A study on psychological stress assessment of higher educational institution’s students based on computer data mining technology

Safety begins in the human mind, and the individual’s need for psychological safety is the most fundamental need. This fundamental need takes psychological safety as the starting point for the gradual formation of a connection with the outside world. Graduates are the backbone of China’s economic development, and their healthy development is of great significance to the sustainable development of China’s economy and society. Excessive psychological pressure may bring pain to students in physical and psychological aspects, and even lead to suicide. If students with abnormal psychological pressure can be found in time, the school can provide help and intervention in time to relieve psychological pressure. This paper uses pressure sensor technology for data collection and data mining techniques for data analysis to assess and predict the psychological stress level of Higher Educational Institutions (HEIs) students. The results show that this method can accurately and objectively evaluate the psychological stress of the students, and the evaluation results of students’ psychological stress are stable, which can provide students with psychological stress assessment services. It implies that HEI’s policymakers should consider these techniques to assess the psychological stress of the students proactively

Analysis on Factors Affecting Performance of Indexing Investment

This article analyzes the current status of indexing investment performance in China and the characteristics of fund managers and fund management companies. It also theoretically analyzes the influence of these factors on indexing investment performance in terms of fund governance structure, characteristics of fund managers and fund companies, stock selection ability and timing ability. Next, it uses multiple regression analysis from three dimensions mentioned above to verify the influencing factors on investment performance. The results show that in terms of passive investment, fund tracking error is significantly negatively correlated with institutional holdings and fund managers’ stock selection ability, and significantly positively correlated with fund managers’ timing ability. Female fund managers’ tracking errors are smaller. Institutional investors play a positive role in promoting the performance of active investment. The fund manager’s stock selection ability can effectively reduce the fund’s sensitivity to target index fluctuations, and the fund manager’s timing ability can significantly improve the performance of fund allocation. Funds allocated by female fund managers will be less sensitive to target index fluctuations. Keywords: indexing investment, performance, fund management, fund managers DOI: 10.7176/RJFA/12-22-01 Publication date: November 30th 202

Behavior Characteristics of Indexing Investment Entities

Based on the characteristics of investor behavior, this article analyzes the impact of institutional investors and investor sentiment on the liquidity, profitability and stability of the capital market, and analyzes the impact of investor overreaction on the market. Through multiple regression analysis, it is verified that the holding ratio of institutional investors has a significantly negative relationship with the turnover rate of funds, and it has a positive relationship with the annual rate of return of the fund and the annual volatility of the fund. Investor sentiment shows a positive correlation with the turnover rate of funds, the yield of the fund and the volatility of the fund. Through quantile regression, it is found that when the volatility of an index is at a high level, it is more susceptible to the negative impact of the previous trading volume. Keywords: behaviour characteristics, indexing investment, investor sentiment, capital market DOI: 10.7176/EJBM/13-22-01 Publication date: November 30th 202

Detection of pairwise kinetic Sunyaev-Zel'dovich effect with DESI galaxy groups and Planck in Fourier space

We report a $\sim5.2\sigma$ detection of the kinetic Sunyaev-Zel'dovich (kSZ) effect in Fourier space, by combining the DESI galaxy groups and the Planck data. We use the density-weighted pairwise kSZ power spectrum as the summary statistic, and the detailed procedure of its measurement is presented in this paper. Meanwhile, we analyze the redshift space group density power spectrum to constrain its bias parameters and photo-z uncertainties. These best-fitted parameters are substituted to a nonlinear kSZ model, and we fit the measured kSZ power spectrum with this model to constrain the group optical depth $\bar{\tau}$. Selected by a varying lower mass threshold $M_{\rm th}$, the galaxy group catalogs with different median masses ($\tilde{M}$) are constructed from the DR9 data of the DESI Legacy Imaging Surveys. $\tilde{M}$ spans a wide range of $\sim10^{13}-10^{14}M_\odot/h$ and the heaviest $\tilde{M}\sim10^{14} M_\odot/h$ is larger than those of most other kSZ detections. When the aperture photometric filter radius $\theta_{\rm AP}$ is set to be $4.2$ arcmin, the $\tilde{M}=1.75\times10^{13}M_\odot/h$ group sample at the median redshift $\tilde{z}=0.64$ has the highest kSZ detection ${\rm S/N}=5.2$. By fitting $\bar{\tau}$s from various samples against their $\tilde{M}$s, we obtain a linear $\log\bar{\tau}-\log \tilde{M}$ relation: $\log\bar{\tau} = \gamma(\log \tilde{M}-14)+\log\beta$, in which $\gamma=0.55\pm0.1$. We also vary the aperture photometric filter radius and measure the $\bar{\tau}$ profiles of group samples, whose constraints on the baryon distribution within and around dark matter halos will be discussed in a companion paper.Comment: 25 pages, 14 figures, ApJS accepte

Facile fabrication of lightweight porous FDM-printed polyethylene/graphene nanocomposites with enhanced interfacial strength for electromagnetic interference shielding

In order to shield the massive electromagnetic perturbations and meet the more and more stringent requirement for advanced electronic equipment, development of diverse, lightweight and high-performance electromagnetic interference (EMI) shielding materials is urgent but still challenging. Herein, the facile and green method which combines fused deposition modeling (FDM) 3D printing, ball milling and microwave (MW) irradiation technology was proposed to fabricate exfoliated graphene nanoplatelets (GNPs) incorporated liner low density polyethylene (LLDPE) nanocomposite lightweight parts with porous and complex geometry structure. FDM 3D printing possesses high flexibility for structure design, which can significantly broaden the application of materials in various fields. Benefiting from design of a unique porous lamellar structure, the printed LLDPE/GNPs nanocomposite parts can achieve a prominent EMI shielding effectiveness (SE) of ~32.4 dB (with thickness-normalized specific EMI SE (SSE/t) of 318 dB cm2/g) in the range of 8.2–12.4 GHz. This remarkable characteristic is due to internal multiple reflections and absorption of electromagnetic (EM) waves. In addition, the specific FDM 3D-printed porous parts prepared by our strategy exhibit a relatively higher EMI SE at a lower density than those lightweight EMI shields in literatures. The use of MW irradiation technology improves mechanical properties, especially for the interfacial bonding strength between filaments. More importantly, this strategy is highly favorable for the fabrication of lightweight porous EMI shields with tailorable and optimized shape/structure, which could be expected to be applied in aerospace fields, portable electronic devices, smart devices and so on

Polygamy and Purifying Selection in Birds

Good genes theories of sexual selection predict that polygamy will be associated with more efficient removal of deleterious alleles (purifying selection), due to the alignment of sexual selection with natural selection. On the other hand, runaway selection theories expect no such alignment of natural and sexual selection, and may instead predict less efficient purifying selection in polygamous species due to higher reproductive variance. In an analysis of polymorphism data extracted from 150-bird genome assemblies, we show that polygamous species carry significantly fewer nonsynonymous polymorphisms, relative to synonymous polymorphisms, than monogamous bird species (p = .0005). We also show that this effect is independent of effective population size, consistent with the alignment of natural selection with sexual selection and “good genes” theories of sexual selection. Further analyses found no impact of polygamy on genetic diversity, while polygamy in females (polyandry) had a marginally significant impact (p = .045). We also recapitulate previous findings that smaller body mass and greater geographic range size are associated with more efficient purifying selection, more intense GC-biased gene conversion, and greater genetic diversity.<br/

Polygamy and Purifying Selection in Birds

Good genes theories of sexual selection predict that polygamy will be associated with more efficient removal of deleterious alleles (purifying selection), due to the alignment of sexual selection with natural selection. On the other hand, runaway selection theories expect no such alignment of natural and sexual selection, and may instead predict less efficient purifying selection in polygamous species due to higher reproductive variance. In an analysis of polymorphism data extracted from 150-bird genome assemblies, we show that polygamous species carry significantly fewer nonsynonymous polymorphisms, relative to synonymous polymorphisms, than monogamous bird species (p = .0005). We also show that this effect is independent of effective population size, consistent with the alignment of natural selection with sexual selection and “good genes” theories of sexual selection. Further analyses found no impact of polygamy on genetic diversity, while polygamy in females (polyandry) had a marginally significant impact (p = .045). We also recapitulate previous findings that smaller body mass and greater geographic range size are associated with more efficient purifying selection, more intense GC-biased gene conversion, and greater genetic diversity

Drosophila Exo70 is Essential for Neurite Extension and Survival under Thermal Stress

The octomeric exocyst complex governs the final step of exocytosis in both plants and animals. Its roles, however, extend beyond exocytosis and include organelle biogenesis, ciliogenesis, cell migration, and cell growth. Exo70 is a conserved component of the exocyst whose function in Drosophila is unclear. In this study, we characterized two mutant alleles of Drosophila exo70. exo70 mutants exhibit reduced synaptic growth, locomotor activity, glutamate receptor density, and mEPSP amplitude. We found that presynaptic Exo70 is necessary for normal synaptic growth at the neuromuscular junction (NMJ). At the neuromuscular junction, exo70 genetically interacts with the small GTPase ralA to regulate synaptic growth. Loss of Exo70 leads to the blockage of JNK signaling-, activity-, and temperature-induced synaptic outgrowths. We showed that this phenotype is associated with an impairment of integral membrane protein transport to the cell surface at synaptic terminals. In octopaminergic motor neurons, Exo70 is detected in synaptic varicosities, as well as the regions of membrane extensions in response to activity stimulation. Strikingly, mild thermal stress causes severe neurite outgrowth defects and pharate adult lethality in exo70 mutants. exo70 mutants also display defective locomotor activity in response to starvation stress. These results demonstrated that Exo70 is an important regulator of induced synaptic growth and is crucial for an organism’s adaptation to environmental changes