Miracle-dz/UniFAR-FTUs huggingface dataset:
Shikonin Functionalized Packaging Film for Monitoring the Freshness of Shrimp

A shikonin embedded smart and active food packaging film was produced using a binary mixture of gelatin and cellulose nanofiber (CNF). Shikonin is an alcohol-soluble natural pigment extracted from Lithospermum erythrorhizon root. The fabricated film showed good pH-responsive color changes and volatile gas sensing properties. Moreover, the film exhibited excellent antioxidant and antibacterial activity against foodborne pathogens. The shikonin incorporated gelatin/CNF-based film showed excellent UV-light barrier properties (>95%) and high tensile strength (>80 MPa), which is useful for food packaging. The hydrodynamic properties of the film were also slightly changed in the presence of shikonin, but the thermal stability and water vapor permeability remained unaffected. Thus, the inclusion of shikonin in the gelatin/CNF-based film improves not only the physical properties but also the functional properties. The film’s color indicator properties also clearly show shrimp’s freshness and spoilage during storage for 48 h. The shikonin-based functional film is expected to be a promising tool for multi-purpose smart and active food packaging applications.
RELIABLE IDENTIFICATIONS OF ACTIVE GALACTIC NUCLEI FROM THE WISE, 2MASS, AND ROSAT ALL-SKY SURVEYS

We have developed the ‘‘SIX’’ statistic to identify bright, highly likely active galactic nucleus (AGN) candidates solely on the basis of Wide-field Infrared Survey Explorer (WISE), Two Micron All-Sky Survey (2MASS), and ROSAT all-sky survey (RASS) data. This statistic was optimized with data from the preliminary WISE survey and the Sloan Digital Sky Survey, and tested with Lick 3 m Kast spectroscopy. We find that sources with SIX < 0 have a ≳95% likelihood of being an AGN (defined in this paper as a Seyfert 1, quasar, or blazar). This statistic was then applied to the full WISE/2MASS/RASS dataset, including the final WISE data release, to yield the ‘‘W2R’’ sample of 4316 sources with SIX < 0. Only 2209 of these sources are currently in the Veron–Cetty and Veron (VCV) catalog of spectroscopically confirmed AGNs, indicating that the W2R sample contains nearly 2000 new, relatively bright (J ≲ 16) AGNs. We utilize the W2R sample to quantify biases and incompleteness in the VCV catalog. We find that it is highly complete for bright (J < 14), northern AGNs, but the completeness drops below 50% for fainter, southern samples and for sources near the Galactic plane. This approach also led to the spectroscopic identification of 10 new AGNs in the Kepler field, more than doubling the number of AGNs being monitored by Kepler. The W2R sample contains better than 1 bright AGN every 10 deg2, permitting construction of AGN samples in any sufficiently large region of sky.
The Bridge That Binds Us: Exploring How Self-Forgiveness Can Help People Live a Content Life

This article aims at exploring the importance self-forgiveness to help people live a content life. Self-forgiveness is a willingness to abandon self-resentment in the face of one’s own mistake while fostering compassion, generosity, and love toward one-self. Self-forgiveness itself is still an underrated topic because there has not been a lot of research into it. This article explores the reason behind the difficulty of self-forgiveness and ways that someone can take to self-forgive. Moreover, we use Conceptual Analysis of Self-Forgiveness, a psychological approach. The finding of this article is in the form of a novella. The novella tells a story using a contemporary fantasy genre, about a girl and a boy, Luci and Von, who are struggling with their past guilt. After spending time together, Luci is able to muster up the courage to apologize which helps her forgive herself and Von also learns the truth about the accident that happened in the past then visits his dead parents’ grave which also helps him forgive himself and move on.Keywords: self-forgiveness, novella, contemporary fantasy
Adenosine receptors as emerging therapeutic targets for diabetic kidney disease

Diabetic kidney disease (DKD) is now a pandemic worldwide, and novel therapeutic options are urgently required. Adenosine, an adenosine triphosphate metabolite, plays a role in kidney homeostasis through interacting with four types of adenosine receptors (ARs): A1AR, A2AAR, A2BAR, and A3AR. Increasing evidence highlights the role of adenosine and ARs in the development and progression of DKD: 1) increased adenosine in the plasma and urine of diabetics with kidney injury, 2) increased expression of each of the ARs in diabetic kidneys, 3) the protective effect of coffee, a commonly ingested nonselective AR antagonist, on DKD, and 4) the protective effect of AR modulators in experimental DKD models. We propose AR modulators as a new therapeutic option to treat DKD. Detailed mechanistic studies on the pharmacology of AR modulators will help us to develop effective first-in-class AR modulators against DKD.
Field-Induced Quadrupolar Quantum Criticality in PrV2Al20

PrV2Al20 is the heavy fermion superconductor based on the cubic Gamma3 doublet that exhibits non- magnetic quadrupolar ordering below ~ 0.6 K. Our magnetotransport study on PrV2Al20 reveals ? field-induced quadrupolar quantum criticality at Hc ~ 11 T applied along the [111] direction. Near the critical field Hc required to suppress the quadrupolar state, we find a marked enhancement of the resistivity rho(H, T), a divergent effective mass of quasiparticles and concomitant non-Fermi liquid (NFL) behavior (i.e. rho(T) ~ T^n with n < 0.5). We also observe the Shubnikov de Haas-effect above ? Hc, indicating the enhanced effective mass m/m0 ~ 10. This reveals the competition between the nonmagnetic Kondo effect and the intersite quadrupolar coupling, leading to the pronounced NFL behavior in an extensive region of T and H emerging from the quantum critical point.
Structural Regulation of Fiber Biomaterials by Far-IR Radiation

In recent years, far-infrared radiation technique has been employed in chemical, biological, and material research fields, and it can give remarkable effects distinct from a simple thermal treatment on various biological substances. Here, we show a latest study on irradiation effects of far-infrared rays from two-kinds of high-power light sources, free-electron laser and gyrotron, on cellulose fiber that is potential for functional biomaterials.
A Fast-Responding Electro-Activated Shape Memory Polymer Composite with Embedded 3D Interconnected Graphene Foam

Shape memory polymers (SMPs) have gained increasing attention as intelligent morphing materials. However, due to the inherent electrical insulation and poor thermal conductivity of polymers, deformation and temperature control of SMPs usually require external heating devices, bringing about design inconveniences and fragility of interfaces. Herein, we report a shape memory composite that integrates reliable temperature and shape control functions into the interior. The composite is comprised of resin-based SMP and three-dimensional interconnected graphene foam (3DGF), exhibiting a high recovery rate and thermal/electrical conductivity. With only 0.26 wt% of graphene foam, the composite can improve electrical conductivity by 15 orders of magnitude, thermal conductivity by 180%, tensile strength by 64.8%, and shape recovery speed by 154%. Using a very simple Joule heating scheme, decimeter-sized samples of the composite deformed to their preset shapes in less than 10 s.
Gamma ray lines from a universal extra dimension

Indirect Dark Matter searches are based on the observation of secondary particles produced by the annihilation or decay of Dark Matter. Among them, gamma-rays are perhaps the most promising messengers, as they do not suffer deflection or absorption on Galactic scales, so their observation would directly reveal the position and the energy spectrum of the emitting source. Here, we study the detailed gamma-ray energy spectrum of Kaluza-Klein Dark Matter in a theory with 5 Universal Extra Dimensions. We focus in particular on the two body annihilation of Dark Matter particles into a photon and another particle, which produces monochromatic photons, resulting in a line in the energy spectrum of gamma rays. Previous calculations in the context of the five dimensional UED model have computed the line signal from annihilations into ? , but we extend these results to include ? Z and ? H final states. We find that these spectral lines are subdominant compared to the predicted ? signal, but they would be important as follow-up signals in the event of the observation of the ? line, in order to distinguish the 5d UED model from other theoretical scenarios.
From Contagium vivum fluidum to Riboviria: A Tobacco Mosaic Virus-Centric History of Virus Taxonomy

Viruses were discovered as agents of disease in the late 19th century, but it was not until the 1930s that the nature of these agents was elucidated. Nevertheless, as soon as viral diseases started to be recognized and cataloged, there were attempts to classify and name viruses. Although these early attempts failed to be adopted by the nascent virology community, they are evidence of the human compulsion to try to organize the natural world into well-defined categories. Different classification schemes were proposed during the 20th century, but again none were widely embraced by virologists. In 1966, with the creation of the International Committee on Nomenclature of Viruses (eventually renamed as the International Committee on Taxonomy of Viruses), a more organized effort led to an official taxonomy in which viruses were classified into families and genera. At present, a much better understanding of the evolutionary relationships among viruses has led to the establishment of a 15-rank taxonomy based primarily on these evolutionary relationships. This review of virus taxonomy will be centered on the tobacco mosaic virus (TMV), the agent of the disease studied by Dmitry Ivanovsky and the first virus to be recognized as such, which was often historically at the center of major advancements in virology during the 20th century.
The Concept of a Traveling Wave Propulsor for High Efficiency and Low Wake Signature

D'Alembert's Paradox and the Momentum Theorem are irrefutable arguments that the forces on a body steadily translating through an infinite invisid fluid are zero. However, these principles do not apply if the motion of the body involves unsteady components. In fact, it has been well established theoretically that net steady thrust, or drag, can result from nonlinear filtering in the products of unsteady body surface displacement and pressure distributions involved in the force itegrals. The efficiency of such propulsion is necessarily 100 percent since no losses occur in an inviscid fluid. Further, no wake is left downstream since, for an invisid fluid, vorticity and circulation are identically zero everywhere at all time. The interest of this work is to seek and understand the mechanisms responsible for propulsion in an ideal fluid for possible employment in real fluid applications. This would be as a replacement, in concept, for the usual propulsion hydrodynamic processes employing circulation, and reduction of the induced drag and vortex wake signature inherent with those processes. Specifically, a 2-dimensional strip executing anguilliform traveling wave oscillations characteristic of the swimming of serpentine animals is analysed.
Automated synthesis of dynamically corrected quantum gates

Dynamically corrected gates are extended to non-Markovian open quantum systems where limitations on the available controls and/or the presence of control noise make existing analytical approaches unfeasible. A computational framework for the synthesis of dynamically corrected gates is formalized that allows sensitivity against non-Markovian decoherence and control errors to be perturbatively minimized via numerical search, resulting in robust gate implementations. Explicit sequences for achieving universal high-fidelity control in a singlet-triplet spin qubit subject to realistic system and control constraint are provided, which simultaneously cancel to the leading order the dephasing due to non-Markovian nuclear-bath dynamics and voltage noise affecting the control fields. Substantially improved gate fidelities are predicted for current laboratory devices.
Area spectrum of rotating black holes via the new interpretation of quasinormal modes

Motivated by the recent work on a new physical interpretation of quasinormal modes by Maggiore, we utilize this new proposal to the interesting case of Kerr black hole. In particular, by modifying Hod's idea, the resulting black hole horizon area is quantized and the resulting area quantum is in full agreement with Bekenstein's result. Furthermore, in an attempt to show that the area spectrum is equally spaced, we follow Kunstatter's method. We propose a new interpretation as a result of Maggiore's idea, for the frequency that appears in the adiabatic invariant of a black hole. The derived area spectrum is similar to that of the quantum-corrected Kerr black hole but it is not equally spaced.
Investigation of the polar coronal hole in the Sun with RATAN-600 in the centimeter radio range

The article presents a brief overview of the main results of observations of the radio emission of a polar coronal hole (CH) on the Sun, obtained in a wide centimeter wavelength range (1.03-30.7) cm with the RATAN-600 radio telescope. The detected sharp decrease in the intensity of radio emission of the polar coronal hole at centimeter wavelengths (λ ≥ 6 cm) near the optical disk of the Sun and its absence at short wavelengths of observation (λ = 1.03, 1.38, 2.7 cm) are analyzed. The identity of the temperature properties of the polar CH and large low-latitude CHs is discussed. During the discussion, a brief overview of some of the results of the study of the polar coronal hole in the Sun is given according to earlier observations, obtained with the radio telescopes LPRT, RATAN-600, RT-22 (CrAO), NoRH and others, as well as according to (EUV (SOHO) data and data from theoretical works.
Coupling of E1 High-Altitude Electromagnetic Pulse to Signal and Control Wires in an Electric Power Substation Yard Trench

High-altitude electromagnetic pulse (HEMP) from a nuclear detonation 30 kilometers or more above the surface of the Earth may pose a threat to digital protective relays connected to conductors routed in an electric power substation yard. This paper compares the results from four different simulation tools for three simplified models representing the coupling of E1 HEMP to one signal and control wire located in a trench of an electric power substation yard. The coupling of E1 HEMP to multiple signal and control wires within unshielded cables in the trench of a substation yard containing multiple cables is also investigated.
Cross-Domain Adaptation Using Domain Interpolation for Rotating Machinery Fault Diagnosis

In recent years, deep neural networks have been successfully used for machine failure diagnosis. However, changes in data distribution related to variations in diverse working environments adversely impact the troubleshooting performance. Consequently, cross-domain adaptation, which minimizes inconsistencies in data distribution, is an important issue. We propose an adversarial domain adaptation-based interpolation method that minimizes domain discrepancy by mixing the data and creating a continuous space between different distributed domains using two regularizations. Data interpolation algorithms generate data that interpolate regions through mutual and coherent reconstructions between labeled and target data. This ensures data transformation diversity and creates a continuous latent space. The generated data achieve the two goals of domain invariance and improved class classification performance, through categorical and domain-based regularization. Extensive experiments upon public and real-world equipment datasets demonstrate that the proposed approach achieves an approximately 10%–15% improvement in classification performance when compared to conventional methods at various levels of domain portability and data complexity. Experimental results show that the proposed method is an effective solution that can be applied to actual industrial sites.
Durable and Versatile Immobilized Carbonic Anhydrase on Textile Structured Packing for CO2 Capture

High-performance carbon dioxide (CO2)-capture technologies with low environmental impact are necessary to combat the current climate change crisis. Durable and versatile “drop-in-ready” textile structured packings with covalently immobilized carbonic anhydrase (CA) were created as efficient, easy to handle catalysts for CO2 absorption in benign solvents. The hydrophilic textile structure itself contributed high surface area and superior liquid transport properties to promote gas-liquid reactions that were further enhanced by the presence of CA, leading to excellent CO2 absorption efficiencies in lab-scale tests. Mechanistic investigations revealed that CO2 capture efficiency depended primarily on immobilized enzymes at or near the surface, whereas polymer entrapped enzymes were more protected from external stressors than those exposed at the surface, providing strategies to optimize performance and durability. Textile packing with covalently attached enzyme aggregates retained 100% of the initial 66.7% CO2 capture efficiency over 71-day longevity testing and retained 85% of the initial capture efficiency after 1-year of ambient dry storage. Subsequent stable performance in a 500 h continuous liquid flow scrubber test emphasized the material robustness. Biocatalytic textile packings performed well with different desirable solvents and across wide CO2 concentration ranges that are critical for CO2 capture from coal and natural gas-fired power plants, from natural gas and biogas for fuel upgrading, and directly from air.
Mechanisms of the Traditional Chinese Herb Atractylodes lancea against COVID-19 Based on Network Pharmacology and Molecular Docking

Atractylodes lancea (Thunb.) DC. (AL) has been proven to be effective in the treatment of coronavirus disease 2019 (COVID-19). In this study, TCMSP, TCMID, OMIM, GeneCards, PharmMapper and SwissTargetPrediction were used to collect potential targets for AL against COVID-19. The online STRING analysis platform and Cytoscape were used for generating a (protein-protein interaction) PPI network. The Cytoscape and Autodock software were used for determining hub genes and key compounds. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed via DAVID database. A total of 84 common targets were obtained. The antiviral pathways were main pathways in traetment. 10 hub genes and key compounds were screened by CytoHubba. We found that AL2, AL6 and AL38 had lower binding energy with key proteins. Our study demonstrated that AL might be used to treat COVID-19 by improving the "cytokine storm", regulating some antiviral pathways, and inhibiting the key protein through which the SARS-CoV-2 invades the host cell. These findings give a pharmacological basis and support for treating COVID-19 with AL.
MIMO Design of 12x64 Element Polarization Sensitive SiGe Array for 3D In-line Detection of Defects at 220-260 GHz

Non-destructive testing of glass fiber-reinforced composites in mass production requires suitable in-line testing methods that allow single part inspection for quality assurance. We show a design for a MIMO array whose high number of elements can accelerate the measurement process and enables inline capable 3D imaging systems. The MIMO array achieves a lateral resolution of 1mm and provides for the first time a polarization selective arrangement to better detect defects as deviations in the periodic structures of composite materials. Furthermore, the design of the high frequency PCBs for the installation of the SiGe receivers is shown as a first step on the way to a 3D imaging system.
A Method of Personal Music Psychological Recognition Based on Psychological and Physiological Signals

We can hear sweet and touching music in our daily life. We like listening to music because music can affect our emotions. Dynamic music makes us very excited. When we are sad, hearing beautiful music can make us happy. In physiology, music affects many physiological processes. It can inhibit fatigue and affect pulse, respiratory rate, and blood pressure level. “Listening music helps improve mood. ” Although the pursuit of personal happiness is likely to be considered a self-centered adventure, research shows that happiness is positively correlated with socially beneficial behavior, better health, higher income, and better interpersonal relationships. Another reason why we like music and music can be used very effectively for various therapeutic goals is that music is used in many ways in our society. When a group of people come together to sing a chorus or engage in musical activities, concerts establish new ties between people and make them closer. People grow up listening to lullabies from birth. When they die, they end their lives with funeral music (songs). It may be said that one’s life begins with music and ends with music. Through music, we sing about social phenomena, express ourselves, and communicate with others. The themes and hidden contents that the music production society is unwilling to express publicly are not limited by any judgment. It should be noted that the functions of the above music are flexibly applied according to personal conditions, rather than being classified and limited by functions.
Phospholipid-grafted PLLA electrospun micro/nanofibers immobilized with small extracellular vesicles from rat adipose mesenchymal stem cells promote wound healing in diabetic rats

Abstract Small extracellular vesicles (sEVs) derived from mesenchymal stem cells (MSCs) can deliver a variety of bioactive factors to create a favorable local microenvironment, thereby holding huge potential in chronic wound repair. However, free sEVs administrated intravenously or locally are usually cleared rapidly, resulting in an insufficient duration of the efficacy. Thus, strategies that enable optimized retention and release profiles of sEVs at wound sites are desirable. Herein, we fabricated novel functional phosphoethanolamine phospholipid-grafted poly-l-lactic acid micro/nanofibers (DSPE-PLLA) to carry and retain sEVs from rat adipose MSCs, enabling the slow local release of sEVs. Our results showed that sEVs@DSPE-PLLA promoted the proliferation, migration and gene expression (Col I, Col III, TGF-β, α-SMA, HIF-1α) of fibroblasts. It also promoted keratinocyte proliferation. In addition, sEVs@DSPE-PLLA helped polarize macrophages toward the M2 phenotype by increasing the expression of anti-inflammatory genes (Arginase 1, CD 206, IL-10) and inhibiting the expression of pro-inflammatory genes (IL-1β, TNF-α). Further in vivo study in diabetic rat models showed that sEVs@DSPE-PLLA improved the wound-healing process by alleviating the inflammatory responses, stimulating cell proliferation, collagen deposition and angiogenesis. These results highlight the potential of using DSPE-grafted scaffolds for extracellular vesicle immobilization and suggest sEVs@DSPE-PLLA micro/nanofibers as promising functional wound dressings for diabetic wounds.