Miracle-dz/UniFAR-FTUs huggingface dataset:
Entrepreneurial role models and college students’ entrepreneurial calling: A moderated mediation model

Introduction College entrepreneurship education should not only cultivate a group of college students who have strong willingness to start a business immediately after graduation, but also pay attention to future entrepreneurship success of college students. Correspondingly, in addition to attaching importance to improving college students’ entrepreneurial intention, college entrepreneurship education should pay attention to improving college students’ entrepreneurial calling. At present, there is insufficient research on the association between entrepreneurial role models and entrepreneurial calling. We aim to study the mechanism and boundary condition of the association between entrepreneurial role models and entrepreneurial calling. Methods A longitudinal survey was distributed among 519 students from 16 colleges and universities in China. In the survey, the college students answered questions on entrepreneurial role models, entrepreneurial calling, entrepreneurial perceived behavioral control and entrepreneurial hands-on practice. Hierarchical regression was conducted, testing the association between entrepreneurial role models and entrepreneurial calling of college students, mediated by entrepreneurial perceived behavioral control and moderated by entrepreneurial hands-on practice. Results Therefore, based on the social learning theory, the theory of planned behavior and the entrepreneurial event model, and by hierarchical regression of the data, this study confirmed that entrepreneurial role models were positively associated with college students’ entrepreneurial calling by partially mediating with entrepreneurial perceived behavioral control. Moreover, Entrepreneurial hands-on practice positively moderated not only the relationship between entrepreneurial perceived behavioral control and entrepreneurial calling, but also the mediating association of entrepreneurial perceived behavioral control between entrepreneurial role models and entrepreneurial calling. Discussion This study not only enriches the theoretical research on entrepreneurial calling and entrepreneurial role models, but also provides valuable educational enlightenment for colleges and universities to improve the students’ entrepreneurial calling.
The Potential Harm of Email Delivery: Investigating the HTTPS Configurations of Webmail Services

Webmail, protected by the HTTPS protocol, only works correctly if both the server and client implement HTTPS-related features without vulnerability. Nevertheless, the deployment situation of these features in the webmail world is still unclear. To this end, we perform the first end-to-end and large-scale measurement of webmail service. For the server side, we first build an email address set with a size of 2.2 billion. Then we construct two webmail domain datasets: one contains 21 k domains filtered from the email address set; the other only includes 34 domains but supports more than 75% of the 2.2 billion email addresses. After performing a comprehensive measurement on these two webmail domain datasets, we find that some features are poorly deployed. Furthermore, we also rank servers by analyzing the properties of HTTPS-related features. For the client side, we investigate implement of HTTPS-related features in 50 different combinations of web browsers and operating systems (OSes). We find that even the latest browsers have poor support for some features. For example, Firefox in all OSes does not support CT. Our findings highlight that the full deployment of the security features for the HTTPS ecosystem is still a challenge, even in the webmail service.
Zemike polynomial description of ophthalmic surfaces

Surfaces of interest in vision research are often nearly spherical. A useful descriptor for such surfaces is one which allows comparison to a sphere or to other simple surfaces. Zernike polynomials1 provide such a descriptor. We show here ways in which this complete set of functions may be used to describe the wavefront necessary for perfect correction of refractive error and the retina, and with modification, the cornea.
SATURATION SPECTROSCOPY OF C2H4 USING A CO2 LASER SIDEBAND SPECTROMETER

We have studied the saturation spectrum of the nu(7) band of C2H4 using the tunable sideband CO2 laser technique coupled to a Fabry-Perot cavity containing C2H4. About 40 line frequencies have been determined with a typical 100-kHz accuracy. An overall fit including all available information on the coupled nu(4), nu(7), and nu(10) levels improves the nu(7) state and the ground state parameters. (C) 1995 Academic Press, Inc.
Climatic, land-use and socio-economic factors can predict malaria dynamics at fine spatial scales relevant to local health actors: Evidence from rural Madagascar

While much progress has been achieved over the last decades, malaria surveillance and control remain a challenge in countries with limited health care access and resources. High-resolution predictions of malaria incidence using routine surveillance data could represent a powerful tool to health practitioners by targeting malaria control activities where and when they are most needed. Here, we investigate the predictors of spatio-temporal malaria dynamics in rural Madagascar, estimated from facility-based passive surveillance data. Specifically, this study integrates climate, land-use, and representative household survey data to explain and predict malaria dynamics at a high spatial resolution (i.e., by Fokontany, a cluster of villages) relevant to health care practitioners. Combining generalized linear mixed models (GLMM) and path analyses, we found that socio-economic, land use and climatic variables are all important predictors of monthly malaria incidence at fine spatial scales, via both direct and indirect effects. In addition, out-of-sample predictions from our model were able to identify 58% of the Fokontany in the top quintile for malaria incidence and account for 77% of the variation in the Fokontany incidence rank. These results suggest that it is possible to build a predictive framework using environmental and social predictors that can be complementary to standard surveillance systems and help inform control strategies by field actors at local scales.
Venous Thrombus Embolism in Polytrauma: Special Attention to Patients with Traumatic Brain Injury

Venous thrombus embolism (VTE) is common after polytrauma, both of which are considered significant contributors to poor outcomes and mortality. Traumatic brain injury (TBI) is recognized as an independent risk factor for VTE and one of the most common components of polytraumatic injuries. Few studies have assessed the impact of TBI on the development of VTE in polytrauma patients. This study sought to determine whether TBI further increases the risk for VTE in polytrauma patients. A retrospective, multi-center trial was performed from May 2020 to December 2021. The occurrence of venous thrombosis and pulmonary embolism from injury to 28 days after injury was observed. Of 847 enrolled patients, 220 (26%) developed DVT. The incidence of DVT was 31.9% (122/383) in patients with polytrauma with TBI (PT + TBI group), 22.0% (54/246) in patients with polytrauma without TBI (PT group), and 20.2% (44/218) in patients with isolated TBI (TBI group). Despite similar Glasgow Coma Scale scores, the incidence of DVT in the PT + TBI group was significantly higher than in the TBI group (31.9% vs. 20.2%, p < 0.01). Similarly, despite no difference in Injury Severity Scores between the PT + TBI and PT groups, the DVT rate was significantly higher in the PT + TBI group than in the PT group (31.9% vs. 22.0%, p < 0.01). Delayed anticoagulant therapy, delayed mechanical prophylaxis, older age, and higher D-dimer levels were independent predictive risk factors for DVT occurrence in the PT + TBI group. The incidence of PE within the whole population was 6.9% (59/847). Most patients with PE were in the PT + TBI group (64.4%, 38/59), and the PE rate was significantly higher in the PT + TBI group compared to the PT (p < 0.01) or TBI (p < 0.05) group. In conclusion, this study characterizes polytrauma patients at high risk for VTE occurrence and emphasizes that TBI markedly increases the incidence of DVT and PE in polytrauma patients. Delayed anticoagulant therapy and delayed mechanical prophylaxis were identified as the major risk factors for a higher incidence of VTE in polytrauma patients with TBI.
Comparison of Local Metabolic Changes in Diabetic Rodent Kidneys Using Mass Spectrometry Imaging

Understanding the renal region-specific metabolic alteration in different animal models of diabetic nephropathy (DN) is critical for uncovering the underlying mechanisms and for developing effective treatments. In the present study, spatially resolved metabolomics based on air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) was used to compare the local metabolic changes in the kidneys of HFD/STZ-induced diabetic rats and db/db mice. As a result, a total of 67 and 59 discriminating metabolites were identified and visualized in the kidneys of the HFD/STZ-induced diabetic rats and db/db mice, respectively. The result showed that there were significant region-specific changes in the glycolysis, TCA cycle, lipid metabolism, carnitine metabolism, choline metabolism, and purine metabolism in both DN models. However, the regional levels of the ten metabolites, including glucose, AMP, eicosenoic acid, eicosapentaenoic acid, Phosphatidylserine (36:1), Phosphatidylserine (36:4), Phosphatidylethanolamine (34:1), Phosphatidylethanolamine (36:4), Phosphatidylcholine (34:2), Phosphatidylinositol (38:5) were changed in reversed directions, indicating significant differences in the local metabolic phenotypes of these two commonly used DN animal models. This study provides comprehensive and in-depth analysis of the differences in the tissue and molecular pathological features in diabetic kidney injury in HFD/STZ-induced diabetic rats and db/db mice.
A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces

Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while also processing stimulus information through precisely timed spike trains. However, most existing methods do not effectively mine the specific spatial topology of EEG channels and temporal dependencies of the encoded EEG spikes. Moreover, most are designed for specific BCI tasks and lack some generality. Hence, this study presents a novel SNN model with the customized spike-based adaptive graph convolution and long short-term memory (LSTM), termed SGLNet, for EEG-based BCIs. Specifically, we first adopt a learnable spike encoder to convert the raw EEG signals into spike trains. Then, we tailor the concepts of the multi-head adaptive graph convolution to SNN so that it can make good use of the intrinsic spatial topology information among distinct EEG channels. Finally, we design the spike-based LSTM units to further capture the temporal dependencies of the spikes. We evaluate our proposed model on two publicly available datasets from two representative fields of BCI, notably emotion recognition, and motor imagery decoding. The empirical evaluations demonstrate that SGLNet consistently outperforms existing state-of-the-art EEG classification algorithms. This work provides a new perspective for exploring high-performance SNNs for future BCIs with rich spatiotemporal dynamics.
LaneTD: Lane Feature Aggregator Based on Transformer and Dilated Convolution

Deep-learning-based algorithms successfully improve the detection accuracy of traffic lanes. Most of them employed stacked convolutional neural networks (CNNs) to extract semantics, but they have trouble gathering global visual information. What is more, the stacked CNNs perform multiple downsampling, which reduces the resolution of feature map, causing the tiny features easy to be ignored. To address these problems, LaneTD is proposed: a novel lane feature aggregator that extracts and fuses local and global features. This method adopts dilated convolution to extract local features of various scales and enhances global representation based on the transformer encoder. The local information and global information are then weighted fused using a bidirectional feature pyramid. In addition, we apply unsupervised image style transfer to improve the performance in nighttime and dark scenarios. The method is quantitatively evaluated on the public challenging CULane dataset, and the result shows that the proposed method significantly improves the accuracy and computational efficiency of lane detection in different scenarios. Furthermore, an ablation study is carried out, and a discussion of efficiency tradeoff choices can be applied in practice.
Exploring Self-Concepts of Longer-Term Divorcees in Lithuania

ABSTRACT While research has focused on self-concept before or after marriage dissolution, very little research has investigated how individuals understand and evaluate themselves during the longer-lasting and usually highly conflictual divorce process. Qualitative interview data with Lithuanians 6 months or more into their divorce processes suggest that divorcees experience marital dissolution as an interchange of three main processes: losing valued self-parts, a (re)birth of a more valued self, and hanging-self as being stuck in ongoing uncertainty with a need to protect valued parts of oneself. The theoretical and practical implications of these research findings are discussed.
Muhammadiyah and Nahdlatul Ulama Education: Two Main Pillars of National Education in Indonesia

Muhammadiyah and NU are the mainstream Islamic social organizations established before the Indonesian independence. These organizations drive the renewal of Islamic thought, da'wah, social, health, and education. They have thousands of educational institutions spread throughout Indonesia and play an important role in the development of Islamic education, so they are the main pillars of National Education. This study aimed to discuss the role and contribution of Muhammadiyah and NU as pillars of national and Islamic education. A historical approach through source search (heuristics), assessment (criticism), and construction was used. Through an integrative and modern Islamic education system, the results showed that Muhammadiyah had opened the minds of Muslims and the Indonesian people about the importance of religion and science to realize a progressive Islamic society. Furthermore, NU prioritizes the education system of traditional pesantren and madrasas and has instilled basic Islamic teachings in shaping the morals of Muslims and the Indonesian nation. Therefore, Muhammadiyah and NU education contribute to religious moderation (Islam wasathiyah) and pillars of national education. The results of this study have implications for the development of any National Education policy that cannot deny the roles of Muhammadiyah and NU.
High-yielding nitrate transporter cultivars also mitigate methane and nitrous oxide emissions in paddy

Development of high yield rice varieties is critical to ensuring global food security. However, the emission of greenhouse gases (GHG) such as Methane (CH4) and Nitrous oxide (N2O) from paddy fields threatens environmental sustainability. In this study, we selected overexpressed high-affinity nitrate transporters (NRT2.3 along with their partner protein NAR2.1) cultivars, which are effective nitrogen use efficient transgenic lines pOsNAR2.1: OsNAR2.1 (Ox2) and p35S:OsNRT2.3b (O8). We used high (270 kg N/ha) and low (90 kg N/ha) nitrogen (N) fertilizers in paddy fields to evaluate morphophysiological traits, including GHG emission. We found that Ox2 and O8 reduced CH4 emissions by 40% and 60%, respectively, compared to their wild type (WT). During growth stages, there was no consistent N2O discharge pattern between WT and transgenics (Ox2, O8) in low and high N application. However, total cumulative N2O in a cropping season reduced in O8 and increased in Ox2 cultivars, compared to WT. Root aerenchyma formation reduced by 30-60% in transgenic lines. Methanogens like mcrA in low and high N were also reduced by up to 50% from rhizosphere of Ox2 and O8. However, the nitrifying bacterial population such as nosZ reduced in both transgenics significantly, but nirK and nirS did not show a consistent variation. The high yield of transgenic rice with limited aerenchyma mitigates the discharge of CH4 and N2O by reducing root exudates that provide substrates for GHG. Our results improve understanding for breeders to serve the purpose of sustainable development.
Event-averaged maximum likelihood estimation tracking for fire-control

The paper describes an event averaged maximum likelihood estimation (EAMLE) filter and compares its performance with that of a joint probabilistic data association (JPDA) filter in a low observable fire control application for tracking crossing targets in clutter. One of the main distinguishing features of the EAMLE filter is that it explicitly models the error correlation that arises between close targets. As the target separation goes to 0, their error correlation goes to 1, leading to a filter instability that must be regularized. With appropriate regularization, the EAMLE filter estimate has smaller mean square error than the JPDA estimate and lower track loss rate. For a 6 dB test problem studied here, JPDA looses about 5% of targets when they cross. Tracking is improved with EAMLE so that only about 2% of targets are lost.
Influence of Water Content on the Dielectric Characteristics of LN2-Impregnated PPLP for HTS Power Cables

High-temperature superconducting (HTS) power cables operate at low-, medium-, and high-voltage levels for electrical power transmission. Polypropylene-laminated paper (PPLP) is wrapped helically around the HTS layer and it is impregnated with liquid nitrogen (<inline-formula> <tex-math notation="LaTeX">$\text {LN}_{{2}}$ </tex-math></inline-formula>) to form a composite dielectric layer. During the installation and maintenance process of HTS cables, any leak of moisture in the cryostat will lead to immediate ice formation. Once the cable warms up, the ice will melt into water, which will be absorbed by the PPLP Kraft paper layer and is similar to the PPLP paper soaked with water. When the moist PPLP is cooled with <inline-formula> <tex-math notation="LaTeX">$\text {LN}_{{2}}$ </tex-math></inline-formula>, it will form ice and forms a composite material during operation. The objective of this article is to investigate the influence of water content on the breakdown strength, relative permittivity (<inline-formula> <tex-math notation="LaTeX">$\epsilon _{r} $ </tex-math></inline-formula>), and dielectric losses of <inline-formula> <tex-math notation="LaTeX">$\text {LN}_{{2}} $ </tex-math></inline-formula>-impregnated PPLP samples for different numbers of layers. Considering the worst-case scenario of moist samples, wet PPLP samples were tested for breakdown strength and dielectric properties at room temperature (RT) and <inline-formula> <tex-math notation="LaTeX">$\text {LN}_{{2}}$ </tex-math></inline-formula> temperature and were compared with dry PPLP samples. Two different experimental setups were developed to measure the breakdown strength and dielectric properties, respectively, for stacked PPLP layers. The wet and dry samples were tested for the ac <inline-formula> <tex-math notation="LaTeX">${V}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula> characteristics, the effect of PPLP stack thickness on dielectric strength, statistical analysis using two-parameter Weibull distribution, and computation of relative permittivity and loss factor from capacitance measurement.
Fine-structure splittings in high-lying {sup 2}F states of rubidium via three-step laser spectroscopy

Three-step laser spectroscopy has been used to measure six additional fine-structure splittings in the n {sup 2}F states of {sup 87}Rb for 11{<=}n{<=}16. When combined with our previous measurements for 4{<=}n{<=}10, they constitute a continuous sequence of 13 measurements suitable for comparison to fine-structure calculations in heavy alkali-metal atoms where relativistic effects, core polarization, configuration mixing, and electron correlation are important.
Degenerate equilibrium states of collisionless stellar systems

A B STR A CT We study spherically symmetrical equilibrium states of collisionless stellar systems confined to a spherical box. These equilibrium states correspond to the statistics introduced by Lynden-Bell in his theory of ‘violent relaxation’, and are described by a Fermi‐Dirac distribution function. We compute the corresponding equilibrium diagram and show that a global entropy maximum exists for any accessible control parameter. This equilibrium state shows a pronounced separation between a degenerate core and a halo. We therefore check that degeneracy is able to stop the gravitational collapse (of a collisionless system), and we propose a simple model for the ‘core‐halo’ structure. We also discuss the relevance of our study for real galaxies or other astrophysical systems such as massive neutrinos.
Brassica napus BnaC9.DEWAX1 Negatively Regulates Wax Biosynthesis via Transcriptional Suppression of BnCER1-2

Very-long-chain alkane plays an important role as an aliphatic barrier. We previously reported that BnCER1-2 was responsible for alkane biosynthesis in Brassica napus and improved plant tolerance to drought. However, how the expression of BnCER1-2 is regulated is still unknown. Through yeast one-hybrid screening, we identified a transcriptional regulator of BnCER1-2, BnaC9.DEWAX1, which encodes AP2\ERF transcription factor. BnaC9.DEWAX1 targets the nucleus and displays transcriptional repression activity. Electrophoretic mobility shift and transient transcriptional assays suggested that BnaC9.DEWAX1 repressed the transcription of BnCER1-2 by directly interacting with its promoter. BnaC9.DEWAX1 was expressed predominantly in leaves and siliques, which was similar to the expression pattern of BnCER1-2. Hormone and major abiotic stresses such as drought and high salinity affected the expression of BnaC9.DEWAX1. Ectopic expression of BnaC9.DEWAX1 in Arabidopsis plants down-regulated CER1 transcription levels and resulted in a reduction in alkanes and total wax loads in leaves and stems when compared with the wild type, whereas the wax depositions in the dewax mutant returned to the wild type level after complementation of BnaC9.DEWAX1 in the mutant. Moreover, both altered cuticular wax composition and structure contribute to increased epidermal permeability in BnaC9.DEWAX1 overexpression lines. Collectively, these results support the notion that BnaC9.DEWAX1 negatively regulates wax biosynthesis by binding directly to the BnCER1-2 promoter, which provides insights into the regulatory mechanism of wax biosynthesis in B. napus.