Miracle-dz/UniFAR-FTUs huggingface dataset:
Registration Reform and the Role of Political Connections in the Initial Public Offering Process: Evidence From China

Registration system reform is a significant and important event in the marketization of the Chinese stock market. Using social network theory, we examine how this institutional change affects the function of the network in initial public offering (IPO) activities. As an exogenous event, registration system reform provides us a good condition to conduct Different-in-Different analysis. Using 1,364 eligible samples of IPO applications in Chinese stock market from 2016 to 2021, the results show that the enterprise’s political connections (PCs) have a positive impact on IPO approval. However, registration system reform mitigates the role of PCs in IPO approval. In particular, attenuation of the efficiency of PCs under the registration system mainly exists in older firms that have long relationships with the government. The registration system can weaken the positive impact of PCs on IPO approval, even under high economic policy uncertainty where endorsements by the government are most effective. Furthermore, under the current Chinese double-track system, which includes both an approval system and a registration system, we find that enterprises with PCs are more likely to stay in the approval system to go public in the multiple application rounds, while enterprises that are not politically connected are more likely to switch the issuance system used from the approval system to the registration system. Lastly, we find that intermediate business connections, as an alternative network, can significantly improve the probability of their clients’ IPO approval, and that registration system reform has strengthened the function of intermediate business connections in IPO approval.
Prevalence and Factors Associated With Suicidal Ideation Among Adult Eritrean Refugees in Northern Ethiopia

Background The present study assessed the prevalence of and factor associated with suicidal ideations among adult Eritrean refugees in Tigray, Ethiopia. Methods A community-based cross-sectional study was carried out among 400 adult refugees living in the Mai-Aini refugee camp in Tigray, Northern Ethiopia from September 2019 to May 2020. The response variable was suicidal ideation and was measured using World Mental Health (WMH) Survey Initiative Version of the World Health Organization Composite International Diagnostic Interview. We applied bivariate and multivariate logistic regression to determine predictors for suicide ideations. Odds ratios and p-values were determined to check the associations between variables, and a p-value <0.05 was considered as a cut-off for statistical significance. Results The prevalence of suicidal ideations was 20.5% (95% CI: 16.4%, 24.5%). Having previous history of trauma [AOR = 2.3, 95% CI: 1.4, 4.5], a history of chronic illness [AOR = 2.9, 95% CI: 1.3, 6.5], a family history of mental disorder [AOR = 3.08, 95% CI: 1.3, 7.06], and history of post-traumatic stress disorder [AOR = 5.7, 95% CI: 2.8, 11.5] were significantly associated with suicidal ideations. Conclusions This study showed that during the stay in the refugee camp, there was a high prevalence of suicide ideations compared to the prevalence of suicide ideations among the general populations of Ethiopia, Europe, and China, and the lifetime pooled prevalence across 17 countries. Having previous history of trauma, a history of chronic illness, a family history of mental disorder, and history of post-traumatic stress disorder were the factors statistically associated with the suicidal ideation.
Withdrawal and Transformation of Rural Homesteads in Traditional Agricultural Areas of China Based on Supply-Demand Balance Analysis

Idle and abandoned rural homesteads not only waste land resources, they also affect the quality of life of farmers and occupy land that could be used for agricultural production and ecological space. Analysis of the supply–demand relationship of rural homesteads is an important prerequisite for the implementation of rural homestead withdrawal and transformation, which is important for improving rural residential quality and land-use efficiency, promoting sustainable development and the classified revitalization of rural areas. Based on high-resolution remote sensing images of typical villages in traditional agricultural areas, a participatory evaluation method was used to analyze the supply–demand balance of rural homesteads and to propose countermeasures for their withdrawal and transformation. The results showed that: 1) rural homesteads have gradually realized the separation of living space and production space, the living function has gradually been enhanced, the production function has gradually weakened, and the ecological aesthetic function has emerged. 2) Farmers’ demand for rural homesteads is driven by various factors, including social and economic development level, lifestyle and livelihood. 3) There are a large number of idle or abandoned rural homesteads in traditional agricultural areas, with great withdrawal potential. The difference between the supply and demand of rural homesteads in use is obvious. The supply of living space of adobe house and mud-brick houses is less than the demand for them, and there is mixed use of space. The supply of production space for brick houses is less than the demand; in general, the supply of buildings is greater than the demand. 4) For rural homesteads still in use, exit and transformation strategies should be formulated according to the relationship between supply and demand, construction quality, spatial independence, and the wishes of farmers. The withdrawal and transformation of rural homesteads based on the balance between supply and demand is in line with the reality of rural development and the Chinese government’s strategy of national rural revitalization.
Research on Assembly Modelling for Product Variant Design

It is point out that a product structure's variant design primarily includes two types-horizontal layout and vertical layout.Based on the arrangement relations of an assembly model,a new approach for assembly modelling is put forward by taking Top Basic Skeleton as a bridge and Pro/ENGINEER as a technical support.This modelling can well adapt to a product's variant design and series design.
Agricultural Management Drive Bacterial Community Assembly in Different Compartments of Soybean Soil-Plant Continuum

Flowering stage of soybean is an important agronomic trait, which is important for soybean yield, quality and adaptability, and is the external expression of integrating external environmental factors and endogenous signals of the plant itself. Cropping system can change soil properties and fertility, which in turn determine plant growth and yield. The microbial community is the key regulator of plant health and production performance. Currently, there is limited understanding of the effects of cropping systems on microbial community composition, ecological processes controlling community assembly in different soil-plant continuum compartments of soybean. Here, we hope to clarify the structure and assembly process of different soybean compartments bacterial community at flowering stage through our work. The results showed that intercropping decreased the species diversity of rhizosphere and phyllosphere, and phylloaphere microbes mainly came from rhizosphere. FAPROTAX function prediction showed that indicator species sensitive to intercropping and crop rotation were involved in nitrogen/phosphorus cycle and degradation process, respectively. In addition, compared to the continuous cropping, intercropping increased the stochastic assembly processes of bacterial communities in plant-associated compartments, while crop rotation increased the complexity and stability of the rhizosphere network and the deterministic assembly process. Our study highlights the importance of intercropping and crop rotation, as well as rhizosphere and phyllosphere compartments for future crop management and sustainable agricultural regulation of crop microbial communities.
Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition

In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However, one of the reasons affecting the performance of the GSSL method is that the training data and test data need to be independently identically distributed (IID); any individual user may show a completely different encephalogram (EEG) data in the same situation. The EEG data may be non-IID. In addition, noise/outlier sensitiveness still exist in GSSL approaches. To these ends, we propose in this paper a novel clustering method based on structure risk minimization model, called multi-model adaptation learning with possibilistic clustering assumption for EEG-based emotion recognition (MA-PCA). It can effectively minimize the influence from the noise/outlier samples based on different EEG-based data distribution in some reproduced kernel Hilbert space. Our main ideas are as follows: (1) reducing the negative impact of noise/outlier patterns through fuzzy entropy regularization, (2) considering the training data and test data are IID and non-IID to obtain a better performance by multi-model adaptation learning, and (3) the algorithm implementation and convergence theorem are also given. A large number of experiments and deep analysis on real DEAP datasets and SEED datasets was carried out. The results show that the MA-PCA method has superior or comparable robustness and generalization performance to EEG-based emotion recognition.
The Impact of Beliefs on Health Information Social Sharing for Users: The Perspectives of Social Psychology and Information Technology

With the integration and penetration of digitization into healthcare services, the comprehensive health industrial market is developing flourishingly. Users are fast-changing the way of health communication. This study investigates psychosocial and technological factors on health information sharing adoption through social sharing services. Based on the unified theory of acceptance and use of technology, social influence theory, and innovation diffusion theory, we developed a hypothesized model for health information social sharing adoption (HISSA), and dimensions of attitude beliefs, control beliefs, and normative beliefs were created. We conducted an empirical study on the adoption intention using a survey for data collection. The results were obtained from 375 valid questionnaires, and their interactions were tested and analyzed using PLS-structural equation modeling. Results implied that (1) social identity of normative beliefs was the most critical variable affecting behavioral intention, which revealed the importance of psychosocial factors; (2) behavioral intention was also determined by user's performance expectancy, facilitating conditions, subjective norm; (3) personal innovativeness had a negative effect on behavioral intention and positive effect on effort expectancy; and (4) effort expectancy and social identity had a positive effect on performance expectancy. This study advances the understanding of social sharing for health and provides references for the development of both virtual health communities and social sharing services to upgrade their products from user's behavior and psychology. This empirical research model may also be useful for researchers who are interested in user's health information behavior.
Circulating C-X-C Motif Ligand 13 as a Biomarker for Early Predicting Efficacy of Subcutaneous Immunotherapy in Children With Chronic Allergic Rhinitis

Background C-X-C motif ligand 13 (CXCL13) and B cell-activating factor (BAFF) are proven to be involved in inflammatory diseases, but their role in allergic rhinitis (AR) remains unclear. The aim of this study was to investigate the role of serum CXCL13 and BAFF in AR and their clinical values as objective biomarkers to predict the efficacy of subcutaneous immunotherapy (SCIT). Methods We prospectively recruited 90 children with AR treated with SCIT and collected their serum specimens before SCIT. One-year follow-up was conducted for all patients, and they were categorized into effective and ineffective groups based on efficacy. The serum concentrations of CXCL13 and BAFF were detected and compared between the two groups. A validation cohort of 52 responders and 26 non-responders were further assessed for both cytokines and serum CXCL13 and BAFF levels were assayed by enzyme-linked immunosorbent assay (ELISA). Results Eighty children completed the follow-up schedule, and 56 children were categorized into the effective group and 24 children into the ineffective group. The serum levels of CXCL13 in the effective group were clearly higher than those in the ineffective group (P < 0.05). Receiver operating characteristic (ROC) curves revealed the potential values of CXCL13 as a biomarker in predicting the response of SCIT. Further, in the validation cohort, ELISA results demonstrated that serum CXCL13 levels were increased in responders than non-responders (P < 0.05). ROC curves showed good accuracy of serum CXCL13 in predicting the efficacy of SCIT. Conclusion Our discovery–validation study demonstrated that circulating CXCL13 might serve as a novel biomarker to predict the outcome of SCIT in childhood AR. The findings indicated that CXCL13 was involved in the pathological mechanisms of AR and made help to the fundamental therapeutic mechanism of SCIT.
Reinventing a Giant Corporation: The Case of Tata Steel

The case on Tata Steel captures the success story of Tata Steel very effectivelyas to how a giant corporation, led by a world-class management team, reinvents itself and sets out on a growth path when faced with dramatic challenges from the environment. This analysis is aimed at summarizing some of the issues and the challenges Tata Steel is likely to face in the years ahead. An attempt has also been made to arrive at some broad strategies and initiatives that the company can implement. Since this analysis is based only on information provided in the case study and additional data available in the public domain – including the Tata Steel website itself—it is very likely that many of the recommended strategies have already received the attention of the company management.
Large-scale parameter modelling for millimeter-wave multiple-input multiple-output channel in 5G ultra-dense network

Network densification (ND) in 5G has been suggested as a solution to improve network capacity. ND has small cell backhaul as its bottleneck in the ensuing ultra-dense network (UDN). Due to the new deployment scenarios of small cells, it becomes necessary to thoroughly investigate the radio-propagation characteristics of the new transmission path between the base station and the small cells. The problem of the impact of small cell height on the backhaul large-scale parameters under typical outdoor-to-indoor (high-rise) and outdoor-to-outdoor (street canyon) scenarios was first investigated. Next, the probability distribution functions of the various parameters were investigated and modeled. Novel use of 5G NR air interface using a deterministic ray-tracing engine to characterize the backhaul at 28 GHz center frequency and 100 MHz bandwidth using 4x4 cross-polarized uniform planar array (UPA) at the base station and 2x2 multiple input, multiple output (MIMO) antennas at the small cells was proposed. New sets of models for root mean square (RMS) delay spread and RMS angular spread suitable for predicting network deployment in the two scenarios and similar environments were presented.
Prescribed Performance Adaptive Tracking Control With Small Overshoot for a Class of Uncertain Second-Order Nonlinear Systems

This brief investigates the problem of prescribed performance adaptive tracking control for a class of second-order nonlinear systems with uncertainties. First, a new performance function is defined to guarantee that the tracking error has small overshoot and converges to a predetermined region for a user-defined time. Then, to effectively diminish the control input energy consumption caused by the introduction of constraints, a novel coordinate transformation function is designed. Next, an improved fixed-time backstepping control framework is established to achieve the tracking control objective. According to the theoretical analysis, all signals of the closed-loop system are bounded, and the tracking error converges to a preset domain with small overshoot for a user-designed time. Finally, numerical simulations confirm the effectiveness of the presented control strategy.
First Record of Lineage IV of Rattus tanezumi (Rodentia: Muridae) from the southern Ryukyus, Japan

Abstract. Based on mitochondrial cytochrome b gene sequences, we report representatives of the Lineage IV of Rattus tanezumi (Rodentia: Muridae) from Miyakojima, Taramajima, and Yonagunijima Islands in the southern Ryukyus as the first record of the lineage from Japan. The new record of Lineage IV provides an addition to the mammal fauna of Japan essentially at the species level. Accordingly, the genus Rattus in Japan consists of five species: R. rattus, Lineage II of R. tanezumi, Lineage IV of R. tanezumi, R. norvegicus, and R. exulans. The Miyakojima–Taramajima and Yonagunijima samples of the Lineage IV had discernible genetic differences, suggesting different origins. From Miyakojima Island and Kojima Island (an islet close to Miyakojima Island). We also found Lineage II of R. tanezumi, indicating that the two lineages coexist on Miyakojima Island. Morphological comparisons of these Lineage IV and Lineage II specimens suggest a greater molar length in Lineage IV than in Lineage II, and differences in the foramen magnum shape. Future detailed studies on genetic structures, morphological characteristics, and distribution of Lineage IV and Lineage II rats in the southern Ryukyus are needed to clarify their evolutionary history.
Programming Experience Requirements for Future Visual Development Environments

: Visual programming is widely adopted for teaching purposes, considered as an appropriate starting base before introducing learners to typical programming languages. However, the progress in such tools is very slow and limited compared to standard programming environments. Moreover, there is no systematic classification regarding the most important requirements to improve the support of visual programming tasks. In this context, we introduce programming experience as the context-specific notion of user-experience for the programming domain. Then, we identify three groups of requirements relating to language, interaction and tools, and elaborate with specific requirements per group. In this analysis, we study related examples from current tools in various domains, while we propose scenarios inspired from source-based programming environments.
MODIFIED CAM-CLAY MODEL CONSIDERING COHESION AND S-D EFFECT AND ITS NUMERICAL IMPLEMENTATION

Due to the conventional modified Cam-clay model can not describe the cohesion properties and different yield strengths in tension and compression performance(S-D effect for short) for geotechnical materials,a modified Cam-clay model with non-associated flow rule is established considering S-D effect on deviatoric plane and cohesion on meridian plane.The main contents of implicit constitutive integration algorithm for the improved model and its implementation procedure are discussed systematically.Based on the platform of software ABAQUS,the user-defined material subroutine UMAT interface is developed to generate corresponding constitutive subroutine of the modified Cam-clay model.Meanwhile,the numerical simulation of triaxial compression test on Belgium Boom clay is implemented.The study result shows that the improved constitutive model and the UMAT subroutine have higher calculation accuracy and good stability,which could effectively depict the nonlinear and plastic flow characteristics of Belgium Boom clay.
A Mechanism for Automatic Digital Evidence Collection on High-Interaction

Honeypots are computational resources whose value re- sides in being probed, attacked or compromised by invaders. This makes it possible to obtain information about their methods, tools and motivations. On high-interaction hon- eypots this is done, among other ways, by collecting digital evidence. This collection is traditionally done manually and statically, demanding time and not always generating good results. In this paper, we describe an automatic, dynamic and transparent mechanism for collecting digital evidence from the filesystem of honeypots, eliminating the flaws found in the traditional methods. The mechanism consists of two modules: an interceptor module, that intercepts some pre- selected system calls on the honeypot and transmits the ar- gument data to the honeynet; and a receiver module, that captures the transmitted data and reconstructs on the hon- eywall the evidence produced by an intruder during an inva- sion. A prototype based on the mechanism was implemented and tested in real intrusion situations. The mechanism's be- havior in one of these situations is also described, followed by an analysis of the results.
Experimental and Numerical Analysis Study on the Structural Performance of Autoclaved Aerated Concrete(AAC) Wall Slab

Four autoclaved aerated concrete(AAC) wall slabs with special truss model designed were prepared for studying their structural performance.The related loading and displacement of the three inspection stages,which are short-term deflection,outgoing and bearing capacity,were obtained.The load-displacement curves of wall slabs were plotted.The failure mode of the designed slab was shown to be bending shear failure mode especially bending failure.Then,the experimental result was analyzed by using the finite element software to obtain the steel bar stress.The simulated results are basically in agreement with those from experimental.Both the simulated and experimental results indicate that the mechanical properties of design autoclaved aerated concrete wall slab with special truss model are in accordance with relevant specifications.The average experimental value and numerical analysis value of bearing capacity reliable coefficient of AAC wall slab are 1.968 and 1.911,respectively.The conclusions presented in this paper can be a reference for later analysis in scopes of research and design and engineering applications.