This study discusses the application value of behavior analysis based on deep learning in the evaluation of depression in art students. Because of the professional characteristics and creative ...pressure, art college students are at high risk of mental health, among which the incidence of depression is increasing year by year, which has a serious impact on their studies and quality of life. With the rapid development of AI technology, deep learning algorithms show significant advantages in processing complex data and pattern recognition. In this study, by collecting the daily behavior data of art college students and combining it with a deep learning algorithm, an efficient depression evaluation model was constructed. The model aims to realize the early identification and evaluation of depressive symptoms of art college students and provide new methods and means for mental health management. The study collected data using various methods such as questionnaire surveys, mobile application tracking, and social media data crawling, and went through detailed data preprocessing steps, including missing value processing, outlier detection, data standardization, and feature selection, to ensure data quality and model training effectiveness. Subsequently, this study designed a deep learning model (CNN-LSTM) based on the combination of Convolutional Neural Network (CNN) and Long Short Term Memory Network (LSTM), which can capture temporal dependencies and spatial relationships between features in the data, thereby improving the accuracy of depression assessment. The empirical findings demonstrate that the CNN-LSTM integrated model has attained remarkable accuracy in assessing the depressive tendencies of art students, underscoring the efficacy of deep learning techniques in behavioral analysis. This research further scrutinizes the impact of various attributes on the predictive outcomes, highlighting the significance of social interaction frequency, academic stress, and artistic engagement levels in depression assessment.
In this study, high solid loading and low viscosity cordierite slurries are successfully developed for the first time for photopolymerization-based additive manufacturing. The processability of the ...slurries is mainly determined by their rheological properties and photocuring parameters. The slurry preparation involves the orthogonal optimization of compositions in order to achieve suitable viscosity, stability and homogeneity. The photocuring parameters of the as-prepared slurries, including penetration depth Dp and critical exposure Ec, are also determined experimentally. Results show that viscosity increases with reduction in particle size. A higher solid-volume fraction also results in an exponential growth in viscosity. As for the dispersant amount, a concentration of 5 wt% leads to the lowest viscosity. Particle size also play an important role in the solid loading capacity of the slurries, as results suggest that smaller particles improve performance. In terms of the photocuring behaviors, the addition of 2 wt% photoinitiator generates an optimal curing process. 40 vol% solid loading leads to the thickest curing depth for all slurries with different types of particle sizes. Finally, a cordierite part with a complex hollow structure and a fine resolution is successfully fabricated. The present study offers a material basis for the polymerization-based 3D printing of porous cordierite structures.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
We show that unexpected price-level movements generate sizable wealth redistribution in the Euro Area (EA), using sectoral accounts and newly available data from the Household Finance and Consumption ...Survey. The EA as a whole is a net loser of unexpected price-level decreases, with Italy, Greece, Portugal, and Spain losing most in per capita terms, and Belgium and Malta being net winners. Governments are net losers of deflation, while the household (HH) sector is a net winner in the EA as a whole. HHs in Belgium, Ireland, Malta, and Germany experience the biggest per capita gains, while HHs in Finland and Spain turn out to be net losers. Considerable heterogeneity exists also within the HH sector: relatively young middle class HHs are net losers of deflation, while older and richer HHs are winners. As a result, wealth inequality in the EA increases with unexpected deflation, although in some countries (Austria, Germany, and Malta) inequality decreases due to the presence of relatively few young borrowing HHs. We document that HHs' inflation exposure varies systematically across countries, with HHs in high-inflation EA countries holding systematically lower nominal exposures.
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BFBNIB, IZUM, KILJ, NMLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Poking palpebral conjunctiva evoked upper-eyelid retraction during ophthalmic surgery. Iatrogenic eyelid ptosis occurred if eyelid branch of lachrymal nerve was sectioned. Mesencephalic trigeminal ...nucleus (Vme) neurons were labeled when tracer injected into lachrymal nerve innervating eyelid Mueller's muscle. Masseter afferent Vme neurons projecting to oculomotor nucleus (III) was observed in toad and rat, which helps amphibians to stare prey when they open mouth widely to prey. We hypothesized single Vme neurons may have peripheral collaterals to both eyelid and masseter muscles. WGA-594 was injected into upper eyelid, and WGA-488 was simultaneously delivered into ipsilateral masseter muscle in the same rat. Then, double labeled Vme neurons were found under both conventional and confocal microscope. Meanwhile, contact of WGA-594 positive eyelid afferent Vme neurons with WGA-488 labeled masseter afferent ones were observed sometimes. Combined with our previous observation of oculomotor projection Vme neurons, we thought WGA-594/488 double labeled Vme cells, at least some of them, are oculomotor projecting ones. Contact between eyelid and masseter afferent Vme neurons are supposed to be electrotonically coupled, based on a line of previous studies. If exogenous or genetic factors make these Vme neurons misinterpret masseter input as eyelid afferent signals, these Vme neurons might feedforward massages to eyelid retractor motoneurons in the III. Besides, oculomotor projecting Vme neurons might be co-fired by adjacent masseter afferent Vme neurons through electrotonic coupling once the masseter muscle is activated. In these cases, Marcus Gunn Syndrome might occur. This finding leads to a new hypothesis for the Syndrome.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
A brief review of co-doping Zhang, Jingzhao; Tse, Kinfai; Wong, Manhoi ...
Frontiers of Physics,
12/2016, Volume:
11, Issue:
6
Journal Article
Peer reviewed
Open access
Dopants and defects are important in semiconductor and magnetic devices. Strategies for controlling doping and defects have been the focus of semiconductor physics research during the past decades ...and remain critical even today. Co-doping is a promising strategy that can be used for effectively tuning the dopant populations, electronic properties, and magnetic properties. It can enhance the solubility of dopants and improve the stability of desired defects. During the past 20 years, significant experimental and theoretical efforts have been devoted to studying the characteristics of co-doping. In this article, we first review the historical development of co-doping. Then, we review a variety of research performed on co-doping, based on the compensating nature of co-dopants. Finally, we review the effects of contamination and surfactants that can explain the general mechanisms of co-doping.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
A covalent organic framework–based strategy was designed for label-free colorimetric detection of pesticides. Covalent organic framework–based nanoenzyme with excellent oxidase-like catalytic ...activity was synthesized. Unlike other artificial enzymes, porphyrin-based covalent organic framework (p-COF) as the oxidase mimic showed highly catalytic chromogenic activity and good affinity toward TMB without the presence of H
2
O
2
, which can be used as substitute for peroxidase mimics and H
2
O
2
system in the colorimetric reaction. Based on the fact that the pesticide-aptamer complex can inhibit the oxidase activity of p-COF and reduced the absorbance at 650 nm in UV–Vis spectrum, a label-free and facile colorimetric detection of pesticides was designed and fabricated. Under the optimized conditions, the COF-based colorimetric probe for pesticide detection displayed high sensitivity and selectivity. Taking fipronil for example the limit of detection was 2.7 ng/mL and the linear range was 5 –500,000 ng/mL. The strategy was successfully applied to the detection of pesticides with good recovery , which was in accordance with that of HPLC–MS/MS. The COF-based colorimetric detection was free of complicated modification H
2
O
2
, which guaranteed the accuracy and reliability of measurements. The COF-based sensing strategy is a potential candidate for the sensitive detection of pesticides of interests.
Graphical Abstract
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
(Sieb. et Zucc.) Wedd. (
) is a significant plant in the
genus. Traditionally, it has been used in ethnomedicine for treating various conditions such as rheumatic arthralgia, fractures, falling ...injuries, nephritis dropsy, limb numbness, pruritus, fatigue-induced internal imbalances, and irregular menstruation. Modern pharmacological studies have confirmed its therapeutic potential, including anti-inflammatory, immunosuppressive, analgesic, and anti-rheumatoid arthritis properties. To gather comprehensive information on
, a thorough literature search was conducted using databases like Web of Science, PubMed, ProQuest, and CNKI. This review aims to provide a comprehensive understanding of
, covering various aspects such as ethnomedicinal uses, geographical distribution, botanical description, phytochemistry, pharmacology, and quality control. The goal is to establish a solid foundation and propose new research avenues for exploring and developing potential applications of
. So far, a total of one hundred and eighty-nine compounds have been isolated and identified from
, including flavonoids, phenolics, nitrogen compounds, steroids, terpenoids, coumarins, phenylpropanoids, fatty acids and their derivatives, and other compounds. Notably, flavonoids and fatty acids have demonstrated remarkable antioxidant and anti-inflammatory properties. Additionally, these compounds show promising potential in activities such as analgesia, hypoglycemia, and hypolipidemia, as well as toxicity. Despite extensive fundamental studies on
, further research is still needed to enhance our understanding of its mechanism of action and improve quality control. This requires more comprehensive investigations to explore the specific material basis, uncover new mechanisms of action, and refine quality control methods related to
. By doing so, we could contribute to the further development and utilization of this plant.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Characteristics of anti‐ambipolar transistors (AATs) are perfectly represented by a model of series transistors, and the transistor parameters are extracted from experimentally observed ...characteristics, where not only the transfer but also the output characteristics follow the square dependence derived from the saturated region. The consistency of the observed and calculated results demonstrates carriers are all recombined in the lateral p–n junction region. The transfer curve has a characteristic sharp peak, but when there is an overlapped region (Vthh > Vthe), the peak is rounded because both transistors are operated in the linear regions. In such a case, a nonzero current appears even at negative VD accompanied by a constant ID region at large negative VD. This study offers a quantitative analysis of organic AATs depending on the different operation regions.
Anti‐ambipolar transistors (AATs) are quantitatively analyzed, and the characteristics are estimated from the transfer and output characteristics using a series circuit model. While an ordinary AAT only works at positive VD, negative anti‐ambipolar behavior and constant ID region appear at negative VD when Vthh > Vthe.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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