Recurring patterns in stationary intervals of abdominal uterine electromyograms during gestation

Abdominal uterine electromyograms (uEMG) studies have focused on uterine contractions to describe the evolution of uterine activity and preterm birth (PTB) prediction. Stationary, non-contracting uEMG has not been studied. The aim of the study was to investigate the recurring patterns in stationary uEMG, their relationship with gestation age and PTB, and PTB predictivity. A public database of 300 (38 PTB) three-channel (S1-S3) uEMG recordings of 30 min, collected between 22 and 35 weeks' gestation, was used. Motion and labour contraction-free intervals in uEMG were identified as 5-min weak-sense stationarity intervals in 268 (34 PTB) recordings. Sample entropy (SampEn), percentage recurrence (PR), percentage determinism (PD), entropy (ER), and maximum length (L MAX) of recurrence were calculated and analysed according to the time to delivery and PTB. Random time series were generated by random shuffle (RS) of actual data. Recurrence was present in actual data (p<0.001) but not RS. In S3, PR (p<0.005), PD (p<0.01), ER (p<0.005), and L MAX (p<0.05) were higher, and SampEn lower (p<0.005) in PTB. Recurrence indices increased (all p<0.001) and SampEn decreased (p<0.01) with decreasing time to delivery, suggesting increasingly regular and recurring patterns with gestation progression. All indices predicted PTB with AUC≥0.62 (p<0.05). Recurring patterns in stationary non-contracting uEMG were associated with time to delivery but were relatively poor predictors of PTB

Exploring the Path of Ideological and Political Construction in Courses under the “One Body, Two Wings” Model - Taking the Course of Engineering Law Principles and Practice as an Example

The comprehensive advancement of ideological and political construction in university courses is a significant strategic move to thoroughly implement the important educational directives of General Secretary Xi Jinping and to fulfill the fundamental task of moral education. Universities should deepen educational and teaching reforms, thoroughly explore the ideological and political resources of courses, fully leverage the educational role of each course, and comprehensively improve the quality of talent training. The course on Engineering Law Principles and Practice has explored and practiced the path of ideological and political construction in courses. With the “One Body, Two Wings” model as the construction approach, it explores the path of ideological and political construction in this course. Focusing on student development, the course unfolds teaching through innovative application in teaching and value shaping for students as two wings. In terms of value shaping, it emphasizes not only exploring the ideological and political elements of the course in line with the actual situation of students but also requires teachers to lead by example and set a model for moral education. Additionally, establishing a scientific and effective evaluation system for the teaching effects of course ideological and political education ensures the effectiveness of the entire course’s ideological and political education. The teaching of the entire course enables students to not only learn knowledge and skills but also cultivate integrity, achieving the educational goals of the course

Status and Development of Teaching Reform in Management Operations Research: A Case Study of Engineering Management

Management Operations Research is a professional core course integrating professionalism, practicability and comprehensiveness for engineering management majors, and it is also an important professional course for students of applied majors to acquire professional core competence. Taking the engineering management major as an example, this paper describes the current status of teaching reform construction, which is carried out from the aspects of teaching orientation and objectives, characteristics of teaching methods and teaching design, integration of course Civics and assessment mechanism. Finally, by comparing the final grades of the two classes of students before and after the reform, we analyze the effect of the reform, and analyze the current problems, and look forward to the continuous teaching reform of the course

Research on the Path of Civic-Political Construction of Courses under the “One Body, Two Wings” Model—The Principles and Practice of Engineering Law Course as an Example

Comprehensively promoting the construction of college curriculum ideology and politics is a major strategic initiative to deeply implement General Secretary Xi Jinping’s important thesis on education and implement the fundamental task of establishing moral education, colleges and universities should deepen the reform of education and teaching, deeply excavate the ideological and political resources of the curriculum, and give full play to the nurturing role of each course, so as to comprehensively improve the quality of talent cultivation. The Principles and Practice of Engineering Law course has explored and practiced the path of the construction of course ideology and politics, and explored the path of the construction of course ideology and politics of the course with the construction idea of “one body and two wings” model, taking the development of students as the basis, and the innovative application in teaching and value shaping for students as the two wings of the teaching. Value shaping not only focuses on the actual situation of the students to explore the elements of the course Civics, the teacher should also set an example, set an example, moral and humanistic, in addition to the establishment of a scientific and effective evaluation system of the teaching effect of the course Civics to ensure that the whole course Civics education effect. The entire course is taught in such a way that the students not only learn knowledge and skills, but also are all in one piece and realize the nurturing goals of the course

Electromagnetic counterparts of high-frequency gravitational waves having additional polarization states: distinguishing and probing tensor-mode, vector-mode and scalar-mode gravitons

GWs from extra dimensions, very early universe, and some high-energy astrophysical process, might have at most six polarizations: plus- and cross-type (tensor-mode gravitons), x-, y-type (vector-mode), and b-, l-type (scalar-mode). Peak or partial peak regions of some of such GWs are just distributed in GHz or higher frequency band, which would be optimal band for electromagnetic(EM) response. In this paper we investigate EM response to such high-frequency GWs(HFGWs) having additional polarizations. For the first time we address:(1)concrete forms of analytic solutions for perturbed EM fields caused by HFGWs having all six possible polarizations in background stable EM fields; (2)perturbed EM signals of HFGWs with additional polarizations in three-dimensional-synchro-resonance-system(3DSR system) and in galactic-extragalactic background EM fields. These perturbative EM fields are actually EM counterparts of HFGWs, and such results provide a novel way to simultaneously distinguish and display all possible six polarizations. It is also shown: (i)In EM response, pure cross-, x-type and pure y-type polarizations can independently generate perturbative photon fluxes(PPFs, signals), while plus-, b- and l-type polarizations produce PPFs in different combination states. (ii) All such six polarizations have separability and detectability. (iii)In EM response to HFGWs from extra-dimensions, distinguishing and displaying different polarizations would be quite possible due to their very high frequencies, large energy densities and special properties of spectrum. (iv)Detection band(10^8 to 10^12 Hz or higher) of PPFs by 3DSR and observation range(7*10^7 to 3*10^9 Hz) of PPFs by FAST (Five-hundred-meter-Aperture-Spherical Telescope, China), have a certain overlapping property, so their coincidence experiments will have high complementarity.Comment: 27 pages, 16 figure

Spectral Graph Convolutions for Population-based Disease Prediction

Exploiting the wealth of imaging and non-imaging information for disease prediction tasks requires models capable of representing, at the same time, individual features as well as data associations between subjects from potentially large populations. Graphs provide a natural framework for such tasks, yet previous graph-based approaches focus on pairwise similarities without modelling the subjects' individual characteristics and features. On the other hand, relying solely on subject-specific imaging feature vectors fails to model the interaction and similarity between subjects, which can reduce performance. In this paper, we introduce the novel concept of Graph Convolutional Networks (GCN) for brain analysis in populations, combining imaging and non-imaging data. We represent populations as a sparse graph where its vertices are associated with image-based feature vectors and the edges encode phenotypic information. This structure was used to train a GCN model on partially labelled graphs, aiming to infer the classes of unlabelled nodes from the node features and pairwise associations between subjects. We demonstrate the potential of the method on the challenging ADNI and ABIDE databases, as a proof of concept of the benefit from integrating contextual information in classification tasks. This has a clear impact on the quality of the predictions, leading to 69.5% accuracy for ABIDE (outperforming the current state of the art of 66.8%) and 77% for ADNI for prediction of MCI conversion, significantly outperforming standard linear classifiers where only individual features are considered.Comment: International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 201