An Intelligent Rockburst Prediction Model Based on Scorecard Methodology

Rockburst is a serious hazard in underground engineering, and accurate prediction of rockburst risk is challenging. To construct an intelligent prediction model of rockburst risk with interpretability and high accuracy, three binary scorecards predicting different risk levels of rockburst were constructed using ChiMerge, evidence weight theory, and the logistic regression algorithm. An intelligent rockburst prediction model based on scorecard methodology (IRPSC) was obtained by integrating the three scorecards. The effects of hazard sample category weights on the missed alarm rate, false alarm rate, and accuracy of the IRPSC were analyzed. Results show that the accuracy, false alarm rate, and missed alarm rate of the IRPSC for rockburst prediction in riverside hydropower stations are 75%, 12.5%, and 12.5%, respectively. Setting higher hazard sample category weights can reduce the missed alarm rate of IRPSC, but it will lead to a higher false alarm rate. The IRPSC can adaptively adjust the threshold and weight value of the indicator and convert the abstract machine learning model into a tabular form, which overcomes the commonly black box problems of machine learning model, as well as is of great significance to the application of machine learning in rockburst risk prediction.

Dampak Stock Split terhadap Abnormal Return dengan Pendekatan Event Study pada Emiten yang Terdaftar di Bursa Efek Indonesia

Investing in stock instruments in the capital market is interesting for many investors, both local and foreign. However, when the price of stocks is considered too expensive, that will reduce the purchasing power of investors towards these shares and the liquidity of the shares will decrease as well that will impact the decreasing returns of investors. Overcoming this condition, companies often take corporate action in the form of a stock split. This study analyzes the effect of stock split on abnormal returns of companies listed on the Indonesia Stock Exchange in 2015-2019. Using a purposive sampling method (nonprobability sampling) we obtained 34 companies as a research sample. We use the event study approach for data processing in finding abnormal returns and t-test as well. This study classifies samples into two categories, complex sample category, and sectoral industries. The result shows that for the complex category, there are three out of eleven days of events that have an impact on abnormal returns marked by the t-test results greater than t-table. Whereas in each sectoral industries there are only five affected sectors, three unaffected sectors and one sector cannot be tested due to insufficient data. This result is also consistent with theories related to the stock split, signaling theory, and trading range theory.

In Silico Analysis of Sperm From Ejaculates with Different Semen Characteristics

Background: Male infertility is associated with altered characteristics of the sperm within the ejaculate. It is possible to find molecular explanations for the observed phenotypes and their consequences. This study aimed to analyze, using a specialized software, a gene set of transcriptomic data from different types of ejaculates. Methods: Data from ejaculate samples categorized as normal, oligospermia, and teratozoospermia were obtained from Gene Expression Omnibus (GEO). After normalization, the data average for each sample category was calculated and analyzed independently using Ingenuity Pathway Analysis (IPA). Results: Five important canonical pathways are involved in normal and altered semen samples (Oligospermia and teratozoospermia) except sirtuin signaling and mitochondrial dysfunction pathways. The five most important biological processes are identified in all semen phenotypes, but the only difference is the genes connected with initiation of RNA transcription in oligospermic and asthenospermic samples. Conclusion: Surprisingly, different types of ejaculates share many pathways and biological processes; sperm proteomics as a new global approach gives clues for the development of strategies to explain the reason for observed phenotypes of ejaculated spermatozoa, their possible effect on fertility, and for implementing research strategies in the context of infertility diagnosis and treatment.

Tuning the Structure of Nylon 6,6 Electrospun Bundles to Mimic the Mechanical Performance of Tendon Fascicles

Tendon and ligament injuries are triggered by mechanical loading, but the specific mechanisms are not yet clearly identified. It is well established however, that the inflection and transition points in tendon stress-strain curves represent thresholds that may signal the onset of irreversible fibrillar sliding. This phenomenon often results in a progressive macroscopic failure of these tissues. With the aim to simulate and replace tendons, electrospinning has been demonstrated to be a suitable technology to produce nanofibers similar to the collagen fibrils in a mat form. These nanofibrous mats can be easily assembled in higher hierarchical levels to reproduce the whole tissue structure. Despite the fact that several groups have developed electrospun tendon-inspired structures, an investigation of the inflection and transition point mechanics is missing. Comparing their behavior with that of the natural counterpart is important to adequately replicate their behavior at physiological strain levels. To fill this gap, in this work fascicle-inspired electrospun nylon 6,6 bundles were produced with different collector peripheral speeds (i.e., 19.7 m s–1; 13.7 m s–1; 7.9 m s–1), obtaining different patterns of nanofibers alignment. The scanning electron microcopy revealed a fibril-inspired structure of the nanofibers with an orientation at the higher speed similar to those in tendons and ligaments (T/L). A tensile mechanical characterization was carried out showing an elastic-brittle biomimetic behavior for the higher speed bundles with a progressively more ductile behavior at slower speeds. Moreover, for each sample category the transition and the inflection points were defined to study how these points can shift with the nanofiber arrangement and to compare their values with those of tendons. The results of this study will be of extreme interest for the material scientists working in the field, to model and improve the design of their electrospun structures and scaffolds and enable building a new generation of artificial tendons and ligaments.

The Look of a Transprofessional Worker Through the Prism of the Educational Environment of the University

The problem of forming a transprofessional personality is becoming more and more relevant in the science and practice of the development of modern society. The article considers the characteristics of a transprofessional employee as the main subject of the development of the organization and the economy as a whole through the system of his professional and personal qualities and competencies, gives a generalized idea of the place of the studied characteristics in the labor potential of a transprofessional. The research is devoted to the study of ideas about the transprofessional worker in the educational environment. In the course of the study using the author's questionnaire, assessment scales and calculation of coefficients, data were obtained regarding the opinion of students and teachers about the degree of expression of the studied characteristics in transprofessionals, as well as – as a problem field – about the possibilities of forming and developing these characteristics in the process of studying at the University. At the final stage, a comparative analysis of the results by sample category is performed. The product of the study is a score table, as well as generalized graphs that reflect the opinion of respondents on the issues under study. The scientific novelty of the research consists in an attempt to identify the main patterns of understanding the phenomenon of transprofessionalism in order to find ways to form it most effectively. The practical significance of the research results can form the basis for the transformation of modern education systems and professional self-determination of young workers.

Are there differences between the loading of an anaerobic capacity test and an agility test in basketball players?

The objective of this article was to know players’ needs in the selected tests, to search for differences between categories and to know if there is any relationship between different tests. The sample consists of 2 teams (u-14, u-16, n=24), which were equipped with a WimuR inertial device. The selected tests were 2 agility tests and a lactic anaerobic capacity test. Neuromuscular and kinematic variables were selected. Descriptive analysis, inferential analysis and analysis of correlation among variables were carried out. Once players’ needs are described, there are no significant differences among kinematic variables depending on the sample category. Nonetheless, there is relationship between kinematic and neuromuscular variables of the different tests. It is frequently claimed that capacity tests are those that cause more fatigue in athletes. For this reason, an analysis was carried out comparing a lactic anaerobic capacity test with an agility test in its two versions. The obtained results can facilitate the work and the evaluation time of a physical condition test since results of athletes in a capacity test could be known by performing tests of lesser requirement. In addition, this would avoid players from experiencing a situation of maximum effort and possible injury, also saving training time.

School-based Physical Activity: Planning with student motivation in mind

Central to providing rich and diverse PA opportunities in schools are our classroom teachers. Regardless of generalist or specialist training in health and physical education, all of our Ontario teachers play a vital role in providing opportunities for children and youth to learn through PA. This paper (a) positions student participation in school-based PA as an essential public health outcome, (b) explores barriers affecting teachers’ efforts to provide school-based PA, and (c) offers teachers one potential macro planning and instructional solution to address a single barrier-the challenge associated with planning for student motivation in school-based PA settings. Keller’s (1987) influential ARCS model of motivational design provides the foundation for the proposed solution. An adapted version, the ARCS School-Based PA model, is presented. The adapted model offers considerations and sample category success strategies that could be embedded in teachers’ current school-based PA planning and instructional practices to support the development of school-based PA programming that is firmly grounded in learner motivation and needs.

Research on the Impact of Moisture Content on the CBR Value of Shanxi Loess

Several typical soil samples in Shanxi Province were selected. Laboratory experiments were adopted to study the CBR of the three kinds of soil samples with different compaction and different water content. Orthogonal experiment was used to analyze the impact of factors including water content, compaction and soil sample category on the CBR value. The result shows that the moisture content has great impact on CBR value and the CBR value is maximize under optimum moisture content and maximum degree of compaction condition, while the not flooded CBR is decrease with the increasing of water content.