Miracle-dz/UniFAR-FTUs huggingface dataset:
The Research of Warning Model of Hidden Failure Based on Data Mining

Complex equipment is mainly used in important areas of national defense, health care, banking, etc. Consequences of failure are relatively severe, while the hidden failures are contained in the most complex devices as the process is running. Hidden failures in the normal operation of the device is difficult to find, and only under certain conditions will be triggered, while other faults may be led. The stability of the running system will be undermined. In order to monitor the occurrence and development of hidden failure of complex equipment, a hidden failure warning model based on data mining has been put forward, and the theory of the model has been analyzed, the selection gist of the model parameters has been given. The result shows that the accuracy of hidden failure impact value forecast by the model is 93.33%, the impact degree of the hidden failure effect on the dominant failure can be effectively monitored, and the model makes a good preventative effect against the sudden failure caused by the hidden failure.
Turnover Rates and Diet–Tissue Discrimination Factors of Nitrogen and Carbon Stable Isotopes in Seahorse Hippocampus reidi Juveniles Following a Laboratory Diet Shift

Simple Summary The main aim of the present study was to ascertain the effect of two feeding schedules (including copepods and Artemia nauplii) on the early development and physiology of seahorse Hippocampus reidi juveniles. For that, we analyzed seahorse performance (growth and survival) and trophic patterns by means of stable isotopes. Our results highlight that the welfare and condition of juveniles were enhanced by extending the period of feeding on copepods up to day 10 after the male’s pouch release. The analysis of turnover rates for δ13C and δ15N revealed that switching copepods to Artemia nauplii at earlier developmental stages would reduce prey assimilation resulting in lower growth rates and survivals. The present study also provides for the diet–tissue discrimination factors for δ13C and δ15N in seahorse juveniles for the first time. Abstract The initial development of seahorse juveniles is characterized by low digestion capabilities. Stable isotope analysis is an effective tool in studies of trophic food webs and animal feeding patterns. The present study provides new insights for the understanding of growth and food assimilation in early developing seahorses following a laboratory diet switch. The study was performed in the early life stages of the seahorse Hippocampus reidi by assessing the influence of diet shift on changes and turnovers in carbon (δ13C) and nitrogen (δ15N) stable isotope in juveniles. Newborn seahorses were fed for 60 days following two feeding schedules (A6 and A11) based initially on copepods Acartia tonsa and subsequently on Artemia nauplii (since days 6 and 11, respectively). After the prey shift, we determined δ13C and δ15N turnover rates as functions of change in either body mass (fitting model G) and days of development (fitting model D), contributions of metabolism and growth to those turnover rates, and diet–tissue discrimination factors. Survival, final dry weight, and final standard length for diet A11 were higher compared to diet A6. The shift from copepods to Artemia led to fast initial enrichments in δ13C and δ15N. Afterwards, the enrichment was gradually reduced until the isotopic equilibrium with the diet was reached. In most cases, both fitting models performed similarly. The isotopic analysis revealed that 100% of tissue turnover was attributed to growth in diet A11, whereas 19–25% was linked to metabolism in diet A6. Diet–tissue discrimination factors were estimated for the first time in seahorse juveniles, resulting in higher estimates for diet A11 (2.9 ± 0.7‰ for δ13C; 2.5 ± 0.2‰ for δ15N) than in diet A6 (1.8 ± 0.1‰ for δ13C; 1.9 ± 0.1‰ for δ15N). This study highlights the relevance of feeding on copepods and their effect on isotopic patterns and discrimination factors in seahorse juveniles after a dietary shift. Regarding the application of the results achieved in relation to the feeding schedules in the rearing of H. reidi, a long period of feeding on copepods during the first days of development is highly recommended.
Factors Influencing Adoption Intention for Electric Vehicles under a Subsidy Deduction: From Different City-Level Perspectives

The popularization of electric vehicles (EVs) is beneficial to the sustainable development of energy and the environment. China’s promotion and development strategy for EVs will serve as a model for other countries. EV ownership has a significant difference between first/second-tier (FST) cities and third/fourth-tier (TFT) cities and there is a huge growth potential for the EV market in those TFT cities. This paper aims to explore the factors influencing the adoption intentions for EVs in FST and TFT cities under a subsidy deduction and to make a comparative analysis of their regional heterogeneity. Based on the extended theory of planned behavior (TPB) model, the structural equation model is used to compare the factors affecting the adoption intention for EVs of 858 respondents in China. The results show that attitude, subjective norms, novelty seeking, non-financial incentive, product cognition, and environmental concerns are positively related to intention in FST and TFT cities; however, infrastructure development only has a positive significant impact in the TFT cities. Additionally, the subsidy deduction has a more negative impact on the adoption intentions in FST cities. Our findings provide vital insights for formulating government regulations and marketing strategies depending on the diverse sizes and attributes of Chinese cities.
Optimizing the stochastic deployment of small base stations in an interleave division multiple access‐based heterogeneous cellular networks

The use of small base stations (SBSs) to improve the throughput of cellular networks gave rise to the advent of heterogeneous cellular networks (HCNs). Still, the interleave division multiple access (IDMA) performance in sleep mode active HCNs has not been studied in the existing literature. This research examines the 24‐h throughput, spectral efficiency (SE), and energy efficiency (EE) of an IDMA‐based HCN and compares the result with orthogonal frequency division multiple access (OFDMA). An energy‐spectral‐efficiency (ESE) model of a two‐tier HCN was developed. A weighted sum modified particle swarm optimization (PSO) algorithm simultaneously maximized the SE and EE of the IDMA‐based HCN. The result obtained showed that the IDMA performs at least 68% better than the OFDMA on the throughput metric. The result also showed that the particle swarm optimization algorithm produced the Pareto optimal front at moderate traffic levels for all varied network parameters of SINR threshold, SBS density, and sleep mode technique. The IDMA‐based HCN can improve the throughput, SE, and EE via sleep mode techniques. Still, the combination of network parameters that simultaneously maximize the SE and EE is interference limited. In sleep mode, the performance of the HCN is better if the SBSs can adapt to spatial and temporal variations in network traffic.
Human resource management and performance in Ibero-America: Bibliometric analysis of scientific production

For years, human resources management has been considered a relevant factor to improve the levels of performance and competitiveness of organizations. Therefore, it has increasingly captured the attention of researchers at a global level. This paper aims to analyze such context in Ibero-America from a bibliometric perspective – the construction of knowledge in the field of human resources management and organizational performance. With that purpose, articles published in the main collection of Web of Science between the years 2010-2020 are analyzed with the help of Bibliometrix and VOSviewer. The results show that Spanish, Brazilian, and Portuguese researchers are the most productive of the group, and that Brazilians are equally the most influential. Likewise, there is a low participation of Latin American authors in prestigious international journals, and little cooperation with the most prestigious universities worldwide. The paper concludes that, in general, when compared to global production, Ibero-American production is still marginal, pointing to a challenge for these authors, especially for Latin Americans. This is a pioneering study, the first attempting to characterize Ibero-American scientific production in the field of human resources management and organizational performance.
Thirty-five years of strategic management research. A country analysis using bibliometric techniques for the 1987-2021 period

As a significant field of study, thirty-five years of strategic management research has accumulated a substantial amount of knowledge. This bibliometric study explores whether the unlimited flow of knowledge and the globalization of education & research in this time period, could drive away (or deter) the identification and specific interest of research in phenomena of national importance. Using bibliometric techniques and visualization of similarities (VOS) procedures of citation and co-citation analyses, this Paper explores research trends at the country level over 35 years using data from the Web of Science database. The aims are to identify: 1) the most visible and prominent actors at the country, regional, and global-level; 2) the evolution of the subjects of research into strategic management at the country, global, and supra-regional level; and 3) the evolution of journals publishing strategic management research articles by location. Findings suggest that common research subjects coexist at higher levels of aggregation, establishing the “paradigm” or general agreement about the field’s boundaries. Additionally, findings show that at the country level, rather than following a global trend, there is an enduring diversification of research agendas that bow to national and supranational factors from geographically close places.
A Comparative Aerodynamic Investigation of a 20° SAE Notchback Model

A 20° SAE Notchback model was utilised in a comparative study between RANS methods with both unstructured and structured grids and Implicit DES methods with structured grids. Experimental data acquired in the Loughborough University wind-tunnel with this Notchback geometry was utilised in this investigation to gauge the accuracy of the two methods. The pressure coefficient at 5 elevations on the base surface of the model was monitored, with the Implicit DES method yielding the lowest mean error of 2.7% against the 13% resulting from RANS.
Stabilization and Tracking of a Quadrotor Using Modified Sigmoid Sliding Mode Control

A modified sigmoid sliding mode control (MS-SMC) approach is proposed for stabilizing and tracking a quadrotor system with a nonlinear sliding surface, where the dynamics model is underactuated, highly coupled, and nonlinear. The constructed nonlinear sliding surface is based on the traditional sliding mode surface with a modified sigmoid function, allowing the initial value to quickly reach equilibrium. A new type of nonlinear SMC is applied for performance improvement of the quadrotor using the proposed modified sigmoid sliding surface. To control the quadrotor effectively, a double-loop control method is used to design the control rate, in which the position subsystem is the outer loop, and the attitude subsystem is the inner loop.With the Lyapunov function, the stability of the overall closed-loop system is ensured by stabilizing each subsystem step by step. Moreover, from a practical point of view, the system performance under the model uncertainties and external disturbances are also considered. The simulation results show that the proposed MS-SMC performs better than the conventional sliding mode control (CSMC) and the back-stepping sliding mode control (BS-SMC) in terms of stabilization and tracking against external disturbances.
Using revised community of inquiry framework to scaffold MOOC-based flipped learning

ABSTRACT The purpose of this study was to qualitatively explore how students experienced the MOOC-based flipped learning and how should different scaffolding be emphasized in different stages in such educational contexts through the lens of the revised community of inquiry (CoI) framework. In total, 22 first-year undergraduate students were invited for one-on-one in-depth interviews. The results indicated that MOOC-based flipped learning allowed students to experience all four types of presences outlined in the revised CoI framework. In terms of each presence, students highlighted that the MOOC-based flipped course provided more learning presence in the form of monitoring and strategy, greater cognitive presence through integration, more social presence through affective expression and open communication, and increased teaching presence through enhancement of direct instruction and assessment during both online and in-class sessions. And the challenges of implementing MOOC-based flipped learning in university courses were also mentioned ranging from the need for group cohesion in in-class learning designs, the necessity of helping students improve planning, triggering events, to the enhancement of design, and organization between MOOCs and the existing formal curricula. The findings have implications for practitioners who hope to build an integrated learning experience around MOOCs.
Signaling Pathways Regulating the Expression of the Glioblastoma Invasion Factor TENM1

Glioblastoma (GBM) is one of the most aggressive cancers, with dismal prognosis despite continuous efforts to improve treatment. Poor prognosis is mostly due to the invasive nature of GBM. Thus, most research has focused on studying the molecular players involved in GBM cell migration and invasion of the surrounding parenchyma, trying to identify effective therapeutic targets against this lethal cancer. Our laboratory discovered the implication of TENM1, also known as ODZ1, in GBM cell migration in vitro and in tumor invasion using different in vivo models. Moreover, we investigated the microenvironmental stimuli that promote the expression of TENM1 in GBM cells and found that macrophage-secreted IL-6 and the extracellular matrix component fibronectin upregulated TENM1 through activation of Stat3. We also described that hypoxia, a common feature of GBM tumors, was able to induce TENM1 by both an epigenetic mechanism and a HIF2α-mediated transcriptional pathway. The fact that TENM1 is a convergence point for various cancer-related signaling pathways might give us a new therapeutic opportunity for GBM treatment. Here, we briefly review the findings described so far about the mechanisms that control the expression of the GBM invasion factor TENM1.
The Impact of the First COVID-19 Stay-at-Home Restrictions on Intergenerational Interactions

ABSTRACT To explore intergenerational differences in the impact of the initial COVID-19 restrictions on interactions, loneliness, and stress, data were collected via online survey from 962 individuals between April 7-May 8, 2020. The predominantly female, White, and well-educated sample included 245 younger adults (YAs), ages 18–34; 374 middle-aged adults (MAs), ages 35–64; and 343 older adults (OAs), ages 65 and above. Face-to-face interaction between generations did decrease significantly, while connections via technology increased somewhat less. About a third of MAs (35%) and OAs (36%) were lonely, compared to 48% of YAs (p = .003), and a higher percentage of YAs (57%) reported being “more lonely” now, compared to MAs (36%) and OAs (41%). OAs reported the least stress; 42% reported low/very low levels of stress compared to YAs (9%) and MAs (20%). Physical exercise and “being in nature” were most often used by all generations to deal with stress. Results suggest the resilience of older adults is helping them during the pandemic.
Progress in the development of adaptive control for shipboard power systems through modeling and simulations

This paper reports on work being conducted on the development of an adaptive control scheme for the proposed zonal Medium Voltage AC and Medium Voltage DC shipboard power systems. These systems are modeled in high fidelity on a Real Time Digital Simulator. Extending the authors' previous work on locating faults using machine learning algorithms, different zonal loadings are simulated on the Medium Voltage AC system to determine how well those algorithms can generalize to previously unseen data. In addition to these system level faults, this paper considers the simulation of faults within power converter modules. The paper also outlines future work, which includes the simulation of the Medium Voltage DC shipboard power system, diagnostic platform integration with the Real Time Digital Simulator to allow real time verification of control schemes and the generation of hardware fault data to validate simulation results.
Immigration and School Threat?: Exploring the Significance of the Border

Objectives: The current study examines the relationship between immigration, school punishment, and place in schools near the U.S.-Mexico border using a racial threat framework. Given the consequences of the immigration-crime link and the growing perception of the U.S.-Mexico border as a crime-ridden place, this study explores how immigration within certain places may differentially impact outcomes of school punishment. Methods: Using Generalized Linear Modeling (GLM) with a logistic link function, we examine the relationship between immigration and school violence by probing variation in school punishment and juvenile justice referrals across Texas schools given their proximity to the U.S.-Mexico border. Results: First, we find that Texas schools located near the U.S.-Mexico border have lower juvenile justice and school discipline rates net other variables in comparison to Texas schools away from the border. Second, we observe a negative relationship between a rise in the immigrant student population and punishment in Texas schools far from the U.S.-Mexico border and no relationship in Texas schools near the U.S.-Mexico border net of other factors. Conclusion: The current study highlights that the local context, such as proximity to the U.S.-Mexico border, is significant when examining the racial threat perspective in school punishment and warrants further attention in future research.
KINETIC MODELS FOR PREDICTION OF COD EFFLUENT FROM UPFLOW ANAEROBIC SLUDGE BLANKET (UASB) REACTOR FOR CANNERY SEAFOOD WASTEWATER TREATMENT

The three identical lab-scale upflow anaerobic sludge blanket (UASB) reactors were operated continuously for treating cannery seafood wastewater at seven hydraulic retention times (HRTs) of 5, 4, 3, 2, 1, 0.5 and 0.25 days. The different of granule sizes from three sources: a cassava factory (CS), a seafood factory (SS), and a palm oil mill (PS), average sizes in the range 1.5-1.7, 0.7-1.0 and 0.1-0.2 mm respectively were used as inocula for anaerobic digestion. The UASB-R1 used only granules from seafood factory (R1-SS), the UASB-R2 used mixed granules from seafood with cassava factory (R2-SS+CS) and the UASB-R3 used mixed granules from seafood factory with palm oil mill (R3-SS+PS). In this study selected mathematical models including Monod, Contois, Grau second-order and modified Stover-Kicannon kinetic models were applied to determine the substrate removal kinetics of UASB reactor. Kinetic parameters were determined through linear regression using experimental data obtained from the steady-state experiment and subsequently used to predict effluent COD. The results showed that Grau second-order and modified Stover-Kicannon kinetic models were more suitable than that of others for predicting the effluent COD, with high the correlation coefficient (R 2 ). In addition, the UASB-R2 from mixed granules with cassava factory (SS+CS) gave the best performance and highest coefficient value.
Oligotrophic Bacterial Community Structure Associated with Muscovite Mineral Is Rich in Proteobacterial Microbiomes Revealed through Next-Generation Sequencing

The microbial life indigenous to mineral deposits are generally regarded as extremophiles as they are tolerant to extreme conditions. The microorganisms that thrive in such environments survive by modifying their metabolic pathway or mechanisms. The microbiome associated with ore deposits remain poorly studied. The present study is the first attempt to explore the taxonomic composition of the bacterial community associated with the muscovite ore deposit from Southern India by using high throughput Illumina sequencing employing the V3 and V4 region of the16S rDNA and bioinformatics channel. A total of 20 bacterial phyla with 55 classes, 96 orders, 192 families, 382 genera and 462 species were recovered in the study. The alpha diversity index suggests that muscovite ore deposits harbored highly variable bacterial communities. Among the bacterial communities, Proteobacteria (33%), Actinobacteria (29.9%), Firmicutes (25.4%), Bacteroidetes (5.5%) and Chloroflexi (2.7%) were the dominate phyla. A total of 156 abundant species and 306 rare species were observed and is an indication of the presence of novel species. This study helps to understand the survival strategy of oligotrophs, which are an important aspect of microbial ecology.
Determinan Potensi Manipulasi Laba Perusahaan Manufaktur Go-Public dengan Menggunakan Fraud Score Model

The purpose of this research is to prove empirically the factors that impact the potential earnings manipulation. The factors that influence earnings manipulation in this study are proxied by financial shenanigans, the effectiveness of the audit committee, audit capacity stress, and industry specialist auditors. The potential corporate earnings manipulation itself is proxied by the Fraud Score Model. This research was conducted at manufacturing companies listed on the Indonesia Stock Exchange with the 2017-2019 observation year. Hypothesis testing uses multiple linear regression analysis. The results of this study can prove that the financial shenanigans has an effect on the potential for earnings manipulation. This study cannot prove that audit capacity stress, industry specialyst auditors, and audit committee effectiveness has an effect on potential earnings manipulation. Keywords: Audit Capacity Stress, Industry Specialist Auditors, Audit Committee Effectiveness, Financial Shenanigans, and Earnings Manipulation
Do Public Scholarships Crowd Out Parental Transfers ? Evidence from France

: This paper investigates the extent to which means-tested scholarships received by higher education students in France crowd out parental financial support. We estimate a private transfer function using survey data completed in 2014 on a sample of students aged between 18 and 24. When introducing the amount of public scholarship as exogenous covariate, we find that one additional euro of scholarship is associated with a decrease in private transfers of 0.40-0.50 euro. We also consider an instrumental variable strategy which exploits the non-linear schedule of the scholarship amount and find a larger effect with a decrease of 0.50-0.65 euros. Overall, our results suggest that a substantial part of student scholarship benefits low-income parents through a reduction in the money they give to their student children.