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1.
iScience ; 26(9): 107584, 2023 Sep 15.
Article in English | MEDLINE | ID: mdl-37664598

ABSTRACT

The emergence of two-dimensional (2D) van der Waals magnets provides an exciting platform for exploring magnetism in the monolayer limit. Exotic quantum phenomena and significant potential for spintronic applications are demonstrated in 2D magnetic crystals and heterostructures, which offer unprecedented possibilities in advanced formation technology with low power and high efficiency. In this review, we summarize recent advances in 2D van der Waals magnetic crystals. We focus mainly on van der Waals materials of truly 2D nature with intrinsic magnetism. The detection methods of 2D magnetic materials are first introduced in detail. Subsequently, the effective strategies to modulate the magnetic behavior of 2D magnets (e.g., Curie temperature, magnetic anisotropy, magnetic exchange interaction) are presented. Then, we list the applications of 2D magnets in the spintronic devices. We also highlight current challenges and broad space for the development of 2D magnets in further studies.

2.
Neurol Sci ; 43(7): 4363-4372, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35199252

ABSTRACT

OBJECTIVE: To develop and validate a radiomic prediction model using initial noncontrast computed tomography (CT) at admission to predict in-hospital mortality in patients with traumatic brain injury (TBI). METHODS: A total of 379 TBI patients from three cohorts were categorized into training, internal validation, and external validation sets. After filtering the unstable features with the minimum redundancy maximum relevance approach, the CT-based radiomics signature was selected by using the least absolute shrinkage and selection operator (LASSO) approach. A personalized predictive nomogram incorporating the radiomic signature and clinical features was developed using a multivariate logistic model to predict in-hospital mortality in patients with TBI. The calibration, discrimination, and clinical usefulness of the radiomics signature and nomogram were evaluated. RESULTS: The radiomic signature consisting of 12 features had areas under the curve (AUCs) of 0.734, 0.716, and 0.706 in the prediction of in-hospital mortality in the internal and two external validation cohorts. The personalized predictive nomogram integrating the radiomic and clinical features demonstrated significant calibration and discrimination with AUCs of 0.843, 0.811, and 0.834 in the internal and two external validation cohorts. Based on decision curve analysis (DCA), both the radiomic features and nomogram were found to be clinically significant and useful. CONCLUSION: This predictive nomogram incorporating the CT-based radiomic signature and clinical features had maximum accuracy and played an optimized role in the early prediction of in-hospital mortality. The results of this study provide vital insights for the early warning of death in TBI patients.


Subject(s)
Brain Injuries, Traumatic , Nomograms , Brain Injuries, Traumatic/diagnostic imaging , Hospital Mortality , Humans , Retrospective Studies , Tomography, X-Ray Computed/methods
3.
Adv Funct Mater ; 31(7): 2008452, 2021 Feb 10.
Article in English | MEDLINE | ID: mdl-33349747

ABSTRACT

The world-wide spreading of coronavirus disease (COVID-19) has greatly shaken human society, thus effective and fast-speed methods of non-daily-life-disturbance sterilization have become extremely significant. In this work, by fully benefitting from high-quality AlN template (with threading dislocation density as low as ≈6×108 cm-2) as well as outstanding deep ultraviolet (UVC-less than 280 nm) light-emitting diodes (LEDs) structure design and epitaxy optimization, high power UVC LEDs and ultra-high-power sterilization irradiation source are achieved. Moreover, for the first time, a result in which a fast and complete elimination of SARS-CoV-2 (the virus causes COVID-19) within only 1 s is achieved by the nearly whole industry-chain-covered product. These results advance the promising potential in UVC-LED disinfection particularly in the shadow of COVID-19.

4.
J Neurosci Res ; 95(8): 1677-1689, 2017 08.
Article in English | MEDLINE | ID: mdl-27935632

ABSTRACT

It is now accepted that white matter abnormalities play an important role in demyelinating diseases and a wide range of psychiatric disorders. Experimental demyelination (especially induced by cuprizone) has been investigated extensively. However, details regarding demyelination and ultrastructural changes of myelinated fibers have not been previously reported. Therefore, we determined the extent of demyelination using quantitative stereology. Mice exposed to cuprizone in the current study showed abnormal anxiety-like behavior without impaired spatial learning or memory. The myelinated fibers in whole corpus callosum of mice exposed to cuprizone showed extensive myelin deficiencies and occasional axonal injuries. The total length of the myelinated fibers in whole corpus callosum of mice exposed to cuprizone was significantly decreased by 45% compared with control mice. The loss of myelinated fibers was mainly due to the marked loss of the fibers with a diameter of 0.4 to 0.8 µm. The g-ratio of the myelinated fibers in the corpus callosum of mice exposed to cuprizone (0.69 ± 0.02) was significantly decreased compared with control mice (0.76 ± 0.02). These results might help us to further understand the role of white matter abnormalities in demyelinating diseases or a wide range of psychiatric disorders. © 2016 Wiley Periodicals, Inc.


Subject(s)
Corpus Callosum/pathology , Corpus Callosum/ultrastructure , Demyelinating Diseases/chemically induced , Demyelinating Diseases/pathology , Animals , Chelating Agents/toxicity , Corpus Callosum/drug effects , Cuprizone/toxicity , Disease Models, Animal , Exploratory Behavior/drug effects , Male , Maze Learning/drug effects , Mice , Mice, Inbred C57BL , Microscopy, Electron, Transmission , Myelin Basic Protein/metabolism , Nerve Fibers, Myelinated/pathology , Nerve Fibers, Myelinated/ultrastructure , Rotarod Performance Test
5.
Neurobiol Aging ; 47: 139-148, 2016 11.
Article in English | MEDLINE | ID: mdl-27592282

ABSTRACT

Many studies have shown that estrogen replacement therapy (ERT) can improve cognitive function and affect the structure of the brain, including the white matter, in postmenopausal women. However, it is unclear whether ERT plays an important role in white matter remodeling in postmenopausal women. In the present study, middle-aged (9-12-month-old) female Sprague-Dawley rats were bilaterally ovariectomized (OVX) and randomly allocated to the vehicle treatment (OVX+Veh) group or the 17ß-estradiol replacement (OVX+E) group. After 1 month of treatment, spatial learning and memory capacities were assessed using the Morris water maze task. Then, stereological methods were used to quantitatively evaluate white matter volume and myelinated fiber parameters of the white matter in the 2 groups of rats. The results revealed that the mean escape latency of the OVX+E rats in the Morris water maze task was significantly shorter than that of the OVX+Veh rats. The volume density of the myelinated fibers and the volume density and total volume of the myelin sheaths were significantly greater in the OVX+E rats than in the OVX+Veh rats. However, there were no significant differences in white matter volume or in the total length or volume of myelinated fibers in white matter between the 2 groups of rats. Our results showed that 1 month of ERT had significant beneficial effects on spatial learning capacity and on the myelin sheaths and myelinated fibers in the white matter of middle-aged OVX rats.


Subject(s)
Estradiol/administration & dosage , Estradiol/pharmacology , Estrogen Replacement Therapy , Myelin Sheath/pathology , Ovariectomy , White Matter/pathology , Animals , Female , Humans , Maze Learning/drug effects , Memory/drug effects , Postmenopause , Rats, Sprague-Dawley , Spatial Learning/drug effects
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