Basis Of Judgment Research Articles

The Consistency Between the Preoperative 3D-Reconstructed Meckel's Cave and the Intraoperative Balloon Results in Percutaneous Balloon Compression.

To predict the volume and shape of the balloon before PBC by reconstructing the Meckel's cave (MC) and establishing a volumetric measurement model, supporting preoperative preparation and intraoperative decisions. The clinical data of 31 patients with good therapeutic effects who underwent PBC are retrospectively collected, including preoperative MRI, the volume of contrast agent injected into the balloon, and intraoperative lateral X-ray images. The MC on the affected side of the 31 patients is reconstructed based on MRI using 3D Slicer, while the volume of the MC is calculated to compare with the volume of contrast agent. The width (W) and length (L) of the model of the MC in lateral view are measured and used to classify the shape of the MC based on W/L. The consistency between the W/L of the model of the MC and the W/L of the intraoperative balloon is evaluated. For volume, the mean value of the models of the MC (V1) in 31 patients is 399.77±155.13 mm³, while the mean value of the contrast agent injected during PBC (V2) is 539.03±111.93 mm³. The formula obtained by linear regression is V2= 392.1 + 0.3676×V1. Based on the value of W/L, the shape of the MC is classified into thin "pear" in 5 patients (16.13%), standard "pear" in 22 patients (70.97%), and square "pear" in 4 patients (12.90%). There is no significant difference in W/L between the models of the MC and the intraoperative balloons in 31 patients (P=0.221). In 31 patients with good efficacy, it is verified that the prediction of the MC before PBC by 3D Slicer is consistent with the actual situation of the intraoperative balloon. This method can provide certain basis for preoperative preparation and intraoperative judgment.

The Man of Action of French Romanticism. Aesthetic Views of Victor Hugo and their Embodiment in Poetry and Dramaturgy

The subject of the study is the fundamental philosophical and aesthetic problems in the romantic aesthetics of one of its leaders in France - Victor Hugo. The evolution of his aesthetic views is traced - from adherence to the aesthetics of classicism and royalist views to the established theory and artistic practice of romanticism, colored with democratic pathos. The core of Hugo's aesthetics is revealed - the original concept of the grotesque, which has found a convincing embodiment in his poetry, drama, historical novels. Such main themes as the correlation of the tragic and the comic, the beautiful and the ugly, the sublime and the base, content and form, freedom and order, historical truth and fiction in art, romantic symbolization in the context of the formation of the concept of the artistic essence of romanticism by Hugo are considered. The features of his artistic and aesthetic concept related to the national specifics of art, local color, the problems of artistic taste, inspiration, imagination, aesthetic pleasure, artistic style, genius, talent are analyzed. The main conclusion of the study is the conclusion that all these topics form the basis of Hugo's judgments about the nature of romantic drama as the pinnacle of 19th century poetry and its differences from classic tragedy. The multidimensional nature of this study predetermined the use of a number of methodological approaches: philosophical and aesthetic approach, art history analysis, comparative, interdisciplinary methods. The author's special contribution lies in the fact that the study of Hugo's aesthetic theory and artistic practice is based on original material. The article provides a comparative analysis of the embodiment of Hugo's aesthetic views in various types and genres of art. Such a study was undertaken for the first time in domestic science.

Establishment and evaluation of early in-hospital death prediction model for patients with acute pancreatitis in intensive care unit

To investigate the death risk prediction factors of acute pancreatitis (AP) patients in intensive care unit (ICU), and to establish a death prediction model and evaluate its efficacy. A retrospective cohort study was conducted using the data in the Medical Information Mart for Intensive Care-III (MIMIC-III). The clinical data of 285 AP patients admitted to the ICU in the database were collected, including age, gender, blood routine and blood biochemical indicators, comorbidities, simplified acute physiology score III (SAPS III) and hospital prognosis. By using univariate analysis, the differences in the clinical data of the patients were compared between the two groups. Binary multivariate Logistic regression analysis was used to screen out independent predictors of in-hospital death in AP patients. A death prediction model was established, and the nomogram was drawn. The receiver operator characteristic curve (ROC curve) was plotted, and the area under the ROC curve (AUC) was used to test the discrimination of the prediction model. In addition, the prediction model was compared with the SAPS III score in predicting in-hospital death. The calibration ability of the prediction model was evaluated by the Hosmer-Lemeshow goodness of fit test, and a calibration map was drawn to show the calibration degree of the prediction model. Among 285 patients with AP, 29 patients died in the hospital and 256 patients survived. Univariate analysis showed that the patients in the death group were older than those in the survival group (years old: 70±17 vs. 58±16), and had higher white blood cell count (WBC), total bilirubin (TBil), serum creatinine (SCr), blood urea nitrogen (BUN), red blood cell volume distribution width (RDW), proportion of congestive heart failure and SAPS III score [WBC (×109/L): 18.5 (13.9, 24.3) vs. 13.2 (9.3, 17.9), TBil (μmol/L): 29.1 (15.4, 66.7) vs. 16.2 (10.3, 29.1), SCr (μmol/L): 114.9 (88.4, 300.6) vs. 79.6 (53.0, 114.9), BUN (mmol/L): 13.9 (9.3, 17.8) vs. 6.1 (3.7, 9.6), RDW: 0.152 (0.141, 0.165) vs. 0.141 (0.134, 0.150), congestive heart failure: 34.5% vs. 14.8%, SAPS III score: 66 (52, 90) vs. 39 (30, 48), all P < 0.05]. Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.038, 95% confidence interval (95%CI) was 1.005-1.073], WBC (OR = 1.103, 95%CI was 1.038-1.172), TBil (OR = 1.247, 95%CI was 1.066-1.459), BUN (OR = 1.034, 95%CI was 1.014-1.055) and RDW (OR = 1.344, 95%CI was 1.024-1.764) were independent risk predictors of in-hospital death in patients with AP. Logistic regression model was established: Logit(P) = 0.037×age+0.098×WBC+0.221×TBil+0.033×BUN+0.296×RDW-12.133. ROC curve analysis showed that the AUC of the Logistic regression model for predicting the in-hospital death of patients with AP was 0.870 (95%CI was 0.794-0.946), the sensitivity was 86.2%, and the specificity was 78.5%, indicating that the model had good predictive performance, and it was superior to the SAPS III score [AUC was 0.831 (95%CI was 0.754-0.907), the sensitivity was 82.8%, and the specificity was 75.4%]. A nomogram model was established based on the result of multivariate Logistic regression analysis. The calibration map showed that the calibration curve of the nomogram model was very close to the standard curve, with the goodness of fit test: χ2 = 6.986, P = 0.538, indicating that the consistency between the predicted death risk of the nomogram model and the actual occurrence risk was relatively high. The older the AP patient is, the higher the WBC, TBil, BUN, and RDW, and the greater the risk of hospital death. The death prediction Logistic regression model and nomogram model constructed based on the above indicators have good discrimination ability and high accuracy for high-risk patients with hospital death, which can accurately predict the probability of death in AP patients and provide a basis for prognosis judgment and clinical treatment of AP patients.

심귀보의 智 개념에 관한 조선 유학자의 평가와 정재규의 이해

Jeong Jae-gyu (鄭載圭, 1843-1911) was a scholar in the late Joseon Dynasty who contributed to the solidification and formation of the Nosa school (蘆沙學派) through the publication of Nosajib (蘆沙集) and active lecture activities based on the independent acceptance of his teacher, Ki Jeong-jin (奇正鎭). He explained the concept of intelligence based on the definitions of Shen Gui-bao (沈貴珤), an early scholar of the Yuan Dynasty, and even though the volume was not large, he presented a deep analysis and a unique interpretation. Few Joseon Neo-Confucian scholars had explained the concept of intelligence based on Shen Gui-bao, so his attempts are unique. Shen Gui-bao explained, “the Intelligence includes the axis of change in the real world where the heavenly principles are inherent and has a mirror to judge the conflicts of human affairs”. Hu Bing-wen (胡炳文) used the explanation to justify his concept of intelligence. However, since intelligence is a principle, and the “axis of change in the real world” is also a principle, an unreasonable proposition of ‘principle includes principle’ can be established according to Shen Gui-bao’s definitions. Therefore, Kim Chang-hyeop (金昌協) and others criticized Shen Gui-bao, saying that such a proposition cannot be accepted. However, in the 19th century, Lee Hang-ro (李恒老) and Lee Jin-sang (李震相) showed a positive attitude toward Shen Gui-bao’s definitions. Jeong Jae-gyu, who partially accepted the influence of Lee Jin-sang, reaffirmed the fundamental position of intelligence through the phrase “Intelligence includes the axis of change in the real world”, and emphasized that intelligence is the basis for both moral judgment and the principle of perception. Furthermore, in the Neo-Confucian system, intelligence corresponds to a quiet virtue, so Jung Jae-gyu’s emphasis on it might lead to a theory of cultivation centered on solitude (靜), which can be confirmed in questions and answers shared with Ki Jung-jin, his writings, and poems.

Management Practice of Outsourcing Hospital Tests to Independent Clinical Laboratories

With the development of medical technology and the deepening of medical reform, hospital laboratory test continues to expand. Affected by factors such as technology and cost, the business of outsourcing laboratory test to independent clinical laboratories develops rapidly. However, this cooperation mode has not been carried out for a long time and lacks systematic management experience. Through the analysis of the motivation of hospital delivery, this study expounds the classification, judgment basis and requirements for suppliers of third-party clinical laboratory delivery, as well as the operation practice of laboratory test delivery, so as to provide reference for more standardized and effective testing delivery for hospitals.

Twenty-four-color full spectrum flow cytometry panel for minimal residual disease detection in acute myeloid leukemia.

Full spectrum flow cytometry brings a breakthrough for minimal residual disease (MRD) detection in acute myeloid leukemia (AML). We aimed to explore the role of a new panel in MRD detection. We established a 24-color full-spectrum flow cytometry panel. A tube of 24-color antibodies included CD45, CD117, CD34, HLA-DR, CD15, CD64, CD14, CD11c, CD11b, CD13, CD33, CD371, CD7, CD56, CD19, CD4, CD2, CD123, CD200, CD38, CD96, CD71, CD36, and CD9. We discovered that when a tube meets 26 parameters (24 colors), these markers were not only limited to the observation of MRD in AML, but also could be used for fine clustering of bone marrow cells. Mast cells, basophils, myeloid dendritic cells, and plasmacoid dendritic cells were more clearly observed. In addition, immune checkpoint CD96 had the higher expression in CD117+ myeloid naive cells and CD56dimNK cells, while had the lower expression in CD56briNK cells in AML-MRD samples than in normal bone marrow samples. CD200 expression was remarkably enhanced in CD117+ myeloid naive cells, CD4+ T cells, T cells, activated T cells, CD56dimNK cells, and CD56briNK cells in AML-MRD samples. Our results can be used as important basis for auxiliary diagnosis, prognosis judgment, treatment guidance, and immune regulation in AML.

Adaptability, Acceptance and Resistance to Change of Local College Personnel in the Province of Batangas Philippines: Basis for Organizational Change Management Framework

Change is indeed one of the struggles of any employee and company itself when there are changes in administration, leadership, and in-office occurs. Cognitive, affective, and behavioral adaptability in times of change are the three main facets of adaptability that are considered intrinsically related (Ashford and Taylor, 1990; Ployhart and Bliese, 2006; Van Dam, 2013). Marques (2016) concluded that acceptance grows as the changed situation loses its threats. Different dimensions are being distinguished such as open expressively, concealed, active, and passive support. Meanwhile, Rehman et al. (2021) mentioned that it is vital to shape the employees' resistive attitudes for the successful implementation of change, while their readiness greatly influences resistance (Banguntopo, 2018). The researchers further evaluated the personnel's adaptability, determined the personnel's acceptance, and assessed the personnel's resistance to change in local colleges. The researcher used descriptive-correlational research was valuable in providing facts that could form the basis of scientific judgment, which provided essential knowledge. The results revealed that the respondents displayed a high level of adaptability and acceptance, and strongly agreed to be resistant to change. Significant differences were observed in behavioral adaptability and openly expressive and passive support when grouped to position. Gen X group exhibited greater resistance to change in terms of behavioral response. Moreover, positive relationships among variables in different dimensions of change were identified as highly significant. The art of change allows organizations to ensure that new policies, procedures, and controls are adapted, accepted, and free from any form of resistance.

Customized Three-Dimensional Printed Nuss Bar Molds for Repair of Pectus Excavatum

BackgroundThe minimally invasive Nuss procedure has emerged as the standard of care for correction of pectus excavatum. The site of chest wall insertion and bar shape are currently contoured on the basis of the surgeon's judgment. To optimize and individualize Nuss bar configuration, we aimed to create a virtual surgical planning workflow and 3-dimensional (3D) printed Nuss bar molds customized to each patient’s defect. MethodsStandard thin-section chest computed tomography images were imported into the planning software, and segmentation was used to extract anatomically relevant features including ribs, cartilage, sternum, and skin surface. Curves representing the ideal Nuss bar contour are splined on axial imaging. Molds designed from the Nuss bars are created within medical computer-aided design software and then 3D printed with a biocompatible sterilizable photosensitive resin, labeled with the correct orientation. ResultsVirtual surgical planning and 3D reconstruction were used to create patient-specific sterilizable Nuss bar molds in 9 patients presenting with pectus excavatum. The Nuss bar was bent in the operating room to the optimized curve and fitted to the mold. Six male patients with a median age of 26 years underwent customized Nuss bar placement with no intraoperative complications and a procedural time of 126 minutes. The median length of stay was 4 days. No early postoperative revisions were required. ConclusionsAlthough further prospective studies are warranted, this initial pilot demonstrates a replicable technique for virtual surgical planning workflows and patient-specific customizable Nuss bar molds for patients with pectus excavatum.

The dispute over the limits of the European Union’s competences – remarks against the background of CJEU case law

The text concerns the legal basis of the CJEU judgment of 15 July 2021 in case C 791/19 1European Commission v. The Republic of Poland. In this judgment, the Court adjudicated regarding the EU compliance of the national regulations governing the system of the organs of judicial authority. Against this background, it is argued that the system of the organs of judicial authority in any EU Member State does not fall within the competence granted to the EU, but remains solely within the competence of the Member State. The CJEU is empowered to adjudicate only within the scope of competences conferred upon the EU. The CJEU is not competent to take over the competences of the organs of state power of Member States or to thereby force them to adopt particular legal solutions. Any action taken by the CJEU without a proper legal basis has but the appearance of adjudication. In the authors’ opinion, the CJEU judgment raises many doubts as to its compliance with EU law.

Intercultural Encounters in Colonial North Africa: the Unmorphed Imagery of Colonial Cinema, the Narratives of Legitimatization, and the Inchoate Politics of Broken Subjectivities

The representational politics of European colonial cinema was effectively decisive in shaping the values and ideologies of the articulated discourse of colonialism in representing cultural encounters and racial differences. This article attempts to analyse and explore how the colonial cinema of the early twentieth century produced a biased politics of representation and persistent modes of constructing North Africans within the confines of an orientalising colonial imaginary that turns cultural encounters into a display of power and superiority. It addresses the ways cinematic representation of North Africans accentuates the homogenising discourse of domination, the legitimization of conquest and the articulation of intercultural encounters on a stereotypical and judgmental basis. While a part of this cinema kept (re)visiting the same classical tropes of exoticism and racial inferiority of the native cultures, favouring the stereotypical portrayals and racial prejudices of “others” that blatantly rest on the “us and them” dichotomy, the other part tried to introduce a sort of paradigm shift that complicates the unquestionable presence of colons in North Africa and interrogates the parameters of their colonial identity. This article argues that colonial cinema of the 1930S has introduced a range of Western protagonists and colons with complex forms of identifications, questionable moral consciousness, and conflicted colonial subjectivities.

Characteristics of uroflowmetry patterns in men with detrusor underactivity revealed by artificial intelligence.

To elucidate the characteristics of uroflowmetry (UFM) observed in men with detrusor underactivity (DU) using our developed artificial intelligence (AI) diagnostic algorithm to distinguish between DU and bladder outlet obstruction (BOO). Subjective and objective parameters, including four UFM parameters (first peak flow rate, time to first peak, gradient to first peak, and the ratio of first peak flow rate to maximum flow rate [Qmax ]) selected by analyzing the judgment basis of the AI diagnostic system, were compared in 266 treatment-naive men with lower urinary tract symptoms (LUTS). Patients were divided into the DU (70; 26.32%) and non-DU (196; 73.68%) groups, and the UFM parameters for predicting the presence of DU were determined by multivariate analysis and receiver operating characteristic (ROC) curve analysis. Detrusor underactivity was defined as a bladder contractility index <100 and a BOO index <40. Most parameters on the first peak flow of UFM were significantly lower in the DU group. On multivariate analysis, lower first peak flow rate and lower ratio of first peak flow rate to Qmax were significant parameters to predict DU. In the ROC analysis, the ratio of the first peak flow rate to Qmax showed the highest area under the curve (0.848) and yielded sensitivities of 76% and specificities of 83% for DU diagnosis, with cutoff values of 0.8. Parameters on the first peak flow of UFM, especially the ratio of the first peak flow rate to Qmax , can diagnose DU with high accuracy in men with LUTS.

Political economy of socialism with Chinese characteristics: on the issue of intra- and interdisciplinary synthesis

Objective: to show the ontological potential of interdisciplinarity and paradigmatic pluralism in economic research by the example of the Chinese-specific socialism model and its description in Western socio-political discourse.Methods: qualitative methods (discourse analysis, comparative analysis, generalization).Results: the work shows the features of the discourse in modern economic theory regarding the problems of intra- and interdisciplinary synthesis. The economic mainstream, claiming the accuracy of its method of creating scientific knowledge, can and does become the basis of political knowledge and ideological judgments. Describing certain aspects of reality, the mainstream normalizes them, and sometimes elevates them to the rank of a rule. Based on the analysis of the Chinese model of economic reforms, the article shows that in Western socio-political and scientific discourses regarding this model, both at the stage of their beginning and now, there are erroneous ideas and expectations about the purpose, content and results of the reform process. The root cause of this false perception is, assumingly, the disciplinary isolation of economics, as economics is considered to be a universal extrapolitical and extra-cultural constant. To confirm this thesis, the main stages of the transformation of the ideology of building the Chinese economic model, its transition from an anti-market and anticapitalist position to a Chinese-specific socialism model are considered. It is shown that among the trajectories of China’s future development, Western economists and politicians saw only the two main ones: creeping liberalization and limiting the influence of the state in the Chinese economy, accompanied by democratization of the political sphere, on the one hand, and reaching the limits of economic growth possible for countries with authoritarian institutions, on the other. However, the collective action factor ignored by researchers has formed a stable growth economy, not accompanied by political liberalization.Scientific novelty: consists in comprehending the discourses about the Chinese economy as a result of the challenge posed by the Chinese reforms to mainstream political economy.Practical significance: the provisions and conclusions of the research can be further used to study the influence of economic theory on socio-political discourses and political decisions.

Research on multi-class orthodontic image recognition system based on deep learning network model

Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.

Opportunistic CT Assessment of Parathyroid Glands: Utility of Radiologist-Recommended Biochemical Evaluation for Diagnosing Primary Hyperparathyroidism.

BACKGROUND. Existing gaps in primary hyperparathyroidism (PHPT) diagnosis and treatment have prompted calls for systemic change in the approach to this disease. One proposed change is opportunistic assessment for enlarged parathyroid glands on routine CT examinations, to target biochemical testing to individuals most likely to have un-diagnosed PHPT. OBJECTIVE. The purpose of our study was to assess the utility of a radiologist recommendation for biochemical testing in patients with a suspected enlarged parathyroid gland on routine CT for identifying previously undiagnosed PHPT. METHODS. This retrospective study included patients without known or suspected PHPT who underwent routine CT (i.e., performed for reasons other than known or suspected parathyroid disease) between August 2019 and September 2021 in which the clinical CT report included a radiologist recommendation for biochemical testing to evaluate for possible PHPT because of a suspected enlarged parathyroid gland. Neuroradiologists at the study institution included this recommendation on the basis of individual judgment without formal criteria. The EHR was reviewed to identify patients who underwent subsequent laboratory evaluation for PHPT. An endocrine surgeon used available laboratory results and clinical data to classify patients as having PHPT, secondary hyper-parathyroidism, or no parathyroid disorder independent of the CT findings. RESULTS. The sample comprised 39 patients (median age, 68 years; 20 women, 19 men) who received the radiologist recommendation for biochemical evaluation. Of these patients, 13 (33.3%) received the recommended biochemical evaluation. Of the 13 tested patients, three (23.1%) were classified as having PHPT, four (30.8%) as having secondary hyperparathyroidism, and six (46.2%) as having no parathyroid disorder. Thus, the number of patients needing to receive a radiologist recommendation for biochemical testing per correct PHPT diagnosis was 13.0, and the number of patients needing to undergo laboratory testing per correct PHPT diagnosis was 4.3. One of the three patients classified as having PHPT underwent surgical resection of the lesion identified by CT, which was shown on histopathologic evaluation to represent hypercellular parathyroid tissue. CONCLUSION. Radiologist recommendations for biochemical testing in patients with suspected enlarged parathyroid glands on routine CT helped to identify individuals with undiagnosed PHPT. CLINICAL IMPACT. Opportunistic assessment for enlarged parathyroid glands on routine CT may facilitate PHPT diagnosis.

An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques.

The prevalence of violence in acute psychiatric wards is a critical concern. According to a meta-analysis investigating violence in psychiatric inpatient units, researchers estimated that approximately 17% of inpatients commit one or more acts of violence during their stay. Inpatient violence negatively affects health-care providers and patients and may contribute to high staff turnover. Therefore, predicting which psychiatric inpatients will commit violence is of considerable clinical significance. The present study aimed to estimate the violence rate for psychiatric inpatients and establish a predictive model for violence in psychiatric inpatients. We collected the structured and unstructured data from Chinese nursing electronic medical records (EMRs) for the violence prediction. The data was obtained from the psychiatry department of a regional hospital in southern Taiwan, covering the period between January 2008 and December 2018. Several text mining and machine learning techniques were employed to analyze the data. The results demonstrated that the rate of violence in psychiatric inpatients is 19.7%. The patients with violence in psychiatric wards were generally younger, had a more violent history, and were more likely to be unmarried. Furthermore, our study supported the feasibility of predicting aggressive incidents in psychiatric wards by using nursing EMRs and the proposed method can be incorporated into routine clinical practice to enable early prediction of inpatient violence. Our findings may provide clinicians with a new basis for judgment of the risk of violence in psychiatric wards.

The History of European Stereotypes and Allegories of Representation of North Africans: Continuity Narratives and Shifting Paradigms

The representational politics of European cinema and literature were effectively determinant in shaping and reflecting the values and the ideologies of the dominant parties in dealing with encounters and representing cultural difference. Conditioned by the synchronous historical and political contexts, the work of stereotyping has persisted and Continued in deploying almost the same tropes and metaphors of representation that have been in operation since the medieval ages, constructing a logic of binarization of encounters on asymmetrical grounds. This article explores the genealogy of representation of North Africans in European cinema and literature, focusing on the metamorphosis of its dominant tropes and stereotypes over centuries. It addresses the ways fictional representation of North Africans, especially Moroccans, reinforce the orientalizing discourse of power, domination, and hegemonic construction of cultural difference on stereotypical and judgmental basis. It suggests that the visual and literary representation of North Africans has constantly kept appearing, disappearing, shifting and redefining in response to the prevailing political and historical contexts that shaped encounters between Europeans and North Africans. To track the mutation of the stereotype, its intertextuality and its hierarchical structures of power, Edward Said’s colonial discourse analysis and Homi Bhabha’s conceptualization of the stereotype will be used as theoretical frameworks in this article.

The Application of Microtremor Exploration Technology in Thick Loess Area of Lanzhou

For the large thickness loess area in Lanzhou, engineering application research on excavated off-set loess using microtremor exploration technology. In this paper, by detecting the surface wave velocity structure of a single point, comparing the dispersion curve data of a single point with the borehole data, and comparing the surface wave velocity profile data with the engineering geological profile, the judgment basis of soil-rock interface and strong-medium interface is put forward. The stratigraphic structure of the loess area with large thickness is accurately divided; By analysing the relationship between the surface wave value of the borehole and the physical and mechanical indexes of the soil, the relationship curves of surface wave-porosity ratio, surface wave-density and surface wave-collapsibility coefficient are studied, and the fitting curves of each curve are obtained and the correlation is summarized. Through the research of this paper, it has certain guiding significance for the application of microtremor exploration in large thickness loess area.

The Image of the Native Ruler in the Writings of the Participants of the Circumnavigations of the 16th century

The article deals with the analysis of the formation of the image of the native ruler in the compositions of the participants of the first circumnavigations of the 16th century.&#x0D; The participants of the expeditions often became the first Europeans to reach remote corners of the world and get acquainted with previously unknown nations. Basic judgments about those peoples were often based on descriptions of their rulers. The study attempts to identify common characteristic features in the descriptions of native leaders left by Spanish and English travelers in the 16th century. The comparison of the evidence allows us to trace the evolution of the image of the native leader, and in some cases, to identify the falsifications that resulted from the individual tendentious writings of the era. It was possible to identify the similarity of the images of Eastern rulers. The authors of the works note their wealth, a special ceremonial surrounding, and almost absolute power over their subjects. At the same time, a characteristic feature of the Eastern ruler is his cunning, which is always implied when constructing the image. But despite the negative features, both Spanish and English discoverers always sought to conclude an alliance with the ruler, appeasing him with gifts and promises of military assistance to gain a foothold in the open lands relying on his power.

Synchronous spatio-temporal signature verification via Fusion Triplet Supervised Network

Handwritten signature has been regarded as one of the most accepted and practical means of person verification since ancient times. Unlike existing methods to trace the signer only considering a single spatial or temporal information, in this paper, we propose to combine two forms of signature data (stroke images and sensor signals) to realize person verification using the novel Fusion Triplet Supervised Network (fuseTSN). First, the Electronic Handwritten Signature Acquisition System 1.0 (EHS-AS 1.0) connected to the Wacom tablet is developed to construct a synchronous static–dynamic Chinese signature dataset (SynCS) and to transform existing dynamic signature datasets into static–dynamic datasets. Then, the hybrid feature extractor (ResCNN-BiLSTM with attention) as the backbone is embedded into the fuseTSN model, mapping the images and time-series signal into a common hyperspace. Furthermore, the similarity of the input [Anchor, Positive, Test] is measured to produce the final output. Finally, the proposed fuseTSN is tested on three public datasets and also evaluated on our SynCS dataset comprised of 24000 unique triplet label samples. The results show that the accuracy of the fuseTSN model is at least 5.01% higher than that of a unimodal system with only stroke image or sensor data on the SynCS dataset and outperforms the current state-of-the-art multimodal methods for writer-independence (WI) verification on public datasets. In addition, we present the fuseTSN’s reliable judgment basis for spatial strokes in the heat-map and further find that the combination of time attributes (OA and OE) can significantly improve the model performance.

The construction of modern aesthetic education innovative talent cultivation mode in universities based on big data technology

Abstract To strengthen the comprehensive literacy of college students and have a correct aesthetic concept, the cultivation of innovative talents in modern college aesthetic education under big data is proposed. The mixed-filtered college aesthetic training data were used to calculate the prediction function, loss function, and regression parameters using a logistic regression model. The training sample probabilities are derived from the maximum likelihood function to predict the unmade scores in the teacher’s scoring matrix, which is trained to fit the original scoring matrix. The behavior of each student is divided into a corresponding label, and the aesthetic education courses with historical preferences of students in the same category are recommended to the target students in that category. By iteratively updating the values of each cluster center one by one, the data with high similarity are clustered into one class, and the distances of all the cluster centers are recalculated to alleviate the data sparsity problem and scalability problem of logistic regression. The information of the training set is used as input data, and the numerical type indicators are used as the basis for judgment to obtain the satisfaction situation of students with the recommended results, and the indicators for visually evaluating the gap between the predicted and real ratings of the system and the accurate and complete data on the cultivation of innovative talents in modern university aesthetic education are counted. The analysis results show that under the big data technology, the physical education courses in colleges and universities carry out the education of the concept of beauty, the innovative form is better, and the percentage of the concept of strength and beauty reaches 69%, strengthening the ability of college students to feel beauty.