Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Learning-Based Analysis of the Influence of Illustration Design on Emotions in Immersive Art

With the rapid development of information technology, art has become the most widely used form of visual art in the media. It is not only expressive but also closely related to the traditional art of painting. Excellent hand-drawn illustrations not only have stronger image expression and effect but also have an impact on people’s emotions. Therefore, this paper first examines immersive art in contemporary art, including the research on the concept of “immersion art,” the “immersion” embodied in art, and the “projection mechanism” in “immersion art,” and second, the research is based on deep learning. However, in view of the limitation of personal professional direction and the lack of understanding of the contents of psychology, semiotics, anthropology, and other multidisciplinary fields, the research direction of this paper mainly focuses on the preliminary identification and selection of material semantics, focusing on planning, selection, and construction The atmosphere of illustration, the interpretation of psychology, and the study of semiotics are shallow. In addition, teachers conduct teaching evaluation when the concept of teaching evaluation is not clear; there are defects in teaching evaluation objectives; there are many problems in the relationship between ability evaluation and knowledge evaluation; in the process of illustration teaching evaluation, summative evaluation is used instead of procedural evaluation. The phenomenon is serious. Finally, based on deep learning illustration design and emotional research, analyze the “healing” illustration cognitive visual case and compare deep learning and shallow learning illustrations. It is concluded that the assessment of in-depth teaching can provide students with more learning opportunities, access to more learning-related materials, and more transparency and freedom in questions. Interpret illustrations from a semiotic perspective, extract emotional semantic symbols from illustrations, compare them with emotional semantic maps of extended materials, locate and quickly create desired materials and colors. The emotional semantic symbols expressed in the works confirm the accuracy of the Guangcai emotional semantic map and also show that “healing” illustrations can effectively alleviate people’s negative emotions.
In vitro Antidiabetic Activity of Root and Bioactive Fractions in Extract of Decalepis

Plants are naturally produced important sources of medicines. Today, a large number of drugs in use is derived from plants. A Decalepis hamiltonii (Asclepiadaceae) to treat the various diseases of to human such as diabetic and cancer. To present investigate on antioxidant activity, invitro antidiabetic activity and In silico approaches for antidiabetic activity of the plant Decalepis hamiltonii . The methodology includes, DPPH, ABTS and In vitro diabetic assay α-glucose and α-amylase. In silico approaches for antidiabetic activity of major compounds for GC-MS. Docking analysis was carried using PBRΥ protein and ERRα receptor using for protein target gene interaction. The results showed that methanolic root extract of Decalepis hamiltonii has higher percentage of inhibition for DPPH (93%), ABTS (90%) which is comparable with respective standards and dose increase in percentage antidiabetic enzymes activity α-glucose (82% to 92%) and α-amylase enzyme (73% to 90).
HiPAS: High Performance Adaptive Schema Migration Evaluation of a Self-Optimizing Database Migration

– HiPAS is a database migration method, aimed at reducing downtime during offline migrations by automatically adapting to available system resources. Investigating the applicability of adaptive capabilities for database migrations, two stages of system complexity, adaption and anticipation, were mapped onto the requirement of utilizing a system up to an optimal degree in order to achieve the shortest possible transfer duration. The developed method is automated by implementing the HiPAS software, which adapts to its environment by continuously monitoring relevant system information, and increasing or decreasing the current parallelization degree whenever necessity is assumed. To enable a flexible adaption, the total amount of migration data is partitioned into equal sized transfer jobs being distributed across available instances and networks. Since HiPAS is invoked on the database layer, and controlled by a temporarily created autonomous database user, migration metadata is stored inside tables thus being highly integrated with the actual migration data. HiPAS was designed and evaluated iteratively following the IS research framework and reveals significant downtime reduction potential compared to non-adaptive migration approaches like Oracle “Data Pump”. Our results serve as a contribution to all researchers and practitioners in investigating fields of application for adaptability mechanisms.
Multiobjective Optimization of Airport Ferry Vehicle Scheduling during Peak Hours Based on NSGA-II

Airport ferry vehicles are used to transport passengers between the far apron and terminals. During the peak hours of flight arrival or departure, the demand for ferry vehicles will increase, and improper scheduling will result in significant delays. In this study, we construct a 0–1 integer programming scheduling model for ferry vehicles with multiple objectives: minimize flight delays and vehicle travel distances and balance vehicle workloads when there is an insufficient number of ferry vehicles. To solve the multiobjective model, this study selects the second version of the nondominated sorting genetic algorithm-II as the main framework and designs a modified coding and decoding scheme to solve the constraint problem in the model. The proposed model and algorithm are verified using actual data from Kunming Changshui International Airport, China. Compared with the scheduling method of manual first come first serve, the total delay time of the proposed model is reduced by 24.52%, the transit distance by 6.63%, and the balance index by 24.05%, which helps the airport solve the problem of insufficient ferry vehicles during peak hours. Comparison results show that the proposed model has a shorter calculation time and better distribution of solution sets than three state-of-the-art multiobjective optimization algorithms: MOPSO, MOACO, and SPEA-II. This research can help airports reduce flight delays, vehicle purchases, and operation costs.
Jiedu-Yizhi Formula Alleviates Neuroinflammation in AD Rats by Modulating the Gut Microbiota

Background The Jiedu-Yizhi formula (JDYZF) is a Chinese herbal prescription used to treat Alzheimer's disease (AD). It was previously confirmed that JDYZF can inhibit the expression of pyroptosis-related proteins in the hippocampus of AD rats and inhibit gut inflammation in AD rats. Therefore, it is hypothesized that JDYZF has a regulatory effect on the gut microbiota. Methods In this study, an AD rat model was prepared by bilateral hippocampal injection of Aβ25-35 and AD rats received high, medium, and low doses of JDYZF orally for 8 weeks. The body weights of the AD rats were observed to assess the effect of JDYZF. The 16S rRNA sequencing technique was used to study the regulation of the gut microbiota by JDYZF in AD rats. Immunohistochemical staining was used to observe the expression levels of Caspase-1 and Caspase-11 in the hippocampus. Results JDYZF reduced body weight in AD rats, and this effect may be related to JDYZF regulating body-weight-related gut microbes. The 16S rRNA analysis showed that JDYZF increased the diversity of the gut microbiota in AD rats. At the phylum level, JDYZF increased the abundances of Bacteroidota and Actinobacteriota and decreased the abundances of Firmicutes, Campilobacterota, and Desulfobacterota. At the genus level, the abundances of Lactobacillus, Prevotella, Bacteroides, Christensenellaceae_R-7_group, Rikenellaceae_RC9_gut_group, and Blautia were increased and the abundances of Lachnospiraceae-NK4A136-group, Anaerobiospirillum, Turicibacter, Oscillibacter, Desulfovibrio, Helicobacter, and Intestinimonas were decreased. At the species level, the abundances of Lactobacillus johnsonii, Lactobacillus reuteri, and Lactobacillus faecis were increased and the abundances of Helicobacter rodentium and Ruminococcus_sp_N15. MGS-57 were decreased. Immunohistochemistry showed that JDYZF reduced the levels of Caspase-1- and Caspase-11-positive staining. Conclusion JDYZF has a regulatory effect on the gut microbiota of AD rats, which may represent the basis for the anti-inflammatory effect of JDYZF.
Exceptions vs. Non-exceptions in Sound Changes: Morphological Condition and Frequency

This paper takes an approach different from most previous studies by firstly comparing exceptions with non-exceptions in the diphthongization of [i] to [ei] in Mandarin (AD 1324–Present) to locate factors that explain exceptions. Then it focuses solely on non-exceptional morphemes in this process by comparing morphemes at the forefront of this process with those undergoing it later to examine factors to explain morphemes leading this sound change. Statistical analysis shows that morphemes with the highest frequency among all related morphemes tend to be exceptions to diphthongization of [i] to [ei], and morphemes with high frequency among those non-exceptional morphemes tend to undergo this process earlier. In addition, the factor of frequency change, a proposal of this paper, is statistically significantly correlated with morphemes that lead diphthongization. The morphological condition has been rejected as statistically significant both for explaining exceptions to sound change and leading morphemes in sound change.
Aspects of Increasing Efficiency of Young Football Players Physical Training Process

The results of the research indicate the intensification of training and competitive loads in children's football and their negative impact on the body of young athletes. The increase in the complexity of young football players training occurs due to the system of children's competitions and their requirements for the training process ar- rangement, the choice of criteria for monitoring loads and assessing athletes condition. The ways of minimizing pedagogical errors and preventing the use of inadequate loads in the training process are shown based on the strategy of preparing a sports reserve for professional football and maintaining health of young football players.
The strength prediction model of iron ore sinter based on an artificial neural network

The iron ore sinter is still the main raw material for the blast furnace ironmaking process, its properties, such as strength and reducibility, are of vital importance to the productivity and the smooth operation of the blast furnace. In the present study, one model based on an artificial neural network (ANN) was established to predict the sinter strength. The ANN model was trained with the sample set, which was generated from the credible data from the published papers. The comparison between the direct prediction model and the indirect prediction model with the amount of liquid phase and spinal phase calculated with thermodynamic theory as the middle layer was carried out. The results show that the indirect ANN model gave much higher accurate prediction results than that of the direct one without the middle layer.The parametric study with the validated model shows that the sinter strength increased first with increasing the SiO2 to 5.4% and then decreased with further increasing the SiO2.
Attitudes of Registered Nurses caring for adults with intellectual and developmental disabilities in an acute care setting: A mixed method study

Adults with intellectual and developmental disabilities (I/DD) avoidable health disparities, which may be related to healthcare professionals ’ attitudes. To examine the attitudes and experiences of nurses caring for adults with I/DD in the acute care setting.Methods A mixed method approach was utilized. Data was collected from January to March 2021. Data collection consisted of the ATDP-B questionnaire completed by 31 RNs and Eight RNs interviewed via Zoom. ResultsQuantitative data from the ATDP-B questionnaire revealed most nurses had negative attitudes towards disabled persons. Four themes emerged from the qualitative data: Experience, setting, emotional responses, and education. DiscussionPractice implications include knowledge deficits and lack of confidence reported by the participants. Incorporating nursing care of adults with I/DD in the curriculum and in practice may improve patient safety and health equity for all individuals.
Radio properties of a complete sample of nearby groups of galaxies

Much of the evolution of galaxies takes place in groups where feedback has the greatest impact on galaxy formation. By using an optically selected, statistically complete sample of 53 nearby groups (CLoGS), observed at radio (GMRT) and X-ray (Chandra and XMM-Newton) frequencies, we aim to characterise the radio-AGN population in groups and examine their impact on the intra-group gas and member galaxies. In this dissertation, low-frequency GMRT radio images of the nearby (<80 Mpc) central brightest group ellipticals from the high richness CLoGS sub-sample are presented for the first time at 235 and 610 MHz. Using the sensitivity to older electron populations at 235 MHz and the resolution of 610 MHz as a key to identify past and current AGN activity, a detailed analysis of the radio properties for each of the central group radio sources is performed, with the results being in addition combined with findings from the X-ray observations.
An event attribution of the 2010 drought in the South Amazon region using the MIROC5 model

We produced 100‐member event attribution ensembles during 2009–2012 under all forcing conditions and in two different counterfactual worlds without anthropogenic forcing (mainly greenhouse gases and aerosols) and without aerosol emission changes using the MIROC5 atmospheric general circulation model. It seemed that both human influences and the sea surface temperature (SST) natural variability increased probabilities of the 2010 severe drought in the South Amazon region, and that changes in aerosols emissions had little effect on the drought. It should be noted that our assessments were sensitive to bias corrections according to the relationships between the SST natural variability and precipitation.
Intratubular penetration ability in the canal perimeter using HiFlow bioceramic sealer with warm obturation techniques and single cone

Background The aim of this paper was to evaluate the intratubular penetration percentage in the perimeter of the canals of the calcium silicate-based sealer HiFlow, using three warm obturation techniques, continuous wave (CW) and vertical condensation (VC) with two different types of gutta-percha (conventional (NG) and bioceramic-coated (BG), GuttaCore (GC) and single cone (SC) with BG in different root thirds. Material and Methods 180 human teeth with a single root were selected including incisors, canines and premolars were prepared and randomly divided into six groups (n=30). Teeth were filled using a bioceramic sealer TotalFill BC Sealer HiFlow (HiFlow) and two different types of gutta-percha, with CW, VC and GC techniques, the teeth in the control group were filled with SC technique and BG gutta-percha. The teeth were sectioned and evaluated as one-third portions in each case under a confocal laser microscope. The penetration ability in the canal’s perimeter was carried out with the Autocad® programme. Data was analyzed using Levene’s test (p<0,05), ANOVA test (p<0,05), Welch’s comparison test (p<0,05), Games-Howell multiple comparison test (p<0,05), Bonferroni test (p<0,05). Results The percentages relative to penetration was higher in the warm obturation techniques than the SC in all thirds evaluated. Games-Howell test (p<0,05) showed up significant differences in multiple comparisons. There was greater penetration in the perimeter of the canals in the coronal third than in the apical third in all of the techniques. Conclusions The warm obturation techniques (CW, VC and GC) generated a greater intratubular penetration percentage in the canal perimeter of the sealer than the single cone in all thirds. Key words:HiFlow, calcium silicate-based sealer, confocal laser microscope, dentinal tubules.
Risk and the importance of absent symptoms in constructions of the ‘cancer candidate’

Cancer is a disease that is imbued with notions of risk, with individuals expected to avoid ‘risky’ behaviours and act swiftly when symptoms indicating a risk of cancer emerge. Cancer symptoms, however, are often ambiguous and indicative of a number of other conditions, making it difficult for people to assess when symptoms may, or may not, be the result of cancer. Here, we discuss interview data from a study examining the symptom appraisal and help-seeking experiences of patients referred for assessment of symptoms suspicious of a lung or colorectal cancer in the North-East of England. We explore how individuals draw upon ideas about cancer risks to assess whether cancer may be a possible explanation for their symptoms and to inform their decisions about help-seeking. In our analysis, we applied the concept of candidacy to the data, to highlight how lay epidemiology shapes people’s perceptions of cancer risk, and their subsequent responses to it. We found that participants appraised their symptoms, and the likelihood that they may have cancer, in light of relevant information on risk. These sources of information related to lifestyle factors, family history of cancer, environmental factors, and importantly, the symptomatic experience itself, including the absence of symptoms that participants associated with cancer. The importance of experienced, and absent, symptoms was a core element of participants’ everyday constructions of the ‘cancer candidate’, which informed symptom appraisal and subsequent help-seeking decision-making.
Concentration of Radiation Displacement Defects in Ca0.28Ba0.72Nb2O6 Crystal as Function of Electrons or Neutrons Energy

This work is devoted to the calculation of the concentration of the radiation displacement defects in Ca 0 . 28 Ba 0 . 72 Nb 2 O 6 . The main purpose of this work is to determine the dependence of the concentration of defects induced by electrons and neutrons on Ca 0 . 28 Ba 0 . 72 Nb 2 O 6 on their energy. The dependencies were determined on the basis of calculations made using the Monte Carlo method realized in the Atom Collision Cascade Simulation program. These dependencies can be approximated to known analytical functions. Energy dependence of radiation displacement defects concentrations as well as cascade func- tion versus the energy of electrons and neutrons are discussed.
Origin of Far-Infrared Emission in Seyfert and Starburst Galaxies(Abstracts of Doctral Dissertations)

To study the origin of far-IR emission in starburst nuclei (SBNs) and active galactic nuclei (AGNs), the 25-60 μm spectral index [α(25, 60)] has been compared with the intensity ratios of [O I] λ6300 to Hα ([O I]/Hα) and H 2 υ=1-0 S(1) 2.12 μm to Brγ [S(1)/Brγ] for 48 galaxies (16 SBNs, 27 AGNs, and five LINERs).
Diagnosis of Cervical Intraepithelial Neoplasia and Invasive Cervical Carcinoma by Cervical Biopsy under Colposcopy and Analysis of Factors Influencing

Objective To explore the diagnosis of cervical intraepithelial neoplasia (CIN) and invasive cervical carcinoma (ICC) by cervical biopsy under colposcopy and analyze the factors influencing the detection. Methods The clinical data of 134 CIN confirmed by colposcopy biopsy in our hospital from June 2018 to October 2019 and subsequent LEEP treatment were analyzed retrospectively. All patients were diagnosed pathologically after the operation. The diagnosis of CIN by cervical biopsy under colposcopy was observed. The influencing factors of CIN and ICC detected by colposcopy biopsy were analyzed by the pathological results of loop electrosurgical excision procedure (LEEP) as the gold standard. Results After LEEP, the number of the no intraepithelial or malignant lesions (NILM) or ICC were higher than that of colposcopy biopsy, and CIN-III was lower than that of colposcopy biopsy, the differences were all statistically significant (P < 0.05). Among the 134 patients, the coincidence rate between colposcopy biopsy and LEEP examination results was 79.10% (106/134), and postoperative pathological findings showed that there were 13 cases (9.70%) with the pathological upgrade and 19 cases (14.18%) with pathological decrease. Multivariate logistic analysis showed that the image quality of colposcopy image, atypical blood vessels, biopsy sampling method, and visible lesion area of the cervix were the independent influencing factors for the detection of CIN and ICC by colposcopy biopsy (P < 0.05). Conclusion CIN and ICC can be diagnosed by colposcopy cervical biopsy and postoperative histopathology. However, there are still some missed and misdiagnosed cervical biopsies under colposcopy, and the combined detection of the two can further ensure the diagnosis rate. The clinical registration number is E2018091.
Plasma synthesis of ammonia by asymmetric electrode arrangement

ABSTRACT The plasma reactors are of great interest in ammonia synthesis because of their green performance, small-scale process capabilities, and various design and application options. The purpose of this research is to synthesize water-soluble ammonia by plasma electrolysis which utilizes nitrogen atmospheric pressure plasma generated by DC discharge. Then, we investigate the influence of the plasma characteristics such as the electron temperature and density on the resultant ammonia concentration. For this purpose, the model of the Hoffman electrolysis apparatus was designed for separating the anodic and the cathodic parts, producing plasma, and finally interacting with an aqueous solution surface. This procedure allows us to compare the mechanism of the classical electrolysis with plasma electrolysis. The concentration of synthesized ammonia resulting from the reaction of active species in the interaction between plasma and the liquid surface on the cathode side of the device was obtained. The plasma electron temperature and density were measured by the standard Boltzmann plot method and the Stark broadening of via optical emission spectroscopy (OES), respectively, and their effects on the interaction between plasma and the water surface were investigated, which leads to nitrite and ammonia synthesis. The intensity of the emitted light varied as the discharge voltage was increased according to 8kV, 9kV, 10kV, and 11kV. As a result, the plasma electron temperature, density, and the synthesis of additional water-soluble ammonia parameters increase. Multiple parameter linear regression was used to evaluate the effect of varying the voltage on these parameters, which was positive.