is shown that the separation factor for an equimolar ratio is 14.4% higher for the LBL sample compared to the OP membrane, suggesting a higher orientation and continuity of the LBL surface-supported metal-organic framework (SURMOF). Using an equimolar ratio of H2/N2, it is shown that selective separation of hydrogen over nitrogen occurs with a separation factor of 3.02 and 2.64 for the SURMOF and MOF membrane, respectively. To the best of our knowledge, this is the highest reported performance for a single-phase UiO-66-NH2 membrane. For higher hydrogen concentrations, the separation factor decreases due to reduced interactions between pore walls and N2 molecules.
Emotional and Aesthetic Labor of Finnish Military Officers

This study analyzes the emotional and aesthetic labor of Finnish military officers. It examines the kinds of valuations officers attach to the notion of an ideal soldier. The meanings that officers give to these ideals are explored within the wider framework of post-Fordist new work. The ideal soldier is traditionally considered to be physically capable and strong, rational, and in control—features culturally coded as masculine. An analysis of 108 military officers’ writings and 12 interviews showed that while the traditional masculine ideal still exists, a vast variety of valuations are related to new work. The notion of the new ideal worker includes attributes, such as empathy, emotional intelligence, and social skills, which are culturally coded as feminine qualities. These feminine valuations may work to female officers’ advantage. However, despite fractures in traditional masculine ideals, there are still some deeply rooted gender stereotypes that work to female officers’ disadvantage.
Application of lightweight YOLOv4 in aircraft skin fault detection

Aircraft skin image fault detection plays an important role in the process of aircraft maintenance, but the traditional detection methods have low efficiency. This paper uses the YOLOv4 object detection algorithm for fault detection of aircraft skin images. Aiming at solve the problems of lightweight structure and the detection speed, we proposed the YOLOv4-ML detection algorithm. The CSPDarkNet53 backbone network in YOLOv4 is replaced by the MobileNetv3 network. The SiLU activation function is used in the shallow feature extraction network, and the adaptive training sample selection method is introduced in the training process to improve the quality of network training. The experimental results show that the YOLOV4 algorithm with lightweight design improves the detection speed by 10% while losing only 2.6% of the detection accuracy, which verifies the effectiveness of the improved algorithm.
Research on IPv6 mobility management mechanism based on SDN

The idea of SDN provides a new way to solve the problems faced by mobility management of network layer in traditional networks. However, the existing mobility management schemes in SDN still face problems such as large network overhead and prolonged switching time in the process of user mobility. In this paper, the mobility management mechanism of network layer supporting IPv6 in SDN is studied. Firstly, by analyzing and designing two key technologies of mobility awareness and mobility handover, and combining with the position prediction theory, an IPv6 mobility management mechanism supporting pre-handover in SDN is proposed. Secondly, according to the result of position prediction, this mechanism calculates and issues the switching path runoff table before the movement, which reduces the signaling overhead and switching delay of the mobile node in the process of movement. Finally, according to the performance evaluation and analysis method, the signaling cost and switching delay of OPMIPv6-C scheme which is also implemented based on SDN are compared.