Quantum defogging: temporal photon number fluctuation correlation in time-variant fog scattering medium

The conventional McCartney model simplifies fog as a scattering medium with space-time invariance, as the time-variant nature of fog is a pure noise for classical optical imaging. In this letter, an opposite finding to traditional idea is reported. The time parameter is incorporated into the McCartney model to account for photon number fluctuation introduced by time-variant fog. We demonstrated that the randomness of ambient photons in the time domain results in the absence of a stable correlation, while the scattering photons are the opposite. This difference can be measured by photon number fluctuation correlation when two conditions are met. A defogging image is reconstructed from the target's information carried by scattering light. Thus, the noise introduced by time-variant fog is eliminated by itself. Distinguishable images can be obtained even when the target is indistinguishable by conventional cameras, providing a prerequisite for subsequent high-level computer vision tasks.Comment: 6 pages, 9 figure

Quantum image rain removal: second-order photon number fluctuation correlations in the time domain

Falling raindrops are usually considered purely negative factors for traditional optical imaging because they generate not only rain streaks but also rain fog, resulting in a decrease in the visual quality of images. However, this work demonstrates that the image degradation caused by falling raindrops can be eliminated by the raindrops themselves. The temporal second-order correlation properties of the photon number fluctuation introduced by falling raindrops has a remarkable attribute: the rain streak photons and rain fog photons result in the absence of a stable second-order photon number correlation, while this stable correlation exists for photons that do not interact with raindrops. This fundamental difference indicates that the noise caused by falling raindrops can be eliminated by measuring the second-order photon number fluctuation correlation in the time domain. The simulation and experimental results demonstrate that the rain removal effect of this method is even better than that of deep learning methods when the integration time of each measurement event is short. This high-efficient quantum rain removal method can be used independently or integrated into deep learning algorithms to provide front-end processing and high-quality materials for deep learning.Comment: 5 pages, 7 figure

Evaluation of the Antidepressant Effect of the Functional Beverage Containing Active Peptides, Menthol and Eleutheroside, and Investigation of Its Mechanism of Action in Mice

Pozadina istraživanja. Depresija je postala globalna prijetnja ljudskom zdravlju. Znanstvenici provode različita ispitivanja uključujući i analizu prehrane kako bi riješili taj problem. Mnogi bioaktivni spojevi iz hrane imaju antidepresivni učinak. No, mali se broj istraživanja bavi razvojem industrijskih prehrambenih proizvoda s antidepresivnim učinkom. Svrha je ovoga rada bila ocijeniti antidepresivni učinak i mehanizme djelovanja funkcionalnog napitka pripremljenog od nekoliko sastojaka s mogućim antidepresivnim svojstvima. Eksperimentalni pristup. Napitak se sastoji od ulja paprene metvice, aktivnih peptida iz kazeina kravljeg mlijeka i ekstrakta sibirskog ginsenga (Acanthopanax senticosus), čiji je aktivni sastojak eleuterozid. Ispitan je dodatak različitih udjela ekstrakta sibirskog ginsenga da bi se utvrdila optimalna koncentracija eleuterozida u ovom funkcionalnom napitku, radi postizanja najboljeg antidepresivnog učinka. Provedena su opsežna ispitivanja ponašanja, uključujući preliminarne testove akutnog stresa te kroničnog nepredvidljivog blagog stresa. Rezultati i zaključci. Rezultati pokazuju da napitak s 15 mg/kg eleuterozida može bitno smanjiti vrijeme mirovanja miša u testovima vješanja za rep i prisilnog plivanja, pozitivno utjecati na preferenciju saharoze i promjene ponašanja u testu otvorenog polja, povećati udjel dopamina, norepinefrina, serotonina i aktivnost superoksid dismutaze, te smanjiti udjel malondialdehida u mozgu miševa. To potvrđuje da su poboljšana neurotransmisija monoamina i antioksidacijski status mogući mehanizmi antidepresivnog učinka. Novina i znanstveni doprinos. U ovom je radu predložen sastav funkcionalnog napitka s antidepresivnim svojstvima za učinkovitu prevenciju i liječenje depresije.Research background. Depression has become a global threat to human health. In order to solve it, researchers have conducted multi-faceted studies including diet. Many food-derived bioactive substances have shown antidepressant effects. However, there are few studies on the design of industrialized food with antidepressant effect. This study aims to evaluate the antidepressant effect of afunctional beverage made from several ingredients with potential antidepressant function and investigate its antidepressant mechanisms. Experimental approach. The beverage consists of peppermint oil, active peptides derived from bovine milk casein and Acanthopanax senticosus extract (ASE) whose active ingredient is eleutheroside. Different amounts of ASE were evaluated to determine the optimal concentration of eleutheroside in this functional beverage to deliver the best antidepressant effect through extensive behavioral testing, including preliminary acute stress experiments and further chronic unpredictable mild stress test. Results and conclusions. The results demonstrated that the beverage with 15 mg/kg of eleutheroside could significantly reduce the mice’s immobility time of tail suspension test and forced swimming test, recover mice’s sucrose preference and behavior changes in the open field test, improve the contents of dopamine, norepinephrine, 5-hydroxytryptamine and the activity of superoxide dismutase and reduce the content of malondialdehyde in mice’s brains, which indicated that the improvement of monoamine neurotransmitter systems and antioxidation was one potential mechanism of antidepressant action. Novelty and scientific contribution. This study provides a design of antidepressant functional beverage and an efficient way for the prevention and treatment of depression

Color of ghost imaging

In this paper, we investigate the color of ghost imaging with thermal and quantum sources. We find that the color of ghost imaging is a composite color that depends on the object and reference fields, which is different from the classical optical imaging. Furthermore, we find that the color of ghost image can be different from the color of the light interacted with the object, which is not achieved in the classic optical imaging. Generally, we can only obtain the monochromatic ghost image by the quantum ghost imaging, while the monochromatic and color ghost image can be obtained by the ghost imaging with thermal source

Tuning the metal-insulator transition in epitaxial SrV O 3 films by uniaxial strain

International audienceUnderstanding of the metal-insulator transition (MIT) in correlated transition-metal oxides is a fascinating topic in condensed matter physics and a precise control of such transitions plays a key role in developing novel electronic devices. Here we report an effective tuning of the MIT in epitaxial SrVO 3 (SVO) films by expanding the out-of-plane lattice constant without changing in-plane lattice parameters, through helium ion irradiation. Upon increase of the ion fluence, we observe a MIT with a crossover from metallic to insulating state in SVO films. A combination of transport and magnetoresistance measurements in SVO at low temperatures reveals that the observed MIT is mainly ascribed to electron-electron interactions rather than disorder-induced localization. Moreover, these results are well supported by the combination of density functional theory and dynamical mean field theory (DFT+DMFT) calculations, further confirming the decrease of the bandwidth and the enhanced electron-electron interactions resulting from the expansion of out-of-plane lattice constant. These findings provide new insights into the understanding of MIT in correlated oxides and perspectives for the design of unexpected functional devices based on strongly correlated electrons